Temperature control method and system for low-temperature storage box

Abstract

The present invention relates to the field of data processing, and in particular to a temperature control method and system for a low-temperature storage box. The method comprises the steps of: obtaining a control timing sequence and a temperature timing sequence; calculating the proportional gain and control sensitivity of a PID algorithm according to the control timing sequence and the temperature timing sequence; calculating the long-term dependency according to the control sensitivity; setting the integral gain of the PID algorithm and the differential gain of the PID algorithm according to the long-term dependency; and controlling the temperature of a low-temperature storage box using a PID algorithm after resetting parameters. The present invention improves the reliability of the control value generated by the PID algorithm by setting appropriate parameters for the PID algorithm.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a temperature control method and system for a low-temperature storage box. Background Art

[0002] Low temperature storage boxes can be used for food preservation, biological sample storage, and special material preservation, so low temperature storage boxes play an important role in people's work and life. The temperature control of low temperature storage boxes is the key to ensure its function, so the temperature control of low temperature storage boxes is studied and analyzed below.

[0003] PID algorithm is a commonly used control algorithm for intelligent systems. This algorithm has high control accuracy. Therefore, the present invention adopts this algorithm to control the temperature of the low-temperature storage box. Since the PID algorithm is a control algorithm that combines the three links of proportion, integration and differentiation into one, in order to make the three links of proportion, integration and differentiation cooperate reasonably, it is necessary to set a reasonable parameter for each link of proportion, integration and differentiation. Traditionally, the parameters of the three links of proportion, integration and differentiation are set manually based on experience. At the same time, since the parameters set when the algorithm controls each system are different, the method of manually setting parameters has a low degree of automation and is difficult to promote on a large scale. Therefore, how to set more appropriate parameters for the three links of proportion, integration and differentiation has become the research focus of the present invention.

[0004] A temperature control algorithm is disclosed in a patent application document with publication number CN114546688A. The method in the patent application document adopts a PID algorithm for temperature control. However, the method in the patent application document uses a traditional method to set the parameters of the three links of proportion, integration and differentiation in the PID algorithm. Therefore, the method in the patent application document cannot solve the problem in the present invention. Summary of the invention

[0005] In order to solve the problem of how to set more appropriate parameters for the three links of proportion, integration and differentiation, the present invention provides a temperature control method and system for a low-temperature storage box.

[0006] In a first aspect, the present invention provides a method for controlling the temperature of a low-temperature storage box, which adopts the following technical solution:

[0007] A method for controlling the temperature of a low-temperature storage box comprises the following steps:

[0008] The temperature of the low-temperature storage box is controlled by using the PID algorithm after the parameters are initialized in advance, and the control timing sequence and temperature timing sequence of the low-temperature storage box are collected;

[0009] The temperature change sequence is obtained by subtracting each temperature in the temperature time series from the previous temperature, and the correlation between the control time series and the temperature change sequence is used as the proportional gain of the PID algorithm;

[0010] The ratio of the temperature change at each moment in the temperature change sequence to the control value at the same moment in the control time series is recorded as the control sensitivity; the long-term dependence is calculated: , split the time series composed of regulatory sensitivity into periodic components and trend components, The frequency spectrum data representing the periodic component The amplitude of the frequency component, The frequency spectrum data representing the periodic component The frequency of the frequency component, The frequency mean of all frequency components in the spectrum data representing the periodic component, The number of frequency components contained in the spectrum data representing the periodic component, Represents the autocorrelation of the changing values ​​of the data in the trend component, represents the hyperbolic tangent function; the integral gain of the PID algorithm is obtained by subtracting 1 from the proportional gain and then multiplying it by the long-term dependency, and the difference between 1 and the proportional gain and the integral gain is used as the differential gain of the PID algorithm;

[0011] The temperature of the low-temperature storage box is controlled using the PID algorithm with reset parameters.

