Anti-icing refrigeration method and system

Abstract

The invention relates to the technical field of refrigeration, in particular to an anti-icing refrigeration method and system.The anti-icing refrigeration method comprises the steps that water temperature data in a water tank are collected in real time, and temperature dynamic parameters reflecting the temperature change trend and stability are calculated; dynamically adjusting the opening degree of the electronic expansion valve based on the temperature dynamic parameter; when the temperature dynamic parameter meets a preset icing triggering condition, deicing circulation is executed; a compressor and an electronic expansion valve are closed, and a circulating pump is started; monitoring the temperature dynamic parameter in real time in the deicing cycle, dynamically adjusting the duration of the deicing cycle based on the temperature dynamic parameter, judging whether a preset deicing completion condition is met or not based on the temperature dynamic parameter, if not, continuing the deicing cycle, and if yes, terminating the deicing cycle. And the compressor and the electronic expansion valve are restarted to recover the refrigeration cycle. The technical problems that in the prior art, due to freezing, energy consumption of a refrigerating system is too high, and the automation degree is insufficient are solved.

Description

Technical Field

[0001] The present invention relates to the field of refrigeration technology, and in particular to an anti-icing refrigeration method and system. Background Art

[0002] With the widespread use of refrigeration equipment in fields such as healthcare and food preservation, traditional refrigeration systems are experiencing localized icing issues during low-temperature operation. During the refrigeration process, ice easily forms on the cooling medium near the evaporator, hindering heat exchange efficiency and causing the compressor to operate at continuous high loads. This not only wastes energy but can also damage the equipment structure. Currently, timed or manual defrosting solutions are commonly used, but these solutions suffer from low intelligence, high energy consumption, and delayed response times. Summary of the Invention

[0003] The main purpose of the present invention is to propose an anti-icing refrigeration method, which aims to solve the technical problems of excessive energy consumption and insufficient automation of refrigeration systems caused by icing in the prior art.

[0004] To achieve the above objectives, the present invention provides, in a first aspect, an anti-icing refrigeration method for use in a refrigeration device, the refrigeration device comprising a refrigerant circulation circuit, a water cylinder, and a circulation pump; the refrigerant circulation circuit comprising a compressor, an electronic expansion valve, a condenser, and an evaporator connected in sequence; the outer wall of the evaporator being thermally connected to the side walls of the water cylinder, and the water inlet and outlet of the circulation pump being respectively disposed on the inner side walls of the water cylinder, forming a water flow circuit within the water cylinder; the anti-icing refrigeration method comprising the following steps: Step S100: collecting temperature data of the water inside the water tank in real time through a first temperature sensor disposed inside the water tank, and calculating a temperature dynamic parameter; the temperature dynamic parameter reflects the temperature change trend and stability; Step S200: dynamically adjusting the opening of the electronic expansion valve based on the temperature dynamic parameter to reduce the risk of freezing by controlling the refrigerant flow; Step S300: When the temperature dynamic parameter meets the preset ice triggering condition, executing an ice-defrosting cycle, the ice-defrosting cycle including: shutting down the compressor and the electronic expansion valve, and starting the circulation pump to drive water to circulate inside the water tank to defrost; Step S400: monitor the temperature dynamic parameters in real time during the defrosting cycle, dynamically adjust the duration of the defrosting cycle based on the temperature dynamic parameters, and determine whether the preset defrosting completion conditions are met based on the temperature dynamic parameters. If not, continue the defrosting cycle; if so, terminate the defrosting cycle, restart the compressor and the electronic expansion valve to resume the refrigeration cycle.

[0005] Preferably, in step S100, the step of collecting temperature data of the water inside the water tank in real time by using a first temperature sensor provided inside the water tank and calculating the temperature dynamic parameters includes: Step S110: acquiring temperature data of the water inside the water tank at a predetermined acquisition frequency through the first temperature sensor, and calculating an instantaneous temperature drop rate based on the temperature difference between adjacent time intervals; Step S120: continuously storing the instantaneous temperature drop rate in a sliding time window with a capacity of M, and removing the earliest historical data when new data is added to maintain the capacity of the sliding time window at M, where M is a natural number greater than or equal to 2; Step S130: Calculate the arithmetic mean of all instantaneous temperature drop rates within the current sliding time window to obtain an average temperature drop rate, and output it as a first temperature dynamic parameter.

[0006] Preferably, after step S130, the method further includes: Step S140: calculating, for each instantaneous temperature drop rate stored in the sliding time window, its absolute deviation from the first temperature dynamic parameter; Step S150: Calculate the arithmetic mean of the M absolute deviation values within the sliding time window to obtain a temperature drop fluctuation coefficient, and output it as a second temperature dynamic parameter.

[0007] Preferably, in step S300, the step of executing a defrosting cycle when the temperature dynamic parameter meets a preset icing trigger condition includes: Step S310: When it is detected that the water temperature in the current water tank is lower than the predetermined freezing risk threshold and the difference from the set target water temperature is within the preset risk range, an freezing prediction signal is generated; Step S320: In response to the freezing prediction signal, the circulation pump is started to drive the water to circulate inside the water cylinder, the evaporator outlet temperature is continuously collected by the second temperature sensor provided at the evaporator outlet, and the water body temperature is continuously collected by the first temperature sensor, and the evaporator outlet temperature and the water body temperature are continuously stored within a verification time window with a capacity of N. When new data is added, the oldest historical data is removed to maintain the capacity of the sliding time window at N, where N is a natural number greater than or equal to 2; Step S330: If the water temperature sequence shows a downward trend as a whole, and the current evaporator outlet temperature is lower than the freezing alarm threshold, it is determined that the freezing trigger condition is met, the compressor and the electronic expansion valve are turned off, and the defrosting cycle is entered; otherwise, it is determined that the freezing trigger condition is not met, and the refrigeration cycle is continued.

[0008] Preferably, in step S400, the step of determining whether a preset defrosting completion condition is met based on the temperature dynamic parameter includes: Step S410: continuously acquiring the second temperature dynamic parameter and the water temperature sequence in the water tank during the ice-melting cycle; Step S420: When the second temperature dynamic parameter is continuously lower than the first predetermined fluctuation threshold, it is determined that the system enters a steady-state defrosting period; Step S430: After entering the ice-melting stable period, if the current water temperature sequence shows a monotonically increasing trend and the second temperature dynamic parameter is higher than a second predetermined fluctuation threshold, it is determined that the ice-melting completion condition is met.

[0009] Preferably, in step S200, the step of dynamically adjusting the opening of the electronic expansion valve based on the temperature dynamic parameter includes: Step S210: obtaining the ambient temperature of the air through a third temperature sensor provided at a ventilation position of the refrigeration device housing, and calculating the initial opening value of the electronic expansion valve according to the current water temperature in the water tank, the ambient temperature, and the set target water temperature; Step S220: Obtain the pressure value and outlet temperature value of the condenser through the pressure sensor and the fourth temperature sensor set at the condenser outlet, and dynamically adjust the opening value of the electronic expansion valve based on the pressure value and outlet temperature value of the condenser; continuously collect the evaporator outlet temperature through the second temperature sensor set at the evaporator outlet, and dynamically adjust the opening value of the electronic expansion valve based on the evaporator outlet temperature and the set target water temperature.

