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DEIS: Dependability Engineering Innovation for Cypber-Physical Systems

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Ran Wei

This project aims to improve cyber-physical systems dependability through the introduction of Digital Dependability Identities. The DEIS project will develop an open model for DDIs, a framework for generating and evaluating DDIs, and apply the approach to four industrial use cases. The project involves 10 partners, is funded by the European Union Horizon 2020 program, and runs from 2017 to 2020 with a total budget of 4,889,290.

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This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 732242. DEIS - DEPENDABILITY ENGINEERING INNOVATION FOR CPS Ran Wei1, Tim Kelly1, Richard Hawkins1, Eric Armenguad2 1University of York 2AVL List GmbH
DEIS : Dependability Engineering Innovation for CPS Funding scheme: H2020 ICT-01-2016 Total Budge: 4,889,290 Start Date: January 1st, 2017 Duration: 3 years Consortium: 10 partners Coordinator: AVL List H2020 ICT-01-2016 DEIS 2
Involves both computer and physical systems and are connected to Internet/local networks A mechanism controlled/monitored by computer-based algorithms, tightly integrated with the internet and its users. Tendency: Open and adaptive Loosely connected (openness) Systems come together to form new system with temporary configuration, and provide service as a whole (adaptivity) Number of configurations: unknown Challenge: assuring dependability of CPS How well they can function with one another How safe they are as a whole CYBER-PHYSICAL SYSTEMS 3
Addresses assurance of dependability for CPS Important and unsolved challenge Forming a science of dependable system integration for CPS Core concept: Digital Dependability Identity (DDI) Composable and executable Contains attributes that describe the systems or components dependability behavior: faults propagation, described using concepts from the theory of safety contracts Contains requirements on how the component interacts with other entities in a dependable way, described in terms of the level of trust and assurance. Produced during design, issued when the component is released, and continuously maintained over the complete lifetime of a component or system. DEIS 4
Automotive: development of a stand-alone system for intelligent physiological parameter monitoring Automotive: Evaluation of automated driving functions and the dependability impact of connected powertrain on advanced driver simulator Railway: Plug-and-play environment for heterogeneous railway systems enabling dependable exchange of information between components and subsystems Healthcare enhancement of clinical decision app for oncology professional targeting higher degree of dependability for ad-hoc systems DEIS: DEPLOYMENT TARGETS 5
Improve Cyber-Physical Systems (CPS) by the introduction of Digital Dependability Identity (DDI) a. Efficient synthesis over the supply chain b. Safe and secure composition of highly distributed and autonomous CPS Apply to four use industrial use cases from 3 different domains 6 DEIS THE USE CASES
Target: intelligent physiological parameter monitoring for automotive applications to monitor driver comfort and capability to safely control the vehicle for transition scenarios Challenge: secure transmission of driver health information 7 USE CASE 1: AUTOMOTIVE DOMAIN
Target: Evaluation of automated driving functions and the dependability impact of connected powertrain on advanced driver simulator Challenge: evaluation and integration of cyber-physical systems and systems of systems with a high degree of autonomy 8 USE CASE 2: AUTOMOTIVE DOMAIN
Target: Dependability framework with heterogeneous (cross-industry) participants Challenge: interoperability in the area of safety engineering across companies, railway operators as well as safety authorities 9 USE CASE 3: RAILWAY DOMAIN
Target: Clinical decision support app for oncology professionals Challenge: higher capability for ad-hoc integration in Electronic Health Records, taking into consideration security issues 10 USE CASE 4: HEALTHCARE DOMAIN
Universal exchange of dependability information Lack of common model for representing DDIs Expressive and machine executable Shield sensitive information to protect IP Efficient dependability assurance across industries and value chains Component providers should be able to generate DDIs based on the dependability information of the components Include information for dependability assurance Dependability considered from the early stage: MDE is applicable for its advantages in automation Dependable integration of systems in the field Dependability of CPS cannot be fully assured prior to deployment, thus need automated evaluation of DDIs DEIS: CHALLENGES FOR DDI 11
Objective 1: An open model for specifying Digital Dependability Identities enabling the efficient integration of modular dependability assurance cases Objective 2: Semi-automated framework for the generation and evaluation of DDIs Objective 3: A framework for the in-the-field dependability assurance in CPS Objective 4: autonomous and connected CPS use cases DEIS TECHNICAL APPROACH THE DDI 12
13 PROJECT STRUCTURE WP1 project management WP2 project requirements WP3 model concept WP4 dependability collaboration workspace WP6 Case studies and evaluations WP7 impact management clustering, dissemination and exploitation WP5 autonomous and connected CPS
Definition of a metamodel for DDI: Open Dependability Exchange (ODE) metamodel A semi-automated framework for the generation and evaluation of DDIs A framework for the in-the-field dependability assurance in CPS Autonomous and connected CPS use cases and evaluations DEIS: EXPECTED OUTCOMES 14
Requirement elicitation Requirements for the exchange of dependability-related information and the specification of modular DDIs Requirements for the tooling support needed to check the validity of the available dependability information and to model DDIs Requirements for applying the DEIS approach within the automotive, healthcare and the railway domain and evaluating the project results compared to the state-of-the-art and the state-of-practice DDI concept Engineering stories Progress from University of York Implementation of Structured Assurance Case Metamode (SACM) in EMF Implementation of Goal Structuring Notation (GSN) in EMF: metamodel, editor, framework Model to model transformation from GSN to SACM Tool support for SACM and GSN creations DEIS: CURRENT STATUS 15
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DEIS: Dependability Engineering Innovation for Cypber-Physical Systems

