Research on Intelligent Lighting Monitoring and Fault Diagnosis Technology Based on Visual Recognition
WU Wenqian
Abstract：With the continuous expansion of urban and industrial production scale,it is difficult to find the slow aging problem of lights in real time by relying on the traditional manual inspection mode,nor can it be perceived immediately when the fault occurs,which not only has public safety hazards,but also leads to energy waste.Therefore,this paper mainly discusses how to extract brightness and color temperature parameters through image processing algorithms,and how to train the model to identify brightness attenuation,color temperature deviation,flicker,lamp damage and other faults;At the same time,aiming at the environmental interference and other problems encountered in practical application,the optimization strategy is put forward to promote the long-period,unmanned and refined intelligent operation and maintenance of lighting facilities.
Keywords：visual recognitionintelligent lighting monitoringfault diagnosisedge computing
Publication Date：2026-02-25
Online Publishing Date：2026-03-12(First online date of this platform, not the publication date of the document)
Pages：3( 119-121 )