Defrosting control method of evaporator, controller, refrigerating and freezing apparatus, and medium
By calculating the equivalent frost thermal resistance of each zone of the evaporator and the weight of the overall defrosting demand, the defrosting of the evaporator is precisely controlled, solving the problems of untimely or excessive defrosting, and improving the reliability of evaporator defrosting and the energy efficiency of the refrigeration system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- ICE KRYPTON EPOCH INTELLIGENT TECHNOLOGY (NANJING) CO LTD
- Filing Date
- 2026-03-31
- Publication Date
- 2026-06-12
AI Technical Summary
In existing technologies, evaporator defrosting control is not reliable enough, which can easily lead to problems such as untimely or excessive defrosting, affecting refrigeration efficiency and system stability.
By calculating the equivalent frost thermal resistance of each zone, and combining it with the current temperature inside the evaporator and the temperature threshold inside the evaporator, the weight of the comprehensive defrosting demand is determined, and the defrosting process of the evaporator is precisely controlled to avoid untimely or excessive defrosting.
This improves the reliability of evaporator defrosting, avoids untimely or excessive defrosting, and enhances the energy efficiency and stability of the refrigeration system.
Smart Images
Figure CN122191890A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of evaporator defrosting technology, and more specifically, to an evaporator defrosting control method, controller, refrigeration and freezing equipment, and medium. Background Technology
[0002] Frosting on the evaporator surface is a common and unavoidable phenomenon. When the evaporator surface temperature is below the air dew point temperature and below 0°C, water vapor in the air condenses on its surface and gradually forms a frost layer. The accumulation of frost significantly increases airflow resistance, reduces heat exchange efficiency, leads to decreased system cooling capacity and increased energy consumption, and in severe cases, may even cause equipment failure or affect the quality of stored goods. Therefore, regular and effective defrosting is a crucial step in ensuring the stable and efficient operation of the refrigeration system.
[0003] In related technologies, defrosting of the evaporator is initiated based on a pre-set fixed time interval. However, this can easily lead to problems such as failure to defrost in a timely manner or over-defrosting, resulting in low defrosting reliability. Summary of the Invention
[0004] The purpose of this application is to address the shortcomings of the prior art by providing a defrosting control method, controller, refrigeration and freezing equipment and medium for an evaporator, so as to solve the aforementioned technical problems in the related art.
[0005] To achieve the above objectives, the technical solutions adopted in the embodiments of this application are as follows: In a first aspect, embodiments of this application provide a defrosting control method for an evaporator, the method comprising: The equivalent frost thermal resistance of each zone is calculated based on the inlet dry-bulb temperature, outlet relative humidity, and evaporator surface temperature of the evaporator corresponding to each zone, wherein the zone is the cooling area of the evaporator. The comprehensive defrosting demand weight of each partition is determined based on the equivalent frost thermal resistance of each partition, the current storage temperature of each partition, and the storage temperature threshold of each partition. The evaporator is defrosted according to the comprehensive defrosting demand weight of each partition.
[0006] Optionally, the step of calculating the equivalent frost thermal resistance of each zone based on the inlet dry-bulb temperature, outlet relative humidity, and evaporator surface temperature of the evaporator corresponding to each zone includes: Based on the inlet dry-bulb temperature of the air, the outlet relative humidity of the air, and the surface temperature of the evaporator for each of the evaporators in the current sampling period, calculate the rate of change of frosting heat flux density for each of the partitions in the current sampling period; The equivalent frost thermal resistance of each partition is determined based on the rate of change of frost heat flux density of each partition.
[0007] Optionally, determining the equivalent frost thermal resistance of each of the partitions based on the rate of change of frost heat flux density of each partition includes: The equivalent frost thermal resistance of each partition is determined based on the frost heat flux density change rate of each partition, the current sampling period, the preset frost accumulation coefficient, the preset defrost removal coefficient, and the preset defrost heating power.
[0008] Optionally, determining the comprehensive defrosting demand weight for each partition based on the equivalent frost thermal resistance of each partition, the current internal temperature of each partition, and the internal temperature threshold of each partition includes: Based on the equivalent frost thermal resistance of each partition and the preset maximum equivalent frost thermal resistance, calculate the frost thermal resistance deviation index of each partition. Calculate the internal temperature deviation index of each partition based on the current internal temperature of each partition and the internal temperature threshold of each partition. Based on the historical data corresponding to each partition, the environmental temperature forecast for each partition in the future time period, and the temperature threshold of the reservoir in each partition, calculate the future heat load impact factor of each partition. The comprehensive defrosting demand weight of each zone is calculated based on the frost thermal resistance deviation index, the storage temperature deviation index, and the future heat load influence factor of each zone.
[0009] Optionally, the step of calculating the future heat load impact factor for each partition based on historical data corresponding to each partition, environmental temperature forecasts for each partition over a future time period, and storage temperature thresholds for each partition includes: Based on the historical data corresponding to each of the partitions, calculate the temperature change rate index and door opening frequency index for each of the partitions; Based on the environmental temperature forecast for each zone in the future time period, the storage temperature threshold for each zone, and the maximum allowable storage temperature deviation for each zone, calculate the forecast storage temperature deviation index for each zone. Based on the temperature change rate index, door opening frequency index, and predicted temperature deviation index of each zone, the future heat load influence factor of each zone is determined.