[0010] Preferably, in step S210, the step of calculating the initial opening value of the electronic expansion valve according to the current water temperature in the water tank, the ambient temperature and the set target water temperature includes: Step S211: matching a pre-stored environmental compensation coefficient according to the ambient temperature range; Step S212: Calculating a cooling target temperature difference based on the set target water temperature and the current water temperature in the water tank, and generating an initial opening reference value based on the cooling target temperature difference and the environmental compensation coefficient; Step S213: performing boundary threshold determination on the initial opening reference value; if it exceeds the boundary limit of the opening effective range, setting the initial opening value to the boundary limit; otherwise, outputting the initial opening reference value as the initial opening value.

[0011] Preferably, in step S220, the step of dynamically adjusting the opening value of the electronic expansion valve based on the pressure value and outlet temperature value of the condenser includes: Step S221: periodically obtaining the pressure value and outlet temperature value of the condenser based on a preset first time period, and calculating the condenser subcooling degree; Step S222: comparing the condenser subcooling degree with a preset subcooling degree threshold range; Step S223: Perform directional opening correction according to the comparison result: when the condenser subcooling is lower than a first subcooling threshold, perform a positive opening correction; when the subcooling is higher than a second subcooling threshold, perform a negative opening correction; wherein the first subcooling threshold is smaller than the second subcooling threshold.

[0012] Preferably, in step S220, the step of dynamically adjusting the opening value of the electronic expansion valve based on the evaporator outlet temperature and the set target water temperature includes: Step S224: periodically obtaining the evaporator outlet temperature through the fourth temperature sensor based on a preset second time period, and calculating a real-time deviation between the evaporator outlet temperature and the set target water temperature; Step S225: comparing the real-time deviation value with a preset temperature difference deviation threshold range; Step S226: Perform directional opening correction according to the comparison result: when the real-time deviation value is higher than the positive temperature difference threshold, perform positive opening correction; when the real-time deviation value is lower than the negative temperature difference threshold, perform negative opening correction; wherein the positive temperature difference threshold is a positive value, and the negative temperature difference threshold is a negative value.

[0013] A second aspect of the present invention provides an anti-icing refrigeration system for implementing the anti-icing refrigeration method of the first aspect, comprising: A data acquisition module is used to collect temperature data of the water inside the water tank in real time through a first temperature sensor provided inside the water tank, and calculate temperature dynamic parameters; the temperature dynamic parameters reflect the temperature change trend and stability; a dynamic adjustment module, which dynamically adjusts the opening of the electronic expansion valve based on the temperature dynamic parameter, thereby reducing the risk of freezing by controlling the refrigerant flow; a defrost execution module, configured to execute a defrost cycle when the temperature dynamic parameter satisfies a preset freezing trigger condition, the defrost cycle comprising: shutting down the compressor and the electronic expansion valve, and starting the circulation pump to drive water to circulate inside the water tank to defrost; A cycle scheduling module is used to monitor the temperature dynamic parameters in real time during the defrosting cycle, dynamically adjust the duration of the defrosting cycle based on the temperature dynamic parameters, and determine whether the preset defrosting completion conditions are met based on the temperature dynamic parameters. If not, the defrosting cycle is continued; if so, the defrosting cycle is terminated, and the compressor and the electronic expansion valve are restarted to resume the refrigeration cycle.

[0014] The present invention provides an anti-icing refrigeration method and system, which improves the active defense performance of the refrigeration system against icing hazards through the real-time calculation of temperature dynamic parameters and dynamic opening adjustment technical features; improves the timeliness and reliability of the evaporator protection response through an intelligent ice program with preset icing trigger conditions; improves the energy efficiency utilization rate and system recovery efficiency of the deicing process through the closed-loop control feature of dynamically adjusting the defrosting time in the defrosting cycle; and ultimately achieves stable operation of the refrigeration system under continuous low-temperature conditions, eliminates the hidden dangers of high-load operation of the compressor and damage to the evaporator structure caused by icing in traditional solutions, and solves the technical problems of excessive energy consumption and insufficient automation of the refrigeration system caused by icing in the prior art.

[0015] Furthermore, the present invention also improves the anti-interference performance of temperature drop rate measurement through the first-in-first-out storage and mean calculation technical features of the sliding time window; improves the credibility of trend judgment under low-temperature conditions through the gradual removal mechanism of abnormal sampling values; improves the data basis stability of icing risk identification and electronic expansion valve adjustment through the continuous output average temperature drop rate parameter; improves the early warning performance of evaporator icing through the temperature drop fluctuation coefficient calculation technical feature; breaks through the traditional 5°C temperature control lower limit through the initial abnormal fluctuation identification feature of ice crystals; and improves the temperature difference risk interval prediction and thermodynamic inertia compensation technical features. The system improves the accuracy of ice judgment and the performance of avoiding thermal interference; avoids invalid energy consumption of ice-melting in non-icing state through the temperature sequence trend verification mechanism; improves the accuracy of ice-melting endpoint judgment through the technical features of locking the ice-melting stable period and dynamic reference threshold; avoids invalid energy consumption caused by excessive or insufficient ice-melting through the fluctuation coefficient and the water temperature rising trend identification feature; improves the heat load matching accuracy in the system startup phase through the environmental compensation coefficient and the initial opening calculation technical feature of the cooling temperature difference; improves the cooling stability and ice-melting defense capability under variable working conditions through the dynamic adjustment technical feature of the subcooling degree or evaporating temperature difference. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0017] Figure 1 A flow chart of an anti-icing refrigeration method provided in one embodiment of the present invention; Figure 2 A flow chart of a method for calculating temperature dynamic parameters provided by one embodiment of the present invention; Figure 3 A flow chart of a method for performing a defrost cycle according to an embodiment of the present invention; Figure 4 A flow chart of a method for determining whether a preset defrosting completion condition is met based on temperature dynamic parameters according to an embodiment of the present invention; Figure 5 A flow chart of a method for dynamically adjusting the opening value of an electronic expansion valve provided in one embodiment of the present invention; Figure 6 A flow chart of a method for determining an initial opening value of an electronic expansion valve provided in one embodiment of the present invention; Figure 7 A flow chart of a method for performing directional opening correction based on condenser subcooling provided in one embodiment of the present invention; Figure 8 A flow chart of a method for performing directional opening correction based on evaporation target temperature difference provided by one embodiment of the present invention; Figure 9 A schematic diagram of the principle of an anti-icing refrigeration system provided by one embodiment of the present invention; Figure 10 A schematic structural diagram of an anti-icing refrigeration electronic device provided by one embodiment of the present invention.

[0018] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0020] It should be noted that if the embodiments of the present invention involve directional indications, such as up, down, left, right, front, and back, the directional indications are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indications will also change accordingly.

[0021] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of such features. In addition, the meaning of "and / or" appearing throughout the text includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme in which A and B are satisfied at the same time. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0022] In view of this, the main purpose of the present invention is to propose an anti-icing refrigeration method and system. The main purpose of the present invention is to propose an anti-icing refrigeration method, which aims to solve the technical problems of excessive energy consumption and insufficient automation caused by icing in the refrigeration system in the prior art.

