科技创新与应用2025，Vol.15Issue(13)：33-37,5.DOI:10.19981/j.CN23-1581/G3.2025.13.008
基于数据挖掘的智能报修决策支持系统研究与应用
摘要
Abstract
With the increasing complexity and diversity of company equipment,the traditional repair mode has exposed many limitations in dealing with fault handling and decision support.In order to improve the intelligent level of repair management,this paper proposes an intelligent repair decision support system based on data mining.The system uses Internet technology and data processing to collect and analyze a large number of historical repair data and real-time equipment operation data,and uses data mining technologies such as classification,clustering and association rules to automate fault prediction,task scheduling and optimal allocation of maintenance resources.关键词
数据挖掘/自动化/人工智能/智能报修决策支持系统/报修数据Key words
data mining/automation/artificial intelligence/intelligent repair decision support system/repair data分类
信息技术与安全科学引用本文复制引用
贺翔,潘浩,向宏健,岳浩,代琳..基于数据挖掘的智能报修决策支持系统研究与应用[J].科技创新与应用,2025,15(13):33-37,5.基金项目
武汉品道建筑园林工程有限公司2024科研项目(2024JSZN5KJ-YL2-001) （2024JSZN5KJ-YL2-001）