[0010] Optionally, the defrosting process of the evaporator based on the comprehensive defrosting demand weight of each of the partitions includes: Based on the comprehensive defrosting demand weight of each partition and the preset defrosting start threshold, at least one candidate defrosting partition is determined from the multiple partitions. Based on the comprehensive defrosting demand weight of each candidate defrosting partition, at least one candidate defrosting partition is sorted to obtain at least one sorted candidate defrosting partition. Based on the actual number of defrosting zones allowed to be defrosted simultaneously, defrosting is performed on the evaporator corresponding to at least one of the sorted candidate defrosting zones.
[0011] Optionally, the step of defrosting the evaporator corresponding to at least one of the sorted candidate defrosting zones according to the actual number of zones allowed to defrost simultaneously includes: Based on the comprehensive defrosting demand weight of each candidate defrosting zone and the preset defrosting start threshold, the adaptive defrosting heating power of each candidate defrosting zone is calculated. Based on the actual number of defrosting zones allowed to be defrosted simultaneously and the adaptive defrosting heating power of each candidate defrosting zone, the evaporators corresponding to at least one of the sorted candidate defrosting zones are defrosted in sequence.
[0012] Secondly, embodiments of this application also provide a controller, including: a memory and a processor, wherein the memory stores a computer program executable by the processor, and the processor executes the computer program to implement the defrosting control method for the evaporator described in any of the first aspects above.
[0013] Thirdly, this application also provides a refrigeration and freezing device, including: a storage box, the storage box having multiple partitions, an evaporator corresponding to each partition, a frost detection module corresponding to each evaporator, a temperature monitoring module corresponding to each evaporator, a defrosting heating module corresponding to each evaporator, and a controller; the frost detection module is used to collect the inlet dry-bulb temperature of the evaporator, the outlet relative humidity of the air, and the surface temperature of the evaporator; the temperature monitoring module is used to collect the current internal temperature of the partition; and the defrosting heating module is used to perform defrosting treatment on the evaporator. The evaporator, the frost detection module, the temperature monitoring module, and the defrosting heating module are all communicatively connected to the controller, and the controller is used to execute the defrosting control method of the evaporator described in any of the first aspects above.
[0014] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when read and executed, implements the defrosting control method for the evaporator described in any of the first aspects above.
[0015] The beneficial effects of this application are as follows: This application provides a defrosting control method for an evaporator. The method may include: calculating the equivalent frost thermal resistance of each zone based on the inlet dry-bulb temperature, outlet relative humidity, and evaporator surface temperature of each zone, where each zone is a refrigeration area of the evaporator; determining the comprehensive defrosting demand weight of each zone based on the equivalent frost thermal resistance, the current internal temperature of each zone, and the internal temperature threshold of each zone; and performing defrosting treatment on the evaporator based on the comprehensive defrosting demand weight of each zone. By calculating the equivalent frost thermal resistance of each zone, the frost layer's ability to hinder the evaporator's heat absorption capacity can be accurately quantified. Based on this, and combined with the current internal temperature and the internal temperature threshold of each zone, the comprehensive defrosting demand weight of each zone is determined, thus accurately obtaining the defrosting demand of each zone. Performing defrosting treatment on the evaporator based on these zone defrosting demands can avoid problems of untimely or excessive defrosting, improving the reliability of evaporator defrosting. Attached Figure Description
[0016] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.
[0017] Figure 1 This is a schematic diagram of the structure of a refrigeration and freezing device provided in an embodiment of this application; Figure 2 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 1 ; Figure 3 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 2 ; Figure 4 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 3 ; Figure 5 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 4 ; Figure 6 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 5 ; Figure 7 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 6 ; Figure 8 A schematic diagram of the structure of a defrosting control device for an evaporator provided in an embodiment of this application; Figure 9 This is a schematic diagram of the structure of a controller provided in an embodiment of this application. Detailed Implementation
[0018] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of this application, but not all embodiments.
[0019] Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.
[0020] In the description of this application, it should be noted that if the terms "upper", "lower", etc. appear to indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship that the product of this application is usually placed in, it is only for the convenience of describing this application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of this application.
[0021] Furthermore, the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Additionally, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0022] It should be noted that, where there is no conflict, the features in the embodiments of this application can be combined with each other.
[0023] This application provides a refrigeration and freezing device, including: a storage box, multiple partitions within the storage box, an evaporator corresponding to each partition, a frost detection module corresponding to each evaporator, a temperature monitoring module corresponding to each evaporator, a defrosting heating module corresponding to each evaporator, and a controller.
[0024] In practical applications, the evaporator is used to cool corresponding zones, which may include at least one refrigeration zone and at least one freezing zone.
[0025] Figure 1 This is a schematic diagram of the structure of a refrigeration and freezing device provided in an embodiment of this application, as shown below. Figure 1 As shown, each evaporator has a corresponding frosting detection module, temperature monitoring module, and defrosting heating module; the evaporator, frosting detection module, temperature monitoring module, and defrosting heating module are all communicatively connected to the controller. Figure 1 The number of the evaporator, frost detection module, temperature monitoring module, and defrosting heating module is merely an example, and it should be understood that the embodiments of this application do not impose specific limitations on this.
