摘要
智能运维是智慧城市的重要部分,本研究探索基于大数据与电气自动化融合的景观照明智能运维系统设计方法。先构建以健康度、能效、故障率与响应时间为核心指标的多参数评分模型,公式化描述各指标之间的关系。结合边缘计算、远程控制与故障预警等关键技术,开展实地监测与模型验证。在实际部署中T1至T5设备评分范围为0.694~0.902,系统成功识别高风险节点并联动调度。结果表明该智能运维系统能有效降低平均故障率、提高响应效率和维护精度。
Intelligent operation and maintenance is an important part of smart cities.This study explores the design method of intelligent operation and maintenance system for landscape lighting based on the integration of big data and electrical automation.Firstly,a multiparameter scoring model with health(HI),energy efficiency(EE),failure rate(FR)and response time(RT)as the core indicators is constructed,and the relationship among the indicators is described in a formulaic way.Combined with key technologies such as edge computing,remote control and fault early warning,field monitoring and model verification are carried out.In the actual deployment,the scoring range of T1-T5 equipment is 0.694~0.902,and the system successfully identifies high-risk nodes and makes joint scheduling.The results show that the intelligent operation and maintenance system can effectively reduce the average failure rate,improve the response efficiency and maintenance accuracy.
作者
丁奇
DING Qi(Gansu Yasheng Yameite Water Saving Co.,Ltd.,Lanzhou 730030,P.R.China)
出处
《灯与照明》
2025年第6期16-18,共3页
Light & Lighting
关键词
景观照明
智能运维
大数据
边缘计算
landscape lighting
intelligent operation and maintenance
big data
edge calculation
