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变电站巡检定位跟踪的智能化应用研究 被引量:4

Research on Intelligent Application of Substation Patrol Location Tracking
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摘要 进入21世纪以来,电力技术不断发展,已广泛应用到社会的各行各业中。人们的用电需求持续增长,因此保障电力的稳定供应极其重要。为了保障电力的安全供应,使得所有相关的电力设备能够正常地进行工作,确保整个电力系统的安全运行,需要在智能变电站中对定位跟踪技术进行优化。对卡尔曼滤波跟踪算法进行了深入的探究,并对其进行了相应的技术扩展与试验分析,其中包括基于卡尔曼滤波的定位跟踪算法。分析结果显示,基于卡尔曼滤波跟踪算法的智能变电站定位跟踪技术具有较强的准确性和町行性,巡检机器人能够快速、精准地确定自身在智能变电站中的位置、工作状态以及对目标任务的完成情况;除此以外,巡检机器人还能对导航定位信息进行处理,识别出自身与路径之间的距离和角度等关系。利用卡尔曼滤波跟踪算法可以完成巡检任务,保证电力的稳定供应。 In the 21st century,power technology has been developing continuously and widely used in all walks of life in the society.People's demand for electricity is continuously growing,so it is extremely important to ensure the stable supply of electricity.In order to ensure the safe supply of power,normal operation of all relevant power equipment and the safe operation of the whole power system,it is necessary to optimize the positioning and tracking technology in the intelligent substation.The Kalman filter track i ng algorithm is deeply explored,and the corresponding technical expansi on and experimental analysis are carried out,including the positioning and tracking algorithm based on Kalman filter.The results show that the positioning and tracking technology of intelligent substation based on Kalman filter tracking algorithm is very accuracy and feasible,and the inspection robot can quickly and accurately determine its position in the intelligent substation,working state and the completion of the target task.In addition,the inspection robot can process the navigation positioning information,and the relationship of distance and angle between itself and path indicates can be identified.Kalman filter tracking algorithm can be used to complete patrol inspection task and ensure stable power supply.
作者 杨娜 陈再胜 王颜霞 YANG Na;CHEN Zaisheng;WANG Yanxia(School of Information and Electronic Engineering,Shangqiu Institute of Technology,Shangqiu 476000,China;School of Mechanical Engineering,Xijing University,Xi'an 710199,China)
出处 《自动化仪表》 CAS 2021年第10期83-87,93,共6页 Process Automation Instrumentation
基金 河南省高等学校重点科研基金资助项目(19B520020)。
关键词 卡尔曼滤波 跟踪算法 智能 变电站 定位 巡检 机器人 Kalman filter Tracking algorithm Intelligence Substation Positioning Inspection Robot
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