[0026] In this embodiment, the frost detection module is used to collect the dry-bulb temperature of the inlet air, the relative humidity of the outlet air, and the surface temperature of the evaporator; the temperature monitoring module is used to collect the current temperature inside the compartment; and the defrosting heating module is used to defrost the evaporator.
[0027] It should be noted that the controller can acquire the dry-bulb temperature of the evaporator inlet air, the relative humidity of the outlet air, the evaporator surface temperature, and the current temperature inside the evaporator zone, and control the defrosting heating module to perform defrosting on the evaporator accordingly. The specific steps executed by the controller can be referenced in the following evaporator defrosting control method.
[0028] This application also provides a defrosting control method for an evaporator, which is applied to a controller in a refrigeration and freezing equipment. The following is an explanation of the defrosting control method for an evaporator provided in this application.
[0029] Figure 2 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 1 ,like Figure 2 As shown, the method may include: S101. Calculate the equivalent frost thermal resistance of each zone based on the inlet dry-bulb temperature of the evaporator, the outlet relative humidity of the evaporator, and the surface temperature of the evaporator.
[0030] The partition is the refrigeration zone of the evaporator, and each partition has a corresponding evaporator.
[0031] In some implementations, the frost detection module corresponding to each evaporator collects and sends the inlet dry-bulb temperature of the air, the outlet relative humidity of the air, and the surface temperature of the evaporator to the controller. The controller can receive the inlet dry-bulb temperature of the air, the outlet relative humidity of the air, and the surface temperature of the evaporator, and calculate the equivalent frost thermal resistance of each zone accordingly.
[0032] It should be noted that the inlet air dry-bulb temperature refers to the air temperature before it enters the evaporator. The outlet air relative humidity refers to the degree of water vapor saturation of the air after it has passed through the cold evaporator and been cooled, and is then blown out. The evaporator surface temperature refers to the actual temperature of the evaporator surface.
[0033] In addition, the equivalent frost thermal resistance of each zone can also be called the equivalent frost thermal resistance of the cumulative frost thickness of the corresponding evaporator in each zone. The equivalent frost thermal resistance is an indicator used to quantify the ability of frost to hinder the evaporator's heat absorption capacity.
[0034] S102. Determine the comprehensive defrosting demand weight for each zone based on the equivalent frost thermal resistance of each zone, the current storage temperature of each zone, and the storage temperature threshold of each zone.
[0035] The overall defrosting demand weight of each zone is used to characterize the defrosting demand of each zone. A zone with a large overall defrosting demand weight indicates that the corresponding evaporator has a greater defrosting demand, while a zone with a small overall defrosting demand weight indicates that the corresponding evaporator has a smaller defrosting demand.
[0036] In some implementations, the temperature monitoring module of each zone is used to collect and send the current storage temperature of each zone to the controller; the controller can receive the current storage temperature of each zone and, based on the equivalent frost thermal resistance of each zone, the current storage temperature of each zone, and the storage temperature threshold of each zone, calculate and analyze in multiple dimensions to determine the comprehensive defrosting demand weight of each zone.
[0037] S103. Perform defrosting on the evaporator according to the comprehensive defrosting demand weight of each zone.
[0038] At least one evaporator can be defrosted simultaneously.
[0039] In this embodiment of the application, based on the overall defrosting demand weight of each zone, the evaporator with the larger overall defrosting demand weight is defrosted first, and then the evaporator with the smaller overall defrosting demand weight is defrosted, so as to achieve timely defrosting of the evaporators.
[0040] In summary, this application provides a defrosting control method for an evaporator. This method may include: calculating the equivalent frost thermal resistance of each zone based on the inlet dry-bulb temperature, outlet relative humidity, and evaporator surface temperature of each zone, where each zone is a refrigeration area of the evaporator; determining the comprehensive defrosting demand weight of each zone based on the equivalent frost thermal resistance, the current internal temperature of each zone, and the internal temperature threshold of each zone; and performing defrosting treatment on the evaporator based on the comprehensive defrosting demand weight of each zone. By calculating the equivalent frost thermal resistance of each zone, the frost layer's ability to hinder the evaporator's heat absorption can be accurately quantified. Based on this, and combined with the current internal temperature and the internal temperature threshold of each zone, the comprehensive defrosting demand weight of each zone is determined, thus accurately obtaining the defrosting demand of each zone. Performing defrosting treatment on the evaporator based on these zone defrosting demands can avoid problems of untimely or excessive defrosting, improving the reliability of evaporator defrosting.
[0041] Figure 3 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 2 ,like Figure 3 As shown, the process in S101 above, which calculates the equivalent frost thermal resistance of each zone based on the inlet dry-bulb temperature, outlet relative humidity, and evaporator surface temperature of the corresponding evaporator, may include: S201. Based on the inlet dry-bulb temperature of each evaporator, the outlet relative humidity of the air, and the surface temperature of the evaporator during the current sampling period, calculate the rate of change of frosting heat flux density for each zone during the current sampling period.
[0042] Among them, the rate of change of frost heat flux density is a key indicator used to measure the speed or severity of frost formation on an evaporator.
[0043] S202. Determine the equivalent frost thermal resistance of each zone based on the rate of change of frost heat flux density in each zone.
