Self-sensing defrosting control method, system and equipment for refrigerator evaporator and medium

Abstract

The invention relates to a self-sensing defrosting control method, system, equipment and medium for a refrigeration storage evaporator, and the method comprises the steps: independently obtaining frost layer thickness data of different areas of the evaporator in real time through a plurality of sensing units which are arranged on the fin surface of the refrigeration storage evaporator in different areas; based on the obtained frost layer thickness data of each area, identifying a target defrosting area with the frost layer thickness exceeding a preset threshold value; and modular heating is started for the recognized target defrosting area, and directional defrosting operation is executed, so that conversion from timed integral defrosting to on-demand fixed-point defrosting is achieved, and the purposes of systematic energy efficiency loss and operation stability problems caused by inaccurate defrosting control in the cold storage industry are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of refrigeration, in particular to a self-sensing defrosting control method, system, device and medium for a cold storage evaporator. BACKGROUND

[0002] The frosting problem of the cold storage evaporator is a long-term technical problem faced by the refrigeration industry. Frost accumulation on the evaporator fin surface can significantly increase the thermal resistance, hinder air circulation, and cause a decrease in refrigeration efficiency and a sharp rise in energy consumption. Currently, the defrosting control strategies commonly used in the industry mainly rely on fixed time intervals or indirect parameters such as temperature and pressure. These methods have inherent limitations: the fixed time method cannot adapt to the dynamic change of the frosting rate, and is prone to cause insufficient or excessive defrosting; and the method based on indirect parameters, due to the lack of direct and accurate correspondence between the actual thickness of the frost layer and the control effect, is also not ideal. These two extensive control modes can cause the evaporator to form thick ice due to insufficient defrosting, or cause the temperature in the cold storage to fluctuate sharply and waste energy due to excessive defrosting. At the same time, frequent overall heating also accelerates the aging of the equipment. Therefore, developing an intelligent control method that can accurately sense the frost layer state and perform localized defrosting as needed has become an urgent technical requirement of the industry. SUMMARY

[0003] The main purpose of the present application is to provide a self-sensing defrosting control method, system, device and medium for a cold storage evaporator, which directly senses the frost layer thickness on the surface of the evaporator and accurately controls the defrosting energy in different regions, to realize the transition from timed overall defrosting to on-demand spot defrosting, and to solve the problem of system performance loss and operation stability caused by inaccurate defrosting control in the cold storage industry.

[0004] To achieve the above purpose, the present application provides a self-sensing defrosting control method for a cold storage evaporator, comprising the following steps: A plurality of sensing units arranged in different regions on the surface of the cold storage evaporator fins are used to obtain real-time and independent frost layer thickness data of different regions of the evaporator; Based on the obtained frost layer thickness data of each region, a target defrosting region whose frost layer thickness exceeds a preset threshold is identified; A modular heating is started for the identified target defrosting region to perform directional defrosting operation.

[0005] Further, the step of obtaining real-time and independent frost layer thickness data of different regions of the evaporator by arranging a plurality of sensing units in different regions on the surface of the cold storage evaporator fins comprises: At least one sensing unit independently arranged on each fin unit is used to collect the original thickness signal of the corresponding region of the frost layer; The original thickness signal is subjected to filtering and noise reduction processing to eliminate high-frequency interference caused by the operation of the cold storage equipment; convert the processed original thickness signal into frost thickness data of the corresponding area.

[0006] Further, based on the obtained frost thickness data of each area, the step of identifying target defrosting areas with frost thickness exceeding a preset threshold value comprises: comparing the frost thickness data of each area with a preset defrosting threshold value, which is set based on the working environment of the cold storage evaporator; According to the comparison result, a target defrosting area with the position of the area needing defrosting is generated.

[0007] Further, the step of generating a target defrosting area with the position of the area needing defrosting also comprises: According to the frost thickness value of each area in the target defrosting area, a defrosting priority ranking is performed to generate a regional defrosting sequence, wherein the defrosting priority is positively correlated with the frost thickness; In the regional defrosting sequence, at least one non-adjacent area defrosting operation is inserted between any two adjacent target defrosting areas in space.

