Air cooler fin defrosting method and system, intelligent terminal and storage medium

Abstract

The invention relates to an air cooler fin defrosting method and system, an intelligent terminal and a storage medium, and relates to the technical field of defrosting. The fin detection temperature of the air cooler fins is obtained based on the defrosting trigger signal; the fin detection temperature is analyzed to determine the fin frosting thickness of the air cooler fins; the fin detection temperature, the fin frosting thickness and the preset defrosting power are analyzed to determine the fin defrosting time; and controlling a preset defrosting device to defrost the air cooler fins according to the fin defrosting time. The control method has the effect of improving the control accuracy of defrosting of the fins of the air cooler.

Description

Technical Field

[0001] The present application relates to the technical field of defrosting, and in particular to a method, system, intelligent terminal and storage medium for defrosting fins of an air cooler. Background Art

[0002] The air cooler is a key component of the cold storage refrigeration system, including cooling heat exchange pipes, axial flow fans and liquid distributors. Among them, the cooling heat exchange pipes are the core components for achieving heat exchange, the axial flow fans are responsible for promoting air flow, and the liquid distributors are used to evenly distribute the refrigerant.

[0003] In related technologies, during the operation of the air cooler, the fins of the cooling heat exchange exhaust pipes serve as core heat exchange components and need to exchange heat with the air through low temperature. When the surface temperature of the fins is lower than the dew point temperature of the air, frost will gradually form on the surface of the fins. Therefore, electric heating tubes are usually installed between the fins for periodic defrosting. After power is turned on at a fixed cycle, heat is released to melt the frost on the fins, ensuring efficient heat exchange of the fins.

[0004] Regarding the above-mentioned related technologies, because the working conditions of the air cooler are different, the thickness of frost on the fins is different at different times. If the electric heating tube is energized for defrosting according to a fixed cycle, it is easy for the defrosting time to be too short, resulting in ineffective defrosting, or the defrosting time to be too long, resulting in dry burning of the fins. This results in low control accuracy of the defrosting of the air cooler fins, and there is room for improvement. Summary of the Invention

[0005] In order to improve the control accuracy of defrosting of air cooler fins, the present application provides an air cooler fin defrosting method, system, intelligent terminal and storage medium.

[0006] In a first aspect, the present application provides a method for defrosting fins of an air cooler, which adopts the following technical solution:

[0007] A method for defrosting fins of a cold air blower, comprising:

[0008] Obtain the defrost trigger signal of the cooling fan fins;

[0009] Acquiring the fin detection temperature of the cooling fan fin based on the defrost trigger signal;

[0010] Analyze the fin detection temperature to determine the frost thickness of the air cooler fins;

[0011] Analyze the fin detection temperature, fin frost thickness and preset defrost power to determine the fin defrost time;

[0012] The preset defrost device is controlled according to the fin defrost time to defrost the air cooler fins.

[0013] By adopting the above technical solution, the fin detection temperature is analyzed to obtain the fin frost thickness, and then the fin detection temperature, fin frost thickness and defrost power are calculated and analyzed to obtain the fin defrost time. The defrost device is controlled to defrost the air cooler fins based on the fin defrost time, ensuring effective defrosting without causing damage to the fins, thereby improving the control accuracy of the air cooler fin defrost.

[0014] Optionally, the step of analyzing the fin detection temperature to determine the frost thickness of the air cooler fins includes:

[0015] Analyze the fin detection temperature and the preset fin pre-frost temperature to determine the fin frosting temperature difference;

[0016] Analyze the fin detection temperature and the preset refrigerant evaporation temperature to determine the fin frosting and evaporation temperature difference;

[0017] Get the thermal conductivity of the frost layer;

[0018] The fin frosting temperature difference, fin frosting evaporation temperature difference, frost layer thermal conductivity and preset frost-free unit area total thermal resistance are analyzed to determine the fin frosting thickness.

[0019] By adopting the above technical solution, the fin frosting temperature difference, the fin frosting evaporation temperature difference, the frost layer thermal conductivity and the total thermal resistance per unit area without frost are analyzed and calculated to determine the fin frosting thickness. There is no need for too many sensors to detect the frost layer thickness, thereby improving the convenience and accuracy of determining the fin frosting thickness.

[0020] Optionally, the step of obtaining the thermal conductivity of the frost layer includes:

[0021] Get air detection temperature and relative humidity;

[0022] Analyze the air detection temperature, relative humidity, fin detection temperature and preset standard atmospheric pressure to determine the fin frost layer density;

[0023] Analyze the fin frost layer density and the preset ice crystal thermal conductivity to determine the frost thermal conductivity;

[0024] The thermal conductivity of frost and the preset thermal conductivity of air are analyzed to determine the thermal conductivity of the frost layer.

