Intelligent defrosting method and system for energy-saving variable frequency refrigeration and fresh-keeping equipment

Abstract

The present invention provides an intelligent defrosting method and system for energy-saving variable frequency refrigeration and fresh-keeping equipment, which relates to the technical field of refrigeration and fresh-keeping equipment. By integrating an acquisition module, a calculation module, a judgment module, a control module, a thermal fluorine defrost module, an ultrasonic cavitation jet module and an AI visual detection module, accurate and efficient defrosting operation is achieved, and the indoor return air temperature and the evaporator outlet surface temperature can be collected in real time, the frosting temperature difference can be calculated, and whether defrosting is needed can be determined based on the temperature difference. An adaptive defrosting control strategy is adopted to select the optimal defrosting time and area to reduce energy consumption. The thermal fluorine defrost technology is combined with variable frequency control to reduce heat generation and warehouse temperature fluctuations, while the ultrasonic cavitation jet technology accelerates frost shedding through sound pressure to achieve a water-saving and environmentally friendly defrosting effect. The AI ​​visual detection module integrates multiple technologies to accurately measure the frost layer and provide decision support for the control module. The system improves defrosting efficiency and reduces energy consumption.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigeration and fresh-keeping equipment, and in particular to an intelligent defrosting method and system for energy-saving variable-frequency refrigeration and fresh-keeping equipment. Background Art

[0002] With the accelerated pace of modern life, refrigeration and preservation equipment plays an increasingly important role in daily life and commercial applications. However, traditional refrigeration and preservation equipment is prone to frost accumulation during long-term use, which not only affects the refrigeration efficiency of the equipment, but also increases energy consumption and reduces the service life of the equipment. Therefore, the development of an energy-saving variable frequency refrigeration and preservation equipment that can automatically and efficiently defrost has become an urgent need for the current market and technological development.

[0003] The existing defrosting methods are mostly timed defrosting or temperature difference defrosting, which have the problems of high energy consumption, untimely defrosting or excessive defrosting. Summary of the invention

[0004] In order to overcome the problems of timed defrosting or temperature difference defrosting in the prior art, which have the advantages of high energy consumption, untimely defrosting or excessive defrosting, the present invention designs a travel route recommendation system based on tourist consumer portraits and psychological models, which can effectively solve the above technical problems.

[0005] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0006] An intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment, comprising:

[0007] A collection module is used to collect indoor return air temperature and evaporator outlet surface temperature;

[0008] A calculation module, used for calculating the frosting temperature difference;

[0009] A judgment module determines whether the frosting condition is met according to the frosting temperature difference;

[0010] A control module performs adaptive defrosting control according to the judgment result;

[0011] The hot fluorine defrost module uses hot fluorine defrost technology to defrost from the inside of the heat exchange tube;

[0012] Ultrasonic cavitation jet module uses ultrasonic cavitation jet technology for defrosting. The sound pressure causes the water flow to expand and rupture, generating a large number of fine bubbles to accelerate the shedding of frost.

[0013] The AI ​​visual detection module, based on AI visual detection, integrates ultrasonic ranging, UWB precise positioning and SLAM fusion to accurately measure the thickness of the frost layer and the distribution of the frosting area, realizes accurate measurement and control of the frost condition, and provides support for the control module to optimize the defrost strategy, including the defrost timing and method.

[0014] Preferably, the acquisition module includes:

[0015] The temperature sensor submodule is used to collect the indoor return air temperature and the evaporator outlet surface temperature in real time;

[0016] The data preprocessing submodule filters, calibrates and formats the collected temperature data to ensure the accuracy and reliability of the data;

[0017] The calculation module comprises:

[0018] The temperature difference calculation submodule calculates the temperature difference between the indoor return air temperature and the evaporator outlet surface temperature provided by the acquisition module, that is, the frosting temperature difference;

[0019] The threshold comparison submodule compares the calculated frosting temperature difference with a preset frosting threshold value to provide input for the judgment module.

