A method, device, equipment and storage medium for improving temperature measurement stability

Abstract

The present invention discloses a method, device, equipment and storage medium for improving temperature measurement stability, which relates to the technical field of imaging temperature measurement. The method includes the following steps: The method includes the following steps: S1: Obtain the gray-scale outputs of the imaging pixel points of the blackbodies at different temperatures and the gray-scale outputs of the non-sensitive pixel points at each ambient temperature, and establish a mapping table of the blackbody temperature and the ambient temperature using the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points; S2: Construct a temperature measurement model according to the mapping table; S3: Obtain the gray-scale outputs of the imaging pixel points corresponding to the target to be measured and the gray-scale outputs of the non-sensitive pixel points on the detector, and calculate the corresponding target temperature through the temperature measurement model; S4: Correct the target temperature to obtain the true temperature; By using the non-sensitive pixel points on the detector, the noise brought by non-light factors in the detector output signal is filtered in real time, greatly improving the stability of the output temperature.

Description

Technical Field

[0001] The present invention relates to the technical field of imaging temperature measurement, and specifically provides a method, device, equipment and storage medium for improving temperature measurement stability. Background Art

[0002] In the field of object temperature measurement, imaging-based temperature measurement (such as infrared imaging temperature measurement) is widely used due to its non-contact measurement method, wide measurement range, high temperature measurement sensitivity and measurement speed. Existing equipment converts the radiation energy received by the detector into an electrical signal through the optical system of the thermometer and calculates the surface temperature of the object to be measured through a temperature calibration formula. However, affected by the environment, electronic circuit interference, etc., the output temperature is unstable. The existing technology uses traditional hardware filtering and software smoothing methods to process the output fluctuations, which can neither completely filter out the fluctuations, nor avoid system delay, and cannot adapt to complex and changeable environments. Complex algorithms consume system resources and affect the real-time output of the system. Summary of the Invention

[0003] The purpose of the present invention is to solve the technical problem that imaging temperature measurement usually uses traditional hardware filtering and software smoothing methods to process output fluctuations, which can neither completely filter out the fluctuations, nor avoid system delay, and cannot adapt to complex and changeable environments. The present invention provides a method, device, equipment and storage medium for improving temperature measurement stability.

[0004] The present invention specifically adopts the following technical solutions to achieve the above purpose:

[0005] A method for improving temperature measurement stability, the method comprising the following steps:

[0006] S1: Obtain the gray-scale outputs of the imaging pixel points of the blackbody corresponding to different temperatures and the gray-scale outputs of the non-sensitive pixel points at each environmental temperature, and establish a mapping table between the blackbody temperature, the environmental temperature using the difference between the gray-scale outputs of the imaging pixel points and the gray-scale outputs of the non-sensitive pixel points;

[0007] S2: Construct a temperature measurement model according to the mapping table;

[0008] S3: Obtain the gray-scale outputs of the imaging pixel points corresponding to the target to be measured on the detector and the gray-scale outputs of the non-sensitive pixel points, and calculate the corresponding target temperature through the temperature measurement model;

[0009] S4: Correct the target temperature to obtain the real temperature.

[0010] Further, the establishment of the mapping table includes:

[0011] S11: Record the blackbody temperature of the current blackbody;

[0012] S12: By changing the environmental temperature, obtain the gray-scale outputs of the imaging pixel points on the detector corresponding to the blackbody radiation at different environmental temperatures and the gray-scale outputs of the non-sensitive pixel points.

[0013] S13: Change the blackbody temperature of the blackbody and record it, and repeat step S12.

[0014] S14: Obtain the gray-scale outputs of the imaging pixel points on the detector and the gray-scale outputs of the non-sensitive pixel points of the blackbodies with different blackbody temperatures at different environmental temperatures, calculate the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points, and establish a mapping table according to the difference - blackbody temperature - environmental temperature.

[0015] Further, the establishment of the mapping table includes:

[0016] S101: Record the current environmental temperature.

