Temperature control practical training platform and practical training method

Abstract

The invention provides a temperature control practical training platform and method, and the platform comprises a control unit, a temperature sensing unit, a temperature control unit and a processing unit, and the temperature sensing unit is used for circularly obtaining a temperature measurement value of a to-be-measured object; the control unit is used for acquiring a temperature set value input by a to-be-trained person, and circularly generating a temperature control parameter for controlling the temperature control unit based on the temperature measured value, the temperature set value and a PID control algorithm; the temperature control unit is used for performing temperature control on the to-be-measured object based on the temperature control parameters; the control unit is further used for determining whether a preset condition is met or not based on the temperature measurement value and the temperature set value, and stopping generating the temperature control parameter when the preset condition is met; the processing unit is used for acquiring and storing the temperature measurement value, the temperature setting value and the temperature control parameter, and generating an evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter. The technical ability of the to-be-trained personnel can be effectively improved.

Description

Technical Field

[0001] The present application relates to the field of industrial automation technology, and in particular to a temperature control training platform and method. Background Art

[0002] Temperature control technology plays a vital role in many fields such as chemical industry, pharmaceutical industry, food processing, aerospace, etc. In order to ensure the quality of maintenance, improve production efficiency, ensure equipment safety, and reduce the accident rate and casualty rate caused by misoperation, the accuracy and stability of temperature control technology are required to be higher and higher. The existing training methods are out of touch with the needs of the industry, resulting in a lack of practical operation experience and insufficient technical capabilities. Summary of the invention

[0003] The present application aims to solve one of the technical problems in the related art at least to some extent.

[0004] In the first aspect, the present application proposes a temperature control training platform, comprising a control unit, a temperature sensing unit, a temperature control unit and a processing unit, wherein the control unit stores a proportional integral differential PID control algorithm pre-input by a trainee; the temperature sensing unit is used to cyclically obtain the temperature measurement value of the object to be measured; the control unit is used to obtain the temperature setting value input by the trainee, and based on the temperature measurement value, the temperature setting value and the PID control algorithm, cyclically generate a temperature control parameter for controlling the temperature control unit; the temperature control unit is used to perform temperature control on the object to be measured based on the temperature control parameter; the control unit is also used to determine whether a preset condition is met based on the temperature measurement value and the temperature setting value, and stop generating the temperature control parameter when it is determined that the preset condition is met; the processing unit is used to generate an evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter, and store the temperature measurement value, the temperature setting value, the temperature control parameter and the evaluation value.

[0005] In one implementation, the object to be measured is a thermal resistor or a thermocouple.

[0006] In one implementation, there are multiple temperature sensing units, and each temperature measuring unit corresponds to one temperature measurement value.

[0007] In one implementation, the platform further includes a display unit for displaying the temperature measurement value and the temperature setting value.

[0008] In one implementation, the preset condition includes that a deviation between the temperature measurement value and the temperature setting value is within a preset range.

[0009] In one implementation, the temperature sensing unit includes one of the following: a resistance sensing unit; a bimetallic thermometer; a pressure thermometer; an infrared thermometer; or an electronic thermometer.

[0010] In one implementation, the processing unit is specifically used to: generate a first evaluation parameter based on the number of times the temperature measurement value is cyclically obtained; obtain a deviation value between each of the temperature measurement values ​​and the temperature setting value; generate a second evaluation parameter based on the deviation value; and generate the evaluation value based on the first evaluation parameter and the second evaluation parameter.

[0011] In an optional implementation, the processing unit is further configured to generate training guidance information based on a pre-established expert knowledge base, the first evaluation parameter, and the second evaluation parameter.

[0012] In a second aspect, the present application provides a temperature control training method, which is applied to the temperature control training platform as described in the first aspect, and the method includes: cyclically obtaining the temperature measurement value of the object to be measured; obtaining the temperature setting value input by the person to be trained, and based on the temperature measurement value, the temperature setting value and the PID control algorithm, cyclically generating temperature control parameters for controlling the temperature control unit; performing temperature control on the object to be measured based on the temperature control parameters; determining whether a preset condition is met based on the temperature measurement value and the temperature setting value, and stopping generating the temperature control parameters when it is determined that the preset condition is met; generating an evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter, and storing the temperature measurement value, the temperature setting value, the temperature control parameter and the evaluation value.

