Wine cabinet compressor adaptive control method and system based on environmental parameters

Abstract

The present application relates to the technical field of refrigeration equipment control, and particularly relates to a wine cabinet compressor adaptive control method and system based on environmental parameters. The method comprises the following steps: collecting the external environmental temperature of the wine cabinet, the actual internal temperature and the target storage temperature set by the user in real time; constructing an environmental heat potential energy index representing the intensity of external environmental heat invasion by calculating the static deviation characteristic and the dynamic change rate characteristic of the environmental temperature; based on the environmental heat potential energy index, correcting the proportional coefficient of the PID control algorithm in real time, and then combining the preset integral coefficient and the differential coefficient, calculating the compressor control amount through the PID algorithm and mapping it into the target operating frequency to drive the wine cabinet compressor to operate, thereby realizing adaptive control of the wine cabinet compressor based on environmental parameters. The present application can actively perceive the change of environmental heat load, eliminate control lag, suppress heat shock while taking into account the smoothness of steady-state operation, and improve the control accuracy of the wine cabinet compressor.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of refrigeration equipment control, and in particular to a wine cabinet compressor adaptive control method and system based on environmental parameters. BACKGROUND

[0002] As a high-end refrigeration equipment for storing red wine, cigars and other extremely sensitive to temperature and humidity, the core technical index of the wine cabinet is to maintain the constancy of the micro environment in the box. In the existing technical solutions, the mainstream variable frequency wine cabinet adopts a proportional-integral-derivative (PID) control algorithm to adjust the operating frequency of the compressor, and usually adopts a static mapping strategy, that is, a set of fixed PID parameters are preset at the factory, or a number of intervals are divided according to the absolute value of the environmental temperature, and different fixed parameters are called in different intervals.

[0003] However, the static mapping strategy has a certain lag in response to environmental heat shock. The traditional PID control algorithm only focuses on the current environmental temperature, but ignores the speed at which the environment is heating up. When the sun is directly shining in the summer afternoon or the indoor heating is turned on, causing the environmental temperature to rise rapidly, the rate at which external heat penetrates the thermal insulation layer accelerates nonlinearly. The traditional feedback control can only passively increase the compressor speed after the heat has invaded the box and caused the temperature in the box to rise, resulting in a significant overshoot of the temperature in the box and disrupting the aging process of the red wine. In addition, the traditional PID control algorithm lacks a feedforward defense mechanism, and it is difficult to balance the steady state and dynamic performance with fixed control parameters. The box structure and load of the wine cabinet have a large thermal inertia, and the fixed parameter PID control algorithm cannot establish sufficient cold defense in the moment of environmental temperature mutation, resulting in a large temperature fluctuation range. In order to suppress the temperature rise at high temperatures, a large proportional gain is required, but maintaining a large proportional gain will cause the compressor speed to fluctuate violently under mild working conditions, increasing noise and energy consumption. The traditional PID control algorithm cannot find a dynamic balance point between rapid refrigeration and smooth operation, thereby affecting the control accuracy of the wine cabinet compressor. SUMMARY

[0004] In order to solve the problem of response lag, lack of feedforward defense and difficulty in balancing steady state and dynamic state of the traditional PID control algorithm, thereby affecting the control accuracy of the wine cabinet compressor, the present application provides a wine cabinet compressor adaptive control method and system based on environmental parameters.

[0005] In the first aspect, the present application provides a wine cabinet compressor adaptive control method based on environmental parameters, which adopts the following technical solution:

[0006] The wine cabinet compressor adaptive control method based on environmental parameters comprises the following steps: collecting the environmental temperature outside the wine cabinet, the actual temperature inside the wine cabinet and the target storage temperature set by the user in real time; calculating the static deviation characteristic of the environmental temperature relative to the reference working condition temperature and the dynamic change rate characteristic of the environmental temperature changing with time, constructing the environmental heat potential energy index representing the intensity of external environmental heat invasion based on the nonlinear coupling of the static deviation characteristic and the dynamic change rate characteristic; based on the environmental heat potential energy index, using a continuous nonlinear adjustment strategy to real-time correct the proportional coefficient of the PID control algorithm to obtain an adaptive proportional coefficient, which increases with the increase of the environmental heat potential energy index; using the adaptive proportional coefficient, combining the preset integral coefficient and differential coefficient, calculating the control amount of the wine cabinet compressor through the PID control algorithm, and mapping the control amount to the target operating frequency to drive the compressor to operate, thereby realizing the adaptive control of the wine cabinet compressor.