[0044] In some implementations, the historical equivalent frost thermal resistance of each zone at the previous moment is updated based on the rate of change of frost heat flux density of each zone, so as to obtain the equivalent frost thermal resistance of each zone at the current moment.
[0045] When there is no historical equivalent frost thermal resistance for each partition at the previous moment, the preset equivalent frost thermal resistance can be used as the historical equivalent frost thermal resistance for each partition at the previous moment.
[0046] It should be noted that determining the equivalent frost thermal resistance of each zone based on the rate of change of frost heat flux density in each zone can be understood as calculating the degree to which the frost thickness hinders the heat absorption of the evaporator based on the frost rate or frost severity of the corresponding evaporator in each zone.
[0047] Optionally, the process in S202 above, which determines the equivalent frost thermal resistance of each zone based on the rate of change of frost heat flux density in each zone, may include: The equivalent frost thermal resistance of each zone is determined based on the rate of change of frost heat flux density, the current sampling period, the preset frost accumulation coefficient, the preset defrost removal coefficient, and the preset defrost heating power.
[0048] In some implementations, a preset update formula is used to update the historical equivalent frost thermal resistance of the previous moment based on the change rate of frost heat flux density of each zone, the current sampling period, the preset frost accumulation coefficient, the preset defrost removal coefficient, and the preset defrost heating power, so as to obtain the updated equivalent frost thermal resistance of each zone, which is the equivalent frost thermal resistance of each zone at the current moment.
[0049] Optionally, the preset update formula can be expressed as:
[0050] in, This indicates the updated equivalent thermal resistance of the frost layer. This represents the historical equivalent thermal resistance of the frost layer at the previous moment. This represents the rate of change of frost heat flux density calculated in the current sampling period. Indicates the current sampling period. Indicates the cumulative frosting coefficient. Indicates the defrost clearance coefficient. This indicates the heat energy input to the evaporator for defrosting heating.
[0051] It should be noted that the frost accumulation coefficient is used to characterize the increase in thermal resistance caused by a unit of frost energy input, the defrost removal coefficient is used to characterize the decrease in thermal resistance caused by a unit of defrost energy input, and the defrost heating power is used to characterize the heat energy input to the evaporator by the defrost heating element per unit time. The defrost heating element can be an electric heating tube or a hot vapor defrost. The frost accumulation coefficient and the defrost removal coefficient can be determined by expert experience assignment, data fitting, and experimental calibration.
[0052] In summary, in this embodiment, the frost detection module monitors and calculates the rate of change of frost heat flux density in real time, dynamically updating the equivalent frost thermal resistance used to characterize the actual frost accumulation. This directly reflects the thermal resistance effect of frost on heat transfer efficiency, and is more accurate than judgment methods based on indirect parameters such as time and temperature difference.
[0053] Optionally, Figure 4 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 3 ,like Figure 4 As shown, the process in S102 above, which determines the comprehensive defrosting demand weight of each zone based on the equivalent frost thermal resistance of each zone, the current temperature inside the warehouse of each zone, and the temperature threshold inside the warehouse of each zone, may include: S301. Calculate the frost thermal resistance deviation index of each zone based on the equivalent frost thermal resistance of each zone and the preset maximum equivalent frost thermal resistance.
[0054] In some implementations, the equivalent frost thermal resistance of each zone is compared with the preset maximum equivalent frost thermal resistance to obtain the frost thermal resistance deviation index of each zone.
[0055] Among them, the frost layer thermal resistance deviation index is used to characterize the degree of deviation between the equivalent frost layer thermal resistance and the maximum equivalent frost layer thermal resistance.
[0056] S302. Calculate the storage temperature deviation index for each zone based on the current storage temperature of each zone and the storage temperature threshold of each zone.
[0057] In some implementations, the absolute difference between the current storage temperature of each zone and the storage temperature threshold of each zone is calculated; the ratio of this absolute difference to the maximum storage temperature value is then used to obtain the storage temperature deviation index of each zone.
[0058] S303. Based on the historical data corresponding to each zone, the environmental temperature forecast for each zone in the future time period, and the temperature threshold of each zone in the warehouse, calculate the future heat load impact factor of each zone.
[0059] The historical data for each zone may include: the average temperature change rate of the storage room during the same period in history, and the frequency of door openings during the same period in history.
[0060] In some implementations, based on historical data corresponding to each zone, environmental temperature forecasts for each zone in the future time period, and the storage temperature thresholds for each zone, the predicted storage temperature deviation is calculated by analyzing multiple dimensions such as storage temperature changes, door opening frequency, and predicted storage temperature deviation.
[0061] It is worth noting that each partition has a corresponding door, and when a user needs to take an item from a partition, they need to open the door of that partition.
[0062] In addition, the future heat load impact factor is used to determine the degree of heat load variation that a zone is expected to experience in the future.
[0063] S304. Calculate the comprehensive defrosting demand weight for each zone based on the frost layer thermal resistance deviation index, the warehouse temperature deviation index, and the future heat load influence factor of each zone.
[0064] In some implementations, a preset demand weighting calculation formula is used to calculate the comprehensive defrosting demand weight of each zone based on the frost thermal resistance deviation index of each zone, the storage temperature deviation index of each zone, the future heat load influence factor of each zone, and the preset first weighting coefficient.
