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An AI perception and customer power outage intelligent scheduling analysis method based on low-voltage topology

PendingCN122292351Ashorten the timeRealize automatic monitoring in all time domainsStatistical analysisCollection system
This invention relates to the field of power system automation technology, specifically to a method for intelligent dispatching and analysis of customer power outages based on low-voltage topology AI perception. The method includes: S1, periodically running the first automation module to automatically query customer power outage event data in the electricity information collection system; S2, processing and intelligently analyzing the power outage data, accurately determining the fault range based on a five-level analysis logic of "single household - meter box - branch - transformer area - line," matching responsible persons, and generating formatted notification messages; S3, securely pushing the message to the external network via an internal / external network connectivity tool, automatically forwarding it to the corresponding responsible group; S4, collecting on-site power outage causes through online forms, and generating a decision report through multi-dimensional statistical analysis using AI analysis tools. This invention achieves minute-level automatic perception of customer power outages, accurate fault location, and proactive dispatching, reducing power outage discovery time by more than 90%, effectively promoting a fundamental shift in customer service models from "passive reporting" to "proactive intelligent emergency repair."
Owner:STATE GRID SHANDONG ELECTRIC POWER CO