[0012] The present invention sets appropriate parameters for the three links of proportion, integration and differentiation according to the control effect of the control values ​​obtained in the three links of proportion, integration and differentiation in the PID algorithm, so that accurate control values ​​can be calculated based on the set parameters; further, the correlation between the control time series and the temperature change series is used to accurately reflect the correlation between the control value and the temperature change, thereby proving that the control value of the proportional link can accurately control the temperature adjustment amount, thereby quickly eliminating the temperature error and regulating the low-temperature storage box to the desired temperature more quickly; further, by introducing the control sensitivity, the correlation between the control value and the temperature change is accurately reflected, so as to provide a reference for the subsequent analysis and regulation. The method provides a basis for the changing law of the correlation between the control value and the temperature change; further, by introducing long-term dependence, the regularity of the time series composed of the control sensitivity can be accurately reflected, so as to accurately determine the reliability of the control value obtained by the integral link using the overall changing law of the correlation between the control value and the temperature change, so as to set appropriate parameters for the integral link, realize faster elimination of temperature errors, and adjust the low-temperature storage box to the desired temperature; further, when calculating the long-term dependence, the frequency similarity of the periodic component of the time series composed of the control sensitivity and the autocorrelation of the trend component can be analyzed to accurately reflect the changing law of the correlation between the control value and the temperature change.

[0013] Preferably, the method for obtaining the correlation between the control timing sequence and the temperature change sequence includes:

[0014] The absolute value of the Pearson correlation coefficient between the regulation timing sequence and the temperature change sequence is taken as the correlation between the regulation timing sequence and the temperature change sequence.

[0015] The present invention reflects the relevant situation through the Pearson correlation coefficient, and the calculation method is not only simple but also highly accurate.

[0016] Preferably, splitting the time series consisting of the control sensitivity into a period component and a trend component comprises:

[0017] The ARIMA algorithm is used to split the time series composed of regulatory sensitivity into periodic components and trend components.

[0018] The present invention splits and analyzes the time series composed of the regulation sensitivity, splits the complex change law into multiple simple laws, and reduces the difficulty of measuring the change law.

[0019] Preferably, the spectrum data of the periodic component includes:

[0020] Performing Fourier transform on the periodic component obtains the spectrum data of the periodic component.

[0021] Preferably, the change value of the data in the trend component includes:

[0022] The difference between each data in the trend component and the previous data is taken as the change value of each data in the trend component.

[0023] The present invention reflects the change of data by making a difference, and its operation is simpler and the implementation efficiency is higher.

[0024] Preferably, the temperature control of the low-temperature storage box by using the PID algorithm after resetting the parameters includes:

[0025] The PID algorithm after resetting the parameters is used to generate the control values ​​at each subsequent moment, and the control values ​​at each subsequent moment are used to control the temperature of the low-temperature storage box.

[0026] The present invention uses a PID algorithm after resetting parameters to control the temperature of the low-temperature storage box, thereby improving the accuracy of subsequent temperature control of the low-temperature storage box.

[0027] Preferably, the method for obtaining the PID algorithm after the pre-initialization parameters comprises:

[0028] The proportional gain, integral gain and differential gain in the PID algorithm are respectively set to a preset initial proportional gain, a preset initial integral gain and a preset initial differential gain to obtain a PID algorithm after pre-initialization parameters.

[0029] In a second aspect, the present invention provides a temperature control system for a low-temperature storage box, which adopts the following technical solution:

[0030] A temperature control system for a low-temperature storage box includes: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the temperature control method of the low-temperature storage box is implemented.

[0031] By adopting the above technical solution, the temperature control method of the low-temperature storage box is generated into a computer program and stored in a memory to be loaded and executed by a processor, so that a terminal device is made according to the memory and the processor for easy use.

[0032] The present invention has the following technical effects:

[0033] The present invention sets appropriate parameters for the three links of proportion, integration and differentiation according to the control effect of the control values ​​obtained in the three links of proportion, integration and differentiation in the PID algorithm, so that accurate control values ​​can be calculated based on the set parameters;

[0034] Furthermore, the correlation between the control time series and the temperature change series is used to accurately reflect the correlation between the control value and the temperature change, thereby proving that the control value of the proportional link can accurately control the temperature adjustment amount, thereby quickly eliminating the temperature error and quickly adjusting the low-temperature storage box to the desired temperature;

[0035] Furthermore, by introducing control sensitivity, the correlation between the control value and the temperature change can be accurately reflected, thereby providing a basis for the subsequent analysis of the changing law of the correlation between the control value and the temperature change.

