A cloud-edge intelligent solution integrating MQTT platforms and AI to construct an all-domain power IoT.
Real-time acquisition of power data via Modbus, OPC-UA, IEC, and other protocols, converted to MQTT for efficient storage, processing, analysis, and decision-making.
Time-series storage for large-scale power IoT data, featuring high write efficiency, vector search, compute-storage separation, and high compression.
Edge-side stream processing and AI analysis for power stations, enabling anomaly detection, preprocessing, cleansing, and feature extraction.
Unified platform for remote configuration, monitoring, and alerts of data acquisition and edge services, enabling full lifecycle edge management.
End-to-end monitoring and analysis of data transmission in complex systems, ensuring data quality, availability, and reliability.
Integrates time-series, link tracing, and maintenance data with large models via the MCP protocol to enable automated operations and intelligent decision-making.