基于数据挖掘的输变电野外勘测数据识别及存储方法  

Data Recognition and Storage Method of Power Transmission and Transformation Field Survey Based on Data Mining

作　　者：苏永亮 周洪伟 崔厚坤 安增军 韩念遐 SU Yong-liang;ZHOU Hong-wei;CUI Hou-kun;AN Zeng-jun;HAN Nian-xia(State Grid Jiangsu Electric Power Design Consulting Co.,Ltd.,Nanjing 210000 China;State Grid Jiangsu Electric Power Co.,Ltd.,Economic Research Institute,Nanjing 210000 China;Beijing Daoheng Software Co.,Ltd.,Beijing 100012 China)

机构地区：[1]国网江苏电力设计咨询有限公司,江苏南京210000 [2]国网江苏省电力有限公司经济技术研究院,江苏南京210000 [3]北京道亨软件股份有限公司,北京100012

出　　处：《自动化技术与应用》2024年第11期120-123,204,共5页Techniques of Automation and Applications

基　　金：国网江苏电力设计咨询有限公司科技项目(JE202204)。

摘　　要：可靠存储野外勘测数据是保证输变电合理规划、安全运行的基础,为此提出基于数据挖掘的输变电野外勘测数据识别及存储方法。通过移动端采集野外数据,将勘测相关数据传送至服务器端,并在云端引入边缘计算,形成云边协同模型,通过该模型识别以及压缩输变电野外勘测数据,通过动态局部敏感哈希算法和加权k近邻算法选择缓存数据,实现野外勘测数据复用。测试结果显示:输变电野外勘测数据传输时延结果稳,时延时间短,存储后野外勘测数据可用性高,可以为输变电规划提供可靠数据依据。Reliable storage of field survey data is the basis for ensuring reasonable planning and safe operation of power transmission and transformation.Therefore,this paper proposes a data mining-based identification and storage method for power transmission and transformation field survey data.The mobile terminal collects field data,transmits survey related data to the server,and introduces edge computing into the cloud to form a cloud edge collaboration model.Through this model,the power transmission field survey data is identified and compressed,and the cache data is selected through the dynamic local sensitive hash algorithm and the weighted k-nearest neighbor algorithm to achieve field survey data reuse.The test results show that the data transmission delay result of power transmission and transformation field survey is stable.

关 键 词：移动计算技术 输变电 野外勘测 数据识别 云边协同模型 数据复用 

分 类 号：TP391.43[自动化与计算机技术—计算机应用技术]