Test box environment temperature control method and system for high-temperature aging test

Abstract

The invention relates to the technical field of temperature control, in particular to a test box environment temperature control method and system for a high-temperature aging test, and the method comprises the steps: collecting environment temperature data of a test box and power data of a heating part, calculating the deviation degree of the environment temperature data, and calculating the deviation degree of the environment temperature data; setting an initial softening factor for the difference of the ambient temperature data using generalized predictive control; the local stability of environment temperature data in a window is evaluated by establishing the window, and the change rate of power data of the test box is calculated; and correcting the initial softening factor according to the change rate and the local stability to obtain a significant softening factor, and taking the significant softening factor as a control weight so as to adjust the environment temperature data of the test box at the next moment. According to the method, the control weight is dynamically adjusted through the self-adaptive initial softening factor, and the stability and reliability of environment temperature control are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature control, and more specifically, to a method and system for controlling the environmental temperature of a test chamber for high-temperature aging testing. Background Art

[0002] High temperature test chamber is a test that exposes the sample to a high temperature and dry air environment. Its purpose is to determine the adaptability of military and civilian equipment to storage and operation under high temperature conditions. It is used for screening, aging tests, life tests, accelerated life tests, evaluation tests of LEDs, components and complete machines, and plays an important role in the verification of failure analysis. Among them, the high temperature aging test chamber can detect potential faults in advance by simulating a high temperature environment, improve the stability and reliability of the product, and thus meet the market demand for high-quality products. However, the temperature control of the high temperature aging test chamber faces many challenges.

[0003] The existing Chinese patent application document with publication number CN116879144A discloses a control method for a climate test chamber and a climate test chamber. Specifically, the climate test chamber of the present invention includes a chamber, a front door, a side door, a first fan, a second fan and a radiation light source, the front door has a first cavity, a first air inlet and a first air outlet, the first fan is installed in the first cavity, the side door has a second cavity, a second air inlet and a second air outlet, the second fan is installed in the second cavity, and the control method includes: obtaining the target temperature Ts of the chamber; obtaining the external environment temperature Tw of the chamber; judging whether the radiation light source is turned on; and selectively starting the first fan or the second fan according to the target temperature Ts, the external environment temperature Tw and the judgment result. The heat generated by the radiation light source can be discharged through the air outlet on the door body.

[0004] The application document selectively starts the first fan or the second fan according to the target temperature Ts, the external ambient temperature Tw and the judgment result, which is more efficient and energy-saving. At present, the temperature response in the high-temperature aging test chamber often has a large hysteresis, that is, it takes a certain amount of time for the temperature change to be reflected in the control system. This hysteresis may cause the control system to overshoot or under-adjust when adjusting the temperature. Moreover, in the high-temperature aging test, the ambient temperature of the test chamber may need to rise or fall rapidly in a short period of time. This rapid change requires the control system to respond quickly and accurately control the temperature. At the same time, due to various uncertain factors that may exist during the test process, such as fluctuations in heating power, changes in the external environment, etc., the trajectory of temperature changes is difficult to accurately predict. Summary of the invention

[0005] In order to solve the problem of how to improve the control efficiency and accuracy of a high temperature aging test chamber in the face of hysteresis, rapid temperature change requirements and uncertain factors, the present invention provides solutions in the following aspects.

[0006] In the first aspect, the ambient temperature data of the test box and the power data of the heating accessories are collected, the deviation degree of the ambient temperature data of the current test box is calculated to reflect the difference of the current ambient temperature data, and the initial softening factor is set for the difference of the ambient temperature data using generalized predictive control; with the ambient temperature data of the current test box as the end, a window of preset length is established, and the degree of difference between adjacent ambient temperature data in the window is calculated to evaluate local stability; the rate of change of the power data of the test box is obtained by the ratio of the difference between the power data of the test box at the current moment and the power data at other moments to the power data of the current test box; the initial softening factor is corrected according to the rate of change and local stability to obtain a significant softening factor, and the significant softening factor is used as a weight to control the ambient temperature data, thereby adjusting the ambient temperature data of the test box at the next moment; wherein, the significant softening factor Satisfies the following relationship: ; In the formula, Indicates the test chamber The initial softening factor of the ambient temperature data is Indicates the test chamber The rate of change of the power data of the heating accessories of the test chamber corresponding to the ambient temperature data is Indicates the test chamber The local stationarity of the ambient temperature data, The round-up symbol.

