Cooking cavity temperature detection method and system and cooking equipment
By acquiring the initial temperature distribution of different areas in a steam oven, identifying and correcting abnormal temperature points, the accuracy of temperature detection in the target cooking cavity is improved, solving the problem of low detection accuracy in existing technologies.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NINGBO FOTILE KITCHEN WARE CO LTD
- Filing Date
- 2026-01-21
- Publication Date
- 2026-04-24
AI Technical Summary
Existing methods for detecting the temperature of the oven cavity have problems such as difficulty in detecting the temperature distribution in the space or low temperature measurement accuracy. In particular, temperature probe detection is cumbersome and costly, and infrared sensors are easily affected by the cooking environment.
By acquiring multiple initial temperature distributions in different preset areas within the target cooking cavity, abnormal temperature points in overlapping areas are identified, and these abnormal temperature points are corrected to obtain a corrected temperature distribution. Finally, a weighted fusion process is performed to obtain the target temperature distribution.
It improves the accuracy of temperature detection in the cooking cavity, ensures the accuracy of temperature information between multiple preset areas, and solves the problem of low detection accuracy in existing technologies.
Smart Images
Figure CN121917064A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of kitchen appliance technology, and in particular to a cooking cavity temperature detection method, system and cooking equipment. Background Technology
[0002] To detect the temperature distribution in the cavity of a steam oven, there are two main existing technical solutions: (1) Temperature probe measurement: Multiple temperature probes are used to detect the temperature at multiple points in the cavity. However, temperature probes can only detect the temperature at a specific location. To obtain temperature distribution information, multiple probes need to be placed at multiple locations in the cavity, which is very cumbersome, costly, and may interfere with airflow or food placement in the cavity; (2) Infrared sensor measurement: Infrared sensors are used to detect the temperature distribution in the cavity. However, infrared sensors are easily affected by the cooking environment, leading to inaccurate temperature measurements. Therefore, existing temperature measurement methods have the problems of difficulty in detecting spatial temperature distribution or low temperature measurement accuracy. Summary of the Invention
[0003] To address the aforementioned technical issues, this application discloses a cooking cavity temperature detection method, system, and cooking device. The method corrects abnormal temperature points in the overlapping area of the target based on multiple initial temperature distributions corresponding to different preset regions in the target cooking cavity. Based on the multiple corrected temperature distributions obtained after correction, the target temperature distribution of the target cooking cavity is determined, thereby improving the accuracy of cooking cavity temperature detection.
[0004] On one hand, this application provides a method for detecting the temperature of a cooking cavity, the method comprising: Multiple initial temperature distributions of the target cooking cavity are obtained during the cooking process; the multiple initial temperature distributions are the temperature distributions corresponding to different preset regions in the target cooking cavity, and the preset regions corresponding to at least two of the multiple initial temperature distributions have overlapping parts; Based on multiple initial temperature distributions corresponding to the target overlapping region, abnormal temperature points in the target overlapping region are determined; the target overlapping region is the overlapping region between the preset regions corresponding to the multiple initial temperature distributions. Based on the multiple initial temperature distributions, the abnormal temperatures corresponding to the abnormal temperature points are corrected to obtain multiple corrected temperature distributions corresponding to the multiple initial temperature distributions. The multiple corrected temperature distributions are weighted and fused to obtain the target temperature distribution of the target cooking cavity.
[0005] In some embodiments, determining the abnormal temperature points in the target overlapping region based on multiple initial temperature distributions corresponding to the target overlapping region includes: From the plurality of initial temperature distributions, determine the plurality of initial temperatures corresponding to each target overlap point in the target overlap region; The plurality of initial temperatures are grouped to obtain at least one initial temperature combination; each initial temperature combination includes any two initial temperatures from the plurality of initial temperatures. Based on the at least one initial temperature combination, the abnormal temperature point is determined from the target overlapping points; in the at least one initial temperature combination corresponding to the abnormal temperature point, the absolute value of the difference between the two initial temperatures in the at least one initial temperature combination is greater than a first preset temperature threshold.
[0006] In some embodiments, correcting the abnormal temperature corresponding to the abnormal temperature point based on the plurality of initial temperature distributions to obtain a plurality of corrected temperature distributions corresponding to the plurality of initial temperature distributions includes: Obtain the initial temperature and neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution; the neighborhood average temperature is the average temperature of multiple neighborhood temperature points corresponding to the abnormal temperature point in each initial temperature distribution. The initial temperature corresponding to the abnormal temperature point in each initial temperature distribution is compared with the neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution to obtain multiple temperature comparison results corresponding to the abnormal temperature point. Based on the multiple temperature comparison results, determine the correction temperature corresponding to the abnormal temperature point; The multiple initial temperature distributions are corrected based on the corrected temperature to obtain the multiple corrected temperature distributions.
[0007] In some embodiments, determining the correction temperature corresponding to the abnormal temperature point based on the plurality of temperature comparison results includes: When the abnormal temperature point is located in the target overlapping area formed by two preset areas, the two initial temperatures corresponding to the abnormal temperature point are determined as the first initial temperature and the second initial temperature, and the two neighborhood average temperatures corresponding to the abnormal temperature point are determined as the first neighborhood average temperature and the second neighborhood average temperature. If the absolute value of the difference between the first initial temperature and the first neighborhood average temperature is greater than the second preset temperature threshold, the second initial temperature is determined as the corrected temperature. If the absolute value of the difference between the second initial temperature and the second neighborhood average temperature is greater than the second preset temperature threshold, the first initial temperature is determined as the corrected temperature. If the absolute value of the difference between the first initial temperature and the first neighborhood average temperature is greater than the second preset temperature threshold, and the absolute value of the difference between the second initial temperature and the second neighborhood average temperature is greater than the second preset temperature threshold, then the average of the first neighborhood average temperature and the second neighborhood average temperature is determined as the corrected temperature.
