Paper
22 May 2023 Research on risk analysis method of industrial fieldbus based on data analysis
Lijun Lu, Weifeng Jin, Chuangxun Zhang, Huafeng Yu, Yilin Ren
Author Affiliations +
Proceedings Volume 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022); 1264008 (2023) https://doi.org/10.1117/12.2673767
Event: International Conference on Internet of Things and Machine Learning (IoTML 2022), 2022, Harbin, China
Abstract
As an industrial field bus, CAN bus has the characteristics of high real-time and high reliability. This chapter analyzes the risk situation by using CAN bus through the research on the actual situation of the industrial field. First of all, we understand and analyze the actual situation of industrial field and CAN bus; Secondly, the risk assessment model is designed and applied to the actual risk assessment process; Finally, the risk assessment model is used to analyze the countermeasures and specific suggestions that need to be improved at present.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lijun Lu, Weifeng Jin, Chuangxun Zhang, Huafeng Yu, and Yilin Ren "Research on risk analysis method of industrial fieldbus based on data analysis", Proc. SPIE 12640, International Conference on Internet of Things and Machine Learning (IoTML 2022), 1264008 (22 May 2023); https://doi.org/10.1117/12.2673767
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KEYWORDS
Matrices

Risk assessment

Analytical research

Data transmission

Data acquisition

Data communications

Data analysis

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