Combination furnace heat supply control system based on Internet of Things

Abstract

The invention discloses a combined furnace heat supply control system based on the Internet of Things, and relates to the technical field of intelligent control, the system comprises an acquisition module, an analysis module, a compensation module and a control module, power stages are divided, the power value of each power stage is set, the difference value of actual heat and standard heat is calculated, a heat compensation model is constructed, and compensation power is calculated. Actual power is obtained according to the compensation power, power distribution is carried out on the sub-devices, and the completion state is displayed. Through the recipe accurate matching processing method, the cooking accuracy is improved, the cooking time is divided into different power stages, the energy utilization efficiency is improved, the actual power can be accurately adjusted, the overall energy efficiency is improved, the power distribution of the sub-devices is automatically adjusted, and the completion state is displayed; the user can know the cooking progress in real time, the intelligent level of the system is improved, and efficient, energy-saving and user-friendly cooking experience is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control, and in particular to a combined furnace heating control system based on the Internet of Things. Background Art

[0002] In recent years, intelligent control technology has been widely used in kitchen appliances. Many modern combination ovens are equipped with touch screens and intelligent control panels, allowing users to operate and monitor the cooking process more intuitively. The equipment is equipped with preset automatic cooking programs that automatically adjust time and temperature according to the type and weight of ingredients. The equipment records and analyzes usage data, and provides cooking suggestions and optimization solutions.

[0003] At present, a Chinese invention patent with publication number CN 1689374 A discloses a combined toaster and microwave oven and a control method thereof. The method stores heating time according to the type of bread and the degree of toasting, detects the internal temperature of the toaster, counts the time the heater needs to operate after stopping, and adjusts the heater heating time according to the counted time and the internal temperature of the toaster. However, the related art does not allocate power according to the food to be operated, lacks the applicability and flexibility of the control, does not compensate for the control errors, and lacks the comprehensiveness of the control. Summary of the invention

[0004] The technical problem solved by the present invention is that the related art does not distribute power according to the food to be processed, lacks the applicability and flexibility of control, does not compensate for the control errors, and lacks the comprehensiveness of control.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: A combined furnace heating control system based on the Internet of Things includes a collection module, an analysis module, a compensation module and a control module;

[0006] The acquisition module numbers the sub-equipment constituting the combined furnace, obtains a first number, and obtains task information, wherein the task information includes a task sequence number, a corresponding sub-equipment number, and a corresponding recipe;

[0007] The analysis module generates a task node according to the task sequence number, performs a second numbering on the task node, matches a corresponding processing method according to a recipe, wherein the processing method includes ingredients, processing steps of ingredients, time corresponding to the processing steps of ingredients, and calories corresponding to the processing steps of ingredients, calculates the power corresponding to the processing steps of ingredients according to the calories corresponding to the processing steps of ingredients, performs a third numbering on the processing steps of ingredients, obtains the time corresponding to the processing steps of any ingredient, divides the time corresponding to the processing steps of ingredients to obtain power stages, and sets the power value of each power stage;

[0008] The compensation module collects the heat at the end of the power stage and the corresponding interference parameter, sets the heat at the end of the power stage as the actual heat, obtains the heat corresponding to the processing step of the corresponding food, records it as the standard heat, calculates the difference between the actual heat and the standard heat, constructs a heat compensation model according to the difference, calculates the heat compensation value, calculates the compensation power according to the heat compensation value, and performs weighted calculation on the compensation power and the power corresponding to the processing step of the food to obtain the actual power;

[0009] The control module distributes power to the sub-devices according to the actual power and displays the completion status.

[0010] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, wherein: the acquisition module numbers the sub-devices constituting the combined furnace once to obtain a first number, the first number is a natural number, and the first number includes {Q1, Q2, ..., Q N}, where N is a natural number;

[0011] The acquisition module acquires task information, which is obtained through user input. The task information includes a task serial number, a corresponding sub-device number and a corresponding recipe.

