A Study on the Fire Risk Assessment of the Power Monitoring Room in Substations Based on the Cloud Model

Substations are critical components of the power system, as their safety directly affects the stable operation of the power grid and the normal functioning of society. Therefore, accurately assessing the fire risk level in power monitoring rooms is essential for enhancing fire safety and ensuring the safe and stable operation of the power system. This paper proposes a comprehensive, systematic, and reasonable fire risk assessment index system. Subsequently, a cloud model-based fire risk assessment model for power monitoring rooms is developed. By comparing the generated cloud map with the standard reference cloud, the fire risk level of the power monitoring room can be determined, providing a robust foundation for effective fire risk prevention and control.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155653
Primary Topic
Advanced Decision-Making Techniques
Type
article
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A Study on the Fire Risk Assessment of the Power Monitoring Room in Substations Based on the Cloud Model

Zimeng Zhang, Hao Chen, Zhang Li, Hong Jia et al.
Advanced Decision-Making Techniques
article

A Study on the Fire Risk Assessment of the Power Monitoring Room in Substations Based on the Cloud Model

Zimeng Zhang, Hao Chen, Zhang Li, Hong Jia, Xianwei Li, Yiming Jiang, Yinhua Liu
article en

Abstract

Substations are critical components of the power system, as their safety directly affects the stable operation of the power grid and the normal functioning of society. Therefore, accurately assessing the fire risk level in power monitoring rooms is essential for enhancing fire safety and ensuring the safe and stable operation of the power system. This paper proposes a comprehensive, systematic, and reasonable fire risk assessment index system. Subsequently, a cloud model-based fire risk assessment model for power monitoring rooms is developed. By comparing the generated cloud map with the standard reference cloud, the fire risk level of the power monitoring room can be determined, providing a robust foundation for effective fire risk prevention and control.

Dongfang Electric Corporation (China) (CN)
Openalex Percentile: Top 64%
Advanced Decision-Making Techniques
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A Study on the Fire Risk Assessment of the Power Monitoring Room in Substations Based on the Cloud Model — Zimeng Zhang, Hao Chen, et al. · (2025) | TGRS Research Map | TGRS