Cooking area adjustable control method and system

Abstract

The invention discloses a cooking area adjustable control method and system, and relates to the technical field of control. Comprising the following steps: dividing a heating area into a plurality of honeycomb-shaped micro-units, constructing an adjacent matrix, and describing heating transfer paths among different micro-units; adjusting the adjacent matrix, generating a minimum communicated heating region covering the edge of the cookware, and ensuring that each contact surface of the cookware is uniformly heated; based on the minimum communication heating region, dynamically adjusting the heating power of the micro-unit to realize uniform heating of the whole cookware region; the temperature distribution in the heating process is monitored in real time, the heating power of each micro unit is fed back, and the heating effect is optimized. The heating power is dynamically adjusted according to the actual situation and the heating requirement of the cookware, the energy utilization efficiency is improved, and energy waste is avoided.

Description

Technical Field

[0001] The invention relates to the field of control technology, and in particular to a control method and system for adjustable cooking areas. Background Art

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

[0003] In order to improve heating uniformity and energy efficiency, some studies have introduced multi-zone distributed heating technology, which achieves adaptation to different pot shapes by independently controlling multiple heating units. This method improves the heat utilization efficiency to a certain extent, but due to the lack of precise heat transfer control mechanism, there are still problems such as local overheating, large heat loss, and insufficient heating of the pot edge. In addition, some intelligent heating systems use infrared thermal imaging, temperature sensors and other means for temperature monitoring and feedback control, but due to the complex coupling effect of the heating unit and the relatively simple temperature adjustment strategy, efficient and accurate heat distribution cannot be achieved. Summary of the invention

[0004] In view of the problems existing in the existing multi-zone heating technology in terms of intelligent 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 control strategy based on an adjacency matrix.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: In the first aspect, the present invention provides a control method for adjustable cooking areas, which includes 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; adjusting 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 heated evenly; based on the minimum connected heating domain, dynamically adjusting the heating power of the micro-unit to achieve uniform heating of the entire pot area; real-time monitoring of the temperature distribution during the heating process, providing feedback on the heating power of each micro-unit, and optimizing the heating effect.

[0007] As a preferred solution of the control method for adjustable cooking area of ​​the present invention, wherein: the micro-unit covers the entire heating area; the construction of the adjacency matrix uses a graph theory algorithm to model the micro-units of the heating area.

[0008] As a preferred solution of the control method for adjustable cooking area of ​​the present invention, the generating of the minimum connected heating domain covering the edge of the pot comprises: 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, generating the minimum connected heating domain covering the edge of the pot; The contact relationship matrix ; Using the contact relationship matrix , adjusting the edge weights of the adjacency matrix; and generating a minimum connected heating domain covering the edge of the pot based on the adjusted adjacency matrix.

[0009] As a preferred solution of the control method for adjustable cooking area of ​​the present invention, wherein: the contact relationship matrix The generation includes: calculating the contact surface of the pot and each heating unit Heat transfer index: The heat transfer index 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 the heat transfer efficiency; use the heat transfer efficiency to represent the contact relationship matrix Elements in , that is, the element Representation microunit With heating unit The heat transfer efficiency between.

[0010] As a preferred solution of the control method for adjustable cooking area of ​​the present invention, wherein: the contact relationship matrix is ​​used , adjusting the edge weights of the adjacency matrix includes 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 on 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 pot 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 pot to at least the average contact surface temperature within the next heating control cycle. High temperature threshold.

[0011] As a preferred solution of the control method for adjustable cooking area of ​​the present invention, the generation of the minimum connected heating domain covering the edge of the pot includes: extracting all micro-units in the actual contact area according to the shape of the bottom of the pot , forming the initial contact area matrix , and calculate the heat load of each contact area micro-unit ; wherein the heat load The heat flux density per unit area is multiplied by the area of ​​the micro-unit; 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 pots 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.

