CREATING SMART BUSINESSES - Wireless DNA
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Sophie Germain, Ed. Lleret 07121 ParcBit, +34 871 036 991 Illes Balears, Spain contact@wdna.com WDNA .COM
COMPANY WDNA is a company that offers products and services based on R&D&i solutions. It was born in 2014, establishing its headquarters in Mallorca, Spain (Parc Bit technological park). It has been working internationally since 2016, with offices in Mexico and special impact in North America and South America, and growing in the Middle East, Africa and Asia. Since its creation, it is specialized in monitoring, auditing and optimizing networks, offering innovative solutions focused on maximizing its client’s profits. In December 2017, Wireless DNA acquired Meteoclim Services, a tech-based company specialized in meteorology, climate change and BUSINESS TELECOM ATMOSPHERE IoT AREAS climatology, that was launched as a spin-off of the University of the Balearic Islands.
WE ARE R&D&i Framework agreement European, National Contributions in congresses and Patents and utility with Universities and and Regional scientific publications models other organizations for R&D projects technology development 1.7M 90 30 R&D investment College PhDs Students or in 2018-2020 graduates recent graduate trainees LAb +100 +350 24/7 Own resources Telecommunication, International for hardware design electronic and projects Global Operation and manufacturing computer engineers, Center physicists and mathematicians
HISTORY Our goal is excellence, but we always appreciate the recognitions to the effort in pursuit of innovation and efficiency 1,5 M 20 M USERS USERS 2014 2015 2016 2017 2018 2019 METEOCLIM IS PART OF THE WDNA WDNA FAMILY ENTROPY IS BORN IS BORN NATIONWIDE NATIONWIDE CONTRACT CONTRACT FOR A TIER 1 FOR A TIER 1 OPERATOR IN OPERATOR IN ISRAEL MEXICO
J A I B SKILLS H 10 C G D 9 F E 8 E 7 F GENERAL IoT A. IT CLOUD ARCHITECTURES 6 G A. TECHNICAL ASSISTANCE AND HW MAINTENANCE D B. BIG DATA & AI B. FIRMWARE AND EMBEDDED SOFTWARE DESIGN C. BUSINESS INTELLIGENCE 5 C. HARDWARE DESIGN D. INTELLIGENT NETWORK OPERATIONS CENTRE W-NOC 24/7 D. 3D PRINTING DESIGN H E. QUALITY NETWORKS CERTIFICATION C E. LPWA (LORA, SIGFOX, LTE-CATM/NB-IOT) F. DATA ANALYTICS 4 F. IOT / SMART CITY STANDARDS AND REGULATIONS G. SPECIAL EVENTS SMART MANAGEMENT G. ENERGY OPTIMIZATION H. REAL TIME NETWORKS MONITORING B 3 I H. LAB TESTING I. PROJECT MANAGEMENT, PMP I. INVENTORY MANAGEMENT SYSTEMS J. GEO REFERENCE SYSTEMS - GIS 2 J. CUSTOMIZED PROTOTYPES AND SOLUTIONS J A 1 A J B I ATMOSPHERE TELECOM A. CLIMATE CHANGE AND CLIMATOLOGY A. SOLUTIONS ARCHITECTURE B. METEOROLOGY C B. NETWORKS AUDITING H C. NUMERICAL WEATHER PREDICTION MODELS (NWP) C. CEM (TRACES, CDR, MDT, KQIS, GEO, ETC..) D. URBAN WEATHER FORECAST MODELS D. CORE CS/PS E. NOWCASTING D E. NETWORKS ENGINEERING F. CLIMATE PROJECTIONS G F. DRIVE TESTS G. RADAR AND REMOTE SENSING G. END-2-END NETWORK OPTIMIZATION H. NON-TRADITIONAL METEOROLOGY OBSERVATION NETWORKS H. RAN (PLANNING, DESIGN, OPTIMIZATION) E I. DOWNSCALING TECHNIQUES F I. TRANSMISSION & IP J. VALIDATION, CALIBRATION AND POST-PROCESSING J. VAS F E D G H C I RANGE OF KNOWLEDGE FROM 0 TO 10 B A J
PRODUCT STRUCTURE Platform Modules Networks Solutions WATCHER AUDITOR DISCOVERY TELECOM SMART CITY ATMOSPHERE SMART HOTEL Automation Analytics Security IoT SMART TELECOM Forecasting GIS SMART LEISURE
SERVICES Support in the standardization of operational and business processes, smart solutions for all types of problems, Advanced E2E network alignment of the different optimization supported by operator strategies: the ENTROPY platform and network, managed our engineering team services, business AUDIT OPTIMIZATION CONSULTANCY STRATEGY MONETIZATION E2E audits of processes PMO at the service of any Optimization through and key network domains network engineering Business Intelligence (UE, RAN, TX, CORE, VAS, requirement. Managed techniques of revenue and Billing) services. the main metrics (ARPU, CHURN). Cost control, traffic leakage and fraud prevention
WDNA INTELLIGENT NETWORK OPERATIONS CENTER (Wi-NOC) Thanks to ENTROPY’s powerful built-in functionalities and processes intelligence, it is possible to evolve a standard NOC into an Wi-NOC (intelligent NOC). AUTOMATIC ACCEPTANCE PROCESS (ATP) THRESHOLDER Automatic management for acceptance processes Real-time network degradation management. in complex scenarios (roll-outs, swaps). WEATHER CORRELATION QUALITY ASSURANCE & CERTIFICATION Real-time monitoring and forecasting Optimization and audit of process orchestration of weather events affecting network performace. for E2E quality assurance. DISPATCHER Creation, management and tracking of tickets and workflows.