[0008] In some embodiments, determining the correction temperature corresponding to the abnormal temperature point based on the plurality of temperature comparison results further includes: When the abnormal temperature point is located in a target overlapping area formed by at least three preset areas, the initial temperature corresponding to the target comparison result is determined as the corrected temperature; the multiple temperature comparison results are the absolute values of the difference between the initial temperature and the corresponding neighborhood average temperature, and the target comparison result is the minimum value among the multiple temperature comparison results.
[0009] In some embodiments, correcting the plurality of initial temperature distributions based on the corrected temperature to obtain the plurality of corrected temperature distributions includes: Based on the multiple temperature comparison results, the abnormal temperature in the multiple initial temperature distributions is determined; The anomalous temperature in the plurality of initial temperature distributions is replaced with the corrected temperature to obtain the plurality of corrected temperature distributions.
[0010] In some embodiments, the weighted fusion processing of the plurality of corrected temperature distributions to obtain the target temperature distribution of the target cooking cavity includes: Obtain the first weighting coefficient corresponding to each corrected temperature distribution in the target overlapping region, and the second weighting coefficient corresponding to each corrected temperature distribution in other regions; the other regions are regions other than the target overlapping region among a plurality of preset regions. Based on the first weighting coefficient and the second weighting coefficient, the multiple modified temperature distributions are weighted and fused to obtain the target temperature distribution.
[0011] In some embodiments, after performing weighted fusion processing on the plurality of modified temperature distributions to obtain the target temperature distribution of the target cooking cavity, the method further includes: Obtain humidity and steam concentration information of the target cooking cavity during the cooking process; The humidity information and the steam concentration information are fused together to obtain steam compensation information. The preset gradient compensation coefficient and the coordinate information of temperature points in each region of multiple preset regions are fused to obtain the thermal gradient compensation information corresponding to the temperature points in each region. The target temperature distribution, the steam compensation information, and the thermal gradient compensation information are fused to obtain the compensated temperature distribution of the target cooking cavity.
[0012] On the other hand, this application also provides a cooking device, the cooking device including a controller for performing the cooking cavity temperature detection method as described above.
[0013] On the other hand, this application also provides a cooking cavity temperature detection system, the system including a data acquisition terminal and a controller; The acquisition terminal is used to acquire multiple initial temperature distributions of the target cooking cavity during the cooking process and send the multiple initial temperature distributions to the controller; The controller is used to perform the cooking cavity temperature detection method as described above.
[0014] Implementing the embodiments of this application has the following beneficial effects: The cooking cavity temperature detection method disclosed in this application acquires multiple initial temperature distributions corresponding to different preset regions in the target cooking cavity. Based on these initial temperature distributions, abnormal temperature points in the target overlapping region between the different preset regions are determined. The abnormal temperatures corresponding to these abnormal temperature points are then corrected to obtain multiple corrected temperature distributions. These corrected temperature distributions are then weighted and fused to obtain the target temperature distribution of the target cooking cavity. Determining abnormal temperature points in the target overlapping region based on multiple initial temperature distributions corresponding to different preset regions in the target cooking cavity and correcting these abnormal temperature points ensures the accuracy of the temperature information corresponding to the target overlapping region between the multiple preset regions in the target cooking cavity. Furthermore, obtaining the target temperature distribution of the target cooking cavity by fusing the corrected multiple corrected temperature distributions corresponding to different preset regions improves the accuracy of cooking cavity temperature detection. Attached Figure Description
[0015] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0016] Figure 1 A schematic flowchart illustrating a cooking cavity temperature detection method provided in an embodiment of this application; Figure 2 This application provides a schematic diagram illustrating the range of multiple preset regions in an embodiment. Figure 3 This is a schematic diagram illustrating the range of another set of preset regions provided in an embodiment of this application; Figure 4 A schematic flowchart illustrating a temperature correction method provided in an embodiment of this application; Figure 5 A schematic flowchart of a temperature compensation method provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of a cooking equipment controller provided in an embodiment of this application; Figure 7 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of this application. Detailed Implementation
[0017] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.
[0018] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. Furthermore, the terms "first," "second," etc., are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such information can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in a sequence other than that illustrated or described herein.
[0019] The cooking cavity temperature detection system provided in this application includes a data acquisition end and a controller; the data acquisition end refers to multiple infrared sensors of the cooking equipment; the controller refers to the controller of the cooking equipment, which can be a steam oven, oven, steam oven or other kitchen appliances with food cooking functions.
[0020] The acquisition terminal is used to acquire multiple initial temperature distributions of the target cooking cavity during the cooking process and send the multiple initial temperature distributions to the controller.
[0021] The controller is configured to acquire multiple initial temperature distributions of the target cooking cavity during the cooking process; the multiple initial temperature distributions are temperature distributions corresponding to different preset regions in the target cooking cavity, and at least two of the multiple initial temperature distributions correspond to preset regions with overlapping portions; based on the multiple initial temperature distributions corresponding to the target overlapping regions, abnormal temperature points in the target overlapping regions are determined; the target overlapping regions are the overlapping regions between the preset regions corresponding to the multiple initial temperature distributions; the abnormal temperatures corresponding to the abnormal temperature points are corrected based on the multiple initial temperature distributions to obtain multiple corrected temperature distributions corresponding to the multiple initial temperature distributions; and the multiple corrected temperature distributions are weighted and fused to obtain the target temperature distribution of the target cooking cavity.
[0022] See Figure 1 , Figure 1 This is a flowchart illustrating a cooking cavity temperature detection method provided in an embodiment of this application. The method is applied to the controller of a cooking device and includes: S101, acquire multiple initial temperature distributions of the target cooking cavity during the cooking process; the multiple initial temperature distributions are temperature distributions corresponding to different preset regions in the target cooking cavity, and the preset regions corresponding to at least two of the multiple initial temperature distributions have overlapping parts; In some embodiments, the target cooking cavity of the cooking device is equipped with multiple infrared sensors. These sensors have different temperature acquisition ranges and are used to acquire multiple initial temperature distributions corresponding to different preset areas within the target cooking cavity during the cooking process. The initial temperature distribution represents the initial temperature information corresponding to temperature points (i.e., three-dimensional coordinates) in each area of the target cooking cavity. At least two of the infrared sensors have overlapping temperature acquisition ranges. For example, the target cooking cavity of the cooking device may be equipped with two infrared sensors, namely infrared sensor A and infrared sensor B. Infrared sensor B is vertically deployed at the top center of the target cooking cavity, while infrared sensor A is obliquely deployed on the side wall of the oven at a 30° angle to the vertical direction. Infrared sensor A is a wide-viewing-angle sensor, while infrared sensor B is a narrow-viewing-angle sensor. That is, the temperature acquisition range of infrared sensor A is larger than that of infrared sensor B, and the temperature acquisition ranges of infrared sensor A and infrared sensor B overlap.
