High and low temperature environment simulation and maintenance system

Abstract

The invention belongs to the field of temperature simulation, and provides a high and low temperature environment simulation and maintenance system which comprises a temperature control module used for setting and adjusting the temperature of a simulation environment, a heating unit arranged in the temperature control module and used for calculating and outputting heating power according to a preset algorithm formula, and a refrigeration unit, the temperature control module is arranged in parallel with the heating unit in the temperature control module, the refrigeration power is calculated and output according to another preset algorithm formula, and the environment simulation chamber is connected to the temperature control module; by integrating the temperature control module, the heating unit, the refrigeration unit, the environment simulation chamber, the temperature sensor and the control unit, accurate control and stable maintenance of the simulated environment temperature are achieved, and the core problems that an existing system is large in temperature fluctuation, uneven in temperature distribution and the like are effectively solved; and the accuracy and reliability of high and low temperature environment simulation and maintenance are obviously improved.

Description

Technical Field

[0001] The invention belongs to the field of temperature simulation, in particular to a high and low temperature environment simulation and maintenance system. Background Art

[0002] In many fields of science and technology and industrial production, the importance of high and low temperature environment simulation and maintenance technology is self-evident. Whether it is material science research, which requires simulating the changes in material properties under extreme temperature conditions; or electronic product reliability testing, which requires verifying the stable operation ability of products in a wide temperature range; or industries such as aerospace and automobile manufacturing, which require ensuring the normal operation of equipment under harsh climatic conditions. Therefore, high and low temperature environment simulation and maintenance systems play a vital role in these fields.

[0003] However, there are still many challenges in this field with existing technologies. Among them, the core issue is how to accurately and efficiently simulate and maintain a specific high and low temperature environment while ensuring the stability and reliability of the system. Traditional high and low temperature environment simulation systems often have problems such as low temperature control accuracy, slow system response speed, and high energy consumption, which are difficult to meet the growing testing needs. Especially under complex and changeable test conditions, how to accurately adjust the power output of the heating and cooling units to achieve rapid and stable temperature control has become a technical problem that needs to be solved urgently.

[0004] To this end, those skilled in the art have proposed a high and low temperature environment simulation and maintenance system to solve the problems raised by the background technology. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a high and low temperature environment simulation and maintenance system to solve the problems existing in the prior art.

[0006] A high and low temperature environment simulation and maintenance system includes a temperature control module for setting and adjusting the temperature of the simulated environment;

[0007] A heating unit is provided in the temperature control module and calculates and outputs heating power according to a preset algorithm formula;

[0008] A refrigeration unit is arranged in parallel with the heating unit in the temperature control module, and calculates and outputs refrigeration power according to another preset algorithm formula;

[0009] An environmental simulation chamber, connected to the temperature control module, for accommodating the sample to be tested and maintaining the set temperature;

[0010] A temperature sensor is disposed in the environmental simulation chamber and is used to monitor the temperature in the chamber in real time and feed back to the temperature control module;

[0011] The control unit receives the feedback signal of the temperature sensor and adjusts the power output of the heating unit and the refrigeration unit according to the feedback signal.

[0012] Preferably, the algorithm formula preset in the heating unit is T_set=T_amb+ΔT, wherein T_set is the set temperature, T_amb is the ambient temperature, and ΔT is the temperature deviation;

[0013] The algorithm formula preset in the refrigeration unit is T_cool=T_amb-ΔT_cool, T_cool is the refrigeration target temperature, and ΔT_cool is the refrigeration temperature deviation.

[0014] Preferably, the temperature control module further includes a power distribution unit for dynamically distributing the power output ratio of the heating unit and the cooling unit according to the instruction of the control unit. The specific distribution formula is P heat (t) = a·P total (t), P cool (t) = β·P total (t), where P heat (t) is the heating unit power, P cool (t) is the power of the refrigeration unit, P total (t) is the total system power, and α+β=1, ensuring that the total power remains unchanged.