[0020] Preferably, the judging module comprises:

[0021] A condition judgment submodule, which judges whether the frosting condition is met according to the comparison result between the frosting temperature difference provided by the calculation module and the threshold value;

[0022] The status recording submodule records the frosting condition judgment results and related temperature data for subsequent analysis and optimization.

[0023] Preferably, the control module comprises:

[0024] A strategy selection submodule selects a suitable adaptive defrosting strategy according to the result of the judgment module;

[0025] The execution control submodule sends control instructions to the hot fluorine defrost module and the ultrasonic cavitation jet module to perform a defrosting operation;

[0026] The monitoring feedback submodule monitors the defrost process in real time and adjusts the control strategy based on the feedback.

[0027] Preferably, the hot fluorine defrost module comprises:

[0028] Hot fluorine supply submodule, used for providing hot fluorine required for hot fluorine defrosting;

[0029] The frequency conversion control submodule adopts intelligent frequency conversion control technology to adjust the supply and temperature of hot fluorine according to the defrosting demand to reduce heat generation, reduce warehouse temperature fluctuations and power consumption;

[0030] The defrost monitoring submodule monitors the progress and effect of thermal fluorine defrosting to ensure that defrosting is thorough and efficient.

[0031] Preferably, the ultrasonic cavitation jet module comprises:

[0032] The sound wave generator submodule generates high-frequency sound waves for producing ultrasonic cavitation effect;

[0033] The water flow control submodule adjusts the flow rate and pressure of the water flow and cooperates with the sound wave generator to produce the best defrosting effect;

[0034] The bubble impact submodule uses sound pressure to expand and burst the water flow, generating fine bubbles, thus achieving efficient water-saving and natural and environmentally friendly defrosting effects.

[0035] Preferably, the AI ​​visual detection module includes:

[0036] An image acquisition submodule uses a camera to acquire images of the evaporator surface;

[0037] The image processing submodule performs preprocessing, feature extraction and recognition on the collected images to measure the frost thickness and frosting area distribution;

[0038] The data fusion submodule integrates the data of ultrasonic ranging, UWB precise positioning and SLAM fusion to improve the accuracy and reliability of frost measurement;

[0039] The decision support submodule provides decision support for the control module and optimizes the defrosting strategy according to the frost measurement results.

[0040] An intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment comprises the following steps:

[0041] By collecting the indoor return air temperature and the evaporator outlet surface temperature, the frosting temperature difference is calculated to determine whether the frosting conditions are met;

[0042] Adaptive defrost control is performed based on the detected frosting conditions, including optimal defrost time control, and the area with low ambient temperature is selected for defrost control;

[0043] Adopt hot fluorine defrosting technology to defrost from the inside of the heat exchange tube;

[0044] Ultrasonic cavitation jet technology is used for defrosting. The sound pressure causes the water flow to expand and burst, generating a large number of fine bubbles, which accelerates the shedding of frost.

[0045] Based on AI visual detection, it integrates ultrasonic ranging, UWB precise positioning and SLAM fusion methods to accurately measure the thickness of the frost layer and the distribution of the frosted area, accurately monitor and control the frost conditions, and provide support for defrost control, including the timing and method of defrost.

[0046] An electronic device, comprising:

[0047] A memory storing executable program code;

[0048] a processor coupled to the memory;

[0049] The processor calls the executable program code stored in the memory to execute the intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment as described above.

[0050] A computer storage medium stores computer instructions, which, when called, are used to execute the intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment as described above.

