An energy-saving temperature control system and method for a roasting oven

Abstract

This invention discloses an energy-saving temperature control system and method for a roasting oven, relating to the field of cooking equipment control technology. The system includes a heating module for uniformly heating the oven according to a preset temperature target during the preheating stage; and a temperature acquisition module containing multiple temperature sensors arranged inside the oven for real-time acquisition of temperature data at different locations within the oven. Specifically, it employs adaptive sliding mode control, adjusting the sensor sampling frequency and filtering parameters to respond when a temperature change is detected. This energy-saving temperature control system and method for the roasting oven avoids the problems of low roasting efficiency and unstable roasting quality caused by uneven temperature in traditional ovens. It enables the oven to maintain stable and reliable performance in different cooking modes, automatically monitoring and adjusting the temperature and heat distribution inside the oven, making the operation more convenient for users during the roasting process.

Description

Technical Field

[0001] This invention relates to the field of cooking equipment control technology, specifically to an energy-saving temperature control system and method for a roasting oven. Background Technology

[0002] Ovens are commonly used heating and cooking appliances in modern kitchens, widely used in homes and businesses. Ovens provide heat through heating elements, baking food at high temperatures to heat, cook, and bake various types of food. However, existing ovens often suffer from uneven heat distribution during high-temperature baking. This problem is mainly related to factors such as the oven's internal design, the layout of the heating elements, and the effectiveness of heat convection.

[0003] Uneven heat distribution often leads to excessively high temperatures in certain areas, resulting in uneven baking. These localized overheating temperatures can cause some parts of the food to be overcooked or even burnt, while others may remain uncooked, affecting the overall taste and appearance of the food. Furthermore, uneven temperature distribution can increase oven energy consumption, prolong baking time, and reduce baking efficiency. Although some existing oven technologies improve internal heat circulation and distribution by adding fans and adjusting the layout of heating elements, the limited heat convection and radiation within the oven still makes it difficult to completely eliminate localized overheating. Summary of the Invention

[0004] The purpose of this invention is to provide an energy-saving temperature control system and method for a roasting oven, which solves the problems of uneven heat distribution in the prior art, which often leads to excessively high temperatures in local areas, resulting in uneven roasting, affecting the overall taste and appearance of the food, increasing the oven's energy consumption, prolonging the roasting time, and reducing roasting efficiency.

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

[0006] The heating module is used to heat the oven evenly according to the preset temperature target during the preheating stage;

[0007] The temperature acquisition module includes multiple temperature sensors arranged inside the oven to collect temperature data from different locations within the oven in real time. Specifically, it applies adaptive sliding mode control. By adjusting the sensor sampling frequency and filtering parameters, the sliding mode control responds when a temperature change is detected. The sliding mode control law formula is as follows:

[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 Let sgn(s) represent the gain, sgn(s) represent the sign function, f(x,t) represent the external disturbance, x represent the state variable, and t represent time.

[0010] The power adjustment module, which is 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 from the temperature acquisition module, so as 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 when the oven temperature reaches the preset temperature and control the oven temperature.

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

[0013] The fan speed control module, connected to the temperature acquisition module, automatically adjusts the fan speed based on the temperature distribution inside the oven monitored by the temperature acquisition module, optimizing the heat distribution within the oven. Specifically, it adjusts the fan speed according to the temperature acquisition module data for 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 E represents the total heat input entering the oven system. out This indicates the total heat output flowing out of the oven system.

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

[0017] The heat conduction inside an oven is simulated using finite element analysis. By discretizing the oven's geometry into finite element models, the temperature distribution at various locations inside the oven under different heating conditions is calculated. Based on the simulation results, the layout of the heating elements is optimized, and the power distribution is adjusted. The discretization formula for heat conduction in finite element analysis is as follows:

[0018] KT = Q;

[0019] Where K represents the thermal conductivity 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 real-time temperature data from the temperature acquisition module to ensure uniform temperature inside the oven, including:

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

[0022] u(t) = -K·e(t) + u0;

[0023] Where 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 inside the oven reaches the preset temperature, the intelligent temperature control module enters a holding mode and controls the temperature inside the oven, including:

[0025] The temperature change inside the oven is considered as a path changing over time, and the temperature difference inside the oven is considered as part of the effect. The total effect of each path is calculated, and 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 formula is as follows:

[0026]

[0027] Where Z represents the set of all possible temperature change paths of the oven's temperature control system. Let S[q(t)] represent the probability distribution of all possible temperature paths q(t) in the system within time t, where 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 scaling factor, and i represents the imaginary unit.

