CN117715257A - Flat intelligent heating method, device, equipment and storage medium - Google Patents
Flat intelligent heating method, device, equipment and storage medium Download PDFInfo
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- CN117715257A CN117715257A CN202410161266.8A CN202410161266A CN117715257A CN 117715257 A CN117715257 A CN 117715257A CN 202410161266 A CN202410161266 A CN 202410161266A CN 117715257 A CN117715257 A CN 117715257A
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 433
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000012360 testing method Methods 0.000 claims description 95
- 239000000463 material Substances 0.000 claims description 35
- 238000003066 decision tree Methods 0.000 claims description 15
- 230000001788 irregular Effects 0.000 claims description 15
- 150000003839 salts Chemical class 0.000 claims description 7
- 238000007689 inspection Methods 0.000 claims description 6
- 239000003595 mist Substances 0.000 claims description 6
- 238000005192 partition Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 12
- 238000000638 solvent extraction Methods 0.000 abstract description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 12
- 229910052742 iron Inorganic materials 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 239000010935 stainless steel Substances 0.000 description 4
- 229910001220 stainless steel Inorganic materials 0.000 description 4
- 235000021156 lunch Nutrition 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 229910045601 alloy Inorganic materials 0.000 description 1
- 239000000956 alloy Substances 0.000 description 1
- 239000000919 ceramic Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 235000012054 meals Nutrition 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
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Abstract
The invention belongs to the technical field of panel heating, and discloses an intelligent panel heating method, device, equipment and storage medium. The method comprises the following steps: determining a bottom surface heated area of the object to be heated at the target temperature according to the heated area prediction model and a contact area between the object to be heated and the heating surface of the flat plate; determining the bottom surface range of the object to be heated according to the contact area; when the heated area of the bottom surface does not cover the bottom surface range, determining that the unheated area exists; dividing the bottom surface of the object to be heated into heating areas with different grades according to the unheated area and the bottom surface heated area; determining the heating temperature of the heating area according to the target temperature and the grade of the heating area; and heating the object to be heated according to the heating temperature of the heating area. Through the mode, the object to be heated is heated in a partitioning mode, so that the object to be heated can be completely heated, meanwhile, the heating uniformity is guaranteed, and the heating effect is improved.
Description
Technical Field
The present invention relates to the field of panel heating technologies, and in particular, to a panel intelligent heating method, apparatus, device, and storage medium.
Background
At present, more and more kitchen appliances adopt a flat heating mode, for example: electromagnetic ovens, flat microwave ovens, electromagnetic cooktops, etc., as articles such as kitchen ware, tableware, etc. are often heated, certain deformations will usually occur at the bottom, for example: the bottom of the pan is deformed, and is difficult to be heated completely at the moment, so that the heating effect is affected.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a flat plate intelligent heating method, device, equipment and storage medium, and aims to solve the technical problem that deformation of the bottom of a kitchen ware is difficult to be heated completely and the flat plate heating effect is affected in the prior art.
In order to achieve the above purpose, the invention provides a panel intelligent heating method, which comprises the following steps:
determining a bottom surface heated area of an object to be heated at a target temperature according to a heated area prediction model and a contact area between the object to be heated and a flat heating surface;
determining the bottom surface range of the object to be heated according to the contact area;
determining that an unheated zone exists when the floor heated zone does not cover the floor extent;
Dividing the bottom surface of the object to be heated into heating areas with different grades according to the unheated area and the bottom surface heated area;
determining the heating temperature of the heating area according to the target temperature and the grade of the heating area;
and heating the object to be heated according to the heating temperature of the heating area.
Optionally, the determining the heated area of the bottom surface of the object to be heated at the target temperature according to the heated area prediction model and the contact area between the object to be heated and the heating surface of the flat plate includes:
acquiring the weight of the object to be heated, and determining the density of the object to be heated according to the bottom surface range and the weight of the object to be heated;
determining the material quality of the object to be heated according to the density of the object to be heated;
selecting a target heated region prediction model corresponding to the material from the heated region prediction models according to the material of the object to be heated;
and inputting the target temperature, the shape and the area of the contact area into the target heated area prediction model to obtain the heated area of the bottom surface of the object to be heated.
Optionally, before determining the heated area of the bottom surface of the object to be heated at the target temperature according to the heated area prediction model and the contact area between the object to be heated and the heating surface of the flat plate, the method further includes:
Acquiring test data of a test heating object, wherein the test data at least comprises a test contact area, a test heating temperature and a test heating area corresponding to the test contact area at the test heating temperature;
classifying the test data according to the material of the test heating object to obtain a test data set;
generating a decision tree corresponding to the test data set based on the test data set;
determining feature data in the test data set based on the decision tree;
and constructing a heated area prediction model corresponding to different materials based on the characteristic data of the test data set and the decision tree.
