大数据环境下的照明设备寿命预测模型开发及实践  

Development and Practice of Life Prediction Models for Lighting Equipment under Big Data Environment

作　　者：李斌 LI Bin(Shanxi College of Applied Science and Technology,College of Information Engineering,Taiyuan 030062 China)

机构地区：[1]山西应用科技学院信息工程学院,山西太原030062

出　　处：《中国照明电器》2024年第11期126-128,共3页China Light & Lighting

摘　　要：传统的照明设备寿命预测方法往往依赖于经验估计或简单的统计模型,难以应对复杂多变的实际应用场景。文章就大数据环境下的照明设备寿命预测模型的开发及实践进行了详细探讨,以期为城市照明系统的可持续管理提供科学的决策支持和技术指导。Traditional life prediction methods often rely on empirical estimation or simple statistical models,which are difficult to cope with the complex and changing practical application environment.This paper discusses in detail the development and practice of lighting equipment life prediction model in big data environment,in order to provide scientific decision support and technical guidance for the sustainable management of urban lighting system.

关 键 词：大数据 照明设备 寿命预测 

分 类 号：TM923[电气工程—电力电子与电力传动]