FOCUS ON RESULTS CURRENT SCENARIO WHAT DOES ENTROPY ALLOW? WHAT CONCRETE BENEFITS? MULTIPLE RIGID FLEXIBLE CUSTOMIZATION TOOLS GLOBAL EXECUTIVE VIEW DATA CENTRALIZATION 24/7 NOC SERVICE ENGINEERING TEAM EFFICIENCY MULTIPLE VENDORS AND TECHNOLOGIES UNIVERSAL ACCESS OSS DATA INTEGRITY REVENUE MAXIMIZATION BIG DATA & REAL TIME MASSIVE & UNSTRUCTURED DATA VOLUMES MODULES APPLICABLE TO ALL CONTROL IN COMPLEX SCENARIOS BUSINESS AREAS METEO IMPROVED OPERATIONS CONCURRENT IoT PROJECTS
WDNA TELECOM
ECOSYSTEM MULTI-VENDOR MULTI-TECHNOLOGY VENDOR AGNOSTIC & GLOBAL SERVICE OWN R&D&I STANDARDIZATION DESIGN OPTIMIZATION OPERATIONS CORE TX NOC FINANCES RAN IoT CS/PS (MW/OF/IP) CUSTOMER EXPERIENCE DATA INTEGRITY METEO E2E AUDITS
SERVICES MEC, IOT & 5G STRATEGY VIRTUALIZATION OPTIMIZATION FINANCE ATMOSPHERE CEM SMART CITIES Define Technical Strategy RFI/RFQ LTE / 3G / VoLTE / Voice M2M Network Design Identification of Potential Services KPI Analysis Savings OPEX & CAPEX RAN Design Validation INPUT Recolection SON Smart Cities Catalog Benchmarking Development Advice Increase Administrative Definition & Harmonization Migration Strategy Carrier Aggregation Prediction Efficiency of KPI’s E2E Definition Strategy Agile Decision Making Optimization Rollout evolution Automation Mobility Management According to Financial Data Planning Cloud RAN (C-RAN) and Open RAN (O-RAN) Profile Definition Load Balancing Network Planning Distaster Recovery KPI Analysis based in Financial Trends Network Slicing Datacenter Specs Energy Comsuption Radio Network Resources Consistency Check Optimization RAN Roll Out Evolution Interferences Non-income Sites List Cell Site Rollout Automatic Report Traffic Management Generation E2E Capacity, Monitoring Financial Alarm System and Forecast Central Single Platform E2E Network Topology (FINANCE, RF) (Logical & Physical) Troubleshooting Custom Dashboards
PLATFORM We offer advanced engineering solutions and services to monitor, audit and optimize networks, improving the customer experience and maximizing the financial and operational performance. We achieve this thanks to ENTROPY, WDNA’s platform for real-time network monitoring and audit. Entropy is a transversal solution servicing all verticals deployed into current and future smart networks. ENTROPY is fully flexible and scalable. entropy entropy entropy KPIs monitoring External probes integration End-to-end network view and parameter viewer Configuration management Network design management Degradations E2E integrity Inventory Alarms Dynamic quality certification Topology Customer experience Monetization Workflows Network audits
CHALLENGES THAT OPERATORS FACE TELECOM Multiple vendors OSS Insight Control Efficiency of & technologies in complex engineering Universal Access scenarios teams Multiple data sources OSS Data Concurrent Monetization Massive & unstructured integrity projects data volumes & reliability Revenue Global maximization Heterogeneous executive view and rigid tools
BENEFITS TELECOM EFFICIENCY TIME QUALITY SAVINGS Holistic solution Real time Customer Retain control in OPEX/CAPEX Site visit for many _________________ complaints complex scenarios reduction reduction functionalities reduction _________________ _________________ _________________ 24/7 _________________ _________________ _________________ Reduction Universal Executive and Improved Automatic Minimizing in service information access global view of operations distribution management interruptions _________________ the network _________________ of email reports complaints _________________ Drive test _________________ Off-line _________________ _________________ W-INTEGRITY® reduction Incorrect licenses verifications Easy problem Network quality _________________ and features proprietary KPI _________________ detection assurance Less staff _________________ _________________ Focus _________________ processes _________________ Focused on _________________ Customizable real needs on key issues Plug&Play Lower _________________ and continuous _________________ All areas work communication real-time audits Tasks automation Intuitive with reliable costs data sources