[0023] S103, based on multiple initial temperature distributions corresponding to the target overlapping region, determine the abnormal temperature points in the target overlapping region; the target overlapping region is the overlapping region between the preset regions corresponding to the multiple initial temperature distributions; In some embodiments, there is at least one target overlapping region between different preset regions, i.e., the temperature acquisition ranges corresponding to multiple infrared sensors, and there is at least one target overlapping point in the target overlapping region. By comparing the initial temperature information of each target overlapping point in different initial temperature distributions, abnormal temperature points in the target overlapping region can be determined.
[0024] S105, Based on the multiple initial temperature distributions, the abnormal temperature corresponding to the abnormal temperature point is corrected to obtain multiple corrected temperature distributions corresponding to the multiple initial temperature distributions. In some embodiments, the corrected temperature corresponding to the abnormal temperature point is determined based on multiple initial temperature distributions, and the multiple initial temperature distributions are corrected based on the corrected temperature corresponding to the abnormal temperature point to obtain multiple corrected temperature distributions.
[0025] S107, perform weighted fusion processing on the multiple corrected temperature distributions to obtain the target temperature distribution of the target cooking cavity.
[0026] In some embodiments, the target temperature distribution of the target cooking cavity is obtained by weighted fusion processing based on the weight coefficients corresponding to the target overlapping region and the non-overlapping region of the multiple corrected temperatures.
[0027] In some embodiments, determining the abnormal temperature points in the target overlapping region based on multiple initial temperature distributions corresponding to the target overlapping region includes: From the plurality of initial temperature distributions, determine the plurality of initial temperatures corresponding to each target overlap point in the target overlap region; The plurality of initial temperatures are grouped to obtain at least one initial temperature combination; each initial temperature combination includes any two initial temperatures from the plurality of initial temperatures. Based on the at least one initial temperature combination, the abnormal temperature point is determined from the target overlapping points; in the at least one initial temperature combination corresponding to the abnormal temperature point, the absolute value of the difference between the two initial temperatures in the at least one initial temperature combination is greater than a first preset temperature threshold.
[0028] In some embodiments, the initial temperatures corresponding to each target overlapping point in the target overlapping region under different initial temperature distributions are grouped to obtain at least one initial temperature combination. Each initial temperature combination includes any two initial temperatures from a plurality of initial temperatures corresponding to each target overlapping point. The two initial temperatures in each initial temperature combination are compared. If the absolute value of the difference between the two initial temperatures in at least one initial temperature combination is greater than a first preset temperature threshold, that is, the initial temperatures corresponding to the target overlapping point in the two different initial temperature distributions differ significantly, then the target overlapping point is considered an abnormal temperature point. The first preset temperature threshold can be set according to actual usage requirements. For example, see [link to relevant documentation]. Figure 2 , Figure 2 This is a schematic diagram illustrating the range of multiple preset regions provided in an embodiment of this application. When the target overlapping region is formed by two preset regions, the two initial temperature distributions corresponding to the two preset regions are as follows: 、 For target overlap points The initial temperatures corresponding to the two initial temperature distributions are respectively the initial temperatures. Initial temperature By grouping the two initial temperatures, a combination of initial temperatures is obtained, namely... If the initial temperature combination initial temperature in With initial temperature The absolute value of the difference is greater than the first preset temperature threshold, that is Then the target overlap point This is an abnormal temperature point. For example, see [link to example]. Figure 3 , Figure 3 This is a schematic diagram illustrating the range of another set of preset regions provided in an embodiment of this application. In the case where the target overlapping region is formed by three preset regions, the three initial temperature distributions corresponding to the three preset regions are as follows: 、 , For target overlap points The initial temperatures corresponding to the three initial temperature distributions are respectively the initial temperatures. Initial temperature Initial temperature By grouping the three initial temperatures, three combinations of initial temperatures are obtained, namely: , , If the initial temperature combination initial temperature in With initial temperature The absolute value of the difference is greater than the first preset temperature threshold, that is Then the target overlap point This is an abnormal temperature point.
[0029] This application embodiment can determine abnormal temperature points in the target overlapping area by comparing the initial temperature information of each target overlapping point in different initial temperature distributions. Then, based on multiple initial temperature distributions corresponding to different preset areas in the target cooking cavity, the abnormal temperature points are corrected to ensure the accuracy of the temperature information corresponding to the target overlapping area between multiple preset areas in the target cooking cavity.
[0030] In some embodiments, see Figure 4 , Figure 4 This is a flowchart illustrating a temperature correction method provided in an embodiment of this application. The step of correcting the abnormal temperature corresponding to the abnormal temperature point based on the plurality of initial temperature distributions to obtain a plurality of corrected temperature distributions corresponding to the plurality of initial temperature distributions includes: S401, obtain the initial temperature and neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution; the neighborhood average temperature is the average temperature of multiple neighborhood temperature points corresponding to the abnormal temperature point in each initial temperature distribution. In some embodiments, the neighborhood temperature points are a preset number of adjacent temperature points corresponding to the abnormal temperature point in each initial temperature distribution. For example, the preset number can be 8. Based on the average of the initial temperatures of the preset number of adjacent temperature points, the neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution can be obtained.
[0031] S403, compare the initial temperature corresponding to the abnormal temperature point in each initial temperature distribution with the neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution to obtain multiple temperature comparison results corresponding to the abnormal temperature point; In some embodiments, by comparing the initial temperature corresponding to the abnormal temperature point in each initial temperature distribution with the neighborhood average temperature, multiple temperature comparison results corresponding to the abnormal temperature point can be obtained.