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

[0029] Based on historical data from the temperature control system, the probability of each temperature state is calculated. The entropy value of the temperature state distribution is then calculated based on 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 formula is as follows:

[0030]

[0031] Where H represents the entropy value, p j This represents the probability that the temperature control system is in different temperature states, where n represents the total number of temperature states and j represents the different temperature state number.

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

[0033] The temperature deviation value is calculated based on the real-time temperature data from each temperature sensor.

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

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

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

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

[0038] Preferably, the calculation 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] The average temperature is calculated based on the real-time temperature data from each temperature sensor.

[0041] The temperature deviation value is obtained by subtracting the calculated average temperature from the preset temperature target.

[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 calculation of the average temperature based on the real-time temperature data from each temperature sensor specifically includes:

[0045] Obtain the real-time temperature values ​​T1, T2, ..., T from 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 obtain the average temperature: ΣT i / N;

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

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

[0050] Preferably, if |T max -T min If |>δ, then the average temperature is recalculated including:

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

[0052] Reacquire the temperature values ​​T1, T2, ..., T from the remaining temperature sensors. 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 obtain 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, then the power output of the heating element is adjusted further, specifically by calculating the difference ΔT between the new average temperature and the initial average temperature. avg It equals the new average temperature minus the initial average temperature;

[0056] If ΔT avg If the value is greater than ε, then increase the power output;

[0057] If ΔT avg If the value is less than ε, then reduce the power output;

[0058] If ΔT avg If the power output is equal to ε, then the current power output will be maintained.

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

[0060] An energy-saving temperature control method for a roast meat oven, employing the aforementioned energy-saving temperature control system for the roast meat oven, the method comprising:

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

[0062] S2. Use multiple temperature sensors arranged inside the oven in the temperature acquisition module to collect temperature data at different locations inside the oven in real time.

[0063] S3. Based on the real-time temperature data from the temperature acquisition module, the power output of each heating module is dynamically adjusted 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 internal temperature of the oven reaches the preset temperature, the intelligent temperature control module connected to the power adjustment module enters the temperature holding mode and precisely controls the temperature inside the oven.

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

[0066] S6. Based on the temperature distribution inside the oven monitored by the temperature acquisition module, the fan speed is automatically adjusted using the fan speed control module connected to the temperature acquisition module to optimize the heat distribution inside the oven and achieve uniform temperature.

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

[0068] The energy-saving temperature control system and method of this roasting oven utilizes a heating module to uniformly heat the oven according to a preset temperature target during the preheating stage. A temperature acquisition module, containing multiple temperature sensors arranged inside the oven, collects real-time temperature data from different locations within the oven. A power adjustment module dynamically adjusts the power output of each heating module based on the real-time temperature data from the temperature acquisition module, ensuring uniform temperature inside the oven. An intelligent temperature control module enters a holding mode when the oven temperature reaches the preset temperature and controls the temperature within the oven. A PID control module precisely adjusts the power output of the heating modules in holding mode using a PID algorithm. Finally, a fan speed control module automatically adjusts the fan speed based on the temperature distribution inside the oven monitored by the temperature acquisition module. The fan speed optimizes the heat distribution inside the oven, making the heat distribution more even and reducing localized overheating or underheating. This prevents food from being overcooked or burnt due to localized overheating, effectively reducing unnecessary heating time and power waste, thus achieving energy savings and reducing the oven's energy consumption. It also avoids prolonged baking time due to uneven localized temperatures, thereby improving baking efficiency. This avoids the problems of low baking efficiency and unstable baking quality caused by uneven temperature in traditional ovens, allowing the oven to maintain stable and reliable performance in different cooking modes. It can automatically monitor and adjust the temperature and heat distribution inside the oven, reducing reliance on manual operation and making the baking process simpler for users. Attached Figure Description

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

[0070] Figure 2 This is a flowchart of the method of the present invention. Detailed Implementation

[0071] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

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

[0073] The heating module is used to heat the oven evenly according to the preset temperature target during the preheating stage;

[0074] The temperature acquisition module includes multiple temperature sensors arranged inside the oven to collect temperature data from different locations within the oven in real time. Specifically, it applies adaptive sliding mode control. By adjusting the sensor sampling frequency and filtering parameters, the sliding mode control responds when a temperature change is detected. The sliding mode control law formula is as follows:

[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 Let sgn(s) represent the gain, sgn(s) represent the sign function, f(x,t) represent the external disturbance, x represent the state variable, and t represent time.

