Research on intelligent patrol system of photovoltaic power station based on lidar

Dehan Xue; Zhiyong Chen; Xin Deng

doi:10.1117/12.3013633

29 November 2023 Research on intelligent patrol system of photovoltaic power station based on lidar

Dehan Xue, Zhiyong Chen, Xin Deng

Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 129370L (2023) https://doi.org/10.1117/12.3013633
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore

Abstract

Currently, the existing human patrol and machine patrol methods lack of analysis of the surrounding environment of photovoltaic power stations, which leads to the situation that the power line inspection data are not consistent with the actual results, so that the inaccuracy of intelligent inspection results are obtained. Then, an intelligent inspection system for photovoltaic power station based on lidar point cloud data is designed. In particular, the environment and equipment information are processed centrally and the processing results are stored in the storage module. Besides, the laser radar is used to measure the distance. The laser pulse is used to collect and process the point cloud data, so as to adjust the radar parameters. By calculating the distance between the laser source and the measured point, the environmental information around the photovoltaic power station is obtained to form a three-dimensional surface model, which is used to fit the power line and achieve the best parameters. The experimental results show that the horizontal distance and vertical distance of the proposed system are consistent with the actual result, which are also accurate.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dehan Xue, Zhiyong Chen, and Xin Deng "Research on intelligent patrol system of photovoltaic power station based on lidar", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 129370L (29 November 2023); https://doi.org/10.1117/12.3013633

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KEYWORDS

Inspection

LIDAR

Point clouds

Intelligence systems

Data storage

3D modeling

Pulsed laser operation

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