[0017] S102: By changing the blackbody temperature of the blackbody, obtain the gray-scale outputs of the imaging pixel points on the detector corresponding to the blackbody radiation and the gray-scale outputs of the non-sensitive pixel points.

[0018] S103: Change the environmental temperature and record it, and repeat step S102.

[0019] S104: Obtain the gray-scale outputs of the imaging pixel points on the detector and the gray-scale outputs of the non-sensitive pixel points of the blackbodies with different blackbody temperatures at different environmental temperatures, calculate the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points, and establish a mapping table according to the difference - blackbody temperature - environmental temperature.

[0020] Further, use the fitting method to construct the functional relationship among the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points, the blackbody temperature, and the environmental temperature to obtain the temperature measurement model.

[0021] Further, obtaining the target temperature of the target to be measured includes:

[0022] S31: Obtain the gray-scale outputs of the corresponding imaging pixel points on the detector and the gray-scale outputs of the non-sensitive pixel points of the target to be measured.

[0023] S32: Calculate the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points.

[0024] S33: Obtain the environmental temperature.

[0025] S34: Substitute the difference and the environmental temperature into the temperature measurement model to obtain the target temperature.

[0026] Further, calculating the true temperature according to the target temperature includes:

[0027] S41: Determine the emissivity according to the target to be measured;

[0028] S42: Determine the distance between the target to be measured and the detector;

[0029] S43: Obtain the ambient temperature, atmospheric humidity, and transmittance;

[0030] S44: Calculate the true temperature of the target according to the formula for the true temperature of the object surface.

[0031] Further, the formula for the true temperature of the object surface is:

[0032] T obj = f(ε, d, T env , φ, τ, T b ),

[0033] where T obj is the true temperature of the target, ε is the emissivity of the target, d is the distance between the target and the detector, T env is the obtained ambient temperature, φ represents the atmospheric humidity, τ represents the transmittance, and T b is the target temperature.

[0034] A device for improving the temperature measurement stability, comprising:

[0035] An acquisition module, configured to acquire the gray-scale output of the imaging pixel point corresponding to the target to be measured on the detector and the gray-scale output of the non-photosensitive pixel point;

[0036] A calculation module, configured to obtain the difference between the gray-scale output of the imaging pixel point and the gray-scale output of the non-photosensitive pixel point;

[0037] A temperature measurement module, configured to calculate the corresponding target temperature according to the difference between the gray-scale output of the imaging pixel point and the gray-scale output of the non-photosensitive pixel point;

[0038] A calibration module, which corrects the target temperature to obtain the true temperature.

[0039] A device for improving the temperature measurement stability, comprising a memory, a processor, and a program for improving the temperature measurement stability stored on the memory and executable on the processor, where the program for improving the temperature measurement stability is configured to implement the steps of the method for improving the temperature measurement stability as described above.

[0040] A storage medium, on which a program for improving the temperature measurement stability is stored, and when the program for improving the temperature measurement stability is executed by a processor, it implements the steps of the method for improving the temperature measurement stability as described above.

[0041] The beneficial effects of the present invention are as follows:

[0042] The present invention obtains the difference between the gray-scale output of the imaging pixel points on the detector and the non-photosensitive pixel points, constructs a mapping table based on the difference, the ambient temperature, and the blackbody temperature, constructs a temperature measurement model based on the mapping table, obtains the corresponding target temperature according to the temperature measurement model, corrects the target temperature, and obtains the true temperature; uses the non-photosensitive pixel points on the detector to filter out the noise caused by non-illumination factors in the detector output signal in real time, greatly improving the stability of the output temperature, while avoiding the smoothing delay caused by traditional software filtering, ensuring the real-time performance of the system while improving the output stability, and at the same time can alleviate the problem of inaccurate temperature measurement of the device when the environment changes suddenly to a certain extent, and improve the start-up stable time. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a schematic flowchart of the method of the present invention;

[0044] Figure 2 is a schematic diagram of the device framework of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components of the embodiments of the present invention described and illustrated herein can be arranged and designed in various different configurations.

