Temperature detection method and device, electromagnetic heating equipment and storage medium

Abstract

The application discloses a temperature detection method and device, an electromagnetic heating device and a storage medium. The method comprises the following steps: acquiring a temperature signal strength and a color signal strength detected by a detection module; determining a target color parameter according to the color signal strength; and determining a detection temperature according to the target color parameter and the temperature signal strength. The application determines the target color parameter of the cooking utensil according to the color signal strength, and determines the temperature of the cooking utensil according to the temperature signal strength and the target color parameter, so that the temperature of the cooking utensil with different colors can be accurately measured, and the temperature measurement precision is improved.

Description

Technical Field

[0001] This application relates to the field of temperature detection technology, and more specifically, to a temperature detection method, apparatus, electromagnetic heating device, and storage medium. Background Technology

[0002] Electromagnetic heating equipment is a device that uses a coil to generate an alternating electromagnetic field to heat cooking utensils. During the heating process of electromagnetic heating equipment, a detection module can be used to detect the temperature of the cooking utensils.

[0003] In actual testing, the color of cooking utensils can affect the temperature measurement results, leading to errors in temperature measurement. Summary of the Invention

[0004] In view of the above problems, the present invention proposes a temperature detection method, device, electromagnetic heating equipment and storage medium to improve the above problems.

[0005] In a first aspect, embodiments of this application provide a temperature detection method applied to an electromagnetic heating device, the electromagnetic heating device including a detection module, the method including: acquiring the temperature signal intensity and color signal intensity detected by the detection module; determining a target color parameter based on the color signal intensity; and determining the detection temperature based on the target color parameter and the temperature signal intensity.

[0006] Secondly, embodiments of this application also provide a temperature detection device applied to an electromagnetic heating device. The electromagnetic heating device includes a detection module, and the device includes: an acquisition unit for acquiring the temperature signal intensity and color signal intensity detected by the detection module; a color determination unit for determining a target color parameter based on the color signal intensity; and a temperature determination unit for determining the detection temperature based on the target color parameter and the temperature signal intensity.

[0007] Thirdly, embodiments of this application also provide another electromagnetic heating device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the temperature detection method as described in the first aspect.

[0008] Fourthly, embodiments of this application also provide a computer-readable storage medium storing computer-executable instructions for enabling an electromagnetic heating device to perform the temperature detection method as described in the first aspect.

[0009] This application provides a temperature detection method, apparatus, electromagnetic heating device, and storage medium. The method includes: acquiring the temperature signal intensity and color signal intensity detected by a detection module; determining a target color parameter based on the color signal intensity; and determining the detected temperature based on the target color parameter and the temperature signal intensity. This application determines the target color parameter of the cooking appliance by using the color signal intensity, and determines the temperature of the cooking appliance based on the temperature signal intensity and the target color parameter, enabling accurate temperature measurement of cooking appliances of different colors and improving temperature measurement accuracy. Attached Figure Description

[0010] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments and drawings obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0011] Figure 1 This is a schematic diagram illustrating an application scenario of a temperature detection method provided in an embodiment of the present invention.

[0012] Figure 2 This is a schematic flowchart of a temperature detection method provided in an embodiment of the present invention.

[0013] Figure 3 yes Figure 2 A detailed flowchart of step 210 in the diagram.

[0014] Figure 4 yes Figure 2 A further detailed flowchart of step 210 in the diagram.

[0015] Figure 5 This is a schematic diagram of the distribution of a preset intensity range of a reference color provided in an embodiment of the present invention.

[0016] Figure 6 yes Figure 2 A detailed flowchart of step 230 in the diagram.

[0017] Figure 7 This is a schematic diagram of the temperature difference in a temperature detection method provided in an embodiment of the present invention.

[0018] Figure 8 A schematic diagram of the structure of a temperature detection device provided in an embodiment of the present invention.

[0019] Figure 9 A schematic diagram of the structure of an electromagnetic heating device provided in an embodiment of the present invention.

[0020] Figure 10A structural block diagram of a computer-readable storage medium provided in an embodiment of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] Electromagnetic heating equipment is a device that uses a coil to generate an alternating electromagnetic field to heat cooking utensils. During the heating process of electromagnetic heating equipment, the temperature of cooking utensils can be detected using non-contact temperature measurement methods (such as infrared temperature measurement).

[0023] However, when using non-contact methods such as infrared thermometry to detect temperature, the temperature of the cooking appliance is inferred from the signal intensity radiated by the cooking appliance. However, cooking appliances of different colors have different reflectivities, meaning that cooking appliances of different colors correspond to different temperatures when the radiation signal intensity is the same. Therefore, temperature measurement will produce measurement errors due to the different colors of the cooking appliances.

[0024] To address the aforementioned problems, the inventors have proposed a temperature detection method, apparatus, electromagnetic heating device, and storage medium as described in this application. The temperature detection method is applied to an electromagnetic heating device, which includes a detection module. The method includes: acquiring the temperature signal intensity and color signal intensity detected by the detection module; determining a target color parameter based on the color signal intensity; and determining the detection temperature based on the target color parameter and the temperature signal intensity. This application determines the target color parameter of the cooking appliance by measuring the color signal intensity, and determines the temperature of the cooking appliance based on the temperature signal intensity and the target color parameter. This allows for precise temperature measurement of cooking appliances of different colors, improving measurement accuracy.

