Research on problems and countermeasures in the application of substation intelligent inspection system

Author:

Zhao Min,Mao Yingke,Hen Qian,Zhou Yong

Abstract

Abstract Substation plays an important role in the power system as the pivot of the power grid. With the continuous expansion of the power grid, the intelligent inspection system based on robots is widely used in the substation industry. However, the existing inspection robot has some drawbacks, such as low battery capacity, weak obstacle performance, slow movement speed, and blind areas during the inspection. This paper proposed some measurements aimed at these drawbacks, such as optimizing the robot performance, adding the image acquisition PTZ (Pan, Tilt, and Zoom camera) in fixed point, using the AR (Augmented Reality) glasses assistance. These approaches improve the efficiency and quality of the existing intelligent inspection system in the substation.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference3 articles.

1. Application of Internet of Things Technology in the Management of Power Transmission and Distribution Equipment;Wang;Power System Communication,2011

2. The application of intelligent inspection system in secondary hydropower station;Zhu;Electric Safety Technology,2015

3. Research on a full-dimensional equipment condition monitoring system with panoramic function based on the Internet of Things;Ai;Power system protection and control,2019

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1. Image Analysis Method of Substation Equipment Status Based on Cross‐Modal Learning;IEEJ Transactions on Electrical and Electronic Engineering;2024-06-24

2. Research and Application of Intelligent Inspection and Fire Extinguishing Robots for Petroleum and Petrochemical Industry;2023 2nd International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR);2023-12-08

3. A Key Frame Extraction Method for Intelligent Patrol Video of Large-Scale Substation Based on Sequence Segmentation;Proceedings of the 2023 International Conference on Big Data Mining and Information Processing;2023-11-17

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