[0007] The effect is that by collecting the ambient temperature data of the test chamber and the power data of the heating accessories, the system status can be monitored in real time, so that the control strategy can adapt to the current working environment. The degree of deviation of the ambient temperature data is calculated, so that the control algorithm can adjust to the difference between the actual and the expected, thereby improving the accuracy of the control; by evaluating the local stability and the rate of change of the power data, the system can identify and respond to external disturbances and internal changes, such as fluctuations in heating power and the influence of the external environment. This real-time feedback correction mechanism enhances the robustness of the system to uncertain factors; the initial softening factor is set using generalized predictive control (GPC), and the significant softening factor is adjusted in real time according to the changes in the system status, making the control output smoother, reducing overshoot and oscillation, and helping to optimize the control performance and improve the stability and response speed of the system.

[0008] Preferably, the degree of deviation includes: The deviation degree of the ambient temperature data of the test box is obtained according to the ratio of the difference between the actual value and the expected value of the ambient temperature data of the current test box and the actual value.

[0009] The effect is that by monitoring the degree of deviation, the control system can reduce control errors caused by overshoot and oscillation, improve system stability, and accurate temperature control can reduce excessive heating or cooling, thereby optimizing energy consumption and improving energy efficiency.

[0010] Preferably, the degree of deviation further includes: Perform local least squares fitting on the current test chamber ambient temperature data, use the model obtained by least squares fitting to calculate the fitting value of the current test chamber temperature data, and use the negative correlation exponential function of the absolute value of the difference between the actual value and the fitting value as the degree of deviation.

[0011] Preferably, the initial softening factor includes: The reciprocal of the square root of the square of the deviation of the ambient temperature data of the test chamber plus 1 is taken as the initial softening factor.

[0012] Preferably, the initial softening factor further includes: A first temperature deviation is obtained according to the ratio of the difference between the actual value and the expected value of the ambient temperature data of the current test chamber and the actual value; a local least squares fitting is performed on the ambient temperature data of the current test chamber, and a fitting value of the current test chamber temperature data is calculated using a model obtained by the least squares fitting, and a negatively correlated exponential function of the absolute value of the difference between the actual value and the fitting value is used as the second temperature deviation; The absolute value of the difference between the first temperature deviation and the second temperature deviation is taken as the absolute difference, and the square of the average value of the sum of the first temperature deviation and the second temperature deviation is taken as the average difference; the ratio between the absolute difference and the square root of the average value difference plus 1 is taken as the initial softening factor of the ambient temperature data of the current test chamber.

[0013] The effect is that the first temperature deviation reflects the difference between the actual temperature and the expected temperature, while the second temperature deviation reflects the difference between the actual temperature and the temperature predicted by the local least squares fitting model. The local least squares fitting model can help capture the trends and patterns of the temperature data, so that the second temperature deviation can provide additional information about the temperature change trend, thereby improving the accuracy of the prediction.

[0014] Preferably, the local stability includes: The absolute difference between two adjacent temperature data in the window is calculated, and the ratio between the sum of the absolute differences of all adjacent ambient temperature data in the window and the window length minus 1 is taken as the average difference. The average difference is exponentially decayed using an exponential function to obtain local stationarity.

[0015] The effect is that by calculating the absolute difference between adjacent ambient temperature data in the window, the fluctuation of temperature data within the local time range can be quantified. The calculation of the average difference provides an indicator to measure temperature stability. The larger the average difference, the greater the local fluctuation, and vice versa.