[0012] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, wherein: the analysis module generates a task node according to the task sequence number, and renumbers the task node to obtain a second number, the second number corresponds to the first number, and the second number corresponding to Q1 includes {Q11, Q12, ..., Q 1M1}, the second number corresponding to Q2 includes {Q 21 , Q 22 , ..., Q 2M2},...,Q N The corresponding second number includes {Q N1 , Q N2 , ..., Q NMP}, where M1, M2, ..., MP are natural numbers.

[0013] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, wherein: the analysis module calls a recipe database, inputs the recipe into the recipe database, matches a processing method corresponding to the recipe, the processing method includes food, processing steps of food, time corresponding to the processing steps of food, and heat corresponding to the processing steps of food, calculates the power corresponding to the processing steps of food according to the heat corresponding to the processing steps of food, and the power corresponding to the processing steps of food is calculated by the relationship formula between heat and power;

[0014] The processing steps of the food are numbered three times to obtain a third number, and the expression of the third number is: Q NMP :D A , where A is a natural number, representing the third number of the processing step of any food ingredient;

[0015] The analysis module obtains the time corresponding to the processing steps of any food material, divides the time corresponding to the processing steps of the food material, obtains power stages, the power stages include a first power stage, a second power stage and a third power stage, and sets the power value of each power stage.

[0016] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, wherein: the logic of the power stage division includes: obtaining the time corresponding to the processing step of the food, dividing the time corresponding to the processing step of the food into three equal parts to obtain three sub-time periods, and setting the three sub-time periods as the first power stage, the second power stage and the third power stage respectively;

[0017] The setting logic of the power value of each power stage includes:

[0018] The power corresponding to the processing steps of the food is obtained, and a first ratio, a second ratio and a third ratio are respectively set as reduction factors of the power corresponding to the processing steps of the food, wherein the first ratio, the second ratio and the third ratio are in descending order and distributed between 0 and 1, and the products of the power corresponding to the processing steps of the food and the first ratio, the second ratio and the third ratio are respectively calculated and recorded as the first product, the second product and the third product, and the first product is set as the power of the first power stage, the second product is set as the power of the second power stage, and the third product is set as the power of the third power stage.

[0019] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, wherein: the compensation module collects the heat and corresponding interference parameters at the end of the power stage, the corresponding interference parameters include the corresponding ambient temperature, the corresponding ambient humidity and the corresponding ambient wind speed, the heat at the end of the power stage is set as the actual heat, the heat corresponding to the processing step of the corresponding food is obtained, recorded as the standard heat, and the difference between the actual heat and the standard heat is calculated, recorded as the first difference;

[0020] A multivariate regression analysis is performed with the first difference as the dependent variable and the corresponding interference parameters including the corresponding ambient temperature, the corresponding ambient humidity and the corresponding ambient wind speed as independent variables to obtain a heat compensation model, calculate the heat compensation value, calculate the compensation power based on the heat compensation value, and perform weighted calculation on the compensation power and the power corresponding to the processing step of the food to obtain the actual power.

[0021] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, the calculation expression of the heat compensation model is:

[0022]

[0023] Among them, y is the heat compensation value, k is the total number of independent variables, x i is the ith independent variable, C i is the coefficient corresponding to the ith independent variable.

[0024] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, wherein: the calculation logic of the compensation power is: obtaining a heat compensation value and a time corresponding to a food processing step, multiplying the heat compensation value and the time corresponding to the food processing step to obtain a first product, and setting the first product as the compensation power;

[0025] The compensation power is weightedly calculated with the power corresponding to the processing steps of the food to obtain the actual power.

[0026] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, wherein: the control module obtains the actual power, the corresponding first number, the corresponding second number and the corresponding third number, and distributes power to the sub-device, and the logic of the power distribution includes:

[0027] The first number corresponding to the equipment that needs to be started is set to 1, and the first number corresponding to the equipment that does not need to be started is set to 0. When the second numbers corresponding to the task numbers are sorted in ascending order, the processing steps of the ingredients corresponding to the task number with the smallest value are selected and recorded as the steps to be executed. The third number of the steps to be executed is obtained, and the actual power corresponding to the third number is used as the control power. The products of the control power and the first ratio, the second ratio and the third ratio are calculated respectively as the powers of the first power stage, the second power stage and the third power stage of the processing steps of the ingredients.