[0046] Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0047] Embodiment 1

[0048] As Figure 1 shown, this embodiment provides a method for improving the stability of temperature measurement, and the method includes the following steps:

[0049] S1: Obtain the gray-scale outputs of the imaging pixel points of the detector corresponding to blackbodies at different temperatures and the gray-scale outputs of the non-photosensitive pixel points at each ambient temperature, and establish a mapping table of the blackbody temperature and the ambient temperature using the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-photosensitive pixel points;

[0050] S2: Construct a temperature measurement model according to the mapping table;

[0051] S3: Obtain the gray - level output of the imaging pixel points corresponding to the target to be measured on the detector and the gray - level output of the non - photosensitive pixel points, and calculate the corresponding target temperature through the temperature measurement model;

[0052] S4: Calibrate the target temperature to obtain the true temperature.

[0053] The principle of the present invention is as follows: The gray - level output f(t) of the imaging pixel points on the detector and the gray - level output f0(t) of the non - photosensitive pixel points are both functions of time t. The gray - level output of the imaging pixel points is positively correlated with the radiation amount it receives, and is also affected by environmental temperature, electronic circuit interference, etc. When the radiation amount received by the detector remains unchanged and the detector itself is in a relatively stable state, the output of the detector should remain unchanged. However, when it is affected by temperature, electronic circuit interference, etc., the output will change. Due to the consistency shown between the pixel points of the detector, when being interfered, the non - photosensitive pixel points will show a change characteristic similar to that of the photosensitive pixel points, but the change in the output of the non - photosensitive pixel points has nothing to do with the temperature change of the detected target. Therefore, this technology can filter out the influence brought by non - illumination factors in the detector output signal in real - time through the output change of the non - photosensitive pixel points, so as to ensure that the temperature calculation data is only related to the radiation amount received by the pixel points, and strip other interferences. Specifically, obtain the black - body radiation at different temperatures under different environmental temperatures, obtain the gray - level output f of the imaging pixel points, the gray - level output f0 of the non - photosensitive pixel points, and the environmental temperature T env and the black - body temperature T b , obtain the difference Δ between the gray - level output f of the imaging pixel points and the gray - level output f0 of the non - photosensitive pixel points. According to the difference Δ, environmental temperature T env and the black - body temperature T b build a mapping table. According to the mapping table of the difference Δ - environmental temperature T env - black - body temperature T b construct the temperature measurement model F. After the temperature measurement model F is constructed, when in use, obtain the gray - level output f(t0) of the imaging pixel points corresponding to the target to be measured on the detector at time t0 and the gray - level output f0(t0) of the non - photosensitive pixel points, and the environmental temperature T env , substitute f(t0)-f0(t0) = Δ0, T env into the temperature measurement model F to obtain the corresponding target temperature T b , calibrate the target temperature T b to obtain the true temperature T obj .

[0054] Embodiment 2

[0055] As Figure 1 shown, this embodiment provides a method for improving the temperature measurement stability, and the method includes the following steps:

[0056] S1: Obtain the gray-scale outputs of the imaging pixel points of the detector corresponding to blackbodies at different temperatures and the gray-scale outputs of the non-sensitive pixel points at each environmental temperature, and establish a mapping table of the blackbody temperature and the environmental temperature using the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points;

[0057] Specifically, the establishment of the mapping table includes:

[0058] S11: Record the blackbody temperature of the current blackbody;

[0059] S12: By changing the environmental temperature, obtain the gray-scale outputs of the imaging pixel points on the detector corresponding to the blackbody radiation and the gray-scale outputs of the non-sensitive pixel points at different environmental temperatures;

[0060] S13: Change and record the blackbody temperature of the blackbody, and repeat step S12;

[0061] S14: Obtain the gray-scale outputs of the imaging pixel points on the detector and the gray-scale outputs of the non-sensitive pixel points of blackbodies at different blackbody temperatures at different environmental temperatures, calculate the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points, and establish a mapping table according to the difference - blackbody temperature - environmental temperature.

