Method of determining a center temperature, control device, and storage medium

Abstract

The application relates to the technical field of control, in particular to a method for determining a center temperature, a control device and a storage medium, the method comprising the following steps: acquiring a current measured temperature, determining a target temperature interval to which the current measured temperature falls, acquiring a preset function corresponding to the target temperature interval, and determining a current center temperature based on the preset function and the current measured temperature. Compared with a temperature point temperature measurement calibration mode, a preset function corresponding to a temperature interval needs to be established by measuring a small amount of temperature points, so as to cover the entire temperature interval. In this way, the early calibration workload is small. In addition, through function conversion, the calculation accuracy of the center temperature can be improved, accurate and reliable temperature basis is provided for subsequent temperature control, and the temperature control accuracy is improved.

Description

Technical Field

[0001] This application relates to the field of temperature control technology, and in particular to a method, control device, and storage medium for determining a center temperature. Background Technology

[0002] The center temperature of a cavity heater in an oven or drying oven represents the actual heating temperature. However, temperature sensors are typically located on the cavity wall, and the temperature they sense deviates from the temperature at the cavity center. Therefore, when the temperature control system uses the sensor temperature as a reference, the center temperature is not necessarily controlled at the target temperature, resulting in poor temperature control accuracy. It is evident that accurately determining the center temperature is crucial for improving temperature control accuracy. Summary of the Invention

[0003] In view of this, this application provides a method, control device and storage medium for determining the center temperature, which can accurately determine the center temperature and is beneficial to improving temperature control accuracy.

[0004] In a first aspect, this application provides a method for determining the center temperature, comprising: acquiring the current measured temperature; determining the target temperature range into which the current measured temperature falls; acquiring a preset function corresponding to the target temperature range; and determining the current center temperature based on the preset function and the current measured temperature.

[0005] In some embodiments, the independent variable of the preset function is the measured temperature, and the dependent variable is the center temperature.

[0006] In some embodiments, the preset function is a non-linear function.

[0007] In some embodiments, the nonlinear function is a quadratic polynomial function.

[0008] In some embodiments, determining the current center temperature based on a preset function and the current measured temperature includes: substituting the current measured temperature into the preset function to calculate the current center temperature.

[0009] In some embodiments, the aforementioned acquisition of the preset function corresponding to the target temperature range includes: finding the function coefficient group corresponding to the target temperature range in a preset relationship table; and acquiring the preset function based on the function coefficient group and the preset relationship.

[0010] In some embodiments, the function coefficient set is obtained by fitting at least three sets of temperature data within the corresponding temperature range, and the temperature data includes the measured temperature and the true center temperature.

[0011] In some embodiments, the temperature ranges in the preset relationship table are divided according to a constant temperature step size.

[0012] Secondly, this application provides a control device, comprising: At least one processor, and A memory that is communicatively connected to at least one processor, wherein, The memory stores instructions that can be executed by at least one processor to enable the at least one processor to perform the method for determining the center temperature in the first aspect.

[0013] Thirdly, this application provides a computer-readable storage medium storing computer-executable instructions for causing a computer device to perform the method for determining the center temperature as described in the first aspect.

[0014] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0015] One or more embodiments are illustrated by way of example with reference to the accompanying drawings, which are not intended to limit the embodiments, and elements having the same reference numerals in the drawings are designated as similar elements.

[0016] Figure 1 This is a flowchart illustrating the method for determining the center temperature in this application; Figure 2 This is a flowchart illustrating another method for determining the center temperature in this application; Figure 3 This is a schematic diagram of the control device in this application; Figure 4 This is a schematic diagram of the control system in this application. Detailed Implementation

[0017] The present application will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present application, but do not limit the present application in any way. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application. These all fall within the protection scope of the present application.

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0019] It should be noted that, unless there is a conflict, the various features in the embodiments of this application can be combined with each other, all of which are within the protection scope of this application. Furthermore, although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than the module division in the device or the order in the flowchart. In addition, the terms "first," "second," and "third" used herein do not limit the data or execution order, but only distinguish identical or similar items with essentially the same function and effect.

[0020] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. The term "and / or" as used in this specification includes any and all combinations of one or more of the associated listed items.

[0021] Furthermore, the technical features involved in the various embodiments of this application described below can be combined with each other as long as they do not conflict with each other.