[0025] Please see Figure 1 , Figure 1 This is a schematic diagram illustrating an application scenario of a temperature detection method provided in an embodiment of the present invention. The method is applied to an electromagnetic heating device 100, which includes a device body 140 and a detection module 110 disposed on the device body. The electromagnetic heating device 100 can heat a cooking appliance 200 placed on the device body, and the detection module 110 can be used to detect the temperature and color of the cooking appliance 200.

[0026] In some embodiments, the electromagnetic heating device 100 further includes a panel 120 disposed on the device body, on which the cooking utensil 200 can be placed. Optionally, the panel 120 may include a glass panel, a ceramic panel, or a microcrystalline panel, etc.

[0027] In some embodiments, the electromagnetic heating device 100 further includes a heating module 130, which is disposed on the device body. Optionally, the heating module 130 may be a heating coil.

[0028] In some embodiments, the detection module 110 includes a first color detection unit 111 and a second color detection unit 112. The first color detection unit 111 is used to emit a first color detection signal, and the second color detection unit 112 is used to receive a second color detection signal obtained by reflecting the first color detection signal through the cooking appliance 200. The second color detection signal can be used to determine the color of the cooking appliance 200, which will be elaborated in the following embodiments.

[0029] Optionally, the first color detection unit 111 and / or the second color detection unit 112 may be infrared phototubes.

[0030] In some embodiments, the detection module 110 further includes a first temperature detection unit 113, which receives a first temperature detection signal radiated by the cooking appliance 200. This first temperature detection signal reaches the temperature detection module 110 after passing through the panel 120. Due to interference from the panel, the signal strength of the first temperature detection signal measured by the detection module 110 cannot be directly used to determine the temperature of the cooking appliance. To improve the accuracy of temperature detection, the detection module 110 further includes a second temperature detection unit 114. The second temperature detection unit 114 receives a second temperature detection signal radiated by the panel 120. Therefore, based on the first and second temperature detection signals, the temperature signal strength of the actual radiated signal from the cooking appliance can be determined for temperature determination. This will be further elaborated in later embodiments.

[0031] The signal strength of the first temperature detection signal includes the signal strength of the mid-wavelength infrared signal radiated by the cooking appliance 200 and the signal strength of the second temperature detection signal radiated by the panel 120. Therefore, in some embodiments, the temperature signal strength of the signal radiated by the cooking appliance can be obtained by subtracting the signal strength of the second temperature detection signal from the signal strength of the first temperature detection signal, thereby more accurately determining the temperature of the cooking appliance.

[0032] Optionally, the first temperature detection unit 113 and / or the second temperature detection unit 114 may be infrared phototubes.

[0033] It should be noted that, Figure 1 This is merely an illustrative representation of one possible structure for the electromagnetic heating device; other structures are also possible to implement the invention, such as a panel with an open structure or the electromagnetic heating device having other components. When the panel has an open structure, if the detection module 110 can directly receive the signal intensity of the infrared signal radiated by the cooking appliance 200 through the open structure of the panel, then only one temperature detection unit is needed.

[0034] Please refer to the following: Figure 2 , Figure 2 This is a schematic flowchart of a temperature detection method provided in an embodiment of the present invention. Figure 2 As shown, the temperature detection method can be applied to the electromagnetic heating device mentioned above. The electromagnetic heating device includes a detection module, and the method includes steps 210 to 230.

[0035] Step 210: Obtain the temperature signal intensity and color signal intensity detected by the detection module.

[0036] Specifically, the temperature signal intensity is used to determine the temperature of the cooking appliance, and the color signal intensity is used to determine the target color parameters.

[0037] In some implementations, please refer to [further details]. Figure 3 , Figure 3 yes Figure 2 A detailed flowchart of step 210 is shown below. Figure 3 As shown, the detection module includes a first temperature detection unit and a second temperature detection unit. Step 210 involves obtaining the intensity of the temperature signal detected by the detection module, including steps 211 to 212.

[0038] Step 211: Obtain the first temperature detection signal detected by the first temperature detection unit and the second temperature detection signal detected by the second temperature detection unit.

[0039] Specifically, the first temperature detection unit is used to receive a first temperature detection signal radiated by the cooking appliance, and the second temperature detection unit is used to receive a second temperature detection signal radiated by the panel.

[0040] In some embodiments, both the first temperature detection signal and the second temperature detection signal are infrared signals, but the wavelengths of the first temperature detection signal and the second temperature detection signal are different, that is, the wavelengths of the infrared signals received by the first temperature detection unit and the second temperature detection unit are different.

[0041] In some embodiments, the first temperature detection unit is used to receive a mid-wavelength infrared signal. The mid-wavelength infrared signal can penetrate the panel and be received by the first temperature detection unit. However, because it penetrates the panel, the signal strength of the first temperature detection signal includes the signal strength of the mid-wavelength infrared signal radiated by the cooking appliance and the signal strength of the mid-wavelength infrared signal radiated by the panel.

[0042] Optionally, the wavelength of the infrared signal received by the first temperature detection module is in the range of [3μm, 5μm], and further, the wavelength of the infrared signal received by the first temperature detection module is preferably [3.5μm, 4.1μm].

