Energy-saving temperature control system of curing oven and temperature control method of energy-saving temperature control system

Abstract

The invention discloses an energy-saving temperature control system of a roasting oven and a temperature control method of the energy-saving temperature control system, and relates to the technical field of cooking equipment control, and the system comprises a heating module which is used for uniformly heating the oven according to a preset temperature target in a preheating stage; the temperature acquisition module comprises a plurality of temperature sensors arranged in the oven and is used for acquiring temperature data of different positions in the oven in real time, specifically, adaptive sliding mode control is applied, and when temperature change is detected, sliding mode control makes a response by adjusting sampling frequency and filtering parameters of the sensors; according to the energy-saving temperature control system of the curing oven and the temperature control method of the energy-saving temperature control system, the problems of low baking efficiency and unstable baking quality caused by uneven temperature of a traditional oven are solved, the oven can keep stable and reliable performance in different cooking modes, the temperature and heat distribution in the oven can be automatically monitored and adjusted, and the energy-saving temperature control system of the curing oven and the temperature control method of the energy-saving temperature control system of the curing oven are suitable for popularization and application. And the operation of a user in the baking process is simpler and more convenient.

Description

Technical Field

[0001] The present invention relates to the technical field of cooking equipment control, and in particular to an energy-saving temperature control system and a temperature control method of a barbecue oven. Background Art

[0002] In modern kitchen equipment, ovens are commonly used heating and cooking equipment, widely used in homes and commercial occasions. Ovens provide heat through heating elements to bake food in a high temperature environment, thereby achieving heating, cooking and baking of different types of food. However, existing oven equipment often has the phenomenon of uneven internal heat distribution during high-temperature baking. The occurrence of this problem is mainly related to factors such as the internal design of the oven, the layout of the heating elements, and the heat convection effect.

[0003] Uneven heat distribution often leads to excessively high temperatures in some local areas, which in turn causes uneven baking. These local excessive temperatures can cause some parts of the food to be over-baked or even burnt, while other parts may still be undercooked, affecting the overall taste and appearance of the food. In addition, the problem of uneven temperature distribution may also increase the energy consumption of the oven, prolong the baking time, and reduce the baking efficiency. Although some existing oven technologies have improved the internal heat circulation and distribution problems by adding fans and adjusting the layout of heating elements, it is still difficult to completely eliminate the phenomenon of local excessive temperatures due to the limited heat convection and radiation inside the oven. Summary of the invention

[0004] The purpose of the present invention is to provide an energy-saving temperature control system and a temperature control method for a barbecue oven, which solves the problem in the prior art that uneven heat distribution often leads to excessively high temperatures in local areas, thereby causing uneven baking, affecting the overall taste and appearance of the food, increasing the energy consumption of the oven, prolonging the baking time, and reducing the baking efficiency.

[0005] To achieve the above object, the present invention provides the following technical solution: an energy-saving temperature control system for a barbecue oven, the system comprising:

[0006] A heating module is used to evenly heat the oven according to a preset temperature target during the preheating phase;

[0007] The temperature acquisition module includes multiple temperature sensors arranged inside the oven, which are used to collect temperature data at different positions in the oven in real time. Specifically, adaptive sliding mode control is applied to adjust the sampling frequency and filtering parameters of the sensor. When temperature changes are detected, the sliding mode control responds. The sliding mode control law formula is:

[0008] u=(1σ)·[K s ·sgn(s)+f(x,t)];

[0009] Where u represents the control output, σ represents the slope of the sliding surface, and K s represents gain, sgn(s) represents the sign function, f(x, t) represents external disturbance, x represents the state variable, and t represents time;

[0010] The power regulating module connected to the temperature acquisition module and the heating module is used to dynamically adjust the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven;

[0011] The intelligent temperature control module connected to the power regulation module is used to enter the holding mode and control the temperature in the oven when the temperature in the oven reaches a preset temperature;

[0012] The PID control module integrated in the intelligent temperature control module is used to accurately adjust the power output of the heating module through the PID algorithm in the holding mode;

[0013] The fan speed control module connected to the temperature acquisition module is used to automatically adjust the fan speed according to the temperature distribution inside the oven monitored by the temperature acquisition module to optimize the heat distribution inside the oven. Specifically, the fan speed is adjusted according to the temperature acquisition module data of each temperature zone. The heat balance formula inside the oven is:

[0014] ΔE=E in -E out ;

[0015] Where ΔE represents the net change in heat inside the oven, E in represents the total heat input into the oven system, E out Represents the total heat output from the oven system.

[0016] Preferably, the heating module uniformly heats the oven according to a preset temperature target during the preheating stage, including:

[0017] Finite element analysis is used to simulate the heat conduction inside the oven. By discretizing the geometric structure of the oven into finite elements, the temperature distribution at various locations inside the oven under different heating conditions is simulated and calculated. According to the simulation results, the layout of the heating elements is optimized and the power distribution is adjusted. In the finite element analysis, the discretization formula for heat conduction is:

[0018] KT = Q;

[0019] Among them, K represents the heat transfer coefficient matrix, T represents the temperature vector, and Q represents the heat source vector.