Optionally, the dividing the bottom surface of the object to be heated into heating areas with different grades according to the unheated area and the heated area of the bottom surface includes:
determining a first heating area according to the unheated area, wherein the grade of the first heating area is a first grade;
determining a second heating area according to the bottom surface heated area and the contact area, wherein the grade of the second heating area is a second grade;
and determining a third heating area according to the contact area and the second heating area, wherein the grade of the third heating area is a third grade.
Optionally, the determining the heating temperature of the heating area according to the target temperature and the grade of the heating area includes:
determining the heating coefficient of the heating area according to the grade of the heating area, wherein the heating coefficient of the first heating area is larger than the heating coefficient of the second heating area, and the heating coefficient of the second heating area is larger than the heating coefficient of the third heating area;
and determining the heating temperature of the heating area according to the heating coefficient of the heating area and the target temperature.
Optionally, the determining the bottom surface range of the object to be heated according to the contact area includes:
determining the number of arc sides according to the shape of the contact area;
when the number of the arc sides is greater than or equal to a preset number threshold, connecting adjacent arc sides to obtain a connection shape, and determining whether the connection shape is regular;
when the connection shape is regular, determining that the connection shape is the bottom surface range of the object to be heated;
and when the connecting shape is irregular, determining the junction point of the irregular part and the regular part in the connecting shape, and connecting the junction point according to the shape of the regular part to obtain the bottom surface range.
Optionally, the intelligent flat panel heating method further includes:
detecting the flat heating surface, and determining whether the flat heating surface meets three-proofing requirements, wherein the three-proofing requirements at least comprise mould proofing requirements, moisture proofing requirements and salt mist proofing requirements;
and stopping heating the object to be heated when the flat heating surface does not meet the three-proofing requirement, and outputting early warning information to perform safety inspection.
In addition, in order to achieve the above object, the present invention also provides a flat panel intelligent heating device, which includes:
the heating prediction module is used for determining a bottom surface heating area of the object to be heated at the target temperature according to the heating area prediction model and a contact area between the object to be heated and the heating surface of the flat plate;
the heating prediction module is further used for determining the bottom surface range of the object to be heated according to the contact area;
the area dividing module is used for determining that an unheated area exists when the heated area of the bottom surface does not cover the range of the bottom surface;
the region dividing module is further configured to divide the bottom surface of the object to be heated into heating regions with different levels according to the unheated region and the bottom surface heated region;
The zone heating module is used for determining the heating temperature of the heating zone according to the target temperature and the grade of the heating zone;
the partition heating module is further used for heating the object to be heated according to the heating temperature of the heating area.
In addition, in order to achieve the above object, the present invention also provides a flat panel intelligent heating apparatus, which includes: a memory, a processor, and a tablet smart heating program stored on the memory and executable on the processor, the tablet smart heating program configured to implement the steps of the tablet smart heating method as described above.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon a flat panel intelligent heating program which, when executed by a processor, implements the steps of the flat panel intelligent heating method as described above.
According to the invention, according to a heated area prediction model and a contact area between an object to be heated and a flat heating surface, determining a heated area of the bottom surface of the object to be heated at a target temperature, determining a bottom surface range of the object to be heated according to the contact area, determining an unheated area when the heated area of the bottom surface does not cover the bottom surface range, and dividing the bottom surface of the object to be heated into different grades of heated areas according to the unheated area and the heated area of the bottom surface; and determining the heating temperature of the heating area according to the target temperature and the grade of the heating area, and heating the object to be heated according to the heating temperature of the heating area. Because articles such as kitchen ware and tableware are easy to deform at the bottom after being heated for many times, the articles are difficult to be heated completely, and the heating effect of a flat plate is affected.
Drawings
FIG. 1 is a schematic diagram of a flat panel intelligent heating apparatus of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of the intelligent flat panel heating method of the present invention;
FIG. 3 is a schematic view of a contact area of an embodiment of a panel intelligent heating method according to the present invention;
FIG. 4 is a schematic diagram showing the connection shape of an embodiment of the intelligent flat panel heating method according to the present invention;
FIG. 5 is a schematic view of the bottom surface range of an embodiment of the intelligent flat panel heating method of the present invention;
FIG. 6 is a schematic flow chart of a second embodiment of the intelligent flat panel heating method of the present invention;
FIG. 7 is a schematic flow chart of a third embodiment of a panel intelligent heating method according to the present invention;
fig. 8 is a block diagram of a first embodiment of a flat panel intelligent heating apparatus according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a flat panel intelligent heating apparatus in a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the flat panel intelligent heating apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (Wi-Fi) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable nonvolatile Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Those skilled in the art will appreciate that the configuration shown in fig. 1 is not limiting of a flat panel intelligent heating apparatus and may include more or fewer components than shown, or may combine certain components, or may be arranged in different components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a tablet smart heater may be included in the memory 1005 as one type of storage medium.