[0015] Preferably, the system further comprises a thermal insulation layer wrapped around the outer wall of the environmental simulation chamber, and the thermal insulation effect thereof is evaluated by the thermal conductivity coefficient k. The thermal insulation layer design needs to satisfy the thermal conduction equation. Where Q is the heat passing through the insulation layer, t is the time, A is the heat transfer area, ΔT is the temperature difference between the inside and outside of the insulation layer, and k is the heat conduction coefficient.

[0016] Preferably, the heating unit and the cooling unit both adjust the power output through a PID control algorithm to achieve precise temperature control. The specific implementation of the PID algorithm includes:

[0017] Proportional link, P prop (t) = K p ·e(t);

[0018] Points section,

[0019] Differentiation link,

[0020] The total control output is the sum of the three, u(t) = P prop (t)+P int (t)+P diff (t), where K P , K i , Kd They are proportional, integral and differential coefficients respectively, and are adjusted by the control unit according to the system response characteristics.

[0021] Preferably, the system further comprises a data recording module, which is used by the server to perform data storage and analysis, and is used to record and analyze the temperature data fed back by the temperature sensor and the power output history of the heating unit and the refrigeration unit, and predict the future temperature change trend through a time series analysis algorithm, specifically using an autoregressive sliding average model.

[0022] X t =φ 1 X t-1 +φ 2 X t-2 +...+φ p X t-p +ε t +θ 1 ε t-1 +θ 2 ε t-2 +...+θ q ε t-q ,

[0023] Where X t is the temperature value at the current moment, φ i and θ i are the autoregressive coefficient and the moving average coefficient, p and q are the autoregressive order and the moving average order, ε t is the white noise error term.

[0024] Preferably, the environmental simulation chamber is provided with uniformly distributed temperature monitoring points, each monitoring point is equipped with the temperature sensor, and the control unit calculates the average temperature in the chamber by a weighted average algorithm based on the data of the temperature sensor. Where N is the number of temperature monitoring points, T i is the temperature of the ith monitoring point.

[0025] Preferably, the system further comprises an alarm module, which is executed by the controller to perform logic judgment, and triggers an alarm signal when the temperature detected by the temperature sensor exceeds a preset safety range. The alarm logic is:

[0026] if|TT set |>T threshold , then trigger alarm;

[0027] Where T is the current temperature, T set is the set temperature, T threshold is the temperature threshold.

[0028] Preferably, the alarm module includes an audible and visual alarm and a remote communication interface, the remote communication interface sends the alarm signal to the remote monitoring center through the TCP / IP protocol, and the remote communication interface uses a heartbeat packet mechanism to ensure the effectiveness of the communication connection. The heartbeat packet sending interval T heartbeat and timeout T timeout Need to satisfy,

[0029] T timeout >T heartbeat +ΔT,

[0030] Among them, ΔT is the margin of network delay and processing time, ensuring that the heartbeat packet can arrive on time and be received by the remote monitoring center under normal circumstances. When the heartbeat packet does not arrive on time, the remote monitoring center considers the communication connection abnormal and triggers an alarm.

[0031] Preferably, the system further comprises a fault diagnosis module, which is executed by the server to perform a fault diagnosis algorithm, and identifies and locates system faults by analyzing the working status data of the heating unit, the refrigeration unit and the temperature sensor. The fault diagnosis algorithm adopts a support vector machine (SVM) classifier, and the specific formula is:

[0032]

[0033] Where f(x) is the classification function, s ign is the symbol function, x is the input working status data feature vector, N SV is the number of support vectors, x i is the coefficient of the support vector, y i is the category label of the support vector, K(x,x i ) is the kernel function and b is the bias term.

[0034] Through the above technical solution,

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] The present invention realizes precise control and stable maintenance of simulated environmental temperature by integrating a temperature control module, a heating unit, a refrigeration unit, an environmental simulation chamber, a temperature sensor and a control unit, effectively solving core problems of existing systems such as large temperature fluctuations and uneven temperature distribution, and significantly improving the accuracy and reliability of high and low temperature environment simulation and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a module block diagram of the temperature control module of the present invention;

[0038] Figure 2 It is a system flow chart of the present invention; DETAILED DESCRIPTION