[0020] Preferably, the power adjustment module dynamically adjusts the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven, including:

[0021] Use the temperature sensor to measure the internal temperature of the oven in real time, and calculate the deviation between the temperature and the target temperature. Use the feedback gain coefficient and the real-time temperature error to calculate the current power output. The calculated power output is used as the real-time power input of the heating module. The power output calculation formula is:

[0022] u(t)=-K·e(t)+u0;

[0023] Among them, u(t) represents the power output of the heating module, K represents the feedback gain coefficient, e(t) represents the real-time temperature error, and u0 represents the initial power setting value.

[0024] Preferably, when the temperature in the oven reaches a preset temperature, the intelligent temperature control module enters a holding mode, and controls the temperature in the oven including:

[0025] The temperature change inside the oven is regarded as a path that changes over time. The temperature difference inside the oven is regarded as part of the action. The total action of each path is calculated. The state probability of each path is calculated by integration to determine the optimal temperature control path. The power of the heating module is adjusted in real time according to the optimal path. The specific public statement is as follows:

[0026]

[0027] Where Z represents the set of all possible temperature change paths of the oven temperature control system. represents the probability distribution of all possible temperature paths q(t) of the system within time t, t represents time, q(t) represents the temperature change path inside the oven, S[q(t)] represents the energy consumption of the temperature change path inside the oven, a represents the scale factor, and i represents the imaginary unit.

[0028] Preferably, the PID control module accurately adjusts the power output of the heating module by using a PID algorithm in the holding mode, including:

[0029] Based on the historical data of the temperature control system, the probability of each temperature state is calculated, and the entropy value of the temperature state distribution is calculated according to the probability of each state. By increasing or decreasing the power output of the heating module, the entropy value of the temperature state distribution is controlled to maximize the entropy value. The specific public statement is:

[0030]

[0031] Among them, H represents the entropy value, p j It represents the probability that the temperature control system is in different temperature states, n represents the total number of temperature states, and j represents the different temperature state numbers.

[0032] Preferably, the power adjustment module dynamically adjusts the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven, including:

[0033] Calculate the temperature deviation value based on the real-time temperature data of each temperature sensor;

[0034] Determine whether the temperature deviation value exceeds a preset threshold;

[0035] If a preset threshold is exceeded, the power output of the heating element in the corresponding area is increased;

[0036] If the preset threshold is not exceeded, maintaining the current power output of the heating element;

[0037] The temperature deviation value refers to the difference between the temperature measured by each temperature sensor in real time and the preset temperature target, and the preset threshold value is the set maximum allowable temperature deviation value.

[0038] Preferably, the calculating of the temperature deviation value based on the real-time temperature data of each temperature sensor includes:

[0039] Collect real-time temperature data from each temperature sensor at different time points;

[0040] Calculate the average temperature based on the real-time temperature data of each temperature sensor;

[0041] Subtract the calculated average temperature from the preset temperature target to obtain the temperature deviation value;

[0042] If the temperature deviation is greater than ΔT, the heating element power adjustment is triggered;

[0043] Wherein, ΔT represents the preset maximum allowable temperature deviation value.

[0044] Preferably, the calculating the average temperature based on the real-time temperature data of each temperature sensor specifically includes:

[0045] Get the real-time temperature value T1, T2, ..., T of each temperature sensor n ;

[0046] Calculate the sum of these temperature values ​​ΣT i ;

[0047] The sum ΣT i Divide by the number of temperature sensors N to get the average temperature: ΣT i / N;

[0048] If |T max -T min |>δ, then recalculate the average temperature;

[0049] Among them, Tmax Indicates the maximum value of the real-time temperature, T min It represents the minimum value of the real-time temperature, and δ represents the set maximum temperature difference threshold.

[0050] Preferably, if |T max -T min |>δ, then recalculating the average temperature includes:

[0051] Eliminate T max and T min Temperature value;

[0052] Re-obtain the temperature values ​​of the remaining temperature sensors T1, T2, ..., T m ;

[0053] Calculate the sum of the remaining temperature values ​​ΣT k ;

[0054] The sum ΣT k Divide by the remaining number of temperature sensors m to get the new average temperature ΣT k / m;

[0055] If the difference between the newly calculated average temperature and the initial average temperature is greater than ε, the power output of the heating element is further adjusted, specifically including calculating the difference ΔT between the new average temperature and the initial average temperature. avg Equal to the new average temperature minus the initial average temperature;

[0056] If ΔT avg >ε, the power output increases;

[0057] If ΔT avg <ε, then reduce the power output;

[0058] If ΔT avg =ε, then maintain the current power output;

[0059] Wherein, ε represents the set average temperature change threshold.