[0077] The power adjustment module, which is 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 from the temperature acquisition module, so as 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 when the oven temperature reaches the preset temperature and control the oven temperature.

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

[0080] The fan speed control module, connected to the temperature acquisition module, automatically adjusts the fan speed based on the temperature distribution inside the oven monitored by the temperature acquisition module, optimizing the heat distribution within the oven. Specifically, it adjusts the fan speed according to the temperature acquisition module data for 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 E represents the total heat input entering the oven system. out This indicates the total heat output flowing out of the oven system.

[0083] The core principle of this energy-saving temperature control system lies in real-time acquisition of the oven's internal temperature and processing of the data using a sliding mode control algorithm. Sliding mode control provides a rapid response to temperature changes, tracking temperature variations in real time by adjusting the sampling frequency and filtering parameters to achieve efficient temperature control. Furthermore, the power regulation module and intelligent temperature control module work together. In hold mode, the intelligent temperature control module uses a PID control algorithm to precisely adjust the output power of the heating module to maintain the set temperature. The fan speed control module adjusts the fan speed according to temperature differences in different areas, promoting uniform heat distribution within the oven, thereby optimizing heat balance and ensuring stable internal temperature. The main benefits of this system are significantly improved energy efficiency and temperature uniformity. 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 precise temperature control, ensuring the temperature remains stable at the target set value. The fan speed control module optimizes heat distribution by adjusting fan speed, reducing energy waste caused by uneven temperature, thus significantly reducing the oven's energy consumption and extending its lifespan. In addition, the system can dynamically adjust based on real-time temperature data, enabling 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 stage, including:

[0085] The heat conduction inside an oven is simulated using finite element analysis. By discretizing the oven's geometry into finite element models, the temperature distribution at various locations inside the oven under different heating conditions is calculated. Based on the simulation results, the layout of the heating elements is optimized, and the power distribution is adjusted. The discretization formula for heat conduction in finite element analysis is as follows:

[0086] KT = Q;

[0087] Where K represents the thermal conductivity matrix, T represents the temperature vector, and Q represents the heat source vector.

[0088] The system's heating module uses finite element analysis to accurately model the internal heat conduction behavior of the oven, calculating the temperature distribution under different heating conditions. Simulation results provide a temperature distribution map of the oven's interior, allowing for the determination of the optimal layout and power output allocation of the heating elements. Based on the heat conduction formula KT=Q, the system adjusts the power output of the heating module according to real-time temperature data to ensure uniform temperature distribution. This effectively reduces temperature unevenness during heating, making the temperature at various points inside the oven more consistent. The beneficial effect of this implementation is that simulation analysis and a precise heat conduction model significantly improve the uniformity of the internal temperature distribution. Optimized heating element layout and power allocation reduce overheating or cold spots, resulting in a more uniform internal temperature and avoiding localized overheating, thus improving baking quality. The introduction of finite element analysis allows the system to reach the set temperature target with minimal energy consumption during the preheating stage, significantly saving energy. Furthermore, more precise temperature control improves the stability and lifespan of the equipment.

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

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

[0091] u(t) = -N·e(t) + u0;

[0092] Where 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 power adjustment module works by using a feedback control strategy to adjust the power output of the heating module based on real-time temperature error values. A temperature sensor continuously monitors the oven's internal temperature and compares it to the target temperature, generating a temperature deviation. The power adjustment module calculates an appropriate power output based on this deviation to correct the current temperature deviation. The introduction of a feedback gain coefficient K ensures that the power output responds quickly to temperature changes, thereby accelerating the temperature adjustment process and improving the system's control accuracy. This adjustment mechanism results in a more uniform temperature distribution inside the oven, avoiding localized overheating or underheating. Through the feedback control strategy, this implementation can dynamically adjust the heating power based on real-time temperature data from the temperature acquisition module, significantly improving the response speed and accuracy of the temperature control system. Real-time temperature adjustment reduces temperature fluctuations, keeping the temperature uniform across all areas of the oven, reducing energy waste caused by uneven temperature distribution, and improving the oven's energy efficiency. Simultaneously, because the system can autonomously adjust its power output, it effectively extends the lifespan of the heating elements, improving the equipment's reliability and stability.

