A control method and system with adjustable cooking area

Abstract

The present invention discloses a control method and system with adjustable cooking areas, relating to the field of control technology. It includes dividing the heating area into multiple honeycomb-shaped micro-units, constructing an adjacency matrix to describe the heat transfer paths between different micro-units; adjusting the adjacency matrix to generate the smallest connected heating domain covering the edge of the cookware to ensure uniform heating of each contact surface of the cookware; dynamically adjusting the heating power of the micro-units based on the smallest connected heating domain to achieve uniform heating of the entire cookware area; and real-time monitoring the temperature distribution during the heating process, providing feedback on the heating power of each micro-unit to optimize the heating effect. According to the actual situation of the cookware and the heating requirements, the present invention dynamically adjusts the heating power, which not only improves the energy utilization efficiency but also avoids waste of energy.

Description

Technical Field

[0001] The present invention relates to the field of control technology, and particularly to a control method and system with adjustable cooking area. Background Art

[0002] With the rapid development of modern kitchen appliance technology, heating devices such as induction cookers and infrared cooktops have been widely used in household and commercial cooking scenarios. Most of these heating devices adopt a fixed-area heating method, that is, heat is provided by a preset heating coil or combustion device, and heating is completed through the heat conduction effect between the cookware and the heating surface. However, the traditional heating method has multiple technical bottlenecks. For example, it is difficult to adaptively adjust the heating area according to the size of the cookware, resulting in problems such as uneven heat distribution and low energy utilization rate.

[0003] In order to improve heating uniformity and energy efficiency, some studies have introduced multi-region distributed heating technology, which realizes the adaptation to different cookware shapes by independently controlling multiple heating units. This method improves a certain heat utilization efficiency, but due to the lack of a precise heat transfer control mechanism, there are still problems such as local overheating, large heat loss, and insufficient heating at the edges of the cookware. In addition, some intelligent heating systems use means such as infrared thermal imaging and temperature sensors for temperature monitoring and feedback control. However, due to the complex coupling effect of the heating units, the temperature regulation strategy is relatively single, and efficient and precise heat distribution cannot be achieved. Summary of the Invention

[0004] In view of the problems existing in the existing multi-region heating technology in terms of intelligence and adaptive control, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is how to achieve precise heating control of the bottom of the cookware through a multi-micro-unit dynamic regulation strategy based on an adjacency matrix.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a control method with adjustable cooking area, which includes dividing the heating area into multiple honeycomb-shaped micro-units, and constructing an adjacency matrix to describe the heating transfer paths between different micro-units; adjusting the adjacency matrix to generate a minimum connected heating domain covering the edge of the cookware to ensure uniform heating of each contact surface of the cookware; dynamically adjusting the heating power of the micro-units based on the minimum connected heating domain to achieve uniform heating of the entire cookware area; and real-time monitoring the temperature distribution during the heating process, feeding back the heating power of each micro-unit, and optimizing the heating effect.

[0008] As a preferred solution of the control method for adjustable cooking area of the present invention, wherein: the micro-units cover the entire heating area; the construction of the adjacency matrix uses graph theory algorithms to model the micro-units in the heating area.

[0009] As a preferred solution of the control method for adjustable cooking area of the present invention, wherein: the generation of the minimum connected heating domain covering the edge of the cooking utensil includes: by arranging temperature sensors in the heating area, the contact surface temperature and heat transfer index between the cooking utensil and the heating area are obtained in real time, and the contact relationship matrix between the contact surface of the cooking utensil and the heating unit is generated. Using the contact relationship matrix , the edge weights of the adjacency matrix are adjusted; based on the adjusted adjacency matrix, the minimum connected heating domain covering the edge of the cooking utensil is generated.

[0010] As a preferred solution of the control method for adjustable cooking area of the present invention, wherein: the generation of the contact relationship matrix includes: calculating the heat transfer index between the contact surface of the cooking utensil and each heating unit : the heat transfer index is the difference between the regional temperature on the contact surface of the cooking utensil and the temperature of the heating unit ; calculating the heat transfer efficiency according to the heat transfer index between the contact surface of the cooking utensil and the heating unit ; using the heat transfer efficiency to represent the elements in the contact relationship matrix , that is, the element represents the heat transfer efficiency between the micro-unit and the heating unit and the heating unit .

