A Multi-Scene Telecom Operator On-Site Maintenance Patrol Method based on Machine Vision

Telecom operators carry out multi-point and multi-faceted patrols and maintenance for optical cables, equipment, equipment rooms, and other supporting devices. Currently, on-site patrol mainly adopts traditional manual methods, which face problems such as late detection, heavy inspection workload, and low personnel efficiency. This paper proposes a multi-scene telecom operator on-site patrol method based on machine vision. This method can identify and patrol multiple key scenes of on-site patrol. According to the characteristics of patrol scenes and patrol tasks in specific scenes, it completes automatic patrol using various artificial intelligence models through machine vision image data. It realizes problem alarm and maintenance quality certification. The method also intelligently adjusts patrol strategies based on historical patrol conditions. This method can effectively improve patrol efficiency and the accuracy of patrol results, rationally allocate patrol resources, and improve the intelligence and professionalism of operators' on-site maintenance patrol.