Information Modeling for Lab-Devices - Part 1 - Dr. Matthias Arnold Aachen, 2018-07-04 - Spectaris
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Information Modeling for Lab-Devices – Part 1 Dr. Matthias Arnold Aachen, 2018-07-04 For internal use only
Workshop goal What? Develop a solid foundation for decision making about our next steps when moving forward. How? Apply a proven method of information-modeling onto two different example devices out of the groups portfolio/ scope in a „hands-on“ approach. Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 2
Why? – Interoperability in the Laboratory To achieve interoperability & connectivity for devices in the life-science laboratory As prerequisite for information integration As enabler for “Laboratory 4.0 / Lab IoT” As enabler for efficiency gains Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 4
Challenges Heterogeneity Multitude of Device Types Multitude of Vendors Multitude of Applications … We have to clearly define our focus: what’s in – what’s out? Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 6
How What to focus on? Source: Abstimmungsgespräch Spectaris-VDMA zu „OPC UA Wägetechnik“, VDMA, 2018-06-28 Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 8
How What to focus on? Workflow & Application Centric > Who knows about all the different workflows & applications in the lab? Use-case Centric > Operation > Documentation > Maintenance & Service > Workflows & recipes > Sample Management Device Centric (Use-Cases) Source: https://diaryfromjapan.wordpress.com/2010/07/16/bioprocess-lab/ > Start with the Things we know best .. ✔ As device vendors we might focus on device specific aspects first! Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 9
How Which kind of data? Scientific/Quality Data Lab-Operations • Analytical data of Materials, Products, .. • Sequencing data • Workflows & Samples • .. Operational Data • Process values & set-points, state, .. Connectivity • Alarms, events, audit trails • Programs, .. Resource Data • Verification & Qualification • (Predictive) Maintenance • Device Health & Wear • Resource Utilization, • Resource-Downtimes, .. Source: From R&D to Manufacturing – Data transparency through connectivity unleashes efficiencies, Dr. Matthias Arnold ISPE 2017 Europe Pharma 4.0 Conference, Verona 23.11.2017 Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 10
Digitalization Concepts Market Trends Source: Digital Factories 2020: Shaping the future of manufacturing (48 pp., PDF, no opt-in) PriceWaterhouseCoopers Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 11
How The question of a-priori knowledge… Device Type Specific Device Type Agnostic Define a generic device model Define a generic system model which reflects common which reflects generic aspects of attributes like name, type, serial- tangible (device, component, ..) number, version, state, .. and intangible (unit, function, ..) elements For each device type add specific Take a holistic view on a services which reflect their multitude of device types and capabilities, e.g. “temperature distill abstract recurring control”, “speed control”, “pH- patterns, e.g. “continuous measurement”, .. control function” instead of “temperature control” Get lost in an ever growing Utilize a limited set of patterns matrix of services Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 12
How What should we build on? 1. Select a protocol stack which suits our domain of laboratory things and utilize its building blocks > MQTT is nice (for pub/sub) but covers only layers 1..5 Information Model > JSON restful is nice (for req/resp) but covers only layers 1..5/6 > OPC looks appropriate & covers layers 1..7 ✔ 2. Choose a modeling approach which is able to handle the intrinsic heterogeneity Derived from http://gargasz.info/OSI-model/OSI_2014.jpg of our domain > Device type specific > Device type agnostic The challenge of true interoperability sits on top of ISO/OSI layer 7 Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 13
How VisioNize – Unrivaled Diverse Portfolio Coverage VisioNize Communication Protocols Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 14
How VisioNize – Consistent UI-Design and Experience Consistent Cross Platforms Consistent Cross Product Lines Eppendorf AG | spectaris Intensivworkshop der AG "Vernetzte Laborgeräte" | Dr. Matthias Arnold| 2018-07-05/06 15
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