[0060] An energy-saving temperature control method for a barbecue oven, using the energy-saving temperature control system of the barbecue oven, the method comprising:

[0061] S1. During the preheating stage of the oven, the heating module uniformly heats the oven according to a preset temperature target;

[0062] S2, using a plurality of temperature sensors arranged inside the oven in the temperature acquisition module to collect temperature data at different positions in the oven in real time;

[0063] S3, based on the real-time temperature data of the temperature acquisition module, dynamically adjust the power output of each heating module through the power adjustment module connected to the temperature acquisition module and the heating module to maintain a uniform temperature inside the oven;

[0064] S4. When the temperature inside the oven reaches the preset temperature, the intelligent temperature control module connected to the power regulation module enters the temperature holding mode and accurately controls the temperature inside the oven;

[0065] S5. In the temperature holding mode, the PID control module integrated in the intelligent temperature control module is used to accurately adjust the power output of the heating module through the PID algorithm to maintain the target temperature in the oven;

[0066] S6. According to the temperature distribution inside the oven monitored by the temperature acquisition module, the fan speed control module connected to the temperature acquisition module is used to automatically adjust the fan speed to optimize the heat distribution in the oven and achieve uniform temperature.

[0067] It can be seen from the above technical solution that the present invention has the following beneficial effects:

[0068] The energy-saving temperature control system and temperature control method of the roast meat oven use a heating module to evenly heat the oven according to a preset temperature target during the preheating stage. The temperature acquisition module includes a plurality of temperature sensors arranged inside the oven to collect temperature data at different positions in the oven in real time. The power regulation module dynamically adjusts the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven. When the temperature inside the oven reaches a preset temperature, the intelligent temperature control module enters a holding mode and controls the temperature inside the oven. The PID control module accurately adjusts the power output of the heating module through a PID algorithm in the holding mode. The fan speed regulation module automatically adjusts the fan speed according to the temperature distribution inside the oven monitored by the temperature acquisition module. The fan speed optimizes the heat distribution in the oven, making the heat distribution inside the oven more even, reducing the phenomenon of excessively high or low temperatures in local areas, avoiding over-baking or burning of food caused by excessively high local temperatures, and effectively reducing unnecessary heating time and power waste, thereby achieving energy-saving effects, reducing the energy consumption of the oven, avoiding prolonged baking time due to uneven local temperatures, thereby improving baking efficiency, and avoiding the problems of low baking efficiency and unstable baking quality caused by uneven temperatures in traditional ovens. The oven can maintain stable and reliable performance in different cooking modes, and can automatically monitor and adjust the temperature and heat distribution in the oven, reducing dependence on manual operations, making it easier for users to operate during the baking process. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 This is a schematic diagram of the connection of the system modules of the present invention;

[0070] Figure 2 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] like Figure 1 As shown, an energy-saving temperature control system for a barbecue oven, the system comprising:

[0073] A heating module is used to evenly heat the oven according to a preset temperature target during the preheating phase;

[0074] The temperature acquisition module includes multiple temperature sensors arranged inside the oven, which are used to collect temperature data at different positions in the oven in real time. Specifically, adaptive sliding mode control is applied to adjust the sampling frequency and filtering parameters of the sensor. When temperature changes are detected, the sliding mode control responds. The sliding mode control law formula is:

[0075] u=(1σ)·[K s ·sgn(s)+f(x,t)];

[0076] Where u represents the control output, σ represents the slope of the sliding surface, and K s represents gain, sgn(s) represents the sign function, f(x, t) represents external disturbance, x represents the state variable, and t represents time;

[0077] The power regulating module connected to the temperature acquisition module and the heating module is used to dynamically adjust the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven;

[0078] The intelligent temperature control module connected to the power regulation module is used to enter the holding mode and control the temperature in the oven when the temperature in the oven reaches a preset temperature;

[0079] The PID control module integrated in the intelligent temperature control module is used to accurately adjust the power output of the heating module through the PID algorithm in the holding mode;

[0080] The fan speed control module connected to the temperature acquisition module is used to automatically adjust the fan speed according to the temperature distribution inside the oven monitored by the temperature acquisition module to optimize the heat distribution inside the oven. Specifically, the fan speed is adjusted according to the temperature acquisition module data of each temperature zone. The heat balance formula inside the oven is:

[0081] ΔE=E in -E out ;

[0082] Where ΔE represents the net change in heat inside the oven, E in represents the total heat input into the oven system, E out Represents the total heat output from the oven system.