[0016] Preferably, the local stability further includes: Take any ambient temperature data as the marked temperature, calculate the average value of all temperature data in the window corresponding to the marked temperature data, and for each temperature data in the window, sum the squared difference between each temperature data and the average value as the sum of squared deviations. Calculate the ratio between the sum of squared deviations and the window length minus 1 to get the variance, and use an exponential function to exponentially decay the variance to get local stationarity.

[0017] The effect is that by calculating the square difference between each temperature data and the average value, the fluctuation of the temperature data in the window can be measured more accurately, and by calculating the variance, the distribution of the temperature data around its average value can be quantified.

[0018] In a second aspect, a test chamber environment temperature control system for high temperature aging test 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 test chamber environment temperature control method for high temperature aging test is implemented.

[0019] The present invention has the following effects: 1. By introducing an adaptive initial softening factor, the system can dynamically adjust the control weight according to the local stability and the rate of change of power data, so as to better cope with uncertain factors such as heating power fluctuations and external environmental changes. This adaptive mechanism enhances the system's robustness to various interferences and ensures the stability and reliability of temperature control in complex environments.

[0020] 2. By using local least squares fitting and exponential decay function to evaluate local stability, the system can more accurately capture the local characteristics and changing trends of temperature data, correct the initial softening factor, obtain a significant softening factor, and achieve more refined control through the system, optimize the control strategy, reduce overshoot and under-adjustment, thereby improving the overall control efficiency and accuracy.

[0021] 3. The present invention collects the ambient temperature data of the test box and the power data of the heating accessories in real time and calculates the degree of deviation. The system can quickly identify temperature changes and adjust the control strategy in time. The real-time feedback mechanism enables the control system to respond quickly to temperature changes, reduce hysteresis, and improve control accuracy and response speed. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, 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-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein: Figure 1 It is a method flow chart of steps S1 to S4 in a method for controlling the environmental temperature of a test chamber for a high-temperature aging test according to an embodiment of the present invention.

[0023] Figure 2 The present invention is a structural block diagram of a test chamber environment temperature control system for high temperature aging test according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] 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.

[0025] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0026] Reference Figure 1 A method for controlling the ambient temperature of a test chamber for a high temperature aging test includes steps S1 to S4, which are specifically as follows: S1: Collect the ambient temperature data of the test chamber and the power data of the heating accessories, calculate the deviation degree of the current ambient temperature data of the test chamber to reflect the difference of the current ambient temperature data, and use generalized predictive control to set the initial softening factor for the difference of the ambient temperature data.

[0027] It should be noted that a temperature sensor is installed at a suitable position inside the test chamber, and the data acquisition frequency is set to 1 Hz to collect ambient temperature data. The temperature sensor and the data acquisition system are connected, and the collected temperature data is transmitted to the data acquisition system.

[0028] That is, the degree of deviation reflects the accuracy of temperature control, that is, the degree of closeness between the actual temperature and the target temperature. A larger degree of deviation requires a stronger control action to adjust the temperature to the desired value, whereas a smaller degree of deviation requires a weaker control action.

[0029] The deviation degree of the ambient temperature data of the test box is obtained according to the ratio of the difference between the actual value and the expected value of the ambient temperature data of the current test box and the actual value.

[0030] Specifically, the degree of deviation satisfies the following relationship: ; In the formula, Indicates the test chamber The degree of deviation of the ambient temperature data is Indicates the test chamber The actual value of the ambient temperature data, Indicates the test chamber The expected value of the ambient temperature data.

[0031] That is to say, Indicates the test chamber The ambient temperature data is compared with the The difference between the ambient temperature data of the test chamber The greater the difference between the actual value of the ambient temperature data and the expected value, the The greater the deviation of the ambient temperature data, the greater the deviation of the ambient temperature data. The positive and negative values ​​of the deviation of the ambient temperature data indicate the direction. If the deviation degree of the ambient temperature data is positive, it means it is deviating upward. A negative deviation in the ambient temperature data of a test chamber indicates a downward deviation.

