AI energy-saving solution for central air conditioning systems-Huazi Supercomputing

AI energy-saving solution for central air conditioning systems

The AI energy-saving solution for central air conditioning systems is based on an AI energy-saving end-side large model. It achieves cold load prediction, air-water linkage control, and global energy efficiency optimization. Through real-time self-learning and dynamic bias correction mechanisms, it continuously optimizes the operation strategy of the air conditioning system, simultaneously meeting environmental needs and the goal of minimum energy consumption, achieving energy saving and consumption reduction for the central air conditioning system. Energy Management Centralized Intelligent Control Platform Cloud Service

Programme advice

Scheme Download

Customer pain points

Smart Campus Solution IOC

Solution Architecture

Application Scenarios

Value of the plan

Related products

Solution architecture

Scheme Composition: Hardware

Solution Overview


Weather-adaptive control	End-point load control	Load prediction and matching	AI Energy-saving control system	Improve operational efficiency
Optimize the air conditioning system, automatically adjust according to the weather, reduce energy consumption, and improve control accuracy.	Utilize statistical data to establish a model, precisely control the air conditioning target, and achieve intelligent system control.	Predict the cooling load, intelligently match equipment output, ensure efficient system operation, and synchronize output with demand.	Comprehensive hardware and software control, intelligent energy saving, maximizing energy saving effects, and precise control of data center energy.	Solve the problem of low efficiency in central air conditioning systems, reduce energy consumption, and improve overall performance through optimized control.

Solution Value

Energy saving and cost reduction

The AI energy-saving control system, through energy consumption statistics, data analysis, and energy consumption planning functions, generates AI execution strategies to continuously optimize system parameters and achieve energy saving and cost reduction.

Extend equipment lifespan

Provides a visualized energy consumption bill to solve uncontrolled energy consumption management; remotely monitors the system's operating status, intelligent operation and maintenance reduces manual operation, automatically adjusts system operation, status monitoring optimizes equipment energy efficiency, fault warning avoids downtime, and automatic control achieves one-button start/stop, extending equipment lifespan.

Reduce the workload of operators

The AI energy-saving control system monitors the central air conditioning in real time, reducing the workload of operators and saving labor costs.

Environmental and social benefits

Through carbon reduction, it is equivalent to planting several trees, which has significant benefits for environmental protection; by reducing electricity consumption and reducing carbon dioxide emissions, it contributes to national energy security and environmental protection, and is an important aspect of reflecting the company's social benefits.

Reduce failure rate and maintenance costs

The AI energy-saving control system, through energy consumption statistics and real-time monitoring of equipment operating status, accurately predicts potential failures and automatically optimizes operating parameters, effectively reducing equipment failure rates, saving maintenance costs, extending the lifespan of core equipment components, effectively improving production benefits, and achieving energy saving and cost reduction.

Improve user management level

The AI energy-saving control system manages the air conditioning system, improves the operating efficiency of the equipment room, and ensures energy-saving effects.