Data Center/Intelligent Computing Center Industry Solutions and Cases

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Core Industry Pain Points
(1) Inadequate Energy Efficiency Under the 'Dual Carbon' context, data centers require a PUE ≤ 1.25. Traditional industrial frequency machines have high no-load/low-load losses, with efficiency <85% at 40% load and no-load losses exceeding 10%, resulting in annual electricity bills exceeding millions and failure to meet PUE standards.

(2) Low Power Density Traditional industrial frequency transformers are bulky and have low heat dissipation efficiency, with a power density <0.35kW/L. They occupy significant data center space, increase air conditioning cooling energy consumption, and hinder high-density deployment.

(3) Lagging Load Response AI servers and high-density cabinets experience millisecond-level load fluctuations. Traditional industrial frequency UPS systems have slow dynamic response, leading to output voltage deviations, server crashes, and resulting in data loss and interrupted computing power.

(4) High O&M Costs Data centers have numerous and widely distributed UPS units. Traditional O&M relies on manual labor, lacks centralized monitoring capabilities, and has no fault early warning. This results in a long Mean Time To Repair (MTTR) and high workload and costs for O&M personnel.

(5) Poor Compatibility Incompatible with high-voltage DC systems and modular data center architectures, making retrofitting difficult and unable to meet the expansion needs of intelligent computing centers.

Corresponding Solutions

(1) High-efficiency Energy-saving Solution Adopts DSP digital control technology, achieving 99.9fficiency in intelligent online mode and over 98% in ECO mode, reducing no-load loss by 60%, helping data centers achieve E ≤1.25, and saving over 50% of electricity annually.

(2) High-density Design Solution Optimizes the power frequency transformer structure, increasing power densityto over 0.8kW/L and reducing volume by 40%, minimizing data center space occupation and cooling energy consumption, and adapting to high-density cabinet deployment.

(3) Rapid Response Sution Optimizes control algorithms with a dynamic response time ≤1ms, precisely handling millisecond-level load fluctuations of AI servers, ensuring stable output voltage, preventing server downtime, and guaranteeinus computing power.

(4) Intelligent O&M Solution Equipped with a monitoring platform for centralized monitoring of multiple UPS units and remote maintenance, featuring predictive maintenance with fault warnin accuracy >90%, shortening MTTR to within 30 minutes, and reducing O&M costs by 60%.

(5) Compatible Expansion Solution Supports Nant parallel operation and on-demand expansion, is compatible with high-voltage DC systems, allows for modification without downtime, adapts to the expansion and upgrade needs of intelligent computing centers,modification costs.

Scope of Application
It covers various computing infrastructure facilities, including enterprise-level data centers, carrier intelligent computing centers, cloud computing centers, supercomputing centers, edge data centers, financial data centers, and government cloud server rooms. It is adapted to core scenarios such as server cabinets, storage equipment rooms, network switch rooms, AI computing clusters, and cloud host nodes, meeting the uninterrupted power supply needs of various computing loads, including servers, storage arrays, switches, routers, computing cards, and precision air conditioners.

Success Cases：