In the flat panel intelligent heating apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 in the flat panel intelligent heating apparatus of the present invention may be disposed in the flat panel intelligent heating apparatus, and the flat panel intelligent heating apparatus invokes the flat panel intelligent heating program stored in the memory 1005 through the processor 1001 and executes the flat panel intelligent heating method provided by the embodiment of the present invention.
The embodiment of the invention provides a panel intelligent heating method, referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the panel intelligent heating method.
In this embodiment, the intelligent flat panel heating method includes the following steps:
Step S10: and determining the bottom surface heated area of the object to be heated at the target temperature according to the heated area prediction model and the contact area between the object to be heated and the heating surface of the flat plate.
It should be noted that, the execution body of the embodiment may be a flat intelligent heating device, in which a flat intelligent heating program is provided, and by running the flat intelligent heating program, complete heating is achieved, and may also be other terminals with computing capabilities, which is not limited in this embodiment, and the flat intelligent heating device is taken as an example for illustration.
It will be appreciated that the object to be heated, i.e. the object which is currently to be heated using a flat plate, may be a kitchen appliance, for example: pans, steamers, marmite, etc., but also tableware, such as: microwave lunches and the like are generally articles with flat bottom surfaces and relatively large areas, and the embodiment is not limited thereto. The flat heating surface refers to a surface of the flat plate for heating, namely a surface on which an object to be heated is placed, and a contact area between the object to be heated and the flat heating surface is a contact area between the object to be heated and the flat heating surface, if the bottom of the object to be heated is deformed, the contact area is not a complete bottom surface of the object to be heated.
It should be understood that the target temperature refers to the temperature to which heating is required, for example: different use scenarios typically require different target temperatures to be set at 60 ℃, 80 ℃, for example: when water needs to be boiled, the target temperature may be set to 100 ℃, which is not limited in this embodiment and may be set according to actual requirements.
The bottom surface heated region refers to a region in which the bottom surface of the object to be heated can be heated at the target temperature. The heated region prediction model refers to a model which is constructed and can predict a heated region, and in the embodiment, the heated region prediction model is used for predicting the heated region of the bottom surface of the object to be heated at the target temperature.
Further, the step S10 includes: acquiring the weight of the object to be heated, and determining the density of the object to be heated according to the bottom surface range and the weight of the object to be heated; determining the material quality of the object to be heated according to the density of the object to be heated; selecting a target heated region prediction model corresponding to the material from the heated region prediction models according to the material of the object to be heated; and inputting the target temperature, the shape and the area of the contact area into the target heated area prediction model to obtain the heated area of the bottom surface of the object to be heated.
It will be understood that the weight of the object to be heated generally refers to the weight of the object to be heated itself, and the range of the bottom surface of the object to be heated refers to the entire area range of the bottom surface of the object to be heated. The object to be heated may be directly weighed when it is placed on the flat heating surface, but since the object to be heated generally has contents when in use, for example: the water is contained in the pan, and the meal is contained in the lunch box, so that the weight of the object to be heated can be recorded in advance to ensure the accuracy of data, and the contact area and the bottom surface range are used for distinguishing during recording, that is, one weight can correspond to one contact area and one bottom surface range, so that the weight of the object to be heated can be determined according to the contact area and the bottom surface range of the object to be heated, for example: the contact area of the recorded object a is a1, the bottom surface range is a2, and the weight is a3, and if the contact area of the object to be heated is a1, the bottom surface range is a2, the weight of the object to be heated is a3. When the recorded contact area changes, the recorded contact area should be updated in time.
It should be understood that the density of the object to be heated is estimated/calculated in the present embodiment, not the actual density, and the size of the object to be heated may be estimated according to the bottom surface range, and the volume range of the object to be heated may be obtained according to the conventional thickness experience value, so that the density range of the object to be heated, that is, the density range to be obtained in the present embodiment, may be estimated according to the calculated volume range and weight. The material of the object to be heated is calculated/estimated in this embodiment, and may be iron, stainless steel, ceramic, alloy, etc., which is not limited in this embodiment, and the material with the closest density is usually found according to the obtained density range, that is, the material of the object to be heated, for example: the obtained density range is closest to the density of iron, and the material of the object to be heated can be considered as iron.
It should be noted that, due to different heat conductive properties of different materials, for example: at normal temperature, the heat conductivity of stainless steel is generally between 16 and 27W/mK, the heat conductivity of iron is between 50 and 80W/mK, the heat conductivity of stainless steel is about 1/3 of that of iron, and the stainless steel can transfer heat more effectively than the iron, so that objects to be heated with different materials are different in bottom heated areas at target temperatures. The target heated area prediction model refers to a heated area prediction model most suitable for an object to be heated, and is generally determined by the material of the object to be heated. According to the embodiment, different heated region prediction models are constructed according to different materials, so that the heated region prediction model corresponding to the material can be found out to serve as a target heated region prediction model according to the material of the object to be heated.
