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11 CPS Engineering Labs A Network of Design Centres Expediting and accelerating the realisation of trustworthy CPS Holger Pfeifer CPSE Labs co-ordinator fortiss, Munich, Germany Funded by the European Union

12 CPS Engineering Labs at a glance Network of 6 European CPS Design Centres 9 partners in 5 European countries EU contribution: 7.4 M 39 months project: February 2015 April 2018 Accelerate the realization of trustworthy CPS

13 CPS Engineering Labs Objectives Mission: Helping businesses innovate with digital technologies and develop CPS products and services Goals: Provide support for European companies to advance their product portfolio, and to move into new markets and new application domains Stimulate uptake of advanced ICT technologies amongst Europe s SMEs Connect businesses with top research centres Ensure research is grounded in industrial needs Businesses get support for prototyping Concept: Industrial Experiments Businesses evaluate CPS design technologies in application development projects All experiments partnered with their chosen Design Centre Design Centre provides Training in selected technologies and skills Technical support and collaborative development effort as needed Accelerate the realization of trustworthy CPS

14 Network of Design Centres Competencies and Application Domains Centre UK Focus topics and domains: Model-based engineering, co-modelling & co-simulation Urban CPS & Sustainability Centre France Centre Sweden Focus topics and domains: Integrated engineering environments, platforms for safetycritical systems Autonomous systems Centre Germany North Focus topics and domains: Safety assessments, dependable robotic software architectures Robotics, autonomous vehicles Focus topics and domains: E/E architectures, model-based safety, security analysis, V&V Maritime systems Centre Spain Focus topics and domains: IoT, Cloud Services Smart Cities Centre Germany South Focus topics and domains: Model-based engineering, V&V Adaptive production systems, automotive Accelerate the realization of trustworthy CPS

15 CPSE Labs Platforms Model-based safety engineering for autonomous dependable vehicles AIDE support tools for data integration of CPS tool-chains RCV Research Concept Vehicle Integrated reference platform for maritime innovation Semantic interoperability platform for the Internet of Things Software framework and hardware platform for distributed industrial control applications Multidisciplinary modelling and co-simulation tools for CPS design Accelerate the realization of trustworthy CPS

16 Technology Axes Model-based systems engineering Software technologies for CPS collecting and merging large sets of input data AIDE Simulation & architecture specification Formal modelling & analysis RCV AIDE Accelerate the realization of trustworthy CPS

17 CPSE Labs provided funding & support for SMEs Open competitive calls for fast-track, focussed industrial experiments with specific innovation objectives, based on CPSE Labs technologies and platforms. Process: Call Design Centres offer topics based on their supported platforms Submission Evaluation Execution Businesses design an industrial experiment they want to carry out Proposals are evaluated by independent, external CPS experts Selected experiments are executed by businesses in cooperation with a Design Centre Selected experiment parties can receive funding up to 150,000 Accelerate the realization of trustworthy CPS

18 Open Calls for Experiments Call Submission Evaluation Execution 3 rounds of open calls have been completed 102 proposals from 21 European countries 178 organisations, 119 industrial (102 SMEs) 23 experiments selected for funding 45 third parties, 23 SMEs, 16 countries First batch started in Q4 / nd, 3 rd batches started in Q2, Q4 / 2016 Budget range 50k 200k per experiment Accelerate the realization of trustworthy CPS

19 Role of Experiments for CPSE Labs Experiments support our platform technologies New applications in new domains, completion of value chains Building and growing of an eco-system around the technologies Experiences provide feedback to enhance the technologies Experiment outcomes leading to validated business opportunities improved products and services incubation of business ideas in the partner network contributions to standardization Experiment outcomes contribute to learning network demonstrators best practices Experiments may contribute assets to the CPSE Labs market place Accelerate the realization of trustworthy CPS

20 Experiments: From Platforms... to Innovations Integrated reference platform for maritime innovation Maritime cloud portal Shore-Based Voyage Planning using the maritime architecture framework Shore-Based Bridge, an e-nav station for remote planning, monitoring & pilotage AIDE support tools for data integration of CPS tool-chains RCV Research Concept Vehicle Efficient CPS tool chain integration using OSLC Platform for mixed-criticality systems Open platform for autonomous vehicle systems Semantic interoperability platform for the Internet of Things Improving Water Efficiency and Safety in Living Areas Drones, ecall & CPSs for Public Safety Answering Points Real-time urban data for digital urban services Accelerate the realization of trustworthy CPS

21 Experiments (ctd.): From Platforms... to Innovations Software framework and hardware platform for distributed industrial control applications Multidisciplinary modelling and co-simulation tools for CPS design Model-based safety engineering for autonomous dependable vehicles Advancing legacy machine tools to digital manufacturing Optimised energy and load management in process technology Real-time big data-driven proactive manufacturing Multidisciplinary design of CPSs for smart energy control Decentralised road traffic management Product-production co-simulation for manufacturing Safety enhancement for autonomous robotic airfield management Risk Analysis and Simulation Testing for Agricultural Robots Formally verified navigation of an autonomous shuttle Accelerate the realization of trustworthy CPS

22 RAST: Risk Analysis and Simulation Testing for Agricultural Robots Autonomous weeding: Easier farming No chemical product Requires less energy than a tractor Avoids compacting the soil (lighter than a tractor) Oz weeding robot (small crops) Dino prototype (large-scale crops) Objectives Challenge: from innocuitous to potentially risky robots To analyze the new risks induced by faster and heavier robots (HAZOP-UML, Altarica) To establish simulation-based testing as an essential part of naïo s validation process (taking close inspiration from MORSE-based testing) Accelerate the realization of trustworthy CPS

23 SafeNav: Formally verified navigation of an autonomous shuttle Steery.io/EasyMile: SME in charge of developing the software for EZ10 (is being re-engineered) + UJF: Academic partner developing formal methods (BIP) EZ10: a driverless shuttle to cover short distances on predefined routes Objectives Faced issues: evolution of architecture, safety assurance To develop the new navigation software with GenoM componentbased framework for better management of architecture evolution To use the GenoM/BIP connection to prove or enforce safety properties and real-time constraints formal methods for safety assurance Accelerate the realization of trustworthy CPS

24 EU Smart Anything Everywhere initiative Brochure produced by the European Commission about the Smart Anything Everywhere initiative includes more examples, also from other projects Available here! Accelerate the realization of trustworthy CPS

25 Follow CPSE Labs Contact: Holger Pfeifer CPSE Labs coordinator fortiss, Munich, Germany Funded by the European Union

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