Designing Context-Based Services for Resilient Cyber Physical Production Systems
| Autor: | Devis Bianchini, Ada Bagozi, Valeria De Antonellis |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies 0209 industrial biotechnology Context model Service (systems architecture) computer.internet_protocol Computer science Process (engineering) Context-aware resilience 0211 other engineering and technologies Cyber-physical system 02 engineering and technology Service-oriented architecture Human-In-the-Loop 020901 industrial engineering & automation Risk analysis (engineering) Resilient cyber physical production system Recovery procedure Resilience (network) computer Vulnerability (computing) |
| Zdroj: | Web Information Systems Engineering – WISE 2020 ISBN: 9783030620042 WISE (1) |
| DOI: | 10.1007/978-3-030-62005-9_34 |
| Popis: | Dynamicity and complexity of Cyber Physical Production Systems (CPPS) increase their vulnerability and challenge their ability to react to faults. Ensuring resilience of CPPS is even more difficult when on-field workers operating on the machines are engaged in the production line, according to the Human-in-the-Loop paradigm. In this scenario, we present a service-oriented approach to model resilient CPPS. Specifically, we design runtime recovery actions as a set of services. Services are context-based, i.e., they are associated with the steps of the production process as well as with the CPPS involved in the recovery actions. In the context model, different factors that could influence CPPS resilience, namely the functional degradation of one or more parts of the CPPS and changes in the environment in which the production process is executed, are monitored through proper parameters. The approach provides runtime selection of services among the ones associated with the process steps and CPPS involved in the recovery procedure. The values of monitored parameters are used as service inputs, while service outputs are displayed to the operators supervising the CPPS on which recovery actions must be performed, enabling fast and effective resilience also in a Human-In-the-Loop scenario. The approach is validated in a food industry case study. |
| Databáze: | OpenAIRE |
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