基于智能盘点的电力企业固定资产分类查询  

Classification inquiry of fixed assets in electric enterprises based on intelligent inventory

作　　者：李欣怡 庞思睿 薛璐璐 冯天国 LI Xin-yi;PANG Si-rui;XUE Lu-lu;FENG Tian-guo(State Grid Jibei Information&Telecommunication Company,Beijing 100053,China;Beijing Bowang Technology Co.,Ltd.,Beijing 100045,China)

机构地区：[1]国网冀北信通公司,北京100053 [2]北京博望华科科技有限公司,北京100045

出　　处：《信息技术》2023年第5期180-184,共5页Information Technology

摘　　要：传统固定资产分类查询技术在应用过程中,易出现通信冗余问题,导致分类查询计算开销较大。因此,设计基于智能盘点平台的电力企业固定资产分类查询方法。优化RFID标签数据存储格式,规范RFID标签数据,建立无线接收器和数据通信网络结构,优化查询通信方式,减少冗余。结合SVM分类和K近邻算法,对不同的资产分类情况选择不同算法,计算K近邻算法中的欧氏距离,实现固定资产分类查询。实验结果表明:分类维度偏大时,所设计的分类查询技术在智能盘点平台和用户端的计算开销均小于传统方法。In the application process of traditional fixed assets classification query technology,communication redundancy is easy to occur,which leads to high computational cost of classification query.Therefore,a new fixed assets classification query method based on intelligent inventory platform is proposed.The RFID tag data storage format is optimized,and the RFID tag data is standardized.The wireless receiver and data communication network structure is designed to optimize query communication mode and reduce redundancy.Then,combined with SVM classification and K-nearest neighbor algorithm,different algorithms are selected for different asset classification situations,and Euclidean distance in K-nearest neighbor algorithm is calculated to realize fixed asset classification query.The experiment results show that when the classification dimension is too large,the computing cost of the designed classification query technology in the intelligent inventory platform and the client is less than that of the traditional method.

关 键 词：智能盘点平台 固定资产查询 分类查询 

分 类 号：TM93[电气工程—电力电子与电力传动] TP391[自动化与计算机技术—计算机应用技术]