[0083] The core principle of this energy-saving temperature control system is to collect the internal temperature of the oven in real time and use the sliding mode control algorithm to process the collected data. Sliding mode control can provide fast response when the temperature changes, and can track the temperature changes in real time by adjusting the sampling frequency and filtering parameters to achieve efficient temperature control. In addition, the power regulation module and the intelligent temperature control module are used in conjunction. The intelligent temperature control module uses the PID control algorithm to accurately adjust the output power of the heating module in the holding mode to maintain the set temperature. The fan speed control module adjusts the fan speed according to the temperature difference in each area to promote the uniform distribution of heat in the oven, thereby optimizing the heat balance and ensuring the stability of the internal temperature of the oven. The main beneficial effect of this system is that it greatly improves the energy saving efficiency and temperature uniformity of the oven. Sliding mode control can adapt to complex temperature changes, respond quickly to temperature fluctuations, and improve control accuracy. The PID control in the intelligent temperature control module further enhances the precise control of temperature and ensures that the temperature is stable at the target set value. The fan speed control module optimizes the heat distribution by adjusting the wind speed, reducing the energy waste caused by uneven temperature, thereby significantly reducing the energy consumption of the oven and extending the service life of the equipment. In addition, the system can be dynamically adjusted based on real-time temperature data, allowing it to operate efficiently in different usage scenarios.

[0084] The heating module heats the oven evenly according to the preset temperature target during the preheating phase, including:

[0085] Finite element analysis is used to simulate the heat conduction inside the oven. By discretizing the geometric structure of the oven into finite elements, the temperature distribution at various locations inside the oven under different heating conditions is simulated and calculated. According to the simulation results, the layout of the heating elements is optimized and the power distribution is adjusted. In the finite element analysis, the discretization formula for heat conduction is:

[0086] KT = Q;

[0087] Among them, K represents the heat transfer coefficient matrix, T represents the temperature vector, and Q represents the heat source vector.

[0088] The heating module of the system accurately models the heat conduction behavior inside the oven through finite element analysis, and calculates the temperature distribution of the oven under different heating conditions. Through the simulation results, the temperature distribution diagram inside the oven can be obtained, so as to determine the optimal layout and power output distribution of the heating elements. According to the heat conduction formula KT=Q, the system can adjust the power output of the heating module based on real-time temperature data to ensure uniform temperature distribution. In this way, the system can effectively reduce the temperature unevenness during the heating process and make the temperature of each point inside the oven tend to be consistent. The beneficial effect of this embodiment is that through simulation analysis and accurate heat conduction model, the uniformity of temperature distribution inside the oven can be significantly improved. The optimized layout and power distribution of heating elements reduce the generation of overheating or cold spots, make the temperature inside the oven more uniform, avoid the problem of local overheating, and thus improve the baking quality. The introduction of finite element analysis enables the system to achieve the set temperature target with minimal energy consumption during the preheating stage, thereby greatly saving energy. In addition, due to more precise temperature control, the stability and service life of the equipment operation are also improved.

[0089] The power regulation module dynamically adjusts the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven, including:

[0090] Use the temperature sensor to measure the internal temperature of the oven in real time, and calculate the deviation between the temperature and the target temperature. Use the feedback gain coefficient and the real-time temperature error to calculate the current power output. The calculated power output is used as the real-time power input of the heating module. The power output calculation formula is:

[0091] u(t)=-N·e(t)+u0;

[0092] Among them, u(t) represents the power output of the heating module, K represents the feedback gain coefficient, e(t) represents the real-time temperature error, and u0 represents the initial power setting value.

[0093] The working principle of the power regulation module is to adjust the power output of the heating module by using the real-time temperature error value through the feedback control strategy. The temperature sensor continuously monitors the internal temperature of the oven and compares it with the target temperature to generate a temperature deviation. The power regulation module calculates the appropriate power output based on the deviation value to correct the current temperature deviation. The introduction of the feedback gain coefficient K ensures that the power output can respond quickly to temperature changes, thereby speeding up the temperature adjustment process and improving the control accuracy of the system. This adjustment mechanism makes the temperature distribution inside the oven more uniform, avoiding local overheating or overcooling. Through the feedback control strategy, this embodiment can dynamically adjust the heating power according to the real-time temperature data of the temperature acquisition module, significantly improving the response speed and accuracy of the temperature control system. Real-time temperature adjustment reduces temperature fluctuations, keeps the temperature of each area inside the oven uniform, reduces the energy waste caused by uneven temperature, and improves the energy saving effect of the oven. At the same time, since the system can autonomously adjust the power output, it effectively extends the service life of the heating element and improves the reliability and stability of the equipment.

[0094] When the temperature in the oven reaches the preset temperature, the intelligent temperature control module enters the holding mode and controls the temperature in the oven including:

[0095] The temperature change inside the oven is regarded as a path that changes over time. The temperature difference inside the oven is regarded as part of the action. The total action of each path is calculated. The state probability of each path is calculated by integration to determine the optimal temperature control path. The power of the heating module is adjusted in real time according to the optimal path. The specific public statement is as follows:

[0096]

[0097] Where Z represents the set of all possible temperature change paths of the oven temperature control system. represents the probability distribution of all possible temperature paths q(t) of the system within time t, t represents time, q(t) represents the temperature change path inside the oven, S[q(t)] represents the energy consumption of the temperature change path inside the oven, a represents the scale factor, and i represents the imaginary unit.

