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基于智能预警技术的输电线路在线巡视方法

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针对常规技术对输电线路在线巡视效率低下、误差率高的问题,提出了基于智能预警技术的输电线路在线巡视方法,设计一套基于5G通信和无线数据通信技术的输电线路在线智能预警系统,通过ARM+DSP双核处理器实现输电线路故障识别.采用无人机技术实现高空输电线路巡检,通过改进型蚁群算法模型实现输电线路故障检测,并设计了故障检测定位技术,利用融入行波定位技术的蚁群算法模型提高了输电线路在线巡视能力.实验表明,方法定位精确、误检率低,具有一定的实际应用价值.
Online inspection method of transmission line based on intelligent early warning technology
Based on the problems of low efficiency and high error rate of online inspection of transmission lines in conventional technology,an online inspection method of transmission lines based on intelligent early warning technology is proposed,and a set of online intelligent early warning of transmission lines based on 5G communication and wireless data communication technology is designed.The ARM+DSP dual-core pro-cessor realizes fault identification of transmission line.UAV technology is used to realize inspection of high-altitude transmission lines.The fault detection of transmission lines is realized through the improved ant col-ony algorithm model,and the fault detection and positioning technology is designed.The online inspection capability of transmission lines has been improved by using the ant colony algorithm model integrating trave-ling wave positioning technology.Experiments show that the research method has accurate positioning and low false detection rate,and has certain practical application value.

transmission lineonline inspectionintelligent early warningant colony algorithm modeltraveling wave positioning

于长任、杨新宇、陈东、季宁、刘明辉

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国网冀北电力有限公司承德供电公司,河北承德 067070

输电线路 在线巡视 智能预警 蚁群算法模型 行波定位

2024

信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
年,卷(期):2024.(1)
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