Intelligent Operation and Maintenance Platform
Convert the uncertainties in data‑center infrastructure operation and maintenance into certainties, ensuring the safe, stable and efficient operation of data centers.
Overview
Targeting critical infrastructure of data centers, the Intelligent Operation and Maintenance Platform builds a deterministic O&M system centered on “monitoring, analysis, management and optimization”. It integrates and unifies management of power, cooling, environmental monitoring and security systems to eliminate data silos across disparate systems. A unified data view and management portal are established to enable cross‑system data fusion and correlation analysis. Data‑driven capabilities including visual presentation, energy‑efficiency analysis, capacity management and O&M management facilitate the transition of data centers from the traditional “decentralized monitoring and manual O&M” model to a deterministic O&M system featuring “centralized control, data‑driven operation and intelligent decision‑making”. Continuous perception of operating status and trend analysis enable early risk identification and proactive intervention. The platform comprehensively improves data center security, operational stability and operational efficiency, supporting its sustainable development toward high reliability, refined management and low‑carbon green operation.
Scenario-Based Solutions
Full-Domain Visibility & Integrated Centralized Monitoring
Integrate multi-source heterogeneous data from power, cooling, environment and security systems to build a unified monitoring platform, achieving full coverage from equipment to system level. With unified display and multi-dimensional views, it enables real-time grasp of overall data center operation, eliminates management blind spots caused by system fragmentation, and enhances overall control capability and response efficiency of O&M.
Alert Governance, Intelligent Analysis & Efficient Disposal
Establish a unified alert management and governance system for centralized access, standardization, and classified management of alerts from different systems. Through alert compression, deduplication and correlation analysis, it effectively reduces alert noise and storm impacts, helps O&M staff quickly locate fault root causes, shortens troubleshooting time, and improves overall O&M efficiency and service quality.
Energy Efficiency Optimization & Refined Energy Management
Conduct full-link energy consumption collection and analysis on data center power and cooling systems, with real-time monitoring of PUE and various energy efficiency indicators. Multi-dimensional energy consumption comparison and trend analysis identify high-energy equipment and inefficient links, supporting the formulation of energy-saving strategies, realizing refined energy management, continuously reducing operating costs and promoting green data center construction.
Capacity Management, Resource Visibility & Scientific Planning
Build a unified capacity management model for key resources including cabinets, power and cooling, with real-time monitoring and historical analysis of resource usage. Combined with trend prediction, it identifies resource bottlenecks and capacity risks in advance, supports decision-making for resource optimization, migration and expansion, and maximizes resource utilization and rationalizes investment.
Digital Twin & 3D Visual O&M Management
Construct a 3D digital twin scenario based on server room space and equipment models to intuitively display equipment location, operation status and alert information. The integration of virtual and reality improves spatial cognition and status perception of O&M personnel, delivers a “what you see is what you get” management experience, and significantly improves O&M efficiency and management accuracy.
O&M Management: Standardized Processes & Closed-Loop Control
Build a standardized O&M process system focusing on core scenarios such as inspection, maintenance, change and emergency response, realizing full-process closed-loop management of task assignment, execution tracking and result feedback. The integration of systems and regulations improves standardization and traceability of O&M work, reduces manual operation risks, and ensures sustainable and controllable O&M quality.
Proactive Prevention, Risk Prediction & Trend Analysis
Establish risk analysis and prediction models based on equipment operation data and historical trends to continuously monitor key equipment and identify anomalies. Early warning of potential faults and operation risks transforms O&M mode from post-processing to pre-prevention, effectively reducing failure probability and business impact scope.
Solution Value
Security & Reliability: Build a Stable Operation Foundation
Through comprehensive perception and continuous monitoring of infrastructure operating status, potential risks and hidden dangers can be identified in advance and handled in a timely manner. It ensures long‑term stable operation of data centers and provides solid and reliable underlying support for business systems.
Efficient O&M: Boost Overall Management Efficiency
Leveraging unified monitoring and digital O&M management, it reduces manual inspections and repetitive operations, greatly improves the efficiency of problem detection and resolution, lowers O&M complexity, and achieves an overall boost in operational efficiency.
Cost Reduction & Efficiency: Optimize Operational Investment
With energy consumption analysis and refined resource management, it continuously cuts power and cooling costs, improves resource utilization and avoids resource waste, so as to realize effective control over data center operating costs.
Refined Management: Support Scientific Decision-Making
Based on data, it conducts comprehensive quantitative analysis on resources, capacity and operating status. It helps managers obtain real operational conditions, enhances the accuracy and forward‑looking nature of decision‑making, and drives the transformation toward refined management modes.
Architecture Diagram
