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Patents and forest
   fire control

MINISTERIO               Oficina Española
DE INDUSTRIA, COMERCIO
Y TURISMO                de Patentes y Marcas
Patents and forest fire control - PreventionWeb.net
© OEPM and INPI (2022)

No part of this publication may be reproduced or transmitted in any form or by any means,
electronic or mechanical, except as permitted by law, without the prior permission of the
copyright holder.

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DL: M-8445-2022
Patents and forest fire control - PreventionWeb.net
Patents and forest
             fire control

         MINISTERIO               Oficina Española
         DE INDUSTRIA, COMERCIO
         Y TURISMO                de Patentes y Marcas

Paseo de la Castellana, 75 – 28071 Madrid                   Campo das Cebolas, s/n. 1149-035 Lisboa
     Tel. 902 157 530 – 910 780 780                             Tel. 218 818 100 – Fax: 218 869 859
  información@oepm.es www.oepm.es                        servico.publico@inpi.pt https://inpi.justica.gov.pt
Patents and forest fire control - PreventionWeb.net
Portuguese Institute of Industrial Propriety, I.P

                                                               Guilherme Távora
                                                               Fedra Oliveira
                                                               Luísa Silvério
                                                               Sofia Antunes
                                                               Inês Cristóvão da Silva

Spanish Patent and Trademark Office, O.A.

                                                               Patricia López Calvo
               MINISTERIO               Oficina Española
               DE INDUSTRIA, COMERCIO
               Y TURISMO                de Patentes y Marcas
                                                               Fernando Olalquiaga del Prado
                                                               Blanca Vila Riudavets
                                                               Carmen Toledo de la Torre

Authors and technical-scientific experts

                                                               Javier Madrigal Olmo. Instituto Nacional
                                                               de Investigación y Tecnología Agrarias y
                                                               Alimentaria, Centro Nacional-Consejo Superior
                                                               de Investigaciones Científicas (INIA-CSIC)

                                                               Rubén Laina Relaño y Yolanda Ambrosio
                                                               Torrijos. Escuela Técnica Superior de Ingeniería
                                                               de Montes, Forestal y del Medio Natural.
                                                               Universidad Politécnica de Madrid

                                                               Alfonso Andrade Otero. Ministerio para la
                                                               Transición Ecológica y el Reto Demográfico

                                                               Tiago Martins de Oliveira e Arlindo Pinto dos
                                                               Santos. Agência para a Gestão Integrada de
                                                               Fogos Rurais, I.P.

                                                               Carlos Fonseca. Laboratório Colaborativo para
                                                               Gestão Integrada da Floresta e do Fogo

Photography

Javier Madrigal. Laboratorio de incendios forestales, Centro de Investigación Forestal (INIA-CSIC)
J. Félix Mateo. COP Cuenca. Consejería de Desarrollo Sostenible JCCM. Plan INFOCAM
Patents and forest fire control - PreventionWeb.net
INSTITUTIONAL
PRESENTATION
Patents and forest fire control - PreventionWeb.net
Institutional presentation

The Portuguese Institute of Industrial Propriety, I.P. (INPI) and the Spanish Patent and Trademark
Office, O.A. (OEPM) have been collaborating over the past few years in several fields, sharing the
vision that Industrial Propriety, by stimulating and protecting the investments in innovation, is a
strategic instrument for the scientific and technological development, as well as for a sustainable and
integrative development of the economy. The aforementioned cooperation between the two entities
has consisted, mainly, on the exchange of experiences and best practices, with the achievement of
very positive results in projects with Iberian impact and in the bilateral organization of several events.

This fruitful collaboration provided an opportunity to carry out a study, using the technical
information provided by patents on the sustainable management of the forest, the fight against
desertification, the prevention of the soil degradation and the loss of biodiversity, and it was then
decided that the focus of that study would be on the analysis of the evolution of patents related to
the control of forest fires.

This is a matter of great importance for Portugal and Spain and represents a permanent challenge
for both countries and, even on a global scale, it is undeniably a matter of current affairs, as
it is closely associated to climate change, which has been identified as one of the biggest
environmental, social and economic threats that the planet and mankind are facing.

Forest fires are, by themselves, a scourge with the most varied repercussions, corresponding in the
Iberian Peninsula to a complex problem that entails high risks for the population as well as for the
environment.

To minimize this general negative impact, innovation, through the knowledge resulting from
scientific research and technologic development, has key potential. The emergence of technologies
in the field of prevention, detection and fire extinguishing, as well as protection and post-fire
restoration soil equipment, is a key ally to establish effective policies and to operate the firefight
and control of wildfires.

Industrial Propriety can play a highly relevant role in this context, since it secures the financial
outcome of the high investments inherent to the Research and Development (R&D). On the
other hand, the patent system, given its own nature, promotes innovation and attracts mores
investments thus encouraging the invention of technologies consecutively more advanced in
the fight against wildfires.

In this study —which usefulness seems to us indisputable— the aim is precisely to present the most
promising technologies in the field of firefight and control of wildfires, which have an associated
patent document. However, it also offers a broader perspective, revealing the main initiatives and
policies related to the fight and control of forest fires, adopted by the Iberian institutions.

We sincerely hope that this study helps to ensure that firefighting, a cross-border key-challenge, is
approached from a broader perspective and that it benefits the Iberian population as a whole.

Ana Bandeira                                           José Antonio Gil Celedonio
President of the Directive                             Director General at Spanish Patent
Council at Portuguese Institute                        and Trademark Office, O.A.
of Industrial Propriety, I.P

6
Patents and forest fire control - PreventionWeb.net
EXECUTIVE SUMMARY
Patents and forest fire control - PreventionWeb.net
Executive summary

                    The number of patent applications related to forest fires
                    has progressively increased in the last decade throughout
                    the world.

                    In particular, in the past 5 years, patent applications related to forest
                    fires have increased at an accelerated pace.

                    Spain is the leading country in the European Union in the filing
                    of patent applications regarding forest fires. In Portugal, there
                    are several awareness campaigns put in place such as «Portugal
                    Chama», which aims to raise people’s awareness to the problem of
                    severe forest fires.

                    Most of the patent applications filed regarding forest fires are not
                    internationalised. Only a small percentage files for protection in
                    other countries.

                    Russia, Australia and Spain are not the top patent filing offices
                    globally; however, they do stand out in the field of forest fires,
                    ahead of other offices such as Japan or the European Patent Office
                    (EPO).

                    More and more inventions are related to the use of artificial
                    intelligence and the use of drones in fighting and controlling forest
                    fires. Portugal has several R&D projects in the field of prevention
                    and detection of rural fires. These projects involve different
                    technologies that meet the ones mentioned in patent documents
                    identified in this study, such as aerial technologies, artificial
                    intelligence and sensors.