[0032] S405, Based on the multiple temperature comparison results, determine the correction temperature corresponding to the abnormal temperature point; In some embodiments, based on multiple temperature comparison results corresponding to abnormal temperature points, abnormal temperatures in multiple initial temperature distributions and corrected temperatures corresponding to abnormal temperature points can be determined. The corrected temperature is the accurate temperature information corresponding to the abnormal temperature point.
[0033] S407, Based on the corrected temperature, the plurality of initial temperature distributions are corrected to obtain the plurality of corrected temperature distributions.
[0034] In some embodiments, the abnormal temperatures in multiple initial temperature distributions are replaced with the corrected temperatures corresponding to the abnormal temperature points to obtain multiple corrected temperature distributions.
[0035] This application embodiment can determine the abnormal temperature in multiple initial temperature distributions and the corrected temperature corresponding to the abnormal temperature point by comparing the initial temperature corresponding to the abnormal temperature point in different initial temperature distributions with the neighborhood average temperature. Then, the abnormal temperature point is corrected based on the corrected temperature to obtain multiple corrected temperature distributions corresponding to multiple initial temperature distributions. This can ensure the accuracy of the temperature information corresponding to the target overlapping area between multiple preset areas in the target cooking cavity.
[0036] In some embodiments, determining the correction temperature corresponding to the abnormal temperature point based on the plurality of temperature comparison results includes: When the abnormal temperature point is located in the target overlapping area formed by two preset areas, the two initial temperatures corresponding to the abnormal temperature point are determined as the first initial temperature and the second initial temperature, and the two neighborhood average temperatures corresponding to the abnormal temperature point are determined as the first neighborhood average temperature and the second neighborhood average temperature. If the absolute value of the difference between the first initial temperature and the first neighborhood average temperature is greater than the second preset temperature threshold, the second initial temperature is determined as the corrected temperature. If the absolute value of the difference between the second initial temperature and the second neighborhood average temperature is greater than the second preset temperature threshold, the first initial temperature is determined as the corrected temperature. If the absolute value of the difference between the first initial temperature and the first neighborhood average temperature is greater than the second preset temperature threshold, and the absolute value of the difference between the second initial temperature and the second neighborhood average temperature is greater than the second preset temperature threshold, then the average of the first neighborhood average temperature and the second neighborhood average temperature is determined as the corrected temperature.
[0037] In some embodiments, when the abnormal temperature point is located in a target overlapping region formed by two preset regions, the two initial temperature distributions corresponding to the two preset regions are respectively the first initial temperature distribution. and the second initial temperature distribution Abnormal temperature points The two initial temperatures corresponding to the two initial temperature distributions are respectively the first initial temperature. and the second initial temperature The average temperature of the two neighborhoods corresponding to the abnormal temperature point in the two initial temperature distributions is the first neighborhood average temperature. and the average temperature of the second neighborhood If the first initial temperature Average temperature of the first neighborhood The absolute value of the difference is greater than the second preset temperature threshold, that is This indicates the first initial temperature. Average temperature of the first neighborhood The difference is significant, especially the initial temperature. The confidence level is low, meaning the abnormal temperature point corresponds to the first initial temperature in the first initial temperature distribution. For abnormal temperatures, the corresponding second initial temperature in the second initial temperature distribution is needed. Replace the abnormal temperature; that is, replace the corrected temperature corresponding to the abnormal temperature point with the second initial temperature. The second preset temperature threshold can be set according to actual usage requirements; if the second initial temperature... Average temperature of the second neighborhood The absolute value of the difference is greater than the second preset temperature threshold, that is This indicates the second initial temperature. Average temperature of the second neighborhood The difference is significant, the second initial temperature The confidence level is low, meaning the abnormal temperature point corresponds to the second initial temperature in the second initial temperature distribution. For abnormal temperatures, the corresponding initial temperature in the first initial temperature distribution is needed. Replace the abnormal temperature; that is, replace the corrected temperature corresponding to the abnormal temperature point with the first initial temperature. If the first initial temperature Average temperature of the first neighborhood The absolute value of the difference is greater than the second preset temperature threshold, and the second initial temperature Average temperature of the second neighborhood If the absolute value of the difference is also greater than the second preset temperature threshold, then it indicates that the abnormal temperature point corresponds to the first initial temperature in the first initial temperature distribution. The second initial temperature corresponding to the abnormal temperature point in the second initial temperature distribution All temperatures are abnormal; the average temperature of the first neighborhood should be used. Average temperature of the second neighborhood The average value replaces the abnormal temperature; that is, the corrected temperature corresponding to the abnormal temperature point is the average temperature of the first neighborhood. Average temperature of the second neighborhood The average value.
[0038] This application embodiment can determine the abnormal temperature in multiple initial temperature distributions and the corrected temperature corresponding to the abnormal temperature point by comparing the initial temperature corresponding to the abnormal temperature point in different initial temperature distributions with the neighborhood average temperature. Then, the abnormal temperature point is corrected based on the corrected temperature to obtain multiple corrected temperature distributions corresponding to multiple initial temperature distributions. This can ensure the accuracy of the temperature information corresponding to the target overlapping area between multiple preset areas in the target cooking cavity.
[0039] In some embodiments, determining the correction temperature corresponding to the abnormal temperature point based on the plurality of temperature comparison results further includes: When the abnormal temperature point is located in a target overlapping area formed by at least three preset areas, the initial temperature corresponding to the target comparison result is determined as the corrected temperature; the multiple temperature comparison results are the absolute values of the difference between the initial temperature and the corresponding neighborhood average temperature, and the target comparison result is the minimum value among the multiple temperature comparison results.
[0040] In some embodiments, when the abnormal temperature point is located in a target overlapping region formed by at least three preset regions, the absolute value of the difference between the initial temperature corresponding to the abnormal temperature point in each initial temperature distribution and the neighborhood average temperature is calculated respectively. The multiple calculation results are determined as multiple temperature comparison results, the minimum value among the multiple temperature comparison results is determined as the target comparison result, and the initial temperature corresponding to the target comparison result is determined as the correction temperature corresponding to the abnormal temperature point. That is, the initial temperature with the smallest difference from the corresponding neighborhood average temperature is taken as the correction temperature corresponding to the abnormal temperature point.