OSS DATA INTEGRITY Thanks to the use of ENTROPY operators take advantage of auditing and ensuring continuously the performance and coherence of their OSS data. WDNA has developed a proprietary KPI, so-called W-INTEGRITY®,WDNA’S PROPRIETARY KPI W-INTEGRITY®, that reflects both the integrity and reliability of the network data collected from the OSS and displayed in Entropy. UNIVERSAL ACCESS OSS SYNCHRONISM DELAYED FILES GENERATION DATA GENERATION THROUGHPUT / BW COMMUNICATION FAILURES INTEGRITY COMMUNICATION REPOSITORY COHERENCE LEVELS PHYSICAL DATA COHERENCE OSS COHERENCE LOGICAL DATA COHERENCE vs ENTROPY CENTRALIZED CONTROL CONSOLE W-INTEGRITY® WDNA’S PROPRIETARY KPI
ENTROPY: % VOICE TRAFFIC OVER GSM 7% 6,42% TIME SAVING / EFFICIENCY 6% 5% 4% -74% 3% GSM TIER1 OPERATOR MEXICO REDUCCIÓN 74% VOICE TRAFFIC 2% OVER GSM Only 3 Senior RF Engineers were in charge of the optimization of: 1% 1,69% → +17000 GSM cells 0% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 1 2 3 4 5 6 7 8 9 → 23 BSCs 2017 2018 → The whole country % DATA (PS) TRAFFIC OVER GSM 1.2 1,07% Achievements: 1 → 2 successful refarmings (spectrum shrinkage) 0.8 → 25% drop call rate improvement in 3 months → 45% drop call rate improvement in 1 year 0.6 -82% despite spectrum shrinkage 0.4 REDUCCIÓN → 7% accessibility improvement 82% DTA (PS) TRAFFIC OVER GSM 0.2 → 74% voice traffic steered towards UMTS (customer target) 0,20% 0 → 82% data traffic steered towards UMTS (customer target) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 1 2 3 4 5 6 7 8 9 2017 2018
ENTROPY: INTERFERENCE DETECTION & CLASSIFICATION Entropy is able to detect RTWP cells with RTWP/RSSI issues and classify them by cause: external interference, HW problem, internal interference, etc. RTWP A powerful GUI is also provided. ud tit La Long itud RTWP (dBm) −110 −105 −100 −95
ENTROPY: ACCEPTANCE TEST PROCESS (ATP) BENEFITS DELIVERABLES Roll-out projects Automatic automatic tracking Acceptance Report (received by email) Reliable information based on Network Audit diagnosis Configuration, SITE CLUSTER NETWORK Alarms and KPIs Delta changes ACCEPTANCE ACCEPTANCE ACCEPTANCE Single View for all Issues diagnosis stakeholders and Executive summary management KEEP CONTROL OF MASSIVE NETWORK CLUSTER 1 Cost savings SITE 1 SITE 2 (OPEX, CAPEX) CHANGES, E.G., and vendors ROLL-OUTS, SWAPS NETWORK performance & VENDOR CLUSTER 2 evaluation SITE 3 Direct improvement of Network Performance and Customer Experience Customizable process
REFERENCES: Drop Call Rate improved by 50%! Traffic increased 100%, payload 400%, throughput 330% and IRAT leakage reduction of 70% GOLAN TELECOM (ISRAEL)
REFERENCES: TIER1 OPERATOR (MEXICO): GSM OPTIMIZATION PEER DETECTION FREQUENCY FEATURES AND REMOVAL PLANS ALIGNMENT BCCH-BSIC REPEATED NETWORK CERTIFICATION FUNCTIONALITY FREQUENCY GOLD ACTIVATION PLANS STANDARDS PREPARATION ADD TRX BY FEATURES AND TIMERS T200 N200 CONGESTION RLT PARAMETERS ACTIVATION TIMERS AMR, TRAFFIC TIMERS ADJUSTMENT AUDIT OF AMR RLT ADJUSTMENT ADJUSTMENT TRANSFER ADJUSTMENT 2G TO 3G OCT 2015 FEB 2016 MAR 2016 APR 2016 MAY 2016 JUL 2016 AUG 2016 OCT 2016 NOV 2016 DEC 2016 2G QUALITY ASSURANCE REFARMING SUPPORT 435.000 adjustments 80.000 adjustments 3 1 1.80 450000,00 25% DROP 45% DROP 1.60 400000,00 CALL RATE CALL RATE Network 1.40 350000,00 MONTHS IMPROVEMENT YEAR IMPROVEMENT 1.20 300000,00 1.00 250000,00 0.80 200000,00 0.60 150000,00 0.40 100000,00 0.20 50000,00 VOICE_TRAFFIC_ERL 0.00 0,00 DROP_CALL_RATE NOV 2015 DEC 2015 JAN 2016 FEB 2016 MAR 2016 APR 2016 MAY 2016 JUN 2016 JUL 2016 AUG 2016 SEP 2016 OCT 2016 NOV 2016 DEC 2016