[0012] As a preferred solution of the control method for adjustable cooking area of ​​the present invention, the dynamic adjustment of the heating power of the micro-unit includes: determining the temperature deviation of each micro-unit according to the target temperature value set by the cookware and the actual temperature value of the current micro-unit; determining the temperature deviation of each micro-unit according to the temperature deviation and the edge weight of the 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.

[0013] In a second aspect, the present invention provides a control system with adjustable cooking areas, which includes a micro-unit division and matrix construction module, which is used to divide the heating area into a plurality of honeycomb-shaped micro-units and construct an adjacency matrix to describe the heating transfer paths between different micro-units; an adjacency matrix adjustment module, which 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 heated evenly; a heating power dynamic adjustment module, which is used to dynamically adjust the heating power of the micro-unit based on the minimum connected heating domain to achieve uniform heating of the entire pot area; a temperature monitoring and feedback optimization module, which is used to monitor the temperature distribution during the heating process in real time, to provide feedback on the heating power of each micro-unit, and to optimize the heating effect.

[0014] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the control method for adjustable cooking areas as described in the first aspect of the present invention are implemented.

[0015] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: the computer program instructions, when executed by a processor, implement the steps of the control method for adjustable cooking areas as described in the first aspect of the present invention.

[0016] 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 path between different micro-units, laying a solid foundation for subsequent heating control. The minimum connected heating domain covering the edge of the pot is generated to ensure that each contact surface of the pot can be heated evenly, 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 micro-unit heating power is optimized by feedback, realizing dynamic intelligent control. The present invention dynamically adjusts the heating power according to the actual situation of the pot and the heating demand, which not only improves the energy utilization efficiency, but also avoids energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 Flow chart of a control method for adjustable cooking zones.

[0019] Figure 2 Schematic diagram of the generation of the minimum connected heating domain for the control method with adjustable cooking zones.

[0020] Figure 3 Block diagram of a control system with adjustable cooking zones. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0022] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0023] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0024] Example 1 Reference Figure 1~Figure 3 , which is the first embodiment of the present invention, provides a control method for adjustable cooking areas, such as Figure 1 As shown, the following steps are included: S1: Divide the heating area into multiple honeycomb-shaped micro-units , the microcell Cover the entire heating area; construct the adjacency matrix through graph theory algorithm.

[0025] In this embodiment, a graph theory algorithm (such as Dijkstra algorithm) is used to model the micro-units of the heating area to construct an adjacency matrix. ,The elements in the adjacency matrix represent the heat transfer paths between different micro-units.

[0026] Optionally, the diameter of the honeycomb-shaped micro-unit can be set to ensure that each micro-unit evenly covers the entire cooking area. This division method can accurately control the heating power of each micro-unit, which helps to improve heating efficiency and reduce heat waste.

[0027] It should be noted that in the traditional division of heating areas, regular rectangular or square units are usually used for area segmentation, but these methods cannot fully utilize the shape characteristics of the heating area, which may lead to low heating efficiency or uneven heat distribution. In order to overcome this problem, the technical solution adopts a honeycomb micro-unit division method to accurately decompose the entire heating area into multiple honeycomb units with equal diameters and uniform distribution.

[0028] The design of the honeycomb unit is inspired by the honeycomb structure in nature. Its biggest advantage is that it can provide very high filling efficiency in two-dimensional space without any gap waste. Through this honeycomb division, the shape of each micro unit is hexagonal. This structure has a high degree of symmetry and compactness, which effectively avoids the heat loss caused by the edge effect in traditional rectangular units. In this technical solution, the design of this honeycomb micro unit can make full use of every part of the heating area, thereby improving the heating efficiency, reducing heat waste, and ensuring that each micro unit can accurately control its heating power.

[0029] The division scale of each honeycomb-shaped micro-unit ensures a more delicate and uniform temperature distribution within the heating area, and the heating intensity of each unit can be adjusted according to different needs. In addition, the honeycomb structure is conducive to more efficient heat transfer, so that the heat can be more evenly distributed throughout the cooking area, avoiding the problem 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 irregularly shaped pots, and a more ideal heating effect can be achieved.