[0036] Furthermore, by introducing long-term dependence to accurately reflect the regularity of the time series composed of the control sensitivity, the reliability of the control value obtained by the integral link using the overall variation law of the correlation between the control value and the temperature change can be accurately determined, and appropriate parameters can be set for the integral link, so that the obtained control value can eliminate the temperature error more quickly and control the low-temperature storage box to the desired temperature;

[0037] Furthermore, when calculating the long-term dependence, the frequency similarity of the periodic component of the time series composed of the control sensitivity and the autocorrelation of the trend component are analyzed to accurately reflect the changing law of the correlation between the control value and the temperature change. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] By reading the detailed description below with reference to the accompanying drawings, the above and other purposes, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-restrictive manner, and the same or corresponding reference numerals represent the same or corresponding parts.

[0039] Figure 1 It is a flow chart of a method for controlling the temperature of a low-temperature storage box according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are 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 creative work are within the scope of protection of the present invention.

[0041] It should be understood that when the terms "first", "second", etc. are used in the claims, descriptions, and drawings of the present invention, they are only used to distinguish different objects, rather than to describe a specific order. The terms "include" and "comprise" used in the description and claims of the present invention indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their collections.

[0042] The embodiment of the present invention discloses a method for controlling the temperature of a low-temperature storage box, referring to Figure 1 , comprising steps S1 to S4:

[0043] S1: Use the PID algorithm with pre-initialized parameters to control the temperature of the low-temperature storage box, and collect the control timing sequence and temperature timing sequence of the low-temperature storage box.

[0044] S10: Obtain the PID algorithm after pre-initialization parameters.

[0045] It should be noted that currently, suitable parameters of the PID algorithm have not been obtained, so the preset values ​​are randomly given to initialize it, and then the suitable parameters are obtained according to its control effect.

[0046] Specifically, the proportional gain, integral gain and differential gain in the PID algorithm are set to a preset initial proportional gain, a preset initial integral gain and a preset initial differential gain, respectively. This embodiment is described by taking the preset initial proportional gain as 0.5, the preset initial integral gain as 0.25, and the preset initial differential gain as 0.25 as an example. Other embodiments may take other values, and this embodiment does not impose any specific restrictions.

[0047] It should be noted that the proportional gain, integral gain and differential gain are the parameters of the proportional, integral and differential links in the PID algorithm respectively.

[0048] S11: using a PID algorithm with pre-initialized parameters to control the temperature of the low-temperature storage box, and collecting the control timing sequence and temperature timing sequence of the low-temperature storage box.

[0049] Specifically, the PID algorithm after pre-initialization of parameters is used to generate the control value of the low-temperature storage box, and the generated control value is used to control the temperature of the low-temperature storage box. In this embodiment, the power of the compressor is used as the control value, and other embodiments may adopt other methods, which are not specifically limited in this embodiment.

[0050] The corresponding sensors are used to collect the control values ​​and temperature data of the low-temperature storage box at each moment, and the collected control values ​​at all moments are arranged in time sequence to obtain a control time series sequence; the collected temperature data at all moments are arranged in time sequence to obtain a temperature time series sequence.

[0051] S2: Subtract each temperature in the temperature time series from the previous temperature to obtain a temperature change sequence, and use the correlation between the control time series and the temperature change sequence as the proportional gain of the PID algorithm.

[0052] It should be noted that if the load of the low-temperature storage box is stable or there is no system fluctuation, the correlation between the control value of the low-temperature storage box and the temperature change is relatively large. For example, whether the storage capacity of the low-temperature storage box has increased during the observation period, the correlation between the control value of the low-temperature storage box and the temperature change is relatively large; if the load of the low-temperature storage box is unstable or there is a system fluctuation, the correlation between the control value of the low-temperature storage box and the temperature change is relatively small; for example, if the storage capacity in the low-temperature storage box has increased, the corresponding temperature change cannot be obtained using the same compression power as before, and thus the change in the load of the low-temperature storage box will cause the correlation between the control value and the temperature change to deteriorate.

