基于数据挖掘的智能报修决策支持系统研究与应用

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中图分类号：TP311.5 文献标志码：A 文章编号：2095-2945（2025）13-0033-05

Abstract：With theincreasing complexityanddiversityof companyequipment，thetraditionalrepair mode hasexposed many limitationsindealingwithfaulthandlinganddecisionsupport.Inordertoimprovetheinteligentlevelofrepairmanagement， thispaperproposesanintellgentrepairdecisionsupportsystembasedondatamining.Thesystemuses Internettechnologyand dataprocessingtocollctandanalyzealargenumberofhistoricalrepairdataandreal-timeequipmentoperationdataanduses dataminigtechnologiessuchasclassfication，clusteringandassociationrulestoautomatefaultprediction，taskschedulingand optimal allocation of maintenance resources.

Keywords：data mining;automation;artificial intelligence;intelligent repair decisionsupport system;repair data

随着信息技术的飞速发展，数据已成为组织优化决策、提升效率的重要资源。（剩余5499字）