[0023] like Figures 1 to 10 As shown, the first aspect of the present invention provides an anti-icing refrigeration method, which is applied to a refrigeration device, wherein the refrigeration device includes a refrigerant circulation circuit, a water cylinder, and a circulation pump; the refrigerant circulation circuit includes a compressor, an electronic expansion valve, a condenser, and an evaporator connected in sequence; the outer wall of the evaporator is thermally connected to the side wall of the water cylinder, and the water inlet and outlet of the circulation pump are respectively arranged on the two inner side walls of the water cylinder, forming a water flow circuit inside the water cylinder; The anti-icing refrigeration method comprises the following steps: Step S100: collecting temperature data of the water inside the water tank in real time through a first temperature sensor disposed inside the water tank, and calculating a temperature dynamic parameter; the temperature dynamic parameter reflects the temperature change trend and stability; Step S200: dynamically adjusting the opening of the electronic expansion valve based on the temperature dynamic parameter to reduce the risk of freezing by controlling the refrigerant flow; Step S300: When the temperature dynamic parameter meets the preset ice triggering condition, executing an ice-defrosting cycle, the ice-defrosting cycle including: shutting down the compressor and the electronic expansion valve, and starting the circulation pump to drive water to circulate inside the water tank to defrost; Step S400: monitor the temperature dynamic parameters in real time during the defrosting cycle, dynamically adjust the duration of the defrosting cycle based on the temperature dynamic parameters, and determine whether the preset defrosting completion conditions are met based on the temperature dynamic parameters. If not, continue the defrosting cycle; if so, terminate the defrosting cycle, restart the compressor and the electronic expansion valve to resume the refrigeration cycle.

[0024] For details, see Figure 1 In a specific embodiment of the present invention, the refrigeration system is connected in sequence by a compressor, a condenser, an electronic expansion valve and an evaporator to form a refrigeration cycle loop; wherein the compressor output end is connected to the condenser inlet, the condenser outlet is connected to the evaporator refrigerant inlet via the electronic expansion valve, and the evaporator refrigerant outlet is connected back to the compressor input end to form a closed loop; the water circulation system includes a water tank with a built-in temperature sensor, a circulation pump and connecting pipes; the water inlet of the circulation pump is set on the left inner wall of the water tank through a pipe, and the water outlet is set on the right inner wall of the water tank through a pipe, driving the water flow to circulate inside the water tank, passing through the water body Internal heat convection accelerates the balance of hot and cold spots to eliminate local overcooling and achieve efficient ice melting. Furthermore, the water outlet of the circulation pump can be set on the side of the water cylinder close to the evaporator, and the water inlet can be set on the side wall of the water cylinder of the evaporator. The horizontal directional flushing mode is used to continuously impact the cylinder wall area in thermal contact with the evaporator, and the shear stress of the water flow is used to physically peel off the attached ice layer when ice forms. The data acquisition module includes an NTC temperature sensor arranged on the inside of the water cylinder, which collects the original water temperature data at a fixed sampling frequency to generate a continuous temperature sequence. The control module is connected to the temperature sensor, compressor, circulation pump and electronic expansion valve. The system is electrically connected to the evaporator, receives temperature sequences in real time, and calculates temperature dynamic parameters, which characterize the changing trends and stability fluctuations of water temperature. The control module dynamically adjusts the opening of the electronic expansion valve based on the temperature dynamic parameters to optimize refrigerant flow. When the calculated temperature dynamic parameters meet preset ice trigger conditions, the control module sends control instructions to the compressor and circulation pump to initiate a defrost cycle, shutting down the compressor and restarting the circulation pump simultaneously to force water flow across the evaporator surface for efficient ice melting. During the defrost cycle, the control module continuously monitors the temperature dynamic parameters in real time and dynamically adjusts the duration of the defrost cycle accordingly to match actual defrost requirements. During the defrost cycle, the system continuously determines whether the monitored temperature dynamic parameters meet preset defrost completion conditions. When the conditions are met, the control module sends a control instruction to terminate the defrost cycle and restart the compressor and electronic expansion valve, restoring refrigeration cycle operation. This embodiment integrates temperature trend stability analysis, dynamic adjustment of the electronic expansion valve opening, precise defrost triggering, and a closed-loop intelligent control mechanism for the defrost process to achieve active control of the entire process, from ice layer prediction to efficient removal and rapid cooling recovery.

[0025] It can be understood that this embodiment can effectively improve the stability of the refrigeration process and slow down the formation of ice by calculating and analyzing temperature dynamic parameters in real time and dynamically adjusting the opening of the electronic expansion valve accordingly. After predicting and identifying the risk of icing, triggering the defrost cycle and forcing water to defrost can effectively improve the de-icing efficiency and protect the evaporator. By continuously adjusting the defrost time based on the temperature dynamic parameters during the defrost process, energy waste caused by insufficient or excessive defrost can be effectively avoided. After defrost is completed, the system quickly resumes the refrigeration cycle, which can minimize the downtime of the equipment. This embodiment integrates the above-mentioned preventive adjustment, active defrost and closed-loop defrost process optimization method to significantly reduce the performance degradation of the system caused by icing and the loss caused by abnormal start and stop of the compressor, and effectively improve the overall energy efficiency ratio and equipment life of the equipment. It is suitable for scenarios such as medical ice therapy and experimental refrigeration that require continuous low-temperature operation. Based on the above technical solution, those skilled in the art can make corresponding equivalent improvements according to specific application scenarios, such as optimizing the calculation of temperature dynamic parameters to be based on sliding window variance or specific filtering algorithm; or using pressure sensor combined with temperature estimation to indirectly analyze the ice layer state; or using variable frequency drive for the circulation pump to achieve stepless adjustment of the defrosting water flow intensity; or incorporating ambient humidity or load change compensation factors into the electronic expansion valve opening adjustment logic; for evaporators made of specific materials, a physical de-icing auxiliary module can be added; other improvements that achieve equivalent ice layer prediction, active removal and closed-loop recovery of refrigeration functions on the core mechanism are all within the scope of protection of this patent.

[0026] Preferably, in step S100, the step of collecting temperature data of the water inside the water tank in real time by using a first temperature sensor provided inside the water tank and calculating the temperature dynamic parameters includes: Step S110: acquiring temperature data of the water inside the water tank at a predetermined acquisition frequency through the first temperature sensor, and calculating an instantaneous temperature drop rate based on the temperature difference between adjacent time intervals; Step S120: continuously storing the instantaneous temperature drop rate in a sliding time window with a capacity of M, and removing the earliest historical data when new data is added to maintain the capacity of the sliding time window at M, where M is a natural number greater than or equal to 2; Step S130: Calculate the arithmetic mean of all instantaneous temperature drop rates within the current sliding time window to obtain an average temperature drop rate, and output it as a first temperature dynamic parameter.

[0027] For details, see Figure 2In a specific embodiment of the present invention, the temperature monitoring module obtains the water tank temperature sensor reading at a fixed acquisition frequency of once per minute to obtain the water temperature in the water tank, and calculates the instantaneous temperature drop rate based on the temperature change value at adjacent minute intervals; the system maintains an instantaneous temperature drop rate storage queue with a capacity of 10 in the memory, and the newly calculated rate value is added to the end of the queue, while removing the earliest historical data at the head of the queue, always keeping the queue containing only the latest 10 groups of data; all instantaneous temperature drop rate values in the current queue are summed and divided by the total number of data 10, and the resulting arithmetic mean is the average temperature drop rate after smoothing, which is output to the control module as the first temperature dynamic parameter. The calculation formula for the average temperature drop rate is as follows: Where, represents the average temperature drop rate, M represents the amount of data stored in the sliding window, Represents the instantaneous temperature drop rate calculated at the i-th sampling point.

