CN115717721A - Dry burning prevention method and device, cooking bench and medium - Google Patents
Dry burning prevention method and device, cooking bench and medium Download PDFInfo
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- CN115717721A CN115717721A CN202211559196.9A CN202211559196A CN115717721A CN 115717721 A CN115717721 A CN 115717721A CN 202211559196 A CN202211559196 A CN 202211559196A CN 115717721 A CN115717721 A CN 115717721A
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Abstract
The invention relates to an anti-dry burning method, an anti-dry burning device, a cooking bench and a medium. The method comprises the following steps: acquiring a target hearth image, identifying the target hearth image according to a set identification model, and determining first position information of a hearth; determining temperature information of a pot on the cooking bench based on a thermal imaging mode according to the first position information; and comparing the temperature information of the pot with a pre-configured dry-burning temperature curve to judge whether the pot is in a sentry state. By adopting the method, the problem of false dry combustion can be solved, so that the accuracy of detecting the dry combustion phenomenon is effectively improved.
Description
Technical Field
The invention relates to the technical field of fuel cookers, in particular to an anti-dry burning method, an anti-dry burning device, a cooking bench and a medium.
Background
In the related technology, the temperature sensing probe is added on the cooking bench, whether the dry burning phenomenon exists in the cookware is judged according to the temperature characteristic curve during dry burning and the temperature detected by the temperature sensing probe, and the detected temperature is low in precision and easily causes false alarm due to the fact that the temperature sensing probe is easily interfered by heat sources around the cooking bench in the temperature measuring process and the like.
Disclosure of Invention
The present invention is directed to solving, at least in part, one of the technical problems in the related art. Therefore, one objective of the present invention is to provide a dry-burning prevention method, device, cooking bench and medium for accurately determining whether a pot is in a dry-burning state.
An anti-dry burning method comprises the following steps:
acquiring a target hearth image, identifying the target hearth image according to a set identification model, and determining first position information of a hearth; the target cooking bench image is obtained based on binocular camera shooting;
according to the first position information, determining temperature information of a pot on the cooking bench based on a thermal imaging mode;
and comparing the temperature information of the pot with a pre-configured dry-burning temperature curve to judge whether the pot is in a dry-burning state.
In the above scheme, identifying the target cooking bench image according to the set identification model, and determining the first position information of the cooking bench includes:
determining second position information of the cooktop on a left view of the target cooktop image;
determining first position information according to the second position information and the set transformation matrix; the first position information represents coordinates of the cooking bench in a world coordinate system with the left camera as an origin.
In the above-mentioned scheme, confirm the temperature of pan on the top of a kitchen range based on thermal imaging mode, include:
correcting the temperature information according to the distance information; the distance information represents the distance between the cooking bench and the binocular camera piece.
In the above scheme, the distance information is acquired from the first position information.
In the above scheme, before the target cooking bench image is obtained and the target cooking bench image is identified according to the set identification model, the dry burning prevention method further comprises the following steps:
collecting a plurality of sample hearth images to form a sample data set, and labeling the sample data set;
and inputting the labeled sample data set into a set neural network for training to obtain a set recognition model.
In the above-mentioned scheme, compare the temperature information of pan and the dry combustion method temperature curve of pre-configuration, judge whether the pan is in the dry combustion method state, include:
and if the temperature information of the pot falls into a dry-burning stage curve in the pre-configured dry-burning temperature curves, determining that the pot is in a dry-burning state.
In the above scheme, the dry burning prevention method further comprises:
and sending out prompt information under the condition that the cookware is in a dry-burning state.
An anti-dry heating device comprising:
the identification module is used for acquiring a target cooking bench image, identifying the target cooking bench image according to a set identification model and determining first position information of the cooking bench; the target cooking bench image is obtained based on binocular camera shooting;
the temperature measuring module is used for determining the temperature information of the cookware on the cooking bench based on a thermal imaging mode according to the first position information;
and the judging module is used for comparing the temperature information of the cooker with a pre-configured dry-burning temperature curve and judging whether the cooker is in a dry-burning state.
A cooking bench comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to realize the steps of the dry burning prevention method.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned dry-fire prevention method.