[0051] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention collects the indoor return air temperature and the evaporator outlet surface temperature and calculates the frosting temperature difference, so as to judge whether the equipment meets the frosting conditions in real time and accurately, thereby avoiding the problem of untimely defrosting or excessive defrosting that may be caused by the traditional timed defrosting method. This intelligent judgment method not only improves the accuracy of defrosting, but also effectively reduces unnecessary energy consumption. Secondly, a defrosting method combining hot fluorine defrosting technology and ultrasonic cavitation jet technology is adopted. The hot fluorine defrosting technology defrosts from the inside of the heat exchange tube, combined with the intelligent defrosting frequency conversion control technology, which can effectively reduce heat generation. The ultrasonic cavitation jet technology uses sound pressure to expand and rupture the water flow to produce fine bubbles, thereby achieving efficient water-saving and natural and environmentally friendly defrosting effects. The combination of these two technologies not only improves the defrosting efficiency, but also further reduces energy consumption and environmental impact. In addition, this system also introduces an AI visual detection module, which can accurately measure the thickness of the frost layer and the distribution of the frosting area by integrating ultrasonic ranging, UWB precise positioning and SLAM fusion, and realize accurate measurement and control of the frost condition, which not only improves the accuracy and efficiency of defrosting, but also provides strong data support for optimizing the defrosting strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived based on the provided drawings without paying any creative work.

[0053] Figure 1 This is a structural diagram of an intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment;

[0054] Figure 2 The present invention is a step diagram of an intelligent defrosting method for energy-saving variable frequency refrigeration and preservation equipment. DETAILED DESCRIPTION

[0055] The drawings are for illustrative purposes only and should not be construed as limiting the present patent;

[0056] In order to better illustrate the present embodiment, some parts in the drawings may be omitted, enlarged or reduced, and do not represent the size of the actual product;

[0057] It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0058] The technical solution of the present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0059] Example 1

[0060] An intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment, such as Figure 1 As shown, including:

[0061] A collection module is used to collect indoor return air temperature and evaporator outlet surface temperature;

[0062] A calculation module, used for calculating the frosting temperature difference;

[0063] A judgment module determines whether the frosting condition is met according to the frosting temperature difference;

[0064] A control module performs adaptive defrosting control according to the judgment result;

[0065] The hot fluorine defrost module uses hot fluorine defrost technology to defrost from the inside of the heat exchange tube;

[0066] Ultrasonic cavitation jet module uses ultrasonic cavitation jet technology for defrosting. The sound pressure causes the water flow to expand and rupture, generating a large number of fine bubbles to accelerate the shedding of frost.

[0067] The AI ​​visual detection module, based on AI visual detection, integrates ultrasonic ranging, UWB precise positioning and SLAM fusion to accurately measure the thickness of the frost layer and the distribution of the frosting area, realizes accurate measurement and control of the frost condition, and provides support for the control module to optimize the defrost strategy, including the defrost timing and method.

[0068] The acquisition module comprises:

[0069] The temperature sensor submodule is used to collect the indoor return air temperature and the evaporator outlet surface temperature in real time;

[0070] The data preprocessing submodule filters, calibrates and formats the collected temperature data to ensure the accuracy and reliability of the data;

[0071] The calculation module comprises:

[0072] The temperature difference calculation submodule calculates the temperature difference between the indoor return air temperature and the evaporator outlet surface temperature provided by the acquisition module, that is, the frosting temperature difference;

[0073] The threshold comparison submodule compares the calculated frosting temperature difference with a preset frosting threshold value to provide input for the judgment module.

[0074] The calculated frosting temperature difference is compared with the preset frosting threshold. If the frosting temperature difference exceeds the threshold, it is determined that the equipment has been frosted and the defrosting operation needs to be started.

[0075] Threshold setting, the frost threshold is set according to the operating characteristics and environmental conditions of the equipment. It is usually an empirical value determined after multiple experiments and optimization.

[0076] Output signal, the comparison result is output in the form of a logic signal, that is, "yes" or "no", indicating whether the equipment meets the frosting conditions. This signal will serve as the input of the subsequent judgment module and control module.

[0077] The judging module comprises:

[0078] A condition judgment submodule, which judges whether the frosting condition is met according to the comparison result between the frosting temperature difference provided by the calculation module and the threshold value;

[0079] The status recording submodule records the frosting condition judgment results and related temperature data for subsequent analysis and optimization.

[0080] The status recording submodule is responsible for recording the results of each frosting condition judgment and related temperature data, including indoor return air temperature, evaporator outlet surface temperature, frosting temperature difference and judgment results. The recorded data can be used for subsequent system analysis and optimization to help users understand the operating status of the equipment and the defrosting effect.