Further, the specific steps of constructing the heated area prediction model include: acquiring test data of a test heating object, wherein the test data at least comprises a test contact area, a test heating temperature and a test heating area corresponding to the test contact area at the test heating temperature; classifying the test data according to the material of the test heating object to obtain a test data set; generating a decision tree corresponding to the test data set based on the test data set; determining feature data in the test data set based on the decision tree; and constructing a heated area prediction model corresponding to different materials based on the characteristic data of the test data set and the decision tree.
It will be appreciated that constructing the heated region prediction model requires training using a large amount of data, which is obtained through testing in the present embodiment. The test data is the related data obtained during the test, and at least comprises a test contact area, a test heating temperature and a test heating area corresponding to the test contact area at the test heating temperature, wherein the test data usually records the material of a test heating object. The test heating object is the object used for testing, and the test heating object may have different materials, which is not limited in this embodiment. The test contact area is a contact area set during testing, and the test heating object may set different test contact areas, which is not limited in this embodiment. The test heating temperature, that is, the heating temperature set at the time of the test, may be set to a usual heating temperature, which is not limited in this embodiment. The heated area for testing, i.e. the heated area of the test heating object determined during testing, usually results in different heated areas for testing due to different contact areas for testing and different heating temperatures for testing. Table 1 is an example of test data.
TABLE 1
It should be understood that, since the test heating objects have different materials, in this embodiment, the test data of the test heating objects with the same material are divided into a group, that is, test data groups, and each test data group constructs a heated area prediction model, so that a heated area prediction model corresponding to the different materials can be obtained.
It should be noted that, in this embodiment, the data in the test data sets are trained by using an isolated forest algorithm to generate a plurality of decision trees, and each test data set corresponds to one decision tree, or other suitable algorithms may be used, which is not limited in this embodiment. The characteristic data refers to representative characteristics in the data, and the representative characteristics are selected for model construction according to the trained decision tree, so that the complexity and the calculated amount of the model are reduced.
It can be understood that a part of data can be divided from the test data and used for evaluating the trained model, analyzing indexes such as accuracy, recall rate, weighted harmonic mean (F-Measure) and the like of the model, knowing the performance and effect of the model, and if the evaluated performance and effect of the model cannot reach the application standard, optimizing and adjusting the model, and improving the accuracy and performance of the model.
It should be understood that the contact area may be defined by using a shape and an area, so when the model is trained, the embodiment generally converts the test contact area into a form of an area and a shape, and the obtained heated area prediction model is constructed at this time, and is input as a temperature, an area and a shape of the contact area, and output as a heated area, that is, after the target heated area prediction model of the object to be heated is determined, the target temperature and the shape and the area of the corresponding contact area may be input to obtain the corresponding heated area of the bottom surface.
In specific implementation, the heated area of the bottom surface of the object to be heated at the target temperature is predicted by using the constructed heated area prediction model so as to determine the heating scheme later.
Step S20: and determining the bottom surface range of the object to be heated according to the contact area.
Further, the step S20 includes: determining the number of arc sides according to the shape of the contact area; when the number of the arc sides is larger than or equal to a preset threshold value, connecting adjacent arc sides to obtain a connection shape, and determining whether the connection shape is regular; when the connection shape is regular, determining that the connection shape is the bottom surface range of the object to be heated; and when the connecting shape is irregular, determining the junction point of the irregular part and the regular part in the connecting shape, and connecting the junction point according to the shape of the regular part to obtain the bottom surface range.
Note that, the arcuate edge is an edge having an arc, and the straight edge is an edge having a straight line, as shown in fig. 3, A, B, C in the drawing is an arcuate edge, and D, E, F, G is a straight line edge. The preset number threshold is a set number threshold, if the number of the arc sides is greater than or equal to the preset number threshold, the bottom surface shape is considered to be circular or elliptical, if the number of the arc sides is less than the preset number threshold, the bottom surface shape is considered to be square, and the preset number threshold is generally set to 2, which is not limited in this embodiment. The different shapes of the bottom surface need to be determined in different ways, and this embodiment is illustrated with a circular/elliptical bottom surface as an example. The connection shape is a shape obtained by preliminary connection, in this embodiment, adjacent arc sides are connected first, in fig. 3, a is adjacent to B, B is adjacent to C, and A, B, C is connected, so that the connection shape shown in fig. 4 can be obtained. The connection of the arc sides refers to connection according to the radian of the arc sides, and the endpoints are not directly connected.