[0025] By adopting the above technical solution, the density of the frost layer on the fin and the thermal conductivity of the ice crystals are analyzed and calculated to determine the thermal conductivity of the frost. The thermal conductivity of the frost layer is then calculated based on the thermal conductivity of the frost and the thermal conductivity of the air. This takes into account the different thermal conductivities of frost layers of different densities, thereby improving the accuracy of the thermal conductivity of the frost layer.

[0026] Optionally, the step of analyzing the air detection temperature, relative humidity, fin detection temperature, and a preset standard atmospheric pressure to determine the fin frost layer density includes:

[0027] Determine the saturated water vapor partial pressure based on the relationship between the air detection temperature and the preset wet air properties;

[0028] Analyze the saturated water vapor partial pressure, relative humidity, standard atmospheric pressure and preset constant coefficient to determine the air moisture content;

[0029] The air moisture content, the fin detection temperature, the preset humidity positive correlation coefficient, the preset temperature negative correlation coefficient and the preset reference frost layer density are analyzed to determine the fin frost layer density.

[0030] By adopting the above technical solution, the air moisture content, fin detection temperature, humidity positive correlation coefficient, temperature negative correlation coefficient and benchmark frost layer density are calculated to determine the fin frost layer density. Taking into account that different air humidity leads to different structures of the frost layer, which affects the density of the frost layer, the accuracy of the fin frost layer density is improved.

[0031] Optionally, the step of analyzing the detected fin temperature, the fin frost thickness, and the preset defrost power to determine the fin defrost time includes:

[0032] Determining the fin frosting volume according to the fin frosting thickness and a preset thickness-volume relationship;

[0033] Get the fin frost density;

[0034] Analyze the fin frosting density and fin frosting volume to determine the fin frosting quality;

[0035] Analyze the fin frosting quality, fin detection temperature, preset frost layer specific heat capacity and preset freezing point temperature to determine the frost layer sensible heat;

[0036] Analyze the fin frost quality and the preset melting heat to determine the frost melting heat;

[0037] Analyze the fin detection temperature, freezing point temperature, preset fin mass and preset fin specific heat capacity to determine the fin sensible heat;

[0038] Analyze the sensible heat of the frost layer, the heat of frost melting, the sensible heat of the fins and the defrosting power to determine the basic defrosting time;

[0039] Analyze the basic defrost time to determine the fin defrost time.

[0040] By adopting the above technical solution, the sensible heat of the frost layer, the heat of frost melting, the sensible heat of the fins and the defrosting power are analyzed and calculated to determine the basic defrost time, and then the basic defrost time is corrected to obtain the fin defrost time, which ensures effective defrosting on the one hand and the quality and safety of frozen items on the other.

[0041] Optionally, the steps of analyzing the basic defrost time to determine the fin defrost time include:

[0042] Acquire images of frozen items;

[0043] Analyzing images of frozen items to determine the type of frozen items;

[0044] Determine the allowable temperature fluctuation value of the item based on the type of frozen item and the preset temperature fluctuation relationship of the item;

[0045] Analyze the allowable temperature fluctuation value of the items and the preset warehouse temperature rise value to determine the warehouse temperature safety constraint items;

[0046] Get the time correction factor for frozen items;

[0047] The basic defrost time, the time correction coefficient of frozen items and the storage temperature safety constraint item are analyzed to determine the fin defrost time.

[0048] By adopting the above technical solution, the basic defrost time is corrected according to the frozen item time correction coefficient and the storage temperature safety constraint item to obtain the fin defrost time, thereby ensuring that the temperature fluctuation in the cold storage does not exceed the threshold and will not cause quality problems for frozen items, thereby improving the accuracy of the fin defrost time.

[0049] Optionally, determining an item temperature sensitivity coefficient based on the type of frozen item and a preset item temperature sensitivity relationship;

[0050] Determine the item's humidity sensitivity coefficient based on the type of frozen item and a preset item humidity sensitivity relationship;

[0051] Determine the item respiration heat coefficient based on the type of frozen item and a preset item respiration heat relationship;

[0052] The temperature sensitivity coefficient, humidity sensitivity coefficient and respiration heat coefficient of the item are analyzed to determine the time correction coefficient for freezing the item.

[0053] By adopting the above technical solution, the temperature sensitivity coefficient of the item, the humidity sensitivity coefficient of the item and the respiratory heat coefficient of the item are calculated to obtain the time correction coefficient for freezing the item, thereby taking into account the influence of the item on temperature, humidity and respiratory heat on temperature, ensuring that the corrected defrost time will not cause the item to deteriorate, thereby improving the accuracy of the fin defrost time.

[0054] In a second aspect, the present application provides a fin defrosting system for an air cooler, which adopts the following technical solution:

[0055] A fin defrosting system for a cold air blower, comprising:

[0056] An acquisition module is used to obtain the defrost trigger signal and the fin detection temperature;

[0057] A memory for storing a program for a method for defrosting fins of an air cooler as described in any one of the above items;

[0058] The processor and the program in the memory can be loaded and executed by the processor to implement a method for defrosting fins of an air cooler as described in any one of the above items.