                    The fire extinguishing field is the sector with the highest number
                    of patent applications filed, ahead of the detection and prevention
                    field or the protection equipment field.

                    Post-fire restoration is the least patented sector and therefore
                    presents many opportunities for innovation.

                    There is a link between the countries where more patents related
                    to forest fires are filed and those where more fires occur, reflecting
                    the fact that patents are a good indicator of the technologic
                    development generated by social needs.

8
Patents and forest fire control - PreventionWeb.net
INDEX

1.     INTRODUCTION  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

1.1.   Forest fires in the Iberian Peninsula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12

1.2.   Spanish-Portuguese collaboration in the control of fires  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

Business incubator: FOIL-CILIFO  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

1.3.   Purpose of the study.  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

1.4. Using patent information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

1.5.   Methodology  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27

2.     DETECTION AND PREVENTION OF FIRES  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

2.1.   Detection and prevention technologies  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  30

2.2. Evolution of the industry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33

2.3. Relevant technologies  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35

Institution in the sector: Forestwise  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38

R&D Projects on Detection and Prevention of rural fires in Portugal  . . . . . . . . . . . . . . . . . . .  40

Prevention and Detection of fires in Portugal – The opinion of the Agency for Integrated
Rural Fire Management (AGIF, I.P.) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45

3.     FIRE EXTINGUISHING  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  48

3.1.   Fire extinguishing technologies  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  49

3.2. Sector development.  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

3.3. Relevant technologies  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56

                                                                                                                                                                 9
Patents and forest fire control - PreventionWeb.net
Company in the sector: Drone Hopper . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58

Company in the sector: Nitrofirex  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61

UNE Standard 23530:2021 on long term Retardants  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63

4.     PROTECTION EQUIPMENT  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66

4.1.   Protection equipment technologies  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67

4.2. Sector development  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69

4.3. Relevant technologies  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71

Company in the sector: Vallfirest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73

5.     POST-FIRE RESTORATION  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76

5.1.   Post-fire restoration technology  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77

6.     TECHNOLOGY AGAINST FIRES IN THE IBERIAN PENINSULA  . . . . . . . . . . . . . . . . . . . . . .  79

7.     CONCLUSIONS  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82

ANNEX I. Glossary. Country codes  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85

ANNEX II. Search Strategy  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

ANNEX III. List of figures and tables  . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89

10
01
INTRODUCTION
Introduction

1.1. Forest fires in the Iberian                              also publishes a daily evaluation of fire risk,
Peninsula                                                     that combines the information of the annual
                                                              map of fire risk with the daily weather
Undoubtly rural and forest fires have a                       forecast.
very significant impact on citizens and
on natural heritage. It is also clear that                    Figure 1. Fire risk map for 20201
the effects of climate change, such as
heat waves, desertification and other
extreme meteorological phenomena, are
increasingly visible and contribute in a
large extent to the increased risk of forest
fires. Climate change even adds to the
longer risky season and to the prolonged
heat and drought phenomena a bigger and
faster accumulation of the fuel available
to burn, which adds more obstacles to the
management of this scourge.

Therefore, there is a growing and clearly
perceptible trend towards the rise of fire
risk, of longer fire seasons and intense
«mega fires» that rapidly spread and for
which the traditional firefighting methods
can do little. In the European Union, nine
to ten fires are caused by man, either
intentionally or by negligence or accident.
Hence, the raising of public awareness and
the use of educational campaigns about
fire risk are fundamental to prevent such
catastrophes.

In Portugal, the Institute for Nature
Conservation and Forests (ICNF, I.P.) produces
every year, and at the beginning of each year,
maps of fire risk, which indicate the areas that
are most likely to be exposed to forest fires.
These maps not only hold information on the
risk of fire on a scale 1-5, but also indicate
which areas over 500 ha have not burned for
more than 10 years, in hazard classes «High» or
«Very High» (Figure 1).

With the same purpose of monitoring,
prevention and risk analysis, the Portuguese                  The 21st annual report on forest fires in Europe,
Institute for Sea and Atmosphere (IPMA, I.P.)                 Middle East and North Africa 2020, produced

1 21º annual report on forest fires in Europe, Middle East and North Africa 2020, produced by the Cross-border
cooperation - European Commission in the prevention and forest fire extinguishing in the Atlantic axis
(https://www.eixoatlantico.com/images/informes/secretaria_general/informe-incendios-ea_pt.pdf)

12
Introduction

by the European Commission, shows that                        Figure 2. Distribution of burnt areas
Romania was the most affected country,                        in Portugal in 20202
followed by Portugal, Spain and Italy.

Specifically, in mainland Portugal the
burnt surface in 2020 was 67,170 ha, which                                                             N
represented about half the average of the
last decade, which was 138,083 ha. In this
timeframe, 2017 is a year worth noting, as it
was the year in which fires in Portugal had
an impact of unprecedented severity. This
catastrophe triggered several structural,
organising and operative measures, as well
as the development of policy instruments
related to the prevention and fight against
rural fires, which have shown specific
results. From the outset, it was approved
in an extraordinary meeting of the Council                                                 LEGEND
of Ministers, the change from the system                                                      Burnt area 2020 (>5 ha)
                                                                                               (ICNF 15 October)
that existed since 2006 into an Integrated                                                     District

Management System of Rural Fires                                                           0    25   50 km

(SGIFR). The Agency for Integrated Rural
Fire Management (AGIF), a public Institute,
was also created, which is responsible for
the integratedanalysis, planning, evaluation                  Comparing 2021 figures with the history of
and strategic coordination of the SGIFR,                      the previous ten years, it is noted that there
including the qualified intervention in                       were 54% fewer rural fires and 79% fewer
high-risk events.                                             burnt area, comparing the annual average over
                                                              the same period. 2021 had, until 15 October,
In 2020, the most affected area in Portugal                   the lowest number of fires and the second
was the central region, with a total burnt                    lowest number of burnt area, since 2011. A
area of about 32,000 ha, which represents                     change in the most affected geographical
around half of the total registered in the                    regions is also highlighted, compared to 2020.
Portuguese territory (Figure 2). In fact,                     From the district analysis, stood out with the
the biggest fire of 2020 was yield exactly                    highest number of fires, and in descending
in this region, with a burnt area of                          order, Porto (1,297), Braga (688) and Lisbon
about 15,000 ha. Of fires with a specific                     (667). In either case, the fires were mostly
cause, 38% were caused by intentional                         of small dimension (less than 1 ha of burnt
acts (arson), while 50% were caused by                        area). Regarding burnt area, the most affected
accident or negligence. The use of fire                       district was Faro, with 9,268 ha, about 34%
for grassland renewal continues to have                       of the total burnt area until 15 October 2021,
a considerable impact on the total area                       followed by Vila Real, with 4,041 ha (15% total)
burned.                                                       and Braga with 2,117 ha (8% total) (Figure 3).

