JOURNAL ARTICLE

UAV power line inspection based on multi-sensor fusion

Chen CuiLong ChenYanzhi SunCheng Fu

Year: 2022 Journal:   International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022) Pages: 101-101

Abstract

With the rapid development of sensors and integrated chips, traditional power grid inspection tasks are gradually replaced by drones and new sensors. However, the ability of robots or drones to collect and process information needs to be improved. The integration ability needs to be improved. This paper analyzes the shortcomings of the current UAV inspection robots, builds a wireless sensor network based on Lora, 5G modules and various sensor combinations, and completes the data collection work with the inspection robot at the same time. The information is sent back to the PC data center, and finally the purpose of drone inspection and assistance in inspection is achieved. After testing, the multi-sensor fusion UAV power line inspection can realize a full series of density curve distribution diagrams to meet the limited requirements of the line safety distance.

Keywords:
Drone Sensor fusion Computer science Robot Process (computing) Wireless sensor network Real-time computing Line (geometry) Grid Power (physics) Embedded system Artificial intelligence Computer network

Metrics

4
Cited By
2.45
FWCI (Field Weighted Citation Impact)
3
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Power Line Inspection Robots
Physical Sciences →  Engineering →  Mechanical Engineering
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
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