[0007] The beneficial effects are as follows: by analyzing the static deviation of the environmental temperature relative to the reference working condition and the dynamic change rate with time, an evaluation model of the environmental heat potential energy index is constructed, which can effectively predict the trend and intensity of external heat invasion and provide a scientific basis for the feedforward control; through the nonlinear coupling of the static deviation characteristic and the dynamic change rate characteristic, the comprehensive evaluation of the environmental heat shock is realized, which can accurately reflect the current state and change trend of the environmental temperature and overcome the limitation of the traditional PID control which only focuses on the current temperature; based on the continuous nonlinear adjustment strategy of the environmental heat potential energy index, the adaptive adjustment of the PID proportional coefficient is realized, when the environmental heat potential energy index increases, the adaptive proportional coefficient increases accordingly, the system response speed is improved, when the heat potential energy index decreases, the proportional coefficient decreases, and over-regulation is avoided; the invention effectively solves the hysteresis problem of the traditional PID control, realizes the active response to the change of the environmental temperature through the feedforward defense mechanism, realizes the dynamic balance between fast refrigeration and stable operation through adaptive parameter adjustment, improves the control precision and energy efficiency ratio of the wine cabinet compressor, and provides a reliable temperature environment for the stable aging of red wine.

[0008] Further, the environmental temperature is the environmental temperature after smoothing filtering processing.

[0009] Further, the smoothing filtering processing adopts a sliding window moving average algorithm to eliminate random noise.

[0010] Further, the environmental heat potential energy index satisfies:

[0011] ; in the formula, is the environmental heat potential energy index at the current time , and is the environmental heat potential energy index at the previous time a static deviation feature of the ambient temperature at the current moment from a reference working temperature, an ambient temperature at the current moment a dynamic change rate feature of the ambient temperature over time, an ambient temperature at the current moment a reference ambient temperature, a normalization constant, a static pressure index, a dynamic impact factor, an ambient temperature at the current moment a length of a time window for trend calculation, a natural exponential function, a linear rectifier function, an absolute value symbol. The beneficial effect is that by constructing a composite function containing a static deviation power function and a dynamic change rate exponential term, the scientific evaluation of the environmental thermal potential energy index is realized, and the current state and change trend of the ambient temperature are comprehensively considered; the static deviation term reflects the deviation degree of the current ambient temperature from the reference, the power function ensures the nonlinear amplification effect of the deviation, the dynamic change rate term reflects the acceleration characteristics of the temperature change, the linear rectifier function ensures that only the temperature rising trend is considered, the dynamic impact factor controls the influence intensity of the change rate on the thermal potential energy index, and the time window ensures the stability of the trend calculation, which can sensitively capture the rapid change of the ambient temperature and provide accurate prediction basis for the feedforward control.

[0012] Further, the linear rectifier function is defined as

[0013] to ensure that a multiplication effect is only generated when the ambient temperature rises, wherein is a maximum function. The beneficial effect is that in the wine cabinet control scene, the main concern is the temperature rise caused by external heat intrusion, and the ambient temperature drop usually does not cause negative effects on the temperature in the box, therefore, only the temperature rising trend is responded to, and unnecessary adjustment when the temperature drops is avoided.

[0014] Further, the static pressure index has a value range satisfying

[0015] to make the environmental thermal potential energy index present an exponential sensitivity to high temperature difference. Further, the dynamic impact factor has a value satisfying

[0016] to set the sensitivity of the system to the temperature rising speed. ​​

[0017] Further, the adaptive proportional coefficient satisfies:

[0018] ; wherein, is the adaptive proportional coefficient at the current moment , is the upper limit value of the proportional coefficient, is the proportional coefficient of the PID control algorithm, is the environmental adaptation gain coefficient, is the environmental thermal potential index at the current moment , is the sensitivity amplification factor, is the temperature difference compensation coefficient, is the actual temperature in the cabinet at the current moment , is the target storage temperature, is the natural logarithm function, is the minimum value function, is the maximum value function.