[0028] As a preferred solution of the combined furnace heating control system based on the Internet of Things described in the present invention, when the power reaches the actual power, a green light of a first brightness threshold is always on; when the power does not reach the actual power, a red light of a first brightness flashes and a working prompt sound of a first sound intensity is emitted;

[0029] When the green light of the first brightness threshold is always on, the control module displays the first number, the second number and the third number through the OLED display screen.

[0030] The beneficial effects of the present invention are as follows: task nodes are generated through task serial numbers, and processing methods are accurately matched by analyzing recipes, so that each cooking step is properly controlled in terms of heat and time, thereby improving the accuracy of cooking; by dividing the cooking time into different power stages and setting a specific power value for each stage, the system can optimize the heating process, improve energy utilization efficiency and avoid overheating; by monitoring the difference between the actual heat at the end of the power stage and the standard heat, a heat compensation model is constructed; through dynamic adjustment, heat errors caused by environmental changes or equipment differences are effectively compensated, thereby improving the consistency and reliability of cooking; by calculating the compensation power and weighting it with the set power, the actual power can be accurately adjusted, which can not only optimize the heating effect, but also reduce energy waste and improve overall energy efficiency; the control module automatically adjusts the power allocation of the sub-device according to the actual power, and displays the completion status, so that the user can understand the cooking progress in real time; by collecting task information, heat data and interference parameters, and using the analysis module for data processing and compensation, optimization decisions can be made based on real-time information, thereby improving the intelligence level of the system and achieving an efficient, energy-saving and user-friendly cooking experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A schematic diagram of the basic flow of a combined furnace heating control system based on the Internet of Things provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0032] 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 drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0033] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides a combined furnace heating control system based on the Internet of Things, including a collection module, an analysis module, a compensation module and a control module;

[0034] The acquisition module numbers the sub-equipment constituting the combined furnace, obtains a first number, and obtains task information, wherein the task information includes a task sequence number, a corresponding sub-equipment number, and a corresponding recipe;

[0035] The analysis module generates a task node according to the task sequence number, performs a second numbering on the task node, matches a corresponding processing method according to a recipe, wherein the processing method includes ingredients, processing steps of ingredients, time corresponding to the processing steps of ingredients, and calories corresponding to the processing steps of ingredients, calculates the power corresponding to the processing steps of ingredients according to the calories corresponding to the processing steps of ingredients, performs a third numbering on the processing steps of ingredients, obtains the time corresponding to the processing steps of any ingredient, divides the time corresponding to the processing steps of ingredients to obtain power stages, and sets the power value of each power stage;

[0036] The compensation module collects the heat at the end of the power stage and the corresponding interference parameter, sets the heat at the end of the power stage as the actual heat, obtains the heat corresponding to the processing step of the corresponding food, records it as the standard heat, calculates the difference between the actual heat and the standard heat, constructs a heat compensation model according to the difference, calculates the heat compensation value, calculates the compensation power according to the heat compensation value, and performs weighted calculation on the compensation power and the power corresponding to the processing step of the food to obtain the actual power;

[0037] The control module distributes power to the sub-devices according to the actual power and displays the completion status.

[0038] The present invention generates task nodes through task serial numbers, and accurately matches processing methods by analyzing recipes, so that each cooking step can obtain appropriate heat and time control, thereby improving the accuracy of cooking. By dividing the cooking time into different power stages and setting a specific power value for each stage, the system can optimize the heating process, improve energy utilization efficiency and avoid overheating. By monitoring the difference between the actual heat and the standard heat at the end of the power stage, a heat compensation model is constructed. Through dynamic adjustment, the heat error caused by environmental changes or equipment differences can be effectively compensated, thereby improving the consistency and reliability of cooking. By calculating the compensation power and weighting it with the set power, the actual power can be accurately adjusted, which can not only optimize the heating effect, but also reduce energy waste and improve the overall energy efficiency. The control module automatically adjusts the power distribution of the sub-device according to the actual power, and displays the completion status, so that the user can understand the cooking progress in real time. By collecting task information, heat data and interference parameters, and using the analysis module to process and compensate data, it can make optimization decisions based on real-time information, thereby improving the intelligence level of the system and achieving an efficient, energy-saving and user-friendly cooking experience.

