Solution Introduction
The data center operation and maintenance solution is centered around "intelligent perception, efficient operation and maintenance, and secure controllability". It focuses on addressing the shortcomings of manual operation and maintenance, and through a "cloud-edge-device" collaborative architecture and robot + AI technology drive, it constructs an intelligent operation and maintenance management closed loop. The project deploys intelligent inspection robots and smart patrol systems, integrates multi-source front-end perception technology, device-side small models, and industry-specific large model algorithms, to complete equipment and environmental inspections in scenarios such as data centers, power rooms, and refrigeration rooms, achieving intelligent operation and maintenance management.

Global multi-source precise perceptionIntegrated high-definition technology can integrate multiple sensing modules such as optical cameras, infrared thermal imagers, and gas temperature and humidity sensors, breaking free from the limitations of fixed monitoring. It can comprehensively collect equipment status and machine room environmental data, eliminating inspection blind spots.

Cloud-edge collaborative inference framework for large and small modelsRelying on edge-side industry-specific models, real-time analysis of equipment operating parameters is achieved; the large-scale machine room industry model deployed on the cloud performs multi-dimensional decomposition of equipment defect characteristics, and combines historical operation and maintenance databases to achieve accurate prediction of sub-optimal health states.

Intelligent access control linkage and passageSupport deep integration with the computer room access control system, and provide a standard linkage solution for doors, mouse guards, and elevators, enabling automatic cross-room and cross-floor autonomous access, and achieving unimpeded autonomous inspection operations throughout the entire area.