[0043] In some implementations, the second temperature detection unit is used to receive a long-wavelength infrared signal, i.e., a second temperature detection signal, where the signal strength of the second temperature detection signal is the same as the signal strength of the long-wavelength infrared signal radiated by the panel.

[0044] Optionally, the wavelength of the infrared signal received by the second temperature detection module is in the range of [5μm, 14μm].

[0045] Step 212: Determine the temperature signal intensity based on the first temperature detection signal and the second temperature detection signal.

[0046] To more accurately determine the signal intensity of the mid-wavelength infrared signal emitted by the cooking appliance, the influence of the mid-wavelength infrared signal emitted by the panel in the first temperature detection signal can be removed by combining the second temperature detection signal.

[0047] In some implementations, the temperature signal strength can be determined according to preset calculation rules.

[0048] Optionally, the intensity of the long-wavelength infrared signal radiated by the panel can be approximated as the intensity of the medium-wavelength infrared signal radiated by the panel, then the temperature signal intensity is the signal intensity of the first temperature detection signal minus the signal intensity of the second temperature detection signal.

[0049] Optionally, the intensity of the medium-wavelength infrared signal radiated by the panel can be determined based on the correspondence between the intensity of the long-wavelength infrared signal radiated by the panel and the intensity of the medium-wavelength infrared signal radiated by the panel. For example, if the intensity of the medium-wavelength infrared signal radiated by the panel is a preset proportion of the intensity of the long-wavelength infrared signal radiated by the panel, then the temperature signal intensity is the signal intensity of the first temperature detection signal minus the signal intensity of the second temperature detection signal at a preset proportion.

[0050] In some implementations, please refer to [further details]. Figure 4 , Figure 4 yes Figure 2 A further detailed flowchart of step 210 in the diagram. For example... Figure 4As shown, the detection module includes a first color detection unit and a second color detection unit. Then, in step 210, the color signal intensity detected by the detection module is obtained, including steps 213 to 214.

[0051] Step 213: Control the first color detection unit to emit a first color detection signal and acquire the second color detection signal received by the second color detection unit, wherein the second color detection signal is obtained by reflecting the first color detection signal.

[0052] Specifically, the first color detection unit emits a first color detection signal to detect the color of the cooking appliance. After the first color detection signal shines on the cooking appliance, it is reflected by the appliance to generate a second color detection signal. The second color detection signal is received by the second color detection unit, and the intensity of the second color detection signal varies depending on the color of the cooking appliance. Optionally, the first color detection signal is an infrared signal.

[0053] Furthermore, when the first color detection signal is an infrared signal, if the wavelength of the first color detection signal is too large, it may affect the intensity of the temperature signal detected by the detection module, for example, causing the intensity of the detected temperature signal to be too large, resulting in temperature detection errors and affecting the accuracy of temperature detection. Therefore, in some embodiments, in order to avoid affecting temperature detection, the wavelength of the first color detection signal can be (0, 2.0 μm], preferably 940 nm (nanometer).

[0054] Step 214: Determine the color signal intensity based on the second color detection signal.

[0055] Specifically, the signal strength of the second color detection signal is the color signal strength.

[0056] Step 220: Determine the target color parameters based on the color signal intensity.

[0057] To reduce interference from cooking utensils of different colors on temperature detection, the target color parameter can be used to determine the detection temperature. The target color parameter will be different for cooking utensils of different colors when determining the detection temperature.

[0058] In some implementations, step 220 may include the following steps.

[0059] (1) Determine the target color based on the color signal intensity.

[0060] In some implementations, the target color is determined based on the color signal intensity, including the following steps.

[0061] (1.1) Obtain the preset intensity range corresponding to the reference color; wherein, there are multiple reference colors; the preset intensity ranges corresponding to different reference colors do not overlap.

[0062] (1.2) Within the preset intensity range corresponding to the reference color, determine the preset intensity range where the color signal intensity is located as the target intensity range.

[0063] (1.3) Use the base color corresponding to the target intensity range as the target color.

[0064] There are multiple base colors; the preset intensity ranges corresponding to different base colors do not overlap. A base color is a color, such as white or black.

[0065] In some implementations, the preset intensity range corresponding to the reference color can be determined based on the reference signal intensity corresponding to the reference color.

[0066] Optionally, the preset intensity range corresponding to the reference color can be: a*k~b*k; where a represents the first intensity coefficient, b represents the second intensity coefficient, and k represents the reference signal intensity; where a<b.

[0067] Optionally, the value of the first strength coefficient is 0.6 to 0.8, and preferably, the value of the first strength coefficient is 0.7.

[0068] Optionally, the value of the second strength coefficient is 1.2 to 1.4, and preferably, the value of the second strength coefficient is 1.3.

[0069] In some implementations, a preset intensity range in which the color signal intensity is located is used as the target preset intensity range, thereby determining the reference color corresponding to the target intensity range as the target color.

[0070] In some implementations, the temperature detection method further includes the following steps.

[0071] (1.4) When the color signal intensity is not within the preset intensity range corresponding to all reference colors, determine the reference difference between the color signal intensity and the reference signal intensity corresponding to each reference color.

[0072] Each reference color corresponds to a reference signal intensity; the reference signal intensity corresponding to a reference color is within a preset intensity range corresponding to the reference color. Optionally, the reference difference is the absolute value of the difference between the color signal intensity and the reference signal intensity.

