High Energy Consumption & Sustainability Pressure
The rapid expansion of data centers has significantly increased energy demand. Cooling systems alone account for approximately 30–40% of total energy consumption, making energy efficiency optimization and carbon reduction key priorities for modern data center operations.
In typical scenarios, the total energy consumption of cooling systems accounts for more than 24%.In some traditional air-cooled data centers, it can reach 30%-50%.
Traditional water systems are not intelligent, not energy-efficient,unstable, and difficult to tune,resulting in suboptimal increased water resistance.
Relying on manual inspections, slow fault response, energy data dispersion, lack of integrated analysis,making it impossible to predict and identify potential issues in advance.
Higher proportion of renewable energy in the west, leveraging climate advantages and building collaboration to achieve data center free cooling.
As mission-critical infrastructure operating 24/7, data centers require continuous cooling to maintain optimal operating conditions for IT equipment. The constant heat load generated within server rooms places significant demands on the efficiency, reliability, and stability of cooling systems.HaiLin Controls provides a comprehensive data center cooling solution covering terminal control devices, PLC controllers, AI-driven optimization algorithms, and intelligent monitoring and operation platforms. Through integrated control, real-time monitoring, and intelligent optimization, the solution helps data centers achieve higher reliability, lower PUE, improved energy efficiency, and enhanced operations and maintenance performance.
Automate equipment management by monitoring operational statusand control operations.
Automate process control to achieve optimal operation of coolingequipment.
Automate energy management centered on energy-saving operations.
Automatically optimize operating conditions and combine the best adjustment strategies.
Relying on a highly reliable core product system, HaiLin Controls builds a solid safety foundation for data center operations, comprehensively ensuring the continuous and stable operation of equipment.With robust product capabilities, the system empowers data centers to achieve safe, stable, and efficient long-term operation
Integrates chiller load and water temperature setpoints to automatically adjust cooling unit capacity, ensuring adequate cooling.
Adaptive strategies leverage data to achieve continuous and precise optimization of resource allocation.
Based on outdoor temperature, it utilizes cooling towers and plate heat exchangers to dissipate heat, reducing indoor temperature.
Builds an energy-efficiency model through continuous learning to coordinate and optimize IT room infrastructure.
Precisely controls system linkage to ensure sufficient chilled water, preventing shortages and overcooling that cause high energy consumption.
Applies deep learning algorithms to identify optimal energy boundaries in complex environments and avoid local optima.
Hailin Smart Valve – Optimal Distribution, Hydraulic Balance
» The smart valve supports automatic control and operation, and can also be integrated into the system platform to realize graphical visualization of pipeline network balancing, intelligent regulation, and rebalancing functions.
» Through the built-in RS-485 communication interface, the valve supports networked centralized control.
HaiLin AI Expert Diagnosis (HAI-ED) is an intelligent fault diagnosis platform based on the deep integration of Generative Large Language Models (LLM) and Knowledge Graph technology, specifically designed to solve operation and maintenance challenges in Building Automation Systems (BAS).
Combines expert knowledge base and large language models to provide virtual interaction experience, accurately diagnose system issues, and offer intelligent O&M analysis; 24/7 expert-level decision support.
Supports natural language interaction and lightweight chat interface, helping O&M personnel quickly optimize data center energy efficiency and improve overall operational stability and maintenance quality.
Supports on-premise and cloud dual-mode deployment to meet the needs of different data center projects, ensuring convenience and data security.
Multi-device health status monitoring and early warning; interactive diagnostics with large models; accurately locate fault root causes and continuously optimize efficiency.
Integration of Safety • Energy Saving • Intelligent Operation & Maintenance
·PLC controllers support hardware-level redundancy, enabling fault response within seconds and real-time alarm notifications.
·Automatic failover to standby equipment and backup cooling units in the event of a failure, minimizing the risk of service interruption and ensuring continuous operation.
·24/7 environmental monitoring through temperature, humidity, water leakage, and other sensors, helping reduce risks associated with equipment aging, short circuits, and abnormal operating conditions.
·Changes in server loads in machine rooms lead to load changes inpower distribution, water systems, and chilled distribution systems,making it more efficient to match energy sources
·Early detection and forecasting of energy system anomalies toimprove the reliability of air conditioning equipment
·Build a "data-driven, intelligent analysis + strategy feedback"closed-loop control system
·Dynamic optimization of operations guidance + energy forecasting+ anomaly warning + behavior analysis and reporting
·Al-optimized control system with 24/7 expert operation,ensuring fully automated and energy-efficient operationof the cooling system
·Real-time monitoring of equipment operating data (voltage, current,temperature, etc.) and timely alarm notifications for faults
·Supports remote monitoring and parameter configuration toreduce on-site inspection and maintenance efforts
·Automatically generates equipment maintenance plans andrecords historical data to improve maintenance efficiency
Intelligent Cooling. Lower PUE. Greater Reliability.
Empowering the Next Generation of Sustainable Data Centers.
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