[0030] A significant advantage of this honeycomb division method over the 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 needs of different areas. For example, the central area of ​​the pot may require higher heating power, while the edge part can moderately reduce the power. Through this micro-level heating adjustment, heat waste is effectively avoided and higher energy utilization can be achieved.

[0031] On the other hand, using the adjacency matrix Each micro-unit in the heating area is regarded as a node, and the heat transfer relationship between micro-units is represented by the edges in the graph. The adjacency matrix makes the heating control more flexible and accurate by modeling the relationship between micro-units.

[0032] Using graph theory algorithms, such as the Dijkstra algorithm or the A* algorithm, to construct an adjacency matrix can effectively describe the heating transfer path between different micro-units and can make real-time adjustments based on the shape characteristics of the pot.

[0033] Among them, the Dijkstra algorithm is a common shortest path algorithm that can calculate the optimal heat transfer path between each micro-unit according to the heat transfer requirements 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 to form a real-time feedback heating control network.

[0034] S2: The adjacency matrix is ​​adjusted to generate a minimum connected heating domain covering the edge of the pot, so as to ensure that each contact surface of the pot is evenly heated.

[0035] In this embodiment, generating the minimum connected heating domain covering the edge of the pot specifically includes the following steps: First, by arranging temperature sensors in the heating area, the contact surface temperature and heat transfer index between the pot and the heating area are obtained in real time, and the contact surface temperature between the pot and the heating unit is generated. The contact relationship matrix , determine the heat transfer boundary between each micro-unit and the edge of the pot.

[0036] It should be noted that the sensors are evenly arranged on the boundary of each micro-unit to ensure that the thermal state of each micro-unit can be monitored in real time. Each sensor is responsible for monitoring the heat transfer between the 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. Each sensor should be arranged at a certain distance from the adjacent heating unit to ensure that it can sense the temperature gradient change in real time.

[0037] It should be noted that the heating unit refers to an independently controlled part in the heating area (such as multiple heating coils in an induction cooker, multiple combustion zones on a gas stove, etc.), and each heating unit transfers heat to the pot area it contacts.

[0038] Preferably, the contact relationship matrix The heat transfer efficiency and boundary relationship between the pot contact surface and the heating unit were quantified.

[0039] Specifically, calculate the contact surface between the pot and each heating unit. Heat transfer index between: Heat transfer index The temperature of the area on the contact surface of the pot is determined by the temperature of a certain heating unit. The difference in temperature is calculated based on the heat transfer index between the pot contact surface and the heating unit. Calculate the heat transfer efficiency: in, is the heat transfer coefficient, and They are respectively the highest and lowest temperatures experienced by the contact surface of the cookware during the heating process. A larger heat transfer index means stronger heat transfer efficiency.

[0040] Using heat transfer efficiency to represent the contact relationship matrix Elements in ,element Representation microunit With heating unit The heat transfer efficiency between.

[0041] Secondly, using the contact relationship matrix , adjust the adjacency matrix The edge weight of .

[0042] Using the contact relationship matrix As input, adjust the original adjacency matrix . Contact relationship matrix Reflects the micro-unit With heating unit The heat transfer efficiency between It is used to describe the heat transfer path between micro units.

[0043] Specifically, the contact relationship matrix With the adjacency matrix The mapping relationship between them is as follows: Set each microcell and The edge weight between As an adjacency matrix elements; using the contact relationship matrix The heat transfer efficiency in the adjacency matrix is ​​adjusted by the edge weights , ensuring that heat can be reasonably distributed according to the temperature on the contact surface of the pot.

