Optimization Algorithm of Transmission Line Defect Detection and Identification Based on Embedded AI

Yi Jiang, Hanghang Zhao, Weixing Li, Ning Wang, Min Fan, H. Wang
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引用次数: 0

Abstract

In order to better improve the accuracy of transmission line defect detection and ensure the safety of transmission line operation, an optimization algorithm of transmission line defect detection and identification based on embedded AI is proposed. Firstly, based on embedded AI, the target characteristics of transmission line defects are identified, and based on the identification results, the defect area location processing is carried out, the transmission line defect detection and identification algorithm is improved, and the evaluation index of transmission line safety level is constructed, Simplify the transmission line defect detection process. Finally, the application proves that the transmission line defect detection and identification optimization algorithm based on embedded AI has high practicability and fully meets the research requirements.
基于嵌入式AI的输电线路缺陷检测与识别优化算法
为了更好地提高输电线路缺陷检测的准确性,保证输电线路运行安全,提出了一种基于嵌入式AI的输电线路缺陷检测识别优化算法。首先,基于嵌入式AI识别传输线缺陷目标特征,并根据识别结果进行缺陷区域定位处理,改进传输线缺陷检测识别算法,构建传输线安全等级评价指标,简化传输线缺陷检测流程。最后,应用证明,基于嵌入式AI的传输线缺陷检测识别优化算法具有较高的实用性,完全满足研究要求。
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