It can be understood that after the preliminary connection is completed to obtain the connection shape, whether the connection shape is regular needs to be judged, if so, the current connection shape is the bottom surface shape of the object to be heated, so that the bottom surface range of the object to be heated can be obtained, and if irregular, the connection needs to be further carried out. The irregular portion is still irregular, the regular portion is the regular portion, the point of the junction between the regular portion and the irregular portion is the junction point, the junction points are connected according to the shape (radian) of the regular portion, the obtained shape is the shape of the bottom surface, and therefore the bottom surface range is determined. The connection shape in fig. 4 is irregular, and has an irregular portion and a regular portion, k1 and k2 are boundary points between the irregular portion and the regular portion, and the bottom surface range shown in fig. 5 can be obtained by connecting k1 and k2 in accordance with the shape of the regular portion.
Step S30: and determining that an unheated area exists when the heated area of the bottom surface does not cover the bottom surface.
It should be understood that unheated areas refer to areas that are difficult to heat under conventional heating schemes, meaning that the floor area is not fully heated if the floor heated area does not cover the floor area, there are unheated areas, and that the floor area is fully heated if the floor heated area covers the floor area, there are no unheated areas.
Step S40: dividing the bottom surface of the object to be heated into heating areas with different grades according to the unheated area and the bottom surface heated area.
It should be noted that, since there are unheated areas and heated areas on the bottom surface, in this embodiment, the bottom surface of the object to be heated is divided into different levels of heated areas, different levels of heated areas are set to different heating temperatures, and in general, the unheated areas need a higher heating temperature so as to be heated, and the heated areas on the bottom surface can be heated according to the target temperature, so that the bottom surface of the object to be heated can be heated completely by zone heating.
It will be appreciated that the heated area of the bottom surface may be further divided into different levels in order to achieve uniform heating.
Step S50: and determining the heating temperature of the heating area according to the target temperature and the grade of the heating area.
Step S60: and heating the object to be heated according to the heating temperature of the heating area.
In a specific implementation, according to the grade of the heating area, setting a corresponding heating temperature for the heating area, and heating the object to be heated in a partitioning manner.
In this embodiment, according to a heated area prediction model and a contact area between an object to be heated and a heating surface of a flat plate, determining a heated area of a bottom surface of the object to be heated at a target temperature, determining a bottom surface range of the object to be heated according to the contact area, determining that an unheated area exists when the heated area of the bottom surface does not cover the bottom surface range, and dividing the bottom surface of the object to be heated into heated areas of different grades according to the unheated area and the heated area of the bottom surface; and determining the heating temperature of the heating area according to the target temperature and the grade of the heating area, and heating the object to be heated according to the heating temperature of the heating area. Because articles for kitchen utensils and appliances such as tableware appear the bottom deformation easily after heating many times, be difficult to be heated completely, influence dull and stereotyped heating effect, this embodiment predicts the heating condition of treating the heating object to treat the heating object according to the heating temperature that different regional needs and carry out the subregion heating, guarantee that it can be heated completely, guarantee simultaneously to be heated evenly, improve heating effect.
Referring to fig. 6, fig. 6 is a schematic flow chart of a second embodiment of a panel intelligent heating method according to the present invention.
Based on the above embodiment, the step S40 includes:
step S401: and determining a first heating area according to the unheated area, wherein the grade of the first heating area is a first grade.
It should be noted that the first heating area is generally slightly larger than the unheated area, so as to prevent the first heating area from being unheated when the first heating area is directly heated. The present embodiment sets the first heating region to the first level.
Step S402: and determining a second heating area according to the heated area and the contact area of the bottom surface, wherein the grade of the second heating area is a second grade.
It will be appreciated that since the heated area of the bottom surface is generally larger than the contact area, and the excess portion thereof is generally heated by heat conduction, this area should be set to a higher temperature for uniform heating, and this embodiment takes this area as the second heating area and sets it to the second level, and furthermore, since the first heating area may divide a part of the heated area of the bottom surface when set, the second heating area needs to remove the portion involved in the first heating area when set, and needs to divide a part of the contact area so that the second heating area can heat normally.
Step S403: and determining a third heating area according to the contact area and the second heating area, wherein the grade of the third heating area is a third grade.
It should be understood that the remaining portion is taken as a third heating zone and is set to a third level. The entire third heating zone can generally be in direct contact with the planar heating surface, while only a portion of the second heating zone and the first heating zone can be in direct contact with the planar heating surface.
Further, the step S50 includes:
step S501: and determining the heating coefficient of the heating area according to the grade of the heating area, wherein the heating coefficient of the first heating area is larger than the heating coefficient of the second heating area, and the heating coefficient of the second heating area is larger than the heating coefficient of the third heating area.