[0053] It should be further explained that when the correlation between the control value and the temperature change is large, it means that based on the correlation between the control value and the temperature change, the control value can be used to more accurately predict the temperature change. The control value obtained by the proportional link in the PID algorithm is linearly related to the temperature error value. In other words, proportional control is performed according to the size of the error value. If the correlation between the control value and the temperature change is small, the proportional precise control cannot be accurately achieved. Therefore, a smaller parameter needs to be set for the proportional link, so that the control value generated in the proportional link in the PID algorithm accounts for a lower proportion of the total control value, so that its degree of determination on temperature control is smaller. For example, if the temperature error value at a certain moment is 10, the control value 2 is calculated according to the linear relationship between the control value and the temperature error value in the proportional link. Assuming that the temperature control amount under the unit control value is 5, if the load does not change or the system does not fluctuate, the temperature control amount under the unit control value at this moment does not change and remains 5. Based on this, the estimated temperature control amount is 10, which just reaches the expected temperature value. Therefore, if a larger parameter is set for the geometric link at this time, the calculated control value accounts for a larger proportion of the total control value, and it plays a greater role in temperature control, thereby reaching the expected temperature faster. However, if the load changes or the system fluctuates, the temperature control amount under the unit control value at this moment becomes 2 or 6. At this time, the temperature control amount at this moment is calculated to be 4 or 12. At this time, the temperature after control is still 6 or -2 away from the expected temperature, and better temperature control cannot be achieved. At this time, if a larger parameter is set for the geometric link, the calculated control value accounts for a larger proportion of the total control value, and it plays a greater role in temperature control, which makes it difficult to reach the expected temperature value.

[0054] Preferably, as an example, a method for obtaining the correlation between the control timing sequence and the temperature change sequence includes:

[0055] The absolute value of the Pearson correlation coefficient between the regulation timing sequence and the temperature change sequence is taken as the correlation between the regulation timing sequence and the temperature change sequence.

[0056] S3: The ratio of the temperature change at each moment in the temperature change sequence to the control value at the same moment in the control timing sequence is recorded as the control sensitivity; the long-term dependence is calculated; the integral gain of the PID algorithm is obtained by subtracting 1 from the proportional gain and then multiplying it by the long-term dependence, and the difference between 1 and the proportional gain and the integral gain is used as the differential gain of the PID algorithm.

[0057] It should be noted that the control value generated by the integral link in the PID algorithm has a linear relationship with the integral value of the error value at the previous moment. The integral value of the error value at the previous moment mainly reflects the overall law of temperature change at the previous moment. Therefore, the control value generated by the integral link has a greater correlation with the overall law of temperature change at the previous moment. The control value generated by the differential link of the PID algorithm has a linear relationship with the temperature change at the current moment. The temperature change at the analysis moment mainly reflects the temperature change law in the recent period. Therefore, the control value generated by the differential link has a greater correlation with the temperature change law in the recent period.

[0058] It should be further explained that, when the load does not change or the system does not fluctuate, the control value and the temperature change are in a linear relationship. In other words, the correlation characteristics of the control value-temperature change at the current moment are similar to the control value-temperature change at the previous moment. At this time, the correlation characteristics of the control value-temperature change at the previous moment can be directly used as the correlation characteristics of the control value-temperature change at the current moment, so that the control value at the current moment can be estimated more accurately based on the correlation characteristics of the control value-temperature change at the current moment and the temperature change. When the load changes or the system fluctuates, the linear characteristics of the control value and the temperature change are small. In other words, the similarity of the correlation characteristics of the control value-temperature change at the previous moment as the correlation characteristics of the control value-temperature change at the current moment is small. At this time, the correlation characteristics of the control value-temperature change at the previous moment cannot be used as the correlation characteristics of the control value-temperature change at the current moment. It is necessary to analyze the changing law of the correlation characteristics of the control value-temperature, so as to estimate the correlation characteristics of the control value-temperature change at the current moment, and then estimate the optimal control value. For example, the temperature error value at the current moment is -8. In order to adjust the current temperature to the expected temperature, the current temperature needs to be lowered by 8 degrees. Due to load changes or system fluctuations, the correlation characteristics of the control value-temperature change at the current moment are less similar to the control value-temperature change at the previous moment. Therefore, the correlation characteristics of the control value-temperature change at the previous moment cannot be used as the correlation characteristics of the control value-temperature change at the current moment. Furthermore, it is impossible to know how large the adjustment value should be set to lower the temperature by 8 degrees. Therefore, it is necessary to analyze the changing law of the correlation characteristics of the adjustment value-temperature change at the previous moment to estimate the control value at the current moment.