[0062] S2: Construct a temperature measurement model according to the mapping table;

[0063] Specifically, use the fitting method to construct the functional relationship among the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points, the blackbody temperature, and the environmental temperature to obtain the temperature measurement model. It should be noted that the fitting method is a prior art and will not be elaborated here.

[0064] S3: Obtain the gray-scale outputs of the corresponding imaging pixel points on the detector and the gray-scale outputs of the non-sensitive pixel points of the target to be measured, and calculate the corresponding target temperature through the temperature measurement model.

[0065] Specifically, obtaining the target temperature of the target to be measured includes:

[0066] S31: Obtain the gray-scale outputs of the corresponding imaging pixel points on the detector and the gray-scale outputs of the non-sensitive pixel points of the target to be measured;

[0067] S32: Calculate the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-sensitive pixel points;

[0068] S33: Obtain the environmental temperature.

[0069] S34: Substitute the difference and the environmental temperature into the temperature measurement model to obtain the target temperature.

[0070] S4: Correct the target temperature to obtain the true temperature;

[0071] Specifically, calculating the true temperature based on the target temperature includes:

[0072] S41: Determine the emissivity according to the target to be measured;

[0073] S42: Determine the distance between the target to be measured and the detector;

[0074] S43: Obtain the ambient temperature, atmospheric humidity, and transmittance;

[0075] S44: Calculate the true temperature of the target according to the formula for the true temperature of the object surface;

[0076] Specifically, the formula for the true temperature of the object surface is:

[0077] T obj = f(ε, d, T env , φ, τ, T b ),

[0078] where T obj is the true temperature of the target, ε is the emissivity of the target, d is the distance between the target and the detector, T env is the obtained ambient temperature, φ represents the atmospheric humidity, τ represents the transmittance, and T b is the target temperature.

[0079] Embodiment 3

[0080] As Figure 1 shown, this embodiment provides a method for improving the temperature measurement stability. The method includes the following steps:

[0081] S1: Obtain the gray output of the imaging pixel points of the blackbody corresponding to different temperatures and the gray output of the non-sensitive pixel points of the detector at each ambient temperature, and establish a mapping table between the blackbody temperature and the ambient temperature using the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points;

[0082] The establishment of the mapping table includes:

[0083] S101: Record the current ambient temperature;

[0084] S102: By changing the blackbody temperature of the blackbody, obtain the gray output of the imaging pixel points on the detector corresponding to the blackbody radiation and the gray output of the non-sensitive pixel points;

[0085] S103: Change the ambient temperature and record it, and repeat step S102;

[0086] S104: Obtain the gray-scale outputs of the imaging pixel points and the non-light-sensitive pixel points of a blackbody with different blackbody temperatures at different ambient temperatures on the detector, calculate the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-light-sensitive pixel points, and establish a mapping table based on the difference - blackbody temperature - ambient temperature.

[0087] S2: Construct a temperature measurement model according to the mapping table;

[0088] Specifically, use the fitting method to construct the functional relationship among the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-light-sensitive pixel points, the blackbody temperature, and the ambient temperature, and obtain the temperature measurement model. It should be noted that the fitting method is a prior art and will not be elaborated here.

[0089] S3: Obtain the gray-scale outputs of the corresponding imaging pixel points and the non-light-sensitive pixel points of the target to be measured on the detector, and calculate the corresponding target temperature through the temperature measurement model.

[0090] Specifically, obtaining the target temperature of the target to be measured includes:

[0091] S31: Obtain the gray-scale outputs of the corresponding imaging pixel points and the non-light-sensitive pixel points of the target to be measured on the detector;

[0092] S32: Calculate the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-light-sensitive pixel points;

[0093] S33: Obtain the ambient temperature.

