电力物资智能成套推荐方法的应用

Application of intelligent recommendation method for electric power materials

电力系统中供应链物资管理是保障电力系統稳定运行的基本条件。在电力故障抢修、新建配电网工程、新建线路工程、线路巡检、用户报装、工程改建扩建等方面,电力物资出库管理起到至关重要的作用。但在“无人值守仓库”“自助领料”等环节,依然存在物资漏出、错出、多出等情况,进而造成物资出库时间长、出库效率低的现象。文章主要研究一种电力物资智能成套推荐方法的应用,为电力物貴智能成套推荐提供解决思路,利用计算机充分获取及存储物资的历史出库数据、历史出库关联数据,并使用可靠的数据挖掘关联分析算法代替传统手工分析,提高计算的精准度,提升电力物资智能成套推荐结果的准确性与可用性。

Supply chain material management in power system is the basic condition to ensure the stable operation of power.The ex warehouse management of electric power materials plays a vital role in power failure emergency repair,new distribution network project,new line project,line patrol inspection,user installation application,proiject reconstruction and expansion,etc.However,in the"unattended warehouse""self service picking"and other links,there are still cases of leakage,wrong delivery and excessive delivery of materials in the material delivery management,resulting in long delivery time and low delivery eficiency.This paper mainly provides an application of intelligent recommendation method for complete sets of electric power materials,which provides a solution for intelligent recommendation of complete sets of electrie power materials.It uses computers to fully obtain and store the historical outbound data and historical outbound associated data of materials,and uses reliable data mining association analysis algorithms to replace traditional manual analysis,improve the accuracy of calculation,and improve the accuracy and availability of intelligent recommendation results for complete sets of electric power materials.