[0039] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0040] Embodiment 1: As shown in the attached Figure 1 As shown: The present invention provides a high and low temperature environment simulation and maintenance system, including a temperature control module, which is used to set and adjust the temperature of the simulated environment. The module is responsible for setting and accurately adjusting the temperature of the simulated environment. Its advantage is that it can quickly and accurately reach and maintain the required high or low temperature environment according to different test requirements. By integrating advanced control algorithms, the accuracy and stability of temperature control are significantly improved, thereby ensuring the reliability of test results;

[0041] A heating unit is provided in the temperature control module and calculates and outputs heating power according to a preset algorithm formula;

[0042] A refrigeration unit is arranged in parallel with the heating unit in the temperature control module, and calculates and outputs refrigeration power according to another preset algorithm formula;

[0043] The environmental simulation chamber is connected to the temperature control module and is used to accommodate the sample to be tested and maintain the set temperature. The chamber is connected to the temperature control module and is used to accommodate the sample to be tested and maintain the set temperature. It provides a stable test environment and ensures that the sample is tested under simulated high or low temperature conditions, so as to obtain accurate test data. As the direct place for sample testing, the environmental simulation chamber plays a vital role in the accuracy of the test results;

[0044] The temperature sensor is installed in the environmental simulation chamber to monitor the temperature in the chamber in real time and provide feedback to the temperature control module. It can capture temperature changes in real time and provide accurate feedback information to the temperature control module, thereby achieving precise control of temperature. Compared with the existing technology, this system significantly improves the accuracy and real-time performance of temperature monitoring by integrating high-precision temperature sensors;

[0045] The control unit receives the feedback signal from the temperature sensor and adjusts the power output of the heating unit and the cooling unit according to the feedback signal. The advantage of the control unit is that it can intelligently process the feedback data from the temperature sensor, adjust the power output according to actual needs, and achieve precise temperature control. In the overall solution, the control unit serves as the "brain" of the system, responsible for coordinating the work of each module to ensure the efficient operation of the entire system.

[0046] Preferably, the algorithm formula preset in the heating unit is T_set=T_amb+ΔT, wherein T_set is the set temperature, T_amb is the ambient temperature, and ΔT is the temperature deviation; the algorithm formula preset in the refrigeration unit is T_cool=T_amb-ΔT_cool, T_cool is the refrigeration target temperature, and ΔT_cool is the refrigeration temperature deviation. By introducing specific algorithm formulas, the heating and refrigeration units can adjust power according to the real-time temperature difference, thereby improving the accuracy of temperature control. Compared with traditional systems that rely on experience or simple feedback adjustment, this method can respond to temperature fluctuations more quickly and reduce the time it takes for the system to reach a stable state. Accurate power control helps to reduce unnecessary energy waste and improve system energy efficiency.

[0047] From the above, it can be seen that the system integrates a temperature control module, a heating unit, a refrigeration unit, an environmental simulation chamber, a temperature sensor and a control unit, and realizes the precise setting and adjustment of the simulated ambient temperature. At the same time, through the preset algorithm formulas in the heating unit and the refrigeration unit, the heating and cooling power are determined respectively by calculating the temperature deviation. The application of this algorithm significantly improves the accuracy and response speed of temperature control, and provides a more stable and reliable operating environment for the system.

[0048] Embodiment 2: As shown in the attached Figure 1 To Attachment Figure 2 As shown: This embodiment is basically the same as the previous embodiment, except that the temperature control module further includes a power distribution unit for dynamically distributing the power output ratio of the heating unit and the cooling unit according to the instruction of the control unit. The specific distribution formula is P heat (t) = a·P total (t), P cool (t) = β·P total (t), where P heat (t) is the heating unit power, P cool (t) is the power of the refrigeration unit, P total (t) is the total system power, and α+β=1, ensuring that the total power remains unchanged. The power distribution unit can flexibly adjust the ratio of heating and cooling power according to different temperature requirements to achieve fine adjustment of temperature control. By optimizing power distribution, the operating time of the system in a high energy consumption state can be reduced and the overall energy efficiency can be improved. Dynamic adjustment of the power ratio helps to maintain the balance of the internal temperature of the system and reduce the impact of temperature fluctuations on system stability.