REFERENCES: TIER1 OPERATOR (MEXICO): UMTS OPTIMIZATION FEATURES REFARMING ALIGNMENT LTE FEATURES TUNING NETWORK MASSIVE CERTIFICATION ROLL OUT GOLD CAPACITY STANDARDS CSFB FEATURES AND MANAGEMENT LTE 3RD PARTY AUDITS PARAMETERS TRAFFIC IRAT REFARMING AUDIT TRANSFER TUNING ANR AUDITS PH2 VoLTE 2G TO 3G FEB 2016 MAR 2016 APR 2016 MAY 2016 JUL 2016 AUG 2016 OCT 2016 NOV 2016 DEC 2016 3G QUALITY ASSURANCE LTE ROLL OUT 750.000 adjustments 350.000 adjustments 3 1 1.80 2000000,00 80% 30% 1.60 3G-2G IRAT 3G DROP 1800000,00 LEAKAGE CALL RATE Network Network 1.40 1600000,00 MONTHS IMPROVEMENT YEAR IMPROVEMENT 1.20 1400000,00 1.00 1200000,00 0.80 1000000,00 0.60 800000,00 0.40 600000,00 0.20 400000,00 TOTAL_TRAFFIC 0.00 200000,00 IRAT_LEAKAGE NOV 2015 DEC 2015 JAN 2016 FEB 2016 MAR 2016 APR 2016 MAY 2016 JUN 2016 JUL 2016 AUG 2016 SEP 2016 OCT 2016 NOV 2016 DEC 2016
REFERENCES: TIER1 OPERATOR (MEXICO): LTE OPTIMIZATION VoLTE VOLTE FEATURES FEATURES PARAMETERIZATION EVALUATION ALIGNMENT NOMINAL GOLD PS AB PLAN STANDARDS REAL OPT LAYER VoLTE MANAGEMENT DASHBOARD JUN 2016 JUL 2016 AUG 2016 SEP 2016 OCT 2016 NOV 2016 DEC 2016 LTE QUALITY ASSURANCE VoLTE IMPLEMENTATION 50.000 adjustments 125.000 adjustments 6 0.90 500000.00 35% LTE Drop 30% PS Abnormal 0.80 450000.00 Call Rate release Network Network 0.70 400000.00 MONTHS IMPROVEMENT IMPROVEMENT 0.60 350000.00 0.50 300000.00 0.40 250000.00 0.30 200000.00 0.20 150000.00 0.10 100000.00 TRAFFIC_DL_GB 0.00 50000.00 DCR JUN 2016 JUL 2016 AUG 2016 SEP 2016 OCT 2016 NOV 2016 DEC 2016
REFERENCES: TIER1 OPERATOR (MEXICO) - ENTROPY MAIN TOOL NETWORK VENDOR EVALUATION 2018
WDNA ATMOSPHERE
BENEFITS ATMOSPHERE NOW 0-6H 6H-7D OBSERVATION NOWCASTING FORECASTING CLIMATE Weather radar, with Deterministic High-resolution Climate change improved quantitative short-term WRF model projections studies precipitation estimation, forecasting (0-6h) (up to 300 m) based on IPCC and resolution of 1km, or nowcasting based for up to 3-day scenarios updated every 10 min on radar observations forecasts and GCM models _________________ _________________ _________________ _________________ Weather stations, public Nowcasting from Global model Statistical and from 3rd parties meteorological for up to 7-day downscaling _________________ model forecasts based on Exclusive access _________________ _________________ Quantile-Quantile to lightning generation Probabilistic Exclusive adjustment method _________________ nowcasting and access to storm Non-conventional blending techniques prediction observations of up to 100 m/ 1 min resolution
OBSERVATION LIGHTNING AND STORMS Exclusive contract with the American company EarthNetworks, FIGURE which allows us access to information in real time: Convective cell over the northeast of Spain. Lightning generation is shown in real → Lightning generation, typology time. The circles on the map (cloud-cloud, cloud-earth rays) indicate the number of electric and origin. Resolution of 200 m, discharges that have been produced in a given area in a updated every minute. 10-minute interval. The intensity of different storms are → Accumulation of electrical represented by geometric figures with different colors discharges by zone in a 10 minutes interval. → Formation, displacement and intensity of storms. Resolution of 500 m, updated every minute.
