The invention discloses an
electric power system wiring detection method based on block
parallel processing, and relates to the field of current detection, and the method comprises the steps: collecting real-time operation data through a sensor disposed at a key node, and constructing a basic
data set after Kalman filtering denoising and normalization
processing; establishing a sub-block
identification system based on topological structure blocks, and extracting electrical and topological feature vectors; a master-slave
parallel computing architecture is adopted, a master node allocates tasks according to priorities, and an improved
random forest model is utilized to perform sub-
block level anomaly preliminary screening; cross-sub-block collaborative
verification is realized by verifying the boundary
interconnection switch state, the
branch current and the
bus voltage; and finally, constructing a global wiring state map to perform
difference analysis, accurately positioning abnormal equipment and types, and verifying a result through high-precision retest. The method has the advantages that the efficiency is improved through scientific partitioning and distributed
parallel computing, the accuracy is guaranteed in combination with multi-dimensional detection, boundary
verification and a retest mechanism, wiring abnormity is efficiently positioned, and reliable support is provided.