[0065] Optionally, the preset demand weight calculation formula can be expressed as:
[0066] in, This indicates the weight of overall demand for face cream. This indicates that the thermal resistance of the frost layer deviates from the index. This indicates that the temperature inside the storage deviates from the index. This indicates the factors affecting short-term heat load in the future. Indicates the preset first weight coefficient and
[0067] It should be noted that the preset first weight coefficient can be obtained through expert experience, analytic hierarchy process, experimental calibration, or fitting of historical data.
[0068] Optionally, Figure 5 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 4 ,like Figure 5 As shown, the process in S303 above, which calculates the future heat load impact factor for each zone based on historical data corresponding to each zone, the environmental temperature forecast for each zone in the future time period, and the temperature threshold of the reservoir for each zone, may include: S401. Based on the historical data corresponding to each zone, calculate the temperature change rate index and the corresponding door opening frequency index for each zone.
[0069] In some implementations, the storage temperature change rate index for each zone is calculated based on the historical average storage temperature change rate for the same period in the historical data corresponding to each zone and a preset storage temperature change rate reference value. This process can be expressed by the formula:
[0070] in, The temperature change rate index is the index of the storage temperature. This represents the historical average rate of change in warehouse temperature for the same period. This indicates the preset reference value for the rate of change of storage temperature.
[0071] In some implementations, the number of times the door was opened in the same period in the historical data corresponding to each partition is processed in a special way with the preset maximum door opening frequency to obtain the door opening frequency index.
[0072] It should be noted that the temperature change rate index and the corresponding door opening frequency index of each zone can be calculated sequentially, or the temperature change rate index and the corresponding door opening frequency index of each zone can be calculated simultaneously. This application embodiment does not impose specific limitations on this.
[0073] S402. Calculate the forecast storage temperature deviation index for each zone based on the environmental temperature forecast for the future time period, the storage temperature threshold for each zone, and the maximum allowable storage temperature deviation for each zone.
[0074] The ambient temperature forecast for the future time period refers to the forecast of the ambient temperature at the installation location of the refrigeration and freezing equipment over a period of time in the future, and the unit can be degrees Celsius. For example, the future time period can be 1 hour, 3 hours, or 6 hours in advance.
[0075] In some implementations, the forecast reservoir temperature deviation index for each zone is calculated using the following formula:
[0076] in, To predict the storage temperature deviation index, This indicates a forecast of ambient temperature for a future period. Indicates the temperature threshold inside the storage room. This indicates the maximum permissible temperature deviation in the storage area.
[0077] S403. Based on the temperature change rate index, door opening frequency index, and forecast temperature deviation index of each zone, the future heat load influencing factor of each zone.
[0078] Among them, the future heat load influencing factor can also be called the future short-term heat load influencing factor.
[0079] In this application, the future heat load influence factor for each zone is calculated based on the temperature change rate index, door opening frequency index, predicted temperature deviation index, and a preset second weighting coefficient for each zone. This process is expressed by the following formula:
[0080] in, Indicates the factors affecting future heat load. Indicates the rate of change of storage temperature index. This indicates the frequency index of door opening. This indicates the predicted reservoir temperature deviation index. Indicates a preset second weighting coefficient and .
[0081] It should be noted that the preset second weight coefficient can be obtained through expert experience, analytic hierarchy process, experimental calibration, or fitting of historical data.
[0082] In practical applications, a high short-term heat load influencing factor indicates that a large load is expected in the future.
[0083] In summary, this application considers historical data on temperature variations during the same period, door opening frequency index, and future ambient temperature forecasts to quantify and generate a factor influencing short-term heat load. This factor is incorporated into defrosting demand decisions (calculation of comprehensive defrosting demand weights) and subsequent calculations of adaptive defrosting heating power and the actual number of zones allowed for simultaneous defrosting, enabling the system to be predictive. For example, before predicting high-load periods of frequent door openings or rising ambient temperatures, the system can adopt a more conservative defrosting strategy or appropriately increase defrosting completion to reserve more cooling capacity to cope with the upcoming load, thereby effectively mitigating temperature fluctuations and improving the system's adaptability to dynamic changes and operational stability.
[0084] Optionally, Figure 6 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 5 ,like Figure 6 As shown, the defrosting process of the evaporator in S103 above, based on the comprehensive defrosting demand weight of each zone, may include: S501. Based on the comprehensive defrosting demand weight of each partition and the preset defrosting start threshold, determine at least one candidate defrosting partition from multiple partitions.
[0085] It is worth noting that if the overall defrosting demand weight of a partition is greater than the preset defrosting activation threshold, then that partition is designated as a candidate defrosting partition. Therefore, at least one candidate defrosting partition can be identified from multiple partitions.
[0086] S502. Based on the comprehensive defrosting demand weight of each candidate defrosting partition, sort at least one candidate defrosting partition to obtain at least one sorted candidate defrosting partition.
[0087] In some implementations, at least one candidate defrosting partition is sorted in descending order based on the comprehensive defrosting demand weight of each candidate defrosting partition, resulting in at least one candidate defrosting partition after descending order sorting.
[0088] S503. Based on the actual number of defrosting zones allowed to be defrosted simultaneously, perform defrosting treatment on the evaporator corresponding to at least one candidate defrosting zone after sorting.
