AI Chip-based Intelligent Behavior Analysis and Anomaly Detection System for Power Logistics

The intelligent evolution of power systems demands higher safety and efficiency in power logistics, where traditional surveillance exhibits delayed responses and limited analytical capabilities. This paper proposes a behavior analysis and anomaly detection scheme using high-performance, edge-deployed NPU-based intelligent analysis terminals. The system leverages NPU s to efficiently process multiple HD video streams, integrating multi-task AI models for real-time analysis and alert generation. The end-to-end design - encompassing data acquisition, AI model integration, and anomaly identification with alerting-demonstrably enhances power facility safety and production efficiency, reduces O&M costs, and minimizes human-related risks. Experimental results confirm the solution's effectiveness and advanced nature, offering technical support for the intelligent transformation of the power sector.