2   8th Provisional Report on Rural Fires – 2020 (https://www.icnf.pt/api/file/doc/7218b448c991d725)

                                                                                                                         13
Introduction

Of the total of 7,610 rural fires in 2021, 6,438                Prevention is one of the main actions in the
were investigated (85% of the total number                      fight against rural fires. Therefore, it is worth
of fires, responsible for 96% of the total burnt                mentioning a series of measures which
area). Of these, the research allowed the                       were carried out with the goal of preventing
attribution of a cause to 4,327 fires (67% of the               and minimizing the impact of fires, such as
investigated fires – responsible for 90% of the                 renovation and development of new water
total burnt area). The most frequent causes                     reservoirs, the creation of new forest paths
in 2021 were: negligent use of fire (47%) and                   and awareness-raising campaigns such as
arson – attributable (23%), with relevance to                   «Portugal Chama»4 (Figure 4). The main goal
the burning of forest or agricultural surplus                   of the latter is to warn about risky behaviour
(20%), burning of heaps of forestry or                          and to raise public awareness in order to help
agricultural waste (10%) and burning for cattle                 and protect the country from serious rural
grazing management (14%). The reignitions                       fires. The work that is carried out in close
represented 4% of the total of established                      cooperation with the population, through
causes, a lower figure compared to the average                  the local authorities, in «Aldeia Segura» and
of the previous ten years (17%).3                               «Pessoas Seguras» programs, is also very
                                                                important to create structural measures for
Figure 3. Distribution of burnt areas in                        the protection of people and goods and to
Portugal in 2021                                                raise awareness about the prevention of risky
                                                                behaviour and self-protection measures.

                                                                Figure 4. Portugal Chama Campaign5
                                                   N

                                                                Also, in the context of «Portugal Chama»
                                                                National Campaign, the project «Raposa
                                                                Chama» was developed. It is a collective and
                                 LEGEND                         inclusive movement, designed for reaching all
                                    Burnt area 2020 (>5 ha)
                                     (ICNF 15 October)          children and young people, aged 5 to 12,
                                     District
                                 0    25   50 km
                                                                through school, teachers, family and all
                                                                community. With the seal of the Portuguese
                                                                Republic and the collaboration of the Ministry
                                                                of Education, the aim is to raise awareness and
                                                                educate children and young people about fire

3    8th Provisional Report on Rural Fires – 2020 – 2021 (https://www.icnf.pt/api/file/doc/504914cdd1a211bb)
4    Campaign video at https://www.youtube.com/watch?v=k4wb-EH4poY
5    Image taken from https://portugalchama.pt/

14
Introduction

risk behaviour, believing that in the present               Reinforcement Brigades (BRIF) also
they can play a crucial role in raising awareness           perform a very important job not only in
among adults, mainly through their family                   raising public awareness but also in acting
network.                                                    in situ, by carrying out actions aimed at fire
                                                            prevention and extinguishing in the forest.
In Portugal, The National Plan of Integrated                Regarding BRIF (Figure 5), these highly
Management of Rural fires 20-30 (PNGIFR)                    specialised squads of helicopter transport
also stands out. The Plan introduces an                     can operate in any part of the country.
innovative governance model of risk,                        These teams receive constant training and
identifying the strategic goal and the                      coaching, which allows them to act in the
measures to apply, clarifying the roles and                 most demanding situations and the most
responsibilities of the different entities                  complicated fires. The mastery of all fire
cooperating to achieve the goals set. It                    extinguishing techniques, including backfiring,
intends to achieve a vision of a Portugal that              is essential to their performance.
is protected from severe rural fires, defining a
strategy to achieve such goal, to which action              Figure 5. Reinforcement Squad against forest
programs will be associated, on national and                fires of Tabuyo del Monte, at the extinguishing
regional levels, with the annual setting of                 of a fire in Lobios (Ourense) on 08-08-20206
necessary goals and indicators, on which the
PNGIFR monitoring will focus.

In Spain, the 2020 figures were also lower than
the average of the last decade. Specifically, the
total number of fires decreased in about 30%
(from 11,684 to 8,068), while the total burnt
area decreased in about 32% (123,944 ha to
84,257 ha). In terms of geographical regions,
the Northwest region was the most affected,
both as regards the number of large fires and
total area burnt, followed by Mediterranean
and interior regions and Canary Islands.                    In the case of Spain, according to data of
                                                            the General Statistics of Forest Fires (EGIF),
As aforementioned, prevention and firefight                 which is the national database integrating
measures are essential to minimise the                      forest fire reports from all over the
impact that fires have on people and on                     country since 1968, the annual average, in
environmental ecosystems. Community                         approximate figures, of forest affected area
awareness has a key role in the prevention                  is 100,000 ha, from which, 2/3 are accidents
of fires. During 2020, the travelling exhibition            (casualties of less than 1 ha). Likewise, the
«50 years of knowledge and prevention                       fire scheme in Spain is characterised by the
of forest fires», created to celebrate the                  following indicators, among others:
50th anniversary General Statistics of
Forest Fires, crossed the Spanish territory.                h A high interannual and regional variability
Wildfire Prevention Teams (EPRIF), the                        related to affected areas and number of
Preventive Work Brigades and the Wildfire                     causalities (Figures 6, 7 and 8).

6 21st Annual Report on Forest Fires in Europe, Middle East and North Africa 2020, developed by the European
Commission; Transborder Cooperation on the prevention and suppression of forest fires in the Atlantic axis
(https://www.eixoatlantico.com/images/informes/secretaria_general/informe-incendios-ea_pt.pdf

                                                                                                                15
Introduction

         h A high percentage of fires whose causes                        h A small number of events is responsible
           are associated with human action, where                          for a very significant part of the total of
           more than 50% of fires are intentional,                          forest area affected. Specifically, less than
           while fires due to natural causes account                        0.2% of events comprise more than 40%
           for less than 5% of the total (Figure 9).                        of the total forest area affected.