It should be noted that different grades correspond to different heating coefficients, for example: the heating coefficient of the first level is R1, the heating coefficient of the second level is R2, the heating coefficient of the third level is R3, the specific value of the heating coefficient needs to be set according to the actual requirement, if a higher heating temperature is required, a larger heating coefficient needs to be set, in this embodiment, the first level needs a higher heating temperature than the second level, and the second level needs a higher heating temperature than the third level, therefore, the heating coefficient of the first level is greater than the heating coefficient of the second level, the heating coefficient of the second level is greater than the heating coefficient of the third level, that is, the heating coefficient of the first heating region is greater than the heating coefficient of the second heating region, and the heating coefficient of the second heating region is greater than the heating coefficient of the third heating region.
Step S502: and determining the heating temperature of the heating area according to the heating coefficient of the heating area and the target temperature.
It will be appreciated that the heating coefficients of the heating zones are multiplied by the target temperature to obtain the heating temperature of each heating zone, that is, the heating temperature=heating coefficient×the target temperature, that is, the heating coefficient of the first heating zone is multiplied by the target temperature to obtain the heating temperature of the first heating zone, the heating coefficient of the second heating zone is multiplied by the target temperature to obtain the heating temperature of the second heating zone, and the heating coefficient of the third heating zone is multiplied by the target temperature to obtain the heating temperature of the third heating zone.
Further, if the bottom surface heated area can cover the bottom surface range, the bottom surface can be divided into two areas for partition heating, so that uniform heating is ensured.
In this embodiment, according to the unheated area, a first heating area is determined, the level of the first heating area is a first level, according to the heated area and the contact area on the bottom surface, a second heating area is determined, the level of the second heating area is a second level, according to the contact area and the second heating area, a third heating area is determined, the level of the third heating area is a third level, according to the level of the heating area, the heating coefficient of the heating area is determined, the heating coefficient of the first heating area is greater than the heating coefficient of the second heating area, the heating coefficient of the second heating area is greater than the heating coefficient of the third heating area, and according to the heating coefficient of the heating area and the target temperature, the heating temperature of the heating area is determined. Because articles for kitchen utensils and appliances such as tableware appear the bottom deformation easily after heating many times, be difficult to be heated completely, influence dull and stereotyped heating effect, this embodiment predicts the heating condition of treating the heating object to treat the heating object according to the heating temperature that different regional needs and carry out the subregion heating, guarantee that it can be heated completely, guarantee simultaneously to be heated evenly, improve heating effect.
Referring to fig. 7, fig. 7 is a schematic flow chart of a third embodiment of a panel intelligent heating method according to the present invention.
Based on the above embodiment, after the step S60, the method further includes:
step S701: detecting the flat heating surface to determine whether the flat heating surface meets the three-proofing requirements, wherein the three-proofing requirements at least comprise mould proofing requirements, moisture proofing requirements and salt mist proofing requirements.
It should be noted that, because the electronic device needs to meet the requirement of three protection, that is, the requirement of three protection, the embodiment can detect the heating surface of the flat plate in real time to determine whether the heating surface meets the requirement of three protection. The three-proofing requirements include mildew proofing requirements, moisture proofing requirements and salt mist proofing requirements, that is, the flat heating surface is at least capable of mildew proofing requirements, moisture proofing and salt mist proofing.
Step S702: and stopping heating the object to be heated when the flat heating surface does not meet the three-proofing requirement, and outputting early warning information to perform safety inspection.
It can be understood that the early warning information refers to early warning of heating safety, can be in a voice broadcast mode, and can also send a corresponding reminding message to an intelligent terminal (such as a mobile phone) of a user, and the embodiment does not limit the method. When the heating surface of the flat plate does not meet the three-proofing requirement, the potential safety hazard is considered to exist, heating is stopped, and early warning information is output so as to facilitate the inspection of safety personnel/safety team; when the heating surface of the flat plate meets the three-proofing requirement, the heating can be normally performed.
In this embodiment, the flat heating surface is detected, whether the flat heating surface meets the requirements of three protection, wherein the requirements of three protection at least comprise mould protection requirements, moisture protection requirements and salt mist protection requirements, and when the flat heating surface does not meet the requirements of three protection, the heating of the object to be heated is stopped, and early warning information is output to perform safety inspection. The embodiment detects the flat heating surface in real time, confirms whether the flat heating surface meets the three-proofing requirement, and timely performs early warning when the flat heating surface does not meet the three-proofing requirement so as to further check and maintain and ensure the heating safety.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium is stored with a flat panel intelligent heating program, and the flat panel intelligent heating program realizes the steps of the flat panel intelligent heating method when being executed by a processor.
Referring to fig. 8, fig. 8 is a block diagram illustrating a first embodiment of a flat panel intelligent heating apparatus according to the present invention.
As shown in fig. 8, a flat panel intelligent heating apparatus according to an embodiment of the present invention includes:
the heating prediction module 10 is configured to determine a bottom surface heating area of the object to be heated at the target temperature according to the heating area prediction model and a contact area between the object to be heated and the heating surface of the flat plate.
The heat receiving prediction module 10 is further configured to determine a bottom surface range of the object to be heated according to the contact area.