[0089] In this embodiment of the application, the average value of the future heat load influence factor of each zone is calculated to obtain the average future heat load influence factor; if the average future heat load influence factor is greater than the preset high load threshold, a conservative defrosting strategy is adopted, and the actual number of zones that can be defrosted at the same time is adjusted to be lower than the preset number of zones that can be defrosted at the same time; then, based on the actual number of zones that can be defrosted at the same time, the evaporators corresponding to at least one candidate defrosting zone after sorting are defrosted.
[0090] It should be noted that, for the evaporator after defrosting, the equivalent double-layer thermal resistance of its corresponding zone is reset to the preset initial value.
[0091] In summary, the controller, based on accurate equivalent frost layer thermal resistance, combined with the current warehouse temperature and predicted future heat load influencing factors, calculates the comprehensive defrosting demand weight for each zone. This identifies the zones that truly require defrosting—the candidate defrosting zones—and allows for initiating defrosting at the most appropriate time. This fundamentally avoids the problems of over-defrosting or under-defrosting caused by traditional timed defrosting or simple temperature difference defrosting, significantly reducing unnecessary defrosting heating energy consumption and substantially improving the overall system energy efficiency.
[0092] Optionally, Figure 7 A flowchart illustrating a defrosting control method for an evaporator provided in this application embodiment. Figure 6 ,like Figure 7 As shown, the process in S503 above, which involves defrosting the evaporator corresponding to at least one candidate defrosting zone after sorting based on the actual number of zones that can be defrosted simultaneously, may include: S601. Calculate the adaptive defrosting heating power of each candidate defrosting zone based on the comprehensive defrosting demand weight of each candidate defrosting zone and the preset defrosting start threshold.
[0093] In some implementations, the adaptive defrosting heating power of each candidate defrosting zone is calculated based on the comprehensive defrosting demand weight of each candidate defrosting zone, a preset defrosting start threshold, the frost thermal resistance deviation index of each candidate zone, the future heat load influence factor of each candidate zone, and a preset third weighting coefficient. This process can be expressed by the following formula:
[0094] in, Indicates candidate partitions Adaptive defrosting heating power Indicates candidate partitions The thermal resistance deviation of the frost layer is exponential. Indicates candidate partitions The overall demand weight for face creams This indicates the preset defrost activation threshold. Indicates candidate partitions Factors affecting the future short-term heat load Indicates a preset third weighting coefficient and .
[0095] It should be noted that the preset third weight coefficient can be obtained through expert experience, analytic hierarchy process, experimental calibration, or fitting of historical data.
[0096] In this embodiment, the defrosting process does not employ a fixed power. Instead, it dynamically calculates adaptive defrosting heating power using a nonlinear formula based on the specific conditions of each candidate defrosting zone (frost layer thermal resistance deviation index, comprehensive defrosting demand weight, and future heat load impact). When the frost layer is thick and the demand is urgent, the heating power is automatically increased for rapid defrosting; conversely, the power is reduced for gentle defrosting. This adaptive energy input method ensures effective frost removal while minimizing energy waste caused by overheating and potential thermal shock to the evaporator and refrigerant, achieving refined and optimized control of the defrosting process.
[0097] S602. Based on the actual number of defrosting zones allowed to be defrosted simultaneously and the adaptive defrosting heating power of each candidate defrosting zone, defrost the evaporator corresponding to at least one candidate defrosting zone after sorting in sequence.
[0098] Each candidate defrost zone has a separate defrost heating module.
[0099] In some implementations, the current batch of defrosting zones is determined from at least one candidate defrosting zones after sorting, based on the actual number of zones that can be defrosted simultaneously. Based on the adaptive defrosting heating power of the current batch of defrosting zones, the corresponding defrosting heating module is controlled to simultaneously defrost each evaporator in the current batch of defrosting zones. Then, based on the actual number of zones that can be defrosted simultaneously, the next batch of defrosting zones is determined from at least one candidate defrosting zones after sorting. The defrosting process for the evaporators corresponding to all candidate defrosting zones is completed.
[0100] It is important to note that each evaporator in this application is equipped with an independent defrosting heating module and decision logic. The controller can globally prioritize and decide on the defrosting needs of all zones, and flexibly adjust the number of zones defrosting simultaneously based on future short-term heat load influencing factors (e.g., adopting a conservative strategy to reduce the number of zones defrosting simultaneously when high loads are predicted). This zoned and sequential control method avoids the huge load impact and drastic temperature fluctuations on the refrigeration system caused by all evaporators defrosting simultaneously, minimizing the impact of the defrosting process on the main refrigeration function, and ensuring the stability of the internal temperature of the cold storage and the safety of the stored goods.
[0101] In this embodiment of the application, during the defrosting process of the evaporator, the surface temperature of the evaporator and its rate of change are monitored. When it is determined that the surface temperature of the evaporator reaches the preset defrosting termination temperature, or its rate of change is lower than the preset rate threshold, the defrosting process of the evaporator is terminated.