[0073] (1.5) Determine the target color based on all baseline differences.

[0074] Specifically, the smaller the reference difference, the closer the target color is to the reference color corresponding to the reference signal intensity. The smallest reference difference among all reference differences is determined as the target reference difference. The reference color corresponding to the target reference difference is taken as the target color. Thus, the reference color with the smallest reference difference from the color signal intensity is determined as the target color. It can be understood that all reference differences are greater than or equal to 0.

[0075] In one embodiment of the present invention, please refer to Figure 5 , Figure 5 This is a schematic diagram illustrating the distribution of a preset intensity range for a reference color, provided in an embodiment of the present invention. For example... Figure 5 As shown, Figure 5 The preset intensity ranges for the base colors black and silver are shown in the image.

[0076] In the embodiments of this application, the first reference signal strength corresponding to black is 800, and the first preset strength range is preferably [560, 1200]; the second reference signal strength corresponding to silver is 2400, and the second preset strength range is preferably [1680, 3000]. It is understood that the above reference signal strength and preset strength range are an example provided by the embodiments of this application. In other embodiments, they can be adjusted according to actual detection needs, and this application does not limit them.

[0077] Therefore, when the color signal intensity falls within the first preset intensity range, the target color is determined to be black, and when the color signal intensity falls within the second preset intensity range, the target color is determined to be silver.

[0078] When the color signal intensity falls within the range of (1200, 1680), assuming the color signal intensity is 1500, the first reference difference between the color signal intensity and the reference signal intensity corresponding to black (800 in this embodiment) is calculated, and the first reference difference is 700. The second reference difference between the color signal intensity and the reference signal intensity corresponding to silver (2400 in this embodiment) is calculated, and the second reference difference is 900. Since the first reference difference is less than the second reference difference, it is determined that the target color is closer to black, so the target color is determined to be black.

[0079] It should be noted that when the color signal intensity falls within the range of (1200, 1680), it indicates that the color of the cooking appliance may not be black or silver. However, it is also possible that the color of the cooking appliance is silver, but the color signal intensity of the reflected second color detection signal has decreased due to rust or other reasons. Therefore, this application improves the accuracy of color recognition when the cooking appliance is rusty by reserving a signal intensity range between the two reference colors and determining the color of the cooking appliance based on the absolute value of the difference.

[0080] In some implementations, if the calculated differences are equal, the color of the cooking utensil can be determined as any color corresponding to the equal difference.

[0081] In other embodiments, determining the target color based on the color signal intensity may include the following steps.

[0082] (1.1) Obtain the reference signal intensity corresponding to the reference color; wherein, there are multiple reference colors; each reference color corresponds to a reference signal intensity;

[0083] (1.2) Determine the reference difference between the color signal intensity and the reference signal intensity corresponding to each reference color;

[0084] (1.3) Determine the target color based on all baseline differences.

[0085] Specifically, the target color is no longer determined based on the target intensity range, but rather based on the reference difference between the color signal intensity and the reference signal intensity corresponding to each reference color. The specific steps can be found in the above embodiments and will not be repeated here.

[0086] In some implementations, step 220 may include the following steps.

[0087] (2.1) Obtain the reference signal intensity corresponding to the reference color; wherein, there are multiple reference colors; each reference color corresponds to a reference signal intensity;

[0088] (2.2) Determine the reference difference between the color signal intensity and the reference signal intensity of each reference color;

[0089] (2.3) Determine the total benchmark difference based on all benchmark differences;

[0090] (2.4) Determine the color probability corresponding to each reference color based on the reference difference value corresponding to each reference color and the total reference difference value;

[0091] (2.5) Determine the target color parameters based on the color probabilities corresponding to all reference colors.

[0092] The specific steps of steps (2.1) to (2.2) can be found in the above embodiments and will not be repeated here.

[0093] In some implementations, the total reference difference is the sum of all reference differences, and the formula for calculating the color probability corresponding to each reference color is:

[0094] The probability of a color corresponding to each base color = the base difference of that base color / the sum of the base differences of all base colors.

[0095] In other implementations, the total reference difference is the sum of the reciprocals of all reference differences, and the formula for calculating the color probability corresponding to each reference color is:

[0096] The probability of a color corresponding to each base color = the reciprocal of the base difference of that base color / the sum of the reciprocals of the base differences of each base color.

[0097] In some implementations, the target color parameter is determined based on the color probabilities corresponding to all reference colors, including:

[0098] The target color parameters are determined based on the color probabilities corresponding to all base colors and preset correction coefficients.

[0099] Specifically, the target color parameters include the first to seventh sub-parameters. The first sub-parameter in the target color parameters = correction coefficient * [the first sub-parameter of the color parameters corresponding to base color 1 * the color probability corresponding to that base color + the first sub-parameter of the color parameters corresponding to base color 2 * the color probability corresponding to that base color + ... + the first sub-parameter of the color parameters corresponding to base color n * the color probability corresponding to that base color]. The formulas for the second to seventh sub-parameters follow the same pattern, and the specific steps will be explained in the following embodiments.