[0039] The acquisition module numbers the sub-equipment constituting the combined furnace once to obtain a first number, where the first number is a natural number and includes {Q1, Q2, ..., QN}, where N is a natural number;

[0040] The acquisition module acquires task information, which is obtained through user input. The task information includes a task serial number, a corresponding sub-device number and a corresponding recipe.

[0041] In specific implementation, by numbering each sub-device (for example, {Q1, Q2, ..., QN}), each device can be clearly identified and managed, making device management and control more orderly, which helps to improve the overall coordination and maintenance efficiency of the system. Task information is obtained through user input, making the entry of task information flexible and customizable. Users can customize task content according to actual needs, and accurately match task information and recipes entered by users, allowing users to make personalized settings based on different ingredients and cooking needs, thereby improving the flexibility and accuracy of cooking.

[0042] The analysis module generates a task node according to the task sequence number, and renumbers the task node to obtain a second number, where the second number corresponds to the first number. The second number corresponding to Q1 includes {Q11, Q12, ..., Q1M1}, the second number corresponding to Q2 includes {Q21, Q22, ..., Q2M2}, ..., the second number corresponding to QN includes {QN1, QN2, ..., QNMP}, where M1, M2, ..., MP are natural numbers.

[0043] In the specific implementation, the secondary numbering corresponds one-to-one with the first numbering (such as Q1, Q2, etc.), so that the task steps of each device can be clearly identified and tracked, resulting in accurate matching of tasks and devices, reducing errors and confusion in task execution. By introducing secondary numbering, the system can handle more complex task scenarios, with each main device taking on multiple specific task steps, supporting more complex cooking processes and multi-step processing requirements.

[0044] The analysis module calls a recipe database, inputs the recipe into the recipe database, matches a processing method corresponding to the recipe, wherein the processing method includes ingredients, processing steps of ingredients, time corresponding to the processing steps of ingredients, and calories corresponding to the processing steps of ingredients, and calculates power corresponding to the processing steps of ingredients based on the calories corresponding to the processing steps of ingredients, wherein the power corresponding to the processing steps of ingredients is calculated by a relationship formula between calories and power;

[0045] The processing steps of the food are numbered three times to obtain a third number, and the expression of the third number is: Q NMP :D A , where A is a natural number, representing the third number of the processing step of any food ingredient;

[0046] The analysis module obtains the time corresponding to the processing steps of any food material, divides the time corresponding to the processing steps of the food material, obtains power stages, the power stages include a first power stage, a second power stage and a third power stage, and sets the power value of each power stage.

[0047] In the specific implementation, by calling the recipe database and matching the processing method, the analysis module calculates the corresponding power according to the heat of each step. Based on the relationship formula between heat and power, precise control of the cooking process is ensured. By numbering the processing steps of the ingredients three times, each step is clearly identified and tracked, which enhances the organization of the task and the accuracy of management. The processing time is divided into multiple power stages, and specific power values ​​are set for each stage, which improves the system's adaptability to different cooking stages and the accuracy of power regulation.

[0048] The logic of power stage division includes: obtaining the time corresponding to the processing step of the food, dividing the time corresponding to the processing step of the food into three equal parts to obtain three sub-time periods, and setting the three sub-time periods as the first power stage, the second power stage and the third power stage respectively;

[0049] The setting logic of the power value of each power stage includes:

[0050] The power corresponding to the processing steps of the food is obtained, and a first ratio, a second ratio and a third ratio are respectively set as reduction factors of the power corresponding to the processing steps of the food, wherein the first ratio, the second ratio and the third ratio are in descending order and distributed between 0 and 1, and the products of the power corresponding to the processing steps of the food and the first ratio, the second ratio and the third ratio are respectively calculated and recorded as the first product, the second product and the third product, and the first product is set as the power of the first power stage, the second product is set as the power of the second power stage, and the third product is set as the power of the third power stage.