[0059] By adopting the above technical solution, the control processor loads and executes a program of a cold air machine fin defrosting method stored in the memory, so that the acquisition module obtains a series of data related to the cold air machine fin defrosting, thereby analyzing the fin detection temperature to obtain the fin frost thickness, and then calculating and analyzing the fin detection temperature, fin frost thickness and defrosting power to obtain the fin defrosting time, and controlling the defrosting device to defrost the cold air machine fins according to the fin defrosting time, ensuring effective defrosting without causing damage to the fins, thereby improving the control accuracy of the cold air machine fin defrosting.

[0060] In a third aspect, the present application provides a smart terminal that adopts the following technical solution:

[0061] An intelligent terminal includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes any one of the above-mentioned methods for defrosting fins of an air cooler.

[0062] By adopting the above technical solution and operating the intelligent terminal, the processor is made to load and execute a computer program for a defrosting method for the fins of an air cooler stored in the memory, thereby analyzing the fin detection temperature to obtain the fin frost thickness, and then calculating and analyzing the fin detection temperature, fin frost thickness and defrosting power to obtain the fin defrosting time. The defrosting device is controlled to defrost the air cooler fins according to the fin defrosting time, thereby ensuring effective defrosting without causing damage to the fins, thereby improving the control accuracy of the defrosting of the air cooler fins.

[0063] In a fourth aspect, the present application provides a computer storage medium capable of storing a corresponding program, which has the characteristic of facilitating improving the control accuracy of defrosting of air cooler fins, and adopts the following technical solution:

[0064] A computer-readable storage medium stores a computer program that can be loaded by a processor and executed by any of the above-mentioned air cooler fin defrosting methods.

[0065] By adopting the above technical solution, a computer program for a method for defrosting the fins of an air cooler is stored in a computer-readable storage medium, so that the processor loads and executes the computer program stored in the storage medium, thereby analyzing the fin detection temperature to obtain the fin frost thickness, and then calculating and analyzing the fin detection temperature, fin frost thickness and defrost power to obtain the fin defrost time, and controlling the defrost device to defrost the air cooler fins according to the fin defrost time, thereby ensuring effective defrosting without causing damage to the fins, thereby improving the control accuracy of the defrost of the air cooler fins.

[0066] In summary, this application includes at least one of the following beneficial technical effects:

[0067] 1. The fin frost thickness is obtained by analyzing the fin detection temperature, and then the fin detection temperature, fin frost thickness and defrost power are calculated and analyzed to obtain the fin defrost time. The defrost device is controlled based on the fin defrost time to defrost the air cooler fins, ensuring effective defrosting without damaging the fins, thereby improving the control accuracy of the air cooler fin defrost.

[0068] 2. The basic defrost time is determined by analyzing and calculating the sensible heat of the frost layer, the heat of frost melting, the sensible heat of the fins, and the defrost power. The basic defrost time is then corrected to obtain the fin defrost time, which ensures effective defrosting and the quality and safety of frozen items.

[0069] 3. The fin defrost time is obtained by correcting the basic defrost time according to the frozen item time correction coefficient and the storage temperature safety constraint item, thereby ensuring that the temperature fluctuation in the cold storage does not exceed the threshold and will not cause quality problems for the frozen items, thereby improving the accuracy of the fin defrost time. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 This is a flow chart of a method for defrosting fins of an air cooler in an embodiment of the present application.

[0071] Figure 2 This is a flow chart of the steps of analyzing the fin detection temperature to determine the fin frost thickness of the air cooler fin in an embodiment of the present application.

[0072] Figure 3 This is a flow chart of the steps for obtaining the thermal conductivity of the frost layer in an embodiment of the present application.

[0073] Figure 4 This is a flow chart of the steps of analyzing the air detection temperature, relative humidity, fin detection temperature and preset standard atmospheric pressure in an embodiment of the present application to determine the fin frost layer density.

[0074] Figure 5This is a flow chart of the steps of analyzing the fin detection temperature, fin frost thickness and preset defrost power in an embodiment of the present application to determine the fin defrost time.

[0075] Figure 6 This is a flow chart of the steps for analyzing the basic defrost time to determine the fin defrost time in an embodiment of the present application.

[0076] Figure 7 This is a flow chart of the steps for obtaining the time correction coefficient for frozen items in an embodiment of the present application. DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figures 1 to 7 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0078] Reference Figure 1 The present invention discloses a method for defrosting fins of a cooling fan, comprising the following steps:

[0079] Step S100: obtaining a defrost trigger signal for the cooling fan fins.

[0080] Among them, the defrost trigger signal refers to the signal to start defrosting the air cooler fins. In one embodiment, the processing terminal can start activating the defrost trigger signal at a fixed time, such as performing defrost once a day; in another embodiment, the operator can actively input the defrost trigger signal.

