The invention relates to a motor
partial discharge map analysis and
early warning system supporting WEB remote access, and belongs to the technical field of power systems and
automation thereof. According to the
system, a fusion acquisition unit acquires motor operation multi-source signals and extracts core features to form standardized data; an edge analysis unit pre-analyzes a
partial discharge map, marks abnormal feature points, locally caches data and then orderly uploads the data to a cloud according to a network state, and automatic
breakpoint resuming is carried out when the network is interrupted; the cloud analysis unit reconstructs a
partial discharge full atlas, matches and judges a fault type, constructs a multi-dimensional comprehensive evaluation model to quantitatively judge an early warning level, and generates a targeted disposal suggestion; and the
WEB interaction unit builds a distributed
WEB access architecture, bidirectionally synchronizes edge end and WEB end parameters in real time, and backtracks historical data to generate a fault tracing track when triggering early warning. Accurate monitoring of partial
discharge of the motor, edge cloud collaborative analysis, WEB remote intelligent early warning and fault tracing are realized, and stable operation of a power
system is effectively guaranteed.