[0032] In addition, in another embodiment, the degree of deviation can be analyzed by least square fitting, and the specific steps are as follows: Perform local least squares fitting on the current test chamber ambient temperature data, use the model obtained by least squares fitting to calculate the fitting value of the current test chamber temperature data, and use the negative correlation exponential function of the absolute value of the difference between the actual value and the fitting value as the degree of deviation.

[0033] In the above two embodiments of the degree of deviation, the first embodiment is to perform analysis based on the expected value, and the second embodiment is to more accurately describe the local trend of the temperature data through local least squares fitting, thereby improving the control accuracy; it can adapt to the nonlinear and time-varying characteristics of the temperature data, so that the control system can better adapt to the changes in the system, and the specific selection can be made according to the actual situation.

[0034] It should be noted that an initial softening factor can be obtained according to the degree of deviation of the test chamber ambient temperature data, and then the possibility of this deviation being caused by external interference is analyzed, and the initial softening factor is corrected to a certain extent to avoid the influence of too large or too small softening factor on control efficiency. The specific steps for obtaining the initial softening factor are as follows: The reciprocal of the square root of the square of the deviation of the ambient temperature data of the test chamber plus 1 is taken as the initial softening factor.

[0035] Specifically, the initial softening factor satisfies the following relationship: ; In the formula, Indicates the test chamber The ambient temperature data corresponds to the initial softening factor, Indicates the test chamber The degree of deviation of the ambient temperature data.

[0036] That is to say, When the deviation of the ambient temperature data of a test chamber is large, a smaller softening factor is required to control the response speed of the system and improve the regulation ability of the system.

[0037] In this embodiment, the softening factor is also called a smoothing factor, which is suitable for use in generalized predictive control. Its function is to balance the control performance and system response, reduce the overshoot and oscillation of the system by adjusting the smoothness of the control signal, and improve the stability and robustness of the control. When the degree of deviation is large, the softening factor is small, and the control system will respond to the deviation faster to reduce the deviation of the system; on the contrary, when the degree of deviation is small, the softening factor is large, and the response of the control system will be smoother to avoid over-control.

[0038] In addition, in another embodiment, the initial softening factor can also be obtained based on the results of the above two deviation degrees, and the specific steps are as follows: A first temperature deviation is obtained according to the ratio of the difference between the actual value and the expected value of the ambient temperature data of the current test chamber and the actual value; a local least squares fitting is performed on the ambient temperature data of the current test chamber, and a fitting value of the current test chamber temperature data is calculated using a model obtained by the least squares fitting, and a negatively correlated exponential function of the absolute value of the difference between the actual value and the fitting value is used as the second temperature deviation; The absolute value of the difference between the first temperature deviation and the second temperature deviation is taken as the absolute difference, and the square of the average value of the sum of the first temperature deviation and the second temperature deviation is taken as the average difference; the ratio between the absolute difference and the square root of the average value difference plus 1 is taken as the initial softening factor of the ambient temperature data of the current test chamber.

[0039] Specifically, the initial softening factor satisfies the following relationship: ; In the formula, Indicates The ambient temperature data of each test chamber corresponds to the initial softening factor. Indicates the test chamber The first temperature deviation of the ambient temperature data, Indicates the test chamber The second temperature deviation of the ambient temperature data.

[0040] That is to say, For the test chamber The average of the first temperature deviation and the second temperature deviation of the ambient temperature data. The larger the value, the greater the deviation of the temperature data. A smaller softening factor is needed to control the response speed of the system and improve the regulation ability of the system. For the The difference between the first temperature deviation and the second temperature deviation of the ambient temperature data characterizes the The greater the difference between the two, the higher the possibility that the ambient temperature data is deviated.