  • 1. This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 732242. DEIS - DEPENDABILITY ENGINEERING INNOVATION FOR CPS Ran Wei1, Tim Kelly1, Richard Hawkins1, Eric Armenguad2 1University of York 2AVL List GmbH
  • 2. DEIS : Dependability Engineering Innovation for CPS Funding scheme: H2020 ICT-01-2016 Total Budge: 4,889,290 Start Date: January 1st, 2017 Duration: 3 years Consortium: 10 partners Coordinator: AVL List H2020 ICT-01-2016 DEIS 2
  • 3. Involves both computer and physical systems and are connected to Internet/local networks A mechanism controlled/monitored by computer-based algorithms, tightly integrated with the internet and its users. Tendency: Open and adaptive Loosely connected (openness) Systems come together to form new system with temporary configuration, and provide service as a whole (adaptivity) Number of configurations: unknown Challenge: assuring dependability of CPS How well they can function with one another How safe they are as a whole CYBER-PHYSICAL SYSTEMS 3
  • 4. Addresses assurance of dependability for CPS Important and unsolved challenge Forming a science of dependable system integration for CPS Core concept: Digital Dependability Identity (DDI) Composable and executable Contains attributes that describe the systems or components dependability behavior: faults propagation, described using concepts from the theory of safety contracts Contains requirements on how the component interacts with other entities in a dependable way, described in terms of the level of trust and assurance. Produced during design, issued when the component is released, and continuously maintained over the complete lifetime of a component or system. DEIS 4
  • 5. Automotive: development of a stand-alone system for intelligent physiological parameter monitoring Automotive: Evaluation of automated driving functions and the dependability impact of connected powertrain on advanced driver simulator Railway: Plug-and-play environment for heterogeneous railway systems enabling dependable exchange of information between components and subsystems Healthcare enhancement of clinical decision app for oncology professional targeting higher degree of dependability for ad-hoc systems DEIS: DEPLOYMENT TARGETS 5
  • 6. Improve Cyber-Physical Systems (CPS) by the introduction of Digital Dependability Identity (DDI) a. Efficient synthesis over the supply chain b. Safe and secure composition of highly distributed and autonomous CPS Apply to four use industrial use cases from 3 different domains 6 DEIS THE USE CASES
  • 7. Target: intelligent physiological parameter monitoring for automotive applications to monitor driver comfort and capability to safely control the vehicle for transition scenarios Challenge: secure transmission of driver health information 7 USE CASE 1: AUTOMOTIVE DOMAIN
  • 8. Target: Evaluation of automated driving functions and the dependability impact of connected powertrain on advanced driver simulator Challenge: evaluation and integration of cyber-physical systems and systems of systems with a high degree of autonomy 8 USE CASE 2: AUTOMOTIVE DOMAIN
  • 9. Target: Dependability framework with heterogeneous (cross-industry) participants Challenge: interoperability in the area of safety engineering across companies, railway operators as well as safety authorities 9 USE CASE 3: RAILWAY DOMAIN
  • 10. Target: Clinical decision support app for oncology professionals Challenge: higher capability for ad-hoc integration in Electronic Health Records, taking into consideration security issues 10 USE CASE 4: HEALTHCARE DOMAIN
  • 11. Universal exchange of dependability information Lack of common model for representing DDIs Expressive and machine executable Shield sensitive information to protect IP Efficient dependability assurance across industries and value chains Component providers should be able to generate DDIs based on the dependability information of the components Include information for dependability assurance Dependability considered from the early stage: MDE is applicable for its advantages in automation Dependable integration of systems in the field Dependability of CPS cannot be fully assured prior to deployment, thus need automated evaluation of DDIs DEIS: CHALLENGES FOR DDI 11
  • 12. Objective 1: An open model for specifying Digital Dependability Identities enabling the efficient integration of modular dependability assurance cases Objective 2: Semi-automated framework for the generation and evaluation of DDIs Objective 3: A framework for the in-the-field dependability assurance in CPS Objective 4: autonomous and connected CPS use cases DEIS TECHNICAL APPROACH THE DDI 12
  • 13. 13 PROJECT STRUCTURE WP1 project management WP2 project requirements WP3 model concept WP4 dependability collaboration workspace WP6 Case studies and evaluations WP7 impact management clustering, dissemination and exploitation WP5 autonomous and connected CPS
  • 14. Definition of a metamodel for DDI: Open Dependability Exchange (ODE) metamodel A semi-automated framework for the generation and evaluation of DDIs A framework for the in-the-field dependability assurance in CPS Autonomous and connected CPS use cases and evaluations DEIS: EXPECTED OUTCOMES 14
  • 15. Requirement elicitation Requirements for the exchange of dependability-related information and the specification of modular DDIs Requirements for the tooling support needed to check the validity of the available dependability information and to model DDIs Requirements for applying the DEIS approach within the automotive, healthcare and the railway domain and evaluating the project results compared to the state-of-the-art and the state-of-practice DDI concept Engineering stories Progress from University of York Implementation of Structured Assurance Case Metamode (SACM) in EMF Implementation of Goal Structuring Notation (GSN) in EMF: metamodel, editor, framework Model to model transformation from GSN to SACM Tool support for SACM and GSN creations DEIS: CURRENT STATUS 15