[0011] As a preferred solution of the control method for adjustable cooking area of the present invention, wherein: the adjustment of the edge weights of the adjacency matrix by using the contact relationship matrix includes the following steps: the mapping relationship between the contact relationship matrix and the adjacency matrix is as follows: if the temperature of a certain area on the contact surface of the cooking utensil is lower than the average contact surface temperature minus threshold, then increase the edge weight of the heating unit corresponding to this area on the contact surface of the cooking utensil in the adjacency matrix ; the adjustment target is to increase the temperature of this area on the contact surface of the cooking utensil to at least the average contact surface temperature minus low temperature threshold in the next heating control cycle; if the temperature of a certain area on the contact surface of the cooking utensil is higher than the average contact surface temperature plus threshold, then decrease the edge weight of the heating unit corresponding to this area on the contact surface of the cooking utensil in the adjacency matrix ; The goal of the adjustment is to reduce the temperature of the cookware contact surface area to at least the average contact surface temperature plus the high temperature threshold within the next heating control cycle.

[0012] As a preferred embodiment of the control method for adjustable cooking area of the present invention, wherein: the generation of the minimum connected heating domain covering the edge of the cookware includes: extracting all micro-units in all actual contact areas according to the shape of the bottom of the cookware to form an initial contact area matrix and calculating the heat load of each micro-unit in the contact area ; wherein, the heat load is calculated by multiplying the heat flux density per unit area and the area of the micro-unit; according to the heat load calculate the cumulative heat load of each micro-unit in each contact area ; extract the edge weights from the adjusted adjacency matrix; according to the cumulative heat load select the starting point for the micro-units in the initial cookware contact area matrix and use the Prim or Kruskal algorithm to generate a minimum connected tree.

[0013] As a preferred embodiment of the control method for adjustable cooking area of the present invention, wherein: dynamically adjusting the heating power of the micro-units includes: determining the temperature deviation of each micro-unit according to the set target temperature value of the cookware and the actual temperature value of the current micro-unit; dynamically adjusting the power of each micro-unit according to the temperature deviation and the edge weights of the adjacency matrix ; based on the consensus protocol, each micro-unit needs to adjust the power with neighboring micro-units to make the temperature distribution in the entire minimum connected heating domain uniform.

[0014] In a second aspect, the present invention provides a control system for adjustable cooking area, which includes a micro-unit division and matrix construction module for dividing the heating area into a plurality of honeycomb-shaped micro-units and constructing an adjacency matrix to describe the heating transfer paths between different micro-units; an adjacency matrix adjustment module for adjusting the adjacency matrix to generate a minimum connected heating domain covering the edge of the cookware to ensure uniform heating of each contact surface of the cookware; a heating power dynamic adjustment module for dynamically adjusting the heating power of the micro-units based on the minimum connected heating domain to achieve uniform heating of the entire cookware area; a temperature monitoring and feedback optimization module for real-time monitoring of the temperature distribution during the heating process, feeding back the heating power of each micro-unit, and optimizing the heating effect.

[0015] In a third aspect, the present invention provides a computer device, including a memory and a processor, wherein: when the computer program instructions are executed by the processor, the steps of the control method for adjustable cooking area as described in the first aspect of the present invention are implemented.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, wherein: when the computer program instructions are executed by a processor, the steps of the control method for adjustable cooking area as described in the first aspect of the present invention are implemented.

[0017] The beneficial effects of the present invention are as follows: by dividing the heating area into honeycomb-shaped micro-units and constructing an adjacency matrix, the present invention can accurately describe the heating transfer paths between different micro-units, laying a solid foundation for subsequent heating regulation. Generating the smallest connected heating domain covering the edge of the cookware ensures that each contact surface of the cookware is evenly heated, effectively avoiding the problems of local overheating or uneven heating that often occur in traditional heating methods; during the heating process, the temperature distribution is monitored in real time and the heating power of the micro-units is feedback-optimized to achieve dynamic intelligent regulation. The present invention dynamically adjusts the heating power according to the actual situation of the cookware and the heating requirements, not only improving the energy utilization efficiency but also avoiding the waste of energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is a flowchart of the control method for adjustable cooking area.

