In 2025, the AI intelligent industry is rising rapidly. GPT, DeepSeek, Doubao, MidJourney, etc. on the market have all become mainstream software in the AI industry, promoting economic development in all walks of life. Among them, the deep integration of AI and refrigeration will enable refrigerators and freezers to break through a new development journey.
The introduction of AI intelligent system into commercial refrigerators will create an unprecedented energy efficiency miracle. By collecting more than 200-dimensional data such as cabinet temperature, IT load, and environmental humidity in real time, it can monitor the stable operation of refrigeration equipment in real time for users, bringing convenience of energy saving and value reconstruction.
How to bring about a value-reconstructed cold chain transition?
AI reconstructs the value of the cold chain field, adjusts, changes or reshapes the existing value system to achieve significant improvement and transformation.
(1) Predictive intelligent refrigeration
Based on meteorological data, indoor and outdoor temperatures and computing power demand predictions, the system adjusts the operating parameters of the chiller two hours in advance to avoid the lag of traditional “responsive refrigeration”, sets the optimal temperature range in the box, and reduces energy waste.
(2) Phase change liquid cooling breakthrough
Through the reinforcement learning algorithm, the energy consumption of the refrigeration system is reduced by 30%, and at the same time, the equipment life is extended by 40%. This change is not only a technological upgrade, but also gives birth to a new business model. In the “refrigeration as a service” model, a liquid cooling solution that pays according to computing power is provided for global customers, and the initial investment cost of customers is reduced by 60%.
For mini refrigerators, power consumption savings are even greater. Due to their small size and precise control, they are also very convenient to use!
What is the precise protection from “safety bottom line” to “life guarantee”?
Vaccines used in medical refrigerators require high-precision and stable equipment for storage. Integration with AI can bring protection to the safety bottom line, which is mainly manifested in three aspects:
(1) Expiration date management
Set an expiration date. The system monitors the vaccine expiration date in real time and automatically warns batches that are about to expire, reducing the vaccine scrap rate from 5% to 0.3%.
(2) Abnormal behavior recognition
Monitor the operation of personnel in the cold chain room. When there is an abnormal behavior such as opening the door illegally, the system immediately triggers an audible and visual alarm and sends an abnormal report to the disease control center.
“Life guarantee” means that through AI to predict the peak demand for vaccines and dynamically adjust the refrigeration strategy of cold storage, the energy consumption of vaccine storage is reduced by 24%, and at the same time, the vaccine expiration date compliance rate is ensured to be 100%.
What are the advantages of deep integration scenarios of refrigeration?
1. The autonomous supervision program completes the specified tasks. For refrigerators, the tasks are accurate refrigeration temperature and low power consumption.
2. It has a cost reduction and efficiency increase plan to solve the thin industrial model with high cost and low profit.
3. It changes the old technological ecosystem of the traditional refrigeration industry and brings a brand-new technological upgrade!
Future industrial changes from “single-point innovation” to “system reconstruction”
(1) Space refrigeration
The AI refrigeration system not only realizes precise temperature control in a microgravity environment in the international space station in the refrigerator industry, reducing the failure rate of experimental equipment by 85%.
(2) Urban-level cold network
Integrate distributed energy and urban air conditioning loads, and optimize cold distribution through the virtual power plant model to reduce the regional PUE to 1.08.
(3) Bio-printing cold chain
In the field of regenerative medicine, the AI cold chain system precisely controls the temperature gradient in the 3D bio-printing process, increasing the cell survival rate from 60% to 92%.
Nenwell said that behind these scenarios is the deep reconstruction of the refrigeration industry by AI. It is predicted that by 2027, the global AI refrigeration market scale will exceed 300 billion US dollars, of which commercial refrigeration equipment will occupy 45% of the share. This change is not only a technological upgrade, but also a reshaping of the industrial ecosystem – from single-point innovation to system integration, bringing great convenience to humanity.
Post time: Apr-07-2025 Views: