利用机器学习RFID混合模型的运维检修移动作业应用  

Application of operation and maintenance mobile assignment using machine learning RFID hybrid model

作　　者：赵水忠 王剑[2] 顾晔[2] ZHAO Shuizhong;WANG Jian;GU Ye(Shanghai Jiao Tong University,Shanghai 200240,China;State Grid Zhejiang Electric Power Company,Hangzhou 310000,China)

机构地区：[1]上海交通大学,上海200240 [2]国网浙江省电力公司,浙江杭州310000

出　　处：《现代电子技术》2020年第9期157-160,共4页Modern Electronics Technique

摘　　要：针对传统的运维检修方法无法准确定位出故障点的缺点,提出利用机器学习RFID混合模型的运维检修移动作业应用研究。首先,将射频识别技术与决策树算法结合,建立机器学习RFID混合模型;在模型的基础上,采用运维检修移动作业装置中的RFID读写器,通过射频识别技术识别出与运维检修点相对应的标签,完成运维检修点的数据采集;通过去重过滤算法,去除采集到的重复数据;通过监督学习,训练数据,对故障点与非故障点进行精确分类,再对其做运维检修处理,完成利用机器学习RFID混合模型的运维检修移动作业方法的设计。通过与传统的运维检修方法作对比实验,实验结果表明,提出的利用机器学习RFID混合模型的运维检修移动作业方法具有更高的定位精度。An application research of the operation and maintenance mobile assignment using the machine learning RFID hybrid model is proposed to overcome the shortcomings of the traditional operation and maintenance method that can not accurately locate the fault point. The RFID technology and the decision tree algorithm are combined to establish a machine learning RFID hybrid model. On the basis of the model,the tag corresponding to the operation and maintenance inspection point is identified with the RFID technology and the RFID reader in the mobile operation device to complete the data acquisition of the operation and maintenance inspection point. The deduplication filtering algorithm is used to remove the collected duplicate data. The supervised learning and the training data are used to accurately classify the fault point and the non-fault point,and then the operation and maintenance processing is adopted for the classification result to achieve the design of the operation and maintenance mobile assignment method using the machine learning RFID hybrid model. A contrast experiment of the method designed in this paper and the traditional operation and maintenance method was carried out. The experimental results show that the designed operation and maintenance mobile operation method using machine learning RFID hybrid model have higher positioning accuracy.

关 键 词：运维检修 机器学习 数据采集 RFID混合模型 重复数据去除 故障点定位 

分 类 号：TN99-34[电子电信—信号与信息处理] TP391[电子电信—信息与通信工程]