[0049] Preferably, the system further comprises a thermal insulation layer wrapped around the outer wall of the environmental simulation chamber, and the thermal insulation effect thereof is evaluated by the thermal conductivity coefficient k. The thermal insulation layer design needs to satisfy the thermal conduction equation. Where Q is the heat passing through the insulation layer, t is the time, A is the heat transfer area, ΔT is the temperature difference between the inside and outside of the insulation layer, and k is the thermal conductivity coefficient. The insulation layer can effectively reduce the heat exchange between the environmental simulation chamber and the outside world, reduce temperature fluctuations, and reduce heat loss, which means that the system requires less energy to maintain the set temperature, thereby improving energy efficiency. A stable temperature environment helps protect the samples to be tested from temperature fluctuations and improves test accuracy.

[0050] Furthermore, the heating unit and the cooling unit both adjust the power output through the PID control algorithm to achieve precise temperature control. The specific implementation of the PID algorithm includes:

[0051] Proportional link, P prop (t) = K p ·e(t);

[0052] Points section,

[0053] Differentiation link,

[0054] The total control output is the sum of the three, u(t) = P prop (t)+P int (t)+P diff (t), where K P , K i , K d They are proportional, integral and differential coefficients respectively, and are adjusted by the control unit according to the system response characteristics. The PID control algorithm can comprehensively consider the temperature deviation, the deviation change rate and the deviation accumulation to achieve more precise temperature control. At the same time, it can quickly adjust the power output to cope with temperature fluctuations, improve the system response speed, and maintain a stable control effect under complex and changeable test conditions.

[0055] Specifically, the system further includes a data recording module, which is used by the server to perform data storage and analysis, and is used to record and analyze the temperature data fed back by the temperature sensor and the power output history of the heating unit and the refrigeration unit, and predict the future temperature change trend through a time series analysis algorithm, specifically using an autoregressive sliding average model.

[0056] X t =φ 1 X t-1 +φ 2 X t-2 +...+φ p X t-p +ε t +θ 1 ε t-1 +θ 2 ε t-2 +...+θq ε t-q ,

[0057] Where X t is the temperature value at the current moment, φ i and θ i are the autoregressive coefficient and the moving average coefficient, p and q are the autoregressive order and the moving average order, ε t For white noise error terms, this module provides comprehensive data recording and analysis functions, which is helpful for system optimization and improvement, improves the maintainability and manageability of the system, and provides a guarantee for the long-term stable operation of the system.

[0058] As can be seen from the above, the present invention realizes the dynamic distribution of power of heating and cooling units through the power distribution unit, thereby improving energy efficiency. At the same time, the thermal insulation layer design is adopted to optimize the thermal insulation effect through the heat conduction equation; the PID control algorithm is used to accurately adjust the power output, thereby improving the accuracy and stability of temperature control; the data recording module is set to record and analyze the temperature and power data, and the time series analysis algorithm is used to predict the future temperature change trend, thereby enhancing the predictability and maintainability of the system. These features jointly promote the improvement of the overall performance of the system.

[0059] Embodiment 3: As shown in the attached Figure 1 To Attachment Figure 2 As shown in the figure: Based on the first embodiment, the environmental simulation chamber is provided with uniformly distributed temperature monitoring points, each monitoring point is equipped with the temperature sensor, and the control unit calculates the average temperature in the chamber by a weighted average algorithm according to the data of the temperature sensor. Where N is the number of temperature monitoring points, T i is the temperature of the i-th monitoring point. Through the data obtained from multiple temperature monitoring points, the control unit can understand the temperature conditions in the chamber more accurately, avoid the errors that may be caused by a single monitoring point, and improve the accuracy of temperature control. The comprehensiveness and accuracy of temperature data help the control unit make more reasonable power adjustment decisions, thereby achieving more stable temperature simulation and maintenance.

[0060] Preferably, the system further comprises an alarm module, which is executed by the controller to perform logic judgment, and triggers an alarm signal when the temperature detected by the temperature sensor exceeds a preset safety range. The alarm logic is:

[0061] if|TT set |>T threshold , then trigger alarm;

[0062] Where T is the current temperature, T set is the set temperature, T thresholdThe temperature threshold can detect and respond to abnormal temperature in time to avoid damage to the test sample or the system itself caused by excessively high or low temperature, enhance the safety and reliability of the system, and ensure the smooth progress of the test process and the accuracy of the test results.