[0041] This application embodiment can determine the abnormal temperature in multiple initial temperature distributions and the corrected temperature corresponding to the abnormal temperature point by comparing the initial temperature corresponding to the abnormal temperature point in different initial temperature distributions with the neighborhood average temperature. Then, the abnormal temperature point is corrected based on the corrected temperature to obtain multiple corrected temperature distributions corresponding to multiple initial temperature distributions. This can ensure the accuracy of the temperature information corresponding to the target overlapping area between multiple preset areas in the target cooking cavity.
[0042] In some embodiments, correcting the plurality of initial temperature distributions based on the corrected temperature to obtain the plurality of corrected temperature distributions includes: Based on the multiple temperature comparison results, the abnormal temperature in the multiple initial temperature distributions is determined; The anomalous temperature in the plurality of initial temperature distributions is replaced with the corrected temperature to obtain the plurality of corrected temperature distributions.
[0043] In some embodiments, when the abnormal temperature point is located in a target overlapping region formed by two preset regions, the abnormal temperature is an initial temperature whose absolute value of the difference from the corresponding neighborhood average temperature is greater than a second preset temperature threshold; when the abnormal temperature point is located in a target overlapping region formed by at least three preset regions, the abnormal temperature is any initial temperature among the multiple initial temperatures corresponding to the abnormal temperature point, excluding the initial temperature with the smallest difference from the corresponding neighborhood average temperature. Then, the abnormal temperature is replaced with the corrected temperature corresponding to the abnormal temperature point to obtain multiple corrected temperature distributions corresponding to multiple initial temperature distributions, thereby achieving abnormal temperature correction for multiple initial temperature distributions.
[0044] This application embodiment can determine the abnormal temperature in multiple initial temperature distributions and the corrected temperature corresponding to the abnormal temperature point by comparing the initial temperature corresponding to the abnormal temperature point in different initial temperature distributions with the neighborhood average temperature. Then, the abnormal temperature point is corrected based on the corrected temperature to obtain multiple corrected temperature distributions corresponding to multiple initial temperature distributions. This can ensure the accuracy of the temperature information corresponding to the target overlapping area between multiple preset areas in the target cooking cavity.
[0045] In some embodiments, the weighted fusion processing of the plurality of corrected temperature distributions to obtain the target temperature distribution of the target cooking cavity includes: Obtain the first weighting coefficient corresponding to each corrected temperature distribution in the target overlapping region, and the second weighting coefficient corresponding to each corrected temperature distribution in other regions; the other regions are regions other than the target overlapping region among a plurality of preset regions. Based on the first weighting coefficient and the second weighting coefficient, the multiple modified temperature distributions are weighted and fused to obtain the target temperature distribution.
[0046] In some embodiments, each corrected temperature distribution corresponds to a different weighting coefficient in the target overlapping region and other regions, where other regions refer to non-overlapping regions among multiple preset regions. Since a non-overlapping region corresponds to only one corrected temperature distribution, the second weighting coefficient corresponding to the corrected temperature distribution in the non-overlapping region is 1, and the second weighting coefficient corresponding to the other corrected temperature distributions is 0; the target overlapping region corresponds to multiple corrected temperature distributions, and the sum of the first weighting coefficients corresponding to the multiple corrected temperature distributions in the target overlapping region is 1.
[0047] For example, such as Figure 2As shown, when two infrared sensors are installed in the target cooking cavity of the cooking device, the two infrared sensors are infrared sensor A and infrared sensor B. The temperature acquisition range of infrared sensor A is a first preset area, and the temperature acquisition range of infrared sensor B is a second preset area. Infrared sensor A is used to acquire the first initial temperature distribution corresponding to the first preset area. Infrared sensor B is used to collect the second initial temperature distribution corresponding to the second preset area. The overlapping area between the temperature acquisition range of infrared sensor A and the temperature acquisition range of infrared sensor B is the target overlapping area ③. For the first non-overlapping area ①, which is within the temperature acquisition range of infrared sensor A but not within the temperature acquisition range of infrared sensor B, the first corrected temperature distribution corresponds to the first initial temperature distribution. Second weighting coefficient The second initial temperature distribution corresponds to the second corrected temperature distribution. Second weighting coefficient For the second non-overlapping region ②, which is within the temperature acquisition range of infrared sensor B but not within the temperature acquisition range of infrared sensor A, the first corrected temperature distribution... Second weighting coefficient Second corrected temperature distribution Second weighting coefficient 1; For the target overlapping region ③, the first corrected temperature distribution First weighting coefficient Second corrected temperature distribution First weighting coefficient ,in, This is the horizontal weighting coefficient, used to control the weight decay in the horizontal direction, for example, It can be 0.02; This is the vertical weighting coefficient, used to control the weight decay in the vertical direction, for example, It can be 0.03; For example, to preset a reference height, H represents the height of the target cooking cavity. Then, based on the first and second weighting coefficients, the first and second corrected temperature distributions are weighted and fused to obtain the target temperature distribution of the target cooking cavity. .
[0048] The embodiments of this application perform weighted fusion processing on the multiple corrected temperature distributions based on the weight coefficients corresponding to the overlapping and non-overlapping regions of the target, to obtain the target temperature distribution of the target cooking cavity, which can improve the accuracy of temperature detection in the cooking cavity.
[0049] In some embodiments, see Figure 5 , Figure 5 This is a flowchart illustrating a temperature compensation method provided in an embodiment of this application. After weighted fusion processing of the multiple corrected temperature distributions to obtain the target temperature distribution of the target cooking cavity, the method further includes: S501, Obtain humidity information and steam concentration information of the target cooking cavity during the cooking process; In some embodiments, a humidity sensor and a steam concentration sensor are provided in the target cooking cavity of the cooking device. The humidity sensor is used to collect relative humidity data (i.e., humidity information) in the target cooking cavity, and the steam concentration sensor is used to collect steam concentration data (i.e., steam concentration information) in the target cooking cavity.