The area dividing module 20 is configured to determine that an unheated area exists when the heated area of the bottom surface does not cover the bottom surface.
The area dividing module 20 is further configured to divide the bottom surface of the object to be heated into heating areas with different levels according to the unheated area and the heated area of the bottom surface.
The zone heating module 30 is configured to determine a heating temperature of the heating zone according to the target temperature and the level of the heating zone.
The zone heating module 30 is further configured to heat the object to be heated according to a heating temperature of the heating area.
In this embodiment, according to a heated area prediction model and a contact area between an object to be heated and a heating surface of a flat plate, determining a heated area of a bottom surface of the object to be heated at a target temperature, determining a bottom surface range of the object to be heated according to the contact area, determining that an unheated area exists when the heated area of the bottom surface does not cover the bottom surface range, and dividing the bottom surface of the object to be heated into heated areas of different grades according to the unheated area and the heated area of the bottom surface; and determining the heating temperature of the heating area according to the target temperature and the grade of the heating area, and heating the object to be heated according to the heating temperature of the heating area. Because articles for kitchen utensils and appliances such as tableware appear the bottom deformation easily after heating many times, be difficult to be heated completely, influence dull and stereotyped heating effect, this embodiment predicts the heating condition of treating the heating object to treat the heating object according to the heating temperature that different regional needs and carry out the subregion heating, guarantee that it can be heated completely, guarantee simultaneously to be heated evenly, improve heating effect.
In an embodiment, the heat prediction module 10 is further configured to obtain a weight of the object to be heated, and determine a density of the object to be heated according to a bottom surface range and the weight of the object to be heated;
determining the material quality of the object to be heated according to the density of the object to be heated;
selecting a target heated region prediction model corresponding to the material from the heated region prediction models according to the material of the object to be heated;
and inputting the target temperature, the shape and the area of the contact area into the target heated area prediction model to obtain the heated area of the bottom surface of the object to be heated.
In an embodiment, the heat prediction module 10 is further configured to obtain test data of a test heating object, where the test data includes at least a test contact area, a test heating temperature, and a test heated area corresponding to the test contact area at the test heating temperature;
classifying the test data according to the material of the test heating object to obtain a test data set;
generating a decision tree corresponding to the test data set based on the test data set;
determining feature data in the test data set based on the decision tree;
And constructing a heated area prediction model corresponding to different materials based on the characteristic data of the test data set and the decision tree.
In an embodiment, the area dividing module 20 is further configured to determine a first heating area according to the unheated area, where the level of the first heating area is a first level;
determining a second heating area according to the bottom surface heated area and the contact area, wherein the grade of the second heating area is a second grade;
and determining a third heating area according to the contact area and the second heating area, wherein the grade of the third heating area is a third grade.
In an embodiment, the zone heating module 30 is further configured to determine a heating coefficient of the heating zone according to the level of the heating zone, where the heating coefficient of the first heating zone is greater than the heating coefficient of the second heating zone, and the heating coefficient of the second heating zone is greater than the heating coefficient of the third heating zone;
and determining the heating temperature of the heating area according to the heating coefficient of the heating area and the target temperature.
In an embodiment, the heat prediction module 10 is further configured to determine the number of arc sides according to the shape of the contact area;
When the number of the arc sides is greater than or equal to a preset number threshold, connecting adjacent arc sides to obtain a connection shape, and determining whether the connection shape is regular;
when the connection shape is regular, determining that the connection shape is the bottom surface range of the object to be heated;
and when the connecting shape is irregular, determining the junction point of the irregular part and the regular part in the connecting shape, and connecting the junction point according to the shape of the regular part to obtain the bottom surface range.
In an embodiment, the zone heating module 30 is further configured to detect the flat heating surface, and determine whether the flat heating surface meets a three-protection requirement, where the three-protection requirement at least includes a mold-proof requirement, a moisture-proof requirement, and a salt spray-proof requirement;
and stopping heating the object to be heated when the flat heating surface does not meet the three-proofing requirement, and outputting early warning information to perform safety inspection.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the invention as desired, and the invention is not limited thereto.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in the present embodiment may refer to the intelligent flat panel heating method provided in any embodiment of the present invention, which is not described herein.
Furthermore, it should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. Read Only Memory)/RAM, magnetic disk, optical disk) and including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. The intelligent flat panel heating method is characterized by comprising the following steps of:
Determining a bottom surface heated area of an object to be heated at a target temperature according to a heated area prediction model and a contact area between the object to be heated and a flat heating surface;
determining the bottom surface range of the object to be heated according to the contact area;
determining that an unheated zone exists when the floor heated zone does not cover the floor extent;
dividing the bottom surface of the object to be heated into heating areas with different grades according to the unheated area and the bottom surface heated area;
determining the heating temperature of the heating area according to the target temperature and the grade of the heating area;
and heating the object to be heated according to the heating temperature of the heating area.
