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CASE
Power Grid Traffic Intelligent Digital City Ocean
Operational and maintenance solution for intelligent computing center
Business Challenge
Operational and maintenance costs are escalatingThe expansion of computer room size, stricter inspection standards, continuous increase in manpower input, and high operation and maintenance expenses.
Limited monitoring coverageTraditional fixed sensors have a single layout and are unable to collect environmental data across the entire area, resulting in blind spots in monitoring.
It is difficult to control the quality of inspectionManual inspection is prone to missed and incorrect inspections, while manual archiving of data is prone to significant errors, damage, and loss.
Material control lags behindThe locations of operation and maintenance equipment and tools change frequently, and spare parts are expensive. Traditional models cannot provide real-time traceability and dynamic management.
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.
Solution Value
Cost reduction and efficiency improvementReplace repetitive and high-risk tasks performed by humans, reduce labor costs, enhance work efficiency in inspection and asset management, and minimize human errors
Improve operation and maintenance qualityAchieve comprehensive and seamless patrol inspection and precise anomaly detection, drive the transformation of operation and maintenance from "reactive response" to "proactive prevention", and ensure the stable operation of the computer room.
Ensure operation and maintenance safetyReduce personnel access to high-risk areas, minimize potential safety hazards, and standardize operation and maintenance procedures to avoid various safety risks.
Standardized management systemBreak down data silos, achieve standardized management and control of asset and operation and maintenance data, provide support for operation and maintenance decisions, and enhance the level of refined management.