[0050] S503, perform information fusion processing on the humidity information and the steam concentration information to obtain steam compensation information; In some embodiments, steam compensation information The calculation formula is: Where k is the compensation intensity, which is determined by calibration; for example, k can be 1.5~2.5; RH is the humidity information; and S is the steam concentration information.
[0051] S505, perform information fusion processing on the preset gradient compensation coefficient and the coordinate information of temperature points in each region of multiple preset regions to obtain thermal gradient compensation information corresponding to the temperature points in each region respectively. In some embodiments, due to reflections from the edge metal wall and geometric viewing angle errors, thermal compensation is required for the sensor path integration effect. Multiple preset regions include multiple temperature points, and each temperature point corresponds to a thermal gradient compensation information. The calculation formula is: ,in, For example, preset gradient compensation coefficients, It can be -0.018; x and y are the coordinates of the temperature points in each region.
[0052] S507, perform information fusion processing on the target temperature distribution, the steam compensation information, and the thermal gradient compensation information to obtain the compensated temperature distribution of the target cooking cavity.
[0053] In some embodiments, the compensated temperature distribution of the target cooking cavity The calculation formula is: ,in, The target temperature distribution for the target cooking cavity.
[0054] This application embodiment compensates for radiation attenuation based on humidity and steam concentration information, and performs thermal compensation for edge regions of sensor path integration effect, solving the problems of infrared sensor attenuation and systematic error, realizing compensation for the target temperature distribution of the target cooking cavity, and improving the accuracy of cooking cavity temperature detection.
[0055] This application provides a method for detecting the temperature of a cooking cavity. The method includes: acquiring multiple initial temperature distributions of a target cooking cavity during the cooking process; the multiple initial temperature distributions are temperature distributions corresponding to different preset regions in the target cooking cavity, and at least two of the multiple initial temperature distributions correspond to preset regions with overlapping portions; determining abnormal temperature points in the target overlapping region based on the multiple initial temperature distributions corresponding to the target overlapping region; the target overlapping region is the overlapping region between the preset regions corresponding to the multiple initial temperature distributions; correcting the abnormal temperatures corresponding to the abnormal temperature points based on the multiple initial temperature distributions to obtain multiple corrected temperature distributions corresponding to the multiple initial temperature distributions; and performing weighted fusion processing on the multiple corrected temperature distributions to obtain the target temperature distribution of the target cooking cavity. This application obtains multiple initial temperature distributions corresponding to different preset regions in the target cooking cavity, determines abnormal temperature points in the target overlapping region between different preset regions based on the multiple initial temperature distributions, corrects the abnormal temperatures corresponding to the abnormal temperature points to obtain multiple corrected temperature distributions, and performs weighted fusion processing on the multiple corrected temperature distributions to obtain the target temperature distribution of the target cooking cavity. By determining abnormal temperature points in the target overlapping area based on multiple initial temperature distributions corresponding to different preset areas in the target cooking cavity and correcting the abnormal temperature points, the accuracy of the temperature information corresponding to the target overlapping area between multiple preset areas in the target cooking cavity can be ensured. By fusing the corrected temperature distributions corresponding to different preset areas, the target temperature distribution of the target cooking cavity can be obtained, which can improve the accuracy of temperature detection in the cooking cavity.
[0056] This application also provides a cooking device, see [link to relevant documentation] Figure 6 , Figure 6 This is a schematic diagram of a cooking device controller provided in an embodiment of this application. The cooking device includes a controller, which includes: The initial temperature distribution acquisition module 610 is used to acquire multiple initial temperature distributions of the target cooking cavity during the cooking process; the multiple initial temperature distributions are the temperature distributions corresponding to different preset areas in the target cooking cavity, and the preset areas corresponding to at least two of the multiple initial temperature distributions have overlapping parts. The abnormal temperature point determination module 620 is used to determine the abnormal temperature point in the target overlapping region based on multiple initial temperature distributions corresponding to the target overlapping region; the target overlapping region is the overlapping region between the preset regions corresponding to the multiple initial temperature distributions. The temperature distribution correction determination module 630 is used to correct the abnormal temperature corresponding to the abnormal temperature point based on the multiple initial temperature distributions, so as to obtain multiple corrected temperature distributions corresponding to the multiple initial temperature distributions. The target temperature distribution determination module 640 is used to perform weighted fusion processing on the multiple modified temperature distributions to obtain the target temperature distribution of the target cooking cavity.
[0057] In some embodiments, the abnormal temperature point determination module 620 includes: An overlapping point initial temperature determination unit is used to determine multiple initial temperatures corresponding to each target overlapping point in the target overlapping region from the multiple initial temperature distributions; A grouping unit is used to group the plurality of initial temperatures to obtain at least one initial temperature combination; each initial temperature combination includes any two initial temperatures from the plurality of initial temperatures. An abnormal temperature point determination unit is used to determine the abnormal temperature point from the target overlapping points based on the at least one initial temperature combination; in the at least one initial temperature combination corresponding to the abnormal temperature point, the absolute value of the difference between the two initial temperatures in the at least one initial temperature combination is greater than a first preset temperature threshold.
[0058] In some embodiments, the corrected temperature distribution determination module 630 includes: An initial temperature and neighborhood average temperature acquisition unit is used to acquire the initial temperature and neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution; the neighborhood average temperature is the average temperature of multiple neighborhood temperature points corresponding to the abnormal temperature point in each initial temperature distribution. A temperature comparison unit is used to compare the initial temperature corresponding to the abnormal temperature point in each initial temperature distribution with the neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution, so as to obtain multiple temperature comparison results corresponding to the abnormal temperature point. A temperature correction determination unit is used to determine the correction temperature corresponding to the abnormal temperature point based on the multiple temperature comparison results. A temperature distribution correction determination unit is used to correct the plurality of initial temperature distributions based on the correction temperature to obtain the plurality of corrected temperature distributions.