[0020] Figure 2 It is a schematic diagram of the generation of the smallest connected heating domain of the control method for adjustable cooking area.

[0021] Figure 3 It is a structural diagram of the control system for adjustable cooking area. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific embodiments of the present invention with reference to the accompanying drawings of the specification.

[0023] Many specific details are set forth in the following description in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0024] Second, the "one embodiment" or "embodiment" referred to herein means a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or selectively exclusive embodiments from other embodiments.

[0025] Embodiment 1

[0026] Referring to Figures 1 to 3 , which is the first embodiment of the present invention. This embodiment provides a control method for adjustable cooking areas. As Figure 1 shown, it includes the following operating steps:

[0027] S1: Divide the heating area into multiple honeycomb-shaped micro-units , and the micro-units cover the entire heating area; construct an adjacency matrix through graph theory algorithms.

[0028] In this embodiment, a graph theory algorithm (such as the Dijkstra algorithm) is used to construct an adjacency matrix by modeling the micro-units of the heating area. The elements in the adjacency matrix represent the heat transfer paths between different micro-units.

[0029] Optionally, the diameter of the honeycomb-shaped micro-units can be set to ensure that each micro-unit evenly covers the entire cooking area. This division method can precisely control the heating power of each micro-unit, which helps to improve the heating efficiency and reduce heat waste.

[0030] It should be noted that in traditional heating area divisions, regular rectangular or square units are usually used for area segmentation. However, these methods cannot fully utilize the shape characteristics of the heating area, which may lead to low heating efficiency or uneven heat distribution. To overcome this problem, this technical solution uses the division method of honeycomb-shaped micro-units to precisely decompose the entire heating area into multiple honeycomb-shaped units with equal diameter and uniform distribution.

[0031] The design inspiration for the honeycomb-shaped units comes from the honeycomb structure in nature. Its greatest advantage is that it can provide a very high filling efficiency in two-dimensional space without void waste. Through this honeycomb-shaped division, the shape of each micro-unit is a hexagon. This structure has a high degree of symmetry and compactness, effectively avoiding heat loss caused by edge effects in traditional rectangular units. In this technical solution, the design of such honeycomb-shaped micro-units can make full use of every part of the heating area, thereby improving the heating efficiency, reducing heat waste, and ensuring that the heating power of each micro-unit can be precisely controlled.

[0032] The division scale of each honeycomb - shaped micro - unit ensures a more delicate and uniform temperature distribution within the heating area, and can adjust the heating intensity of each unit according to different requirements. In addition, the honeycomb - shaped structure is conducive to more efficient heat transfer, enabling heat to be more evenly distributed throughout the cooking area, avoiding the problems of heat concentration or deviation in traditional heating methods. Through this refined area division, the heating power of each micro - unit can be accurately controlled, thereby improving the overall heating efficiency. Especially for cookware with irregular shapes, a more ideal heating effect can also be achieved.

[0033] A significant advantage of this honeycomb - shaped division method compared to traditional heating block division is the flexibility in heat control. Through precise subdivision, the heat distribution of each micro - unit can be flexibly adjusted according to the heating requirements of different regions. For example, the central area of the cookware may require a higher heating power, while the edge part can be appropriately reduced. Through this microscopic - level heating adjustment, heat waste is effectively avoided, and higher energy utilization efficiency can be achieved.

[0034] On the other hand, using the adjacency matrix Regarding each micro - unit in the heating area as a node, the heat transfer relationship between micro - units is represented by the edges in the graph. The adjacency matrix, by modeling the relationship between micro - units, enables heating control to be more flexible and precise.

[0035] By using graph - theory algorithms, such as Dijkstra's algorithm or A* algorithm, to construct the adjacency matrix, the heating transfer paths between different micro - units can be effectively described, and can be adjusted in real - time according to the shape characteristics of the cookware.

