无人机巡线的紫外放电检测研究
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TN23

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国家自然科学基金(61971345)、西安市科学计划(CXY1835( 4))、西安市碑林区科技计划(GX1921)、榆林市科技计划(2019-145)资助项目


Ultraviolet discharge detection research for UAV patrol
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    摘要:

    针对无人机巡线中输电设施放电问题,推导了紫外放电检测链路模型并使用光电倍增管设计了紫外放电检测系统。 使 用紫外放电检测系统进行放电检测实验,实验结果表明,系统探测信号与放电信号高度重合,系统探测信号强度与放电信号的 强度呈现良好的线性相关;同一探测距离不同探测位置探测得到的信号峰值与探测平均值的相对误差小于 3%,即探测信号强 弱与探测距离有关,与探测位置无关;不同探测距离下模型计算的理论值与实际探测值具有一致性,之间的相对误差最大为 15. 7%,验证了模型的正确性。 该成果对无人机巡线时的紫外放电检测有一定的指导意义。

    Abstract:

    Aiming at the discharge problem of transmission facilities in UAV patrol line, the ultraviolet discharge detection system is designed by adopting the ultraviolet discharge detection link model and using photomultiplier. Ultraviolet discharge detection system is used for discharge detection experiment. The experimental results are as follows, the detected signal of the system is highly coincident with the discharge signal, and the intensity of the detected signal of the system is linearly correlated with the intensity of the discharge signal. The relative error between the peak value of the detected signal and the average value of the detected signal is less than 3%, that is, the strength of the detected signal is related to the detected distance and has nothing to do with the detected position. The theoretical value calculated by the model under different detection distances is consistent with the actual detection value, and the maximum relative error is 15. 7%, which verifies the correctness of the model. The results of this paper have some guiding significance for UV discharge detection of UAV in line patrol. Keywords:UAV patrol; UV disch

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赵太飞,李晗辰,张 港,郑博睿.无人机巡线的紫外放电检测研究[J].电子测量与仪器学报,2020,34(12):36-42

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  • 在线发布日期: 2023-11-20
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