[0041] Further explanation: when obtaining the degree of correction of the initial softening factor of the current test chamber ambient temperature data, the possibility of the current test chamber ambient temperature data being interfered with by the outside world is mainly evaluated. Because the greater the possibility of the current test chamber ambient temperature data being interfered with by the outside world, the greater the possibility that the deviation degree of the current test chamber ambient temperature data is caused by such external interference, and the less accurate the initial softening factor obtained according to the deviation degree of the current test chamber ambient temperature data, the greater the degree of correction.

[0042] When evaluating the possibility of the current test chamber ambient temperature data being affected by external interference, it is mainly described by the local stability of the current test chamber ambient temperature data and the corresponding power changes, because the local stability of the current test chamber ambient temperature data can reflect the operating status of the system near the current moment. If the temperature data fluctuates violently in a short period of time, it may mean that the system is affected by external interference or internal faults.

[0043] Therefore, by comprehensively analyzing the correction degree of the initial softening factor through the local stability of the current test chamber ambient temperature data and the corresponding power changes, the accuracy of the correction degree can be improved, thereby improving the accuracy of the final softening factor. The specific steps are as follows: S2: Taking the ambient temperature data of the current test chamber as the end, a window of preset length is established, and the degree of difference between adjacent ambient temperature data in the window is calculated to evaluate local stability.

[0044] Local stationarity, including: The absolute difference between two adjacent temperature data in the window is calculated, and the ratio between the sum of the absolute differences of all adjacent ambient temperature data in the window and the window length minus 1 is taken as the average difference. The average difference is exponentially decayed using an exponential function to obtain local stationarity.

[0045] Specifically, the local stability satisfies the following relationship: ; In the formula, Indicates the test chamber The local stationarity of the ambient temperature data, Indicates the test chamber The ambient temperature data corresponds to the The value of the temperature data, Indicates the test chamber The ambient temperature data corresponds to the The value of the temperature data, represents the window length, Represented by natural numbers An exponential function with base .

[0046] That is to say, Indicates the test chamber The average difference between two adjacent temperature data in the window corresponding to the ambient temperature data is the larger the value, the The local stationarity of the ambient temperature data is lower.

[0047] In addition, another embodiment further includes: Take any ambient temperature data as the marked temperature, calculate the average value of all temperature data in the window corresponding to the marked temperature data, and for each temperature data in the window, sum the squared difference between each temperature data and the average value as the sum of squared deviations. Calculate the ratio between the sum of squared deviations and the window length minus 1 to get the variance, and use an exponential function to exponentially decay the variance to get local stationarity.

[0048] Specifically, the local stability satisfies the following relationship: ; In the formula, Indicates the test chamber The local stationarity of the ambient temperature data, Indicates the test chamber The ambient temperature data corresponds to the The value of the temperature data, Indicates the test chamber The average value of all temperature data in the window corresponding to each ambient temperature data. represents the window length, Represented by natural numbers An exponential function with base .

[0049] That is to say, The average value represents the degree of deviation of the temperature data from the average value. A larger variance indicates a larger fluctuation of the temperature data, and a smaller variance indicates a smaller fluctuation of the temperature data. The fluctuation of the temperature data within the local time range is considered, and the stability is quantified by the exponential decay function. Local stability can be used as an important parameter of the control system to adjust the control strategy to adapt to the local changes of the temperature data.

[0050] In addition, there is an embodiment comprising: Take any ambient temperature data as the marked temperature, obtain the maximum and minimum values ​​of the temperature data in the window corresponding to the marked temperature of the test chamber, calculate the difference between the maximum and minimum values, calculate the average value of all temperature data in the window corresponding to the marked temperature data, and take the ratio between the difference and the average value as local stationarity.

[0051] Specifically, the local stability satisfies the following relationship: ; In the formula, Indicates the test chamber The local stationarity of the ambient temperature data, Indicates the test chamber The maximum value of the temperature data in the window corresponding to the ambient temperature data. Indicates the test chamber The minimum value of the temperature data in the window corresponding to the ambient temperature data. Indicates the test chamber The ambient temperature data corresponds to the average value of all temperature data in the window.