According to the dry-burning prevention method, the dry-burning prevention device, the cooking bench and the medium, the position of the cooking bench is determined by identifying the image of the cooking bench, the position of the cooking bench is measured in a thermal imaging mode, the measured temperature is determined to be the temperature of a pot on the cooking bench but not the temperature of other heat sources, and then the temperature information of the pot is compared with a pre-configured dry-burning temperature curve, so that whether the pot is in a dry-burning state or not can be accurately judged according to the temperature of the pot, misjudgment is avoided, and the accuracy of dry-burning phenomenon identification is improved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a schematic flow chart of a dry-fire prevention method in one embodiment;
FIG. 2 is a schematic flow chart of a dry burning prevention method in another embodiment
FIG. 3 is a schematic diagram of an embodiment of a binocular camera;
FIG. 4 is a schematic diagram of a dry-fire temperature profile in one embodiment;
FIG. 5 is a schematic flow chart of a dry burning prevention method according to an embodiment;
FIG. 6 is a schematic diagram of an exemplary dry-fire prevention process.
Fig. 7 is a block diagram of an embodiment of an anti-dry heating apparatus.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are illustrative and intended to explain the present invention and should not be construed as limiting the present invention.
The following describes details of implementation of the technical solution of the embodiment of the present application in detail.
In one embodiment, as shown in fig. 1, there is provided a dry burning prevention method, which may include the steps of:
step S101, obtaining a target hearth image, identifying the target hearth image according to a set identification model, and determining first position information of a hearth.
In this embodiment, a binocular camera is provided, and the target cooking bench image is obtained by shooting the cooking bench through the binocular camera, wherein the binocular camera is installed and fixed by using a pan-tilt, and then the pan-tilt is fixed at the position around the cooking bench. The cloud platform can rotate wantonly, makes the binocular camera can change the shooting region along with the rotation of cloud platform, and under the general condition, in order to obtain the target top of a kitchen range image, can adorn the cloud platform just to on the wall of top of a kitchen range to adjust the position of binocular camera, make the binocular camera just to the top of a kitchen range.
It can be understood that, in addition to the pixel points belonging to the cooktop, other pixel points may also exist in the target cooktop image obtained here, for example, pixel points belonging to the environment where the cooktop is located. Based on this, the target cooktop image needs to be identified, in this embodiment, the target cooktop image is identified through the set identification model, so as to determine the pixel points belonging to the cooktop in the target cooktop image, where the set identification model is trained to be able to identify the cooktop in the image.
After the pixel points of the cooking bench in the target cooking bench image are determined, the first position information of the cooking bench can be determined by using the relevant parameters of the binocular camera and the spatial relationship of the pixel points of the cooking bench.
The dry burning phenomenon is caused by the fact that a pot is placed on a cooking bench for heating, in practical application, whether the pot is placed on the cooking bench in a target cooking bench image or not can be further identified, and under the condition that the pot is placed on the cooking bench, the position information of the cooking bench is determined.
In one embodiment, as shown in fig. 2, identifying the target cooktop image according to the set identification model, and determining the first position information of the cooktop, includes:
step S201, determining second position information of the cooktop on the left view of the target cooktop image.
Step S202, determining the first position information according to the second position information and the set transformation matrix.
The basic principle of camera positioning is explained first. Referring to fig. 3, fig. 3 shows an imaging schematic diagram of a binocular camera, where P is a cooking bench, OR and OT are optical centers of two cameras, respectively, and imaging points of a point P on photoreceptors of the left and right cameras are P, respectively 1 And P 2 (the imaging plane of the camera is rotationally placed in front of the lens), f is the focal length of the camera,b is the center distance of two cameras, X R Is P 1 Distance from the left side of the imaging field, X T Is P 2 The distance from the right side of the imaging range is recorded as depth information Z.
Suppose P 1 To P 2 Is dis, dis = B- (X) can be obtained R -X T ) According to the similar triangle principle, the proportional relation can be obtained
Through operation, can obtain
In the above formula, the focal length f and the center distance B between the two cameras can be obtained by calibrating the cameras, so that the depth information can be obtained only by obtaining the parallax.
