基于LabVIEW实现BP神经网络的反窃电系统研究

Research on BP Neural Network Anti-electric Theft System Based on LabVIEW

为了解决反窃电技术评估窃电情况难度较大的问题,提出基于LabVIEW实现BP神经网络的反窃电系统。构建反窃电评价指标体系,以评价指标作为输入,窃电嫌疑因子及窃电方式作为输出,利用遗传优化BP神经网络,判断用户是否存在窃电行为,将判断结果以供有关部门审查,并采用LabVIEW搭建开发平台,实现BP神经网络的反窃电系统研究。实验结果表明:该系统评估窃电效果佳,可精准评估窃电嫌疑因子与窃电方式,提升反窃电效果。

In order to solve difficulties in evaluating the situation of stealing electricity by anti-stealing technology, a BP neural network anti-stealing electricity system based on LabVIEW is proposed. An evaluation index system of anti-stealing electricity is constructed, with the evaluation index as the input and the suspected factors and ways of stealing electricity as the output. The BP neural network optimized by genetic algorithm is used to judge whether the user has stealing electricity behavior, and the judgment results are provided for the review of relevant departments. The development platform is built by LabVIEW to realize the research of anti-stealing electricity system of BP neural network. The experimental results show that the system has a good evaluation effect of stealing electricity, can accurately evaluate the suspected factors and ways of stealing electricity, and improve the effect of anti-stealing electricity.