[0028] As can be appreciated, this embodiment, through its fixed-time window, first-in, first-out data management strategy, coupled with arithmetic mean calculation, effectively smooths out temperature drop rate measurement anomalies caused by factors such as sensor noise, transient water flow disturbances, or minor environmental fluctuations. For example, when the water tank temperature is operating between 5°C and 10°C, if a sample shows an unexpected temperature rise, such as a brief heat exchange anomaly caused by a door opening, this anomaly triggers a single rate calculation. This anomaly is then gradually removed from the window by new data over the next nine samples. This prevents individual interfering data from impacting the accuracy of overall cooling trend assessments, significantly improving the reliability of cooling stability assessments under low-temperature conditions. This embodiment, through its sliding window mean processing technology, provides a more stable average temperature drop rate parameter that better reflects overall trends, enhancing the system's ability to determine true trends in cooling efficiency. By continuously updating and outputting this critical first temperature dynamic parameter, the system provides an accurate and reliable data foundation for subsequent precise icing risk assessments, fine-tuning the electronic expansion valve opening, and defrosting logic. This avoids potential misjudgments or control action disturbances caused by sudden changes in a single instantaneous value. It should be noted that the sliding window capacity M in this embodiment is an exemplary value set based on the operating characteristics of conventional medical ice therapy equipment. In actual applications, the above parameters can be flexibly configured and adjusted based on the cooling power, water tank volume, evaporator structural characteristics, and target application scenarios of different equipment.

[0029] Based on the above technical solutions, those skilled in the art may make corresponding equivalent improvements according to the specific characteristics of the application scenarios or system requirements, such as adjusting the length of the sliding time window to adapt to different system response speed requirements; using alternative algorithms such as weighted average or median filtering when calculating the average temperature drop rate to improve the anti-interference ability in specific scenarios; or fusing the instantaneous temperature drop rate data with other sensor readings (such as water flow rate) to provide a more comprehensive cooling efficiency indicator; these variant implementations based on the sliding window data processing principle to achieve better trend extraction should be covered within the scope of protection of the claims.

[0030] Preferably, after step S130, the method further includes: Step S140: calculating, for each instantaneous temperature drop rate stored in the sliding time window, its absolute deviation from the first temperature dynamic parameter; Step S150: Calculate the arithmetic mean of the M absolute deviation values within the sliding time window to obtain a temperature drop fluctuation coefficient, and output it as a second temperature dynamic parameter.

[0031] For details, see Figure 2 In a specific embodiment of the present invention, the system performs the following operations according to a preset calculation period (the default setting in this embodiment is 10 minutes): extracting all instantaneous temperature drop rate data stored in the sliding time window, calculating the absolute difference between each instantaneous temperature drop rate and the average temperature drop rate; performing an arithmetic average operation on the obtained absolute difference sequence to generate a temperature drop fluctuation coefficient as the second temperature dynamic parameter. The calculation formula for the temperature drop fluctuation coefficient is as follows: Where, represents the temperature drop fluctuation coefficient, represents the average temperature drop rate of the i-th storage location within the sliding time window, Indicates 10 The arithmetic mean of the values.

[0032] The following example illustrates that when local icing occurs on the evaporator, the originally stable temperature drop rate sequence suddenly changes, and the data stored in the sliding window is [0.3, 0.32, 0.31, 0.29, 0.33, 0.30, 0.10, 0.12, 0.09, 0.11], and we can get =0.217, and a is 0.103, which exceeds the normal fluctuation threshold set in this embodiment, indicating that an anomaly has occurred in the refrigeration process. There may be localized ice formation on the evaporator, causing a sharp drop in heat exchange efficiency. Existing technologies only use the absolute value of the water temperature to determine if it is less than or equal to 5°C. If it is less than or equal to 5°C, it will trigger an alarm. It will not respond until a large area of ice covers the evaporator, causing the water temperature to substantially drop to the threshold. This will also limit the minimum water temperature and prevent it from reaching a lower temperature. In this case, the fluctuation coefficient can capture anomalies through rate changes in the early stages of ice crystal formation, issuing an early warning.

[0033] As you can understand, this embodiment, through the calculation and analysis of the temperature drop fluctuation coefficient, can accurately identify abnormal degradation of the refrigeration system's heat exchange efficiency at the initial stage of ice crystal formation, fundamentally resolving the response lag problem of existing technologies that rely on absolute water temperature thresholds. This parameter enables the system to proactively intervene before the evaporator ice area reaches a dangerous level, preventing high compressor load and structural damage caused by ice accumulation, while also ensuring the refrigeration system can exceed the traditional 5°C temperature control limit and achieve stable operation in lower temperature demand scenarios.

[0034] Based on the above technical solution, those skilled in the art can make corresponding equivalent improvements according to the application scenario, for example: using standard deviation calculation instead of the absolute deviation average to enhance sensitivity to extreme fluctuation data; or building an ice growth probability model in combination with the condenser pressure sensor readings to optimize the fluctuation coefficient threshold; or introducing a temperature change trend fitting algorithm in the window data processing link to improve the robustness of anomaly recognition under low temperature conditions.

[0035] Preferably, in step S300, the step of executing a defrosting cycle when the temperature dynamic parameter meets a preset icing trigger condition includes: Step S310: When it is detected that the water temperature in the current water tank is lower than the predetermined freezing risk threshold and the difference from the set target water temperature is within the preset risk range, an freezing prediction signal is generated; Step S320: In response to the freezing prediction signal, the circulation pump is started to drive the water to circulate inside the water cylinder, the evaporator outlet temperature is continuously collected by the second temperature sensor provided at the evaporator outlet, and the water body temperature is continuously collected by the first temperature sensor, and the evaporator outlet temperature and the water body temperature are continuously stored within a verification time window with a capacity of N. When new data is added, the oldest historical data is removed to maintain the capacity of the sliding time window at N, where N is a natural number greater than or equal to 2; Step S330: If the water temperature sequence shows a downward trend as a whole, and the current evaporator outlet temperature is lower than the freezing alarm threshold, it is determined that the freezing trigger condition is met, the compressor and the electronic expansion valve are turned off, and the defrosting cycle is entered; otherwise, it is determined that the freezing trigger condition is not met, and the refrigeration cycle is continued.

[0036] For details, see Figure 3 In one embodiment of the present invention, when the water tank temperature sensor detects that the current water temperature has dropped below the freezing risk threshold of 5°C and is within a 2°C temperature difference from the target set temperature (e.g., 0°C), the control module generates a freezing prediction signal and subsequently activates the circulation pump to force water circulation. Based on the principle of heat absorption during phase change of the evaporator refrigerant, during normal cooling, the evaporator outlet temperature should remain stable within a small fluctuation range, while the water temperature in the water tank continues to decline due to heat exchange from the water flow. If ice forms an insulating layer on the evaporator wall, hindering heat exchange, the downward trend in the water tank temperature will slow. To this end, the system sets a verification time window with a capacity N of 5, synchronously collecting the water tank water temperature sequence and the evaporator outlet temperature sequence every minute. Therefore, when the overall decreasing trend of the water tank water temperature sequence is detected and the evaporator outlet temperature falls below the freezing alarm threshold (e.g., the last temperature value in the temperature sequence is below 0°C), a critical state of ice obstructing heat exchange is double-checked, and the compressor and electronic expansion valve are immediately shut down, triggering the defrost cycle. Otherwise, it is determined to be thermal inertia interference, and the refrigeration cycle is maintained. The following example illustrates a method for determining an overall decrease in the water temperature sequence in a water tank. Assuming the collected water temperature sequence in the water tank is 4.90°C → 4.85°C → 4.82°C → 4.80°C → 4.78°C, the absolute difference between the initial and final temperatures within the time window is calculated to be 0.12°C. This difference is compared with the preset minimum temperature drop threshold per unit time (0.10°C). If this difference is greater than the preset threshold, an overall downward trend is confirmed. Alternatively, linear regression slope analysis can be used as a verification method to calculate the slope of the trend line of the water temperature sequence in the water tank (-0.024°C / min) and compare it with the preset critical slope (-0.015°C / min). If this difference is greater than the preset critical slope, an overall downward trend is confirmed. After confirming an overall decrease in the water tank temperature sequence, the system also verifies whether the evaporator outlet temperature is below the freezing alarm threshold. This threshold is set based on the product's actual cooling characteristics and reflects the physical phenomenon of overcooling caused by the refrigerant being unable to effectively absorb heat due to the ice layer on the evaporator surface. During the dual-condition verification, if the system determines that the ice thickness on the evaporator wall exceeds the threshold and the cooling efficiency is below the set value, it will trigger a defrost cycle to eliminate the ice layer's thermal resistance. It should be noted that the parameters involved in this embodiment, such as the 5°C freezing risk threshold, 0°C set temperature value, 2°C temperature difference risk interval, freezing alarm threshold of 0°, preset minimum temperature drop per unit time threshold (0.10°C), preset critical slope (-0.015°C / min), 5-minute verification window duration (N), and minute-by-minute data collection frequency, are exemplary values set based on the operating characteristics of conventional medical ice therapy equipment. In actual applications, these parameters can be flexibly configured and adjusted based on the cooling power, water tank volume, evaporator structural characteristics, and target application scenarios of different equipment.