Here, the left view refers to an image photographed by the left camera in the binocular camera, the second position information includes a position of the cooktop on the left view and a parallax d formed by the cooktop on the left and right views, assuming that coordinates of the cooktop in the left view are (X, Y), the first position information is coordinates (X, Y, Z) of the cooktop in a world coordinate system with the optical center of the left camera as an origin, there is a setting transformation matrix Q, wherein,
the following can be obtained through calculation:
finally, it can be calculated that:
wherein in the above formula
And
are equivalent. In the above formula, c x Abscissa of the coordinate system of the left image plane, c y Is the ordinate of the coordinate system of the left image plane, c x ' is the abscissa of the right image plane. It can be determined that in order to accurately find the coordinate Z of the cooking bench in the three-dimensional space, the parameters to be obtained include the focal length f, the parallax d and the camera center distance B, and if the X coordinate and the Y coordinate need to be calculated, the c coordinate needs to be determined x And c y 。
In practical application, f, d, B, c x And c y Can be obtained by calibrating a binocular camera. Camera calibration generally requires placing a special calibration reference (e.g., checkerboard paper) in front of the camera, acquiring an image of the calibration reference by the camera, and calculating internal and external parameters of the camera based on the image. In the process of making the calibration reference object, the position of each feature point on the calibration reference object needs to be accurately determined relative to a world coordinate system, which may be an object coordinate system of the calibration reference object. After the projection positions of the feature points on the shot images are obtained, the internal and external parameters of the camera can be determined. In this embodiment, f, d, c x And c y Initial values can be obtained through three-dimensional calibration, and through three-dimensional calibration optimization, the binocular cameras are placed in parallel in mathematics, and the left camera and the right camera are placed in parallel x 、c y And f are the same.
And S102, determining temperature information of the cookware on the cooking bench based on a thermal imaging mode according to the first position information.
Here, the first position information may be located at a position where temperature measurement is required, and temperature measurement is performed on a position corresponding to the first position information based on a thermal imaging method.
It should be noted that, in practical applications, the temperature of the bottom of the pot is used to determine whether the pot is dry-cooking, so in this embodiment, the temperature of the bottom of the pot is obtained. In addition, the first position information is used for determining the position of temperature measurement, so that the first position information is the position of a heat source of the pot in essence, or the position on the cooking bench close to the bottom of the pot, thereby ensuring that the measured temperature is the temperature of the bottom of the pot and not the temperature of other heat sources.
In practical application, the thermal imaging temperature measuring equipment can also be arranged on the wall right facing the cooking bench, and the infrared radiation of the pot on the cooking bench is converted into a temperature value through measuring the infrared radiation of the pot on the cooking bench, photoelectric conversion, signal processing and other means, so that the temperature of the pot on the cooking bench can be obtained.
In one embodiment, the accuracy of the temperature measurement in the thermal imaging mode is affected by different factors, wherein the distance factor has the greatest influence on the temperature measurement accuracy, and based on this, the temperature of the pot on the cooking bench needs to be corrected by using the distance information, so that the temperature accuracy is improved, and whether the pot is in a dry-burning state can be more accurately judged.
In one embodiment, the distance information is a distance between the cooktop and the binocular camera, wherein the first position information is also obtained through a spatial relationship between the binocular camera and the cooktop, and based on this, Z in the first position information (X, Y, Z) represents depth information, that is, a distance between the cooktop and the binocular camera can be represented, so that the distance information can be determined through a Z coordinate of the first position information.
Step S103, comparing the temperature information of the pot with a pre-configured dry-burning temperature curve, and judging whether the pot is in a dry-burning state.
The pre-configured dry-cooking temperature curve records the temperature variation characteristics of the pot under different states, as shown in fig. 4, and fig. 4 shows a dry-cooking temperature curve. The temperature information of the cooker is compared with a pre-configured dry-burning temperature curve, so that whether the cooker is in a dry-burning state or not can be determined.
In one embodiment, the pre-configured dry-cooking temperature profile can be divided into three different phases, wherein phase a is a temperature profile corresponding to the normal heating state of the pot, phase B is a temperature profile corresponding to the boiling of the liquid in the pot, wherein the temperature is kept constant in phase B, and phase C is a temperature profile corresponding to the dry-cooking of the liquid in the pot, wherein the temperature starts to rise rapidly in phase C.
And comparing the temperature information of the cookware with the temperature curve of the stage C in the pre-configured dry-burning temperature curve, and if the temperature information of the cookware falls into the temperature curve of the stage C, indicating that the cookware is in a dry-burning state.
In one embodiment, when the temperature information of the pot falls into the temperature curve of the stage C in the pre-configured dry-cooking temperature curve, it is detected that the pot is in the dry-cooking state, and a prompt message is sent, for example, a voice prompt message is used to instruct the user to timely turn off the heat source of the cooking bench, or an alarm sound is used to prompt the user. In addition, the heat source of the cooking bench can be controlled to be closed under the condition that the cookware is detected to be in a dry-burning state, so that the cookware is prevented from being damaged due to dry-burning.
In practical application, when the temperature information of the cookware does not fall into the temperature curve of the stage C in the pre-configured dry-burning temperature curve, namely the temperature information of the cookware indicates that the liquid in the cookware is in a normal heating state, or the temperature of the liquid in the cookware in a boiling state is kept unchanged, the cookware is indicated that the dry-burning phenomenon does not occur, and whether the dry-burning phenomenon exists in the cookware is periodically determined at intervals, so that the cookware in the dry-burning state can be timely found.