[0022] Taking an electric oven as an example, one indicator for judging the accuracy of oven temperature control is the difference between the center temperature of the oven cavity and the set target temperature. For example, if the deviation is within ±5℃, it indicates that the temperature control meets the standard.

[0023] Understandably, accurate temperature control requires precise determination of the center temperature. However, the temperature detected by the temperature sensor is not the center temperature. This is because temperature sensors are typically located on the inner walls and sides of the oven, and cannot directly detect the center temperature of the oven cavity.

[0024] The known method described in this application determines the center temperature by compensating for the difference between the calibrated center temperature and the measured temperature. For example, if the target temperature is 50°C, and the measured center temperature is 50°C, but the current NTC sensor detects a temperature of 45°C, then the calibrated difference is 5°C. When the software program recognizes a measured temperature of 45°C, it considers the center temperature to be 45°C + 5°C, which is 50°C.

[0025] However, the above technical solutions have at least the following shortcomings: 1) High workload for calibration testing: Ovens typically have multiple heating modes and a wide set temperature range (e.g., 50℃-275℃). Taking each temperature point as an example (5℃ increments), a single heating mode requires calibration of 45 temperature points. Consequently, full-mode calibration requires a significant investment of time and manpower. 2) Poor adaptability: This solution only performs temperature point calibration for a single complete product. The fixed difference obtained from the calibration cannot adapt to the differences in products produced in large quantities. Therefore, it is difficult to guarantee the accuracy of temperature control. 3) Unable to adapt to nonlinear temperature fields: The fixed difference calibration does not take into account the nonlinear variation of the temperature field inside the oven, resulting in a large calculation error over a wide temperature range, making it difficult to meet the temperature control accuracy requirements.

[0026] To address the aforementioned technical problems, this application provides a method, control device, and storage medium for determining the center temperature. The method includes: acquiring the current measured temperature, determining the target temperature range into which the current measured temperature falls, acquiring a preset function corresponding to the target temperature range, and determining the current center temperature based on the preset function and the current measured temperature.

[0027] In this embodiment, the temperature range is divided into multiple temperature intervals, and each temperature interval is set with a preset function. The preset function corresponding to the target temperature interval is used to perform a function transformation on the current measured temperature to achieve accurate calculation of the current center temperature.

[0028] Compared to temperature point measurement calibration, establishing a preset function corresponding to a temperature range requires only a small number of temperature point measurements to cover the entire temperature range. This reduces the initial calibration workload. Furthermore, function transformation improves the accuracy of the center temperature calculation, providing a precise and reliable temperature basis for subsequent temperature control and thus enhancing temperature control precision.

[0029] The embodiments of this application will now be described with reference to the accompanying drawings. Those skilled in the art will recognize that, with technological advancements and the emergence of new scenarios, the technical solutions provided in the embodiments of this application are equally applicable to similar technical problems.

[0030] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for determining the center temperature in some embodiments of this application. The method can be executed by a control device that can be used to control the temperature, and is applicable to heating equipment with cavities, such as ovens or drying ovens.

[0031] The above method S100 includes the following steps: S10, obtain the current measured temperature.

[0032] Understandably, temperature control systems typically use temperature sensors to measure temperature at a certain frequency. For example, an NTC temperature sensor is used and is installed on the inner wall of an oven or drying oven. The currently measured temperature is the temperature value currently being measured.

[0033] For example, the control device acquires the voltage or current signal across the NTC sensor, calculates the resistance value, and determines the measurement temperature based on a preset temperature-resistance correspondence.

[0034] Thus, the control device obtains the measured temperature at the current moment, that is, obtains the current measured temperature.

[0035] S20, determine the target temperature range into which the current measured temperature falls.

[0036] Understandably, the control device's memory stores multiple temperature ranges. These multiple temperature ranges are pre-defined and stored in the control device. For example, the oven's operating temperature range is 50°C-275°C, and this temperature range is divided into multiple temperature intervals.

[0037] Once the current measured temperature is obtained, the temperature range in which the current measured temperature falls is the target temperature range.

[0038] S30, obtain the preset function corresponding to the target temperature range.

[0039] Preset functions are configured for each temperature range, and the temperature range and preset function are stored in the control device. In this way, the preset function corresponding to the target temperature range can be found.

[0040] The preset function reflects the relationship between the measured temperature and the center temperature within the corresponding temperature range. In other words, the preset function is pre-calibrated, and the current center temperature can be calculated given the current measured temperature and the corresponding preset function.

