基于无线传感器的防触电预警模型设计

Design of early warning model against electric shock based on wireless sensor

防触电预警模型的研究具有重要意义,当前防触电预警模型存在预警正确率低、虚警率高等缺陷,为了获得理想的防触电预警结果,设计了基于无线传感器的防触电预警模型。首先采用无线传感器对防触电预警信号进行采集,并进行一定的预处理,去除信号无用的噪声,然后提取防触电预警信号中的特征,并将特征输入到机器学习算法中进行学习,建立防触电预警模型,最后在Matlab平台对防触电预警模型的性能进行了验证性测试。测试结果表明,相对于其他防触电预警模型,该模型获得更高的防触电预警正确率,虚警率急剧减少,同时加快了防触电预警速度,防触电预警整体效果更佳。

The research on the early warning model of electric shock prevention is of great significance. At present, the early warning model of electric shock prevention has the defects of low accuracy and high false alarm rate. In order to obtain the ideal early warning results of electric shock prevention, the early warning model of electric shock prevention based on wireless sensor is designed. Firstly, the wireless sensor is used to collect and preprocess the early warning signal of electric shock, to remove the useless noise of the signal, then extract the features of the early warning signal of electric shock, and input the features into the machine learning algorithm for learning, and establish the early warning model of electric shock. Finally, the performance of the early warning model of electric shock is tested in the Matlab platform. The test results show that compared with other early-warning models, the model in this paper has a higher accuracy rate of early-warning against electric shock, and the false alarm rate is sharply reduced. At the same time, the early-warning against electric shock is sped up, and the overall effect of early-warning against electric shock is better.