[0052] That is to say, the difference between the maximum and minimum values ​​of the temperature data in the window reflects the fluctuation range of the temperature data, and the average value represents the central trend of the temperature data within the window. By dividing the difference by the average value, a relative fluctuation range can be obtained, which helps to compare stability at different temperature levels.

[0053] S3: Obtain the rate of change of the power data of the test box by taking the ratio of the difference between the power data of the test box at the current moment and the power data at other moments and the power data of the current test box.

[0054] Specifically, the rate of change satisfies the following relationship: ; In the formula, Indicates The rate of change of the test chamber ambient temperature data corresponding to the test chamber heating accessory power data, Indicates The ambient temperature data of each test chamber corresponds to the power data of the heating accessories of the test chamber. Indicates The ambient temperature data of each test chamber corresponds to the power data of the heating accessories of the test chamber.

[0055] That is to say, For the The ambient temperature data of the first test chamber corresponds to the power data of the heating accessories of the test chamber. The degree of change of the power data of the heating accessories of the test chamber corresponding to the ambient temperature data of the test chamber, that is, The rate of change of the test chamber ambient temperature data corresponding to the test chamber heating accessory power data.

[0056] It should be noted that a larger rate of change means that the power data has changed significantly in a short period of time, which may indicate that the system is affected by external energy input, such as fluctuations in heating power. When the rate of change is large, more frequent or stronger control actions may be required to maintain temperature stability.

[0057] S4: The initial softening factor is modified according to the change rate and local stability to obtain a significant softening factor, and the significant softening factor is used as the weight of controlling the ambient temperature data, thereby adjusting the ambient temperature data of the test box at the next moment.

[0058] Among them, the significant softening factor Satisfies the following relationship: ; In the formula, Indicates the test chamber A significant softening factor for ambient temperature data, Indicates the test chamber The initial softening factor of the ambient temperature data is Indicates the test chamber The rate of change of the power data of the heating accessories of the test chamber corresponding to the ambient temperature data is Indicates the test chamber The local stationarity of the ambient temperature data, The round-up symbol.

[0059] That is to say, For the The correction degree of the initial softening factor corresponding to the ambient temperature data of the test chamber, The greater the change rate of the test chamber ambient temperature data corresponding to the test chamber heating accessory power data, and the The lower the local stability of the ambient temperature data of the test chamber, the greater the possibility that the ambient temperature data of the current test chamber is affected by the outside world. The deviation of the ambient temperature data of the first test chamber is likely to be caused by external interference. The initial softening factor obtained based on the degree of deviation of the ambient temperature data of each test chamber is inaccurate, and needs to be further corrected based on the possibility of external interference to ensure the accuracy of the initial softening factor. At the same time, further correction also avoids excessive softening caused by too small a softening factor, which affects the accurate response of the control.

[0060] Control the test chamber ambient temperature data at the next moment according to the significant softening factor, including: A control module is set in the test chamber environmental temperature control system of the high-temperature aging test, the ambient temperature data is input into the control module, a temperature prediction model is constructed, the softening factor corresponding to the current test chamber ambient temperature data is applied to the weight of the control input, and a control strategy for the test chamber ambient temperature at the next moment is formulated. The formulated control strategy is converted into specific control instructions and sent to the control system of the test chamber.

[0061] The present invention also provides a test chamber environment temperature control system for high temperature aging test. Figure 2 As shown, the system includes a processor and a memory, the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a test chamber environment temperature control method for high temperature aging test according to the first aspect of the present invention is implemented.

[0062] The system also includes other components familiar to those skilled in the art, such as a communication bus and a communication interface. The configuration and functions of these components are known in the art and will not be described in detail here.

[0063] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory 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 a device or accessible or connectable to a device. Any application or module described in the present invention may be implemented by computer-readable / executable instructions stored or otherwise maintained by such a computer-readable medium.

[0064] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly and specifically defined.