[0019] The beneficial effects are that: by constructing a composite function containing an environmental adaptation term and a temperature difference compensation term, the comprehensive adjustment of the adaptive proportional coefficient is realized, both the influence of environmental heat invasion and the compensation of current temperature deviation are considered; the environmental adaptation term ensures the smooth growth of the proportional coefficient through the natural logarithm function, avoiding excessive adjustment when the environmental thermal potential index is too large, the sensitivity amplification factor adjusts the sensitivity of environmental response, the environmental adaptation gain coefficient controls the overall adjustment intensity, the temperature difference compensation term is activated when the cabinet temperature exceeds the target temperature, providing additional control gain to quickly cool down, the upper limit of the proportional coefficient ensures the reasonable range of the control parameter, avoiding system instability caused by excessive adjustment, thereby realizing intelligent balance between environmental disturbance and temperature deviation, when the environmental heat invasion is serious, the proportional coefficient increases to enhance the feedforward defense; when the cabinet temperature is out of limit, additional compensation ensures quick response, when the environment is stable, the proportional coefficient returns to the basic value to maintain stable operation, improving the adaptability and stability of the wine cabinet compressor control.

[0020] Further, the control quantity satisfies:

[0021] ; wherein, is the control quantity of the wine cabinet compressor at the current moment , is the adaptive proportional coefficient at the current moment , and are the integral coefficient and the differential coefficient of the PID control algorithm, respectively, is the current moment a difference between the actual temperature in the cabinet and the target storage temperature, a difference between the actual temperature in the cabinet and the target storage temperature at the previous time.

[0022] The beneficial effect is that: by constructing a PID control amount calculation model containing an adaptive proportional term, an integral term and a differential term, intelligent improvement of the traditional PID algorithm is realized, the environmental adaptive ability is introduced while the excellent control characteristics of the PID algorithm are maintained; the introduction of the adaptive proportional coefficient enables the proportional action to be dynamically adjusted according to the environmental heat invasion intensity, when the environmental heat potential energy index is high, the proportional coefficient is increased to improve the response ability of the system to environmental disturbance, when the environment is stable, the proportional coefficient is reduced to avoid excessive regulation.

[0023] In the second aspect, the present application provides an adaptive control system for a wine cabinet compressor based on environmental parameters, which adopts the following technical scheme:

[0024] The adaptive control system for a wine cabinet compressor based on environmental parameters comprises a processor and a memory, and the memory stores computer program instructions, which realize the adaptive control method for a wine cabinet compressor based on environmental parameters when executed by the processor.

[0025] By adopting the above technical scheme, the adaptive control method for a wine cabinet compressor based on environmental parameters is generated into a computer program and stored in the memory to be loaded and executed by the processor, so that a terminal device is made according to the memory and the processor, and convenient use is achieved.

[0026] The present application has the following technical effects:

[0027] (1) The traditional PID control algorithm only relies on the feedback of the actual temperature in the box and ignores the trend of environmental temperature change, and the feedforward sensing ability is constructed by an environmental heat potential energy index, which integrates the static deviation and the dynamic change rate of the environmental temperature and nonlinearly couples to represent the intensity of external heat invasion, such as rapid temperature rise caused by direct sunlight in summer, which will cause the heat potential energy index to rise sharply, compared with the passive response control logic after the traditional box temperature rises, the present application can predict the heat shock risk in advance, increase the compressor cooling capacity in advance when the heat has not invaded the box, establish an active defense barrier, solve the problem of temperature overshoot in the box caused by the lag of the traditional feedback control, and avoid the destruction of the red wine aging process.

[0028] (2) Break through the contradiction of large coefficient leading to mild working condition oscillation and small coefficient leading to insufficient response to thermal shock in traditional PID control algorithm, realize continuous nonlinear correction of proportional coefficient based on environmental thermal potential energy index; when the environmental thermal potential energy index is high, such as thermal shock scene, the adaptive proportional coefficient is increased synchronously, the compressor quickly increases the operating frequency, outputs enough cold capacity to resist nonlinear thermal invasion, and avoids temperature fluctuation expansion; when the environmental thermal potential energy index is low, such as mild working condition, the adaptive proportional coefficient maintains a moderate level, and the compressor speed runs stably to avoid the speed oscillation caused by too large proportional coefficient; the dynamic adaptation mechanism accurately balances the demand for rapid refrigeration and stable operation, and solves the problem that traditional fixed parameters cannot balance steady state and dynamic performance.

