Electric power tower environment state intelligent detection system and method

By constructing a multi-dimensional sensing module, an edge processing module, and a comprehensive evaluation module, and combining data processing technology, the problems of real-time performance and data coupling evaluation in power pole monitoring were solved, enabling accurate evaluation and timely response to the status of power poles.

CN121921929APending Publication Date: 2026-04-24SONGYUAN POWER SUPPLY COMPANY OF STATE GRID JILINSHENG ELECTRIC POWER SUPPLY +1
0 Cites 0 Cited by

Patent Information

Application Number
CN202511833596.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-08
Publication Date
2026-04-24

AI Technical Summary

Technical Problem

Existing power pole monitoring methods rely on manual inspections, which are inefficient and difficult to obtain data in real time. Furthermore, they lack the ability to couple environmental parameters with structural attitude assessments, resulting in high false alarm rates or missed reports of major hidden dangers, and are unable to provide accurate graded early warnings.

Method used

A multi-dimensional perception module, an edge processing module, a comprehensive evaluation module, and an early warning interaction module are constructed. By combining Kalman filtering, fast Fourier transform, and principal component analysis, real-time denoising and feature fusion of data are achieved, the comprehensive risk index is quantified, and the tower status is dynamically responded to.

Benefits of technology

It enables accurate assessment and timely handling of the safety status of power poles under complex weather conditions, reduces interference from false signals, improves the accuracy and completeness of monitoring data, and ensures timely operation and maintenance response.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a power tower environment state intelligent detection system and method, and relates to the technical field of power detection. The method comprises the following steps: acquiring the attitude, vibration and micrometeorological data of a tower in real time through a multi-dimensional sensing module; performing Kalman filtering and fast Fourier transform by using an edge processing module, and performing de-noising, interpolation completion and space-time alignment on the original data; extracting a structural feature vector representing the stability of the tower and an environmental load vector representing the external pressure, and carrying out feature fusion; constructing a comprehensive risk index model containing an environmental sensitivity coupling factor, and quantitatively evaluating the nonlinear influence of wind load and icing on the structure failure probability; and automatically triggering the unmanned aerial vehicle to inspect or send a power-off suggestion according to the risk index level. Through deep fusion of edge calculation and multi-source data, the problems that traditional monitoring data is large in noise and lacks environment coupling analysis are effectively solved, and accurate hierarchical dynamic early warning is achieved.
Need to check novelty before this filing date? Find Prior Art