[0059] S30: Record the ratio of the temperature change amount at each moment in the temperature change sequence to the control value at the same moment in the control time sequence as the control sensitivity.

[0060] It should be noted that in order to analyze the changing regularity characteristics of the correlation characteristics of the control value-temperature change, it is necessary to first obtain the correlation characteristics of the control value-temperature change at each moment. This embodiment uses control sensitivity to reflect the correlation characteristics of the control value-temperature change at each moment.

[0061] S31: Calculate long-term dependencies.

[0062] It should be noted that, since the change in the error in the differential link reflects the latest change characteristics of the change law of the control value-temperature change correlation characteristic, the integral of the error in the integral link reflects the long-term change characteristics of the change law of the control value-temperature change correlation characteristic; in order to set appropriate parameters for the differential link and the integral link, it is necessary to analyze the reference quantity of the long-term change characteristics of the change law of the control value-temperature change correlation characteristic when predicting the control value-temperature change at the current moment, and the reference quantity of the latest change characteristics of the change law of the control value-temperature change correlation characteristic. When predicting the control value-temperature change at the current moment, if the reference quantity of the long-term change characteristics of the change law of the control value-temperature change correlation characteristic is large, and the reference quantity of the latest change characteristics of the change law of the control value-temperature change correlation characteristic is small, it is necessary to increase the parameters of the integral link, so that the long-term characteristics of the change law of the control value-temperature change correlation characteristic can be more involved in the prediction of the control value-temperature change at the current moment, thereby obtaining a more accurate control value. This embodiment uses long-term dependency to reflect the reference of the long-term change characteristics of the change law of the control value-temperature change correlation characteristic when predicting the control value-temperature change at the current moment.

[0063] Preferably, as an example, calculating the long-term dependency includes:

[0064]

[0065] Among them, the time series composed of regulatory sensitivity is split into periodic components and trend components. The frequency spectrum data representing the periodic component The amplitude of a frequency component. The larger the value, the more information about the frequency component is contained in the periodic component. The frequency spectrum data representing the periodic component The frequency of the frequency component, The frequency mean of all frequency components in the spectrum data representing the periodic component, So As a weight, the weighted variance of the frequency is calculated. The larger the value, the weaker the periodic regularity in the periodic component, which further indicates that the long-term regularity of the regulation sensitivity in the time series is poor. The number of frequency components contained in the spectrum data representing the periodic component, It indicates the autocorrelation of the change value of the data in the trend component. The larger the value, the stronger the change law of the trend component. Therefore, the long-term regularity of the control sensitivity in time series is stronger. represents the hyperbolic tangent function.

[0066] It should be added that splitting the time series consisting of regulatory sensitivity into a periodic component and a trend component includes: using the ARIMA algorithm to split the time series consisting of regulatory sensitivity to obtain a periodic component and a trend component.

[0067] The method for acquiring the spectrum data of the periodic component includes:

[0068] Performing Fourier transform on the periodic component obtains the spectrum data of the periodic component.

[0069] The method for obtaining the change value of the data in the trend component includes:

[0070] The difference between each data in the trend component and the previous data is taken as the change value of each data in the trend component.

[0071] S32: The integral gain of the PID algorithm is obtained by subtracting 1 from the proportional gain and then multiplying the difference by the long-term dependency, and the difference between 1 and the proportional gain and the integral gain is used as the differential gain of the PID algorithm.

[0072] It can be understood that the integral link reflects the long-term regularity of the regulation sensitivity. A larger long-term dependence indicates that the long-term regularity of the regulation sensitivity in time series is stronger, and the accuracy of the regulation value calculated by the integral link is stronger. Therefore, the reference value of the integral link needs to be set larger, so that the degree of determination of the regulation value calculated by the integral link is greater. When the long-term dependence is smaller, it means that the long-term regularity of the regulation sensitivity in time series is weaker, and the accuracy of the regulation value calculated by the integral link is worse. Therefore, the reference value of the integral link needs to be set smaller, so that the degree of determination of the regulation value calculated by the integral link is smaller.