[0008] Further, the step of starting the modular heating of the identified target defrosting area to perform the directional defrosting operation comprises: According to the frost thickness of the target defrosting area, the defrosting energy is calculated; According to the defrosting energy, the heating power and duration of the corresponding modular heating unit are determined; Start the corresponding modular heating unit of the target defrosting area, and control the modular heating unit to operate at the heating power for the duration.

[0009] Further, after the step of performing the directional defrosting operation, it further comprises: After the defrosting operation is completed, the frost thickness data of the corresponding area is obtained again through the sensing unit of the target defrosting area; If the frost thickness obtained again is higher than the defrosting termination threshold value, the directional defrosting operation on the target defrosting area is continued; If the frost thickness obtained again is lower than or equal to the defrosting termination threshold value, a defrosting termination instruction is generated to turn off the corresponding modular heating unit.

[0010] Further, the step of generating a defrosting termination instruction further comprises: Delay a preset drainage time, which is determined based on the structure characteristics of the cold storage evaporator and the environmental temperature; After the drainage time ends, the normal refrigeration operation of the cold storage evaporator is restored.

[0011] The present application also provides a self-sensing defrosting control system for a cold storage evaporator, comprising: a perception module for acquiring frost thickness data of different areas of the evaporator in real time and independently through a plurality of perception units arranged on the surface of the evaporator fins of the cold storage by area; a processing module for identifying a target defrosting area with frost thickness exceeding a preset threshold based on the acquired frost thickness data of each area; a control module for starting modular heating on the identified target defrosting area to perform directional defrosting operation.

[0012] The application also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the self-perception defrosting control method of the cold storage evaporator when executing the computer program.

[0013] The application also provides a computer readable storage medium storing a computer program, wherein the computer program implements the steps of the self-perception defrosting control method of the cold storage evaporator when executed by a processor.

[0014] The self-perception defrosting control method, system, device and medium of the cold storage evaporator provided by the application have the following beneficial effects: the application directly perceives the frost thickness to solve the control lag and misalignment caused by the traditional indirect inference method, and realizes real judgment of defrosting demand. On this basis, directional defrosting through the modular heating system changes the extensive mode of traditional overall heating, realizes precise energy delivery, and eliminates energy waste caused by excessive defrosting or insufficient defrosting. Through the partitioned closed-loop control and optimized execution sequence, not only can the impact of the defrosting process on the storage temperature be reduced to ensure the stability of the storage environment, but also the secondary frosting problem caused by heat bypass conduction can be effectively avoided. At the same time, since the evaporator is avoided from frequently experiencing severe cold and hot cycles, the thermal stress damage to the equipment is reduced, thereby helping to prolong the service life of the core components. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 is a flowchart of the self-perception defrosting control method of the cold storage evaporator in an embodiment of the application; Figure 2 is a structural block diagram of the self-perception defrosting control system of the cold storage evaporator in an embodiment of the application; Figure 3 is a structural schematic block diagram of the computer device in an embodiment of the application.

[0016] The implementation of the application, functional features and advantages will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0017] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0018] Referring to Figure 1 A flowchart of a self-sensing defrosting control method for a cold storage evaporator according to the present application is shown in the figure, which includes the following steps: S1, through the multiple sensing units arranged on the fin surface of the cold storage evaporator in different regions, real-time and independent acquisition of the frost thickness data of different regions of the evaporator; S2, based on the acquired frost thickness data of each region, identifying the target defrosting region whose frost thickness exceeds the preset threshold; S3, starting the modular heating for the identified target defrosting region and executing the directional defrosting operation.

[0019] In one embodiment, for step S1, The step of real-time and independent acquisition of the frost thickness data of different regions of the evaporator through the multiple sensing units arranged on the fin surface of the cold storage evaporator in different regions includes: Through at least one sensing unit independently arranged on each fin unit, collecting the original thickness signal of the corresponding region frost layer; Filtering and noise reduction processing is performed on the original thickness signal to eliminate the high-frequency interference of the cold storage equipment operation; The processed original thickness signal is converted into the frost thickness data of the corresponding region.