[0041] For example, the independent variable of the preset function is the measured temperature, and the dependent variable is the center temperature. By substituting the current measured temperature into the corresponding preset function, the current center temperature can be calculated.

[0042] Understandably, the preset function is set based on a corresponding temperature range, conforming to the temperature field variation pattern within that range. Therefore, by using the preset function based on the current measured temperature within the temperature range, the current center temperature can be accurately calculated.

[0043] In some embodiments, the preset function is a non-linear function. That is, there is a non-linear relationship between the center temperature and the measured temperature.

[0044] It is understandable that the temperature field inside the oven exhibits a non-linear variation pattern, meaning that the difference between the center temperature and the measured temperature also exhibits a non-linear variation pattern.

[0045] In this embodiment, a nonlinear function is used to fit the actual nonlinear temperature difference law of the oven, which can achieve accurate conversion between any measured temperature and the center temperature within the temperature range.

[0046] For example, a nonlinear function is a quadratic polynomial function. A quadratic polynomial function can be characterized by the following formula:

[0047] in, The core temperature, To measure temperature, , and These are the coefficients of a quadratic polynomial.

[0048] The applicant discovered that the quadratic polynomial function can accurately fit the actual nonlinear temperature difference law of the oven and calculate the accurate center temperature.

[0049] To reduce computational load, some implementations store function coefficients as arrays, along with predefined relational expressions. For example, the function coefficients can be... (as mentioned above) The preset relation can be the quadratic polynomial mentioned above. In this way, the function coefficient set and preset relation corresponding to each temperature range can be called by the processor in the control device, without the need to solve the equation system in real time, thereby reducing the amount of calculation and ensuring computational efficiency.

[0050] In some embodiments, the aforementioned step S30 specifically includes: S31, find the function coefficient group corresponding to the target temperature range in the preset relationship table.

[0051] S32, based on the function coefficient set and the preset relation, obtain the preset function.

[0052] The preset relationship table is a table showing the relationship between temperature ranges and function coefficient sets. Therefore, once the target temperature range is known, the corresponding function coefficient set can be found in the preset relationship table.

[0053] For example, the target temperature range is a quadratic polynomial function, and the corresponding set of function coefficients is (0.00128, 0.68, -28).

[0054] The default relation is a quadratic polynomial function. .

[0055] Therefore, based on the set of function coefficients and the preset relation, the preset function can be obtained. .

[0056] In this way, given the pre-defined relationships, one only needs to find the set of function coefficients corresponding to the target temperature range to obtain the pre-defined function. This method eliminates the need to solve the system of equations in real time, thereby reducing the amount of computation and ensuring computational efficiency.

[0057] In some embodiments, the temperature intervals in the preset relationship table are divided according to a constant temperature step size. That is, the interval lengths of each temperature interval are the same.

[0058] For example, for the oven's operating temperature range of 25℃-275℃, it can be divided into several temperature intervals [25℃, 50℃), [50℃, 75℃), [75℃, 100℃)...[250℃, 275℃] by dividing it into constant temperature steps of 25℃.

[0059] Thus, each temperature range corresponds to a set of function coefficients. This set of function coefficients, combined with a preset formula, can accurately simulate the relationship between the center temperature and the measured temperature within that temperature range. Compared to using a single set of function coefficients to calculate the center temperature for the entire operating temperature range, the set of function coefficients fitted for each temperature range is more accurate, and the calculated center temperature has higher accuracy.

[0060] Furthermore, dividing the temperature range into different temperature intervals according to a constant temperature step size ensures that the function coefficient set corresponding to each temperature interval is obtained by fitting uniformly distributed temperature data. This helps to improve the accuracy of the function coefficient set corresponding to each temperature interval, and further improves the accuracy of the center temperature.

[0061] Optionally, the temperature step size can be flexibly adjusted for different types or models of products, such as 20℃, 25℃, or 30℃. Understandably, the smaller the temperature step size, the higher the accuracy of the center temperature calculation. Thus, this method of determining the center temperature can adapt to the differences in products produced in large quantities, exhibiting strong adaptability and ensuring the accuracy of temperature calculation.

[0062] In other embodiments, the product has multiple heating modes, and the preset functions for different heating modes within each temperature range are independently fitted, meaning that there is a one-to-one correspondence between the temperature range, the heating mode, and the preset function. Thus, further subdividing the heating modes based on the subdivided temperature ranges helps improve the accuracy of the center temperature.