[0013] In one implementation, the generating of the evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter includes: generating a first evaluation parameter based on the number of times the temperature measurement value is cyclically obtained; obtaining a deviation value between each of the temperature measurement value and the temperature setting value; generating a second evaluation parameter based on the deviation value; generating the evaluation value based on the first evaluation parameter and the second evaluation parameter. A temperature control training platform, characterized in that it includes a control unit, a temperature sensing unit, a temperature control unit and a processing unit, wherein the control unit stores a proportional integral differential PID control algorithm pre-input by a trainee; the temperature sensing unit is used to cyclically obtain the temperature measurement value of the object to be measured; the control The control unit is used to obtain the temperature setting value input by the person to be trained, and based on the temperature measurement value, the temperature setting value and the PID control algorithm, cyclically generate temperature control parameters for controlling the temperature control unit; the temperature control unit is used to perform temperature control on the object to be measured based on the temperature control parameters; the control unit is also used to determine whether a preset condition is met based on the temperature measurement value and the temperature setting value, and stop generating the temperature control parameter when it is determined that the preset condition is met; the processing unit is used to generate an evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter, and store the temperature measurement value, the temperature setting value, the temperature control parameter and the evaluation value.

[0014] In an optional implementation, the method further includes: generating training guidance information based on a pre-established expert knowledge base, the first evaluation parameter, and the second evaluation parameter.

[0015] The temperature control training platform and method provided in this application can control the temperature of the target object based on the PID control algorithm of the technician to be trained, and generate an evaluation value based on the relevant data in the temperature control process. It can improve the practicality of temperature control training and effectively improve the technical ability of the trainees.

[0016] In a third aspect, the present application proposes a computer-readable storage medium for storing instructions, which, when executed, enables the method described in the second aspect to be implemented.

[0017] In a fourth aspect, the present application proposes a computer program product, comprising a computer program, which implements the steps of the method described in the second aspect when executed by a processor.

[0018] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0020] Figure 1 It is a structural schematic diagram of a temperature control training platform provided in an embodiment of the present application;

[0021] Figure 2 It is a flow chart of a temperature control training method provided in an embodiment of the present application;

[0022] Figure 3 It is a schematic diagram of a temperature control training process provided in an embodiment of the present application. DETAILED DESCRIPTION

[0023] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0024] The temperature control training platform and experimental method of the embodiments of the present application are described below with reference to the accompanying drawings.

[0025] Figure 1 Schematic diagram of a temperature control training platform provided in the embodiment of the present application. Figure 1 As shown, the platform 100 may include a control unit 101, a temperature sensing unit 102, a temperature control unit 103 and a processing unit 104, wherein the control unit 101 stores a PID control algorithm pre-input by a trainee; the temperature sensing unit 102 is used to cyclically obtain the temperature measurement value of the object to be measured; the control unit 101 is used to obtain the temperature setting value input by the trainee, and based on the temperature measurement value, the temperature setting value and the PID control algorithm, cyclically generate the temperature control parameters for controlling the temperature control unit 103; the temperature control unit 103 is used to perform temperature control on the object to be measured based on the temperature control parameters; the control unit 101 is also used to determine whether a preset condition is met based on the temperature measurement value and the temperature setting value, and stop generating the temperature control parameters when it is determined that the preset condition is met; the processing unit 104 is used to generate an evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter, and store the temperature measurement value, the temperature setting value, the temperature control parameter and the evaluation value.

[0026] Exemplarily, the temperature sensing unit 102 cyclically obtains the temperature measurement value of the object to be measured at preset time intervals. After obtaining the temperature setting value input by the person to be trained, the control unit 101 generates a temperature control parameter for controlling the temperature control unit 103 based on the latest obtained temperature measurement value and temperature setting value at preset time intervals in combination with the PID control algorithm, and transmits the temperature control parameter to the temperature control unit 103. The temperature control unit 103 heats up or cools down the object to be measured based on the temperature control parameter, and controls whether the preset conditions are met based on the temperature measurement value and the temperature setting value, and stops generating the temperature control parameter when it is determined that the preset conditions are met. The processing unit 104 obtains the temperature measurement value obtained by the temperature sensing unit 102 each time during the above-mentioned whole process, as well as each temperature control parameter generated by the control unit 101, and generates an evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter.