[0051] In specific implementation, the time of the processing steps is divided into three sub-time periods, corresponding to three power stages respectively. Different power levels are applied in different time periods to improve the accuracy of the cooking process. By setting the first, second and third ratios as reduction factors, the power value of each power stage is calculated in turn, and the ratio value is gradually reduced, thereby reducing the power of each stage, which is beneficial to saving energy and improving the environmental protection of the equipment.

[0052] The compensation module collects the heat and corresponding interference parameters at the end of the power stage, wherein the corresponding interference parameters include the corresponding ambient temperature, the corresponding ambient humidity and the corresponding ambient wind speed, sets the heat at the end of the power stage as the actual heat, obtains the heat corresponding to the processing step of the corresponding food, records it as the standard heat, calculates the difference between the actual heat and the standard heat, and records it as the first difference;

[0053] A multivariate regression analysis is performed with the first difference as the dependent variable and the corresponding interference parameters including the corresponding ambient temperature, the corresponding ambient humidity and the corresponding ambient wind speed as independent variables to obtain a heat compensation model, calculate the heat compensation value, calculate the compensation power based on the heat compensation value, and perform weighted calculation on the compensation power and the power corresponding to the processing step of the food to obtain the actual power.

[0054] The calculation expression of the heat compensation model is:

[0055]

[0056] Among them, y is the heat compensation value, k is the total number of independent variables, x i is the ith independent variable, C i is the coefficient corresponding to the ith independent variable.

[0057] The calculation logic of the compensation power is: obtaining a heat compensation value and a time corresponding to a food processing step, multiplying the heat compensation value and the time corresponding to the food processing step to obtain a first product, and setting the first product as the compensation power;

[0058] The compensation power is weightedly calculated with the power corresponding to the processing steps of the food to obtain the actual power.

[0059] In specific implementation, by considering environmental interference parameters, the heat compensation model can accurately adjust the actual power to make it closer to the standard heat, thereby improving the accuracy of the processing process. The calculation and weighted adjustment of the compensation power ensure the rationality of power distribution, reduce errors caused by environmental factors, and improve the overall cooking or processing effect. Real-time monitoring and dynamic adjustment of power to cope with environmental changes improves the stability and reliability of equipment operation.

[0060] The control module obtains the actual power, the corresponding first number, the corresponding second number and the corresponding third number, and distributes power to the sub-device, and the logic of the power distribution includes:

[0061] The first number corresponding to the equipment that needs to be started is set to 1, and the first number corresponding to the equipment that does not need to be started is set to 0. When the second numbers corresponding to the task numbers are sorted in ascending order, the processing steps of the ingredients corresponding to the task number with the smallest value are selected and recorded as the steps to be executed. The third number of the steps to be executed is obtained, and the actual power corresponding to the third number is used as the control power. The products of the control power and the first ratio, the second ratio and the third ratio are calculated respectively as the powers of the first power stage, the second power stage and the third power stage of the processing steps of the ingredients.

[0062] When the power reaches the actual power, a green light of a first brightness threshold is always on; when the power does not reach the actual power, a red light of a first brightness flashes and a working prompt tone of a first sound intensity is emitted;

[0063] When the green light of the first brightness threshold is always on, the control module displays the first number, the second number and the third number through the OLED display screen.

[0064] In specific implementation, by precisely controlling the startup and power distribution of the equipment, each device can use power reasonably according to its needs, thereby improving the overall system efficiency. The task numbers are sorted in ascending order and the steps with the smallest number are selected to ensure that key tasks are processed first, thereby improving processing efficiency and response speed. The power distribution is more accurate and adapted to the needs of different processing stages based on calculations based on actual power and proportions, thereby enhancing the flexibility and reliability of the system. The indication method of a permanently green light and a flashing red light provides clear power status feedback, allowing operators to quickly understand the equipment's operating status. The equipment number information is displayed on the OLED display, allowing users to view and confirm the equipment status in real time, thereby improving the convenience and transparency of operation.