[0081] The control module comprises:

[0082] A strategy selection submodule selects a suitable adaptive defrosting strategy according to the result of the judgment module;

[0083] The result of the input judgment module, the actual operating data of the equipment and the environmental conditions are input, and the optimal defrost control strategy is calculated based on the input data and the preset defrost strategy and algorithm.

[0084] Output the selected defrost control strategy parameters, such as defrost mode, defrost time, defrost temperature, etc.

[0085] The execution control submodule sends control instructions to the hot fluorine defrost module and the ultrasonic cavitation jet module to perform a defrosting operation;

[0086] Command types include start commands, operating parameter adjustment commands, and stop commands.

[0087] The instruction content sets the working mode, working time, working temperature, etc. of the hot fluorine defrost module and the ultrasonic cavitation jet module according to the defrost control strategy parameters.

[0088] The monitoring feedback submodule monitors the defrost process in real time and adjusts the control strategy based on the feedback.

[0089] Monitoring content: defrost module status, including the start, operation and stop status of the thermal fluorine defrost module and ultrasonic cavitation jet module.

[0090] Defrosting effect, monitor the equipment status after defrosting through temperature sensors, humidity sensors, etc., equipment operating parameters, including key parameters such as temperature, humidity, and pressure.

[0091] Feedback adjustment, real-time adjustment, according to the monitoring data, timely adjust the defrost control strategy parameters, such as extending or shortening the defrost time, adjusting the defrost temperature, etc.

[0092] Early warning and alarm: when the monitoring data exceeds the preset range, the early warning or alarm mechanism is triggered to remind the operator to take measures.

[0093] The thermal fluorine defrost module comprises:

[0094] Hot fluorine supply submodule, used for providing hot fluorine required for hot fluorine defrosting;

[0095] Directly utilize the hot fluorine in the refrigeration system cycle, by adjusting the operation mode of the refrigeration system, the refrigerant reaches the appropriate temperature during the circulation process, and then is used for defrosting. In some cases, it may be necessary to use an additional heating device to heat the refrigerant to meet the temperature requirements required for defrosting.

[0096] The frequency conversion control submodule adopts intelligent frequency conversion control technology to adjust the supply and temperature of hot fluorine according to the defrosting demand to reduce heat generation, reduce warehouse temperature fluctuations and power consumption;

[0097] Monitor the defrost demand, monitor the frost thickness, temperature and other parameters on the evaporator through sensors, judge the defrost demand, adjust the hot fluorine supply, and adjust the speed and working status of the compressor, condenser and other components through the inverter according to the defrost demand, thereby changing the supply and temperature of the hot fluorine.

[0098] The defrost monitoring submodule monitors the progress and effect of thermal fluorine defrosting to ensure that defrosting is thorough and efficient.

[0099] Frost thickness: The sensor monitors the change in frost thickness on the evaporator to determine the defrosting progress.

[0100] Temperature distribution: monitor the temperature distribution on the evaporator surface to ensure uniform and thorough defrosting.

[0101] Defrost time, records the duration of the defrost process for subsequent analysis and optimization.

[0102] The ultrasonic cavitation jet module comprises:

[0103] The sound wave generator submodule generates high-frequency sound waves for producing ultrasonic cavitation effect. The sound wave generator converts electrical energy into mechanical energy through internal piezoelectric ceramics or magnetostrictive elements to generate high-frequency sound waves. The frequency of these sound waves is usually above 20kHz, which is sufficient to produce significant cavitation effect.

[0104] The water flow control submodule adjusts the flow rate and pressure of the water flow and cooperates with the sound wave generator to produce the best defrosting effect;

[0105] It includes a water flow regulating valve and a pressure regulating valve, which are used to accurately control the flow and pressure of water. The water flow regulating valve can adjust the water flow rate according to the defrosting requirements to ensure the stability of the water flow. The pressure regulating valve is used to adjust the water flow pressure to cooperate with the sound wave generator to produce the best defrosting effect. Through the PID control algorithm, the water flow control submodule can automatically adjust the water flow parameters to adapt to different defrosting scenarios.

