DCEM Data Center AI-Based Energy Management Platform for Centralized Control
The DCEM (Data Center Energy Management) AI-based Intelligent Control and Energy-Saving Platform is a specialized, intelligent management system designed for data center cooling sources and air conditioning systems. Leveraging a closed-loop technology framework of "Perception-Analysis-Control-Optimization," the platform enables full-lifecycle energy efficiency management for server rooms. Focused on optimizing the energy efficiency of cooling systems while ensuring environmental safety and operational efficiency, the platform helps data centers improve their PUE (Power Usage Effectiveness) and enhance overall operational performance.
Application Scenarios
Large Data Center: Designed for data centers requiring high-precision, large-scale monitoring and management.
Enterprise-Level Data Center: Designed for enterprise-level data centers with stringent energy management requirements.
Cloud Computing Center: Designed for cloud computing centers that require efficient energy management.
With our IDC cold source and data center air conditioning intelligent energy-saving AI management system, you can achieve smart and efficient data center operations, significantly reducing energy consumption, improving the PUE value, and ensuring stable operation and sustainable development of your data center.
Features and Value
Core Performance Metrics
| Technical Dimension | Flagship Edition Parameters | Industry Benchmark Comparison | Value realization |
| Self-learning AI Models | Automatic online learning, self-calibration within 48 hours | Traditional solution: Requires manual, periodic updates | Dynamically adapt to environmental changes and continuously optimize energy-saving strategies. |
| Control Precision | ±0.1°C (Temperature and Humidity Control) | Traditional solution: ±1℃ | Precisely control the data center environment, reduce cooling energy waste, and enhance PUE optimization performance. |
| Strategy Generation Efficiency | ≤5 minutes (Adaptive Iteration) | Conventional AI: ≥15 minutes | Quickly respond to electricity price peaks, saving over 2 million yuan annually in electricity costs.* |
| Failure Response Time | ≤3 minutes | Traditional solution: ≥15 minutes | Real-time fault prediction and automatic switchover to ensure stable system operation. |
| Static Positioning Capacity | ≥50,000 units (expandable support) | Conventional system: ≤15,000 units | Single-device coverage extends to all sensors in ultra-large data centers, reducing hardware investment by 30%. |
| Dynamic Acquisition Rate | ≥5,000 messages per second (millisecond-level) | Traditional solution: ≤800 records/second | Real-time capture of microsecond-level load fluctuations to prevent temperature instability risks exceeding 0.5℃. |
| Energy Consumption Optimization Rate | ≥30% | Traditional solution: ≤10% | Significantly reduce the energy consumption of the cold source system and enhance overall energy efficiency. |
| Data Storage Cycle | ≥1000 days (cold and hot data tiering) | Industry Standard: 180 Days | Meets financial-grade audit requirements and supports 3-year energy consumption trend retrospective analysis. |
| Association Analysis Capability | ≥10 million entries/day (cross-system) | Standard platform: ≤1.2 million entries | Sub-second pinpointing of cold leakage points, with accuracy improved by 4 times. |
| Multi-brand compatibility | Supports 28+ mainstream brand protocol libraries | Traditional approach: ≤5 brands | Seamlessly integrates with devices from multiple brands, reducing renovation costs and enhancing system flexibility. |
| Data Security | Supports encrypted transmission and storage, compliant with ISO 27001 standards. | Traditional Approach: Basic Encryption | Ensure data security and meet the stringent safety requirements of sectors such as finance and government. |
*Note: Calculated based on annual operating data of a 20MW data center
Product Advantages
High-Configuration Capability: Supports large-scale static point configuration, meeting the demands of large data centers.
Real-time Data Processing: Powerful dynamic data concurrency collection capabilities ensure real-time monitoring and rapid response.
Long-term Data Storage: Offers a data retention period of up to 900 days, ensuring reliable historical data analysis and fault tracing.
Deep Data Analysis: Efficient capability for metric correlation analysis, helping you optimize energy management and system performance.
Rapid Strategy Generation: AI-driven energy-saving strategies are developed in short cycles, ensuring swift responses to environmental changes and achieving optimal energy efficiency ratios.
Contact Us
For more details or inquiries, please visit our official website or contact our sales team. We look forward to providing you with professional solutions and services.
Address: No. 88, Suyuan Avenue, Jiangning Economic and Technological Development Zone, Nanjing
Tel:+86-025-84916609
Mobile:+8618061637872
Postcode: 211111
E-mail: trade@canatal.com.cn
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