[0098] The intelligent temperature control module analyzes the dynamic changes of the temperature in the oven, regards the temperature change process as a time path, and calculates the action and probability distribution of each path. The optimal temperature control path is identified by the path integration method. The temperature control module adjusts the power output of the heating module accordingly, so that the temperature distribution inside the oven is uniform and stable near the set value. This method can not only respond to temperature changes quickly, but also reduce energy consumption while ensuring uniform temperature. This implementation method can achieve precise control of the oven temperature by the path integration method in the holding mode. This method can effectively balance the temperature difference inside the oven, make the temperature of each area tend to be uniform, and reduce the phenomenon of local overheating. The intelligent temperature control module adjusts the power output according to the optimal path, while reducing energy consumption, achieving stable temperature control, thereby further improving the energy-saving effect of the oven. This method can also improve the response speed of the temperature control system, extend the service life of the heating element, and reduce maintenance costs.

[0099] The PID control module uses the PID algorithm to accurately adjust the power output of the heating module in the holding mode, including:

[0100] Based on the historical data of the temperature control system, the probability of each temperature state is calculated, and the entropy value of the temperature state distribution is calculated according to the probability of each state. By increasing or decreasing the power output of the heating module, the entropy value of the temperature state distribution is controlled to maximize the entropy value. The specific public statement is:

[0101]

[0102] Among them, H represents the entropy value, p j It represents the probability that the temperature control system is in different temperature states, n represents the total number of temperature states, and j represents the different temperature state numbers.

[0103] The PID control module quantifies the uniformity of the temperature state distribution by calculating the entropy value based on the historical temperature data of the system. In the holding mode, the PID control algorithm adjusts the power output according to the real-time temperature feedback to ensure that the probability distribution of the temperature state is as uniform as possible. By adjusting the power output, the entropy value of the system tends to the maximum, and stable temperature control is achieved. The accuracy of the PID algorithm ensures the rapid response and temperature uniformity of the system under various temperature states, thereby improving the temperature control effect inside the oven. Through the entropy value calculation and adjustment of the PID control module, this embodiment can accurately control the power output of the heating module, making the temperature distribution inside the oven more uniform. The application of the PID algorithm enables the system to operate efficiently in the holding mode, avoiding overheating or temperature fluctuations, thereby improving the energy-saving effect of the oven. The maximum entropy value control strategy further improves the stability of temperature control, allowing the oven to maintain the set temperature during long-term operation, extending the service life of the equipment and reducing energy consumption.

[0104] The power regulation module dynamically adjusts the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven, including calculating the temperature deviation value based on the real-time temperature data of each temperature sensor, and judging whether the temperature deviation value exceeds the preset threshold value. If it exceeds the preset threshold value, the power output of the heating element in the corresponding area is increased; if it does not exceed the preset threshold value, the current power output of the heating element is maintained, wherein the temperature deviation value refers to the difference between the temperature measured by each temperature sensor in real time and the preset temperature target, and the preset threshold value is the set maximum allowable temperature deviation value.

[0105] The core principle of this power regulation module is to dynamically adjust the power output of each heating module by comparing the temperature deviation value with the preset threshold. When the temperature of a certain area is lower than the target temperature, the temperature deviation is corrected by increasing the heating power, so as to achieve uniform heating inside the entire oven. This adjustment method can quickly respond to temperature fluctuations and ensure that the temperature at different locations is stable within the set range. This implementation method can timely adjust the power output of the heating module according to real-time temperature data, reduce temperature unevenness, and make the temperature distribution inside the oven more uniform. At the same time, the automated adjustment process reduces the need for manual operation and improves the energy-saving effect of the system. By adjusting the power distribution of each heating area in real time, overheating can also be avoided and the service life of the heating element can be extended.

[0106] Calculating the temperature deviation value based on the real-time temperature data of each temperature sensor includes collecting the real-time temperature data of each temperature sensor at different time points; calculating the average temperature based on the real-time temperature data of each temperature sensor; subtracting the calculated average temperature from the preset temperature target to obtain the temperature deviation value; if the temperature deviation value is greater than ΔT, triggering the heating element power adjustment; wherein ΔT represents the preset maximum allowable temperature deviation value.

[0107] Through the real-time data of each temperature sensor, the system can continuously monitor the overall temperature condition inside the oven. After comparing the calculated average temperature with the target temperature, the temperature deviation value is obtained. If the deviation exceeds the set threshold, the power output of the heating module is adjusted accordingly to ensure that the temperature is maintained near the preset target. This embodiment ensures the accuracy and stability of temperature control through the calculation of the average temperature and the judgment of the deviation. This method simplifies the temperature control process of the system and improves the energy saving effect while avoiding local temperatures that are too high or too low. In addition, automated temperature adjustment also reduces the difficulty of operation and labor costs.