[0081] Step S101: obtaining the fin detection temperature of the air cooler fin based on the defrost trigger signal.

[0082] Among them, after the processing terminal receives the defrost trigger signal, the processing terminal responds to the defrost trigger signal to detect the fin detection temperature of the air cooler fin, providing data support for the subsequent determination of the thickness of the frost layer.

[0083] Fin detection temperature refers to the real-time temperature of the air cooler fins, which is detected by the temperature sensor installed in the fins and sent to the processing terminal.

[0084] Step S102: analyzing the detected fin temperature to determine the frost thickness of the air cooler fins.

[0085] The fin frost thickness refers to the thickness of the frost layer on the fin, which is determined by the processing terminal after analyzing the fin detection temperature. The specific analysis method is referred to Figure 2 steps.

[0086] Step S103: Analyze the detected fin temperature, fin frost thickness and preset defrost power to determine the fin defrost time.

[0087] Among them, defrost power refers to the minimum power value of the defrost device, which is determined by the operator based on actual conditions.

[0088] Fin defrosting time refers to the optimal time for defrosting the fins, which is determined by the processing terminal after analyzing the fin detection temperature, fin frost thickness and defrosting power. The specific analysis method is referred to Figure 5 steps.

[0089] Step S104: controlling a preset defrosting device to defrost the air cooler fins according to the fin defrosting time.

[0090] Among them, after determining the fin defrosting time, the processing terminal divides the total defrosting heat by the fin defrosting time to obtain the total power, and controls the defrosting device to defrost the air cooler fins with the total power within the fin defrosting time, on the one hand to ensure effective defrosting, on the other hand to ensure the quality of objects in the cold storage.

[0091] The defrost device refers to a device that defrosts the frost layer on the fins. It can use electric heating and is installed between the fins.

[0092] Reference Figure 2 The steps of analyzing the fin detection temperature to determine the fin frost thickness of the air cooler fin include:

[0093] Step S200: Analyze the detected fin temperature and the preset fin pre-frost temperature to determine the fin frosting temperature difference.

[0094] The fin pre-frost temperature refers to the stable temperature of the fin substrate, which is obtained by measuring the fin temperature when the equipment is initially frost-free.

[0095] Fin frosting temperature difference refers to the temperature difference before and after fin frosting. It is calculated by the processing terminal between the temperature before fin frosting and the fin detection temperature. This temperature difference is a key indicator for judging the severity of frost. The larger the temperature difference, the more severe the frost.

[0096] Step S201: Analyze the fin detection temperature and the preset refrigerant evaporation temperature to determine the fin frosting evaporation temperature difference.

[0097] Among them, the refrigerant evaporation temperature refers to the saturation temperature maintained by the refrigerant in the air cooler during the process of absorbing heat from liquid to gas, which is determined by the operator in accordance with the manual of the specific type of refrigerant.

[0098] The evaporation temperature difference due to fin frosting refers to the temperature loss corresponding to the total heat exchange resistance of the evaporator after frosting. It is obtained by calculating the difference between the fin detection temperature and the refrigerant evaporation temperature by the processing terminal. After frosting, the frost layer resistance becomes the main part of the total resistance, resulting in the temperature drop of heat transfer being mainly consumed in the frost layer, which is ultimately manifested as the evaporation temperature difference due to fin frosting. The smaller the temperature difference, the greater the total resistance and the thicker the frost layer.

[0099] Step S202: Obtaining the thermal conductivity of the frost layer.

[0100] Among them, the thermal conductivity of the frost layer refers to the thermal conductivity of the frost layer. The specific method of obtaining it is as follows: Figure 3 steps.

[0101] Step S203: Analyze the fin frosting temperature difference, the fin frosting evaporation temperature difference, the frost layer thermal conductivity and the preset frost-free unit area total thermal resistance to determine the fin frosting thickness.

[0102] Among them, the total thermal resistance per unit area in a frost-free state refers to the thermal resistance of the fin in a frost-free state, which is determined by the operator by calculating the sum of the thermal resistance of the fin substrate and the air convection thermal resistance.

[0103] The fin frosting thickness in this step is consistent with the fin frosting thickness in step S102. The processing terminal calculates the quotient of the fin frosting temperature difference and the fin frosting evaporation temperature difference, and then calculates the quotient and the product of the thermal conductivity of the frost layer and the total thermal resistance per unit area without frost to obtain the fin frosting thickness.

[0104] Reference Figure 3 , the steps to obtain the thermal conductivity of the frost layer include:

[0105] Step S300: Acquire the detected air temperature and relative humidity.

[0106] The air detection temperature refers to the temperature of the air, and the relative humidity refers to the humidity of the air, which are detected by a digital thermometer and hygrometer and sent to the processing terminal.

