Medical refrigerator compressor cooling management system and method based on image recognition
Through image recognition technology, the heat distribution and temperature gradient of medical refrigerator compressors are identified and the air valve and air duct structures are dynamically adjusted, which solves the problem that existing systems are difficult to perceive heat distribution and energy consumption management and inadequate to different working conditions, and achieves more efficient cooling management and energy utilization.
CN119737715AActive Publication Date: 2025-04-01HONGTAI ELECTRIC APPLIANCES LAIZHOU CITY
Patent Information
- Application Number
- CN202510246277.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-04
- Publication Date
- 2025-04-01
- Estimated Expiration
- 2045-03-04
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Figure CN119737715A_ABST
Abstract
The present invention relates to the field of refrigeration control technology, specifically to a medical refrigerator compressor cooling management system and method based on image recognition, the system includes: a hot zone identification module, a temperature partition calculation module, a wind valve control module, an air duct optimization module, and an energy consumption evaluation module. In the present invention, the temperature value is extracted by infrared images, and the pixel temperature difference and temperature gradient analysis are combined to accurately identify the local heat concentration area, improve the heat source distribution perception ability, divide the temperature zone based on the temperature gradient and the arrangement of the heat dissipation fins, and generate temperature partition data, so that the cooling control dynamically matches the temperature difference, enhances the heat dissipation uniformity, combines the high temperature partition with the air duct outlet angle calculation, dynamically adjusts the air valve, realizes the accurate distribution of air volume, avoids insufficient or excessive cooling, and optimizes the air duct in combination with the air flow pressure gradient calculation to adjust the guide vane to make the cooling path more reasonable, calculates the energy consumption by the fan wind speed change rate, and optimizes the fan strategy in combination with historical data to reduce energy consumption.
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Citation Information
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