[0020] In a specific implementation, in view of the inherent defects in the traditional cold storage evaporator frost monitoring, such as sensing lag, insufficient accuracy, and sensor failure in harsh environments, the present application reconstructs and enhances the sensing system on the surface of the evaporator fins. Specifically, by independently setting at least one sensing unit (such as a high-frequency impedance sensor or an ultrasonic thickness sensor) on each fin unit, a distributed measurement network is constructed. Through this arrangement, the original thickness signal of the frost layer in the corresponding area is directly collected, avoiding the errors caused by the traditional method of calculating frost thickness through indirect parameters such as temperature and pressure. Moreover, to prevent the sensor sensing surface from icing due to low temperature and high humidity environment, or signal attenuation and distortion caused by oil stains and dust attachment, the present embodiment also introduces a self-cleaning mechanism for the sensing unit: which can include but is not limited to a miniature periodic pulse heating unit integrated with the sensor, which melts the surface ice layer by instant heating, or is supplemented by a micro-vibration structure to shake off the attachments, thereby ensuring the cleanliness of the sensing surface and the long-term reliability of the measurement. Due to the high-frequency electromagnetic and mechanical interference caused by the start-stop of the compressor and the operation of the fan in the cold storage environment, the original signal will be mixed with a large amount of noise, so further special filtering and noise reduction processing of the collected signal is needed. A digital filtering algorithm suitable for strong interference industrial environment is adopted to effectively eliminate high-frequency interference in specific frequency bands and ensure the authenticity of the signal. Through the establishment of a mapping model between the signal characteristic value and the physical thickness, the processed clean and stable signal is converted into accurate frost layer thickness data of the corresponding area.

[0021] In one embodiment, for step S2, Based on the acquired frost layer thickness data of each area, the step of identifying the target defrosting area whose frost layer thickness exceeds the preset threshold value includes: Comparing the frost layer thickness data of each area with a preset defrosting threshold value, which is set based on the working environment of the cold storage evaporator; According to the comparison result, a target defrosting area with the position of the defrosting area is generated.

[0022] In a specific implementation, the real-time acquired frost layer thickness data of each area is compared with a preset defrosting threshold value, which is not a fixed and unchangeable empirical value, but is dynamically set and optimized based on the actual working environment of the cold storage evaporator. The specific value will take into account multiple factors such as the design temperature in the warehouse, the current environmental humidity, and the fin spacing and surface characteristics of the evaporator, so as to ensure that the threshold value can effectively prevent performance deterioration caused by excessive frost layer thickness, and avoid unnecessary defrosting operation caused by setting the threshold value too low. In this way, the core contradiction between the traditional fixed time interval method and the environmental working condition is solved. After the data and threshold value are compared, a target defrosting area list with clear defrosting area position information is generated according to the comparison result: in the form of data that can be recognized and called by the control system (such as area coordinates or number), which records which areas need to be defrosted.

[0023] In one embodiment, the step of generating a target defrosting area with the location of the area to be defrosted further includes: Based on the frost thickness value of each region in the target defrosting region, the defrosting priority is sorted to generate a regional defrosting sequence, wherein the defrosting priority is positively correlated with the frost thickness. In the regional defrosting sequence, at least one non-adjacent region defrosting operation is inserted between any two spatially adjacent target defrosting regions.

[0024] In practice, based on the frost thickness values ​​of each area within the target defrosting area in step 2, defrosting priorities are ranked to generate a preliminary regional defrosting sequence. The established principle is that defrosting priority is positively correlated with frost thickness; that is, areas with thicker frost are assigned higher processing priority. This prioritizes relieving the most severe frost buildup from its constraint on evaporator heat exchange efficiency, thereby restoring overall system performance as quickly as possible and avoiding increased system performance due to severe frost buildup in individual areas. However, ranking based solely on thickness may introduce new problems: if adjacent areas are heated sequentially in space, the defrosting heat from the previous area will be rapidly conducted through the highly thermally conductive metal fins to adjacent areas that have just finished defrosting or are still at low temperatures. This heat "crosstalk" not only leads to energy waste but may also cause the thin frost in adjacent areas to melt into water and then quickly refreeze into a dense ice layer, exacerbating the difficulty of subsequent defrosting. Therefore, this embodiment also introduces a second layer of optimization: in the final determined regional defrosting sequence, it is mandatory to insert at least one non-adjacent area defrosting operation between any two spatially adjacent target defrosting areas. This spatial rearrangement essentially sets a necessary "thermal cooling interval" between adjacent areas, effectively blocking the cumulative heat transfer path between areas. This not only prevents the risk of secondary frosting but also allows each area to defrost independently and efficiently in a relatively "cold" environment, thus ensuring the thermodynamic robustness of the entire defrosting process.