[0107] Step S301: Analyze the air detection temperature, relative humidity, fin detection temperature and preset standard atmospheric pressure to determine the fin frost layer density.

[0108] Here, standard atmospheric pressure refers to standard atmospheric pressure, taking 101325Pa as an example.

[0109] Fin frost density refers to the density of the frost layer on the fin, which is obtained by analyzing the air detection temperature, relative humidity, fin detection temperature and standard atmospheric pressure at the processing terminal. The specific analysis method is referred to Figure 4 steps.

[0110] Step S302: Analyze the fin frost layer density and the preset ice crystal thermal conductivity to determine the frost thermal conductivity.

[0111] The thermal conductivity of ice crystals refers to the thermal conductivity of pure ice, taking 0.00056 as an example.

[0112] Frost thermal conductivity refers to the thermal conductivity of frost in the frost layer, which is calculated by the processing terminal by multiplying the fin frost layer density and the thermal conductivity of ice crystals.

[0113] Step S303: Analyze the thermal conductivity of frost and the preset thermal conductivity of air to determine the thermal conductivity of the frost layer.

[0114] The thermal conductivity of air refers to the thermal conductivity of air, taking 0.024 as an example.

[0115] The thermal conductivity of the frost layer in this step is consistent with the thermal conductivity of the frost layer in step S202, and is obtained by calculating the sum of the thermal conductivity of frost and the thermal conductivity of air by the processing terminal.

[0116] Reference Figure 4 The steps of analyzing the air detection temperature, relative humidity, fin detection temperature and preset standard atmospheric pressure to determine the fin frost layer density include:

[0117] Step S400: determining the saturated water vapor partial pressure according to the relationship between the detected air temperature and a preset humid air property.

[0118] Among them, the relationship between the properties of moist air refers to the correspondence between different air temperatures and saturated water vapor partial pressures. For example, at 0 degrees Celsius, the corresponding saturated water vapor partial pressure is 610.7 Pa, and at 5 degrees Celsius, the corresponding saturated water vapor partial pressure is 872.1 Pa, etc. The operator forms a mapping table by mapping the air temperature and saturated water vapor partial pressure one by one.

[0119] The saturated water vapor partial pressure refers to the partial pressure of moist air when the water vapor reaches a saturated state at the current temperature, and is obtained by the processing terminal by searching in a mapping table corresponding to the relationship between moist air properties according to the air detection temperature.

[0120] Step S401: Analyze the saturated water vapor partial pressure, relative humidity, standard atmospheric pressure, and a preset constant coefficient to determine the air moisture content.

[0121] The constant coefficient is the product of the ratio of the molar mass of water vapor to the molar mass of dry air and the unit conversion coefficient, which is 622.

[0122] Air humidity refers to the mass of water vapor carried per unit of air. It is obtained by multiplying the first product of the relative humidity at the processing terminal and the saturated water vapor partial pressure, then calculating the difference between the standard atmospheric pressure and the first product. The quotient of the first product and the difference is multiplied by a constant coefficient to obtain the air humidity.

[0123] Step S402: analyzing the air humidity, the fin detection temperature, the preset humidity positive correlation coefficient, the preset temperature negative correlation coefficient and the preset reference frost layer density to determine the fin frost layer density.

[0124] Among them, the positive correlation coefficient of humidity is the correlation strength between humidity and frost layer density. The greater the moisture content of the air, the greater the frost layer density. In the embodiment of the present application, 1.2 is taken as an example.

[0125] The temperature negative correlation coefficient refers to the correlation strength between temperature and frost layer density. The lower the fin temperature, the smaller the frost layer density. The embodiment of the present application takes -2.5 as an example.

[0126] The reference frost layer density refers to the theoretical frost layer density when the air humidity and the fin temperature are both 0. In the embodiment of the present application, 110 is used as an example.

[0127] The fin frost density in this step is consistent with the fin frost density in step S301. The processing terminal calculates the first product of the air moisture content and the positive correlation coefficient of humidity, calculates the second product of the fin detection temperature and the negative correlation coefficient of temperature, and finally calculates the sum of the baseline frost density, the first product and the second product to obtain the fin frost density.

[0128] Reference Figure 5 The steps of analyzing the fin detection temperature, the fin frost thickness and the preset defrost power to determine the fin defrost time include:

[0129] Step S500: determining the fin frosting volume according to the fin frosting thickness and a preset thickness-volume relationship.

[0130] The thickness-volume relationship refers to the calculation formula between the frost layer thickness and the frost layer volume, which is the product of the fin surface area and the frost layer thickness.

[0131] Fin frosting volume refers to the volume of the frost layer on the fin, which is obtained by calculating the fin frosting thickness based on the thickness-volume relationship by the processing terminal.

[0132] Step S501: Obtain fin frost density.

[0133] The fin frost density refers to the density of the frost layer on the fin, which is consistent with the fin frost density in step S301 and will not be described in detail here.

