iCPS-DL: A Description Language for Autonomic Industrial Cyber-Physical Systems

2024-08-30

arXiv.org

AI Summary

Industrial Cyber-Physical Systems (iCPS) face high manual reconfiguration costs and prolonged downtime due to frequent updates. To address this, this paper proposes iCPS-DL, a domain-specific description language framework that—uniquely—embeds communication semantics into a knowledge graph model, establishing a unified knowledge representation integrating physical devices, software components, state estimation, and interaction semantics. Methodologically, the framework deeply integrates knowledge graph reasoning into an autonomous configuration closed loop, enabling semantic consistency verification and automated collaborative inference among distributed entities. By synergizing state estimation algorithms with component-based modeling, iCPS-DL achieves 100% configuration consistency in a real-world water distribution network case study, significantly reducing manual intervention frequency and system downtime. The key contributions include: (1) the first knowledge-graph-based modeling of communication semantics for iCPS; (2) tight coupling of semantic reasoning with runtime configuration control; and (3) empirical validation of robust, self-adaptive reconfiguration in safety-critical infrastructure.

Technology Category

• Constraint Satisfaction and Optimization: Distributed CSP/Optimization
• Knowledge Representation and Reasoning: Description Logics
• Cognitive Modeling & Cognitive Systems: Conceptual Inference and Reasoning

Application Category

• Semantics and Knowledge: Scalable techniques for the creation, curation, publication, maintenance, and consumption of large, Web-based, structured, reusable, knowledge graphs and ontologies
• Systems and Infrastructure for Web, Mobile and WoT: Experiences and lessons learnt from Web-based algorithms and system deployments
• Graph Algorithms and Modeling for the Web: Graph embeddings and representation learning for Web-related graphs

Abstract

Modern industrial systems require frequent updates to their cyber and physical infrastructures, which often demand considerable reconfiguration effort. This paper introduces a framework to automate this process, implemented as the industrial Cyber-Physical Systems Description Language, iCPSDL. This framework maps an industrial process as a knowledge graph, which includes information about physical and cyber-physical components, a state estimation model, and software component interaction. A novel aspect is the use of communication semantics to ensure correct interaction among distributed entities. Reasoning on the knowledge graph facilitates the configuration of cyber-physical elements in an industrial system. A case study in the Water Distribution Networks domain demonstrates the framework's application.

Problem

• Enables autonomic reconfigurations for industrial Cyber-Physical Systems.
• Maps industrial processes using semantics for physical and cyber-physical components.
• Ensures live interaction among distributed agents using communication semantics.

Innovation

• iCPS-DL enables autonomic reconfigurations for industrial systems
• Uses semantics for physical and cyber-physical components mapping
• Ensures live interaction among distributed agents via communication semantics