[0036] Among them, Dijkstra's algorithm is a common shortest - path algorithm, which can calculate the optimal heat transfer path between each micro - unit according to the requirements of heat transfer and the resistance in the actual heating process. In this way, the adjacency matrix is not limited to static area division, but can be dynamically updated according to the actual heating situation, forming a real - time feedback heating control network.

[0037] S2: Adjust the adjacency matrix to generate the minimum connected heating domain covering the edge of the cookware, ensuring uniform heating of each contact surface of the cookware.

[0038] In this embodiment, generating the minimum connected heating domain covering the edge of the cookware specifically includes the following operating steps:

[0039] First, by arranging temperature sensors in the heating area, the temperature of the contact surface between the cookware and the heating area and the heat transfer index are obtained in real - time, generating the contact relationship matrix between the cookware contact surface and the heating unit between , determine the heat transfer boundary between each micro-unit and the edge of the cookware.

[0040] It should be noted that the sensors are evenly arranged on the boundaries of each micro-unit to ensure real-time monitoring of the thermal state of each micro-unit. Each sensor is responsible for monitoring the heat transfer between adjacent heating units to ensure comprehensive acquisition of temperature change information. For each micro-unit, at least one sensor is arranged. The number of sensors is determined according to the size of the heating area and the distribution density of the micro-units. When arranging each sensor, a certain distance should be maintained from the adjacent heating units to ensure that it can sense the temperature gradient change in real time.

[0041] It should be noted that the heating unit refers to the independent control part in the heating area (such as multiple heating coils in an induction cooker, multiple combustion zones on a gas stove, etc.). Each heating unit transfers heat to the cookware area it contacts.

[0042] Preferably, the contact relationship matrix quantifies the heat transfer efficiency and boundary relationship between the cookware contact surface and the heating unit.

[0043] Specifically, calculate the heat transfer index between the cookware contact surface and each heating unit : The heat transfer index is calculated from the temperature difference between the regional temperature on the cookware contact surface and the temperature of a certain heating unit ; Calculate the heat transfer efficiency according to the heat transfer index between the cookware contact surface and the heating unit :

[0044]

[0045] Among them, is the heat transfer coefficient, and are respectively the highest temperature and the lowest temperature experienced by the cookware contact surface during the heating process. A larger heat transfer index means stronger heat transfer efficiency.

[0046] Use the heat transfer efficiency to represent the element in the contact relationship matrix , and the element represents the heat transfer efficiency between the micro-unit and the heating unit .

[0047] Secondly, use the contact relationship matrix to adjust the edge weights of the adjacency matrix .

[0048] Use the contact relationship matrix as the input to adjust the original adjacency matrix Contact relationship matrix reflects the heat transfer efficiency between micro-units and heating units , while the adjacency matrix is used to describe the heat transfer path between micro-units.

[0049] Specifically, the mapping relationship between the contact relationship matrix and the adjacency matrix is as follows:

[0050] Set the edge weight between each micro-unit as an element of the adjacency matrix ; Use the heat transfer efficiency in the contact relationship matrix to adjust the edge weights in the adjacency matrix , ensuring that heat can be reasonably distributed according to the temperature on the cookware contact surface. According to the temperature situation on the cookware contact surface, dynamically adjust the edge weights of the adjacency matrix. Specifically:

[0051] If the temperature of a certain area on the cookware contact surface is low (lower than the contact surface average temperature minus

[0052] threshold), then the edge weight of the heating unit corresponding to this area in the adjacency matrix should be increased, indicating that more heat transfer is required in this area. Then, the edge weights of adjacent micro-units will be preferentially increased to make heat flow to this area until the contact surface temperature is uniform. The adjustment goal is to increase the temperature of this area to at least the contact surface average temperature minus low temperature threshold in the next heating control cycle and gradually approach the contact surface average temperature; if the temperature of a certain area on the contact surface is high (higher than the contact surface average temperature plus threshold), then the edge weight of the heating unit corresponding to this area in the adjacency matrix should be decreased, indicating that not much heat transfer is required in this area to avoid overheating. The adjustment goal is to decrease the temperature of this area to at least the contact surface average temperature plus

[0053] high temperature threshold in the next heating control cycle and gradually approach the contact surface average temperature.