In one embodiment, as shown in fig. 5, before acquiring the target cooktop image and recognizing the target cooktop image according to the set recognition model, the method includes:
and S501, collecting a plurality of sample hearth images to form a sample data set, and labeling the sample data set.
Here, different cooktop images, for example, cooktop images of different brands, cooktop images of different types, cooktop images photographed at different angles, and the like are collected, and a sample data set is configured by using these cooktop images.
And marking each sample hearth image in the sample data set, wherein pixel points belonging to the hearth in the hearth image are marked, namely the position of the hearth in the hearth image is marked.
Step S502, the labeled sample data set is input into a set neural network for training, and a set recognition model is obtained.
Here, it is assumed that the neural network is a YOLOv5 (young Only Look Once) network, and a structure of the YOLOv5 network can be divided into 3 parts, namely, a backhaul (trunk), a Neck and a Head, wherein the backhaul is mainly used for feature extraction, the Neck is mainly used for mixing and combining features and transmitting the features to a prediction layer, and the Head is mainly used for final prediction output.
In this embodiment, the training method adopted is a supervised learning method, and labeled sample data is input to a set neural network for training. And testing the trained model to obtain different performance parameters of the model, screening out the model with the optimal performance, and determining the model with the optimal performance as a set recognition model.
In practical application, the set recognition model can be input into a main control chip of the cooking bench, and the set recognition model is used for recognizing the target cooking bench image.
In the above embodiment, the target cooking bench image is obtained by shooting through the binocular camera, the target detection is performed on the target cooking bench image by using the set identification model, the position information of the cooking bench is determined, the position needing temperature measurement can be determined through the position information of the cooking bench, the temperature of the cooking bench is measured by using a thermal imaging mode, and the temperature information of the pot is obtained, so that the measured temperature is guaranteed to belong to the temperature of the pot and is not the temperature of other heat sources on the cooking bench, and whether the pot is in a dry-burning state is judged by comparing the temperature information of the pot with a pre-configured dry-burning temperature curve, and further, the dry-burning condition of the pot can be timely and accurately monitored.
In an application embodiment, as shown in fig. 6, fig. 6 shows a schematic flow chart of dry burning prevention.
And 2, identifying the target hearth image by setting an identification model, and determining the position information of the hearth. The position of the cooking bench in the target cooking bench image can be identified by setting the identification model, and the coordinates of the cooking bench in the space are determined by using the related parameters of the binocular camera, so that the position information of the cooking bench is obtained.
And 3, measuring the temperature of the position of the cooking bench by using a thermal imaging mode to obtain the temperature information of the cookware. Here, the position information of the cooking bench points to the position needing temperature measurement, so that the measured temperature can be guaranteed to belong to the temperature of a pot.
And 4, correcting the temperature of the pot by using the distance information. The temperature accuracy measured by the thermal imaging method is easily influenced by the distance, and in order to improve the temperature accuracy, the temperature of the cookware is corrected by using distance information, wherein the distance information is depth information in the position information of the cooking bench.
And 5, comparing the temperature information of the cookware with a pre-configured dry-burning temperature curve. Wherein, mainly comparing whether the temperature information of the pot falls into the rising curve of the pre-configured dry-burning temperature curve, wherein the rising curve is the temperature curve of the stage C as shown in figure 4, when the temperature information of the pot conforms to the rising curve of the pre-configured dry-burning temperature curve, the pot is in the dry-burning state, and executing the step 6; when the temperature information of the pot does not conform to the rising curve of the pre-configured dry-burning temperature curve, the pot is not in a dry-burning state, and the step 1 is executed after the interval set time length.
And 6, sending out early warning information. The early warning information can prompt the user to process the cookware in the dry-burning state, such as to remove the cookware in the dry-burning state from the cooking bench or to turn off the heat source of the cooking bench.
In one embodiment, an anti-dry heating apparatus is provided, and as shown in fig. 7, the anti-dry heating apparatus 700 may include: an identification module 701, a temperature measurement module 702 and a judgment module 703.
The identification module 701 is used for acquiring a target cooking bench image, identifying the target cooking bench image according to a set identification model and determining first position information of the cooking bench; the target cooking bench image is obtained based on binocular camera shooting; the temperature measuring module 702 is used for determining the temperature information of the cookware on the cooking bench based on a thermal imaging mode according to the first position information; the determining module 703 is configured to compare the temperature information of the pot with a pre-configured dry-cooking temperature curve, and determine whether the pot is in a dry-cooking state.