[0094] S34: Substitute the difference and the ambient temperature into the temperature measurement model to obtain the target temperature.

[0095] S4: Correct the target temperature to obtain the true temperature;

[0096] Specifically, calculating the true temperature according to the target temperature includes:

[0097] S41: Determine the emissivity according to the target to be measured;

[0098] S42: Determine the distance between the target to be measured and the detector;

[0099] S43: Obtain the ambient temperature, atmospheric humidity, and transmittance;

[0100] S44: Calculate the true temperature of the target according to the formula for the true temperature of the object surface;

[0101] Specifically, the formula for the true temperature of the object surface is:

[0102] T obj =f(ε,d,T env ,φ,τ,T b )

[0103] Where T obj is the target true temperature, ε is the target emissivity, d is the distance between the target and the detector, and T env is the acquired ambient temperature, φ represents the atmospheric humidity, τ represents the transmittance, and T b is the target temperature.

[0104] Example 4

[0105] As Figure 2 shown, this example provides a device for improving the temperature measurement stability, including:

[0106] An acquisition module, configured to acquire the gray output of the imaging pixel points corresponding to the target to be measured on the detector and the gray output of the non-sensitive pixel points;

[0107] A calculation module, configured to obtain the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points;

[0108] A temperature measurement module, configured to calculate the corresponding target temperature according to the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points;

[0109] A calibration module, which corrects the target temperature to obtain the true temperature.

[0110] In this example, the acquisition module acquires the gray output of the imaging pixel points corresponding to the target to be measured on the detector and the gray output of the non-sensitive pixel points, and sends the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points to the calculation module. The calculation module calculates the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points, and outputs the difference to the temperature measurement module. At the same time, the ambient temperature is acquired and input into the temperature measurement module. The temperature measurement module calculates the target temperature according to the difference and the ambient temperature. The emissivity of the target, the distance between the target and the detector, the atmospheric humidity, and the transmittance are acquired, and the target temperature, the ambient temperature, the emissivity of the target, the distance between the target and the detector, the atmospheric humidity, and the transmittance are input into the calibration module. The calibration module corrects the target temperature to obtain the true temperature.

[0111] Example 5

[0112] This example provides a device for improving the temperature measurement stability, including a memory, a processor, and a program for improving the temperature measurement stability stored on the memory and executable on the processor. The program for improving the temperature measurement stability is configured to implement the steps of the method for improving the temperature measurement stability as described above.

[0113] In this embodiment, the device may include: a processor, such as a Central Processing Unit (CPU), a communication bus, a user interface, a network interface, and a memory. Among them, the communication bus is used to realize the connection and communication between these components. The user interface may include a display screen (Display) and an input unit such as a keyboard (Keyboard). The user interface may also include a standard wired interface and a wireless interface. The network interface may optionally include a standard wired interface and a wireless interface (such as a Wireless-Fidelity (WI-FI) interface). The memory may be a high-speed Random Access Memory (RAM) or a stable non-volatile memory (Non Volatile Memory, NVM), such as a disk memory. The memory may also be a storage device independent of the aforementioned processor.

[0114] As a storage medium, this embodiment also provides a storage medium on which a program for improving temperature measurement stability is stored. When the program for improving temperature measurement stability is executed by the processor, the steps of the method for improving temperature measurement stability as described above are implemented.

Claims

1. A method for improving temperature measurement stability, characterized in that, The method includes the following steps: S1: Obtain the gray output of the imaging pixel points of the detector corresponding to blackbodies at different temperatures and the gray output of the non-sensitive pixel points at each environmental temperature, and establish a mapping table of the blackbody temperature and the environmental temperature using the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points; S2: Construct a temperature measurement model according to the mapping table; S3: Obtain the gray output of the imaging pixel points corresponding to the target to be measured on the detector and the gray output of the non-sensitive pixel points, and calculate the corresponding target temperature through the temperature measurement model; S4: Correct the target temperature to obtain the true temperature.