             Figure 6. Evolution of the number of events and affected area. Period 1968-2015. Source: The
             forest fires in Spain. Decade 2006-20157. Page 6

             500,000                                                                                                      30,000
                              Non-wooded area (ha)
                              Wooded area (ha)
             450,000
                              Number of events
                                                                                                                          25,000
             400,000

             350,000
                                                                                                                          20,000

             300,000
Areas (ha)

             250,000                                                                                                      15,000

                                                                                                                                   Nº events
             200,000

                                                                                                                          10,000
                 150,000

                 100,000
                                                                                                                          5,000

                 50,000

                      0                                                                                                   0
                           1984

                           1986
                           1974

                           1983

                           1985

                           1994
                           1976

                           1979

                           2004
                           1982
                           1978

                           1987

                           2000
                           2001

                           2010
                           1996

                           1999

                           2006
                           1990

                           2009
                           1973

                           1989

                           1998
                           1969

                           1975

                           2008
                           1980

                           1988
                           1968

                           1972

                           1993

                           2014
                           1977

                           1995

                           2003

                           2005
                           1992

                           1997

                           2002

                           2007
                           1970
                           1971

                           2015
                           1981

                           2012
                           2011

                           2013
                           1991

             7     https://www.miteco.gob.es/es/biodiversidad/estadisticas/incendios-decenio-2006-2015_tcm30-521617.pdf

       16
Introduction

Figure 7. Evolution of the affected area by geographical area. Source: The forest fires in Spain.
Decade 2006-20158. Page 18

                              Northwest                                                           Interior communities
120,000                                                                        50.000
                                             Wooded area (ha)                  45.000
                                                                                                                         Wooded area (ha)
100,000                                                                        40.000
                                             Forest area (ha)                                                            Forest area (ha)
                                                                               35.000
80,000                                                                         30.000
60,000                                                                         25.000
                                                                               20.000
40,000                                                                          15.000
20,000                                                                          10.000
                                                                                 5.000
          0                                                                          0
              20062007200820092010 2011 2012 2013 2014 2015                              20062007200820092010 2011 2012 2013 2014 2015

                              Canary Islands                                                             Mediterranean
40,000
                                               Wooded area (ha)                90,000
35,000                                                                         80,000
                                               Forest area (ha)
30,000                                                                         70,000              Wooded area (ha)
                                                                               60,000              Forest area (ha)
 25,000
20,000                                                                         50,000
                                                                               40,000
 15,000
                                                                               30,000
 10,000                                                                        20,000
    5,000                                                                      10,000
          0                                                                         0
              20062007200820092010 2011 2012 2013 2014 2015                              20062007200820092010 2011 2012 2013 2014 2015

Figure 8. Monthly distribution of the total number of events throughout all decade, 2006-2015.
Source: The forest fires in Spain8. Decade 2006-2015. Page 51

                              Northwest                                                          Interior communities

14,000                                                                      6,000
                                           Fire outbreak   Fire                                                       Fire outbreak   Fire
12,000                                                                      5,000
10,000                                                                      4,000
 8,000
                                                                            3,000
 6,000
                                                                            2,000
 4,000
 2,000                                                                      1,000
      0                                                                         0
            y        h   il y              t   r
          ar uary arc Apr Ma June July gus be obe be
                                                    r   r   r                     ar
                                                                                    y   y rch pril   y   e  ly    st er    r er   r
        nu    r                              m            be                          ar
                                                                                nu bru Ma    A     Ma Jun Ju ugu mb tobe mb mbe
      Ja Feb
                 M                    Au pte Oct vem cem                      Ja
                                                                                   Fe
                                                                                                              A pte Oc ve
                                                                                                                         o    ece
                                        Se       No   De                                                       Se       N    D

                             Canary Islands                                                             Mediterranean

    250                                                                    4,000
                                                                                                                      Fire outbreak   Fire
                                                 Fire outbreak    Fire     3,500
    200
                                                                           3,000
    150                                                                    2,500
                                                                           2,000
    100                                                                     1,500
                                                                            1,000
     50
                                                                             500
      0                                                                        0
                                                                                     y        h   il y              t   r    r   r   r
            y        h   il y              t   r   r
          ar uary arc Apr Ma June July gus be obe be
                                                      r
                                                        be
                                                          r                        ar uary arc Apr Ma June July gus be obe be      be
        nu    r                              m                                   nu    r  M                           m
                                                                                                               Au pte Oct vem cem
      Ja Feb
                 M                    Au pte Oct vem cem                       Ja Feb                             e        o    e
                                        Se       No De                                                           S        N    D

8     https://www.miteco.gob.es/es/biodiversidad/estadisticas/incendios-decenio-2006-2015_tcm30-521617.pdf

                                                                                                                                             17
Introduction

Figure 9. Forest fires by group of causes, 2006-2015. Source: The forest fires
in Spain. Decade 2006-20159. Page 56

                                                            4.92%
                                                            Lightning

                                          2.20%                      28.07%
                                          Replica                    Negligence and accidents

                        12.11%
                     Unknown

                                                                                     52.70%
                                                                                     5
                                                                                     Deliberate
                                                                                     D

Furthermore, an increase of the risk indices                 (CCAA) resources, which are responsible for
and of the intensity and dangerousness                       fire prevention and firefighting tasks, as well as
for society of forest fires is foreseen in the               the General Administration of the State (AGE)
upcoming decades, as a consequence of the                    resources, which supports the former with a
Global Change (climate change and change                     national coverage system.
in the uses of territory), thus becoming more
and more complex, dangerous and difficult                    Also, in the past years, the AGE as well as the
to manage causalities, although the statistical              CCAA have made a commitment to improve
trends reflected in the General Statistics of                management of forest fires through the
Forest Fires indicate, at present, a reduction of            contracting of IT development, communication
the number of fires and of the affected forest               platforms and technological resources, such
area.                                                        as fire spread simulators, risk index calculation
                                                             programs, big data analytics systems, day and
As a consequence of the aforementioned,                      night forest fire monitoring platforms, etc.
and responding to the legal mandate
reflected in forest fires and in civil protection            An example is the ARBARIA project, which
legislation, Spain has developed, since the                  started to be implemented in 2020. This
1970s, a national system for prevention                      project consists of a computer system for
and extinguishing of forest fires. It is                     forest fires analysis and forecasting, using
professionalised, standardised and with a high               artificial intelligence techniques associated
number of personal and material resources,                   to machine learning and deep learning.
including the Autonomous Communities                         ARBARIA uses historical data from forest fires

9    https://www.miteco.gob.es/es/biodiversidad/estadisticas/incendios-decenio-2006-2015_tcm30-521617.pdf

