兵工自动化2025，Vol.44Issue(6)：33-36,4.DOI:10.7690/bgzdh.2025.06.008
基于边缘计算的输电铁塔健康状态监测
Transmission Tower Health Monitoring Based on Edge Computation
刘海峰 1闫敏1
作者信息
- 1. 国网河北省电力有限公司超高压分公司,石家庄 050000
- 折叠
摘要
Abstract
In order to solve the problem of transmission system monitoring in extreme weather,an intelligent monitoring system for transmission tower based on edge detection is proposed.Based on MobileNetV3 and multi-scale SSD,a fusion-level basic network model structure is designed,and an end-to-end ice thickness recognition model is established.The basic network is compressed based on discrimination-driven channel pruning,and the network can be deployed in monitoring terminals with limited computing resources.Taking the monitoring data provided by a power company as an example,the proposed model is verified.The results show that the mAP of the proposed model on the server side is 81.19%,and in the edge computation terminal,the discriminative perception based channel pruning method has a good effect on model compression,compared with the basic network,the mAP is reduced by about 3.67%,and the network scale is about 11 M.关键词
电力系统/电力传输/深度学习/边缘计算/通道剪枝Key words
power system/power transmission/deep learning/edge calculation/channel pruning分类
信息技术与安全科学引用本文复制引用
刘海峰,闫敏..基于边缘计算的输电铁塔健康状态监测[J].兵工自动化,2025,44(6):33-36,4.