[0037] As can be appreciated, this embodiment, through its dual-judgment mechanism of predicting temperature difference risk intervals and verifying temperature sequence trends, can effectively distinguish between true freezing and low-temperature steady-state operating conditions. This not only avoids the inefficient energy consumption of traditional timed defrosting in non-freezing conditions, but also eliminates the risk of false triggering of the simple temperature threshold method in ultra-low temperature demand scenarios, ensuring accurate evaporator protection and optimized system energy efficiency in special scenarios such as medical ice therapy. Based on the above technical solution, those skilled in the art may make corresponding equivalent improvements based on the application scenario. For example, they may add a water flow rate sensor to the circulation pump to perform cross-validation in conjunction with water temperature change trends; dynamically associate the preset risk interval with the ambient humidity parameter in extreme low temperature scenarios; or dynamically associate the verification window duration with the temperature drop fluctuation coefficient to achieve adaptive thermal inertia compensation.

[0038] Preferably, in step S400, the step of determining whether a preset defrosting completion condition is met based on the temperature dynamic parameter includes: Step S410: continuously acquiring the second temperature dynamic parameter and the water temperature sequence in the water tank during the ice-melting cycle; Step S420: When the second temperature dynamic parameter is continuously lower than the first predetermined fluctuation threshold, it is determined that the system enters a steady-state defrosting period; Step S430: After entering the ice-melting stable period, if the current water temperature sequence shows a monotonically increasing trend and the second temperature dynamic parameter is higher than a second predetermined fluctuation threshold, it is determined that the ice-melting completion condition is met.

[0039] For details, see Figure 4 In one specific embodiment of the present invention, the system continuously monitors a second temperature dynamic parameter, the temperature drop fluctuation coefficient a, and the water temperature sequence in the water tank during the defrost cycle. When the fluctuation coefficient a is detected to be consistently below a first predetermined fluctuation threshold of 0.5, the system determines that the defrost cycle has entered a stable defrost phase. During this phase, if the water temperature sequence shows a continuous upward trend and the latest fluctuation coefficient a exceeds a second predetermined fluctuation threshold (set in this embodiment as three times the initial defrost fluctuation baseline), the defrost completion condition is determined. For example, at defrost initiation, an initial baseline value of 0.1 is recorded. If a subsequently rises to 0.35, exceeding the second predetermined fluctuation threshold of 0.3, and the water temperature continuously rises from 4.80°C to 4.83°C, defrost is immediately terminated. It should be noted that the first predetermined fluctuation threshold of 0.5 and the second predetermined fluctuation threshold multiple of three are exemplary configurations in this embodiment. In actual applications, these values can be flexibly adapted based on engineering parameters such as the thermal conductivity of the heat exchanger material and the maximum flow rate of the circulating pump.

[0040] It is understandable that this embodiment locks the ice-melting plateau through a first predetermined fluctuation threshold, and based on a second predetermined fluctuation threshold defined based on a dynamic benchmark, identifies the critical point at which ice melting is complete in conjunction with the rising water temperature trend. This eliminates the limitations of fixed thresholds while precisely controlling the ice-melting endpoint, thereby improving the accuracy of identifying zero ice residue in the evaporator and reducing the duration of ineffective ice-melting. Based on the above technical solution, those skilled in the art may make corresponding equivalent improvements according to the application scenario, for example: using the gradient of the water temperature change rate instead of the fluctuation coefficient as the basis for determining the second predetermined fluctuation threshold; or dynamically associating the first predetermined fluctuation threshold with the thermal conductivity of the evaporator material; or expanding the ice-melting completion criterion to a fusion model of the circulating pump current fluctuation spectrum analysis and the water temperature rising trend; other technical variations that achieve stable period identification and accurate determination of the melting endpoint are all within the scope of protection of this patent.

[0041] Preferably, in step S200, the step of dynamically adjusting the opening of the electronic expansion valve based on the temperature dynamic parameter includes: Step S210: obtaining the ambient temperature of the air through a third temperature sensor provided at a ventilation position of the refrigeration device housing, and calculating the initial opening value of the electronic expansion valve according to the current water temperature in the water tank, the ambient temperature, and the set target water temperature; Step S220: Obtain the pressure value and outlet temperature value of the condenser through the pressure sensor and the fourth temperature sensor set at the condenser outlet, and dynamically adjust the opening value of the electronic expansion valve based on the pressure value and outlet temperature value of the condenser; continuously collect the evaporator outlet temperature through the second temperature sensor set at the evaporator outlet, and dynamically adjust the opening value of the electronic expansion valve based on the evaporator outlet temperature and the set target water temperature.

[0042] For details, see Figure 5 In a specific embodiment of the present invention, the control module matches a pre-stored environmental compensation coefficient mapping table according to the range of the real-time detected ambient temperature, calculates the cooling target temperature difference based on the difference between the current evaporator outlet temperature and the target set temperature, multiplies the environmental compensation coefficient by the cooling target temperature difference to generate an initial opening reference value, and finally outputs the initial opening instruction of the electronic expansion valve through boundary threshold processing.

[0043] As can be understood, this embodiment adaptively generates precise initial openings in the high-temperature, high-load, and low-temperature, near-target ranges through the coordinated calculation of ambient temperature range mapping compensation and the cooling target temperature difference. This not only avoids the risk of evaporator overcooling and icing caused by sudden ambient temperature changes, but also establishes an optimal flow rate benchmark for subsequent dynamic adjustments, thereby improving energy efficiency during the refrigeration system startup phase. Based on the above technical solution, those skilled in the art may make equivalent improvements based on the application scenario, such as expanding the ambient compensation coefficient mapping to a multivariate compensation model that includes altitude parameters; or using a neural network model to dynamically optimize the temperature difference calculation coefficient based on historical operating data.

[0044] Preferably, in step S210, the step of calculating the initial opening value of the electronic expansion valve according to the current water temperature in the water tank, the ambient temperature and the set target water temperature includes: Step S211: matching a pre-stored environmental compensation coefficient according to the ambient temperature range; Step S212: Calculating a cooling target temperature difference based on the set target water temperature and the current water temperature in the water tank, and generating an initial opening reference value based on the cooling target temperature difference and the environmental compensation coefficient; Step S213: performing boundary threshold determination on the initial opening reference value; if it exceeds the boundary limit of the opening effective range, setting the initial opening value to the boundary limit; otherwise, outputting the initial opening reference value as the initial opening value.