2. The method of claim 1, wherein determining the heated area of the bottom surface of the object to be heated at the target temperature based on the heated area prediction model and the contact area between the object to be heated and the flat heating surface comprises:
acquiring the weight of the object to be heated, and determining the density of the object to be heated according to the bottom surface range and the weight of the object to be heated;
determining the material quality of the object to be heated according to the density of the object to be heated;
Selecting a target heated region prediction model corresponding to the material from the heated region prediction models according to the material of the object to be heated;
and inputting the target temperature, the shape and the area of the contact area into the target heated area prediction model to obtain the heated area of the bottom surface of the object to be heated.
3. The method of claim 2, wherein determining the heated area of the bottom surface of the object to be heated at the target temperature is preceded by determining the heated area of the bottom surface of the object to be heated based on the heated area prediction model and the contact area between the object to be heated and the flat heating surface, further comprising:
acquiring test data of a test heating object, wherein the test data at least comprises a test contact area, a test heating temperature and a test heating area corresponding to the test contact area at the test heating temperature;
classifying the test data according to the material of the test heating object to obtain a test data set;
generating a decision tree corresponding to the test data set based on the test data set;
determining feature data in the test data set based on the decision tree;
and constructing a heated area prediction model corresponding to different materials based on the characteristic data of the test data set and the decision tree.
4. The method of claim 1, wherein the dividing the bottom surface of the object to be heated into different levels of heating zones based on the unheated zone and the bottom surface heated zone comprises:
determining a first heating area according to the unheated area, wherein the grade of the first heating area is a first grade;
determining a second heating area according to the bottom surface heated area and the contact area, wherein the grade of the second heating area is a second grade;
and determining a third heating area according to the contact area and the second heating area, wherein the grade of the third heating area is a third grade.
5. The method of claim 4, wherein determining the heating temperature of the heating zone based on the target temperature and the grade of the heating zone comprises:
determining the heating coefficient of the heating area according to the grade of the heating area, wherein the heating coefficient of the first heating area is larger than the heating coefficient of the second heating area, and the heating coefficient of the second heating area is larger than the heating coefficient of the third heating area;
and determining the heating temperature of the heating area according to the heating coefficient of the heating area and the target temperature.
6. The method of claim 1, wherein determining the extent of the bottom surface of the object to be heated based on the contact area comprises:
determining the number of arc sides according to the shape of the contact area;
when the number of the arc sides is greater than or equal to a preset number threshold, connecting adjacent arc sides to obtain a connection shape, and determining whether the connection shape is regular;
when the connection shape is regular, determining that the connection shape is the bottom surface range of the object to be heated;
and when the connecting shape is irregular, determining the junction point of the irregular part and the regular part in the connecting shape, and connecting the junction point according to the shape of the regular part to obtain the bottom surface range.
7. The method of any one of claims 1 to 6, wherein the flat panel intelligent heating method further comprises:
detecting the flat heating surface, and determining whether the flat heating surface meets three-proofing requirements, wherein the three-proofing requirements at least comprise mould proofing requirements, moisture proofing requirements and salt mist proofing requirements;
and stopping heating the object to be heated when the flat heating surface does not meet the three-proofing requirement, and outputting early warning information to perform safety inspection.
8. Dull and stereotyped intelligent heating device, its characterized in that, dull and stereotyped intelligent heating device includes:
the heating prediction module is used for determining a bottom surface heating area of the object to be heated at the target temperature according to the heating area prediction model and a contact area between the object to be heated and the heating surface of the flat plate;
the heating prediction module is further used for determining the bottom surface range of the object to be heated according to the contact area;
the area dividing module is used for determining that an unheated area exists when the heated area of the bottom surface does not cover the range of the bottom surface;
the region dividing module is further configured to divide the bottom surface of the object to be heated into heating regions with different levels according to the unheated region and the bottom surface heated region;
the zone heating module is used for determining the heating temperature of the heating zone according to the target temperature and the grade of the heating zone;
the partition heating module is further used for heating the object to be heated according to the heating temperature of the heating area.
9. A flat panel intelligent heating apparatus, the apparatus comprising: a memory, a processor, and a tablet smart heating program stored on the memory and executable on the processor, the tablet smart heating program configured to implement the steps of the tablet smart heating method of any one of claims 1-7.
10. A storage medium having stored thereon a tablet smart heating program which when executed by a processor performs the steps of the tablet smart heating method of any one of claims 1 to 7.
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| US20080149627A1 (en) * | 2006-10-31 | 2008-06-26 | Bunlim Ly | Apparatus for Microwave Cooking of a Food Product |
| KR20140086497A (en) * | 2012-12-28 | 2014-07-08 | 코웨이 주식회사 | Heating control method of induction range |
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