[0108] Calculating the average temperature based on the real-time temperature data of each temperature sensor specifically includes obtaining the real-time temperature values ​​T1, T2, ..., T n ; Calculate the sum of these temperature values ​​ΣT i ; The sum ΣTi Divide by the number of temperature sensors N to get the average temperature: ΣT i / N; if |T max -T min |>δ, then recalculate the average temperature; where T max Indicates the maximum value of the real-time temperature, T min It represents the minimum value of the real-time temperature, and δ represents the set maximum temperature difference threshold.

[0109] The system evaluates the overall temperature level inside the oven by calculating the average temperature of all temperature sensors. When the temperature difference exceeds the threshold, the system recalculates to exclude abnormal temperature data to ensure the accuracy of the average temperature. This implementation eliminates the influence of abnormal temperature on the average temperature by controlling the maximum and minimum temperature differences, thereby improving the accuracy of temperature control. This method ensures the reliability of temperature data and makes heating control more stable.

[0110] If |T max -T min |>δ, then recalculate the average temperature including excluding T max and T min Re-acquire the temperature values ​​of the remaining temperature sensors T1, T2, ..., T m ; Calculate the sum of the remaining temperature values ​​ΣT k ; The sum ΣT k Divide by the remaining number of temperature sensors m to get the new average temperature ΣT k / m; if the difference between the newly calculated average temperature and the initial average temperature is greater than ε, continue to adjust the power output of the heating element, specifically including calculating the difference ΔT between the new average temperature and the initial average temperature avg is equal to the new average temperature minus the initial average temperature; if ΔT avg >ε, then increase the power output; if ΔT avg <ε, then reduce the power output; if ΔT avg =ε, the current power output is maintained; wherein ε represents the set average temperature change threshold.

[0111] The system removes extreme temperature data, recalculates a reliable average temperature, and adjusts the power output of the heating module accordingly to ensure uniform temperature inside the oven. Recalculating the average temperature after removing abnormal data can improve the accuracy of temperature control and make the temperature inside the oven more uniform. At the same time, automated power regulation effectively reduces energy consumption and extends equipment life.

[0112] A method for energy-saving temperature control of a barbecue oven is also provided, using the energy-saving temperature control system of the barbecue oven, the method comprising:

[0113] S1. During the preheating stage of the oven, the heating module uniformly heats the oven according to a preset temperature target;

[0114] S2, using a plurality of temperature sensors arranged inside the oven in the temperature acquisition module to collect temperature data at different positions in the oven in real time;

[0115] S3, based on the real-time temperature data of the temperature acquisition module, dynamically adjust the power output of each heating module through the power adjustment module connected to the temperature acquisition module and the heating module to maintain a uniform temperature inside the oven;

[0116] S4. When the temperature inside the oven reaches the preset temperature, the intelligent temperature control module connected to the power regulation module enters the temperature holding mode and accurately controls the temperature inside the oven;

[0117] S5. In the temperature holding mode, the PID control module integrated in the intelligent temperature control module is used to accurately adjust the power output of the heating module through the PID algorithm to maintain the target temperature in the oven;

[0118] S6. According to the temperature distribution inside the oven monitored by the temperature acquisition module, the fan speed control module connected to the temperature acquisition module is used to automatically adjust the fan speed to optimize the heat distribution in the oven and achieve uniform temperature.

[0119] In this solution, the energy-saving temperature control method of the barbecue oven is used to achieve the coordinated work of multi-point temperature acquisition, dynamic power adjustment and PID control, thereby effectively solving the problems of uneven heating and unstable temperature control in traditional barbecue ovens. First, during the preheating stage of the oven, the heating module will evenly heat the oven according to the preset temperature target and quickly heat the oven to the target temperature. The multiple temperature sensors of the temperature acquisition module are distributed in different positions of the oven, and the temperature data of each area inside the oven is collected in real time and transmitted to the power adjustment module. The power adjustment module dynamically adjusts the power output of the heating module based on the real-time temperature data collected to maintain the uniformity of the temperature inside the oven.

[0120] When the temperature inside the oven reaches the preset value, the intelligent temperature control module enters the temperature holding mode, starts the PID control module, and uses the PID algorithm to accurately adjust the power output of the heating module to stabilize the temperature inside the oven at the target value. During this process, the temperature acquisition module continues to monitor the temperature distribution inside the oven in real time, and adjusts the fan speed through the fan speed control module to optimize the heat distribution inside the oven, so that the oven temperature remains uniform and stable.

[0121] The entire system integrates functions such as multi-point temperature acquisition, dynamic power regulation, PID temperature control and fan speed control. The modules cooperate with each other to form a precise temperature control closed-loop system, achieving stable and uniform temperature distribution inside the oven. At the same time, the intelligent temperature control module reduces the power consumption of the heating module while maintaining the temperature, achieving energy-saving effects. Therefore, through this energy-saving temperature control method, the oven can achieve high-quality baking effects on the basis of saving energy consumption.