[0025] In one embodiment, for step S3, The steps for initiating modular heating and performing targeted defrosting operations on the identified target defrosting area include: Calculate the defrosting energy based on the frost thickness in the target defrosting area; Based on the defrosting energy, determine the heating power and duration of the corresponding modular heating unit; The modular heating unit corresponding to the target defrosting area is activated, and the modular heating unit is controlled to operate at the heating power for the specified duration.

[0026] In a specific implementation, according to the frost thickness of each of the one or more target defrosting areas identified in step S2, the theoretical defrosting energy required to remove the frost in each area is calculated in parallel, which is based on thermodynamic principles, and the required energy Q can be estimated by the formula Q = m * [C ice * ΔT + L fusion ], where m represents the mass of the frost layer, which can be calculated by the density of the frost layer, the covered area, and the measured thickness; C ice is the specific heat capacity of the frost, ΔT is the temperature that the frost layer needs to rise, and L fusion is the latent heat of fusion of the frost. By calculating, the energy supply is accurately matched with the frost load to achieve on-demand energy supply. According to the calculated defrosting energy of each area and in combination with the characteristics of each modular heating unit, the heating power and duration required for the corresponding unit to perform this task are determined to realize the conversion of energy instructions to specific and executable control parameters. In parallel or according to an optimized sequence, start the modular heating unit corresponding to each target defrosting area and control each unit to operate at the determined heating power for the determined duration. This embodiment realizes concurrent control of modular area groups to ensure that the system can simultaneously intervene in multiple frosting hotspots, improving defrosting efficiency, while achieving efficient defrosting and minimizing overall thermal impact on frost-free areas and the temperature in the warehouse.

[0027] In one embodiment, after the step of performing the targeted defrosting operation, further comprising: After the defrosting operation is completed, the frost thickness data of the corresponding area is again obtained by the sensing unit of the target defrosting area. If the re-obtained frost thickness is higher than the defrosting termination threshold, the targeted defrosting operation is continued on the target defrosting area. If the re-obtained frost thickness is lower than or equal to the defrosting termination threshold, a defrosting termination instruction is generated to turn off the corresponding modular heating unit.

[0028] In a specific implementation, after the targeted defrosting operation is performed, a closed-loop feedback control mechanism is initiated to ensure the defrosting quality of each targeted defrosting area and to achieve precise energy management. Considering that the defrosting process can involve simultaneous or sequential processing of multiple modular areas, the feedback mechanism independently evaluates the effect of each targeted area. Specifically, after the defrosting operation on one or more targeted defrosting areas is completed, the corresponding latest frost thickness data is again obtained by the sensing unit integrated in each area, thereby obtaining a real-time and direct spatial distribution report on the defrosting effect. The frost thickness data obtained by each area is compared with a preset defrosting termination threshold, which is set at a level that ensures the recovery of evaporator heat exchange performance and avoids energy waste. If the frost thickness of a certain area is still higher than the threshold, it is determined that the defrosting of that area is not complete, and a new round of targeted defrosting operation is then performed on that specific area, with the operation parameters being adaptively adjusted according to the remaining frost load. Conversely, if the frost thickness of a certain area is confirmed to be lower than or equal to the defrosting termination threshold, a defrosting termination instruction is immediately generated for that area, and the corresponding modular heating unit is turned off. This embodiment, through the ability to independently evaluate and re-control multiple modular areas, constructs a distributed "execution-measurement-decision-re-execution" intelligent cycle to effectively solve the problem of incomplete defrosting of individual areas caused by uneven frost distribution or heating power estimation deviation, while avoiding unnecessary energy addition to other areas that have met the standards. Ultimately, the thoroughness and economy of the defrosting process are ensured under complex working conditions.