In one embodiment, the identifying module 701 is specifically configured to determine second location information of the cooktop on the left view of the target cooktop image; determining first position information according to the second position information and a set transformation matrix; the first position information represents coordinates of the cooking bench in a world coordinate system with the left camera as an origin.
In one embodiment, the temperature measurement module 702 is specifically configured to correct the temperature information according to the distance information; the distance information represents the distance between the cooking bench and the binocular camera.
In one embodiment, the distance information is obtained from the first location information.
In one embodiment, before acquiring the target cooktop image and recognizing the target cooktop image according to the set recognition model, the anti-dry heating apparatus further includes:
the marking module is used for forming a sample data set by the plurality of sample hearth images and marking the sample data set;
and the training module is used for inputting the labeled sample data set into a set neural network for training to obtain a set recognition model.
In one embodiment, the determining module 703 is specifically configured to determine that the pot is in the dry-cooking state if the temperature information of the pot falls into a dry-cooking stage curve in the pre-configured dry-cooking temperature curve.
In one embodiment, the dry-heating preventing device further comprises:
and the prompting module is used for sending out prompting information under the condition that the cookware is in a dry-burning state.
It should be noted that the logic and/or steps represented in the flowcharts or otherwise described herein, such as an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following technologies, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. An anti-dry burning method is characterized by comprising the following steps:
acquiring a target cooking bench image, identifying the target cooking bench image according to a set identification model, and determining first position information of the cooking bench; the target cooking bench image is obtained based on binocular camera shooting;
according to the first position information, determining temperature information of a pot on the cooking bench based on a thermal imaging mode;
and comparing the temperature information of the pot with a pre-configured dry-burning temperature curve, and judging whether the pot is in a dry-burning state.
2. The dry burning prevention method according to claim 1, wherein the identifying the target cooktop image according to the set identification model, and determining the first position information of the cooktop comprises:
determining second position information of the cooktop on a left view of the target cooktop image;
determining the first position information according to the second position information and a set transformation matrix; the first position information represents coordinates of the cooking bench in a world coordinate system with the left camera as an origin.
3. The method of claim 1, wherein determining the temperature of the pot on the cooktop based on the thermal imaging modality comprises:
correcting the temperature information according to the distance information; the distance information represents the distance between the cooking bench and the binocular camera.
4. The dry-burning prevention method according to claim 3, wherein the distance information is obtained from the first position information.
5. The dry burning prevention method according to claim 1, wherein before the obtaining of the target cooktop image and the recognition of the target cooktop image according to the set recognition model, the method further comprises:
collecting a plurality of sample hearth images to form a sample data set, and labeling the sample data set;
and inputting the labeled sample data set into a set neural network for training to obtain the set recognition model.
6. The method of claim 1, wherein comparing the temperature information of the pot with a pre-configured dry-cooking temperature curve to determine whether the pot is in a dry-cooking state comprises:
and if the temperature information of the pot falls into a dry-burning stage curve in a pre-configured dry-burning temperature curve, determining that the pot is in a dry-burning state.
7. The method of claim 1, further comprising:
and sending out prompt information under the condition that the cookware is in a dry-burning state.
8. An anti-dry heating device, comprising:
the identification module is used for acquiring a target cooking bench image, identifying the target cooking bench image according to a set identification model and determining first position information of the cooking bench; the target cooking bench image is obtained based on binocular camera shooting;
the temperature measuring module is used for determining the temperature information of the cookware on the cooking bench based on a thermal imaging mode according to the first position information;
and the judging module is used for comparing the temperature information of the cooker with a pre-configured dry-burning temperature curve and judging whether the cooker is in a dry-burning state or not.
9. A hob comprising a memory and a processor, said memory storing a computer program, characterized in that said processor, when executing said computer program, realizes the steps of the dry burning prevention method according to any one of the claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the dry-fire protection method according to any one of claims 1 to 7.
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| CN202211559196.9A CN115717721A (en) | 2022-12-06 | 2022-12-06 | Dry burning prevention method and device, cooking bench and medium |
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| CN202211559196.9A CN115717721A (en) | 2022-12-06 | 2022-12-06 | Dry burning prevention method and device, cooking bench and medium |
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| CN202211559196.9A Pending CN115717721A (en) | 2022-12-06 | 2022-12-06 | Dry burning prevention method and device, cooking bench and medium |
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