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

[0095] The temperature change inside the oven is considered as a path changing over time, and the temperature difference inside the oven is considered as part of the effect. The total effect of each path is calculated, and 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 formula is as follows:

[0096]

[0097] Where Z represents the set of all possible temperature change paths of the oven's temperature control system. Let S[q(t)] represent the probability distribution of all possible temperature paths q(t) in the system within time t, where 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 scaling factor, and i represents the imaginary unit.

[0098] This intelligent temperature control module analyzes the dynamic changes in oven temperature, treating the temperature change process as a time path and calculating the effect and probability distribution of each path. Using path integration, it identifies the optimal temperature control path. Based on this, the module adjusts the power output of the heating module to ensure a uniform and stable temperature distribution within the oven, hovering around the set value. This method not only responds quickly to temperature changes but also reduces energy consumption while maintaining temperature uniformity. In hold mode, this approach achieves precise temperature control through path integration. It effectively balances temperature differences within the oven, making each area more uniform and reducing localized overheating. By adjusting power output according to the optimal path, the intelligent temperature control module achieves stable temperature control while reducing energy consumption, further improving the oven's energy efficiency. This method also improves the response speed of the temperature control system, extends the lifespan of the heating elements, and reduces maintenance costs.

[0099] In hold mode, the PID control module precisely adjusts the power output of the heating module using a PID algorithm, including:

[0100] Based on historical data from the temperature control system, the probability of each temperature state is calculated. The entropy value of the temperature state distribution is then calculated based on 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 formula is as follows:

[0101]

[0102] Where H represents the entropy value, p j This represents the probability that the temperature control system is in different temperature states, where n represents the total number of temperature states and j represents the different temperature state number.

[0103] This PID control module quantifies the uniformity of temperature distribution by calculating entropy values ​​based on historical temperature data of the system. In hold mode, the PID control algorithm adjusts the power output according to real-time temperature feedback to ensure that the probability distribution of temperature states is as uniform as possible. By adjusting the power output, the system's entropy value tends to be maximized, achieving stable temperature control. The accuracy of the PID algorithm ensures the system's rapid response and temperature uniformity under various temperature conditions, thereby improving the temperature control effect inside the oven. Through the entropy calculation and adjustment of the PID control module, this implementation 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 hold mode, avoiding overheating or temperature fluctuations, thus improving the oven's energy-saving effect. The maximum entropy control strategy further improves the stability of temperature control, enabling the oven to maintain the set temperature during long-term operation, extending the equipment's lifespan and reducing energy consumption.

[0104] The power adjustment module dynamically adjusts the power output of each heating module based on the real-time temperature data from the temperature acquisition module to ensure uniform temperature inside the oven. This includes calculating the temperature deviation value based on the real-time temperature data from each temperature sensor, determining whether the temperature deviation value exceeds a preset threshold, increasing the power output of the heating element in the corresponding area if it exceeds the preset threshold, and maintaining the current power output of the heating element if it does not exceed the preset threshold. Here, the temperature deviation value refers to the difference between the temperature measured in real time by each temperature sensor and the preset temperature target, and the preset threshold is the set maximum allowable temperature deviation value.

[0105] The core principle of this power adjustment module lies in dynamically adjusting the power output of each heating module by comparing the temperature deviation value with a preset threshold. When the temperature in a certain area is lower than the target temperature, the heating power is increased to correct the temperature deviation, thereby achieving uniform heating throughout the oven. This adjustment method can quickly respond to temperature fluctuations, ensuring that the temperature in different locations remains stable within the set range. This implementation method can adjust the power output of the heating modules in a timely manner based on real-time temperature data, reducing temperature unevenness and making the temperature distribution inside the oven more uniform. At the same time, the automated adjustment process reduces the need for manual operation, improving the system's energy-saving effect. By adjusting the power distribution of each heating zone in real time, overheating can also be avoided, extending the service life of the heating elements.

