Abstract: At present，there are some problems in line loss fault detection of electric quantity information

acquisition equipment，such as low detection rate，poor applicability and so on. An automatic line loss fault

detection method for electric quantity information acquisition equipment was proposed. By determining the overall

architecture of the line loss fault detection system，the hardware was divided into modules such as master station，

C/S distributed processor and user terminal. At the same time，the software was divided into storage layer，

processing layer and presentation layer. The corresponding tasks of each layer were formulated，and the collected

load data of the same user were normalized. The drosophila algorithm was used to design the search operation，and the central position of drosophila population was optimized iteratively. The correlation coefficient and the relative distance index were respectively used to realize the pattern matching of time series，obtain the matching degree preference，set the line loss fault early warning threshold，and complete the automatic detection of line loss fault of electric quantity information acquisition equipment. The simulation results show that this method has high fault detection rate，strong adaptability and better application performance compared with the traditional method.

      Key words: electric quantity information acquisition equipment；line loss fault；automatic detection；load

mode；time series