Big data-based single-user power failure automatic alarm monitoring method and system

The invention discloses a single-user power failure automatic alarm monitoring method and system based on big data. The method comprises the steps of data acquisition, data preprocessing, data exchange, data point definition and single-user power failure automatic alarm monitoring. The invention belongs to the technical field of power failure alarm monitoring, and particularly relates to a single-user power failure automatic alarm monitoring method and system based on big data, according to the scheme, an exchange strategy is adopted based on data point density and relative density, and low-density points between clusters are prevented from being misjudged as core points; determining the number of neighbors based on the number of data and the dimension of the data set; dividing data points by defining a centroid point and a local density influence value; based on union sets and noise point marks, a dynamic boundary point distribution strategy is adopted; identifying abnormal data based on a clustering result;