Multi-source data processing method for low-voltage distribution network

This paper studies a multi-source data processing method for low-voltage distribution network, which involves the field of electrical engineering science and technology, including the following steps: step (a): Collecting multi-source data for low-voltage distribution network; Step (b): Preprocess the multi-source data collected in step (a); Step (c): Carry out final processing and data fusion of the pretreated multi-source data; The details are as follows: use the data sensor to obtain the data feature function, compare the data features, detect the connection between the data features, and systematically transform the feature information to obtain the fused data information. This paper collects and collates the multi-source data of low-voltage distribution network, strengthens the collection ability of the system, strengthens the theoretical and operational performance of the system, and constantly improves its own protection performance to protect the data from external interference factors.