[0106] The bubble impact submodule uses sound pressure to expand and burst the water flow, generating fine bubbles, thus achieving efficient water-saving and natural and environmentally friendly defrosting effects.

[0107] The high-frequency sound waves generated by the sound wave generator form a cavitation effect in the water, which expands and eventually bursts the bubbles in the water flow through sound pressure. The burst bubbles generate a strong impact force in an instant. The impact force of these fine bubbles can effectively break and peel off the frost layer attached to the surface of the evaporator. By optimizing the size and distribution of bubbles, the bubble impact submodule can achieve efficient water-saving and natural and environmentally friendly defrosting effects while reducing damage to the evaporator surface.

[0108] The AI ​​visual inspection module includes:

[0109] An image acquisition submodule uses a camera to acquire images of the evaporator surface;

[0110] It includes at least one high-definition camera installed near the evaporator of the refrigeration and preservation equipment, which is used to collect images of the evaporator surface in real time. The camera has automatic focus and dimming functions, and can obtain clear image data under different lighting conditions. The image acquisition frequency can be adjusted according to actual needs to ensure real-time monitoring of frost layer changes.

[0111] The image processing submodule performs preprocessing, feature extraction and recognition on the collected images to measure the frost thickness and frosting area distribution;

[0112] Advanced image processing algorithms are used to pre-process the collected images, including denoising, contrast enhancement, sharpening and other operations. The feature extraction step includes edge detection, morphological processing, etc. to identify the frost layer contour and frosted area. The identification step uses machine learning models or deep learning networks, such as convolutional neural networks (CNN), to accurately measure the frost layer thickness and frosted area distribution.

[0113] The data fusion submodule integrates the data of ultrasonic ranging, UWB precise positioning and SLAM fusion to improve the accuracy and reliability of frost measurement;

[0114] Integrate ultrasonic ranging, ultra-wideband (UWB) precise positioning and simultaneous localization and mapping (SLAM) technology to improve the accuracy and reliability of frost measurement.

[0115] Ultrasonic ranging data is used to measure the distance between the frost layer and the sensor.

[0116] UWB technology provides highly accurate time delay measurements that are used to determine the location of the frost layer.

[0117] SLAM technology builds environmental maps to achieve precise positioning of refrigeration and fresh-keeping equipment in space, thereby correcting and optimizing defrosting measurement data.

[0118] The decision support submodule provides decision support for the control module and optimizes the defrosting strategy according to the frost measurement results.

[0119] Based on the results of image processing and data fusion, the development trend of the frost layer and the defrosting requirements are analyzed. The decision support submodule provides the optimal defrosting strategy for the control module through preset algorithms and models, including the timing of defrosting and the selection of defrosting methods. It can also predict future frosting conditions and provide data support for equipment operation and maintenance.

[0120] Example 2

[0121] An intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment, such as Figure 2As shown, the following steps are included:

[0122] By collecting the indoor return air temperature and the evaporator outlet surface temperature, the frosting temperature difference is calculated to determine whether the frosting conditions are met;

[0123] Adaptive defrost control is performed based on the detected frosting conditions, including optimal defrost time control, and the area with low ambient temperature is selected for defrost control;

[0124] Adopt hot fluorine defrosting technology to defrost from the inside of the heat exchange tube;

[0125] Ultrasonic cavitation jet technology is used for defrosting. The sound pressure causes the water flow to expand and burst, generating a large number of fine bubbles, which accelerates the shedding of frost.

[0126] Based on AI visual detection, it integrates ultrasonic ranging, UWB precise positioning and SLAM fusion methods to accurately measure the thickness of the frost layer and the distribution of the frosted area, accurately monitor and control the frost conditions, and provide support for defrost control, including the timing and method of defrost.

[0127] An electronic device, comprising:

[0128] A memory storing executable program code;

[0129] a processor coupled to the memory;

[0130] The processor calls the executable program code stored in the memory to execute the intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment as described above.

[0131] A computer storage medium stores computer instructions, which, when called, are used to execute the intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment as described above.