[0122] This method can achieve accurate control and uniform distribution of the internal temperature of the oven through multi-point temperature acquisition and PID control, making the temperature of the baking process more stable. This temperature uniformity ensures that the food is heated evenly, thereby improving the quality of roasting and avoiding local overheating or uneven cooking of the food. After the oven reaches the preset temperature, the system enters the temperature holding mode, and the PID control module dynamically adjusts the power output of the heating module according to the slight changes in the temperature in the oven, thereby avoiding unnecessary heating energy consumption. In addition, the fan speed control module optimizes the heat distribution to make the heat circulation inside the oven more efficient, thereby reducing the overall energy consumption. Compared with the traditional constant power oven, this method can reduce energy consumption and save operating costs. The intelligent temperature control module and fan speed control module in this method can quickly respond to temperature fluctuations, adjust the power output and fan speed of each heating module, thereby achieving rapid heating and temperature stability, so that the oven can roast and bake with higher efficiency. This method realizes fully automatic temperature control without frequent manual adjustment. The operator only needs to set the expected temperature and time, and the system can automatically complete temperature acquisition, power adjustment and heat distribution optimization. This automated design reduces operational complexity and improves ease of use. Through PID control and real-time monitoring, the temperature control system can maintain a stable temperature during the baking process, avoiding thermal stress on oven components caused by rapid temperature changes, and effectively extending the service life of the oven. In addition, this method can effectively prevent local accumulation of heat in the oven, reduce the risk of failure due to overheating, and improve the operational reliability of the equipment. The energy-saving temperature control method reduces the carbon emissions of the oven by reducing heating energy consumption. In addition, the optimization of heat distribution by the fan speed control module reduces power consumption, reflecting a more environmentally friendly design concept.

[0123] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An energy-saving temperature control system for a barbecue oven, characterized in that: The system comprises: A heating module is used to evenly heat the oven according to a preset temperature target during the preheating phase; The temperature acquisition module includes multiple temperature sensors arranged inside the oven, which are used to collect temperature data at different positions in the oven in real time. Specifically, adaptive sliding mode control is applied to adjust the sampling frequency and filtering parameters of the sensor. When temperature changes are detected, the sliding mode control responds. The sliding mode control law formula is: u=(1σ)·[K s ·sgn(s)+f(x,t)]; Where u represents the control output, σ represents the slope of the sliding surface, and K s represents gain, sgn(s) represents the sign function, f(x, t) represents external disturbance, x represents the state variable, and t represents time; The power regulating module connected to the temperature acquisition module and the heating module is used to dynamically adjust the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven; The intelligent temperature control module connected to the power regulation module is used to enter the holding mode and control the temperature in the oven when the temperature in the oven reaches a preset temperature; The PID control module integrated in the intelligent temperature control module is used to accurately adjust the power output of the heating module through the PID algorithm in the holding mode; The fan speed control module connected to the temperature acquisition module is used to automatically adjust the fan speed according to the temperature distribution inside the oven monitored by the temperature acquisition module to optimize the heat distribution inside the oven. Specifically, the fan speed is adjusted according to the temperature acquisition module data of each temperature zone. The heat balance formula inside the oven is: ΔE=E in -E out ; Where ΔE represents the net change in heat inside the oven, E in represents the total heat input into the oven system, E out Represents the total heat output from the oven system.

2. The energy-saving temperature control system of a barbecue oven according to claim 1, characterized in that: The heating module uniformly heats the oven according to a preset temperature target during the preheating phase, including: Finite element analysis is used to simulate the heat conduction inside the oven. By discretizing the geometric structure of the oven into finite elements, the temperature distribution at various locations inside the oven under different heating conditions is simulated and calculated. According to the simulation results, the layout of the heating elements is optimized and the power distribution is adjusted. In the finite element analysis, the discretization formula for heat conduction is: KT = Q; Among them, K represents the heat transfer coefficient matrix, T represents the temperature vector, and Q represents the heat source vector.

3. The energy-saving temperature control system of a barbecue oven according to claim 1, characterized in that: The power regulation module dynamically adjusts the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven, including: Use the temperature sensor to measure the internal temperature of the oven in real time, and calculate the deviation between the temperature and the target temperature. Use the feedback gain coefficient and the real-time temperature error to calculate the current power output. The calculated power output is used as the real-time power input of the heating module. The power output calculation formula is: u(t)=-K·e(t)+u0; Among them, u(t) represents the power output of the heating module, K represents the feedback gain coefficient, e(t) represents the real-time temperature error, and u0 represents the initial power setting value.

4. The energy-saving temperature control system of a barbecue oven according to claim 1, characterized in that: When the temperature in the oven reaches a preset temperature, the intelligent temperature control module enters a holding mode and controls the temperature in the oven including: The temperature change inside the oven is regarded as a path that changes over time. The temperature difference inside the oven is regarded as part of the action. The total action of each path is calculated. The state probability of each path is calculated by integration to determine the optimal temperature control path. The power of the heating module is adjusted in real time according to the optimal path. The specific public statement is as follows: Where Z represents the set of all possible temperature change paths of the oven temperature control system. represents the probability distribution of all possible temperature paths q(t) of the system within time t, t represents time, q(t) represents the temperature change path inside the oven, S[q(t)] represents the energy consumption of the temperature change path inside the oven, a represents the scale factor, and i represents the imaginary unit.