[0059] In some embodiments, the corrected temperature determination unit includes: An abnormal temperature point information determination subunit is used to determine the two initial temperatures corresponding to the abnormal temperature point as a first initial temperature and a second initial temperature when the abnormal temperature point is located in a target overlapping area formed by two preset areas, and to determine the two neighborhood average temperatures corresponding to the abnormal temperature point as a first neighborhood average temperature and a second neighborhood average temperature. The first corrected temperature determination subunit is used to determine the second initial temperature as the corrected temperature when the absolute value of the difference between the first initial temperature and the first neighborhood average temperature is greater than a second preset temperature threshold. The second corrected temperature determination subunit is used to determine the first initial temperature as the corrected temperature when the absolute value of the difference between the second initial temperature and the second neighborhood average temperature is greater than the second preset temperature threshold. The third corrected temperature determination subunit is used to determine the average of the first neighborhood average temperature and the second neighborhood average temperature as the corrected temperature when the absolute value of the difference between the first initial temperature and the first neighborhood average temperature is greater than the second preset temperature threshold, and the absolute value of the difference between the second initial temperature and the second neighborhood average temperature is greater than the second preset temperature threshold.
[0060] In some embodiments, the corrected temperature determination unit further includes: The fourth corrected temperature determination subunit is used to determine the initial temperature corresponding to the target comparison result as the corrected temperature when the abnormal temperature point is located in the target overlapping area formed by at least three preset areas; the plurality of temperature comparison results are the absolute values of the difference between the initial temperature and the corresponding neighborhood average temperature, and the target comparison result is the minimum value among the plurality of temperature comparison results.
[0061] In some embodiments, the corrected temperature distribution determination unit includes: An abnormal temperature determination subunit is used to determine the abnormal temperature in the plurality of initial temperature distributions based on the plurality of temperature comparison results. A temperature replacement subunit is used to replace the abnormal temperature in the plurality of initial temperature distributions with the corrected temperature to obtain the plurality of corrected temperature distributions.
[0062] In some embodiments, the target temperature distribution determination module 640 includes: The weighting coefficient determination unit is used to obtain the first weighting coefficient corresponding to each corrected temperature distribution in the target overlapping region, and the second weighting coefficient corresponding to each corrected temperature distribution in other regions; the other regions are regions other than the target overlapping region among a plurality of preset regions. The weighted fusion unit is used to perform weighted fusion processing on the plurality of modified temperature distributions based on the first weight coefficient and the second weight coefficient to obtain the target temperature distribution.
[0063] In some embodiments, the controller further includes: A humidity and steam concentration acquisition module is used to acquire humidity and steam concentration information of the target cooking cavity during the cooking process; A steam compensation information determination module is used to perform information fusion processing on the humidity information and the steam concentration information to obtain steam compensation information; The thermal gradient compensation information determination module is used to perform information fusion processing on the preset gradient compensation coefficient and the coordinate information of temperature points in each region of multiple preset regions to obtain the thermal gradient compensation information corresponding to the temperature points in each region. The compensation temperature distribution determination module is used to perform information fusion processing on the target temperature distribution, the steam compensation information, and the thermal gradient compensation information to obtain the compensation temperature distribution of the target cooking cavity.
[0064] The apparatus provided in the above embodiments can execute the method provided in any embodiment of this application, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in the above embodiments can be found in a cooking cavity temperature detection method provided in any embodiment of this application.
[0065] This embodiment also provides a computer-readable storage medium storing computer-executable instructions, which are loaded by a processor and executed by the above-described cooking cavity temperature detection method of this embodiment.
[0066] This embodiment also provides an electronic device, which includes a processor and a memory, wherein the memory stores a computer program adapted to be loaded by the processor and executed by the processor to perform the cooking cavity temperature detection method described above in this embodiment.
[0067] The electronic device may be a computer terminal, a mobile terminal, or a server, and may also participate in constituting the apparatus or system provided in the embodiments of this application. For example... Figure 7 As shown, the electronic device 7 may include one or more (shown as 702a, 702b, ..., 702n in the figure) processors 702 (processors 702 may include, but are not limited to, microprocessors MCUs or programmable logic devices FPLDs), a memory 704 for storing information, and a transmission device 706 for communication functions. In addition, it may also include input / output interfaces (I / O interfaces) and network interfaces. Those skilled in the art will understand that... Figure 7The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, electronic device 7 may also include... Figure 7 The more or fewer components shown, or having the same Figure 7 The different configurations shown.
[0068] It should be noted that the aforementioned one or more processors 702 and / or other information processing circuits are generally referred to herein as "information processing circuits". These information processing circuits may be wholly or partially embodied in software, hardware, firmware, or any other combination thereof. Furthermore, the information processing circuits may be a single, independent processing module, or may be wholly or partially integrated into any other element within the electronic device 7.
[0069] The memory 704 can be used to store software programs and modules of application software, such as the program instruction / information storage device corresponding to the method described in the embodiments of this application. The processor 702 executes various functional applications and information processing by running the software programs and modules stored in the memory 704, thereby realizing the above-mentioned cooking cavity temperature detection method. The memory 704 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 704 may further include memory remotely located relative to the processor 702, and these remote memories can be connected to the electronic device 7 via a network. Examples of the above-mentioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.
[0070] The transmission device 706 is used to receive or send information via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the electronic device 7. In one example, the transmission device 706 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 706 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.
[0071] This specification provides the operational steps of the methods described in the embodiments or flowcharts, but more or fewer operational steps may be included based on conventional or non-inventive labor. The steps and order listed in the embodiments are merely one possible execution order among many steps and do not represent the only execution order. In actual system or interrupt product execution, the methods shown in the embodiments or drawings can be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment).
[0072] The structure shown in this embodiment is only a partial structure related to the solution of this application and does not constitute a limitation on the device to which the solution of this application is applied. Specific devices may include more or fewer components than shown, or combinations of certain components, or arrangements of different components. It should be understood that the methods, apparatuses, etc., disclosed in this embodiment can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between devices or unit modules through some interfaces.