[0100] In one embodiment of the present invention, the reference colors are black and silver. The reference signal intensity corresponding to black is 800, the reference signal intensity corresponding to silver is 2400, and the color signal intensity is 1400. The reference difference between the color signal intensity and the reference signal intensity corresponding to black is 600, and the reference difference between the color signal intensity and the reference signal intensity corresponding to silver is 1000. If the probability of a color corresponding to a reference color = the reference difference of that reference color / the sum of the reference differences of all reference colors, then the probability that the cooking utensil is black is 600 / (600+1000) = 0.375, and the probability that the cooking utensil is silver is 1000 / (600+1000) = 0.625.

[0101] In another embodiment of the present invention, the reference colors are black and silver. The reference signal intensity corresponding to black is 800, the reference signal intensity corresponding to silver is 2400, and the color signal intensity is 2000. Therefore, the reference difference between the color signal intensity and the reference signal intensity corresponding to black is 1200, and the reference difference between the color signal intensity and the reference signal intensity corresponding to silver is 400. If the probability of a color corresponding to a reference color is equal to the reciprocal of the reference difference of that reference color / the sum of the reciprocals of the reference differences of all reference colors, then the probability that the cooking utensil is black is (1 / 1200) / (1 / 1200+1 / 400) = 0.25, and the probability that the cooking utensil is silver is (1 / 400) / (1 / 1200+1 / 400) = 0.75.

[0102] Step 230: Determine the detection temperature based on the target color parameters and the temperature signal intensity.

[0103] In some implementations, the target color parameter includes a first sub-parameter, a second sub-parameter, a third sub-parameter, a fourth sub-parameter, a fifth sub-parameter, a sixth sub-parameter, and a seventh sub-parameter;

[0104] The detection temperature is determined based on the target color parameters and the temperature signal intensity, including:

[0105] Based on the first, second, third, fourth, fifth, sixth, and seventh sub-parameters, and the temperature signal intensity, the detected temperature is determined using the following formula:

[0106] T = Ax 6 +Bx 5 +Cx 4 +Dx 3 +Ex 2 +Fx+G;

[0107] Where T represents the detection temperature; A represents the first sub-parameter; B represents the second sub-parameter; C represents the third sub-parameter; D represents the fourth sub-parameter; E represents the fifth sub-parameter; F represents the sixth sub-parameter; G represents the second sub-parameter; and x represents the temperature signal intensity.

[0108] In some implementations, the color parameter of the target color, i.e., the reference color, is used as the target color parameter, so the color parameter corresponding to the reference color can be preset. It should be noted that when the unit of T is different (e.g., ℃ and ℉), the corresponding color parameter AG of the same reference color will also be different.

[0109] In some implementations, assuming there are a total of n reference colors, if the target color parameter is determined based on the color probabilities corresponding to all reference colors and a preset correction coefficient, then the color parameters corresponding to the reference colors given in the above embodiments need to be used. In this case, the first sub-parameter of the target color parameter = correction coefficient * (color probability corresponding to reference color 1 * first sub-parameter of the color parameter corresponding to reference color 1 + color probability corresponding to reference color 2 * first sub-parameter of the color parameter corresponding to reference color 2 + ... + color probability corresponding to reference color n * first sub-parameter of the color parameter corresponding to reference color n), and the remaining sub-parameters follow the same logic.

[0110] For example, if the base colors are black and silver, and the probability of black is k1, and the probability of silver is k2, then the first sub-parameter A in the target color parameters determined by the target parameters is A = βk1A1 + βk1A2, the first sub-parameter B in the target color parameters is B = βk1B1 + βk1B2, and so on. The formula for determining the detection temperature can then be expressed as T = β[k1 * temperature measurement formula for black + k2 * temperature measurement formula for silver] = β[k1(A1x...] 6 +B1x 5 +C1x 4 +D1x 3 +E1x 2 +F1x+G1)+k2(A2x 6 +B2x 5 +C2x 4 +D2x 3 +E2x 2 +F2x+G2)], where A1-G1 are the first to seventh sub-parameters of the color parameters corresponding to black, A2-G2 are the first to seventh sub-parameters of the color parameters corresponding to silver, and x is the temperature signal intensity.

[0111] The detection temperature is determined by the probability of the color corresponding to the reference color. This method can comprehensively consider the probability that the color of the cooking appliance belongs to various reference colors, and calculate the temperature of the cooking appliance more accurately based on the color parameters corresponding to each reference color, thereby improving the temperature measurement accuracy.

[0112] In some implementations, when there are many reference colors, the color ratio parameters can be filtered, and the fitted temperature measurement formula can be determined based on the filtered color ratio parameters. If the probability of the cooking utensil's color belonging to each reference color is to be considered, the computational workload is large. In this case, colors with lower probabilities can be excluded based on a first threshold to reduce computational steps and improve computational efficiency. For example, reference colors with a probability value less than or equal to the first threshold can be excluded. Optionally, the first threshold is 0.01.

[0113] Please refer to the following: Figure 6 , Figure 6 yes Figure 2 A detailed flowchart of step 230 is shown below. Figure 6 As shown,

[0114] Step 230 includes steps 231 to 235.

[0115] Step 231: When the electromagnetic heating device is in the preset function, determine the boiling temperature.

[0116] Specifically, the preset function is that the electromagnetic heating device will boil water, such as a water boiling function or a hot pot function.

[0117] In some embodiments, by real-time monitoring of the temperature curve of the cooking appliance, and utilizing the principle that the temperature remains constant when water boils, the temperature value at which the water boils is recorded and stored when the temperature curve is above a certain temperature threshold and remains stable. Optionally, the temperature threshold can be set to 70°C; this application does not limit the value of the temperature threshold.