[0045] For details, see Figure 6 In a specific embodiment of the present invention, the control module first verifies the cooling demand conditions: when the set temperature is lower than the current water temperature in the water tank, the initial opening calculation of the electronic expansion valve is performed; otherwise, the initial opening can be set to 0. The initial opening is matched with the corresponding ambient temperature compensation coefficient according to the predefined interval to which the real-time ambient temperature belongs. Example parameters are shown in the table below; the cooling target temperature difference is calculated based on the absolute difference between the current temperature and the set target water temperature, and the product of the compensation coefficient and the target temperature difference is multiplied by the calibration factor to generate the initial opening reference value; finally, the opening value is constrained to the valid range of 0%-100% through boundary threshold processing (this embodiment uses the minimum value function as an example). The calculation process is mathematically expressed as: Where K represents the initial opening value of the electronic expansion valve, Indicates the ambient temperature compensation coefficient, Indicates the current water temperature in the water tank. represents the target cooling temperature, min(●) is the minimum value selection function, and |●| is the absolute value function.

[0046] The mapping relationship between the ambient temperature compensation coefficient and the ambient temperature range is: The following is a calculation example: When the ambient temperature is 10℃, The ambient temperature compensation coefficient is 0.05, and the current water temperature in the water tank is is 10℃, if the target setting value If the temperature is 5℃, the initial opening value of the electronic expansion valve K=0.05*(10-5)*100=25%; if K>100%, K is 100%. The current K value is smaller than 100%, so the initial opening value is 25%.

[0047] It can be understood that this embodiment accurately matches the environmental heat load demand during the system startup phase through the collaborative calculation mechanism of the ambient temperature interval compensation coefficient mapping and the refrigeration temperature difference, which not only avoids the problem of refrigeration efficiency attenuation caused by insufficient initial opening in extremely high temperature environments, but also prevents the risk of early evaporator freezing caused by excessive opening under low temperature conditions, and establishes an optimal benchmark for subsequent dynamic flow regulation. It should be noted that the specific values of the environmental compensation coefficients, boundary threshold ranges and calibration factors defined in the embodiments are all reference values for typical scenarios. In actual implementation, they can be expanded to multi-dimensional mapping models or floating threshold intervals based on the refrigerant type, thermal conductivity of the evaporator material and geographical climate characteristics. Based on the above technical solutions, those skilled in the art can make corresponding equivalent improvements according to the application scenarios, such as replacing the environmental compensation coefficient mapping table with a temperature and humidity dual variable fitting function to enhance adaptability to high humidity environments; or using the accumulated running time of the compressor to dynamically correct the temperature difference calculation weight to compensate for the mechanical aging effect.

[0048] Preferably, in step S220, the step of dynamically adjusting the opening value of the electronic expansion valve based on the pressure value and outlet temperature value of the condenser includes: Step S221: periodically obtaining the pressure value and outlet temperature value of the condenser based on a preset first time period, and calculating the condenser subcooling degree; Step S222: comparing the condenser subcooling degree with a preset subcooling degree threshold range; Step S223: Perform directional opening correction according to the comparison result: when the condenser subcooling is lower than a first subcooling threshold, perform a positive opening correction; when the subcooling is higher than a second subcooling threshold, perform a negative opening correction; wherein the first subcooling threshold is smaller than the second subcooling threshold.

[0049] For details, see Figure 7 In a specific embodiment of the present invention, the system obtains the condenser outlet temperature and pressure values every 10 minutes based on the first time period, calculates the corresponding condenser subcooling, and compares it with the preset subcooling threshold range in real time: when the condenser subcooling is lower than the first subcooling threshold of 5°C, a positive opening correction instruction is sent to the electronic expansion valve to increase the opening value by 3%; when the condenser subcooling is higher than the second subcooling threshold of 10°C, a negative opening correction is performed, and the opening value is reduced by 3%; all correction operations are performed within the effective opening range of 0%-100% to perform boundary protection. In this embodiment, the condenser subcooling is obtained by integrating pressure sensing and thermodynamic property calculation: first, the refrigerant pressure value P is measured based on the condenser outlet pressure sensor. cound(MPa); then call the pre-stored refrigerant physical constants. In this embodiment, the refrigerant is R134a as an example. The Antoine constants of R134a are A=6.9237, B=1167.6, and C=228. For common refrigerants, the saturation temperature can be approximately calculated using the Antoine equation: Where A, B, and C are the physical constants of the refrigerant; Indicates the measured pressure at the condenser outlet; Indicates the saturation temperature of the condenser.

[0050] The saturation temperature of the condenser is obtained by inversely solving the equation ≈31.3℃; Simultaneously collect the measured temperature Wcondout at the condenser outlet (e.g. 29℃), and finally calculate the subcooling SC= =2.3°. This physical quantity, SC, directly reflects the subcooling state of the refrigerant in the condenser. If |SC| is less than 5°C, increase the electronic expansion valve opening by 3% at a time. If |SC| is greater than 10°C, decrease the electronic expansion valve opening by 3% at a time.

[0051] As can be understood, this embodiment converts the pressure signal into the saturation temperature through precise calculation of the Antoine physical property equation. The resulting subcooling (SC) objectively reflects the refrigerant condensation state. Compared to traditional temperature difference methods, this solution can eliminate control distortion caused by pressure fluctuations, improve the alignment of expansion valve adjustment with the actual thermodynamic state, and reduce abnormal compressor vibration. It should be noted that the Antoine constants (A=6.9237, B=1167.6, C=228) for R134a in this embodiment are merely examples for common refrigerants. The first time period, subcooling threshold, and opening adjustment range in this embodiment are exemplary values set based on the operating characteristics of conventional medical ice therapy equipment. In actual applications, these parameters can be flexibly configured and adjusted based on the condenser characteristics of different devices and the target application scenario. Based on the above technical solution, those skilled in the art can make corresponding equivalent improvements based on the application scenario. For example, they can embed the condenser fouling thermal resistance parameter into the saturation temperature calculation process to achieve dynamic compensation, or develop a self-calibration module for the pressure sensor signal to eliminate long-term drift errors.

[0052] In step S220, the step of dynamically adjusting the opening value of the electronic expansion valve based on the evaporator outlet temperature and the set target water temperature includes: Step S224: periodically obtaining the evaporator outlet temperature through the fourth temperature sensor based on a preset second time period, and calculating a real-time deviation between the evaporator outlet temperature and the set target water temperature; Step S225: comparing the real-time deviation value with a preset temperature difference deviation threshold range; Step S226: Perform directional opening correction according to the comparison result: when the real-time deviation value is higher than the positive temperature difference threshold, perform positive opening correction; when the real-time deviation value is lower than the negative temperature difference threshold, perform negative opening correction; wherein the positive temperature difference threshold is a positive value, and the negative temperature difference threshold is a negative value.

[0053] For details, see Figure 8 In a specific embodiment of the present invention, the system obtains the real-time deviation between the evaporator outlet temperature and the target temperature (e.g., a medical ice therapy setpoint of 3°C) every 5 minutes based on a preset second time period. When the deviation exceeds a positive temperature difference threshold of +2°C, a positive opening correction is performed to increase the opening of the electronic expansion valve by 5%. When the deviation falls below a negative temperature difference threshold of -1.5°C, a negative opening correction is performed to reduce the opening by 5%. All corrections are limited to the effective opening range of 0%-100% and take effect in real time.