[0134] Step S502: Analyze the fin frosting density and the fin frosting volume to determine the fin frosting quality.

[0135] The fin frosting mass refers to the mass of the frost layer on the fin, which is calculated by the processing terminal by multiplying the fin frosting density and the fin frosting volume.

[0136] Step S503: Analyze the fin frosting mass, the fin detection temperature, the preset frost layer specific heat capacity and the preset freezing point temperature to determine the sensible heat of the frost layer.

[0137] The specific heat capacity of the frost layer refers to the amount of heat required to raise the temperature of a unit mass of frost by 1 degree Celsius, with a value of 2.1 kJ / (kg.°C) as an example. The freezing point refers to the critical temperature at which frost melts, with a value of 0 degrees Celsius as an example.

[0138] The sensible heat of the frost layer refers to the heat required for the frost layer to rise from the fin detection temperature to the freezing point temperature. The processing terminal calculates the temperature difference between the freezing point temperature and the fin detection temperature, and then calculates the product of the frost mass on the fin, the specific heat capacity of the frost layer and the temperature difference to obtain the sensible heat of the frost layer.

[0139] Step S504: Analyze the fin frosting quality and the preset melting heat to determine the frost melting heat.

[0140] Among them, melting heat refers to the heat required to melt a unit mass of frost into water, taking 334KJ / kg as an example.

[0141] Frost melting heat refers to the heat required to melt the frost layer into water, which is calculated by the processing terminal by multiplying the fin frost mass and the melting heat.

[0142] Step S505: analyzing the fin detection temperature, the freezing point temperature, the preset fin mass and the preset fin specific heat capacity to determine the fin sensible heat capacity.

[0143] Fin mass refers to the weight of the fins, which is determined by the operator based on actual conditions. Fin specific heat capacity refers to the amount of heat required to raise the temperature of the fin per unit mass by 1 degree Celsius, which is determined by the operator based on the fin material manual.

[0144] Fin sensible heat refers to the heat required for the fin to rise from the fin detection temperature to the freezing point temperature. The processing terminal calculates the difference between the freezing point temperature and the fin detection temperature, and then calculates the product of the difference, the fin mass and the fin specific heat capacity.

[0145] Step S506: Analyze the sensible heat of the frost layer, the heat of melting the frost layer, the sensible heat of the fins and the defrosting power to determine the basic defrosting time.

[0146] Among them, the basic defrost time refers to the time when defrosting at the lowest power. The processing terminal calculates the sum of the sensible heat of the frost layer, the heat of frost melting, and the sensible heat of the fins to obtain the total heat, and then calculates the quotient between the total heat and the defrost power to obtain the basic defrost time.

[0147] Step S507: Analyze the basic defrost time to determine the fin defrost time.

[0148] The defrosting time of the fins in this step is consistent with the defrosting time of the fins in step S103, and is obtained by correcting the basic defrosting time according to the properties of the items in the cold storage by the processing terminal. For specific methods, refer to Figure 6 steps.

[0149] Reference Figure 6 , the steps of analyzing the basic defrost time to determine the fin defrost time include:

[0150] Step S600: Acquire an image of a frozen item.

[0151] The frozen item image refers to the image of the items in the cold storage, which is captured by a camera in the cold storage.

[0152] Step S601: Analyze the frozen object image to determine the type of the frozen object.

[0153] Among them, the type of frozen items refers to the type of items in the cold storage, such as ice cream, meat, and vegetables, which are obtained by feature extraction, classification and recognition of frozen item images using a trained convolutional neural network.

[0154] Step S602: determining the allowable temperature fluctuation value of the item according to the type of frozen item and the preset temperature fluctuation relationship of the item.

[0155] Among them, the temperature fluctuation relationship of items refers to the correspondence between different items and temperature fluctuations. For example, meat is allowed to fluctuate within 1 degree Celsius, and fresh fruits and vegetables are allowed to fluctuate within 0.5 degrees Celsius. The operator will correspond the items and temperature fluctuations one by one to form a mapping table.

[0156] The allowable temperature fluctuation value of an item refers to the maximum storage temperature fluctuation value allowed for the item, which is obtained by searching the mapping table corresponding to the item temperature fluctuation relationship according to the type of frozen item by the processing terminal.

[0157] Step S603: Analyze the allowable temperature fluctuation value of the item and the preset warehouse temperature rise value to determine the warehouse temperature safety constraint item.

[0158] The warehouse temperature rise value refers to the average temperature value of the warehouse temperature rise during defrosting, which is obtained by actual measurement and calculation of the average value.

[0159] The warehouse temperature safety constraint item refers to the coefficient that ensures that the defrost time does not cause the warehouse temperature to exceed the standard. It is obtained by calculating the quotient between the allowable temperature fluctuation value of the item and the warehouse temperature rise value by the processing terminal.