[0029] In one embodiment, the step of generating a defrosting termination instruction further comprises: delaying a preset drainage time, the drainage time being determined based on the structural characteristics of the freezer evaporator and the ambient temperature; after the drainage time ends, resuming normal refrigeration operation of the freezer evaporator.

[0030] In a specific implementation, after the defrosting termination instruction is generated, a post-processing stage is executed to ensure the thoroughness of the final completion of the defrosting process and the safety of the system resuming operation. Specifically, a preset drainage time is delayed, and then the refrigeration is resumed. The preset drainage time is intelligently determined based on a comprehensive consideration of two core influencing factors, i.e., the specific structural characteristics (such as fin spacing, inclination angle, surface hydrophobic coating, and drainage groove design) of the cold storage evaporator and the current environmental temperature, through a pre-established function or data model representing the corresponding relationship between the above factors and the drainage time. For example, in the case of small fin spacing and extremely low environmental temperature, the water film generated by defrosting has poor flowability, and the required drainage time is relatively long. Conversely, in the case of optimized structure and high temperature environment, the drainage time can be correspondingly shortened. Through the delay operation, the water droplets or water film generated by defrosting have sufficient time to be completely drained away from the evaporator fin surface under the combined action of gravity, surface tension, and possible guiding airflow. After the end of the preset drainage time, the system resumes the normal refrigeration operation of the cold storage evaporator. In this way, the refrigeration is resumed when the liquid water has not been completely drained, which can prevent the residual water from instantaneously re-icing (i.e., secondary frosting or flash freezing) on the ice-cold fin surface. Secondary frosting can quickly reduce the heat exchange efficiency, reduce the defrosting effect just completed, and may cause a vicious cycle of frequent start-stop.

[0031] Reference Figure 2 The structural block diagram of the self-sensing defrosting control system of the cold storage evaporator in an embodiment of the present application includes: The sensing module is used to obtain the frost layer thickness data of different regions of the evaporator in real time and independently through a plurality of sensing units arranged in different regions on the fin surface of the cold storage evaporator. The processing module is used to identify a target defrosting region whose frost layer thickness exceeds a preset threshold based on the obtained frost layer thickness data of each region. The control module is used to start modular heating for the identified target defrosting region and execute directional defrosting operation.

[0032] The specific implementation of each module in the above device example is described in the above method embodiments, which will not be repeated here.

[0033] Reference Figure 3 In the embodiments of the present application, a computer device is also provided, which can be a server, and the internal structure thereof can be as follows: Figure 3The computer device includes a processor, a memory, a display screen, an input device, a network interface and a database connected through a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium. The database of the computer device is configured to store corresponding data in the embodiment. The network interface of the computer device is configured to communicate with an external terminal through a network connection. The computer program is executed by the processor to implement the above method.

[0034] Those skilled in the art can understand that, Figure 3 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied.

[0035] The embodiment of the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the above method. It can be understood that the computer readable storage medium in the embodiment can be a volatile readable storage medium or a non-volatile readable storage medium.

[0036] To sum up, the present application arranges multiple sensing units on the surface of the evaporator fins of the cold storage in a regional manner, and independently obtains the frost thickness data of different regions of the evaporator in real time. Based on the obtained frost thickness data of each region, the target defrosting region whose frost thickness exceeds the preset threshold is identified. The identified target defrosting region is started by the modular heating, and the directional defrosting operation is performed, so as to realize the transformation from the timed overall defrosting to the on-demand point defrosting, and solve the problem of system performance loss and operation stability caused by inaccurate defrosting control in the cold storage industry.

[0037] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, storage, database or other medium provided by the present application and used in the embodiments can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM, etc.

[0038] It should be noted that in this document, the terms "comprising", "including", or any other variant thereof are intended to cover a non-exclusive inclusion, such that a process, device, article or method that comprises a list of elements does not only include those elements, but can also include other elements not expressly listed or inherent to such process, device, article or method. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, device, article or method that includes the element.

