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基于在线自动检测装置的复合绝缘子憎水性评价 被引量:2

Evaluation of Hydrophobicity of Composite Insulator Based on Online Automatic Detection Device
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摘要 针对目前复合绝缘子检测工作存在的局限和不足,研制了一套复合绝缘子憎水性在线自动检测装置。该装置由喷水装置、微型拍摄装置和安装有憎水性分析软件的便携式电脑组成。憎水性分析软件利用Matlab平台开发,应用先进的图像处理技术和BP神经网络实现了对绝缘子憎水性的自动识别。软件具有数据库管理功能,可对历史数据进行查询,对检测结果进行评价。同时,考虑到复合绝缘子憎水性受季节变化因素影响,建立了科学的评价方法,提出合理的运行维护方案和建议。试验结果表明,该装置能够安全、快速、准确地在线自动检测复合绝缘子的憎水性等级,准确率高达90%以上,满足工程实际需求。 According to the limitation and shortage of the present detection work of composite insulators,the online automatic detection device for the hydrophobicity of composite insulators is developed.The device is composed of a water spraying device,a micro shooting device and a portable computer,which is equipped with hydrophobicity analysis software.Hydrophobicity analysis software is developed on the Matlab platform,using the advanced image processing technology and BP neural network to realize the automatic recognition of the hydrophobicity of insulators.The software has a database management function,which can query historical data and evaluate the test results.At the same time,considering the influence of seasonal variation factors on the hydrophobicity of composite insulators,a scientific evaluation method is established,and reasonable operation and maintenance plans and suggestions are given.The test results show that the device can be safely,quickly and accurately,and can automatically detect the hydrophobic grades of composite insulators,and the accuracy rate is more than 90%,which provides data support for technical personnel of power supply companies and meets the actual needs of engineering.
作者 闫康 YAN Kang(State Grid Luquan Power Supply Company,Luquan 050200,China)
出处 《内蒙古电力技术》 2019年第4期97-100,共4页 Inner Mongolia Electric Power
基金 中央高校基本科研业务费专项资金资助项目(2018MS086)
关键词 复合绝缘子 憎水性 自动检测 MATLAB 图像处理技术 BP神经网络 composite insulators hydrophobicity automatic detection Matlab image processing technology BP neural network
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