[0063] During product development, when a new heating mode is added, only the function coefficient set of that heating mode needs to be added. There is no need to reconstruct the entire algorithm program, making the calculation of the center temperature during product development faster and more reliable.

[0064] In some embodiments, the function coefficient set is obtained by fitting at least three sets of temperature data within the corresponding temperature range, and the temperature data includes the measured temperature and the true center temperature.

[0065] For example, in a certain heating mode, taking the temperature range [150℃, 175℃] as an example, the temperature at the left end of the temperature range is 150℃, the temperature at the middle is 162.5℃, and the temperature at the right end is 175℃. When the temperature sensor detects these three temperature values ​​respectively, the cavity center temperature is measured by a high-precision temperature tester to obtain three true center temperatures of 168℃, 181℃, and 195℃.

[0066] The measured temperature and the actual center temperature constitute a set of temperature data, thus obtaining three sets of temperature data (150℃, 168℃), (162.5℃, 181℃) and (175℃, 195℃).

[0067] It is understood that in other embodiments, multiple sets of temperature data can be obtained through testing. Fitting the function coefficient set corresponding to the temperature range using at least three sets of temperature data within that temperature range can make the function coefficient set accurate, thereby making the center temperature accurate.

[0068] S40 determines the current center temperature based on a preset function and the current measured temperature.

[0069] As mentioned above, the preset function is pre-calibrated and defines the relationship between the measured temperature and the center temperature. Therefore, the preset function can be used to convert the current measured temperature to obtain the current center temperature.

[0070] In some embodiments, the aforementioned step S40 specifically includes: substituting the current measured temperature into a preset function to calculate the current center temperature.

[0071] For example, for the preset function The current measured temperature is known. ,Will Substituting the values ​​into the preset function will allow you to calculate the current center temperature.

[0072] Thus, the mapping conversion from the current measured temperature to the current center temperature is completed, and the accurate current center temperature is obtained.

[0073] Compared to temperature point measurement calibration, the above method requires only a small number of temperature point measurements to establish a preset function corresponding to the temperature range, thus covering the entire temperature range. This reduces the initial calibration workload. Furthermore, function transformation improves the accuracy of the center temperature calculation, providing a precise and reliable temperature basis for subsequent temperature control and enhancing overall temperature control precision.

[0074] In addition, the current center temperature can be used in a temperature control system, which controls the heating power based on the difference between the current center temperature and the target temperature, so that the current center temperature reaches the target temperature, thereby achieving precise temperature control.

[0075] The method for determining the center temperature in this application achieves accurate calculation of the center temperature by dividing the temperature range, establishing a preset function corresponding to the temperature range, and calling the preset function. The specific implementation of this method is as follows: A1, divide the temperature range.

[0076] Taking an oven as an example, the overall working temperature range of the oven [20℃, 275℃] is divided into multiple temperature intervals according to a constant temperature step of 25℃, so as to construct a temperature interval array Header_tab_u16[]={[25℃, 50℃), [50℃,75℃), [75℃, 100℃)……[250℃, 275℃]}.

[0077] A2 measures temperature data within each temperature range.

[0078] In heating mode, set the oven temperature to the left, middle, and right endpoints of the temperature range, respectively. After the oven temperature stabilizes, record the measured temperatures. .

[0079] The true center temperature of the oven cavity at the corresponding moment was measured using a high-precision temperature testing instrument. Temperature data includes ( , ),Record( , Each temperature range corresponds to at least three sets of temperature data.

[0080] A3, construct a preset function.

[0081] Set the relation as a quadratic polynomial, and substitute the three sets of temperature data for each temperature range into the basic formula of the quadratic polynomial. ,in, for , for Solving the set of function coefficients corresponding to this temperature range based on a system of three linear equations. .

[0082] For example, for a temperature range [150℃, 175℃], three temperature points are selected: 150℃, 162.5℃, and 175℃, yielding three sets of temperature data: (150℃, 168℃), (162.5℃, 181℃), and (175℃, 195℃). These three sets of temperature data are then substituted into the formula. Establish the following system of simultaneous equations:

[0083]

[0084]

[0085] Solving for the function coefficient set yields the solution. , , .

[0086] function coefficient set Stored in the array Coeff_tab[][] at the position corresponding to the temperature range [150℃, 175℃).