OBSERVATION IN MEXICO CITY THE TECHNOLOGY ALLOWS TO UNFOLD AN OBSERVATION NETWORK OF MORE THAN 2,500 POINTS WHILE THE OFFICIAL NETWORK OF THE STATE METEOROLOGICAL AGENCY NON-CONVENTIONAL HAS 9 STATIONS AND 1 RADAR OBSERVATIONS (1) We have developed a new real-time weather observation technology that integrates traditional sensors (radar, satellite and weather stations) with information from mobile telephone networks. Through the proprietary solution ENTROPY we monitor and optimize mobile phone networks in real time. The analysis of the large volume of information and KPIs collected allows us, using Deep Learning algorithms, to resolve the state of the atmosphere with great accuracy. The new meteorological observations, in addition to being in real 0 l/h 24 l/h time, increase the current measurement points by orders of magnitude (around a factor of 200 for urban environments), providing observations with a reliability greater than 90%, and a EXISTING INFRASTRUCTURE TECHNOLOGY much higher spatio-temporal coverage and resolution. 9x WEATHER 1x METEOROLOGICAL >2500 STATIONS RADAR MW RAIN GAUGES
OBSERVATION CCA - WDNA NON-CONVENTIONAL OBSERVATIONS (2) To obtain rainfall estimates from the transmission network (MW links), we analyze the key performance indicators (KPIs) of all network elements through algorithms that process the transmitted and received signal level. We analyze and identify all sources of variation in the signal level, among which there is precipitation. This allows to estimate the rainfall intensity averaged over the distance between two microwave links, leading to an additional observation ECOGUARDAS - WDNA point. FIGURE From a network of microwave links, and combining the inferred Example of validation measurements with those obtained from the meteorological radar of our technology. Blue bars show the rainfall and rain gauges, we obtain a rainfall field with greater coverage observed by a rain and spatial and temporal resolution. gauge in Mexico City (gray bars indicate time periods in which the station was not operative). Red dots show the estimated rainfall from the telecommunications network.
NOWCASTING BASED ON OBSERVATIONS (DETERMINISTIC) Weather radar observations are ideal as a tool in the OBSERVATION implementation of very short-term precipitation forecasting or nowcasting techniques. These techniques extrapolate the rain field observed by the radar, assuming that during a short period of forecast time, the temporal evolution of the precipitation field can be extracted from the recent past. At WDNA we develop and implement the latest nowcasting techniques. In addition, we complement radar observations with non-conventional observations, providing the algorithm with a starting observed precipitation field of higher spatial and temporal resolution. We generate 0-6 hours forecasts at a spatial resolution of 100 m to 1 km that are updated every 1-10 min, depending on the PREDICTION available observations. FIGURE Comparison between the observed rain field and a 1-hour forecast obtained with nowcasting based on radar.
NOWCASTING FROM A METEOROLOGICAL 3D IMAGE OF THE STRUCTURE MODEL OF A CYCLONE IN THE MEDITERRANEAN SIMULATED BY A NUMERICAL MODEL At WDNA we are developing a nowcasting method generated from our high-resolution meteorological model. It is a very short-term forecast (0-3 h) that is updated periodically (every 10 min) with resolution of 1 km. The method assimilates the most recent observed data, obtained from weather stations and the meteorological radar. RADAR DATA ASSIMILATION WITH THE HIGHEST FREQUENCY POSSIBLE +40m +50m +20m +30m +10m -2h -1h NOW +1h +2h +3h IMPROVED INITIAL PREDICTIONS CONDITIONS (EVERY 10 MINUTES)
NOWCASTING EXAMPLE OF A PROBABILITY FIELD OF A 1H RAIN FORECAST GENERATED WITH NOWCASTING BASED ON RADAR (PROBABILISTIC) The very short-term rainfall forecast based on the extrapolation of the radar precipitation field (deterministic technique) is subject to several sources of uncertainty that must be taken into account. It is known with certainty that a storm will develop somewhere, but it is unknown what will its exact position be in time and space. Including a probabilistic approach to rainfall forecasts allows to characterize the different sources of uncertainty. In this case, instead of forecasting a precipitation intensity value for each point in the domain, we calculate the probability of obtaining said rainfall intensity. Source: Doctoral thesis of A. Buil (UPC, 2017)
FORECASTS METEOROLOGICAL MODEL Our weather forecasts are generated employing the Weather Research Forecasting Model (WRF), a numerical model that implements a wide range of meteorological applications on scales ranging from meters to thousands of kilometers. This model has multiple configuration options in terms of its dynamic and physical behavior, which allows it to adapt to any weather conditions. We generate regional real-time forecast using WRF at a 4-km resolution. This model allows to obtain precise predictions with up to 3-days forecast. It also allows to run subdomains in any area of the planet with a resolution of up to 300 meters. In addition, we use a lower spatial resolution model (25 km) GFS (Global Forecast System), which provides grid point forecasts of a greater temporal range of up to 7 days.
WEATHER FORECASTS ENERGY GENERATION We use our own forecasts employing Service features: traditional Numerical Weather Prediction → We optimize and adapt (NWP) models to forecast energy generation. weather model run times to market We correct forecasts hourly based on recent sessions closing times observations. → We optimize forecasts for the intraday At the short-term scale, we employ our own market with nowcasting techniques developed nowcasting techniques based on → We assimilate a wide range NWP models to improve intraday forecasts for of observations in the models the electricity market. These techniques assimilate weather radar extrapolation and → We work with energy generation on-site observations. history to optimize forecasts We are conducting several R&D projects that aim to collect additional weather observations, which we feed to our models to improve forecast results for the day-ahead and intraday markets.