[0054] Next, based on the optimized adjacency matrix, a minimum connected heating domain covering the edge of the cookware is generated.

[0055] Specifically, by processing the optimized adjacency matrix, a minimum heat transfer region is determined. This region is composed of micro-units in the adjacency matrix, ensuring that each contact surface of the cookware can be heated. The heat transfer efficiency within this region is optimal, and at the same time, it can meet the minimum requirement of the heating power.

[0056] Among them, as Figure 2 shown, the generation rules of the minimum connected heating domain are as follows:

[0057] According to the actual contact surface of the cookware, the heat load distribution of the heating area, and the edge weights of the adjusted adjacency matrix, a connected heating domain with minimized heat transfer is generated. This heating domain includes all the contact areas of the cookware and forms an interconnected heating area to ensure that heat can be continuously transferred from the heating unit to the cookware surface.

[0058] Exemplarily, the steps to generate the minimum connected heating domain are as follows:

[0059] Based on the shape of the bottom of the cookware, extract the micro-units in all actual contact areas , form an initial contact area matrix , and calculate the heat load of each micro-unit in the contact area ; among them, the heat load is calculated by the product of the heat flux density per unit area and the area of the micro-unit;

[0060] Extract the edge weights from the adjusted adjacency matrix;

[0061] Calculate the cumulative heat load of the micro-units in each contact area :

[0062]

[0063] Furthermore, starting from the micro-units in the initial contact area matrix of the cookware, according to the edge weights of all adjacent micro-units, use the Prim or Kruskal algorithm to generate a minimum spanning tree.

[0064] When calculating the minimum spanning tree, preferentially connect the areas with higher heat loads to ensure that these areas can obtain sufficient heat supply. Specifically, after calculating the cumulative heat load, when constructing the minimum connected heating domain, instead of directly selecting the micro-units with the lowest heating power, combine the cumulative heat load and the edge weights to select more suitable micro-units for heating. For example, for heating units with the same power requirement, preferentially select to connect to the areas with larger cumulative heat loads to improve the overall heating efficiency.

[0065] It is necessary to ensure that all cookware contact micro-units can be connected to at least one heating unit through edge weights. If some micro-units are not connected, increase the edge weights of adjacent micro-units or adjust the heating unit power to optimize the heat transfer path.

[0066] S3: Based on the minimum connected heating domain, adopt a small-area collaborative control strategy to dynamically adjust the heating power of micro-units to achieve uniform heating in the entire cookware area.

[0067] By adjusting the heating power of micro-units in real time, heat can flow preferentially along a larger path to optimize the overall heat distribution:

[0068] If the temperature of a certain minimum connected heating domain is lower than the target temperature value, increase the heating power of this minimum connected heating domain and increase the power of its adjacent micro-units to make heat transfer more uniform; if the temperature of a certain minimum connected heating domain is too high, reduce the heating power of this area and adjust the power of adjacent micro-units at the same time to avoid local overheating.

[0069] To ensure uniform temperature distribution at the bottom of the cookware, dynamically adjust the power distribution based on the adjacency matrix:

[0070] Determine the temperature deviation of each micro-unit according to the target temperature value set for the cookware and the actual temperature value of the current micro-unit. If the temperature deviation is greater than 0, it means that this micro-unit needs additional heating; if the temperature deviation is less than 0, the temperature of this micro-unit is too high and the power needs to be reduced. The temperature deviation is the target temperature minus the actual temperature;

[0071] Dynamically adjust the power of each micro-unit according to the temperature deviation and the edge weights of the adjacency matrix :

[0072]

[0073] where is the maximum power of the heating unit, and are the temperature deviations of micro-units and respectively, and is the heating power of micro-unit .

[0074] Based on the consensus protocol, each micro-unit needs to adjust its power with adjacent micro-units to make the temperature distribution in the entire minimum connected heating domain more uniform, and an iterative adjustment strategy is adopted:

[0075]

[0076] where is the adjusted heating power of the micro-unit at the next moment, and is the heating power of the micro-unit at the current moment and respectively; is the power adjustment coefficient.