[0027] In some embodiments, there are multiple persons to be trained, and the processing unit 104 may store the corresponding temperature measurement values, temperature control parameters, temperature setting values ​​and evaluation values ​​of each person to be trained separately, and perform comparative analysis based on the temperature measurement values, temperature control parameters, temperature setting values ​​and evaluation values ​​of different persons to be trained to generate an evaluation value corresponding to each person to be trained.

[0028] In one implementation, the object to be measured is a thermal resistor or a thermocouple.

[0029] In one implementation, there are multiple temperature sensing units 102, and each temperature measuring unit corresponds to a temperature measurement value.

[0030] In one implementation, the platform further includes a display unit 105 for displaying temperature measurement values ​​and temperature setting values.

[0031] In one implementation, the preset condition includes that a deviation between a temperature measurement value and a temperature setting value is within a preset range.

[0032] In some embodiments, different deviation ranges may be set for different temperature control units 103 .

[0033] As an example, the temperature control unit 103 is taken as a low temperature oil tank. The stability of the low temperature oil tank is ±0.007°C, and the deviation range corresponding to the low temperature oil tank can be set to ±0.007°C.

[0034] As an example, the temperature control unit 103 is taken as a high temperature furnace. The stability of the high temperature furnace is generally better than ±0.1°C, so the deviation range corresponding to the high temperature furnace can be set to ±0.1°C.

[0035] In one implementation, the temperature sensing unit 102 includes one of the following: a resistance sensing unit; a bimetallic thermometer; a pressure thermometer; an infrared thermometer; or an electronic thermometer.

[0036] For example, taking the object to be measured as a thermal resistor as an example, the resistance sensing unit can be used as the temperature sensing unit 102 .

[0037] In one implementation, the processing unit 104 is specifically used to: generate a first evaluation parameter based on the number of cyclic acquisitions of temperature measurement values; obtain a deviation value between each temperature measurement value and a temperature setting value; generate a second evaluation parameter based on the deviation value; and generate an evaluation value based on the first evaluation parameter and the second evaluation parameter.

[0038] Exemplarily, a first evaluation value for evaluating the PID control algorithm is generated based on the number of cyclic acquisitions and the change trend of the temperature measurement value; a second evaluation value for evaluating the overshoot and oscillation characteristics of the PID control algorithm is generated based on the deviation between each temperature measurement value and the temperature setting value; and an evaluation value for evaluating the PID control algorithm is generated based on each evaluation value and the corresponding preset weight.

[0039] In one implementation, the processing unit 104 is further configured to generate training guidance information based on a pre-established expert knowledge base, the first evaluation parameter, and the second evaluation parameter.

[0040] Exemplarily, based on a pre-established expert knowledge base, improvement suggestions for the PID control algorithm are generated in combination with the first evaluation parameter and the second evaluation parameter, and the improvement suggestion information is sent to the subject to be trained.

[0041] Among them, in an embodiment of the present application, the above-mentioned expert knowledge base includes expert experience knowledge of PID parameter setting and expert experience knowledge of PID parameter optimization.

[0042] In some embodiments, the platform further includes an overload protection module for cutting off power to the platform when an overload failure occurs on the platform.

[0043] Exemplarily, the overload protection module may include a ground circuit breaker, a thermal relay and a current sensor. The two current sensors are respectively arranged between the neutral wire and the live wire of the temperature control unit 103. If the two currents obtained by the two current sensors are unbalanced, it is considered that a leakage has occurred, an alarm message is issued and the power supply is automatically cut off.

[0044] In some embodiments, the platform further includes an over-temperature protection module, which is used to stop heating the object to be tested when the temperature measurement value is greater than or equal to a preset threshold.

[0045] Exemplarily, the over-temperature protection module may automatically cut off the power supply of the platform when the temperature measurement value is greater than or equal to a preset threshold.

