Research on Fire Risk Assessment of Substation Based on Cloud Computing Model

This study evaluates fire safety in substations to enhance power production reliability. It analyzed 21 substations, identifying equipment overload, failures, and short circuits as major fire causes. A comprehensive five-dimensional index system was created with 17 second-level and 45 third-level indicators. The index weights were calculated using order relationship and entropy weight methods, and a cloud model was employed for risk evaluation. A case substation was assessed, revealing a medium fire risk level. The study demonstrates the system's capability to assess fire risks and inform fire prevention strategies.