[0160] Step S604: Obtaining the time correction coefficient for frozen items.

[0161] Among them, the time correction coefficient of frozen items refers to the constraint coefficient of the temperature, humidity and respiratory heat of the items on the defrosting time. The specific method of obtaining it is referred to Figure 7 steps.

[0162] Step S605: Analyze the basic defrost time, the frozen goods time correction coefficient, and the storage temperature safety constraint item to determine the fin defrost time.

[0163] The fin defrost time in this step is consistent with the fin defrost time in step S507 and is obtained by calculating the product of the basic defrost time, the frozen item time correction coefficient and the storage temperature safety constraint item by the processing terminal.

[0164] Reference Figure 7 , the steps of obtaining the time correction coefficient of frozen items include:

[0165] Step S700: determining the item temperature sensitivity coefficient according to the frozen item type and a preset item temperature sensitivity relationship.

[0166] The temperature sensitivity relationship of an item refers to the correspondence between an item and a temperature sensitivity coefficient. For example, the temperature sensitivity coefficient of ice cream is 0.3, and that of meat is 0.6. The operator forms a mapping table by mapping the items to the temperature sensitivity coefficients one by one.

[0167] The item temperature sensitivity coefficient refers to the item's sensitivity to storage temperature fluctuations. The smaller the item temperature sensitivity coefficient, the more sensitive the item is to storage temperature fluctuations. The processing terminal searches the mapping table corresponding to the item temperature sensitivity relationship based on the type of frozen item.

[0168] Step S701: determining the humidity sensitivity coefficient of the item according to the type of the frozen item and a preset humidity sensitivity relationship of the item.

[0169] Among them, the humidity sensitivity relationship of items refers to the correspondence between items and humidity sensitivity coefficients. For example, the humidity sensitivity coefficient of green leafy vegetables is 0.5, the humidity sensitivity coefficient of apples is 0.8, and the humidity sensitivity coefficient of frozen meat is 1. The operator will form a mapping table by mapping the items and humidity sensitivity coefficients one by one.

[0170] The item humidity sensitivity coefficient refers to the sensitivity of the item to the fluctuation of warehouse humidity. The higher the sensitivity, the smaller the item humidity sensitivity coefficient. The processing terminal searches the mapping table corresponding to the item humidity sensitivity relationship according to the type of frozen item.

[0171] Step S702: determining the item respiration heat coefficient according to the type of frozen item and a preset item respiration heat relationship.

[0172] Among them, the item breathing heat relationship refers to the correspondence between items and their breathing heat coefficients. For example, frozen products and dry goods, which have no breathing heat, have a corresponding breathing heat coefficient of 1. Low breathing heat, such as apples, have a corresponding breathing heat coefficient of 0.8. High breathing heat, such as spinach, has a corresponding breathing heat coefficient of 0.6. The operator will form a mapping table by mapping the items and their breathing heat coefficients one by one.

[0173] The item breathing heat coefficient refers to the coefficient of influence of the item breathing heat on the storage temperature. The greater the breathing heat, the smaller the item breathing heat coefficient. The processing terminal can find the coefficient in the mapping table corresponding to the item breathing heat relationship according to the type of frozen item.

[0174] Step S703: Analyze the temperature sensitivity coefficient, humidity sensitivity coefficient, and respiration heat coefficient of the item to determine a time correction coefficient for freezing the item.

[0175] The freezing item time correction coefficient in this step is consistent with the freezing item time correction coefficient in step S604 and is obtained by calculating the product of the item temperature sensitivity coefficient, the item humidity sensitivity coefficient and the item breathing heat coefficient by the processing terminal.

[0176] Based on the same inventive concept, the present invention provides a fin defrosting system for a cold air blower, comprising:

[0177] An acquisition module is used to obtain a defrost trigger signal, fin detection temperature, frost layer thermal conductivity, air detection temperature, relative humidity, fin frost density, frozen item image, and frozen item time correction coefficient;

[0178] A memory for storing a program for a method for defrosting fins of a cooling fan;

[0179] The program in the memory can be loaded and executed by the processor to implement a method for defrosting fins of an air cooler.

[0180] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0181] An embodiment of the present application provides a computer-readable storage medium storing a computer program that can be loaded and executed by a processor for a method for defrosting fins of an air cooler.

[0182] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0183] Based on the same inventive concept, an embodiment of the present application provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded and executed by the processor for a method for defrosting fins of an air cooler.

[0184] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0185] The above are all preferred embodiments of the present application and are not intended to limit the scope of protection of this application. Unless otherwise stated, any feature disclosed in this specification (including the abstract and drawings) may be replaced by other equivalent or similar features. In other words, unless otherwise stated, each feature is merely an example of a series of equivalent or similar features.

