Keywords
Intelligent wind pressure sensing detection
Intelligent temperature sensor
Lifting control
Submitted : 2025-08-05
Accepted : 2025-08-20
Published : 2025-09-04
Abstract
To improve the defrosting process of cold storage, a defrosting device with an intelligent detection function is proposed. Through the setting of the lifting mechanism, the up and down movement of the mobile shell can be realized, and then the use height of the ventilation pipe can be adjusted according to the actual situation, making the use more flexible. Through the cooperation among the mobile shell, opening, fan, ventilation pipe, water-passing ring, heat-conducting water pipe, water tank, pump body, water suction pipe, water outlet pipe, water return pipe and heating rod, the air in the ventilation pipe can be better heated, with good heating efficiency and excellent defrosting effect. Among them, the wind pressure sensor and temperature sensor can monitor the temperature and wind pressure in the ventilation pipe in real time. When the temperature is too high or the wind pressure is too large, the controller can adjust the heating temperature and air intake, thus ensuring the defrosting effect, saving electricity costs and improving the intelligent control level of the cold storage.
References
Liu Y, Wang F, Wu Z, et al., 2007, Heat Transfer Characteristics of R410A Finned Tube Evaporator Under Frosting Conditions. Journal of University of Shanghai for Science and Technology, 2007(6): 39–43.
Chen J, Lyu Y, 2023, Frost Detection Method for Cold Chain Refrigerators Based on Spiking Neural Network. Journal of Guangdong University of Technology, 40(6): 154–195.
Li R, Wu X, Wang W, 2005, Experimental Study on Frosting Phenomenon on Aluminum Surface. Journal of Thermal Science and Technology, 2005(4): 37–40.
Jin N, Li S, Zhang K, et al., 2010, Experimental Study on Frosting Performance of Two-Stage Compressed Air Source Heat Pump. Journal of Refrigeration, 2010(1): 10–14.
Zhang F, Wang W, Zhao Y, et al., 2010, Experimental Study on the Influence of Cold Surface Temperature on Frost Layer Characteristics During Dynamic Frosting Process. Proceedings of the 2009 Academic Conference on Heat and Mass Transfer of Chinese Society of Engineering Thermophysics, 2010(4): 127–180.
Liu B, Yang Y, Yang Z, 2004, Analysis of Low-Temperature Frosting Model and Influencing Factors. Journal of Refrigeration, 2004(4): 45–50.
Zhang F, Wang W, Zhao Y, et al., 2010, Experimental Study on the Influence of Cold Surface Temperature on Frost Layer Characteristics During Dynamic Frosting Process. Proceedings of the 2009 Academic Conference on Heat and Mass Transfer of Chinese Society of Engineering Thermophysics, 2010(4): 663–666.
Wu J, Chen J, 2022, Numerical Simulation and Experimental Study on Frosting Characteristics of Evaporator Under Low Temperature Conditions. Cryogenics, 2022(4): 189–194.
Huang Z, Wang J, Ding C, 2020, Research on New Intelligent Defrosting Control of Air Source Heat Pump Units. China New Technologies and Products, 2020(10): 70–71.
Li M, 2019, Development and Test of Evaporator Frost Detection Sensor, thesis, Huazhong University of Science and Technology.
Zhao Y, 1996, Discussion on Energy Saving of Hot Gas Defrosting for Cold Air Blowers. Refrigeration Technology, 1996(2): 28–31.
Liu E, Nan X, He Y, 2007, Study on Frosting Characteristics of Low-Temperature Cold Air Blowers and Improvement of Defrosting Methods. Journal of Refrigeration, 28(2): 56–60.
Wu G, Zang R, Sun Z, 2018, Study on Heat Transfer and Pressure Drop Characteristics of Cold Air Blowers Under Frosting Conditions. Cryogenics and Superconductivity, 46(11): 82–87 + 92.
Hao Y, Wu Z, Wang W, et al., 2009, Optimization of Electric Heating Defrosting in Cold Air Blower Defrosting Process. Cryogenics and Superconductivity, 37(7): 40–43.
Wang G, Sun B, Bao Y, et al., 2018, Research on Application of Differential Pressure Sensor in Refrigerator Defrosting Control. Proceedings of 2018 China Household Appliance Technology Conference, Beijing, 268–272.