5. The energy-saving temperature control system for a barbecue oven according to claim 1, characterized in that: The PID control module accurately adjusts the power output of the heating module by the PID algorithm in the holding mode, including: Based on the historical data of the temperature control system, the probability of each temperature state is calculated, and the entropy value of the temperature state distribution is calculated according to the probability of each state. By increasing or decreasing the power output of the heating module, the entropy value of the temperature state distribution is controlled to maximize the entropy value. The specific public statement is: Among them, H represents the entropy value, p j It represents the probability that the temperature control system is in different temperature states, n represents the total number of temperature states, and j represents the different temperature state numbers.

6. The energy-saving temperature control system of a barbecue oven according to claim 1, characterized in that: The power regulation module dynamically adjusts the power output of each heating module based on the real-time temperature data of the temperature acquisition module to ensure uniform temperature inside the oven, including: Calculate the temperature deviation value based on the real-time temperature data of each temperature sensor; Determine whether the temperature deviation value exceeds a preset threshold; If a preset threshold is exceeded, the power output of the heating element in the corresponding area is increased; If the preset threshold is not exceeded, maintaining the current power output of the heating element; The temperature deviation value refers to the difference between the temperature measured by each temperature sensor in real time and the preset temperature target, and the preset threshold value is the set maximum allowable temperature deviation value.

7. The energy-saving temperature control system for a barbecue oven according to claim 6, characterized in that: The calculating of the temperature deviation value based on the real-time temperature data of each temperature sensor comprises: Collect real-time temperature data from each temperature sensor at different time points; Calculate the average temperature based on the real-time temperature data of each temperature sensor; Subtract the calculated average temperature from the preset temperature target to obtain the temperature deviation value; If the temperature deviation is greater than ΔT, the heating element power adjustment is triggered; Wherein, ΔT represents the preset maximum allowable temperature deviation value.

8. The energy-saving temperature control system for a barbecue oven according to claim 7, characterized in that: The calculation of the average temperature based on the real-time temperature data of each temperature sensor specifically includes: Get the real-time temperature value T1, T2, ..., T of each temperature sensor n ; Calculate the sum of these temperature values ​​ΣT i ; The sum ΣT i Divide by the number of temperature sensors N to get the average temperature: ΣT i / N; If |T max -T min |>δ, then recalculate the average temperature; Among them, T max Indicates the maximum value of the real-time temperature, T min It represents the minimum value of the real-time temperature, and δ represents the set maximum temperature difference threshold.

9. The energy-saving temperature control system of a barbecue oven according to claim 8, characterized in that: If |T max -T min |>δ, then recalculating the average temperature includes: Eliminate T max and T min Temperature value; Re-obtain the temperature values ​​of the remaining temperature sensors T1, T2, ..., T m ; Calculate the sum of the remaining temperature values ​​ΣT k ; The sum ΣT k Divide by the remaining number of temperature sensors m to get the new average temperature ΣT k / m; If the difference between the newly calculated average temperature and the initial average temperature is greater than ε, the power output of the heating element is further adjusted, specifically including calculating the difference ΔT between the new average temperature and the initial average temperature. avg Equal to the new average temperature minus the initial average temperature; If ΔT avg >ε, the power output increases; If ΔT avg <ε, then reduce the power output; If ΔT avg =ε, then maintain the current power output; Wherein, ε represents the set average temperature change threshold.

10. An energy-saving temperature control method for a barbecue oven, using the energy-saving temperature control system for a barbecue oven according to any one of claims 1 to 9, characterized in that: The method comprises: S1. During the preheating stage of the oven, the heating module uniformly heats the oven according to a preset temperature target; S2, using a plurality of temperature sensors arranged inside the oven in the temperature acquisition module to collect temperature data at different positions in the oven in real time; S3, based on the real-time temperature data of the temperature acquisition module, dynamically adjust the power output of each heating module through the power adjustment module connected to the temperature acquisition module and the heating module to maintain a uniform temperature inside the oven; S4. When the temperature inside the oven reaches the preset temperature, the intelligent temperature control module connected to the power regulation module enters the temperature holding mode and accurately controls the temperature inside the oven; S5. In the temperature holding mode, the PID control module integrated in the intelligent temperature control module is used to accurately adjust the power output of the heating module through the PID algorithm to maintain the target temperature in the oven; S6. According to the temperature distribution inside the oven monitored by the temperature acquisition module, the fan speed control module connected to the temperature acquisition module is used to automatically adjust the fan speed to optimize the heat distribution in the oven and achieve uniform temperature.

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