[0063] Furthermore, the alarm module also includes an audible and visual alarm and a remote communication interface. The remote communication interface sends the alarm signal to the remote monitoring center through the TCP / IP protocol. The remote communication interface uses a heartbeat packet mechanism to ensure the effectiveness of the communication connection. The heartbeat packet sending interval T heartbeat and timeout T timeout Need to satisfy,

[0064] T timeout >T heartbeat +ΔT,

[0065] Among them, ΔT is the margin of network delay and processing time, ensuring that the heartbeat packet can arrive on time and be received by the remote monitoring center under normal circumstances. When the heartbeat packet does not arrive on time, the remote monitoring center considers that the communication connection is abnormal and triggers an alarm, which can not only send an alarm signal on site, but also transmit the alarm information remotely to the monitoring center, realizing remote monitoring and timely response, improving the system's response speed and emergency handling capabilities, and reducing the potential risks caused by abnormal temperature.

[0066] Specifically, the system further includes a fault diagnosis module, which is executed by the server to perform a fault diagnosis algorithm, and identifies and locates system faults by analyzing the working status data of the heating unit, the cooling unit, and the temperature sensor. The fault diagnosis algorithm uses a support vector machine (SVM) classifier, and the specific formula is:

[0067]

[0068] Where f(x) is the classification function, s ign is the symbol function, x is the input working status data feature vector, N SV is the number of support vectors, x i is the coefficient of the support vector, y i is the category label of the support vector, K(x,x i ) is the kernel function, b is the bias term, which can automatically detect the operating status of the system, discover and locate faults in time, reduce maintenance costs and time, improve the stability and maintainability of the system, and ensure the continuity and accuracy of the test process.

[0069] As can be seen from the above, the present invention ensures accurate monitoring and uniform control of the temperature in the chamber through evenly distributed temperature monitoring points and weighted average algorithm; the alarm module improves the safety of the system and can trigger an alarm in time when the temperature is abnormal; through the remote communication interface and heartbeat packet mechanism, the stable communication between the remote monitoring center and the system is ensured, further improving the remote monitoring capability of the system; the fault diagnosis module adopts a support vector machine classifier, which can accurately identify and locate system faults, and improve the maintainability and stability of the system. These features jointly improve the overall performance of the system and ensure the accuracy and reliability of high and low temperature environment simulation and maintenance.

[0070] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

[0071] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0072] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processor or other system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

[0073] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0074] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0075] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0076] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A high and low temperature environment simulation and maintenance system, characterized in that: include: A temperature control module, used to set and adjust the temperature of the simulated environment; A heating unit is provided in the temperature control module and calculates and outputs heating power according to a preset algorithm formula; A refrigeration unit is arranged in parallel with the heating unit in the temperature control module, and calculates and outputs refrigeration power according to another preset algorithm formula; An environmental simulation chamber, connected to the temperature control module, for accommodating the sample to be tested and maintaining the set temperature; A temperature sensor is disposed in the environmental simulation chamber and is used to monitor the temperature in the chamber in real time and feed back to the temperature control module; The control unit receives the feedback signal of the temperature sensor and adjusts the power output of the heating unit and the refrigeration unit according to the feedback signal.

2. A high and low temperature environment simulation and maintenance system as claimed in claim 1, characterized in that: The algorithm formula preset in the heating unit is T_set=T_amb+ΔT, where T_set is the set temperature, T_amb is the ambient temperature, and ΔT is the temperature deviation; The algorithm formula preset in the refrigeration unit is T_cool=T_amb-ΔT_cool, T_cool is the refrigeration target temperature, and ΔT_cool is the refrigeration temperature deviation.

3. A high and low temperature environment simulation and maintenance system as claimed in claim 2, characterized in that: The temperature control module also includes a power distribution unit, which is used to dynamically distribute the power output ratio of the heating unit and the cooling unit according to the instruction of the control unit. The specific distribution formula is P heat (t) = a·P total (t), P cool (t) = β·P total (t), where P heat (t) is the heating unit power, P cool (t) is the power of the refrigeration unit, P total (t) is the total system power, and α+β=1, ensuring that the total power remains unchanged.