[0073] Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0074] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this specification can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0075] The above-described 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 method for detecting the temperature of a cooking cavity, characterized in that, The method includes: Multiple initial temperature distributions of the target cooking cavity are obtained during the cooking process; the multiple initial temperature distributions are the temperature distributions corresponding to different preset regions in the target cooking cavity, and the preset regions corresponding to at least two of the multiple initial temperature distributions have overlapping parts; Based on multiple initial temperature distributions corresponding to the target overlapping region, abnormal temperature points in the target overlapping region are determined; the target overlapping region is the overlapping region between the preset regions corresponding to the multiple initial temperature distributions. Based on the multiple initial temperature distributions, the abnormal temperatures corresponding to the abnormal temperature points are corrected to obtain multiple corrected temperature distributions corresponding to the multiple initial temperature distributions. The multiple corrected temperature distributions are weighted and fused to obtain the target temperature distribution of the target cooking cavity.
2. The cooking cavity temperature detection method according to claim 1, characterized in that, The step of determining abnormal temperature points in the target overlapping region based on multiple initial temperature distributions corresponding to the target overlapping region includes: From the plurality of initial temperature distributions, determine the plurality of initial temperatures corresponding to each target overlap point in the target overlap region; The plurality of initial temperatures are grouped to obtain at least one initial temperature combination; each initial temperature combination includes any two initial temperatures from the plurality of initial temperatures. Based on the at least one initial temperature combination, the abnormal temperature point is determined from the target overlapping points; in the at least one initial temperature combination corresponding to the abnormal temperature point, the absolute value of the difference between the two initial temperatures in the at least one initial temperature combination is greater than a first preset temperature threshold.
3. The cooking cavity temperature detection method according to claim 1, characterized in that, The step of correcting the abnormal temperature corresponding to the abnormal temperature point based on the multiple initial temperature distributions to obtain multiple corrected temperature distributions corresponding to the multiple initial temperature distributions includes: Obtain the initial temperature and neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution; the neighborhood average temperature is the average temperature of multiple neighborhood temperature points corresponding to the abnormal temperature point in each initial temperature distribution. The initial temperature corresponding to the abnormal temperature point in each initial temperature distribution is compared with the neighborhood average temperature corresponding to the abnormal temperature point in each initial temperature distribution to obtain multiple temperature comparison results corresponding to the abnormal temperature point. Based on the multiple temperature comparison results, determine the correction temperature corresponding to the abnormal temperature point; The multiple initial temperature distributions are corrected based on the corrected temperature to obtain the multiple corrected temperature distributions.
4. The cooking cavity temperature detection method according to claim 3, characterized in that, The step of determining the correction temperature corresponding to the abnormal temperature point based on the multiple temperature comparison results includes: When the abnormal temperature point is located in the target overlapping area formed by two preset areas, the two initial temperatures corresponding to the abnormal temperature point are determined as the first initial temperature and the second initial temperature, and the two neighborhood average temperatures corresponding to the abnormal temperature point are determined as the first neighborhood average temperature and the second neighborhood average temperature. If the absolute value of the difference between the first initial temperature and the first neighborhood average temperature is greater than the second preset temperature threshold, the second initial temperature is determined as the corrected temperature. If the absolute value of the difference between the second initial temperature and the second neighborhood average temperature is greater than the second preset temperature threshold, the first initial temperature is determined as the corrected temperature. If the absolute value of the difference between the first initial temperature and the first neighborhood average temperature is greater than the second preset temperature threshold, and the absolute value of the difference between the second initial temperature and the second neighborhood average temperature is greater than the second preset temperature threshold, then the average of the first neighborhood average temperature and the second neighborhood average temperature is determined as the corrected temperature.
5. The cooking cavity temperature detection method according to claim 3, characterized in that, The step of determining the correction temperature corresponding to the abnormal temperature point based on the multiple temperature comparison results further includes: When the abnormal temperature point is located in a target overlapping area formed by at least three preset areas, the initial temperature corresponding to the target comparison result is determined as the corrected temperature; the multiple temperature comparison results are the absolute values of the difference between the initial temperature and the corresponding neighborhood average temperature, and the target comparison result is the minimum value among the multiple temperature comparison results.
6. The cooking cavity temperature detection method according to claim 3, characterized in that, The step of correcting the plurality of initial temperature distributions based on the corrected temperature to obtain the plurality of corrected temperature distributions includes: Based on the multiple temperature comparison results, the abnormal temperature in the multiple initial temperature distributions is determined; The anomalous temperature in the plurality of initial temperature distributions is replaced with the corrected temperature to obtain the plurality of corrected temperature distributions.
7. The cooking cavity temperature detection method according to claim 1, characterized in that, The weighted fusion process of the multiple corrected temperature distributions to obtain the target temperature distribution of the target cooking cavity includes: Obtain the first weighting coefficient corresponding to each corrected temperature distribution in the target overlapping region, and the second weighting coefficient corresponding to each corrected temperature distribution in other regions; the other regions are regions other than the target overlapping region among a plurality of preset regions. Based on the first weighting coefficient and the second weighting coefficient, the multiple modified temperature distributions are weighted and fused to obtain the target temperature distribution.
8. The cooking cavity temperature detection method according to claim 1, characterized in that, After performing weighted fusion processing on the multiple corrected temperature distributions to obtain the target temperature distribution of the target cooking cavity, the method further includes: Obtain humidity and steam concentration information of the target cooking cavity during the cooking process; The humidity information and the steam concentration information are fused together to obtain steam compensation information. The preset gradient compensation coefficient and the coordinate information of temperature points in each region of multiple preset regions are fused to obtain the thermal gradient compensation information corresponding to the temperature points in each region. The target temperature distribution, the steam compensation information, and the thermal gradient compensation information are fused to obtain the compensated temperature distribution of the target cooking cavity.
9. A cooking device, characterized in that, The cooking device includes a controller for performing the cooking cavity temperature detection method as described in any one of claims 1-8.
10. A cooking cavity temperature detection system, characterized in that, The system includes a data acquisition terminal and a controller; The acquisition terminal is used to acquire multiple initial temperature distributions of the target cooking cavity during the cooking process and send the multiple initial temperature distributions to the controller; The controller is used to perform the cooking cavity temperature detection method as described in any one of claims 1-8.