[0054] As can be understood, this embodiment utilizes a dual-threshold range division with positive and negative directions and an aperture step correction mechanism to dynamically maintain optimal evaporator heat exchange efficiency near the target temperature range. This not only avoids the risk of evaporator surface overcooling and icing caused by excessive aperture in low-temperature conditions, but also suppresses cooling capacity degradation in high-temperature fluctuation zones, minimizing temperature fluctuations during steady-state operation of the ice therapy device. It should be noted that the 5-minute detection period, +2°C / -1.5°C temperature difference threshold, and 5% aperture correction step in this embodiment are reference values for typical operating conditions. In actual implementation, dynamic optimization can be performed based on the evaporator heat transfer coefficient and water tank heat capacity characteristics. Based on the above technical solution, those skilled in the art can make corresponding equivalent improvements based on the application scenario. For example, linking the temperature difference threshold to the water temperature change rate to achieve dynamic gradient adjustment, or using an aperture compensation prediction model trained on historical operating data instead of a fixed step correction.

[0055] See also Figure 9 The second aspect of the present invention provides an anti-icing refrigeration system for implementing the anti-icing refrigeration method described in the first aspect, comprising: A data acquisition module is used to collect temperature data of the water inside the water tank in real time through a first temperature sensor provided inside the water tank, and calculate temperature dynamic parameters; the temperature dynamic parameters reflect the temperature change trend and stability; a dynamic adjustment module, which dynamically adjusts the opening of the electronic expansion valve based on the temperature dynamic parameter, thereby reducing the risk of freezing by controlling the refrigerant flow; a defrost execution module, configured to execute a defrost cycle when the temperature dynamic parameter satisfies a preset freezing trigger condition, the defrost cycle comprising: shutting down the compressor and the electronic expansion valve, and starting the circulation pump to drive water to circulate inside the water tank to defrost; A cycle scheduling module is used to monitor the temperature dynamic parameters in real time during the defrosting cycle, dynamically adjust the duration of the defrosting cycle based on the temperature dynamic parameters, and determine whether the preset defrosting completion conditions are met based on the temperature dynamic parameters. If not, the defrosting cycle is continued; if so, the defrosting cycle is terminated, and the compressor and the electronic expansion valve are restarted to resume the refrigeration cycle.

[0056] A third aspect of the present invention further provides a storage medium storing an anti-icing refrigeration processing program. When the anti-icing refrigeration program is executed by a processor, the anti-icing refrigeration steps of any of the above embodiments are implemented.

[0057] See also Figure 10 The fourth aspect of the present invention provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements an anti-icing refrigeration method as in any embodiment of the first aspect when executing the computer program.

[0058] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor. The processor serves as the control center of the anti-icing refrigeration system, connecting various parts of the anti-icing refrigeration system to process and operate the device using various interfaces and lines.

[0059] The memory can be used to store the computer programs and / or modules. The processor implements the various functions of the anti-icing refrigeration system by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created based on the use of the mobile phone (such as audio data, a phone book, etc.). In addition, the memory can include a high-speed random access memory and can also include a non-volatile memory, such as a hard disk, internal memory, a plug-in hard disk, a smart memory card (SmartMediaCard, SMC), a secure digital (SecureDigital, SD) card, a flash card (FlashCard), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0060] Compared with the prior art, the beneficial effects of the present invention include at least: The present invention provides an anti-icing refrigeration method and system, which improves the active defense performance of the refrigeration system against icing hazards through the real-time calculation of temperature dynamic parameters and dynamic opening adjustment technical features; improves the timeliness and reliability of the evaporator protection response through an intelligent ice program with preset icing trigger conditions; improves the energy efficiency utilization rate and system recovery efficiency of the deicing process through the closed-loop control feature of dynamically adjusting the defrosting time in the defrosting cycle; and ultimately achieves stable operation of the refrigeration system under continuous low-temperature conditions, eliminates the hidden dangers of high-load operation of the compressor and damage to the evaporator structure caused by icing in traditional solutions, and solves the technical problems of excessive energy consumption and insufficient automation of the refrigeration system caused by icing in the prior art.

[0061] Furthermore, the present invention also improves the anti-interference performance of temperature drop rate measurement through the first-in-first-out storage and mean calculation technical features of the sliding time window; improves the credibility of trend judgment under low-temperature conditions through the gradual removal mechanism of abnormal sampling values; improves the data basis stability of icing risk identification and electronic expansion valve adjustment through the continuous output average temperature drop rate parameter; improves the early warning performance of evaporator icing through the temperature drop fluctuation coefficient calculation technical feature; breaks through the traditional 5°C temperature control lower limit through the initial abnormal fluctuation identification feature of ice crystals; and improves the temperature difference risk interval prediction and thermodynamic inertia compensation technical features. The system improves the accuracy of ice judgment and the performance of avoiding thermal interference; avoids invalid energy consumption of ice-melting in non-icing state through the temperature sequence trend verification mechanism; improves the accuracy of ice-melting endpoint judgment through the technical features of locking the ice-melting stable period and dynamic reference threshold; avoids invalid energy consumption caused by excessive or insufficient ice-melting through the fluctuation coefficient and the water temperature rising trend identification feature; improves the heat load matching accuracy in the system startup phase through the environmental compensation coefficient and the initial opening calculation technical feature of the cooling temperature difference; improves the cooling stability and ice-melting defense capability under variable working conditions through the dynamic adjustment technical feature of the subcooling degree or evaporating temperature difference.

[0062] The above-described embodiments merely represent several implementation methods of the present invention, and their descriptions are relatively specific and detailed, but they should not be construed as limiting the scope of the present invention. It should be noted that, for those skilled in the art, without departing from the concept of the present invention, several variations and improvements can be made, and equivalent structural transformations made using the contents of the present invention's description and drawings, or direct / indirect application in other related technical fields are all included within the scope of the present invention's patent protection. Therefore, the scope of protection of the present invention's patent shall be based on the appended claims.

[0063] It should be noted that, in the present invention, the embodiments implemented on the anti-icing refrigeration system side can be referenced with the embodiments implemented on the anti-icing refrigeration method side, and the present invention will not describe them one by one.

[0064] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. An anti-icing refrigeration method, characterized in that: Applicable to a refrigeration device, the refrigeration device includes a refrigerant circulation circuit, a water cylinder and a circulation pump; the refrigerant circulation circuit includes a compressor, an electronic expansion valve, a condenser and an evaporator connected in sequence; the outer wall of the evaporator is thermally connected to the side wall of the water cylinder, and the water inlet and outlet of the circulation pump are respectively arranged on the two inner side walls of the water cylinder, forming a water flow circuit inside the water cylinder; The anti-icing refrigeration method comprises the following steps: Step S100: collecting temperature data of the water inside the water tank in real time through a first temperature sensor disposed inside the water tank, and calculating a temperature dynamic parameter; the temperature dynamic parameter reflects the temperature change trend and stability; Step S200: dynamically adjusting the opening of the electronic expansion valve based on the temperature dynamic parameter to reduce the risk of freezing by controlling the refrigerant flow; Step S300: When the temperature dynamic parameter meets the preset ice triggering condition, executing an ice-defrosting cycle, the ice-defrosting cycle including: shutting down the compressor and the electronic expansion valve, and starting the circulation pump to drive water to circulate inside the water tank to defrost; Step S400: monitor the temperature dynamic parameters in real time during the defrosting cycle, dynamically adjust the duration of the defrosting cycle based on the temperature dynamic parameters, and determine whether the preset defrosting completion conditions are met based on the temperature dynamic parameters. If not, continue the defrosting cycle; if so, terminate the defrosting cycle, restart the compressor and the electronic expansion valve to resume the refrigeration cycle.