[0132] Temperature collection and frost judgment: The indoor return air temperature and the evaporator outlet surface temperature are collected through the built-in temperature sensor. These data are sent to the calculation module to calculate the temperature difference between the two, that is, the frost temperature difference. Then, the judgment module determines whether the frost conditions are currently met based on the preset frost threshold.

[0133] Adaptive defrost control: once frosting conditions are detected, the system immediately starts adaptive defrost control. The control strategy includes the selection of the best defrost time, that is, selecting the area with lower ambient temperature for defrosting. If the internal temperature of a refrigerated preservation equipment is set to 4°C, then the time period when the ambient temperature is below 2°C may be considered as the "low ambient temperature" area. This value needs to be adjusted according to the actual situation and the specific requirements of the equipment to ensure that it can effectively defrost without negatively affecting the temperature control inside the refrigerated preservation equipment. At the same time, the system will avoid the time period with the lowest refrigeration capacity within a day to ensure that the defrost operation will not have a negative impact on the overall refrigeration effect of the equipment.

[0134] Hot fluorine defrost and intelligent frequency conversion control. During the defrosting process, the system uses hot fluorine defrost technology to defrost from the inside of the heat exchange tube. In order to further improve energy efficiency, the system combines intelligent defrosting frequency conversion control technology to adjust the supply and temperature of hot fluorine in real time according to defrosting needs. This intelligent control strategy effectively reduces heat generation, thereby effectively reducing warehouse temperature fluctuations during defrosting and significantly reducing power consumption.

[0135] Ultrasonic cavitation jet defrosting, in addition to hot fluorine defrosting, the system also uses ultrasonic cavitation jet technology for defrosting. The sound pressure causes the water flow to expand and burst, producing fine bubbles. These bubbles have strong instantaneous impact force and can accelerate the shedding of frost. This method is not only efficient and water-saving, but also meets the requirements of natural environmental protection. It is also equipped with an AI visual detection module, which integrates ultrasonic ranging, UWB precise positioning and SLAM fusion methods. It can accurately measure the thickness of the frost layer and the distribution of the frosting area. These data provide the system with accurate frost measurement and control information, which helps to optimize the defrosting strategy and improve the defrosting efficiency.

[0136] In order to implement the above-mentioned intelligent defrosting method, this embodiment also provides an electronic device, which includes a memory storing executable program code and a processor coupled to the memory. The processor calls the executable program code stored in the memory to execute the above-mentioned intelligent defrosting method. In addition, this embodiment also provides a computer storage medium, which stores computer instructions. When these instructions are called, they will execute the above-mentioned intelligent defrosting method.

[0137] The same or similar reference numerals correspond to the same or similar components;

[0138] The terms used in the drawings to describe positional relationships are only used for illustrative purposes and should not be construed as limiting this patent;

[0139] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the implementation methods of the present invention. For ordinary technicians in the relevant field, other different forms of changes or modifications can be made on the basis of the above description. It is not necessary and impossible to list all the implementation methods here. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. An intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment, characterized in that: include: A collection module is used to collect indoor return air temperature and evaporator outlet surface temperature; A calculation module, used for calculating the frosting temperature difference; A judgment module determines whether the frosting condition is met according to the frosting temperature difference; A control module performs adaptive defrosting control according to the judgment result; The hot fluorine defrost module uses hot fluorine defrost technology to defrost from the inside of the heat exchange tube; Ultrasonic cavitation jet module uses ultrasonic cavitation jet technology for defrosting. The sound pressure causes the water flow to expand and rupture, generating a large number of fine bubbles to accelerate the shedding of frost. AI visual detection module, based on AI visual detection, integrates ultrasonic ranging and UWB precise positioning and SLAM fusion methods, accurately measures the thickness of the frost layer and the distribution of the frost area, realizes accurate measurement and control of the frost condition, and provides support for the control module to optimize the defrost strategy, including defrost timing and defrost method; The control module comprises: The strategy selection submodule selects a suitable adaptive defrost strategy according to the result of the judgment module, inputs the result of the judgment module, the actual operation data of the equipment and the environmental conditions, calculates the optimal defrost control strategy according to the input data, and outputs the selected defrost control strategy parameters in combination with the preset defrost strategy and algorithm; The execution control submodule sends control instructions to the hot fluorine defrost module and the ultrasonic cavitation jet module to perform a defrosting operation; The monitoring feedback submodule monitors the defrost process in real time and adjusts the control strategy based on the feedback.