[0077] The above process continues until the temperatures of all micro-units tend to be balanced.

[0078] Through this adjustment process, it can be ensured that the areas with lower temperatures obtain more heat preferentially, while the areas with higher temperatures reduce heating, gradually achieving thermal equilibrium, thereby improving the temperature uniformity of the cooking area.

[0079] S4: Monitor the temperature distribution during the heating process in real time, feedback the heating power of each micro-unit, optimize the heating effect, and ensure uniform heating of the entire cookware surface.

[0080] Specifically, during the heating process, use the temperature sensors distributed in each micro-unit to monitor the temperature distribution of the cookware contact surface in real time and record the temperatures of each micro-unit; the acquisition time interval is determined by the heating response speed and is usually at the level of 0.1s - 1s; the sensor data is filtered (such as Kalman filtering, mean filtering) to reduce noise and improve accuracy.

[0081] If the temperature of a certain micro-unit is lower than the target temperature, first increase the heating power of this micro-unit to raise its temperature; if this micro-unit still cannot heat up quickly, then increase the heating power of the adjacent micro-unit to promote heat transfer; at the same time, feedback to step S3 to re-optimize the edge weights in the adjacency matrix; similarly, if the temperature of a certain micro-unit is higher than the target temperature, the processing steps are the same as above.

[0082] Continue to monitor the temperature until the temperatures of all micro-units are uniform.

[0083] If there are still micro-units that have not reached the target temperature, continue to feedback back to step S3 to adjust the adjacency matrix edge weights and power distribution strategy; continuously loop and adjust until the temperature distribution of all micro-units is uniform.

[0084] Furthermore, as Figure 3As shown in the figure, this embodiment also provides a control system with adjustable cooking area, including a micro-unit division and matrix construction module 100, which is used to divide the heating area into multiple honeycomb-shaped micro-units and construct an adjacency matrix to describe the heating transfer paths between different micro-units; an adjacency matrix adjustment module 200, which is used to adjust the adjacency matrix to generate the smallest connected heating domain covering the edge of the cooking utensil to ensure uniform heating of each contact surface of the cooking utensil; a heating power dynamic adjustment module 300, which is used to dynamically adjust the heating power of the micro-units based on the smallest connected heating domain to achieve uniform heating of the entire cooking utensil area; a temperature monitoring and feedback optimization module 400, which is used to monitor the temperature distribution during the heating process in real time, feedback the heating power of each micro-unit, and optimize the heating effect.

[0085] This embodiment also provides a computer device, which is applicable to the case of the control method with adjustable cooking area, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the control method with adjustable cooking area proposed in the above embodiment.

[0086] This computer device can be a terminal. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the shell of the computer device, or an external keyboard, a touchpad, or a mouse, etc.

[0087] This embodiment also provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the control method for realizing adjustable cooking area proposed in the above embodiment.

[0088] In summary, by dividing the heating area into honeycomb-shaped micro-units and constructing an adjacency matrix, the present invention can accurately describe the heating transfer paths between different micro-units, laying a solid foundation for subsequent heating regulation. Generating the smallest connected heating domain covering the edge of the cookware ensures that each contact surface of the cookware is evenly heated, effectively avoiding the problems of local overheating or uneven heating that often occur in traditional heating methods; during the heating process, the temperature distribution is monitored in real time and the heating power of the micro-units is optimized by feedback, realizing dynamic intelligent regulation. According to the actual situation of the cookware and the heating requirements, the present invention dynamically adjusts the heating power, not only improving the energy utilization efficiency but also avoiding energy waste.

