Developing Ontologies for the Collaboration of Cyber-Physical Systems: Requirements and Solution Approach

Törsleff, Sebastian; Hildebrandt, Constantin; Daun, Marian; Brings, Jennifer; Fay, Alexander

doi:10.1109/eitec.2018.00009

Cited by 9 publications

(10 citation statements)

References 13 publications

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“…Törsleff et al [14] proposed an approach for modeling the context of collaborative CPSs. The authors generated an ontology that systems use at runtime to communicate with each other and perform specific context-related reasoning.…”

Section: Related Workmentioning

confidence: 99%

“…In a collaborative environment, every CPS contributes its part to accomplish a particular task, e.g. multiple electrical vehicles in a virtual power plant collaborate to cope with power shortage in peak hours [14]. In contrast to the traditional systems, the variability in CPSs is difficult to model because they have to operate in a robust environment where variabilities are expected to occur frequently.…”

Section: A Collaborative Behaviour Of Multiple Cpssmentioning

confidence: 99%

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Analyzing Safety of Collaborative Cyber-Physical Systems Considering Variability

2020

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Cyber-Physical System (CPS) is co-engineered interacting networks of physical and computational components that operate on different spatial and temporal scales. The safety goal of a single CPS is usually achieved by applying hazard analysis techniques and by following the standard processes defined in ISO 26262 and IEC 61508. However, the safety property may not be satisfied when multiple CPSs collaborate due to complexity, uncertainty, and variability. Therefore, a technique that would provide a hazardous-free collaboration for multiple CPSs is required to preserve sustainability. In this paper, we analyze the hazards arising due to variabilities in collaborative CPSs. We extend the hazard analysis techniques (FTA, FMEA, and ETA) to explore hazards with variability and developed a fault traceability graph from our extended techniques to trace the faults considered by multiple hazard analyses in collaborative CPSs with variability. To justify our proposed approach, a case study on the human rescue robot system was conducted to analyze hazards emerging as a result of variabilities. Finally, a tool (CPS Tracer) was developed to model the FTA, ETA, and FMEA with variability (v_FTA, v_FMEA, and v_ETA), and generates the fault traceability graph (v_FTG) that represents fault propagation route.

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Section: Related Workmentioning

confidence: 99%

Section: A Collaborative Behaviour Of Multiple Cpssmentioning

confidence: 99%

Analyzing Safety of Collaborative Cyber-Physical Systems Considering Variability

2020

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“…However, their context is more complex, open (objects enter or leave at any time), and dynamic (states and configurations change frequently). Törsleff et al [125] proposed a solution to cope with open and dynamic context in CCPs while allowing these systems to perform context-related reasoning at runtime and communication among elements of a CCPS. The solution uses the software platform embedded system (SPES) XT modelling framework, which details how to model the contextual information in embedded systems.…”

Section: E Contextual Awareness For Security and Data Managementmentioning

confidence: 99%

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey

et al. 2019

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Autonomous vehicles are becoming a reality in places with advanced infrastructure to support their operations. In crowded places, harsh environments, missions that require these vehicles to be aware of the context in which they are operating, and situations requiring continuous coordination with humans such as in disaster relief, advanced-vehicle systems (AVSs) need to be better contextually aware. The vast literature referring to ''context-aware systems'' is still sparse, focusing on very limited forms of contextual awareness. It requires a structured approach to bring it together to truly realize contextual awareness in AVSs. This paper uses a human-AVSs (HAVSs) lens to polarize the literature in a coherent form suitable for designing distributed HAVSs. We group the relevant literature into two categories: contextual-awareness related to the vehicle infrastructure itself that enables AVSs to operate, and contextual-awareness related to HAVSs. The former category focuses on the communication backbone for AVSs including ad-hoc networks, services, wireless communication, radio systems, and the cyber security and privacy challenges that arise in these contexts. The latter category covers recommender systems, which are used to coordinate the actions that sit at the interface of the human and AVSs, human-machine interaction issues, and the activity recognition systems as the enabling technology for recommender systems to operate autonomously. The structured analysis of the literature has identified a number of open research questions and opportunities for further research in this area.

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“…Törsleff et al [31] proposed an approach to modeling a collaborative CPS and generating ontologies that can be used at runtime to communicate with each other and perform context-related decisions. The proposed approach facilitates consistent context specification across various CPSs and enables multiple CPSs to exchange context-related information at runtime.…”

Section: Ontology and Cyber-physical Systemsmentioning

confidence: 99%

“…In our proposed approach, we transformed the FMECA to a UML class diagram as shown in Figure 2 (FMECA class model in Figure 1). The model-based software development approach has already been used to help overcome various challenges regarding the development of CPS [31]. We used a model-based approach [41] to create a meta-model for FMECA.…”

Section: Proposed Approachmentioning

confidence: 99%

Failure Detection and Prevention for Cyber-Physical Systems Using Ontology-Based Knowledge Base

Ali

Hong

2018

Computers

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Cyber-physical systems have emerged as a new engineering paradigm, which combine the cyber and physical world with comprehensive computational and analytical tools to solve complex tasks. In cyber-physical systems, components are developed to detect failures, prevent failures, or mitigate the failures of a system. Sensors gather real-time data as an input to the system for further processing. Therefore, the whole cyber-physical system depends on sensors to accomplish their tasks and the failure of one sensor may lead to the failure of the whole system. To address this issue, we present an approach that utilizes the Failure Modes, Effects, and Criticality Analysis, which is a prominent hazard analysis technique to increase the understanding of risk and failure prevention. In our approach, we transform the Failure Modes, Effects, and Criticality Analysis model into a UML(Unified Modeling Language) class diagram, and then a knowledge base is constructed based on the derived UML class diagram. Finally, the UML class diagram is used to build an ontology. The proposed approach employs a 5C architecture for smart industries for its systematic application. Lastly, we use a smart home case study to validate our approach.

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Developing Ontologies for the Collaboration of Cyber-Physical Systems: Requirements and Solution Approach

Cited by 9 publications

References 13 publications

Analyzing Safety of Collaborative Cyber-Physical Systems Considering Variability

Analyzing Safety of Collaborative Cyber-Physical Systems Considering Variability

Contextual Awareness in Human-Advanced-Vehicle Systems: A Survey

Failure Detection and Prevention for Cyber-Physical Systems Using Ontology-Based Knowledge Base

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