[0102] It should be noted that real-time monitoring of the evaporator surface temperature and its rate of change accurately determines the defrosting termination point, preventing insufficient defrosting or overheating and protecting critical components such as the evaporator. Precise on-demand defrosting also reduces the total number of defrosting cycles and ineffective operating time, lowering the mechanical and electrical losses of related actuators (such as electric heating elements and solenoid valves), thereby helping to extend the service life of the entire refrigeration system and reduce maintenance frequency and costs.
[0103] In summary, the embodiments of this application can accurately detect the frosting status in real time, control each zone independently, integrate the prediction of future heat load factors, and achieve energy-saving defrosting with adaptive defrosting rate adjustment. This ensures the cooling effect while minimizing defrosting energy consumption, maintaining stable storage temperature, and improving the overall energy efficiency and reliability of the system.
[0104] The following describes the defrosting control device, controller, and storage medium of the evaporator used to implement the defrosting control method of the evaporator provided in this application. For the specific implementation process and technical effects, please refer to the relevant content of the defrosting control method of the evaporator mentioned above, which will not be repeated below.
[0105] Figure 8 This is a schematic diagram of the structure of a defrosting control device for an evaporator provided in an embodiment of this application, as shown below. Figure 8 As shown, the device includes: The calculation module 101 is used to calculate the equivalent frost thermal resistance of each zone based on the inlet air dry-bulb temperature, outlet air relative humidity and evaporator surface temperature of each zone, wherein the zone is the refrigeration area of the evaporator. The determining module 102 is used to determine the comprehensive defrosting demand weight of each partition based on the equivalent frost layer thermal resistance of each partition, the current storage temperature of each partition, and the storage temperature threshold of each partition. The processing module 103 is used to perform defrosting processing on the evaporator according to the comprehensive defrosting demand weight of each partition.
[0106] Optionally, the calculation module 101 is specifically used to calculate the rate of change of frosting heat flux density of each zone in the current sampling period based on the dry-bulb temperature of the inlet air, the relative humidity of the outlet air, and the surface temperature of the evaporator of each zone in the current sampling period; and to determine the equivalent frost thermal resistance of each zone based on the rate of change of frosting heat flux density of each zone.
[0107] Optionally, the calculation module 101 is specifically used to determine the equivalent frost thermal resistance of each partition based on the frost heat flux density change rate of each partition, the current sampling period, the preset frost accumulation coefficient, the preset defrost removal coefficient, and the preset defrost heating power.
[0108] Optionally, the determining module 102 is specifically configured to: calculate the frost resistance deviation index of each partition based on the equivalent frost thermal resistance of each partition and the preset maximum equivalent frost thermal resistance; calculate the storage temperature deviation index of each partition based on the current storage temperature of each partition and the storage temperature threshold of each partition; calculate the future heat load impact factor of each partition based on the historical data corresponding to each partition, the environmental temperature forecast of each partition for the future time period, and the storage temperature threshold of each partition; and calculate the comprehensive defrosting demand weight of each partition based on the frost resistance deviation index, the storage temperature deviation index, and the future heat load impact factor of each partition.
[0109] Optionally, the determining module 102 is specifically used to calculate the storage temperature change rate index and the door opening frequency index of each partition based on the historical data corresponding to each partition; calculate the predicted storage temperature deviation index of each partition based on the environmental temperature forecast of each partition in the future time period, the storage temperature threshold of each partition, and the maximum allowable storage temperature deviation of each partition; and determine the future heat load influence factor of each partition based on the storage temperature change rate index, the door opening frequency index, and the predicted storage temperature deviation index of each partition.
[0110] Optionally, the processing module 103 is specifically configured to determine at least one candidate defrost partition from the plurality of partitions based on the comprehensive defrost demand weight of each partition and a preset defrost start threshold; sort the at least one candidate defrost partition according to the comprehensive defrost demand weight of each candidate defrost partition to obtain at least one sorted candidate defrost partition; and perform defrost processing on the evaporator corresponding to the at least one sorted candidate defrost partition according to the actual number of partitions allowed to defrost simultaneously.
[0111] Optionally, the processing module 103 is specifically used to calculate the adaptive defrosting heating power of each candidate defrosting zone based on the comprehensive defrosting demand weight of each candidate defrosting zone and the preset defrosting start threshold; and to perform defrosting processing on the evaporator corresponding to at least one of the sorted candidate defrosting zones in sequence according to the actual number of zones that can be defrosted simultaneously and the adaptive defrosting heating power of each candidate defrosting zone.
[0112] The above-described device is used to execute the method provided in the foregoing embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.
[0113] These modules can be one or more integrated circuits configured to implement the above methods, such as one or more Application Specific Integrated Circuits (ASICs), one or more digital signal processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs). Alternatively, when a module is implemented using processing element scheduler code, the processing element can be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. Furthermore, these modules can be integrated together as a system-on-a-chip (SOC).
[0114] Figure 9 A schematic diagram of the structure of a controller provided in an embodiment of this application is shown below. Figure 9 As shown, the controller includes: processor 201 and memory 202.
[0115] The memory 202 is used to store programs, and the processor 201 calls the programs stored in the memory 202 to execute the above method embodiments. The specific implementation and technical effects are similar, and will not be described in detail here.
[0116] Optionally, this application also provides a program product, such as a computer-readable storage medium, including a program that, when executed by a processor, performs the above-described method embodiments.
[0117] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0118] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0119] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in a combination of hardware and software functional units.
