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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."

The application discloses a kind of based on microservice architecture's cross-border e-commerce whole link middle platform and intelligent management system, the system uses the five-layer architecture of application display layer, business logic layer, data integration layer, data storage layer and infrastructure layer composition, wherein, business logic layer integrates dynamic profit accounting engine, through real-time inquiry inventory moving weighted average cost and actual logistics expense, realize order level accurate profit accounting;Advertisement attribution engine uses mixed allocation algorithm, and accurately attribute advertisement expenditure to specific SKU;Product synchronization engine supports the product information management of "one edit, multi-platform push", and data integration layer is connected to e-commerce platform, supply chain system and advertisement platform efficiently through multi-source heterogeneous adapter.The application realizes the closed-loop intelligent management and decision support of cross-border e-commerce from front-end sales, middle platform data processing to back-end supply chain, significantly improves the timeliness, accuracy and operation efficiency of business decision.