2. The anti-icing refrigeration method according to claim 1, characterized in that: In step S100, the step of collecting temperature data of the water inside the water tank in real time by using a first temperature sensor disposed inside the water tank and calculating temperature dynamic parameters includes: Step S110: acquiring temperature data of the water inside the water tank at a predetermined acquisition frequency through the first temperature sensor, and calculating an instantaneous temperature drop rate based on the temperature difference between adjacent time intervals; Step S120: continuously storing the instantaneous temperature drop rate in a sliding time window with a capacity of M, and removing the earliest historical data when new data is added to maintain the capacity of the sliding time window at M, where M is a natural number greater than or equal to 2; Step S130: Calculate the arithmetic mean of all instantaneous temperature drop rates within the current sliding time window to obtain an average temperature drop rate, and output it as a first temperature dynamic parameter.

3. The anti-icing refrigeration method according to claim 2, characterized in that: After step S130, the method further includes: Step S140: calculating, for each instantaneous temperature drop rate stored in the sliding time window, its absolute deviation from the first temperature dynamic parameter; Step S150: Calculate the arithmetic mean of the M absolute deviation values within the sliding time window to obtain a temperature drop fluctuation coefficient, and output it as a second temperature dynamic parameter.

4. The anti-icing refrigeration method according to claim 3, characterized in that: In step S300, the step of executing a defrosting cycle when the temperature dynamic parameter meets a preset freezing trigger condition includes: Step S310: When it is detected that the water temperature in the current water tank is lower than the predetermined freezing risk threshold and the difference from the set target water temperature is within the preset risk range, an freezing prediction signal is generated; Step S320: In response to the freezing prediction signal, the circulation pump is started to drive the water to circulate inside the water cylinder, the evaporator outlet temperature is continuously collected by the second temperature sensor provided at the evaporator outlet, and the water body temperature is continuously collected by the first temperature sensor, and the evaporator outlet temperature and the water body temperature are continuously stored within a verification time window with a capacity of N. When new data is added, the oldest historical data is removed to maintain the capacity of the sliding time window at N, where N is a natural number greater than or equal to 2; Step S330: If the water temperature sequence shows a downward trend as a whole, and the current evaporator outlet temperature is lower than the freezing alarm threshold, it is determined that the freezing trigger condition is met, the compressor and the electronic expansion valve are turned off, and the defrosting cycle is entered; otherwise, it is determined that the freezing trigger condition is not met, and the refrigeration cycle is continued.

5. The anti-icing refrigeration method according to claim 4, characterized in that: In step S400, the step of determining whether a preset defrosting completion condition is met based on the temperature dynamic parameter includes: Step S410: continuously acquiring the second temperature dynamic parameter and the water temperature sequence in the water tank during the ice-melting cycle; Step S420: When the second temperature dynamic parameter is continuously lower than the first predetermined fluctuation threshold, it is determined that the system enters a steady-state defrosting period; Step S430: After entering the ice-melting stable period, if the current water temperature sequence shows a monotonically increasing trend and the second temperature dynamic parameter is higher than a second predetermined fluctuation threshold, it is determined that the ice-melting completion condition is met.

6. The anti-icing refrigeration method according to any one of claims 1 to 5, characterized in that: In step S200, the step of dynamically adjusting the opening of the electronic expansion valve based on the temperature dynamic parameter includes: Step S210: obtaining the ambient temperature of the air through a third temperature sensor provided at a ventilation position of the refrigeration device housing, and calculating the initial opening value of the electronic expansion valve according to the current water temperature in the water tank, the ambient temperature, and the set target water temperature; Step S220: Obtain the pressure value and outlet temperature value of the condenser through the pressure sensor and the fourth temperature sensor set at the condenser outlet, and dynamically adjust the opening value of the electronic expansion valve based on the pressure value and outlet temperature value of the condenser; continuously collect the evaporator outlet temperature through the second temperature sensor set at the evaporator outlet, and dynamically adjust the opening value of the electronic expansion valve based on the evaporator outlet temperature and the set target water temperature.

7. The anti-icing refrigeration method according to claim 6, characterized in that: In step S210, the step of calculating the initial opening value of the electronic expansion valve according to the current water temperature in the water tank, the ambient temperature and the set target water temperature includes: Step S211: matching a pre-stored environmental compensation coefficient according to the ambient temperature range; Step S212: Calculating a cooling target temperature difference based on the set target water temperature and the current water temperature in the water tank, and generating an initial opening reference value based on the cooling target temperature difference and the environmental compensation coefficient; Step S213: performing boundary threshold determination on the initial opening reference value; if it exceeds the boundary limit of the opening effective range, setting the initial opening value to the boundary limit; otherwise, outputting the initial opening reference value as the initial opening value.

8. The anti-icing refrigeration method according to claim 6, characterized in that: In step S220, the step of dynamically adjusting the opening value of the electronic expansion valve based on the pressure value and the outlet temperature value of the condenser includes: Step S221: periodically obtaining the pressure value and outlet temperature value of the condenser based on a preset first time period, and calculating the condenser subcooling degree; Step S222: comparing the condenser subcooling degree with a preset subcooling degree threshold range; Step S223: Perform directional opening correction according to the comparison result: when the condenser subcooling is lower than a first subcooling threshold, perform a positive opening correction; when the subcooling is higher than a second subcooling threshold, perform a negative opening correction; wherein the first subcooling threshold is smaller than the second subcooling threshold.

9. The anti-icing refrigeration method according to claim 6, characterized in that: In step S220, the step of dynamically adjusting the opening value of the electronic expansion valve based on the evaporator outlet temperature and the set target water temperature includes: Step S224: periodically obtaining the evaporator outlet temperature through the fourth temperature sensor based on a preset second time period, and calculating a real-time deviation between the evaporator outlet temperature and the set target water temperature; Step S225: comparing the real-time deviation value with a preset temperature difference deviation threshold range; Step S226: Perform directional opening correction according to the comparison result: when the real-time deviation value is higher than the positive temperature difference threshold, perform positive opening correction; when the real-time deviation value is lower than the negative temperature difference threshold, perform negative opening correction; wherein the positive temperature difference threshold is a positive value, and the negative temperature difference threshold is a negative value.

10. An anti-icing refrigeration system, used to implement the anti-icing refrigeration method according to any one of claims 1 to 9, characterized in that: include: A data acquisition module is used to collect temperature data of the water inside the water tank in real time through a first temperature sensor provided inside the water tank, and calculate temperature dynamic parameters; the temperature dynamic parameters reflect the temperature change trend and stability; a dynamic adjustment module, which dynamically adjusts the opening of the electronic expansion valve based on the temperature dynamic parameter, thereby reducing the risk of freezing by controlling the refrigerant flow; a defrost execution module, configured to execute a defrost cycle when the temperature dynamic parameter satisfies a preset freezing trigger condition, the defrost cycle comprising: shutting down the compressor and the electronic expansion valve, and starting the circulation pump to drive water to circulate inside the water tank to defrost; A cycle scheduling module is used to monitor the temperature dynamic parameters in real time during the defrosting cycle, dynamically adjust the duration of the defrosting cycle based on the temperature dynamic parameters, and determine whether the preset defrosting completion conditions are met based on the temperature dynamic parameters. If not, the defrosting cycle is continued; if so, the defrosting cycle is terminated, and the compressor and the electronic expansion valve are restarted to resume the refrigeration cycle.

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