CLIMATE WIND ROSE (2040-2069) PROJECTIONS At WDNA we generate our own spatial resolution of the GCMs is Climate Change simulations based on insufficient. Therefore to increase the greenhouse gas emission spatial resolution it is necessary to scenarios (RCPs) established in the employ downscaling techniques. Fifth Assessment Report (AR5) of the DISTRIBUTION OF WIND DIRECTIONS (2010-2039) At WDNA we apply a statistical Intergovernmental Panel on Climate downscaling based on the Quantile to Change (IPCC), and taking into Quantile method to detect the account the approximate calculation impacts of climate change on local of radiative forcing as well as different variability. This method,is endorsed by socio-economic scenarios. several publications in prestigious When it comes to making projections international journals and allows to of future climate trends, General include the local climatic Circulation Models (GCMs) are a characteristics in the global climate fundamental tool. Although Climate simulations, correcting and adapting Change is a problem of global causes them to the local scale. and consequences, its impacts are also manifested locally, so it is essential to FIGURE predict future climatic conditions at a Wind rose and distribution of wind directions for the short- and medium-term regional level. At these scales the future, respectively, at Palma de Mallorca Airport.
SERVICES Real-time observations Nowcasting from 0 to 6 hours Access High-resolution forecasts via API (up to 300 m) or Saas PROFESSIONAL SPECIALIZED LICENSES 24/7 W-NOC PLATFORM APPS FOR USE Meteorological Comfort indices service 24/7 for a range of activities Specialized personnel Route generation and storage Own observations and forecasting system
entropy PLATFORM We offer advanced physics and engineering services and products to monitor, audit and optimize meteorological data information networks, improving the user experience and maximizing the operational and economic performance of our clients. We achieve this through ENTROPY ATMOS, WDNA’s platform to monitor and audit networks in real time and ensure their correct operation over time. A transversal solution that serves all verticals deployed in the smart networks of the present and the future. ENTROPY is totally flexible and scalable. ENTROPY ATMOS is the visualization and operations platform through which we can access detailed observations and predictions. A complete, fluid and easy to use system where we offer all the necessary information.
SPEZIALIZED APPS METEOCLIM AVAILABLE ON THE AVAILABLE ON THE WDNA has developed a weather app reliability in short-term detection. that provides, in addition to real-time This model has multiple configuration forecasts, an early warning system that options in terms of its dynamic and can lead to a disruptive use of this type physical behaviour, which allows it to of application. adapt to any weather situation. RAIN ALERT: 2-hour forecasts with a This enables new B2B and B2C business reliability of 90%. models with applications in many LIGHTNING ALERT: Each electrical economic sectors such as insurance, discharge in real time with a reliability of commercial aviation, emergency 200m. prevention and civil protection, sports, etc ... FIRE ALERT: Fire risk and fire propagation. It is based on the nowcasting models developed by WDNA. Through our Entropy platform and its innovative high-spatial resolution meteorological forecast model, we can offer high
SPECIALIZED APPS METEOSPORT AVAILABLE ON THE AVAILABLE ON THE WDNA has developed an app that In addition, it offers the possibility of aims to facilitate training and generating and storing customized competition for sports enthusiasts. routes and to implement local forecasts on them in a geolocated format. It is based on an algorithm that is able Offering a high quality result in real to score with a numerical value the time, with the possibility of analyzing comfort degree for the user to perform different scenarios. a certain activity, such as sailing, cycling, trekking, sunbathing, soccer, WDNA is working on several golf and cultural activities. It also segmented apps to reach the entire determines the most suitable areas for world. the realization of the sport or activity. In addition, WDNA generates regularly The degree of comfort takes into official forecast for a range of sporting account multiple weather variables: events. temperature, wind, humidity, the degree of professionalism of the user or their clothing.
