Advanced Technology for Cyber-Physical System Monitoring

Advanced Technology for Cyber-Physical System Monitoring

Man Tianxing (ITMO University, Russia), Vasiliy Yurievich Osipov (Saint Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS), Russia), Ildar Raisovich Baimuratov (ITMO University, Russia), Natalia Alexandrovna Zhukova (Saint Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS), Russia), Alexander Ivanovich Vodyaho (Saint Petersburg Electrotechnical University (LETI), Russia) and Sergey Vyacheslavovich Lebedev (Saint Petersburg Electrotechnical University (LETI), Russia)
DOI: 10.4018/978-1-7998-1974-5.ch001
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Abstract

In the chapter, the problem of cyber-physical systems monitoring based on the processing and evaluation of the data received from the observed objects is considered. The main attention is paid to finding a suitable way to reduce the synthesis complexity of the observed objects models and monitoring processes. The authors propose a multilevel automatic synthesis technology that formalizes such models to multilevel relatively finite automata. The architecture of cyber-physical monitoring systems using this technology is presented.
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Background

Cyber-physical systems operate alongside, for the benefit of, and supported by humans. The approaches to modeling and reasoning about human involvement in socio-cyber-physical systems (SCPS) have become a popular topic (Calinescu, R. C., et al. 2019). Zavyalova, Y. V., et al. (2017) combined this concept with the cyber-medicine system to discuss the development of smart spaces-based socio-cyber-medicine systems. Smirnov, A., et al. (2017, June) addressed context-aware decision support in agent-based environments for smart space-based systems and human-computer cloud services. This method deal well with the highly decentralized up-to-date data sets arriving from various resources located in socio-cyber physical systems.

Most of the existing monitoring systems use intelligent components that are aimed to solve analytical tasks and visualize data (Albahri, O. S. 2018). By now a considerable number of such components have been developed, including Zabbix Monitoring (Dalle Vacche, A. 2015), Pentaho Reports (Gorman, W. 2009), Google Analytics (Plaza, B. 2009) and so on (Nasle, A. 2017; Luo, H. 2015).

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