4. A high and low temperature environment simulation and maintenance system as claimed in claim 3, characterized in that: The system also includes a thermal insulation layer wrapped around the outer wall of the environmental simulation chamber. The thermal insulation effect is evaluated by the thermal conductivity coefficient k. The thermal insulation layer design needs to satisfy the thermal conduction equation. Where Q is the heat passing through the insulation layer, t is the time, A is the heat transfer area, ΔT is the temperature difference between the inside and outside of the insulation layer, and k is the heat conduction coefficient.

5. A high and low temperature environment simulation and maintenance system as claimed in claim 4, characterized in that: The heating unit and the cooling unit both adjust the power output through the PID control algorithm to achieve precise temperature control. The specific implementation of the PID algorithm includes: Proportional link, P prop (t) = K p ·e(t); Points section, Differentiation link, The total control output is the sum of the three, u(t) = P prop (t)+P int (t)+P diff (t), where K P , K i , K d They are proportional, integral and differential coefficients respectively, and are adjusted by the control unit according to the system response characteristics.

6. A high and low temperature environment simulation and maintenance system as claimed in claim 1, characterized in that: The system also includes a data recording module, which is used by the server to perform data storage and analysis, and is used to record and analyze the temperature data fed back by the temperature sensor and the power output history of the heating unit and the refrigeration unit, and predict the future temperature change trend through a time series analysis algorithm, specifically using an autoregressive sliding average model. X t =φ1X t-1 +φ2X t-2 +...+φ p X t-p +e t +θ1ε t-1 +θ2ε t-2 +...+θ q e t-q , Where X t is the temperature value at the current moment, φ i and θ i are the autoregressive coefficient and the moving average coefficient, p and q are the autoregressive order and the moving average order, ε t is the white noise error term.

7. A high and low temperature environment simulation and maintenance system as claimed in claim 1, characterized in that: The environment simulation chamber is provided with uniformly distributed temperature monitoring points, each of which is equipped with the temperature sensor. The control unit calculates the average temperature in the chamber by a weighted average algorithm based on the data of the temperature sensor. Where N is the number of temperature monitoring points, T i is the temperature of the ith monitoring point.

8. A high and low temperature environment simulation and maintenance system as claimed in claim 1, characterized in that: The system also includes an alarm module, which is executed by the controller to perform logical judgment. When the temperature detected by the temperature sensor exceeds the preset safety range, an alarm signal is triggered. The alarm logic is: if|T-T set |>T threshold ,then trigger alarm; Where T is the current temperature, T set is the set temperature, T threshold is the temperature threshold.

9. A high and low temperature environment simulation and maintenance system as claimed in claim 8, characterized in that: The alarm module also includes an audible and visual alarm and a remote communication interface. The remote communication interface sends the alarm signal to the remote monitoring center through the TCP / IP protocol. The remote communication interface uses a heartbeat packet mechanism to ensure the effectiveness of the communication connection. The heartbeat packet is sent at an interval of T. heartbeat and timeout T timeout Need to satisfy, T timeout >T heartbeat +ΔT, Among them, ΔT is the margin of network delay and processing time, ensuring that the heartbeat packet can arrive on time and be received by the remote monitoring center under normal circumstances. When the heartbeat packet does not arrive on time, the remote monitoring center considers the communication connection abnormal and triggers an alarm.

10. A high and low temperature environment simulation and maintenance system as claimed in claim 1, characterized in that: The system also includes a fault diagnosis module, which is executed by the server to perform a fault diagnosis algorithm, and identifies and locates system faults by analyzing the working status data of the heating unit, the cooling unit, and the temperature sensor. The fault diagnosis algorithm uses a support vector machine (SVM) classifier, and the specific formula is: Where f(x) is the classification function, sign is the sign function, x is the input working status data feature vector, N SV is the number of support vectors, x i is the coefficient of the support vector, y i is the category label of the support vector, K(x,x i ) is the kernel function and b is the bias term.

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