Low-voltage power distribution monitoring terminal data acquisition anomaly detection method and system

The invention discloses a low-voltage power distribution monitoring terminal data acquisition anomaly detection method and system, and the method comprises the steps: carrying out the clustering analysis of a pre-processed data sample of a low-voltage power distribution terminal through a clustering algorithm based on density, and obtaining an abnormal data sample; and judging whether the low-voltage power distribution terminal is abnormal in data acquisition or not according to the number of the abnormal data samples. According to the invention, anomaly detection is carried out on data acquisition of the low-voltage power distribution terminal, and meanwhile, the accuracy of anomaly detection is improved based on standardized processing and data cleaning of data samples of the low-voltage power distribution terminal. 本申请公开了一种低压配电监控终端数据采集异常检测方法及系统，通过基于密度的聚类算法对预先处理好的低压配电终端的数据样本进行聚类分析，从而可以得到异常数据样本，进而通过异常数据样本的个数判断低压配电终端是否为数据采集异常。其实现了对低压配电终端的数据采集进行异常检测，同时，基于对低压配电终端的数据样本的标准化处理和数据清洗，提高了异常检测的准确性。