[0029] (3) Accurate evaluation of environmental thermal potential energy index on static temperature difference and dynamic change rate can effectively respond to nonlinear thermal invasion of external environment, such as progressive warming after turning on the heater and sudden warming under direct sunlight, combined with real-time adjustment of adaptive PID control algorithm, can control the temperature fluctuation in the cabinet to a very small range, compared with the large temperature fluctuation and low control precision caused by fixed parameters in traditional PID control algorithm, the present application can meet the requirements of constant temperature and humidity for red wine aging, improve the stability and precision of temperature control, and protect the storage quality of red wine.

[0030] (4) Under mild working condition, the adaptive proportional coefficient maintains a reasonable level, avoiding the compressor speed oscillation caused by long-term large proportional gain of traditional PID control algorithm to respond to thermal shock, and the stable speed operation reduces mechanical wear and noise; at the same time, accurate cold capacity output matching avoids invalid energy consumption, such as excessive refrigeration caused by traditional large proportional gain, realizes the dual requirements of accurate temperature control and energy saving and noise reduction, and improves the user experience. BRIEF DESCRIPTION OF DRAWINGS

[0031] Figure 1 is the method flow chart of the wine cabinet compressor adaptive control method based on environmental parameters in the embodiment of the present application.

[0032] Figure 2 is the dynamic sensing schematic diagram of thermal potential energy index in the environmental thermal shock process of the wine cabinet compressor adaptive control method based on environmental parameters in the embodiment of the present application.

[0033] Figure 3 is the temperature stability comparison schematic diagram of the wine cabinet under strong thermal shock in the wine cabinet compressor adaptive control method based on environmental parameters in the embodiment of the present application.

[0034] Figure 4 is the adaptive adjustment process schematic diagram of the proportional coefficient of the PID control algorithm in the wine cabinet compressor adaptive control method based on environmental parameters in the embodiment of the present application. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person skilled in the art without creative work fall within the protection scope of the present application.

[0036] The embodiments of the present application disclose an environmental parameter-based wine cabinet compressor adaptive control method, referring to Figure 1 , comprising steps S001-S004:

[0037] S001: Real-time collection of an environmental temperature outside a wine cabinet, an actual temperature inside the wine cabinet, and a target storage temperature set by a user.

[0038] The control system collects running data in real time through a hardware layer, and the sampling frequency is set to , for example, 1 Hz. The collected data includes: a real-time environmental temperature obtained by a temperature sensor arranged outside the wine cabinet, for example, an NTC temperature sensor ; an actual temperature inside the wine cabinet obtained by a high-precision temperature sensor arranged at a return air inlet of the wine cabinet ; and a target storage temperature set by the user .

[0039] Specifically, in order to eliminate random noise caused by electronic components and prevent pseudo-pulse from being generated in subsequent differential operation, a sliding window smoothing filter processing is performed on the collected original environmental temperature sequence, for example, a moving average algorithm is used to obtain a smoothed environmental temperature sequence, denoted as ; for example, if the environmental temperatures collected at three continuous time points are , , , and the size of the sliding window is 3, then the smoothed environmental temperature at the current time point is . In this way, through the collection and smoothing processing of the environmental temperature data, accurate and stable environmental temperature basic data can be obtained, and misjudgment caused by sensor noise is avoided, thereby providing reliable data support for subsequent accurate calculation of thermal potential energy.

[0040] S002: According to the smoothed environmental temperature sequence, a static deviation feature of the environmental temperature relative to a reference working condition temperature and a dynamic change rate feature of the environmental temperature changing with time are calculated, and based on the nonlinear coupling of the static deviation feature and the dynamic change rate feature, an environmental thermal potential energy index representing the intensity of external environmental heat invasion is constructed.