[0087] As can be seen, the function coefficient groups in the array Coeff_tab[][] correspond one-to-one with the temperature ranges in the array Header_tab_u16[]. These two arrays are pre-stored in the memory of the control device for the processor to call in real time to calculate the center temperature.

[0088] Understandably, steps A1 to A3 above are completed before the product leaves the factory. After the product leaves the factory, the internal control device of the product stores the mapping relationship between the function coefficient group and the temperature range, as well as the preset relationship, for subsequent determination of the center temperature.

[0089] A4, determine the center temperature.

[0090] like Figure 2 As shown, the current measured temperature collected by the sensor is read out. , the current measured temperature Match the temperature range in the Header_tab_u16[] array to find the corresponding target temperature range [150℃, 175℃).

[0091] Find the set of coefficients of the quadratic polynomial function corresponding to the target temperature range from the array Coeff_tab[][]. ,in, , , The current measured temperature Substituting into the quadratic polynomial function The current center temperature is calculated. It is 179.52℃.

[0092] In addition, the control device will display the current center temperature. The output is sent to the oven temperature control system as the basis for temperature adjustment.

[0093] The method for determining the center temperature in this application, as described above, has at least the following advantages: 1) It can significantly reduce the workload of calibration testing.

[0094] Only three temperature points are needed for testing within each temperature range. After fitting a preset function, the preset function is used to interpolate and calculate the center temperature for other temperature points within the range. Therefore, there is no need to measure and calibrate the value at each temperature point, thus significantly reducing the workload of calibration testing.

[0095] 2) It can accurately calculate the center temperature.

[0096] The center temperature is calculated by interpolation using a nonlinear function within each temperature range. This nonlinear function conforms to the characteristics of nonlinear temperature rise in the temperature field, thus enabling accurate calculation of the center temperature.

[0097] 3) The calculation method has strong adaptability.

[0098] Understandably, the temperature step size can be flexibly adjusted according to the product. In some embodiments, a smaller temperature step size is used to achieve higher calculation accuracy. This allows for compatibility with products of the same type or model. Furthermore, for new heating modes, only the function coefficient array for that mode needs to be added; there is no need to reconstruct the entire program for determining the center temperature. This makes the product development process faster and more reliable.

[0099] This application also provides a control device; please refer to [link / reference]. Figure 3 The control device 300 includes a processor 301 and a memory 302. The processor 301 is connected to the memory 302, for example, the processor 301 can be connected to the memory 302 via a bus.

[0100] Processor 301 is configured to support the control device in performing the steps of the method for determining the center temperature in the above embodiments. Processor 301 may be a central processing unit (CPU), a network processor (NP), a hardware chip, or any combination thereof. The aforementioned hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The aforementioned PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0101] Memory 302 is used to store program code, etc. Memory 302 may include volatile memory (VM), such as random access memory (RAM); memory 1002 may also include non-volatile memory (NVM), such as read-only memory (ROM), flash memory, hard disk drive (HDD), or solid-state drive (SSD); memory 302 may also include combinations of the above types of memory.

[0102] In some possible cases, the processor 301 may call the program code to perform the following operations: obtain the current measured temperature; determine the target temperature range into which the current measured temperature falls; obtain a preset function corresponding to the target temperature range; and determine the current center temperature based on the preset function and the current measured temperature.

[0103] In some possible cases, the independent variable of the preset function is the measured temperature, and the dependent variable is the center temperature.

[0104] In some possible cases, the preset function is a non-linear function.

[0105] In some possible cases, the nonlinear function is a quadratic polynomial function.

[0106] In some possible cases, the aforementioned determination of the current center temperature based on a preset function and the current measured temperature includes: substituting the current measured temperature into the preset function to calculate the current center temperature.

[0107] In some possible cases, the aforementioned acquisition of the preset function corresponding to the target temperature range includes: finding the function coefficient set corresponding to the target temperature range in a preset relationship table; and acquiring the preset function based on the function coefficient set and the preset relationship.

[0108] In some possible cases, the function coefficient set is obtained by fitting at least three sets of temperature data within the corresponding temperature range, including the measured temperature and the true center temperature.

[0109] In some possible cases, the temperature range in the preset relationship table is divided according to a constant temperature step.

[0110] This application also provides a control system; please refer to [link / reference needed]. Figure 4 The control system includes a controller and a power supply, with the power supply providing power to the controller.

