Abstract

Aiming at the shortcomings of traditional electrical fire monitoring system, an intelligent management system for electrical distribution safety, named Electrical Safety Intelligent Management System, is designed based on big data, cloud computing, mobile internet technology and low power internet of things. A new concept that the electric load parameters of the distribution system collected by the front-end detectors are fed into the trained BP neural network model to evaluate the risk coefficients of the distribution system and user's electrical safety level is proposed. The application of artificial intelligence in Electrical Safety Intelligent Management System will effectively detect the electrical safety problems, and provide a basis for scientific guidance of safe power consumption.

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