[0039] The above description is only the preferred embodiment of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation, or direct or indirect application in other related technical fields, based on the content of the present application specification and drawings, are also included in the patent protection scope of the present application.

Claims

1. A self-sensing defrosting control method of a cold storage evaporator, characterized by, The method comprises the following steps: a plurality of sensing units arranged on the surface of the evaporator fins of the cold storage are used to obtain frost thickness data of different regions of the evaporator in real time and independently; based on the obtained frost thickness data of each region, a target defrosting region with frost thickness exceeding a preset threshold is identified; a modular heating is started for the identified target defrosting region to perform directional defrosting operation.

2. The self-sensing defrost control method of a walk-in freezer evaporator of claim 1, wherein, The step of obtaining frost thickness data of different regions of the evaporator in real time and independently by arranging a plurality of sensing units on the surface of the evaporator fins of the cold storage comprises: at least one sensing unit independently arranged on each fin unit is used to collect original thickness signals of the frost layer in the corresponding region; the original thickness signals are filtered and denoised to eliminate high-frequency interference of the cold storage equipment operation; the processed original thickness signals are converted into frost thickness data of the corresponding region.

3. The self-sensing defrost control method of a walk-in freezer evaporator of claim 1, wherein, The step of identifying a target defrosting region with frost thickness exceeding a preset threshold based on the obtained frost thickness data of each region comprises: the frost thickness data of each region is compared with a preset defrosting threshold, which is set based on the working environment of the cold storage evaporator; a target defrosting region with the position of the region needing defrosting is generated according to the comparison result.

4. The self-sensing defrost control method of a walk-in freezer evaporator of claim 3, wherein, The step of generating a target defrosting region with the position of the region needing defrosting further comprises: a defrosting priority is sorted according to the frost thickness values of each region in the target defrosting region to generate a regional defrosting sequence, wherein the defrosting priority is positively correlated with the frost thickness; at least one defrosting operation of a non-adjacent region is inserted between any two adjacent target defrosting regions in the regional defrosting sequence.

5. The self-sensing defrost control method of a walk-in freezer evaporator of claim 1, wherein, The step of starting a modular heating for the identified target defrosting region to perform directional defrosting operation comprises: a defrosting energy is calculated according to the frost thickness of the target defrosting region; a heating power and a duration of a corresponding modular heating unit are determined according to the defrosting energy; the corresponding modular heating unit of the target defrosting region is started, and the modular heating unit is controlled to operate at the heating power for the duration.

6. The self-sensing defrost control method of a walk-in freezer evaporator of claim 5, wherein, After the step of performing directional defrosting operation, the method further comprises: after the defrosting operation is completed, the frost thickness data of the corresponding region is obtained again through the sensing unit of the target defrosting region; if the obtained frost thickness is higher than a defrosting termination threshold, the directional defrosting operation is continued for the target defrosting region; if the obtained frost thickness is lower than or equal to the defrosting termination threshold, a defrosting termination instruction is generated to turn off the corresponding modular heating unit.

7. The self-sensing defrost control method of a walk-in freezer evaporator of claim 6, wherein, The step of generating a defrosting termination instruction further comprises: a preset drainage time is delayed, which is determined based on the structural characteristics of the cold storage evaporator and the environmental temperature; after the drainage time ends, the normal refrigeration operation of the cold storage evaporator is restored.

8. A self-sensing defrost control system for a walk-in freezer evaporator, comprising: The method comprises: a sensing module is used to arrange a plurality of sensing units on the surface of the evaporator fins of the cold storage to obtain frost thickness data of different regions of the evaporator in real time and independently; a processing module is used to identify a target defrosting region with frost thickness exceeding a preset threshold based on the obtained frost thickness data of each region; A control module is configured to initiate the modular heating to the identified target defrost zone and perform a targeted defrost operation. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8. The computer program is executed by the processor to implement the steps of the self-sensing defrost control method of the cold storage evaporator according to any one of claims 1-7.

10. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the self-sensing defrost control method of the cold storage evaporator according to any one of claims 1-7.

Images