[0046] In some embodiments, the platform further comprises an emergency switch for quickly cutting off power supply in case of an accident.

[0047] Through the device of the embodiment of the present application, the temperature of the target object can be controlled based on the PID control algorithm of the technician to be trained, and an evaluation value can be generated based on the relevant data in the temperature control process. The practicality of temperature control training can be improved, and the technical ability of the trainees to be trained can be effectively improved.

[0048] See also Figure 2 , Figure 2 is a flow chart of a temperature control training method provided in an embodiment of the present application. The method can be applied to the temperature control training platform provided in any embodiment of the present application. Figure 2 As shown, the method may include but is not limited to the following steps:

[0049] Step S201: cyclically acquiring the temperature measurement value of the object to be measured.

[0050] Step S202: obtaining the temperature setting value input by the person to be trained, and cyclically generating temperature control parameters for controlling the temperature control unit based on the temperature measurement value, the temperature setting value and the PID control algorithm.

[0051] Step S203: performing temperature control on the object to be measured based on the temperature control parameters.

[0052] Step S204: determining whether a preset condition is satisfied based on the temperature measurement value and the temperature setting value, and stopping generating the temperature control parameter when it is determined that the preset condition is satisfied.

[0053] Step S205: Acquire and store the temperature measurement value, the temperature setting value and the temperature control parameter, and generate an evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter.

[0054] Exemplarily, the evaluation value may include at least one of the following: ISE (Integral of Squared Error), IAE (Integral of Absolute Error), ITSE (Integral of Time-weighted Squared Error), and ITAE (Integral of Time-weighted Absolute Error).

[0055] In one implementation, an evaluation value is generated based on temperature measurement values, temperature setting values, and temperature control parameters, including: generating a first evaluation parameter based on the number of cycles of obtaining the temperature measurement value; obtaining a deviation value between each temperature measurement value and the temperature setting value; generating a second evaluation parameter based on the deviation value; and generating an evaluation value based on the first evaluation parameter and the second evaluation parameter.

[0056] In one implementation, the method further includes: generating training guidance information based on a pre-established expert knowledge base, a first evaluation parameter, and a second evaluation parameter.

[0057] By implementing the embodiments of the present application, the temperature of the target object can be controlled based on the PID control algorithm of the technician to be trained, and an evaluation value can be generated based on the relevant data in the temperature control process. The practicality of temperature control training can be improved, and the technical ability of the trainees to be trained can be effectively improved.

[0058] It should be noted that the aforementioned explanation of the temperature control training platform embodiment is also applicable to the temperature control training method of this embodiment, and will not be repeated here.

[0059] As an example, see Figure 3 , Figure 3 Schematic diagram of a temperature control training process provided by the embodiment of the present application. Figure 3 As shown, after the experimental platform is started, a self-test program is first executed to determine whether the platform can operate normally. After that, the trainees can log in to the experimental platform through the pre-set authentication information and set the temperature. The temperature sensing unit will collect the temperature of the object to be tested in real time, and compare the collected temperature with the set temperature to determine whether the actual collected temperature reaches the set temperature. When it is determined that the difference between the actual collected temperature and the set temperature is within the accuracy range of the temperature control unit, heating or cooling is stopped, and the actual collected temperature and PID control algorithm are analyzed and evaluated, and a corresponding report is generated, and finally the relevant data in the training process is stored in the database.

[0060] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processing unit, they are used to implement the methods provided by the above embodiments.

[0061] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which implements the method provided by the above embodiments when executed by a processing unit.

[0062] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this application are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0063] In the description of this application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; “and / or” in this article is merely a way to describe the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0064] It should be noted that personal information from users should be collected for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. In addition, such collection / sharing should be carried out after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign the agreement / authorization including authorization of relevant user information before the user uses the function. In addition, any necessary steps should be taken to protect and safeguard access to such personal information data and ensure that others who have access to personal information data comply with its privacy policy and procedures.

[0065] This application is expected to provide an implementation scheme for users to selectively block the use or access of personal information data. That is, this application is expected to provide hardware and / or software to prevent or block access to such personal information data. Once the personal information data is no longer needed, risks can be minimized by limiting data collection and deleting data. In addition, when applicable, personal identifiers are removed from such personal information to protect the privacy of users.