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

[0107] By using real-time data from various temperature sensors, the system can continuously monitor the overall temperature inside the oven. After comparing the calculated average temperature with the target temperature, a temperature deviation value is obtained. If the deviation exceeds a set threshold, the power output of the heating module is adjusted accordingly to ensure the temperature remains near the preset target. This implementation method ensures the accuracy and stability of temperature control through the calculation of average temperature and deviation judgment. This method simplifies the temperature control process and improves energy efficiency while avoiding excessively high or low local temperatures. Furthermore, automated temperature adjustment reduces operational difficulty and labor costs.

[0108] Calculating the average temperature based on real-time temperature data from each temperature sensor specifically involves acquiring the real-time temperature values ​​T1, T2, ..., T from each temperature sensor. n ; Calculate the sum of these temperature values ​​ΣT i ; sum ΣTi Divide by the number of temperature sensors N to obtain the average temperature: ΣT i / N; if |T max -T min If |>δ, then the average temperature is recalculated; where T max T represents the maximum value in real-time temperature. min δ represents the minimum real-time temperature, and δ represents the set maximum temperature difference threshold.

[0109] The system assesses the overall temperature level inside the oven by calculating the average temperature from all temperature sensors. When temperature differences exceed a threshold, the system recalculates to exclude abnormal temperature data, thus ensuring the accuracy of the average temperature. This implementation eliminates the influence of abnormal temperatures on the average temperature by controlling the maximum and minimum temperature differences, improving the precision of temperature control. This method ensures the reliability of temperature data, resulting in more stable heating control.

[0110] If |T max -T min If |>δ, then recalculate the average temperature, including removing T. max and T min Temperature values; reacquire the temperature values ​​T1, T2, ..., T from the remaining temperature sensors. m ; Calculate the sum of the remaining temperature values ​​ΣT k ; sum ΣT k Divide by the remaining number of temperature sensors m to obtain 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, then 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 It equals the new average temperature minus the initial average temperature; if ΔT avg If ΔT > ε, then increase power output; if ΔT avg If ΔT < ε, then reduce power output; if ΔT avg =ε, then maintain the current power output; where 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 improves temperature control accuracy and makes the oven's internal temperature more uniform. Simultaneously, automated power adjustment effectively reduces energy consumption and extends equipment lifespan.

[0112] An energy-saving temperature control method for a roast meat oven is also provided, employing the aforementioned energy-saving temperature control system for the roast meat oven, the method comprising:

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

[0114] S2. Use multiple temperature sensors arranged inside the oven in the temperature acquisition module to collect temperature data at different locations inside the oven in real time.

[0115] S3. Based on the real-time temperature data from the temperature acquisition module, the power output of each heating module is dynamically adjusted 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 internal temperature of the oven reaches the preset temperature, the intelligent temperature control module connected to the power adjustment module enters the temperature holding mode and precisely controls the temperature inside the oven.

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

[0118] S6. Based on the temperature distribution inside the oven monitored by the temperature acquisition module, the fan speed is automatically adjusted using the fan speed control module connected to the temperature acquisition module to optimize the heat distribution inside the oven and achieve uniform temperature.

[0119] This solution utilizes an energy-saving temperature control method for roast meat ovens, achieving coordinated operation of multi-point temperature acquisition, dynamic power adjustment, and PID control. This effectively solves the problems of uneven heating and unstable temperature control in traditional roast meat ovens. First, during the oven's preheating stage, the heating module heats the oven evenly according to a preset temperature target, quickly raising the oven to the target temperature. Multiple temperature sensors from the temperature acquisition module are distributed at different locations within the oven, collecting real-time temperature data from various areas inside the oven and transmitting it to the power adjustment module. Based on the collected real-time temperature data, the power adjustment module dynamically adjusts the power output of the heating module to maintain the uniformity of the temperature inside the oven.

[0120] Once the oven's internal temperature reaches the preset value, the intelligent temperature control module enters temperature hold mode and activates the PID control module. This module uses a PID algorithm to precisely adjust the power output of the heating module, stabilizing the oven's internal temperature 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 via the fan speed control module to optimize heat distribution, ensuring a uniform and stable oven temperature.

[0121] The entire system integrates multi-point temperature acquisition, dynamic power adjustment, PID temperature control, and fan speed control. These modules work together to form a precise closed-loop temperature control system, achieving stable and uniform temperature distribution inside the oven. Simultaneously, the intelligent temperature control module maintains the temperature while reducing the power consumption of the heating module, achieving energy savings. Therefore, through this energy-saving temperature control method, the oven can achieve high-quality baking results while conserving energy.