[0041] It should be noted that, in order to accurately identify thermal shock events, this step constructs a dimensionless comprehensive evaluation index, defined as the environmental thermal potential energy index, denoted as . , The physical meaning is the thermal intrusion pressure exerted by the external environment on the insulation layer of the wine cabinet at the current moment.

[0042] Specifically, the environmental thermal potential energy index satisfies:

[0043] ;

[0044] In the formula, For the current moment The environmental thermal potential energy index; For the current moment The static deviation characteristics of ambient temperature relative to the reference operating temperature; For the current moment The dynamic rate of change of ambient temperature over time; The reference ambient temperature is preferred. At this temperature, the wine cabinet is at its thermal equilibrium design point; This is a normalization constant used to map the temperature difference to a dimensionless range. Its core purpose is to ensure that the normalization ratio corresponding to the maximum temperature difference that may be encountered within the design life of the wine cabinet does not exceed 1, such as taking a value of 40. This is a static pressure index, and its value range is typically [value range missing]. This index makes It exhibits exponential sensitivity to temperature differences; This is a dynamic impact factor, and its value range is typically [value range missing]. This factor determines the system's sensitivity to the rate of temperature increase; For a moment Ambient temperature; The length of the time window for trend calculation, such as 10 seconds, is used to calculate the difference; It is a natural exponential function; It is a linear rectified function, i.e. The introduction of this function gives the system a one-way sensitivity, that is, only when the ambient temperature rises and the rate of change is positive will the exponential term be greater than 1 and produce a multiplication effect to simulate thermal shock. When the ambient temperature drops, the exponential term is locked at 1 to prevent the system from making an incorrect forced cooling action when the environment gets cold. It is the absolute value symbol.

[0045] To more intuitively understand the relationship of the environmental thermal potential energy index, for example, , , , , , The unit is designed to offset dimensions.

[0046] Scenario 1: Under steady-state high temperature, the ambient temperature remains stable at... At this time, the static deviation term is Its square is Since the temperature is stable, the rate of change is 0. ,therefore, This indicates the existence of a certain static heat load.

[0047] Scenario 2: During thermal shock, the ambient temperature drops from [temperature value missing] within 10 seconds. Quickly rise to At this time, the static deviation term Its square is a local minimum. However, the dynamic rate of change is characterized as The exponent term is ,at this time The value is still small, but if the temperature continues to rise, for example, if the temperature has already risen to... And still in If the speed increases, then Compared to steady-state high temperature It increased by nearly three times, demonstrating a strong sensitivity to dynamic changes.

[0048] In summary, by constructing an environmental thermal potential energy index that includes static deviation and dynamic rate of change characteristics, it is possible to comprehensively assess the thermal intrusion pressure of the external environment. In particular, when the ambient temperature rises rapidly, it can generate an early warning signal, solving the problem that relying solely on static temperature cannot detect the rate of thermal shock.

[0049] S003: Based on the environmental thermal potential energy index, the proportional coefficient of the PID control algorithm is corrected in real time using a continuous nonlinear adjustment strategy to obtain an adaptive proportional coefficient, which increases as the environmental thermal potential energy index increases.

[0050] It should be noted that obtaining the environmental thermal potential energy index Afterwards, the control system no longer uses fixed PID parameters, but instead... Real-time calculation of the current moment Optimal scaling factor The core logic of the adjustment is: when An increase in temperature indicates that the environment is extremely hot or rapidly heating up, requiring a significant increase in system rigidity, i.e., increasing the... This forces the compressor to respond to minute temperature differences within the chamber at extremely high frequencies; conversely, when When it is low, it needs to be reduced. To achieve flexible and quiet operation.

[0051] Specifically, the adaptive scaling factor satisfies:

[0052] ;

[0053] In the formula, For the current moment The adaptive scaling factor; This represents the upper limit of the proportionality coefficient; This is the proportional coefficient of the PID control algorithm under the reference operating conditions; a smaller value is chosen to ensure steady-state accuracy. The environmental adaptation gain coefficient determines the magnitude of how the parameters of the PID control algorithm follow changes in environmental thermal potential energy. This is the sensitivity amplification factor, used for adjustment. The scope of a logarithmic function; The natural logarithm function is introduced to smooth the control action during thermal shock. It may experience explosive growth, through logarithmic mapping. The change curve becomes smooth, which can respond quickly without causing mechanical shock to the compressor; This is the temperature difference compensation coefficient; The temperature difference feedback term is used to ensure that the gain is added only when the actual temperature inside the cabinet is indeed higher than the target storage temperature, i.e., when cooling is required. If the actual temperature inside the cabinet is already lower than the target storage temperature, the temperature difference feedback term is 0 to prevent over-cooling.