[0120] The integrated units implemented as software functional units described above can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0121] The above are merely preferred embodiments of this application and are not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.
Claims
1. A defrosting control method for an evaporator, characterized in that, The method includes: The equivalent frost thermal resistance of each zone is calculated based on the inlet dry-bulb temperature, outlet relative humidity, and evaporator surface temperature of the evaporator corresponding to each zone, wherein the zone is the cooling area of the evaporator. The comprehensive defrosting demand weight of each partition is determined based on the equivalent frost thermal resistance of each partition, the current storage temperature of each partition, and the storage temperature threshold of each partition. The evaporator is defrosted according to the comprehensive defrosting demand weight of each partition.
2. The method according to claim 1, characterized in that, The calculation of the equivalent frost thermal resistance of each zone based on the inlet dry-bulb temperature, outlet relative humidity, and evaporator surface temperature of the corresponding evaporator includes: Based on the inlet dry-bulb temperature of the air, the outlet relative humidity of the air, and the surface temperature of the evaporator for each of the evaporators in the current sampling period, calculate the rate of change of frosting heat flux density for each of the partitions in the current sampling period; The equivalent frost thermal resistance of each partition is determined based on the rate of change of frost heat flux density of each partition.
3. The method according to claim 2, characterized in that, The step of determining the equivalent frost thermal resistance of each partition based on the rate of change of frost heat flux density of each partition includes: The equivalent frost thermal resistance of each partition is determined based on the frost heat flux density change rate of each partition, the current sampling period, the preset frost accumulation coefficient, the preset defrost removal coefficient, and the preset defrost heating power.
4. The method according to claim 1, characterized in that, The determination of the comprehensive defrosting demand weight for each partition based on the equivalent frost thermal resistance of each partition, the current internal temperature of each partition, and the internal temperature threshold of each partition includes: Based on the equivalent frost thermal resistance of each partition and the preset maximum equivalent frost thermal resistance, calculate the frost thermal resistance deviation index of each partition. Calculate the internal temperature deviation index of each partition based on the current internal temperature of each partition and the internal temperature threshold of each partition. Based on the historical data corresponding to each partition, the environmental temperature forecast for each partition in the future time period, and the temperature threshold of the reservoir in each partition, calculate the future heat load impact factor of each partition. The comprehensive defrosting demand weight of each zone is calculated based on the frost thermal resistance deviation index, the storage temperature deviation index, and the future heat load influence factor of each zone.
5. The method according to claim 4, characterized in that, The step of calculating the future heat load impact factor for each partition based on historical data corresponding to each partition, environmental temperature forecasts for each partition over a future time period, and storage temperature thresholds for each partition includes: Based on the historical data corresponding to each of the partitions, calculate the temperature change rate index and door opening frequency index for each of the partitions; Based on the environmental temperature forecast for each zone in the future time period, the storage temperature threshold for each zone, and the maximum allowable storage temperature deviation for each zone, calculate the forecast storage temperature deviation index for each zone. Based on the temperature change rate index, door opening frequency index, and predicted temperature deviation index of each zone, the future heat load influence factor of each zone is determined.
6. The method according to claim 1, characterized in that, The defrosting process for the evaporator based on the comprehensive defrosting demand weight of each of the aforementioned zones includes: Based on the comprehensive defrosting demand weight of each partition and the preset defrosting start threshold, at least one candidate defrosting partition is determined from the multiple partitions. Based on the comprehensive defrosting demand weight of each candidate defrosting partition, at least one candidate defrosting partition is sorted to obtain at least one sorted candidate defrosting partition. Based on the actual number of defrosting zones allowed to be defrosted simultaneously, defrosting is performed on the evaporator corresponding to at least one of the sorted candidate defrosting zones.
7. The method according to claim 6, characterized in that, The step of defrosting at least one of the sorted candidate defrosting zones according to the actual number of zones allowed to defrost simultaneously includes: Based on the comprehensive defrosting demand weight of each candidate defrosting zone and the preset defrosting start threshold, the adaptive defrosting heating power of each candidate defrosting zone is calculated. Based on the actual number of defrosting zones allowed to be defrosted simultaneously and the adaptive defrosting heating power of each candidate defrosting zone, the evaporators corresponding to at least one of the sorted candidate defrosting zones are defrosted in sequence.
8. A controller, characterized in that, include: A memory and a processor, wherein the memory stores a computer program executable by the processor, and the processor executes the computer program to implement the defrosting control method for the evaporator according to any one of claims 1-7.
9. A refrigeration and freezing device, characterized in that, include: The storage box contains multiple partitions, an evaporator corresponding to each partition, a frost detection module corresponding to each evaporator, a temperature monitoring module corresponding to each evaporator, a defrost heating module corresponding to each evaporator, and a controller. The frost detection module is used to collect the inlet dry-bulb temperature, outlet relative humidity, and evaporator surface temperature of the evaporator. The temperature monitoring module is used to collect the current internal temperature of each partition. The defrost heating module is used to defrost the evaporator. The evaporator, the frost detection module, the temperature monitoring module, and the defrosting heating module are all communicatively connected to the controller, and the controller is used to execute the defrosting control method of the evaporator according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when read and executed, implements the defrosting control method for the evaporator according to any one of claims 1-7.