18
Introduction

that occurred in Spain in the last decades, as                1.2. Spanish-Portuguese
well as weather data and socioeconomical                      collaboration in the control of fires
elements. Through two algorithmic models,
ARBARIA allows to explain and predict the                     The forest ecosystems and the fires that
weekly occurrence of fires regionally, as well                threatens them are the same reality on both sides
as to identify causal socioeconomical patterns,               of the Spanish-Portuguese border. Fires that start
providing very valuable information for fire                  at one country and cross the border causing
extinguishing and prevention actions.                         severe damage in the neighbouring country
                                                              are not rare. For example, the cross-border
From the outset this project shows the                        area between Galicia and the north of Portugal
importance of technological development in                    represents one of the geographical areas with
fire control. As it is well known, the innovation             the largest forest fire concentration of the Iberia
and the Research and Development (R&D) are                    Peninsula (see Figure 10), which prompts the
inseparable partners of Industrial Propriety,                 authorities of both countries to underline the
and play a key role in the ability to adapt                   importance of reinforcing the cross-border
quickly and effectively to the challenges                     operations in the fight against forest fires.
humanity systematically faces.
                                                              Therefore, the collaboration between Portugal
Given the high level of uncertainty in the short,             and Spain in the fight and prevention of forest
medium and long term that the Global Change                   fires is of great importance. For example,
casts, the Forest Fires Fight Commission                      in 2020, the same as preceding years, the
approved, in 2019, the Strategic guidelines for               Protocol of Technical Cooperation and Mutual
the management of forest fires in Spain. These                Assistance regarding Civil Protection and
guidelines set out general, specific goals and                the Additional Protocol on mutual help in
priority courses of action that should inform                 border areas between Portugal and Spain
the activities of all public administrations with             were activated on several occasions, both
competence in this area. In particular, the need              in Portuguese and Spanish territory, with
for improvement of the technology used in                     firefighting resources made available.
the prevention and extinguishing of forest
fires, identifying, among others, the systems                 Figure 10. Location of extinguished fires by
of «fleet tracking, remote detection through                  the Ministry for the Ecological Transition and
satellite or aero transported elements as well                Demographic Right in 202010
as spectral image processing, simulation of
fire behaviour, risk indices associated with
forest, phenological and atmospheric variables,
creation of fuel models, vulnerability, danger
or habitability indices associated to the
urban-forest interface, large historical series
of data analysis (Big Data), improvement of
the technical requirements for the use of fire
in both fire extinguishing and fire prevention»,
among others. These institutional demands
assume a motivation for innovation in the field
of forest fires.

10 21st Annual Report on Forest Fires in Europe, Middle East and North Africa 2020, developed by the European
Commission; Transborder Cooperation on the prevention and suppression of forest fires in the Atlantic axis (https://www.
eixoatlantico.com/images/informes/secretaria_general/informe-incendios-ea_pt.pdf

                                                                                                                       19
Introduction

The Common Strategy of Cross-border               example of how a Spanish-Portuguese
development also includes several measures        association can work. It is a project that
aimed at fire-fighting and prevention of fires,   intends, through the expected results of its
such as:                                          activities, to become a permanent centre
                                                  for development and promotion of training,
h Reinforce the coordination of border            awareness, research and cooperation in the
  resources linked to civil protection; sign      fight against forest fires. Its main goals are:
  agreements between Civil Protection
  National Authorities to continue on             h To reinforce and promote cooperation,
  developing the ARIEM project related to the       working procedures and training between
  Civil Protection and Emergencies; adapt the       the Devices of Prevention and Extinguishing
  action protocols between the firefighting         of Forest Fires in the cooperation field
  and emergency teams on both sides of              of the Euroregion Alentejo – Algarve –
  the border; facilitate the coordination of        Andalucia).
  fire management, with the creation of the
  Iberian Center for the Investigation and        h To promote the creation of sustainable and
  Fighting of Forest Fires (CILIFO).                quality employment in the area of influence
                                                    of the project; reduce the economic cost
h Continue the cooperation on forest fires          of fires by promoting the forest economy
  in the framework of existing protocols            linked to the landscape.
  (Évora Protocol) and through the already
  established national and regional channels.     h To improve the responsiveness to forest
                                                    fires of entities and authorities involved
The Iberian Center for the Investigation and        in the fight against them in the three
Fighting of Forest Fires (CILIFO) is a good         participant regions.

20
Business incubator:
   FOIL-CILIFO

                      21
The Firefighting Open Innovation Lab-CILIFO (FOIL-CILIFO)11 is the first worldwide business and
technology accelerator/incubator focused on the prevention and extinguishing of forest fires,
adaptation and mitigation of climate change, created in the framework of the Iberian Center
for the Investigation and Fighting of Forest Fires (CILIFO)12 project, financed by the European
Union FEDER fund in 75% through the Cross-border Cooperation Programme Interreg VA
Spain-Portugal 2014-2020 (POCTEP). The CILIFO project has a 24.6-million-euro budget. The
incubator FOIL/CILIFO is managed by the Fundación Finnova as one of the beneficiary entities
of the project13.

The FOIL/CILIFO, besides representing an efficient work space, offers services in multiple fields.
The accelerator not only offers the possibility to test innovative technologies with pilot tests,
supporting the implementation of new ideas in the framework of euro-projects, but also allows
consultancy and mentoring through experts, enabling the search of international partners and
providing legal advice.

The FOIL/CILIFO currently has 30 accelerated entities at a European level and three at an
intercontinental level (México, Chile and Brazil). These initiatives are presented in «Innovative
solutions catalogue».

Since the 16 June 2021, the FOIL-CILIFO takes part in the EIT Climate KIC Open Accelerator
- The ClimAccelerator, the accelerator of climate change accelerators, which enables that
entities accelerated and mentored by FOIL-CILIFO, through Finnova, can have an international
networking space with entities that are working on adaptation and mitigation of climate change,
and other environmental issues. EIT Climate KIC is a European community of knowledge and
innovation, supported and powered by the European Commission, to work on the transition to
a carbon-neutral economy. In this context FOIL-CILIFO and EIT Climate KIC Open Accelerator
are boosting several initiatives and project proposals where the prevention and extinguishing of
forest fires is a priority issue.

Furthermore, FOIL-CILIFO has been selected as the representative of Spain in the European
Business Promotion Awards (EEPA) in category 4: «Support for the internationalisation of
companies» and on the 16 November 2021 it was proclaimed the winner in this category at
European level by the European Commission, in association with the Committee of Regions.

11   https://innovation.cilifo.eu/startups
12   https://cilifo.eu/
13   https://finnova.eu/

22
Introduction

1.3. Purpose of the study                                        The report also includes explicit references
                                                                 to other subjects related to the control of
Intended for both public and private                             fires in the Iberian Peninsula, such as research
organisations related to the prevention, control                 projects, public-private partnership initiatives,
and fight against forest fires, as well as the                   innovative companies or the recently published
management and post fire restoration of                          UNE standard on long-term retardants, pioneer
the affected ecosystems, this study aims to                      in Europe.
analyse the evolution of patent applications
filed in this technological field that have been
published worldwide between 2010-2021.                           1.4. Using patent information

The report was elaborated by patent                              Patents are industrial propriety titles that grant
examiners from the Portuguese Institute of                       its owner the right to prevent unauthorized
Industrial Propriety, I.P. (INPI) and from the                   third parties to use their invention, whenever
Spanish Patents and Trademarks Office O.A.                       this invention is new, inventive and industrially
(OEPM), with the scientific-technical advice                     applicable. Nevertheless, in order for an
from experts in the Academic sector as well                      inventor to obtain such right, in addition to
as relevant national bodies with competence                      following a certain administrative procedure
in the fight and control of fires in Spain and                   and paying annual maintenance fees for up to
Portugal.                                                        20 years, he must disclose the invention in the
                                                                 corresponding patent application.
Four relevant technological fields were
identified, each of which is the subject of a                    Therefore, patent documents constitute a
separate section in this report:                                 source of technological information with
                                                                 extraordinary value, since they are a means
h Detection and prevention of fires.                             of dissemination in which an enormous
                                                                 number of inventions are recorded every year.
h Fire extinguishing.                                            Considering only the five most important
                                                                 patent offices in the world (European,
h Protection equipment.                                          American, Chinese, Japanese and Korean), the
                                                                 number of applications filed in 2020 rose to
h Post-fire restoration.                                         2.8 million.14