2. The intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment according to claim 1 is characterized in that: The acquisition module comprises: The temperature sensor submodule is used to collect the indoor return air temperature and the evaporator outlet surface temperature in real time; The data preprocessing submodule filters, calibrates and formats the collected temperature data to ensure the accuracy and reliability of the data; The calculation module comprises: The temperature difference calculation submodule calculates the temperature difference between the indoor return air temperature and the evaporator outlet surface temperature provided by the acquisition module, that is, the frosting temperature difference; The threshold comparison submodule compares the calculated frosting temperature difference with a preset frosting threshold value to provide input for the judgment module.

3. The intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment according to claim 1 is characterized in that: The judging module comprises: A condition judgment submodule, which judges whether the frosting condition is met according to the comparison result between the frosting temperature difference provided by the calculation module and the threshold value; The status recording submodule records the frosting condition judgment results and related temperature data for subsequent analysis and optimization.

4. The intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment according to claim 1 is characterized in that: The thermal fluorine defrost module comprises: Hot fluorine supply submodule, used for providing hot fluorine required for hot fluorine defrosting; The frequency conversion control submodule adopts intelligent frequency conversion control technology to adjust the supply and temperature of hot fluorine according to the defrosting demand to reduce heat generation, reduce warehouse temperature fluctuations and power consumption; The defrost monitoring submodule monitors the progress and effect of thermal fluorine defrosting to ensure that defrosting is thorough and efficient.

5. The intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment according to claim 1 is characterized in that: The ultrasonic cavitation jet module comprises: The sound wave generator submodule generates high-frequency sound waves for producing ultrasonic cavitation effect; The water flow control submodule adjusts the flow rate and pressure of the water flow and cooperates with the sound wave generator to produce the best defrosting effect; The bubble impact submodule uses sound pressure to expand and burst the water flow, generating fine bubbles, thus achieving efficient water-saving and natural and environmentally friendly defrosting effects.

6. The intelligent defrosting system for energy-saving variable frequency refrigeration and fresh-keeping equipment according to claim 1, characterized in that: The AI ​​visual inspection module includes: An image acquisition submodule uses a camera to acquire images of the evaporator surface; The image processing submodule performs preprocessing, feature extraction and recognition on the collected images to measure the frost thickness and frosting area distribution; The data fusion submodule integrates the data of ultrasonic ranging, UWB precise positioning and SLAM fusion to improve the accuracy and reliability of frost measurement; The decision support submodule provides decision support for the control module and optimizes the defrosting strategy according to the frost measurement results.

7. An intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment, characterized in that: The following steps are involved: By collecting the indoor return air temperature and the evaporator outlet surface temperature, the frosting temperature difference is calculated to determine whether the frosting conditions are met; Adaptive defrost control is performed based on the detected frosting conditions, including optimal defrost time control, and the area with low ambient temperature is selected for defrost control; Adopt hot fluorine defrosting technology to defrost from the inside of the heat exchange tube; Ultrasonic cavitation jet technology is used for defrosting. The sound pressure causes the water flow to expand and burst, generating a large number of fine bubbles, which accelerates the shedding of frost. Based on AI visual detection, it integrates ultrasonic ranging, UWB precise positioning and SLAM fusion methods to accurately measure the thickness of the frost layer and the distribution of the frosted area, accurately monitor and control the frost conditions, and provide support for defrost control, including the timing and method of defrost.

8. An electronic device, characterized in that: The electronic device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment as described in claim 7.

9. A computer storage medium, characterized in that The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the intelligent defrosting method for energy-saving variable frequency refrigeration and fresh-keeping equipment as described in claim 7.

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