[0066] In the description of the aforementioned embodiments, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0067] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0068] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application 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 technicians in the technical field to which the embodiments of the present application belong.

[0069] 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, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processing unit, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory unit (RAM), a read-only memory unit (ROM), an erasable and programmable read-only memory unit (EPROM or flash memory unit), an optical fiber device, and a portable compact disk read-only memory unit (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then storing it in a computer storage unit.

[0070] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a storage unit 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.

[0071] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment 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.

[0072] In addition, each functional unit in each embodiment of the present application 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.

[0073] The storage medium mentioned above may be a read-only storage unit, a disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A temperature control training platform, characterized in that: It includes a control unit, a temperature sensing unit, a temperature control unit and a processing unit, wherein: The control unit stores a proportional-integral-differential (PID) control algorithm to be pre-input by the training personnel; The temperature sensing unit is used to cyclically obtain the temperature measurement value of the object to be measured; The control unit is used to obtain the temperature setting value input by the person to be trained, and based on the temperature measurement value, the temperature setting value and the PID control algorithm, cyclically generate temperature control parameters for controlling the temperature control unit; The temperature control unit is used to perform temperature control on the object to be measured based on the temperature control parameter; The control unit is further configured to determine whether a preset condition is satisfied based on the temperature measurement value and the temperature setting value, and stop generating the temperature control parameter when it is determined that the preset condition is satisfied; The processing unit is used to generate an evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter, and store the temperature measurement value, the temperature setting value, the temperature control parameter and the evaluation value.

2. The platform according to claim 1, characterized in that It is characterized in that The object to be measured is a thermal resistor or a thermocouple.

3. The platform according to claim 1, characterized in that There are multiple temperature sensing units, and each temperature measuring unit corresponds to one temperature measurement value.

4. The platform according to claim 1, characterized in that The platform further comprises a display unit for displaying the temperature measurement value and the temperature setting value.

5. The platform according to claim 1, characterized in that The preset condition includes that a deviation between the temperature measurement value and the temperature setting value is within a preset range.

6. The platform according to claim 1, characterized in that The temperature sensing unit includes one of the following: Resistor sensing unit; Bimetallic thermometers; Pressure thermometer; Infrared thermometer; Electronic thermometer.

7. The platform according to claim 1, characterized in that The processing unit is specifically used for: generating a first evaluation parameter based on the number of cyclic acquisitions of the temperature measurement value; Obtaining a deviation value between each of the temperature measurement values ​​and the temperature setting value; generating a second evaluation parameter based on the deviation value; The evaluation value is generated based on the first evaluation parameter and the second evaluation parameter.

8. The platform according to claim 7, characterized in that The processing unit is also used for: Training guidance information is generated based on a pre-established expert knowledge base, the first evaluation parameter, and the second evaluation parameter.

9. A temperature control training method, characterized in that: The method is applied to the temperature control training platform according to any one of claims 1 to 8, and the method comprises: Circularly obtain the temperature measurement value of the object to be measured; Acquire the temperature setting value input by the person to be trained, and based on the temperature measurement value, the temperature setting value and the PID control algorithm, cyclically generate temperature control parameters for controlling the temperature control unit; Performing temperature control on the object to be measured based on the temperature control parameter; determining whether a preset condition is satisfied based on the temperature measurement value and the temperature setting value, and stopping generating the temperature control parameter when it is determined that the preset condition is satisfied; An evaluation value is generated based on the temperature measurement value, the temperature setting value, and the temperature control parameter, and the temperature measurement value, the temperature setting value, the temperature control parameter, and the evaluation value are stored.

10. The method according to claim 9, characterized in that The generating of the evaluation value based on the temperature measurement value, the temperature setting value and the temperature control parameter comprises: generating a first evaluation parameter based on the number of cyclic acquisitions of the temperature measurement value; Obtaining a deviation value between each of the temperature measurement values ​​and the temperature setting value; generating a second evaluation parameter based on the deviation value; The evaluation value is generated based on the first evaluation parameter and the second evaluation parameter.

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