Each section includes a detailed analysis of the                 Patent databases, many of them free of
most innovative patent applications published                    charge, enable the access to the global
between 2019-2021, as well as statistic analysis                 patent collection estimated in more than 130
on the development of the sector in the past                     million documents. The statistical analysis
10 years, reflected by patent applications                       of all this information provides indicators on
published worldwide. Furthermore, a list of                      technological innovation in a specific field,
patents considered to be the most relevant                       shows where the obtained research results are
has been included, meaning those related to                      protected or who the main actors are, hence
inventions which protection has been extended                    enabling to ascertain the competitors and
to more than one country (2010-2021), and                        those with whom one should alliances. On the
are therefore expected to have a greater                         other hand, a detailed analysis of published
commercial and technological impact.                             patent applications enables to discover

14   https://www.fiveipoffices.org/statistics/statisticsreports/2020edition. IP5 Statistics Report 2020 Edition.

                                                                                                                      23
Introduction

the most innovative technology and spot                       relevant to conduct a study from which
technological trends.                                         significative conclusions may be obtained
                                                              and, consequently, as noted above, it was
The information contained in patents provides                 decided to include in the report all the
knowledge of great utility for decision                       retrieved documents that meet the search
making in innovative companies, research                      requirements.
public entities, other parties related to the
commercialisation and transfer of technology,                 Between 2010 and 2021, 3,137 patent or utility
as well as organisations responsible for                      model documents have been published in
innovative public policies.                                   the world, directly related to forest fires. In
                                                              general terms (Figure 11), it is noted that the
For the analysis of the obtained data, every                  number of published documents has been
patent and utility model retrieved have                       progressively increasing throughout the
been considered, without limiting it to those                 decade. In 2015, 61.26% more documents were
forming part of International Patent Families,                published than in 2010, and from that year
given that the documents published in the                     onwards the number rises at an accelerated
PCT system (Patent Cooperation Treaty),                       pace: in 2021, 357.66% more documents were
in the European Patent Office (EPO) or                        published than in 2011.
in more than one national office15, i.e.,
those that fall under the definition of the                   In 2020, a year marked by the COVID-19
International Patent Families, are only 378.                  pandemic, 58.30% more documents were
This amount of publications does not seem                     retrieved than in 2019.

Figure 11. Total patent documents on forest fires 2010-2021

                                                                                                     505       508

                                                                                  333
                                                                                            319
                                                                        275

                                                              228
                                 205
                                           189
                                                     179
                       159

      111     118

     2010    2011      2012     2013      2014      2015      2016     2017      2018      2019     2020      2021

15 Dernis et al., 2001; Harhoff et al., 2003; Van Pottelsberghe and van Zeebroeck, 2008; Frietsch and Schmoch, 2010;
Martinez, 2011; Squicciarini et al., 2013; Dechezleprêtre et al., 2017).

24
Introduction

Figure 12. Publishing Offices 2010-2021

GR        8
 PT       8
 DE       9
 FR       11
GB        13
CA        18

 JP       20
 EP        44
 ES        44
AU         47
 US            87
WO             91
RU             99
 KR                 203
CN                                                                                          2,392

      0                   500       1,000            1,500              2,000              2,500

76.25% of documents (patents and utility         Specifically, in the field of forest fires, the
models) were published by the Chinese Patent     consulted databases16 reveal that 97.41%
Office (China National Intellectual Property     of retrieved Chinese applications refer to
Administration, CNIPA), which corresponds        innovations protected only in China.
to a total of 2,392 documents. South Korea
published 6.47%, Russia 3.16% and USA 2.77%.     The country where the first application of a
PCT international publications were 2.90%. The   patent’s invention was filed is, frequently, the
total number of shared documents by these        home country of that invention. Thus, the
offices can be seen in Figure 12.                data about the countries where the patent
                                                 or utility model application was filed, from
Over the past few years, the Chinese             which ulterior applications claim priority,
government has been implementing different       offers information on the geographical origin
types of measures aimed at supporting the        of the invention. In the field of forest fires,
country’s innovation. That can explain the       it is possible to observe that China is the
high number of patent applications filed to      country where most inventions have been
CNIPA, related to several types of technology.   filed between 2010-2021. Thus, it is of interest
However, the great majority of these patent      to study the data related to the country that
applications are «domestic applications»,        claims priority excluding the documents
that is, national requests which are not         published in China, due to the reason
subsequently internationally extended.           mentioned in the previous paragraphs.

16    GPI (Global Patent Index).

                                                                                                    25
Introduction

Figure 13. Countries and Offices that claim priority of patent documents. China excluded

                                        1,.19%
                             1.46%      PT
                                 NL
                          1.6%               6.1%       28.51%
                              GR             Others     KR
                         2.25%
                             %
                               FR
                                R
                 2.39%
                        EE
                2.39%
                    JP

                   3.18%
                       %
                         DE

               3.18%
                   GB

                 4.38%                                                         116.58%
                     EP                                                        US
                                                                               U

                         6.23%
                              AU

                                    6.76%
                                       ES                      113.79%
                                                               RU
                                                               R

Figure 13 shows that the countries with the           The three applicants that have filed the highest
highest number of inventions (after China) are        number of published patent or utility model
South Korea (28.51%), USA (16.58%), Russia            applications have their headquarters in China
(13.79%), Spain (6.76%) and Australia (6.23%).        as shown in Table 1.
As to Portugal, the obtained number is 1.19%.