[0044] According to the temperature on the contact surface of the pot, the edge weights of the adjacency matrix are dynamically adjusted. Specifically: If the temperature of a certain area of ​​the contact surface of the pot is lower (lower than the average temperature of the contact surface minus Threshold), then the edge weight of the heating unit corresponding to the area in the adjacency matrix If the area is increased, it means that more heat transfer is needed in this area. Then the edge weights of the adjacent micro-units will be increased first to make the heat flow to this area until the contact surface temperature is uniform. The goal of adjustment is to increase the temperature of this area to at least the average temperature of the contact surface in the next heating control cycle. The low temperature threshold gradually approaches the average temperature of the contact surface; if the temperature of a certain area of ​​the contact surface is higher (higher than the average temperature of the contact surface plus Threshold), then the edge weight of the heating unit corresponding to the area in the adjacency matrix It should be reduced, indicating that the area does not need too much heat transfer to avoid overheating. The goal of adjustment is to reduce the temperature of the area to at least the average temperature of the contact surface in the next heating control cycle. High temperature threshold and gradually approaches the average temperature of the contact surface.

[0045] This dynamic adjustment mechanism optimizes the heat distribution by providing real-time feedback on the contact surface temperature of the pot, allowing the entire heating area to be heated more accurately and evenly, avoiding local overheating or cooling. This mechanism can be continuously optimized during the use of the pot, thereby improving heating efficiency and reducing energy consumption.

[0046] Then, based on the optimized adjacency matrix, the minimum connected heating domain covering the edge of the pot is generated.

[0047] Specifically, by processing the optimized adjacency matrix, a minimum heat transfer area is determined. This area is composed of micro units in the adjacency matrix, ensuring that each contact surface of the cookware can be heated. The heat transfer efficiency in this area is optimal and can meet the minimum heating power requirement.

[0048] Among them, Figure 2 As shown in Figure 2, the generation rule of the minimum connected heating domain is as follows: According to the actual contact surface of the pot, 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 contact areas of the pot and forms an interconnected heating area to ensure that heat can be continuously transferred from the heating unit to the surface of the pot.

[0049] Exemplarily, the steps of generating the minimum connected heating domain are as follows: 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 ; Among them, heat load It is calculated by multiplying the heat flux per unit area by the area of ​​the micro-unit; Extract edge weights from the adjusted adjacency matrix; Calculate the cumulative heat load of the microcell in each contact area : Furthermore, the initial contact area matrix of the pot The micro-cell in is taken as the starting point, and the minimum connected tree is generated using Prim or Kruskal algorithm according to the edge weights of all adjacent micro-cells.

[0050] When calculating the minimum connected tree, priority is given to connecting 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, avoid directly selecting the micro-unit with the lowest heating power. Instead, combine the cumulative heat load and edge weight to select a more appropriate micro-unit for heating. For example, for heating units with the same power demand, priority is given to connecting to areas with larger cumulative heat loads to improve overall heating efficiency.

[0051] It is necessary to ensure that all pan contact micro-units can be connected to at least one heating unit through edge weights. If some micro-units are not connected, the edge weights of adjacent micro-units should be increased, or the power of the heating unit should be adjusted to optimize the heat transfer path.

[0052] S3: Based on the minimum connected heating domain, a small area collaborative control strategy is adopted to dynamically adjust the heating power of the micro unit to achieve uniform heating of the entire pot area.

[0053] By adjusting the heating power of the micro-unit in real time, the heat can be transferred along the larger Path priority flow, optimizing overall heat distribution: If the temperature of a minimum connected heating domain is lower than the target temperature value, the heating power of the minimum connected heating domain is increased, and the power of its adjacent micro units is increased to make the heat transfer more uniform; if the temperature of a minimum connected heating domain is too high, the heating power of the area is reduced, and the power of the adjacent micro units is adjusted to avoid local overheating.

[0054] To ensure that the temperature at the bottom of the pot is evenly distributed, the power allocation is dynamically adjusted based on the adjacency matrix: The temperature deviation of each micro-unit is determined 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 the micro-unit needs additional heating; if the temperature deviation is less than 0, the temperature of the micro-unit is too high and the power needs to be reduced. The temperature deviation is the target temperature minus the actual temperature. Edge weights based on temperature deviation and adjacency matrix Dynamically adjust the power of each micro unit: in, is the maximum power of the heating unit, and Microcell and Temperature deviation, Microcell Heating power.