[0065] 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.

Claims

1. A method for controlling the ambient temperature of a test chamber for a high temperature aging test, characterized in that: include: Collect the ambient temperature data of the test chamber and the power data of the heating accessories, calculate the deviation degree of the current ambient temperature data of the test chamber to reflect the difference of the current ambient temperature data, and use generalized predictive control to set the initial softening factor for the difference of the ambient temperature data; Taking the ambient temperature data of the current test chamber as the end, a window of preset length is established, and the difference between adjacent ambient temperature data in the window is calculated to evaluate local stability; The change rate of the power data of the test box is obtained by taking the ratio of the difference between the power data of the test box at the current moment and the power data at other moments and the power data of the current test box; The initial softening factor is modified according to the change rate and local stability to obtain a significant softening factor, and the significant softening factor is used as a control weight to adjust the ambient temperature data of the test box at the next moment; Among them, the significant softening factor Satisfies the following relationship: ; In the formula, Indicates the test chamber The initial softening factor of the ambient temperature data is Indicates the test chamber The rate of change of the power data of the heating accessories of the test chamber corresponding to the ambient temperature data is Indicates the test chamber The local stationarity of the ambient temperature data, The round-up symbol.

2. A test chamber environment temperature control method for high temperature aging test according to claim 1, characterized in that: The degree of deviation includes: The deviation degree of the ambient temperature data of the test box is obtained according to the ratio of the difference between the actual value and the expected value of the ambient temperature data of the current test box and the actual value.

3. A test chamber environment temperature control method for high temperature aging test according to claim 1, characterized in that: The degree of deviation also includes: Perform local least squares fitting on the current test chamber ambient temperature data, use the model obtained by least squares fitting to calculate the fitting value of the current test chamber temperature data, and use the negative correlation exponential function of the absolute value of the difference between the actual value and the fitting value as the degree of deviation.

4. A test chamber environment temperature control method for high temperature aging test according to claim 1, characterized in that: The initial softening factor includes: The reciprocal of the square root of the square of the deviation of the ambient temperature data of the test chamber plus 1 is taken as the initial softening factor.

5. The method for controlling the ambient temperature of a test chamber for a high temperature aging test according to claim 1, characterized in that: The initial softening factor also includes: The first temperature deviation is obtained according to the ratio of the difference between the actual value and the expected value of the ambient temperature data of the current test box and the actual value; a local least squares fitting is performed on the ambient temperature data of the current test box, and the fitting value of the current test box temperature data is calculated using the model obtained by the least squares fitting, and the negative correlation exponential function of the absolute value of the difference between the actual value and the fitting value is used as the second temperature deviation; the absolute value of the difference between the first temperature deviation and the second temperature deviation is used as the absolute difference, and the square of the average value of the sum of the first temperature deviation and the second temperature deviation is used as the average difference; the ratio between the absolute difference and the square root of the average value plus 1 is used as the initial softening factor of the ambient temperature data of the current test box.

6. A test chamber environment temperature control method for high temperature aging test according to claim 1, characterized in that: The local stability includes: The absolute difference between two adjacent temperature data in the window is calculated, and the ratio between the sum of the absolute differences of all adjacent ambient temperature data in the window and the window length minus 1 is taken as the average difference. The average difference is exponentially decayed using an exponential function to obtain local stationarity.

7. A test chamber environment temperature control method for high temperature aging test according to claim 1, characterized in that: The local stability also includes: Take any ambient temperature data as the marked temperature, calculate the average value of all temperature data in the window corresponding to the marked temperature data, and for each temperature data in the window, sum the squared difference between each temperature data and the average value as the sum of squared deviations. Calculate the ratio between the sum of squared deviations and the window length minus 1 to get the variance, and use an exponential function to exponentially decay the variance to get local stationarity.

8. A test chamber environment temperature control system for high temperature aging test, 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, a test chamber environment temperature control method for high temperature aging test according to any one of claims 1 to 7 is implemented.

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