[0118] Step 232: Based on the boiling temperature, determine the temperature difference between the boiling temperature and the initial boiling temperature, wherein the initial boiling temperature is the boiling temperature determined when the electromagnetic heating device is first in the preset function.

[0119] Step 233: When the boiling temperature meets the preset conditions, determine the calibration parameters based on the boiling temperature and the temperature difference.

[0120] Specifically, as the electromagnetic heating equipment is used for longer periods, the temperature sensor used for temperature detection will age, resulting in a decrease in temperature measurement accuracy. At this time, the temperature of the cooking appliance can be calibrated when preset conditions are met.

[0121] In some implementations, when the temperature difference meets preset conditions, calibration parameters are determined based on the boiling temperature and the temperature difference, including:

[0122] When the temperature difference exceeds a preset threshold, calibration parameters are determined based on the temperature difference and the initial boiling temperature. Optionally, the preset threshold is preferably 5°C.

[0123] In some implementations, the calibration parameter is equal to the temperature difference divided by the boiling temperature. It should be noted that the boiling temperature is the most recently measured boiling temperature that meets the preset conditions.

[0124] Step 234: Determine the temperature to be calibrated based on the target color parameters and the temperature signal intensity.

[0125] The specific steps have been described in the previous embodiments and will not be repeated here.

[0126] Step 235: Determine the detection temperature based on the temperature to be calibrated and the calibration parameters.

[0127] In some implementations, the detection temperature = temperature to be calibrated + calibration parameter * temperature to be calibrated.

[0128] Please refer to the following: Figure 7 , Figure 7 This is a schematic diagram of the temperature difference in a temperature detection method provided by an embodiment of the present invention. Figure 7 As shown, the temperature difference is the initial boiling temperature minus the boiling temperature.

[0129] Specifically, when the temperature difference is greater than the preset threshold, it is determined that temperature calibration is required. The initial boiling temperature is defined as T0 and the boiling temperature is defined as T1. The temperature difference is the temperature drop during boiling, ΔT = T0 - T1. The calibration parameter is the temperature drop per unit temperature, a = ΔT / T1. Then, the detected temperature T2 = a*T1 + T1.

[0130] In some implementations, if the temperature difference between multiple boiling temperatures and the initial boiling temperature is greater than a first threshold, the boiling temperature with the largest temperature difference from the initial boiling temperature can be selected for calculating the calibration parameters.

[0131] By detecting whether the temperature difference between the boiling temperature and the initial boiling temperature of water exceeds a preset threshold, it can be determined whether the temperature measurement module has reduced accuracy due to aging or other reasons. Furthermore, calibration parameters are calculated based on the temperature difference and the boiling temperature, and the temperature measured by the detection module afterward is calibrated according to the calibration parameters to improve the accuracy of temperature measurement.

[0132] Please refer to the following: Figure 8 , Figure 8 This is a schematic diagram of the structure of a temperature detection device provided in an embodiment of the present invention. Figure 8 As shown, the temperature detection device is applied to an electromagnetic heating device, which includes a detection module. The device includes an acquisition unit 310, a color determination unit 320, and a temperature determination unit 330.

[0133] The acquisition unit 310 is used to acquire the intensity of the temperature signal and the intensity of the color signal detected by the detection module.

[0134] Color determination unit 320 is used to determine target color parameters based on color signal intensity.

[0135] Temperature determination unit 330 is used to determine the detection temperature based on the target color parameters and the intensity of the temperature signal.

[0136] In some embodiments, the detection module includes a first temperature detection unit and a second temperature detection unit, and the acquisition unit 310 is specifically used to: acquire a first temperature detection signal detected by the first temperature detection unit and a second temperature detection signal detected by the second temperature detection unit; and determine the temperature signal intensity based on the first temperature detection signal and the second temperature detection signal.

[0137] In some embodiments, the detection module includes a first color detection unit and a second color detection unit, and the acquisition unit 310 is specifically used to: control the first color detection unit to emit a first color detection signal, acquire the second color detection signal received by the second color detection unit, wherein the second color detection signal is obtained by reflecting the first color detection signal; and determine the color signal intensity based on the second color detection signal.

[0138] In some implementations, the color determination unit 320 is specifically used to: determine the target color based on the color signal intensity; and use the color parameter corresponding to the target color as the target color parameter.

[0139] In some embodiments, the color determination unit 320 is further configured to: obtain a preset intensity range corresponding to a reference color; wherein there are multiple reference colors; the preset intensity ranges corresponding to different reference colors do not overlap; within the preset intensity ranges corresponding to the reference colors, determine the preset intensity range where the color signal intensity is located as the target intensity range; and use the reference color corresponding to the target intensity range as the target color.

[0140] In some embodiments, the color determination unit 320 is further configured to: determine a reference difference between the color signal intensity and the reference signal intensity corresponding to each reference color when the color signal intensity is not within a preset intensity range corresponding to all reference colors; wherein each reference color corresponds to a reference signal intensity; the reference signal intensity corresponding to the reference color is within a preset intensity range corresponding to the reference color; and determine the target color based on all reference differences.