[0089] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A control method for adjustable cooking area, characterized in that: include: The heating area is divided into multiple honeycomb-shaped micro-units, and an adjacency matrix is ​​constructed to describe the heating transfer paths between different micro-units; The adjacency matrix is ​​adjusted to generate a minimum connected heating domain covering the edge of the pot, ensuring that each contact surface of the pot is evenly heated; Based on the minimum connected heating domain, the heating power of the micro-unit is dynamically adjusted to achieve uniform heating of the entire pot area; the generation of the minimum connected heating domain covering the edge of the pot includes arranging a temperature sensor in the heating area to obtain the contact surface temperature and heat transfer index between the pot and the heating area in real time, and generating the minimum connected heating domain covering the edge of the pot. The contact relationship matrix ; Using the contact relationship matrix , adjust the edge weights of the adjacency matrix; Based on the adjusted adjacency matrix, the minimum connected heating domain covering the edge of the pot is generated; Real-time monitoring of the temperature distribution during the heating process, feedback of the heating power of each micro-unit, and optimization of the heating effect; The contact relationship matrix The generation includes: calculating the contact surface of the pot and each heating unit Heat transfer index between: The temperature of the area on the contact surface of the pot and the heating unit The difference in temperature between the pot contact surface and the heating unit Calculate heat transfer efficiency; The heat transfer efficiency is represented by the contact relationship matrix Elements in , that is, the element Representation microunit With heating unit The heat transfer efficiency between.

2. The control method for adjustable cooking areas according to claim 1, characterized in that: The micro-unit covers the entire heating area; The adjacency matrix is ​​constructed by using a graph theory algorithm to model the micro-units of the heating area.

3. The control method for adjustable cooking areas according to claim 2, characterized in that: The contact relationship matrix is ​​used , adjusting the edge weights of the adjacency matrix comprises the following steps: Contact Relationship Matrix With the adjacency matrix The mapping relationship between them is as follows: If the temperature of a certain area of ​​the contact surface of the cookware is lower than the average temperature of the contact surface Threshold, then increase the edge weight of the heating unit corresponding to the contact surface area of ​​the pot in the adjacency matrix ; The goal of the adjustment is to increase the temperature of the contact surface area of ​​the cookware to at least the average contact surface temperature of Low temperature threshold; If the temperature of a certain area of ​​the contact surface of the cookware is higher than the average temperature of the contact surface, Threshold, then reduce the edge weight of the heating unit corresponding to the contact surface area of ​​the pot in the adjacency matrix ; The goal of the adjustment is to reduce the temperature of the contact surface area of ​​the cookware to at least the average contact surface temperature within the next heating control cycle. High temperature threshold.

4. The control method for adjustable cooking areas according to claim 3, characterized in that: The generation of the minimum connected heating domain covering the edge of the pot includes: According to the shape of the bottom of the pot, extract all micro-units in the actual contact area , forming the initial contact area matrix , and calculate the heat load of each contact area micro-unit ; Wherein, the heat load Calculated by multiplying the heat flux per unit area by the micro-unit area; According to the heat load Calculate the cumulative heat load of the microcell in each contact area ; Extract edge weights from the adjusted adjacency matrix; Based on the cumulative heat load Initial contact area matrix for the pan The starting point is selected based on the micro-units in the , and the minimum connected tree is generated using the Prim or Kruskal algorithm.

5. The control method for adjustable cooking areas according to claim 4, characterized in that: Dynamically adjusting the heating power of the micro-unit includes: Determine the temperature deviation of each micro-unit according to the target temperature value set for the cooker and the actual temperature value of the current micro-unit; Edge weights based on temperature deviation and adjacency matrix Dynamically adjust the power of each micro-unit; Based on the consistency protocol, each micro-unit needs to adjust the power with the adjacent micro-units to make the temperature distribution of the entire minimum connected heating domain uniform.

6. A control system for an adjustable cooking area, based on the control method for an adjustable cooking area according to any one of claims 1 to 5, characterized in that: Also includes: The micro-unit division and matrix construction module is used to divide the heating area into multiple honeycomb-shaped micro-units and construct an adjacency matrix to describe the heating transfer path between different micro-units; An adjacency matrix adjustment module is used to adjust the adjacency matrix to generate a minimum connected heating domain covering the edge of the pot to ensure that each contact surface of the pot is evenly heated; A heating power dynamic adjustment module, used to dynamically adjust the heating power of the micro unit based on the minimum connected heating domain, so as to achieve uniform heating of the entire pot area; The temperature monitoring and feedback optimization module is used to monitor the temperature distribution during the heating process in real time, provide feedback on the heating power of each micro unit, and optimize the heating effect.

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