[0111] The controller (MCU) includes a processor (CPU), a storage module, and a power supply module. The CPU pins are connected to the temperature sensor, and the CPU pins are also connected to the power supply module.

[0112] The temperature sensor transmits the sensed electrical signal to the CPU, which then determines the measured temperature based on this signal. The power supply module is the MCU's power supply circuit, used to convert external voltage into a voltage compatible with the MCU.

[0113] The storage module can be the MCU's built-in Flash memory or RAM data storage, used to store the algorithm calculation module. The CPU calls the algorithm calculation module to calculate the center temperature based on the electrical signal collected by the temperature sensor.

[0114] In some embodiments, the algorithm calculation module includes a first acquisition module, a first determination module, a second acquisition module, and a second determination module.

[0115] The first acquisition module is used to acquire the current measured temperature, the first determination module is used to determine the target temperature range into which the current measured temperature falls, the second acquisition module is used to acquire the preset function corresponding to the target temperature range, and the second determination module is used to determine the current center temperature based on the preset function and the current measured temperature.

[0116] In some embodiments, the independent variable of the preset function is the measured temperature, and the dependent variable is the center temperature. In some embodiments, the preset function is a nonlinear function. In some embodiments, the nonlinear function is a quadratic polynomial function.

[0117] In some embodiments, the aforementioned second determining module is further configured to substitute the current measured temperature into a preset function to calculate the current center temperature.

[0118] In some embodiments, the aforementioned second acquisition module is further configured to find the function coefficient group corresponding to the target temperature range in a preset relationship table; and to acquire a preset function based on the function coefficient group and the preset relationship.

[0119] In some embodiments, the function coefficient set is obtained by fitting at least three sets of temperature data within the corresponding temperature range, and the temperature data includes the measured temperature and the true center temperature.

[0120] In some embodiments, the temperature ranges in the preset relationship table are divided according to a constant temperature step size.

[0121] The algorithm calculation module divides the temperature range into multiple temperature intervals, each with a corresponding preset function. The preset function corresponding to the target temperature interval is used to perform a function transformation on the current measured temperature, thereby achieving accurate calculation of the current center temperature.

[0122] Compared to point-based temperature measurement calibration, establishing a preset function corresponding to a temperature range requires only a small number of temperature measurements to cover the entire range. This significantly reduces the initial calibration workload. Furthermore, function transformation improves the accuracy of the calculated center temperature, providing a precise and reliable temperature basis for subsequent temperature control and thus enhancing overall temperature control precision. This application also provides a computer-readable storage medium storing a computer program, the computer program including program instructions, which, when executed by a computer, cause the computer to perform the method for determining the center temperature as described in the foregoing embodiments.

[0123] The above-disclosed embodiments are merely preferred embodiments of this application and should not be construed as limiting the scope of this application. Therefore, any equivalent variations made in accordance with the claims of this application shall still fall within the scope of this application.

Claims

1. A method for determining the center temperature, characterized in that, include: Get the current measured temperature; Determine the target temperature range into which the current measured temperature falls; Obtain the preset function corresponding to the target temperature range; The current center temperature is determined based on the preset function and the current measured temperature.

2. The method according to claim 1, characterized in that, The independent variable of the preset function is the measured temperature, and the dependent variable is the center temperature.

3. The method according to claim 2, characterized in that, The preset function is a non-linear function.

4. The method according to claim 3, characterized in that, The nonlinear function is a quadratic polynomial function.

5. The method according to claim 2, characterized in that, The process of determining the current center temperature based on the preset function and the current measured temperature includes: The current measured temperature is substituted into the preset function to calculate the current center temperature.

6. The method according to claim 1, characterized in that, The step of obtaining the preset function corresponding to the target temperature range includes: Find the group of function coefficients corresponding to the target temperature range in the preset relationship table; Based on the set of function coefficients and the preset relation, the preset function is obtained.

7. The method according to claim 6, characterized in that, The set of function coefficients is obtained by fitting at least three sets of temperature data within the corresponding temperature range, and the temperature data includes the measured temperature and the true center temperature.

8. The method according to claim 6, characterized in that, The temperature ranges in the preset relationship table are divided according to a constant temperature step size.

9. A control device, characterized in that, include: At least one processor, and The memory communicatively connected to the at least one processor, wherein, The memory stores instructions executable by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method according to any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions for causing a computer device to perform the method as described in any one of claims 1-8.

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