Abstract
In the process of image acquisition of substation inspection robot, it is difficult to detect and recognize the status of indicator lights due to the influence of imaging environment, robot posture, motion state and other factors. To solve the above problems, an indicator light state recognition method based on quadruped robot platform is proposed. First, the fixed inspection route of quadruped inspection robot is set, and the network camera is used to collect the image of substation equipment. Second, the YOLOv5s target detection network is used to detect the indicator area in the collected image, and the corresponding equipment type is determined according to the indicator panel type. Finally, the detected indicator area image is converted to HSV colour space, and the colour of the indicator light is recognized to obtain the indicator status of the equipment. The experiment is carried out in the real substation equipment indicator data set, and the results show that the proposed method can effectively identify the status of the indicator and has a good effect in the practical application.
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Acknowledgements
This work is supported by the Innovation and Entrepreneurship Fund of Tian Di Science & Technology Co., Ltd under grant, No. 2022-TD-QN002, 2020-2-TD-ZD001 and 2022-3-TD-ZD001.
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Li, J., Zhu, X., Li, T., Yang, X. (2023). Indicator Light Identification Method for Substation Equipment Based on Inspection Robot. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering. MMESE 2023. Lecture Notes in Electrical Engineering, vol 1069. Springer, Singapore. https://doi.org/10.1007/978-981-99-4882-6_42
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DOI: https://doi.org/10.1007/978-981-99-4882-6_42
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