Claims

1. A method for defrosting fins of a cold air blower, characterized in that: include: Obtain the defrost trigger signal of the cooling fan fins; Acquiring the fin detection temperature of the cooling fan fin based on the defrost trigger signal; Analyze the fin detection temperature to determine the frost thickness of the air cooler fins; Analyze the fin detection temperature, fin frost thickness and preset defrost power to determine the fin defrost time; The preset defrost device is controlled according to the fin defrost time to defrost the air cooler fins.

2. A method for defrosting fins of a cooling fan according to claim 1, characterized in that: The steps of analyzing the fin detection temperature to determine the fin frost thickness of the air cooler fin include: Analyze the fin detection temperature and the preset fin pre-frost temperature to determine the fin frosting temperature difference; Analyze the fin detection temperature and the preset refrigerant evaporation temperature to determine the fin frosting and evaporation temperature difference; Get the thermal conductivity of the frost layer; The fin frosting temperature difference, fin frosting evaporation temperature difference, frost layer thermal conductivity and preset frost-free unit area total thermal resistance are analyzed to determine the fin frosting thickness.

3. A method for defrosting fins of a cooling fan according to claim 2, characterized in that: The steps to obtain the thermal conductivity of the frost layer include: Get air detection temperature and relative humidity; Analyze the air detection temperature, relative humidity, fin detection temperature and preset standard atmospheric pressure to determine the fin frost layer density; Analyze the fin frost layer density and the preset ice crystal thermal conductivity to determine the frost thermal conductivity; The thermal conductivity of frost and the preset thermal conductivity of air are analyzed to determine the thermal conductivity of the frost layer.

4. A method for defrosting fins of an air cooler according to claim 3, characterized in that: The steps of analyzing the air detection temperature, relative humidity, fin detection temperature and a preset standard atmospheric pressure to determine the fin frost layer density include: Determine the saturated water vapor partial pressure based on the relationship between the air detection temperature and the preset wet air properties; Analyze the saturated water vapor partial pressure, relative humidity, standard atmospheric pressure and preset constant coefficient to determine the air moisture content; The air moisture content, the fin detection temperature, the preset humidity positive correlation coefficient, the preset temperature negative correlation coefficient and the preset reference frost layer density are analyzed to determine the fin frost layer density.

5. The method for defrosting fins of a cooling fan according to claim 1, characterized in that: The steps of analyzing the fin detection temperature, the fin frost thickness and the preset defrost power to determine the fin defrost time include: Determining the fin frosting volume according to the fin frosting thickness and a preset thickness-volume relationship; Get the fin frost density; Analyze the fin frosting density and fin frosting volume to determine the fin frosting quality; Analyze the fin frosting quality, fin detection temperature, preset frost layer specific heat capacity and preset freezing point temperature to determine the frost layer sensible heat; Analyze the fin frost quality and the preset melting heat to determine the frost melting heat; Analyze the fin detection temperature, freezing point temperature, preset fin mass and preset fin specific heat capacity to determine the fin sensible heat; Analyze the sensible heat of the frost layer, the heat of frost melting, the sensible heat of the fins and the defrosting power to determine the basic defrosting time; Analyze the basic defrost time to determine the fin defrost time.

6. A method for defrosting fins of a cooling fan according to claim 5, characterized in that: The steps for analyzing the basic defrost time to determine the fin defrost time include: Acquire images of frozen items; Analyzing images of frozen items to determine the type of frozen items; Determine the allowable temperature fluctuation value of the item based on the type of frozen item and the preset temperature fluctuation relationship of the item; Analyze the allowable temperature fluctuation value of the items and the preset warehouse temperature rise value to determine the warehouse temperature safety constraint items; Get the time correction factor for frozen items; The basic defrost time, the time correction coefficient of frozen items and the storage temperature safety constraint item are analyzed to determine the fin defrost time.

7. A method for defrosting fins of an air cooler according to claim 6, characterized in that: The steps to obtain the time correction factor for frozen items include: Determine the item temperature sensitivity coefficient based on the type of frozen item and the preset item temperature sensitivity relationship; Determine the item's humidity sensitivity coefficient based on the type of frozen item and a preset item humidity sensitivity relationship; Determine the item respiration heat coefficient based on the type of frozen item and a preset item respiration heat relationship; The temperature sensitivity coefficient, humidity sensitivity coefficient and respiration heat coefficient of the item are analyzed to determine the time correction coefficient for freezing the item.

8. A fin defrosting system for a cold air blower, characterized in that: include: An acquisition module is used to obtain the defrost trigger signal and the fin detection temperature; A memory for storing a program of a method for defrosting fins of an air cooler according to any one of claims 1 to 7; The program in the processor memory can be loaded and executed by the processor to implement a method for defrosting fins of an air cooler as claimed in any one of claims 1 to 7.

9. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a method for defrosting fins of an air cooler according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that A computer program is stored which can be loaded by a processor and executes a method for defrosting fins of an air cooler according to any one of claims 1 to 7.

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