摘要
智能AI设备的大量应用,使得全链路数据的属性项增加,进一步占据存储空间。原有处理方法无法满足全链路数据存储要求,对此提出一种关联规制挖掘算法,以实现对全链路数据的存储优化。MATLAB仿真结果显示关联规制挖掘算法可以增加数据存储量,且处理准确性大于95%,处理时间小于70 s,因此关联规制挖掘算法可以满足智能配电网的存储需求。
The extensive application of intelligent AI devices has increased the attribute items of full link data,further occupying the storage space.The original processing method cannot meet the requirements of full link data storage,so a mining algorithm of association rules is proposed to optimize the storage of full link data.MATLAB simulation results show that association rule mining algorithm can increase data storage,and the processing accuracy is greater than 95%,and the processing time is less than 70 s.Therefore,association rule mining algorithm can meet the storage requirements of intelligent distribution network.
作者
赵融
ZHAO Rong(China Railway Shanghai Bureau Group Corporation,Shanghai 200071,China)
出处
《电工技术》
2022年第24期257-259,共3页
Electric Engineering
关键词
配电网
全链路数据存储
关联规制挖掘
distribution network
full-link data storage
association regulation