Table 1. Applicants with the highest number of patent applications

 Applicant                                                               Publications
 STATE GRID CORP CHINA                                                       77
 NANJING FOREST POLICE COLLEGE                                               47
 UNIV NORTHEAST FORESTRY                                                     45

26
Introduction

Table 2. Applicants with the highest number of patent documents. China excluded
 Applicant                                                                                   Publications
 TYCO FIRE PRODUCTS LP (US)                                                                       17
 FRS GROUP LLC (US)                                                                               14
 NAT INST FOREST SCIENCE (KR)                                                                     10
 JABE BEHEER B V (NL)                                                                             10

 FEDERAL NOE G BJUDZHETNOE OBRAZOVATEL NOE UCHREZHDENIE VYSSHEGO
                                                                                                   9
 PROFESSIONAL NOGO OBRAZOVANIJA MO GU (RU)

 ARVILLE TEXTILES LTD (GB)                                                                         8
 WILKENING DAVID W (US)                                                                            7
 STS DEFENCE LTD (GB)                                                                              7
 SMART PACKAGING SOLUTIONS SPS (FR)                                                                7
 SCHNARR MICHAEL S (US)                                                                            7
 NIKOLAJEVA IRINA (RU)                                                                             7
 MCLELLAN JOSEPH (US)                                                                              7
 HULBERT DENNIS (US)                                                                               7

Excluding China, eight companies and one                  h Classification of the information retrieved
individual are among the top nine applicants.               in four technological fields: detection and
After the 10th, the proportion of individual                prevention, extinguishing, protection and
applicants rises (Table 2).                                 post-fire restoration equipment.

It should be noted that the applicant’s country           h Analysis of the information in patent
of origin does not always correspond to the                 documents to spot the relevant
country where the patent application has been               technologies of each field.
filed.
                                                          h Statistical analysis

1.5. Methodology                                          The patent classification systems used were
                                                          the International Patent Classification (IPC) and
The following steps were followed in the                  the Cooperative Patent Classification (CPC).
preparation of the report:                                Both specific and less specific classifications of
                                                          forest fires have been taken into consideration.
h Definition of a search strategy with key                These have been combined with key words to
  words and patent classification codes                   limit the search results obtained on the subject
  concerning technologies related to forest               of the report.17
  fires.
                                                          The search has been concluded in full-text
h Search on worldwide-specialized patent                  databases and patent documents that were
  databases, to which INPI and OEPM have                  not specifically aimed at forest fires have been
  access.                                                 discarded.

17   For more information on methodology, see Annex II.

                                                                                                          27
Introduction

The statistics have been performed with         Furthermore, a list of patents relating to
the Global Patent Index (GPI) tool of the       inventions whose protection was extended to
European Patent Office (EPO). These             more than one country between 2010-2021 has
statistics cover a larger period (2010-2021)    been included.
than the analysis of patent documents
(2019-2021) and reflect the number of           Both for the establishment of the technological
inventions assigned to each technological       fields to be analysed, as to the tracking of
field, regardless of the fact that some of      relevant patents, scientific and technical advice
these inventions are also classified in other   has been provided by national experts on the
fields.                                         control of forest fires in the Iberian Peninsula.

28
02
DETECTION AND PREVENTION
                 OF FIRES
Detection and prevention of fires

2.1. Detection and prevention                      Application EP2741264A1 (BOEING CO
technologies                                       [US]) regards the «Forest sensor deployment
                                                   and monitoring system», wherein soil sensor
Detection and prevention technologies              units are deployed in a forest from aerial
concern the identification of a fire outbreak or   vehicles and the collected information is
determining the risk of a fire event.              transmitted to a remote location for analysis.
                                                   The application PT110537A (UNIV DE TRAS
The interest in developing early warning           OS MONTES E ALTO DOURO [PT]), with the
systems and, therefore, investigate and            title «System for remote detection of risk
develop equipment and software to alert about      situations», that comprises monitoring points
these extraordinary events, should be taken        distributed by sensor units that transmit
into consideration in risk management.             data to an unmanned aerial vehicle, also
                                                   efficiently illustrates the relevance of these
Seven technologies for the detection               technologies.
and prevention of fires are highlighted.
These technologies are, in most cases,             Artificial Intelligence and Machine learning
interconnected, and the cases where only one
of them shows up alone in a patent document        There are several applications where data
are rare. Since there is not a complete            analysis and processing in fire detection is
partitioning of technologies, it was decided       processed, with artificial intelligence and
to select the most determining technology          machine learning technologies standing
in each of the applications. Nevertheless,         out.
a subsection was created comprising
applications where several technological           Many technologies use artificial intelligence
fields stand out, referred to as combined          and machine learning to detect fire events
technologies.                                      through data analysis. For example, patent

                                DETECTION AND PREVENTION

                Monitoring                                         Stationary platforms

         IA and Machine Learning                                    Aerial technologies

               Risk analysis                                        Retardant products

           Sensors and Cameras                                   Combined technologies

Monitoring                                         application WO2019048604A1 (FCM
                                                   DIENSTLEISTUNGS AG [CH]) concerns an
Monitoring is the field that stands out the        «Automatic early detection of smoke, soot and
most in fire detection and prevention, and         fire with increased detection reliability using
there is a high incidence of this innovation,      machine learning» wherein an analysis is made
specially detection. Technologies concern the      from a smoke coloured-optimised pixel region
supervision of a certain region with risk of       by a detection algorithm that uses a machine
forest fire.                                       learning calculation model.

30
Detection and prevention of fires

Still in this field, «An emergency response      also disclosed, concerning «An emergency
system and method» is disclosed in               response system and method», that consists
application WO2021174291A1 (STEPHEN              of several sensors which, when sensing
CHRISTOPHER COLIN [AU] et al.), that             several emergency variables, communicate
comprises sensors which sense emergency          that information, through a communication
variables that communicate with a server         channel, to a server, which analyses those
which analyses and determines how to             variables, estimates the risk and determines
respond to an emergency situation. A sensor      the best way to respond to the emergency
is also disclosed which, through artificial      situation, by resorting, specially, to the use
intelligence or machine learning, predicts the   of drones.
probability of ignition after a lightning.
                                                 On the other hand, patent application
As to patent application US2021260421A1          US2021142537A1 (GEN ELECTRIC [US]),
(RAYA GIDEON [IL]), with the title «Fire         with the title «Multi source geographic
control and prevention», it uses sensors that    information system (GIS) web based data
detect certain parameters of animal activity     visualization and interaction for vegetation
and an analysis is made by a computerized        management», consists of a system and
module in order to identify fire escape          method that receives the data from images
behaviours, wherein that identification can      about the vegetation of a certain region and
be made by artificial intelligence.              assigns scores to the fire risk of that region.

