大数据技术在照明行业故障预测与维护中的应用  

Application of Big Data Technology in Fault Prediction and Maintenance of Lighting Industry

作　　者：张静峰 孙钰杰 ZHANG Jingfeng;SUN Yujie(Linzhou College of Architectural Technology,Linzhou 456500,China)

机构地区：[1]林州建筑职业技术学院人工智能系,河南林州456500

出　　处：《中国照明电器》2024年第6期50-52,共3页China Light & Lighting

摘　　要：大数据技术通过汇集和分析海量照明系统运行数据,能够揭示系统运行中的隐藏模式和潜在故障风险,为故障预防和及时维护提供新的思路和方法。本文就大数据技术在照明行业中的应用展开了全面探讨,以阐释大数据技术如何为照明系统的可靠性和维护效率带来质的飞跃,并为照明行业的未来发展提供新的视角和思路。By collecting and analyzing the massive operation data of the lighting system,the big data technology can reveal the hidden mode and potential fault risks in the operation of the system,and provide new ideas and methods for fault prevention and timely maintenance.This paper opens a comprehensive discussion on the application of big data technology in the lighting industry,aiming to explain how big data technology brings a qualitative leap to the reliability and maintenance efficiency of the lighting system,and provide new perspectives and ideas for the future development of the lighting industry.

关 键 词：大数据技术 照明行业 故障预测 故障维护 

分 类 号：TU113.66[建筑科学—建筑理论]