[0141] In some embodiments, the color determination unit 320 is specifically used to: acquire the reference signal intensity corresponding to the reference color; wherein, there are multiple reference colors; each reference color corresponds to a reference signal intensity; determine the reference difference between the color signal intensity and the reference signal intensity corresponding to each reference color; and determine the target color based on all reference differences.

[0142] In some embodiments, the color determination unit 320 is specifically used to: acquire the reference signal intensity corresponding to the reference color; wherein, there are multiple reference colors; each reference color corresponds to a reference signal intensity; determine the reference difference between the color signal intensity and the reference signal intensity of each reference color; determine the total reference difference based on all reference differences; determine the color probability corresponding to each reference color based on the reference difference corresponding to each reference color and the total reference difference; and determine the target color parameter based on the color probabilities corresponding to all reference colors.

[0143] In some implementations, the color determination unit 320 is further configured to: determine the target color parameters based on the color probabilities corresponding to all reference colors and a preset correction coefficient.

[0144] In some implementations, the target color parameters include a first sub-parameter, a second sub-parameter, a third sub-parameter, a fourth sub-parameter, a fifth sub-parameter, a sixth sub-parameter, and a seventh sub-parameter. The temperature determination unit 330 is specifically used to: determine the detection temperature based on the first sub-parameter, the second sub-parameter, the third sub-parameter, the fourth sub-parameter, the fifth sub-parameter, the sixth sub-parameter, and the seventh sub-parameter, as well as the temperature signal intensity, using the following formula:

[0145] T = Ax 6 +Bx 5 +Cx 4 +Dx 3 +Ex 2 +Fx+G;

[0146] Where T represents the detection temperature; A represents the first sub-parameter; B represents the second sub-parameter; C represents the third sub-parameter; D represents the fourth sub-parameter; E represents the fifth sub-parameter; F represents the sixth sub-parameter; G represents the second sub-parameter; and x represents the temperature signal intensity.

[0147] In some embodiments, the device 300 further includes a calibration unit for determining a boiling temperature when the electromagnetic heating device is in a preset function; determining a temperature difference between the boiling temperature and an initial boiling temperature based on the boiling temperature, wherein the initial boiling temperature is the boiling temperature determined when the electromagnetic heating device is first in the preset function; determining calibration parameters based on the boiling temperature and the temperature difference when the temperature difference meets preset conditions; determining the temperature to be calibrated based on the target color parameters and the temperature signal intensity; and determining a detection temperature based on the temperature to be calibrated and the calibration parameters.

[0148] In some implementations, the calibration unit is specifically used to: determine calibration parameters based on the temperature difference and the initial boiling temperature when the temperature difference is greater than a preset threshold.

[0149] It should be noted that, for the device-type embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and relevant details can be found in the descriptions of the method embodiments. Any processing method described in the method embodiments can be implemented in the device embodiments through corresponding processing modules, and will not be elaborated upon further in the device embodiments.

[0150] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0151] Please refer to the following: Figure 9 , Figure 9 This is a schematic diagram of the structure of an electromagnetic heating device provided in an embodiment of the present invention.

[0152] like Figure 9 As shown, the electromagnetic heating device 400 includes: one or more processors 410 and a memory 420. Figure 9 Take a processor 410 as an example.

[0153] The processor 410 and the memory 420 can be connected via a bus or other means. Figure 9 Taking the example of a connection between China and Israel via a bus.

[0154] The processor 410 is used to acquire the temperature signal intensity and color signal intensity detected by the detection module; determine the target color parameter based on the color signal intensity; and determine the detection temperature based on the target color parameter and the temperature signal intensity.

[0155] This application determines the target color parameter of the cooking appliance by measuring the color signal intensity, and determines the temperature of the cooking appliance based on the temperature signal intensity and the target color parameter. This allows for precise temperature measurement of cooking appliances of different colors, improving temperature measurement accuracy.

[0156] The memory 420, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as the program instructions / modules of the temperature detection method in the embodiments of this application. The processor 410 executes various functional applications and data processing of the electromagnetic heating device by running the non-volatile software programs, instructions, and modules stored in the memory 420, thereby implementing the temperature detection method of the above-described method embodiments.

[0157] The memory 420 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the electromagnetic heating device, etc. Furthermore, the memory 420 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 420 may optionally include memory remotely located relative to the processor 410, and these remote memories may be connected to the controller via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0158] One or more modules are stored in memory 420. When executed by one or more processors 410, they perform the temperature detection method in any of the above method embodiments, for example, the method described above. Figure 2 Steps 210 to 230 of the method.

[0159] Please refer to Figure 10 , Figure 10 This is a structural block diagram of a computer-readable storage medium provided in an embodiment of the present invention. The computer-readable storage medium 500 stores program code 510, which can be called by a processor to execute the temperature detection method described in the above method embodiment.

[0160] The computer-readable storage medium 500 may be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Optionally, the computer-readable storage medium includes a non-transitory computer-readable storage medium. The computer-readable storage medium 500 has storage space for program code that performs any of the method steps of the temperature detection method described above. This program code can be read from or written to one or more computer program products. The program code may, for example, be compressed in a suitable form.

