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Dynamic Monitoring of Low Voltage Distribution Network Leakage Detection Device Based on Internet of Things Technology

机译:基于事物互联网技术的低压分布网络泄漏检测装置的动态监测

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The existing dynamic monitoring methods of low-voltage distribution network leakage detection device have been unable to meet the needs of the distribution network in China. Therefore, a dynamic monitoring method of low-voltage distribution network leakage detection device based on Internet of Things technology is proposed. Based on the introduction of the Internet of Things technology sensor sensing technology, the sensor is installed on the leakage detection device to obtain the operation data of the leakage detection device and preprocess it with noise reduction and normalization. At the same time, the statistical analysis of partial discharge signal is carried out to extract the characteristics of fast waveform signal (energy parameters, sample entropy and modal components). Based on the operation data features of the leakage detection device extracted above, the state diagnosis framework of the leakage detection device is built to diagnose the state of the leakage detection device, and the dynamic monitoring of the leakage detection device in low-voltage distribution network is realized. The experimental results show that: compared with the existing methods, the proposed method has stronger anti-interference ability and smaller monitoring error, which fully proves that the proposed method has better application effect.
机译:现有的低压配电网络泄漏检测装置的动态监测方法已经无法满足中国分销网络的需求。因此,提出了一种基于事物互联网技术的低压配电网泄漏检测装置的动态监测方法。基于事物互联网技术传感器传感技术的基础,传感器安装在漏电检测装置上,以获得泄漏检测装置的操作数据,并通过降噪和标准化进行预处理。同时,执行局部放电信号的统计分析以提取快速波形信号的特性(能量参数,样本熵和模态分量)。基于上面提取的泄漏检测装置的操作数据特征,构建了泄漏检测装置的状态诊断框架以诊断泄漏检测装置的状态,以及低压分布网络中泄漏检测装置的动态监测实现了。实验结果表明:与现有方法相比,所提出的方法具有较强的抗干扰能力和更小的监测误差,这完全证明了该方法具有更好的应用效果。

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