Research and Application of Intelligent Inspection Technology for New Energy Stations Based on 5?G Network
This paper aims to study the intelligent inspection technology for new energy stations based on 5 G networks and explore its application potential.Traditional manual inspection methods have problems such as low efficiency and poor security,while intelligent inspection technology based on 5 G networks can improve inspection efficiency and accuracy.This article focuses on the 5 G neural network adaptive control technology for robots and is divided into two main parts for research.Firstly,by analyzing the structure of the inspection robot and establishing a dynamic model,it is ensured that the robot can accurately conduct inspections.Secondly,by utilizing neural network adaptive control flow,intelligent inspection path planning and motion control were achieved based on environmental information collection and processing.Through simulation analysis,the superiority of this technology in improving inspection efficiency and accuracy has been verified.The research results indicate that the intelligent inspection technology for new energy stations based on 5 G networks has advantages such as efficiency,accuracy,and safety.It can provide important technical support for the inspection of new energy stations and has broad application prospects.
5 G neural networknew energy stationssmart inspection technology
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