Method and corresponding product for monitoring electrical fires in high-voltage equipment based on the internet of things
By employing a multi-sensor array and edge-cloud collaborative intelligent monitoring method, early warning and accurate prediction of electrical fires in high-voltage equipment have been achieved, solving the problems of delayed warning and high false alarm rate in existing technologies and improving the safety protection level of high-voltage equipment.
Patent Information
- Application Number
- CN202610291613.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-11
- Publication Date
- 2026-07-17
AI Technical Summary
Existing electrical fire monitoring technologies for high-voltage equipment suffer from problems such as high early warning lag, high false alarm rate, lack of systematic risk prediction capabilities, and insufficient intelligence and collaboration, making it impossible to achieve accurate and coordinated proactive safety protection.
By deploying a multi-sensor array to synchronously collect various real-time status parameters, using edge computing nodes for adaptive weighted fusion and lightweight neural network real-time inference, and combining cloud-based deep learning models for dynamic simulation and prediction, graded fire early warning commands are generated and linkage control is triggered.
It has achieved accurate identification of early electrical fault modes and probabilistic assessment of fire risks, reduced false alarm rate, improved the scientific nature and execution efficiency of early warning, and formed a closed-loop intelligent monitoring system.
Smart Images
Figure CN122416610A_ABST