[0054] To more intuitively understand the relationship of the environmental thermal potential energy index, for example, , , , , And continue to use the scene data from step S002.

[0055] Scenario 1: At steady-state high temperature, Assuming the temperature difference inside the chamber is 0, ,because ,at this time The limit of 20 indicates that the system maintains its strongest defense under high-temperature steady-state conditions.

[0056] Scenario 2: In the initial stage of thermal shock, Due to the rapid temperature surge, the calculated It will also rise rapidly through a logarithmic curve, thus enhancing control before the temperature rises significantly.

[0057] In summary, by using a nonlinear logarithmic adjustment law to correct the proportional coefficient in real time, it is possible to ensure the control response speed while avoiding system oscillations caused by parameter mutations, thus achieving a smooth transition from flexible control to rigid control.

[0058] S004: Using an adaptive proportional coefficient, combined with preset integral and derivative coefficients, the control quantity of the wine cabinet compressor is calculated through a PID control algorithm, and the control quantity is mapped to a target operating frequency to drive the compressor to run, thereby realizing adaptive control of the wine cabinet compressor.

[0059] Specifically, using an adaptive scaling factor Combined with preset integral coefficients and differential coefficients Substitute into the incremental PID control algorithm:

[0060] ;

[0061] In the formula, For the current moment Control parameters for the wine cooler compressor For the current moment The adaptive scaling factor, and These are the integral and derivative coefficients of the PID control algorithm, respectively. For the current moment The difference between the actual temperature inside the cabinet and the target storage temperature. This is the difference between the actual temperature inside the cabinet and the target storage temperature at the previous moment.

[0062] Among them, the calculated control quantity Linearly mapped to the target operating frequency of the variable frequency compressor ,For example, The compressor is driven by a variable frequency drive board to complete a closed-loop control cycle, thus realizing adaptive control of the compressor based on environmental parameters.

[0063] To verify the technical effects of the present invention, such as Figure 2 As shown, during environmental thermal shock, at the moment the ambient temperature begins to rise, thanks to the contribution of the dynamic rate of change term, the thermal potential energy index exhibits an explosive growth trend, and after the temperature stabilizes, it smoothly falls back to a relatively high steady-state value. The advanced response characteristics are the basis for achieving active defense.

[0064] like Figure 3 As shown, under strong thermal shock, the internal temperature of the existing technology chamber runs out of control significantly, with the peak temperature reaching approximately [missing information]. Deviating from the setting The objective; however, the temperature change curve inside the chamber of this invention exhibits higher stability, with a peak value of only [missing information]. It fluctuates around 100 degrees Celsius, and its fluctuations are minimal during the steady state.

[0065] likeFigure 4 the proportional coefficient The continuous change process over time shows that during the period when the thermal shock occurs, Rapidly and smoothly climbs from the base value to a high level, when the ambient temperature is stable, And automatically falls back and maintains at a level adapted to the current high temperature environment, no mutation throughout the shock.

[0066] In summary, by applying the adaptive adjusted proportional coefficient of the PID control algorithm to the actual control loop, the cooling capacity output by the wine cabinet compressor can be accurately matched with the current environmental thermal load and the demand inside the cabinet, and finally the high-precision constant control of the temperature inside the cabinet is realized, and the storage performance of the wine cabinet is improved.

[0067] The embodiment of the present application also discloses a wine cabinet compressor adaptive control system based on environmental parameters, comprising a processor and a memory, and the memory stores computer program instructions, which realize the wine cabinet compressor adaptive control method based on environmental parameters according to the present application when the computer program instructions are executed by the processor.

[0068] The above system also includes a communication bus and a communication interface and other components familiar to those skilled in the art, the setting and function of which are known in the art, and therefore will not be repeated here.