Risk analysis                                    Sensors and cameras

Data analysis and processing is often used       Technologies relating to sensors have as
for purposes of performing a risk analysis,      main goal the fire detection at an early
estimating the likelihood of a forest fire       stage.
event.
                                                 Patent application WO2019244094A1
Application WO2021091021A1 (ALCHERA              (LADEIRA JOAO [PT]) with the title
INC [KR]) describes a «Fire detection            «Wildfire detection system and method
system», capable of detecting in a quick         using array of CO2 sensors and artificial
and precise way the beginning of a fire in a     intelligence», describes a sensorial unit
certain region, using images and light flows     for retransmitting the data, a server and
captured by analysis modules that estimate       a software with an algorithm projected
the likelihood or the presence of fire, by       for processing the incoming data and
resorting to a classification system. Patent     trigger the fire detection alarms at an early
application US2014027131A1 (BOEING CO            stage. The application AU2021105697A4
[US]), titled «Wildfire arrest and prevention    (ACADEMY OF WATER RESOURCES
system», claims an apparatus, operation          CONSERVATION FOREST OF QILIAN
controller and method, that enables the          MOUNTAINS GANSU PROVINCE [CN]),
control of unmanned aerial vehicles for          with the epigraph «A Monitoring Device for
detection, prevention and suppression            Forest Ecological Environment» discloses a
of fires in a designated area, through           broader monitoring with high accuracy of
information gathering and analysis, fire         the air in forests, with an automatic video
risk estimation and its extinction using         and rapid positioning. Patent application
the use of retardants. Patent application        WO2021038407A1 (UNIV KING ABDULLAH
WO2021174291A1 (STEPHEN CHRISTOPHER              SCI & TECH [SA]), refers to a «Versatile
COLIN [AU] et al.), mentioned previously, is     optical fibre sensor and method for

                                                                                               31
Detection and prevention of fires

detecting red palm weevil, farm fires, and        collapsible web or frame structure, placed
soil moisture» and consists of an integrated      above the ground by a combination of
system which includes an optical fibre to         lifting balloons and positioning machines
be applied on trees and an acoustic sensor        for managing the elevation, the shape and
connected to the optical fibre, configured        the geolocation of the sunshade device.
to process three optical signals, one to          A sunshade management system controls
determine the presence of red palm weevil,        the said device, collapsing in the evening,
the second to determine the temperature           or on rainy or cloudy days, or when severe
of the location and the third to determine        weather-related events are detected
the humidity, thus allowing to identify the       (thunderstorms, earthquakes, etc.).
presence of a fire.
                                                  Also worth mentioning the application
Camera image technologies are essentially         WO2021091473A1 (HUGNORA INVEST &
connected to detection and monitoring of          TJAENSTEPRODUKTION [SE]), with the title
smoke and flames in forests.                      «System and method for limiting spread
                                                  of wildfire», that defines a fire limiting
Patent application WO2018226128A1                 area, positioning a plurality of droplet
(GORYACHENKOV DMITRY                              generating units along the fire limiting area
ANATOLYEVICH [RU]), with the title                and connecting the units to a liquid source,
«Video camera for the early detection of a        forming a mist which is applied along the fire
wildfire» comprises a housing with a rotating     limiting boundary.
mechanism, an image capturing sensor
and a lens, which in turn are connected to        Aerial Technologies
a data transmission unit and to a remote
monitoring console, capable of identifying        Aerial technologies are present in the
smoke and/or flames from wildfires. As            spectrum of fire detection and prevention
to patent application WO2020089541A1              through information gathering and
(UNIV DE CORSE P PAOLI [FR] et al.), it           transmission.
refers to a «Device for characterizing a fire
and associated method for determining             Patent application KR20210072954 (KOREA
radiant fluxes», that comprises at least one      ELECTRONICS TECHNOLOGY [KR]), named
stereovision system, comprising a first and       «Disposable IoT System for distribution
second image capturing unit and at least          of Disposable IoT Terminal using drone»
one processing unit configured to determine       sets a disposable IoT (Internet of Things)
at least one geometrical feature of the fire at   device, equipped with one or more sensors,
an early stage.                                   at the lower end of a drone which is used
                                                  to predict the spread of forest fires and
Stationary Platforms                              monitoring reignitions.

Stationary platforms are associated with          A «Fire-fighting prevention and response
structures or barriers that have as main goal     system and method for using such a
to hold and/or to stop the spread of forest       system» is described in patent application
fires.                                            WO2020064923A1 (AIRBUS DEFENCE
                                                  & SPACE SAS [FR]), in which drones that
The application titled «Canopy For Climate        communicate with a central station have
And Solar Mitigation», US2021332604A1             a fire detection unit comprising a thermal
(AINTABI JASON [US] ), discloses a                camera and a fire response unit comprising
reflective sunshade connected to a                a container with gas. The drones also have

32
Detection and prevention of fires

monitoring modules for a certain path and a     composition for preventing wildfires»,
control module to trigger the response unit     where the aqueous composition consists
and communicate with the central station.       of a fire retardant and fibrillar cellulose.

Document US2021283439A1                         Combined Technologies
(RAPIDDEPLOY INC [US]) concerning the
«Dispatching UAVs for Wildfire Surveillance»,   This subchapter addresses retrieved patent
discloses an «interface» of unmanned            applications that encompass, in synergy,
aerial vehicles, wherein at least one of        several technologies, described previously,
said UAV has wildfire detection means.          related to the detection and prevention of
The UAV interface transmits an instruction      forest fires.
so that an UAV moves to the location
of the potential wildfire, and receives         Patent application US2019176987A1
data captured by, at least, one sensor.         (BEECHAM JAMES E [US]), with the
The system is capable of processing the         title «System and method for fire
received data and sending a wildfire alert.     suppression via artificial intelligence»
                                                describes a computer enabled with
Retardant Products                              artificial intelligence connected to several
                                                stationary and mobile sensors, that collect
Technologies related to fire retardants         data and communicate it to the system,
have as main goal to slow down or to stop       which indicates possible fires and takes
the spread of flames. Patent applications       action for the extinguishing of those fires
that were found about fire retardants           by resorting, namely, to drones. Patent
describe, mostly, retardants that are used      application WO2021010912A1 (TAYSI
separately or that are part of the chemical     OLCAY [TR]), whose title is «Early fire
composition of the coating of buildings         detection system and a detector suitable
and structures which are intended to            thereof», enables early detection of
protect from possible fires.                    fires in different environments, through
                                                one or more detectors thrown from the
Regarding isolated retardants, it is            aerial vehicles, which are configured to
worth mentioning patent application             analyse collected data about humidity,
US2021154502A1 (M FIRE HOLDINGS                 temperature, smoke, carbon/carbon
LLC [US]), which refers to a «Method of         dioxide and wind direction, and that obtain
and system network for managing the             energy from a solar panel. Finally, patent
application of fire and smoke inhibiting        application US2021232818A1 (AIDASH INC
compositions on ground surfaces before          [US]), with the title «System and method
the incidence of wild-fires, and also           of intelligent vegetation management»
thereafter, upon smoldering ambers and          claims a system that enables image
ashes to reduce smoke and suppress fire         data collection with aerial technologies,
re-ignition», namely, a wireless mobile         determining the fire risk on a given area,
information network, that manages the           by resorting to a convolutional neural
application of a slurry composed of fire        network.
retardants and cellulose or wood fibre,
mixed with water and other additives.
                                                2.2. Evolution of the industry
Patent application WO2020109654A1
(XPYRO OY [FI]) is also worth noting,           Over the study period, 1,737 patent or
which discloses a «Method and aqueous           utility model documents were published

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