2. The method for improving temperature measurement stability according to claim 1, wherein The establishment of the mapping table includes: S11: Record the blackbody temperature of the current blackbody; S12: By changing the environmental temperature, obtain the gray output of the imaging pixel points on the detector corresponding to the blackbody radiation and the gray output of the non-sensitive pixel points; S13: Change the blackbody temperature of the blackbody and record it, and repeat step S12; S14: Obtain the gray output of the imaging pixel points on the detector and the gray output of the non-sensitive pixel points of the blackbodies at different blackbody temperatures under different environmental temperatures, calculate the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points, and establish a mapping table according to the difference - blackbody temperature - environmental temperature.

3. A method for improving the temperature measurement stability according to claim 1, characterized in that, The establishment of the mapping table includes: S101: Record the current environmental temperature; S102: By changing the blackbody temperature of the blackbody, obtain the gray output of the imaging pixel points on the detector corresponding to the blackbody radiation and the gray output of the non-sensitive pixel points; S103: Change the environmental temperature and record it, and repeat step S102; S104: Obtain the gray output of the imaging pixel points on the detector and the gray output of the non-sensitive pixel points of the blackbodies at different blackbody temperatures under different environmental temperatures, calculate the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points, and establish a mapping table according to the difference - blackbody temperature - environmental temperature.

4. A method for improving temperature measurement stability according to claim 1, characterized in that Use the fitting method to construct the functional relationship between the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points, the blackbody temperature, and the environmental temperature to obtain the temperature measurement model.

5. A method for improving temperature measurement stability according to claim 1, characterized in that, Obtaining the target temperature of the target to be measured includes: S31: Obtain the gray output of the imaging pixel points corresponding to the target to be measured on the detector and the gray output of the non-sensitive pixel points; S32: Calculate the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points; S33: Obtain the environmental temperature; S34: Substitute the difference and the environmental temperature into the temperature measurement model to obtain the target temperature.

6. A method for improving temperature measurement stability according to claim 1, characterized in that, Calculating the true temperature according to the target temperature includes: S41: Determine the emissivity according to the target to be measured; S42: Determine the distance between the target to be measured and the detector; S43: Obtain the environmental temperature, atmospheric humidity, and transmittance; S44: Calculate the true temperature of the target according to the formula for calculating the true temperature of the object surface.

7. A method for improving temperature measurement stability according to claim 6, characterized in that The formula for calculating the true temperature of the object surface is: T obj = f(ε, d, T env , φ, τ, T b ), where T obj is the target true temperature, ε is the target emissivity, d is the distance between the target and the detector, T env is the acquired ambient temperature, φ represents the atmospheric humidity, τ represents the transmittance, T b is the target temperature.

8. A device for improving the temperature measurement stability, characterized in that, including: An acquisition module for acquiring the gray output of the imaging pixel points corresponding to the target to be measured on the detector and the gray output of the non-sensitive pixel points; A calculation module for obtaining the difference between the gray output of the imaging pixel points and the gray output of the non-sensitive pixel points; A temperature measurement module, which is used to calculate the corresponding target temperature according to the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-light-sensitive pixel points; A calibration module, which corrects the target temperature to obtain the true temperature; The temperature measurement module establishes a mapping table with the blackbody temperature and the ambient temperature by using the difference between the gray-scale output of the imaging pixel points and the gray-scale output of the non-light-sensitive pixel points; and constructs a temperature measurement model according to the mapping table.

9. An apparatus for improving temperature measurement stability, characterized in that, It includes a memory, a processor, and a program for improving temperature measurement stability stored on the memory and executable on the processor. The program for improving temperature measurement stability is configured to implement the steps of the method for improving temperature measurement stability described in any one of claims 1-7.

10. A storage medium, characterized in that, A program for improving temperature measurement stability is stored on the storage medium. When the program for improving temperature measurement stability is executed by the processor, it implements the steps of the method for improving temperature measurement stability described in any one of claims 1-7.

Images