[0069] The above are the preferred embodiments of the present application, not limited to the protection scope of the present application, therefore: any equivalent changes made according to the structure, shape, principle of the present application should be covered within the protection scope of the present application.

Claims

1. An adaptive control method for a wine cabinet compressor based on environmental parameters, characterized in that, include: Real-time monitoring of the ambient temperature outside the wine cabinet, the actual temperature inside the wine cabinet, and the target storage temperature set by the user. The static deviation characteristics of ambient temperature relative to the reference operating temperature and the dynamic rate of change of ambient temperature over time are calculated. Based on the nonlinear coupling of the static deviation characteristics and the dynamic rate of change characteristics, an environmental thermal potential energy index characterizing the intensity of external environmental thermal intrusion is constructed. Based on the aforementioned environmental thermal potential energy index, the proportional coefficient of the PID control algorithm is corrected in real time using a continuous nonlinear adjustment strategy to obtain an adaptive proportional coefficient that satisfies: , For the current moment The adaptive scaling factor, This is the upper limit of the proportionality coefficient. The proportional coefficient of the PID control algorithm. For environmental adaptation gain coefficient, For the current moment The environmental thermal potential energy index, This is the sensitivity amplification factor. This is the temperature difference compensation coefficient. For the current moment The actual temperature inside the cabinet, For the target storage temperature, It is the natural logarithm function. It is a minimum value function. It is a function of maximum value; the adaptive proportional coefficient increases as the environmental thermal potential energy index increases; By using an adaptive proportional coefficient, combined with preset integral and derivative coefficients, a PID control algorithm is used to calculate the control quantity of the wine cabinet compressor, and the control quantity is mapped to a target operating frequency to drive the compressor to run, thereby realizing the adaptive control of the wine cabinet compressor.

2. The adaptive control method for a wine cabinet compressor based on environmental parameters according to claim 1, characterized in that, The ambient temperature is the ambient temperature after smoothing and filtering.

3. The adaptive control method for a wine cabinet compressor based on environmental parameters according to claim 2, characterized in that, The smoothing filtering process employs a sliding window moving average algorithm to eliminate random noise.

4. The adaptive control method for a wine cabinet compressor based on environmental parameters according to claim 1, characterized in that, The environmental thermal potential energy index satisfies: ； In the formula, For the current moment The environmental thermal potential energy index, For the current moment The static deviation characteristics of ambient temperature relative to the reference operating temperature. For the current moment The dynamic rate of change of ambient temperature over time. For the current moment Ambient temperature, Based on ambient temperature, The normalization constant is This is a static pressure index. As a dynamic impact factor, For a moment Ambient temperature, The length of the time window for calculating the trend. It is a natural exponential function. It is a linear rectified function. It is the absolute value symbol.

5. The adaptive control method for a wine cabinet compressor based on environmental parameters according to claim 4, characterized in that, The linear rectification function Defined as This is used to ensure that the multiplication effect only occurs when the ambient temperature rises, where, It is a function for maximizing the value.

6. The adaptive control method for a wine cabinet compressor based on environmental parameters according to claim 4, characterized in that, The static pressure index The range of values ​​satisfies This is used to make the environmental thermal potential energy index exhibit exponential sensitivity to temperature differences.

7. The adaptive control method for a wine cabinet compressor based on environmental parameters according to claim 4, characterized in that, The dynamic impact factor The value of satisfies This is used to set the system's sensitivity to the rate of temperature increase.

8. The adaptive control method for a wine cabinet compressor based on environmental parameters according to claim 1, characterized in that, The control quantity satisfies: ； In the formula, For the current moment Control parameters for the wine cooler compressor For the current moment The adaptive scaling factor, and These are the integral and derivative coefficients of the PID control algorithm, respectively. For the current moment The difference between the actual temperature inside the cabinet and the target storage temperature. This is the difference between the actual temperature inside the cabinet and the target storage temperature at the previous moment.

9. An adaptive control system for a wine cabinet compressor based on environmental parameters, characterized in that, include: A processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement the adaptive control method for a wine cooler compressor based on environmental parameters according to any one of claims 1-8.

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