Research on the Application Technology of Drones in Smart Inspection of Nightscape Lighting
WANG Hongshui
ZHANG Feng
HE Hongchao
DAI Congqi
LIU Shu
Abstract：This study proposes a drone-based smart inspection technology to address the growing demand for fault detection in urban nightscape lighting.By integrating the autonomous flight capabilities of drones with deep learning-driven image processing techniques,the efficiency and accuracy of fault detection are significantly improved.The article first analyzes the challenges in the field of night scene lighting and the application prospects of drone technology.It then provides a detailed introduction to the design of the inspection system,data processing processes and key technologies for fault analysis.The focus is on image fusion and target detection algorithms and their application in real-time fault identification,aiming to provide innovative solutions for nightscape lighting maintenance and explore their potential value in urban infrastructure maintenance.
Keywords：night scene lightingdrone technologyfault analysisimage processingdeep learninglamp fault detection
Publication Date：2024-10-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：9( 129-137 )