A Study on Risk Situational Awareness of Power IoT Distribution Scenarios under Cloud-edge Collaboration

Because there are many factors associated with the risk of power IoT distribution scenarios, the error of perception results is often high and the efficiency is low. Therefore, the research on risk situation awareness of power IoT distribution scenarios under cloud edge collaboration is proposed. Starting from multiple dimensions, the risk factor indicator system of the distribution scenario of the power Internet of Things under cloud edge collaboration with three level indicators is constructed; After the analytic hierarchy process is used to determine the specific weight of each indicator, the correlation degree between the situation awareness value of GRA (GP+BP) and the real value of distribution network risk potential is determined, the weight of the output results of each analysis model is determined, and data fusion is carried out to obtain the final result. In the test results, the output value corresponding to the design method has the highest fitting degree with the actual situation, and is also significantly better than the control group in terms of efficiency.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/icips64173.2024.10900147
Primary Topic
Technology and Security Systems
Type
article
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A Study on Risk Situational Awareness of Power IoT Distribution Scenarios under Cloud-edge Collaboration

Xianzhi Yang, Zhengrong Wu, Hua Li, Furong Yin et al.
Technology and Security Systems
article

A Study on Risk Situational Awareness of Power IoT Distribution Scenarios under Cloud-edge Collaboration

Xianzhi Yang, Zhengrong Wu, Hua Li, Furong Yin, Yang Chen
article en

Abstract

Because there are many factors associated with the risk of power IoT distribution scenarios, the error of perception results is often high and the efficiency is low. Therefore, the research on risk situation awareness of power IoT distribution scenarios under cloud edge collaboration is proposed. Starting from multiple dimensions, the risk factor indicator system of the distribution scenario of the power Internet of Things under cloud edge collaboration with three level indicators is constructed; After the analytic hierarchy process is used to determine the specific weight of each indicator, the correlation degree between the situation awareness value of GRA (GP+BP) and the real value of distribution network risk potential is determined, the weight of the output results of each analysis model is determined, and data fusion is carried out to obtain the final result. In the test results, the output value corresponding to the design method has the highest fitting degree with the actual situation, and is also significantly better than the control group in terms of efficiency.

China Southern Power Grid (China) (CN)
Openalex Percentile: Top 56%
Technology and Security Systems
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