[0065] The present invention generates task nodes through task serial numbers, and accurately matches processing methods by analyzing recipes, so that each cooking step can obtain appropriate heat and time control, thereby improving the accuracy of cooking. By dividing the cooking time into different power stages and setting a specific power value for each stage, the system can optimize the heating process, improve energy utilization efficiency and avoid overheating. By monitoring the difference between the actual heat and the standard heat at the end of the power stage, a heat compensation model is constructed. Through dynamic adjustment, the heat error caused by environmental changes or equipment differences can be effectively compensated, thereby improving the consistency and reliability of cooking. By calculating the compensation power and weighting it with the set power, the actual power can be accurately adjusted, which can not only optimize the heating effect, but also reduce energy waste and improve the overall energy efficiency. The control module automatically adjusts the power distribution of the sub-device according to the actual power, and displays the completion status, so that the user can understand the cooking progress in real time. By collecting task information, heat data and interference parameters, and using the analysis module to process and compensate data, it can make optimization decisions based on real-time information, thereby improving the intelligence level of the system and achieving an efficient, energy-saving and user-friendly cooking experience.

[0066] It should be understood by those skilled in the art that the embodiments of the present invention can be provided as methods, systems or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0067] 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. The combined furnace heating control system based on the Internet of Things is characterized by: It includes an acquisition module, an analysis module, a compensation module and a control module; The acquisition module numbers the sub-equipment constituting the combined furnace, obtains a first number, and obtains task information, wherein the task information includes a task sequence number, a corresponding sub-equipment number, and a corresponding recipe; The analysis module generates a task node according to the task sequence number, performs a second numbering on the task node, matches a corresponding processing method according to a recipe, wherein the processing method includes ingredients, processing steps of ingredients, time corresponding to the processing steps of ingredients, and calories corresponding to the processing steps of ingredients, calculates the power corresponding to the processing steps of ingredients according to the calories corresponding to the processing steps of ingredients, performs a third numbering on the processing steps of ingredients, obtains the time corresponding to the processing steps of any ingredient, divides the time corresponding to the processing steps of ingredients to obtain power stages, and sets the power value of each power stage; The compensation module collects the heat at the end of the power stage and the corresponding interference parameter, sets the heat at the end of the power stage as the actual heat, obtains the heat corresponding to the processing step of the corresponding food, records it as the standard heat, calculates the difference between the actual heat and the standard heat, constructs a heat compensation model according to the difference, calculates the heat compensation value, calculates the compensation power according to the heat compensation value, and performs weighted calculation on the compensation power and the power corresponding to the processing step of the food to obtain the actual power; The control module distributes power to the sub-devices according to the actual power and displays the completion status.

2. The combined furnace heating control system based on the Internet of Things as claimed in claim 1, characterized in that: The acquisition module numbers the sub-equipment constituting the combined furnace to obtain a first number, where the first number is a natural number and includes {Q1, Q2, ..., Q N }, where N is a natural number; The acquisition module acquires task information, which is obtained through user input. The task information includes a task serial number, a corresponding sub-device number and a corresponding recipe.

3. The combined furnace heating control system based on the Internet of Things as claimed in claim 1, characterized in that: The analysis module generates a task node according to the task sequence number, and renumbers the task node to obtain a second number, wherein the second number corresponds to the first number, and the second number corresponding to Q1 includes {Q11, Q12, ..., Q 1M1 }, the second number corresponding to Q2 includes {Q 21 , Q 22 , ..., Q 2M2 },...,Q N The corresponding second number includes {Q N1 , Q N2 , ..., Q NMP }, where M1, M2, ..., MP are natural numbers.

4. The combined furnace heating control system based on the Internet of Things as claimed in claim 3, characterized in that: The analysis module calls a recipe database, inputs the recipe into the recipe database, matches a processing method corresponding to the recipe, wherein the processing method includes ingredients, processing steps of ingredients, time corresponding to the processing steps of ingredients, and calories corresponding to the processing steps of ingredients, and calculates power corresponding to the processing steps of ingredients based on the calories corresponding to the processing steps of ingredients, wherein the power corresponding to the processing steps of ingredients is calculated by a relationship formula between calories and power; The processing steps of the food are numbered three times to obtain a third number, and the expression of the third number is: Q NMP :D A , where A is a natural number, representing the third number of the processing step of any food ingredient; The analysis module obtains the time corresponding to the processing steps of any food material, divides the time corresponding to the processing steps of the food material, obtains power stages, the power stages include a first power stage, a second power stage and a third power stage, and sets the power value of each power stage.