WDNA IoT Innovation of Things
IoT 5G-Waste Cooling 3D SolidState Smart Special Management Patrol Anemometer Monitoring Solutions Energy/Water System
5G-Waste Management 5GWASTE.COM
PRODUCT Wireless DNA has developed a solution for The system consists of three parts 2. GATEWAY monitoring Solid Urban Waste (SUW) that working together: An electronic device that is installed at the provides real-time information on the weight working location of the containers and of each type of container / waste. 1. WEIGHT SENSOR ® collects data from all the containers in the An electronic device that is installed in premises. This enables the optimization of collection each of the wheels of the container. It is routes and the collection service, as well as 3. WEB not necessary to replace the containers or controlling that the containers are correctly An online platform for storage, processing any essential part of them. used. The solution is adaptable to the variety and viewing the information received. of existing containers, offering an integrated In addition to the weight sensor, the device solution of communication, intelligence and has sensors for movement, temperature, visualization. volume and even the possibility of detecting odors. IoT Intelligent Waste Management System
RESULTS MOVEMENT TEMPERATURE RSSI WEIGHT VOLUME POSSIBILITY GEO POSITION of containers (C) of container (Received Signal (kg) (% filled) of odor detection (not by GPS) Strength Indicator) DIFFERENT COMPREHENSIVE SERVICE : Adaptable solution COMMUNICATION design, installation, to any type of container OPTIONS: communication, intelligence, —————— LoRa, Wifi, GPRS, visualization and maintenance Ethernet, + 5G —————— —————— IoT Intelligent Waste Management System
INTERFACE, PROTOTYPES AND DEVICES IoT Intelligent Waste Management System
TECHNICAL INTELLIGENT WASTE MANAGEMENT SYSTEM SPECIFICATIONS Standard weight sensor *1 Maximum frequency of readings 800 *2 5 kg minutes Wireless technology LoRa, wifi - Radio frequency band ISM < 1 GHz Wifi 2,4 GHz Time needed for installation 35* minutes Built-in battery capacity 10000 mAh Battery duration 12* months Registered parameters Weight kg Temperature ºC RSSI dBm SNR -dB Movement Yes/No Battery voltage V Working temperature range -20 .. +70 ºC Minimum weight 10* kg Weight resolution 1 kg Temperature resolution 0,1 ºC Voltage resolution 0,1 V 24/7 service 1 Other weights and special solutions: on-demand 2 Approximate values. They depend on the use and conditions of the environment. IoT Intelligent Waste Management System
Cooling Patrol
PRODUCT Wireless DNA has developed a cold chain The system is composed of three 2. HARDWARE INSTALLED OUTSIDE monitoring and optimization solution that elements that work together: THE REFRIGERATOR CAMERAS allows risk reduction and provides oversight of Using the latest available technology, it refrigerated and frozen products. 1. WIRELESS SENSOR collects the data sent by the internal It is placed inside the cold room to collect sensor, with a sampling rate of up to 2 The solution is adaptable to all types of temperature data and is able to detect seconds. equipment and enables an integration deficiencies in the cooling system. between communication, control and 3. WEB visualization of the results. The accuracy and reliability of the sensor An online platform for storage, processing ensures optimal operation and maximum and viewing of the information received. confidence. Possibility of issuing automated notices in case of incident, via email, SMS, telephone call, actuator relay ... IoT Cooling Patrol
RESULTS ENERGY MAINTENANCE TOXICITY CONTROL SAVINGS Durability due RISK KPIs and Control over to good Detection of geolocation consumption and performance incidents that state of machinery affect food safety IoT Cooling Patrol
TECHNICAL SPECIFICATIONS COOLING PATROL Working temperature range -10 .. +50 ºC Registered parameters Temperature ºC Humidity %HR Battery voltage V RSSI dBm SNR dB Maximum frequency of readings 1 minutes Battery duration 12* months Built-in battery capacity 9000 mAh Wireless technology LoRa, Wifi, … - Radio frequency band ISM
3D SolidState Anemometer
PRODUCT Hot wire thermal anemometer, solid state, without moving parts, very low cost and which is able to record wind data, both in the horizontal plane and the vertical component very accurately and in real time. To obtain the three-dimensional measurements, multiple sensors of the NTC type are used, where one of them measures the wind speed and the rest measure wind direction. They are complemented by other sensors that provide additional information on temperature and humidity, which are useful for the prediction of thermal turbulence. IoT 3D SolidState Anemometer
RESULTS OBSERVATION MASSIVE FORECAST Reliable and simple DEPLOYMENT Data assimilation observation tool Low-cost and in our predictive model high-robustness improving its results observation networks that provide information in real time IoT 3D SolidState Anemometer