[0161] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A temperature detection method, characterized in that, The method is applied to an electromagnetic heating device, the electromagnetic heating device including a detection module, the detection module including a first temperature detection unit, a second temperature detection unit, a first color detection unit, and a second color detection unit; the method includes: Acquire the first temperature detection signal detected by the first temperature detection unit and the second temperature detection signal detected by the second temperature detection unit; The temperature signal intensity is determined based on the first temperature detection signal and the second temperature detection signal; Control the first color detection unit to emit the first color detection signal; Acquire a second color detection signal received by the second color detection unit, wherein the second color detection signal is obtained by reflecting the first color detection signal; The color signal intensity is determined based on the second color detection signal; The target color parameters are determined based on the color signal intensity. The detection temperature is determined based on the target color parameters and the temperature signal intensity. The step of determining the target color parameters based on the color signal intensity includes: Obtain the reference signal intensity corresponding to the reference color; wherein, there are multiple reference colors; each reference color corresponds to a reference signal intensity; Determine the reference difference between the color signal intensity and the reference signal intensity of each reference color; Determine the total benchmark difference based on all benchmark differences; The color probability corresponding to each reference color is determined based on the reference difference value corresponding to each reference color and the total reference difference value. The target color parameters are determined based on the color probabilities corresponding to all reference colors. The target color parameters include a first sub-parameter, a second sub-parameter, a third sub-parameter, a fourth sub-parameter, a fifth sub-parameter, a sixth sub-parameter, and a seventh sub-parameter; Determining the detection temperature based on the target color parameters and the temperature signal intensity includes: Based on the first sub-parameter, the second sub-parameter, the third sub-parameter, the fourth sub-parameter, the fifth sub-parameter, the sixth sub-parameter, and the seventh sub-parameter, as well as the temperature signal intensity, the detected temperature is determined using the following formula: ； Where T represents the detection temperature; A represents the first sub-parameter; B represents the second sub-parameter; C represents the third sub-parameter; D represents the fourth sub-parameter; E represents the fifth sub-parameter; F represents the sixth sub-parameter; G represents the seventh sub-parameter; and x represents the temperature signal intensity.

2. The method according to claim 1, characterized in that, The step of determining the target color parameters based on the color probabilities corresponding to all reference colors includes: The target color parameters are determined based on the color probabilities corresponding to all base colors and preset correction coefficients.

3. The method according to claim 1, characterized in that, The step of determining the detection temperature based on the target color parameters and the temperature signal intensity further includes: When the electromagnetic heating device is in a preset function, the boiling temperature is determined; Based on the boiling temperature, the temperature difference between the boiling temperature and the initial boiling temperature is determined, wherein the initial boiling temperature is the boiling temperature determined when the electromagnetic heating device first operates in the preset function; When the temperature difference meets the preset conditions, the calibration parameters are determined based on the boiling temperature and the temperature difference. The temperature to be calibrated is determined based on the target color parameters and the temperature signal intensity. The detection temperature is determined based on the temperature to be calibrated and the calibration parameters.

4. The method according to claim 3, characterized in that, When the temperature difference meets a preset condition, determining calibration parameters based on the boiling temperature and the temperature difference includes: When the temperature difference is greater than a preset threshold, calibration parameters are determined based on the boiling temperature and the temperature difference.

5. A temperature detection device, characterized in that, An application in electromagnetic heating equipment, the electromagnetic heating equipment including a detection module, the detection module including a first temperature detection unit, a second temperature detection unit, a first color detection unit, and a second color detection unit; the device includes: An acquisition unit is configured to acquire a first temperature detection signal detected by the first temperature detection unit and a second temperature detection signal detected by the second temperature detection unit; determine the temperature signal intensity based on the first temperature detection signal and the second temperature detection signal; control the first color detection unit to emit a first color detection signal; acquire the second color detection signal received by the second color detection unit, wherein the second color detection signal is obtained by reflecting the first color detection signal; and determine the color signal intensity based on the second color detection signal. A color determination unit is used to determine target color parameters based on the color signal intensity. The temperature determination unit is used to determine the detection temperature based on the target color parameters and the temperature signal intensity. The step of determining the target color parameters based on the color signal intensity includes: Obtain the reference signal intensity corresponding to the reference color; wherein, there are multiple reference colors; each reference color corresponds to a reference signal intensity; Determine the reference difference between the color signal intensity and the reference signal intensity of each reference color; Determine the total benchmark difference based on all benchmark differences; The color probability corresponding to each reference color is determined based on the reference difference value corresponding to each reference color and the total reference difference value. The target color parameters are determined based on the color probabilities corresponding to all reference colors. The target color parameters include a first sub-parameter, a second sub-parameter, a third sub-parameter, a fourth sub-parameter, a fifth sub-parameter, a sixth sub-parameter, and a seventh sub-parameter; Determining the detection temperature based on the target color parameters and the temperature signal intensity includes: Based on the first sub-parameter, the second sub-parameter, the third sub-parameter, the fourth sub-parameter, the fifth sub-parameter, the sixth sub-parameter, and the seventh sub-parameter, as well as the temperature signal intensity, the detected temperature is determined using the following formula: ； Where T represents the detection temperature; A represents the first sub-parameter; B represents the second sub-parameter; C represents the third sub-parameter; D represents the fourth sub-parameter; E represents the fifth sub-parameter; F represents the sixth sub-parameter; G represents the seventh sub-parameter; and H represents the temperature signal intensity.

6. An electromagnetic heating device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the temperature detection method according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions that enable the electromagnetic heating device to perform the temperature detection method according to any one of claims 1-4.

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