[AI Intelligent Refining, Industry First Look] Issue 7｜GETECH AI HVAC Intelligent Control: Empowering Factories with 'Low-Carbon Genes'
At 3 a.m. in a semiconductor factory, the cooling pump in the HVAC room suddenly emitted an abnormal hum. The on-duty engineer's phone immediately received an intelligent anomaly alert: 'No. 3 cooling pump bearing worn, recommend switching to backup unit, estimated handling time 8 minutes.' Two years ago, the same fault had paralyzed the production line for 12 hours, resulting in losses exceeding one million yuan. This efficient, autonomous late-night rescue stems from GETECH's energy and carbon plant digitalization solution centered on HVAC AI optimization, which seems to endow equipment with 'autonomic reflex' capabilities. This solution has just won first prize in the intelligent manufacturing track of the 2025 'Data Element ×' competition Hubei division finals.
As is well known, HVAC room systems account for half of the auxiliary energy consumption in typical semiconductor factories. Composed of chillers, water pumps, cooling towers, and pipelines, these systems operate in联动 to produce chilled or hot water, which is delivered to clean rooms to maintain a constant temperature, humidity, and dust-free environment. For many plant engineers, managing HVAC systems is like searching for a switch in a dark room—multiple blockages are right in front of them, yet they remain unsolved:
Unperceived energy consumption black holes. Manual inspections are time-consuming and labor-intensive, energy consumption data reporting is lagging, and lack of equipment management leads to unnoticed waste.
Unpredictable sudden paralysis. Fault response times are exceeded, operational conditions cannot be accurately located, maintenance arrangements are untimely, affecting production scheduling and plans.
Decision-less energy consumption fog. Unclear energy consumption accounts, difficulty in assigning responsibility, lack of unified standards, ambiguous departmental responsibilities, making it hard to trace and attribute energy waste.
Unfounded operational strategies. Equipment operation strategies rely on manual experience, missing optimal decisions; data gaps and information delays prevent continuous energy optimization.
In response, GETECH developed the AI HVAC Intelligent Control high-efficiency plant room control platform, directly addressing core pain points in the泛 semiconductor industry such as low management efficiency, high equipment idling rates, inefficient fault response, and lack of access to energy optimization and operational strategy tuning. By directly connecting to plant room equipment or PLC control cabinets, it enables signal acquisition and data interaction. Based on real-time equipment operation data, characteristics, and conditions, combined with AI models and mechanistic model algorithms, it simulates and computes the optimal operation strategy for the plant room and issues real-time commands to achieve optimal efficient operation. The platform includes dozens of functions such as real-time energy efficiency monitoring, dynamic remote control, data analysis, operation algorithm optimization, online energy efficiency simulation, AI control optimization, and demand load forecasting, building real energy-saving benefits where 'every kilowatt-hour saved is reflected on the electricity bill.'
To date, GETECH's energy and carbon plant digitalization solution centered on HVAC AI optimization has served over 100 manufacturing factories, cumulatively reducing consumption by over 200 million yuan, lowering annual comprehensive energy consumption by 15%-20%, and improving management efficiency by 50%, making it a benchmark solution for industrial green transformation.
Key Values
AI HVAC Intelligent Control
Four optimization engines to maintain optimal HVAC system operation01 Algorithmic energy saving.
Based on equipment performance models combined with optimization algorithms, automatically寻找 and maintain system optimal values; 02 Global energy saving.
Conduct overall tuning from plant room to equipment end,挖掘 greater energy-saving potential for factories; 03 Full-cycle verification.
Run fair and clear energy-saving measurement methods on the cockpit interface, with energy-saving effects directly verified through electricity bills;
04 Accompanying operation and maintenance.
Full-lifecycle accompanying operation and maintenance ensures sustainable energy saving while挖掘 more energy-saving opportunities for customers.
Main Functions
AI HVAC Intelligent Control
High-efficiency plant room control platform, saving up to 20% annual electricity consumption
The platform具备 monitoring, control, reporting, analysis, predictive diagnosis, and AI energy-saving optimization capabilities, encompassing the basic functions of BAS/FMCS systems, greatly enhancing the flexibility and intelligence of HVAC optimization.
01 Visual energy usage态势 monitoring.
Intuitively display real-time operation status and key parameters of systems and equipment;
02 AI predictive diagnosis.
AI algorithms enable predictive fault diagnosis and provide resolution suggestions;
03 AI strategy energy-saving intelligent control.
AI optimization algorithms enable automatic control for high efficiency, energy saving, and unattended operation.
Additionally, it covers key functions such as annual energy efficiency cockpit, data analysis and report management, energy efficiency calendar, and one-click adjustment, helping customers build a new HVAC optimization experience with visible electricity meters, clear carbon accounts, and understandable AI.
Core Advantages
AI HVAC Intelligent Control
Helping enterprises become energy efficiency leaders
01 Comprehensive functions, low cost, fast delivery, high availability.
Not only does it possess the basic functions of common BAS/FMCS (points, configuration, alarms, reports), but it also combines expert experience and AI algorithms to achieve active optimization, unattended operation, and safe maintenance of high-efficiency plant rooms, focusing more on the vertical field of HVAC system energy-saving control.
02 Compatible with different brand hosts, wide application scenarios.
Self-developed multi-protocol adaptation engine with high versatility and compatibility, already compatible with equipment models from mainstream manufacturers such as Siemens, Trane, and McQuay. Compatible with different protocols, application scenarios are broader. The self-developed multi-protocol adaptation engine is compatible with over 95% of commonly used industrial protocols on the market, enabling plug-and-play equipment and solving protocol isolation issues.
03 Advanced algorithm capabilities and autonomous control integration.
Integrating LSTM load forecasting and dynamic optimization algorithms, it can perform system modeling based on physical laws for the entire system (water side + air side), conduct professional and comprehensive chiller performance predictions, and achieve 8760-hour system simulation with real-time dynamic identification and algorithm correction.
04 Real energy saving, making every kilowatt-hour saved visible on the bill.
Through energy usage profile diagnosis + AI strategy closed-loop execution, the system ensures that energy savings are measurable and verifiable.
Industry Practices
AI HVAC Intelligent Control
After GETECH introduced a全系统,全流程,数字智能化厂务管理系统 for a leading泛 semiconductor customer, based on business functions such as energy management (EMS), carbon management (CMS), equipment maintenance (EHM), environmental safety (EHS), and AI applications, the customer's management efficiency improved by 50%,集团 comprehensive energy costs decreased by over 200 million yuan, and cumulative carbon dioxide emissions were reduced by over 280,000 tons.
Focusing on HVAC AI optimization, for key high-energy-consuming equipment—HVAC systems—through AI algorithm models, mechanistic models, and other algorithm models, combined with technologies like cloud computing and IoT, it achieves precise intelligent control, real-time feedback, energy consumption prediction and simulation, automatic algorithm optimization strategy operation, and other capabilities. This helps enterprises achieve intelligent and efficient operation of HVAC systems and significantly reduce overall energy costs.
In the future, GETECH will continue to use advanced energy and carbon plant digitalization solutions to重构 the balance between manufacturing productivity and sustainable development, implant 'low-carbon genes' into more customer factories,刷新 the achievement of reducing carbon by 350,000 tons, and accelerate the green awakening of advanced manufacturing.