TECHNICAL ANEMOMETER SPECIFICATIONS Working temperature range -10 .. +50 ºC Registered parameters Temperature ºC Humidity %HR Battery voltage V RSSI dBm SNR dB Wind speed m/s Wind direction 360º Maximum reading frequency 30 seconds Battery duration 12* months Built-in battery capacity 1420 mAh Wireless technology LoRa, Wifi, 4G… - Banda radiofrecuencia ISM
Smart Monitoring Energy/Water System
PRODUCT Wireless DNA has developed a system for The system works with the 2. WEB PLATFORM monitoring and optimizing energy and water following elements: An online platform for collecting, networks. Through the implantation of sensors processing and viewing received data. and devices of low cost and easy installation 1. PHYSICAL DEVICE (NOT INTRUSIVE) on any type of network, we It is placed in the water and / or energy extract energy ratios, we develop systems networks and collects consumption data. performance formulas, optimize power and The accuracy and reliability of the sensor consumption, etc . ensures optimal operation and maximum confidence. It allows to transmit the data wirelessly. IoT Smart Monitoring Energy/Water System
RESULTS CONSUMPTION POWER DEVIATION EFFICIENCY CONTROL accumulated by period contracted fit of consumption General indicator KPIs and alarm and forecasted in units to consumption with respect about the generation of energy, euros and CO2 to average installation IoT Smart Monitoring Energy/Water System
TECHNICAL SMART MONITORING ENERGY/WATER SYSTEM SPECIFICATIONS Working temperature range -40 .. +60 ºC Registered parameters Temperature ºC Humidity %HR Battery voltage V RSSI dBm SNR dB Load kWh Power kW Maximum reading frequency 5 seconds Battery duration 12* months Built-in battery capacity 9000 mAh Wireless technology LoRa, Wifi, 4G… - Radio frequency band ISM
Special Solutions
PRODUCT Our Entropy technology platform allows the integration of different We enable our customers to obtain data for the implementation of equipment and sensors from different manufacturers in order to SMART solutions in business organizations, public administrations and monitor and measure different parameters related to any event. any entity that aims to manage their environment in a sustainable manner. Likewise, obtaining these data and integrating them with tools Artificial Intelligence and Big Data are put at the service of our (own by WDNA and / or third parties) allows us to approach valid customers to measure and manage better. solutions within the areas of mobility and infrastructure management, both in terms of preventive, as well as corrective and informative. POLLUTION NOISE PARKING COUNTERS Air quality Measurement Occupation Access, occupation monitoring of sound levels and availability and mobility of people and vehicles IoT Massive Deployment
WE ADAPT TO REAL CUSTOMER NEEDS WDNA's work is based on R&D&i and scientific work. We also have the ability to develop specific, custom-fit solutions and products. We will be delighted to collaborate with you and to help you provide a smart touch to your company.
ROAD MAP IoT MONITORING —— CUSTOMER CENTRIC NETWORK SMART OPERATION COGNITIVE RAN MIXED REALITY GIS (QoE METRICS) —— —— —— —— CEM CROWDSOURCING SDN SUPERVISION OpenRAN SERVICES READY-TO-BIG DATA —— —— —— —— TELECOM E2E NETWORK AUDITS SELF-LEARNING ANALYTICS NETWORK SECURITY AUDITS NETWORK SERVICES —— —— ORCHESTRATION —— MULTI-TENANT ARCHITECTURE PYTHON/R CONSOLE —— 3D INTERACTIVE GIS —— FOR ADVANCED DRONE & SATELLITE SIGNAL OPT —— C-SON ENGINEERING RF SIGNAL ANOMALIES SELF-DIAGNOSE —— CPEs MONITORING 2018 & PRECEDING 2019 2020 2021 PROBABILISTIC STREET-LEVEL NOWCASTING —— PROBABILISTIC STREET-LEVEL HIGH-RESOLUTION FORECASTING FORECASTING EARLY WARNING SYSTEM: —— —— WEATHER, FIRES, BEHAVIORAL IMPACT OF WEATHER DETERMINISTIC RADAR NOWCASTING NON-CONVENTIONAL OBSERVATIONS AIR QUALITY, FLOODING CONDITIONS APPLIED TO HEALTH, —— FROM OTHER SOURCES 2.0 —— BIOSPHERE, MOBILITY, SECURITY… THIRD-PARTY OBSERVATIONS —— NON-CONVENTIONAL OBSERVATIONS —— —— EXTENSIVE MARINE WEATHER USING TELECOMMUNICATIONS 2.0 & OTHER ATMOSPHERE NON-CONVENTIONAL SOURCES OBSERVATION NETWORK CLOUD COVER AND WIND OBSERVATIONS USING —— HIGH-RESOLUTION FORECASTING —— & NOWCASTING TELECOMMUNICATIONS AI WEATHER MODELLING MARINE & URBAN WEATHER —— —— FOR URBAN ENVIRONMENTS OBSERVATION SOLUTIONS SEASONAL FORECASTING METEOSPORT 2.0, —— —— SMARTWEATHER 2.0, ENTROPY RELEASE 9, METEOSPORT 4.0, ENTROPY SMARTWEATHER METEOSAIL 1.0 METEOSAIL 3.0, METEOCLIM APP 2.0 (WITHIN ENTROPY RELEASE 8), METEOSPORT 3.0, METEOSAIL 2.0, METEOCLIM APP 1.0 SMART WASTE BIN (+ WEATHER STATION) —— WEATHER STATIONS 1.0 (WIND, TEMPERATURE, HUMIDITY) SMART WASTE MANAGEMENT 1.0 SMART WASTE MANAGEMENT 1.0 ADAPTED TO MARINE WEATHER STATIONS 2.0 (+PRECIPITATION) (WEIGHT, VOLUME) IoT (WEIGHT, VOLUME) —— —— COOLING PATROL 1.0 —— CONDITIONS, CONNECTED —— COOLING PATROL 3.0 COOLING PATROL 1.0 WITH MESH NETWORK TECHNOLOGY (WHOLE COOLING-CHAIN MONITORING) —— 3D SOLID STATE ANEMOMETER —— COOLING PATROL 2.0 (PLUG & PLAY)
CREATING SMART BUSINESSES WDNA .COM
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