5. The combined furnace heating control system based on the Internet of Things as claimed in claim 4, characterized in that: The logic of power stage division includes: obtaining the time corresponding to the processing step of the food, dividing the time corresponding to the processing step of the food into three equal parts to obtain three sub-time periods, and setting the three sub-time periods as the first power stage, the second power stage and the third power stage respectively; The setting logic of the power value of each power stage includes: The power corresponding to the processing steps of the food is obtained, and a first ratio, a second ratio and a third ratio are respectively set as reduction factors of the power corresponding to the processing steps of the food, wherein the first ratio, the second ratio and the third ratio are in descending order and distributed between 0 and 1, and the products of the power corresponding to the processing steps of the food and the first ratio, the second ratio and the third ratio are respectively calculated and recorded as the first product, the second product and the third product, and the first product is set as the power of the first power stage, the second product is set as the power of the second power stage, and the third product is set as the power of the third power stage.

6. The combined furnace heating control system based on the Internet of Things as claimed in claim 1, characterized in that: The compensation module collects the heat and corresponding interference parameters at the end of the power stage, wherein the corresponding interference parameters include the corresponding ambient temperature, the corresponding ambient humidity and the corresponding ambient wind speed, sets the heat at the end of the power stage as the actual heat, obtains the heat corresponding to the processing step of the corresponding food, records it as the standard heat, calculates the difference between the actual heat and the standard heat, and records it as the first difference; A multivariate regression analysis is performed with the first difference as the dependent variable and the corresponding interference parameters including the corresponding ambient temperature, the corresponding ambient humidity and the corresponding ambient wind speed as independent variables to obtain a heat compensation model, calculate the heat compensation value, calculate the compensation power based on the heat compensation value, and perform weighted calculation on the compensation power and the power corresponding to the processing step of the food to obtain the actual power.

7. The combined furnace heating control system based on the Internet of Things as claimed in claim 6, characterized in that: The calculation expression of the heat compensation model is: Among them, y is the heat compensation value, k is the total number of independent variables, x i is the ith independent variable, C i is the coefficient corresponding to the ith independent variable.

8. The combined furnace heating control system based on the Internet of Things as claimed in claim 6, characterized in that: The calculation logic of the compensation power is: obtaining a heat compensation value and a time corresponding to a food processing step, multiplying the heat compensation value and the time corresponding to the food processing step to obtain a first product, and setting the first product as the compensation power; The compensation power is weightedly calculated with the power corresponding to the processing steps of the food to obtain the actual power.

9. The combined furnace heating control system based on the Internet of Things as claimed in claim 1, characterized in that: The control module obtains the actual power, the corresponding first number, the corresponding second number and the corresponding third number, and distributes power to the sub-device, and the logic of the power distribution includes: The first number corresponding to the equipment that needs to be started is set to 1, and the first number corresponding to the equipment that does not need to be started is set to 0. When the second numbers corresponding to the task numbers are sorted in ascending order, the processing steps of the ingredients corresponding to the task number with the smallest value are selected and recorded as the steps to be executed. The third number of the steps to be executed is obtained, and the actual power corresponding to the third number is used as the control power. The products of the control power and the first ratio, the second ratio and the third ratio are calculated respectively as the powers of the first power stage, the second power stage and the third power stage of the processing steps of the ingredients.

10. The combined furnace heating control system based on the Internet of Things as claimed in claim 9, characterized in that: When the power reaches the actual power, a green light of a first brightness threshold is always on; when the power does not reach the actual power, a red light of a first brightness flashes and a working prompt tone of a first sound intensity is emitted; When the green light of the first brightness threshold is always on, the control module displays the first number, the second number and the third number through the OLED display screen.

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