基于人工智能的电力物资抽检策略决策支持系统研究

Research on Decision Support System of Electric Power Material Sampling Inspection Strategy Based on Artificial Intelligence

摘要: 差异化抽检策略是提升电力物资质量管理的有效手段。针对目前通过人工制定抽检策略对供应商没有针对性，抽检策略制定费时费力，抽检措施不够细化、智能化的现状，本文提出一种基于人工智能的电力物资抽检策略决策支持系统，构建由知识图谱库与规则库组成的知识库。按照知识图谱构建方法，建立供应商评价知识图谱。根据抽检项目，建立供应商抽检策略规则库。通过推理引擎算法，实现对知识图谱库和抽检策略规则库智能匹配。实现抽检策略的智能化输出，为实现差异化抽检策略管理，实现供应商抽检策略千人千面打下基础。

Abstract: The difference sampling strategy is an effective way to improve the quality management of power materials. At present, there is no pertinence to suppliers through manual sampling strategy for-mulation, which takes time and effort, and the sampling measures are not detailed and intelligent enough. In this paper, an artificial intelligence based decision support system for power material sampling inspection strategy is proposed, which is composed of a knowledge graph database and a rule database. According to the construction method of knowledge graph, the knowledge graph of supplier evaluation is established. According to the random inspection items, the supplier random inspection strategy rule base is established. Through the algorithm of inference engine, the intel-ligent matching of knowledge graph base and sampling strategy rule base is realized. The intelli-gent output of sampling strategy is realized, which lays the foundation for the management of dif-ferentiated sampling strategy and the realization of supplier sampling strategy.