A Smart and Safe Robot System for Electric Monitoring

Abstract

At present, as a place for power grid system application service operation, the daily operation and maintenance and inspection of the electric power equipment room still remain in the manual stage. This paper introduces the design method of an intelligent safe robot system for power monitoring. SLAM trackless navigation technology, deep learning-based visual recognition technology, face recognition model and intelligent voice interaction technology are applied in the system. The system can realize the daily automation and intelligent operation and maintenance of the power room. Such as: hardware equipment running state monitoring, power environment monitoring, asset inventory, etc.