[0055] 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 more uniform. The iterative adjustment strategy is adopted: in, The micro-unit heating power adjusted for the next moment, and The micro-unit at the current moment and Heating power; is the power adjustment factor.

[0056] The above process continues until the temperatures of all micro-units tend to be balanced.

[0057] Through this adjustment process, it can be ensured that the low temperature area gets more heat first, while the higher temperature area reduces heating, gradually achieving thermal balance, thereby improving the temperature uniformity of the cooking area.

[0058] S4: Real-time monitoring of the temperature distribution during the heating process, feedback on the heating power of each micro-unit, optimization of the heating effect, and ensuring uniform heating of the entire cookware surface.

[0059] Specifically, during the heating process, temperature sensors distributed in each micro-unit are used to monitor the temperature distribution of the pot contact surface in real time and record the temperature of each micro-unit; the collection time interval is determined by the heating response speed, usually at the level of 0.1s to 1s; the sensor data is filtered (such as Kalman filtering, mean filtering) to reduce noise and improve accuracy.

[0060] If the temperature of a certain micro-unit is lower than the target temperature, the heating power of the micro-unit is increased first to raise its temperature; if the micro-unit still cannot heat up quickly, the heating power of the adjacent micro-unit is increased to promote heat transfer; at the same time, feedback is given 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.

[0061] Continue to monitor the temperature until all microcells are at a uniform temperature.

[0062] If there are still micro-units that have not reached the target temperature, the system continues to feedback to step S3 to adjust the edge weights of the adjacency matrix and the power allocation strategy; the adjustment cycle continues until the temperature distribution of all micro-units is uniform.

[0063] Further, such as Figure 3 As shown, the present embodiment further 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 a plurality of honeycomb-shaped micro-units and construct an adjacency matrix to describe the heating transfer path between different micro-units; an adjacency matrix adjustment module 200, which 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 heated evenly; a heating power dynamic adjustment module 300, which is used to dynamically adjust the heating power of the micro-unit based on the minimum connected heating domain to achieve uniform heating of the entire pot area; a temperature monitoring and feedback optimization module 400, which 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.

[0064] This embodiment also provides a computer device, which is suitable for the case of a control method for adjustable cooking areas, and includes 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 for adjustable cooking areas as proposed in the above embodiment.

[0065] The computer device may be a terminal, and 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 achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0066] This embodiment further provides a storage medium on which a computer program is stored. When the program is executed by a processor, the control method for achieving adjustable cooking areas as proposed in the above embodiment is implemented.

[0067] In summary, the present invention can accurately describe the heating transfer path between different micro-units by dividing the heating area into honeycomb-shaped micro-units and constructing an adjacency matrix, laying a solid foundation for subsequent heating control. Generate a minimum connected heating domain covering the edge of the pot to ensure that each contact surface of the pot can be heated evenly, effectively avoiding the problems of local overheating or uneven heating that often occur in traditional heating methods; during the heating process, monitor the temperature distribution in real time and perform feedback optimization on the micro-unit heating power to achieve dynamic intelligent control. The present invention dynamically adjusts the heating power according to the actual situation of the pot and the heating requirements, which not only improves the energy utilization efficiency but also avoids energy waste.

[0068] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in 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; The temperature distribution during the heating process is monitored in real time, and the heating power of each micro-unit is fed back to optimize the heating effect.

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 The generation includes: Calculate the contact surface between the pan and each heating unit Heat transfer index between: The heat transfer index The temperature of the area on the contact surface of the pot and the heating unit The temperature difference; According to the heat transfer index 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.

4. The control method for adjustable cooking areas according to claim 3, 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.

5. The control method for adjustable cooking areas according to claim 4, 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 pots 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.

6. The control method for adjustable cooking areas according to claim 5, 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.

7. 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 6, 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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