[0073] S4: The temperature of the low-temperature storage box is controlled by using the PID algorithm after resetting the parameters.

[0074] Preferably, as an example, the temperature of the low-temperature storage box is controlled by using a PID algorithm after resetting parameters, including:

[0075] The PID algorithm after resetting the parameters is used to generate the control values ​​at each subsequent moment, and the control values ​​at each subsequent moment are used to control the temperature of the low-temperature storage box.

[0076] An embodiment of the present invention further discloses a temperature control system for a low-temperature storage box, including a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a temperature control method for the low-temperature storage box according to the present invention is implemented.

[0077] The above system also includes other components well known to those skilled in the art, such as a communication bus and a communication interface, and their configuration and functions are known in the art, so they will not be described in detail here.

[0078] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, a computer-readable storage medium may be any suitable magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory, a dynamic random access memory, a static random access memory, an enhanced dynamic random access memory, a high bandwidth memory, a hybrid storage cube, etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of the device or accessible or connectable to the device.

[0079] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

[0080] The above are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for controlling the temperature of a low-temperature storage box, characterized in that: Includes steps: The temperature of the low-temperature storage box is controlled by using the PID algorithm after the parameters are initialized in advance, and the control timing sequence and temperature timing sequence of the low-temperature storage box are collected; The temperature change sequence is obtained by subtracting each temperature in the temperature time series from the previous temperature, and the correlation between the control time series and the temperature change sequence is used as the proportional gain of the PID algorithm; The ratio of the temperature change at each moment in the temperature change sequence to the control value at the same moment in the control time series is recorded as the control sensitivity; the long-term dependence is calculated: , split the time series composed of regulatory sensitivity into periodic components and trend components, The frequency spectrum data representing the periodic component The amplitude of the frequency component, The frequency spectrum data representing the periodic component The frequency of the frequency component, The frequency mean of all frequency components in the spectrum data representing the periodic component, The number of frequency components contained in the spectrum data representing the periodic component, Represents the autocorrelation of the changing values ​​of the data in the trend component, represents the hyperbolic tangent function; the integral gain of the PID algorithm is obtained by subtracting 1 from the proportional gain and then multiplying it by the long-term dependency, and the difference between 1 and the proportional gain and the integral gain is used as the differential gain of the PID algorithm; The temperature of the low-temperature storage box is controlled by using the PID algorithm with reset parameters; The method for obtaining the correlation between the control timing sequence and the temperature change sequence includes: The absolute value of the Pearson correlation coefficient between the regulation timing sequence and the temperature change sequence is taken as the correlation between the regulation timing sequence and the temperature change sequence.

2. The temperature control method of the low-temperature storage box according to claim 1, characterized in that: The method of splitting the time series composed of the control sensitivity into a period component and a trend component includes: The ARIMA algorithm is used to split the time series composed of regulatory sensitivity into periodic components and trend components.

3. The temperature control method of the low-temperature storage box according to claim 1, characterized in that: The spectrum data of the periodic component includes: Performing Fourier transform on the periodic component obtains the spectrum data of the periodic component.

4. The temperature control method of the low-temperature storage box according to claim 1, characterized in that: The change value of the data in the trend component includes: The difference between each data in the trend component and the previous data is taken as the change value of each data in the trend component.

5. The temperature control method of the low-temperature storage box according to claim 1, characterized in that: The method of controlling the temperature of the low-temperature storage box by using the PID algorithm after resetting the parameters includes: The PID algorithm after resetting the parameters is used to generate the control values ​​at each subsequent moment, and the control values ​​at each subsequent moment are used to control the temperature of the low-temperature storage box.

6. The temperature control method of the low-temperature storage box according to claim 1, characterized in that: The method for obtaining the PID algorithm after the pre-initialization parameters comprises: The proportional gain, integral gain and differential gain in the PID algorithm are respectively set to a preset initial proportional gain, a preset initial integral gain and a preset initial differential gain to obtain a PID algorithm after pre-initialization parameters.

7. The temperature control system of the low-temperature storage box is characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the temperature control method of the low-temperature storage box according to any one of claims 1 to 6 is implemented.

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