[0122] This method achieves precise control and uniform distribution of oven internal temperature through multi-point temperature acquisition and PID control, resulting in a more stable temperature during the roasting process. This temperature uniformity ensures even heating of food, thereby improving the quality of roasted meats and preventing localized overheating or uneven cooking. Once the oven reaches the preset temperature, the system enters a temperature holding mode. The PID control module dynamically adjusts the power output of the heating modules based on subtle temperature changes within the oven, thus avoiding unnecessary heating energy consumption. Furthermore, the fan speed control module optimizes heat distribution, making heat circulation within the oven more efficient, thereby reducing overall energy consumption. Compared to traditional constant-power ovens, this method reduces energy consumption and saves operating costs. The intelligent temperature control module and fan speed control module in this method can quickly respond to temperature fluctuations, adjusting the power output of each heating module and the fan speed to achieve rapid heating and temperature stability, enabling the oven to roast meats more efficiently. This method achieves fully automatic temperature control, eliminating the need for frequent manual adjustments. Operators only need to set the desired temperature and time, and the system automatically completes temperature acquisition, power adjustment, and heat distribution optimization. This automated design reduces operational complexity and enhances ease of use. Through PID control and real-time monitoring, the temperature control system maintains a stable temperature during baking, preventing thermal stress on oven components caused by rapid temperature changes and effectively extending the oven's lifespan. Furthermore, this method effectively prevents localized heat buildup inside the oven, reducing the risk of malfunctions due to overheating and improving equipment reliability. The energy-saving temperature control method reduces the oven's carbon emissions by decreasing heating energy consumption. In addition, the optimized heat distribution through the fan speed control module reduces electrical energy consumption, reflecting a more environmentally friendly design philosophy.

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

Claims

1. An energy-saving temperature control system for a roasting oven, characterized in that, The system includes: The heating module is used to heat the oven evenly according to the preset temperature target during the preheating stage; The temperature acquisition module includes multiple temperature sensors arranged inside the oven to collect temperature data from different locations within the oven in real time. Specifically, it applies adaptive sliding mode control. By adjusting the sensor sampling frequency and filtering parameters, the sliding mode control responds when a temperature change is detected. The sliding mode control law formula is as follows: ； in, Indicates control output. This represents the slope of the sliding surface. Indicates gain. Represents a symbolic function. Indicates external disturbance. Represents state variables, Indicates time; The power adjustment module, which is 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 from the temperature acquisition module, so as 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 when the oven temperature reaches the preset temperature and control the oven temperature. The PID control module integrated into the intelligent temperature control module is used to precisely adjust the power output of the heating module through the PID algorithm in hold mode; The fan speed control module, connected to the temperature acquisition module, automatically adjusts the fan speed based on the temperature distribution inside the oven monitored by the temperature acquisition module, optimizing the heat distribution within the oven. Specifically, it adjusts the fan speed according to the temperature acquisition module data for each temperature zone. The heat balance formula inside the oven is: ； in, This indicates the net change in heat inside the oven. This indicates the total heat input entering the oven system. This indicates the total heat output flowing out of the oven system; The heating module heats the oven evenly according to a preset temperature target during the preheating stage, including: The heat conduction inside an oven is simulated using finite element analysis. By discretizing the oven's geometry into finite element models, the temperature distribution at various locations inside the oven under different heating conditions is calculated. Based on the simulation results, the layout of the heating elements is optimized, and the power distribution is adjusted. The discretization formula for heat conduction in finite element analysis is as follows: ； in, Represents the thermal conductivity matrix. Represents the temperature vector. This represents the heat source vector.

2. The energy-saving temperature control system for a roasting oven according to claim 1, characterized in that: The power adjustment module dynamically adjusts the power output of each heating module based on real-time temperature data from the temperature acquisition module to ensure uniform temperature inside the oven, including: A temperature sensor is used to measure the internal temperature of the oven in real time, and the deviation between this temperature and the target temperature is calculated. The current power output is calculated using the feedback gain coefficient and the real-time temperature error. The calculated power output is used as the real-time power input of the heating module. The power output calculation formula is as follows: ； in, This indicates the power output of the heating module. Indicates the feedback gain coefficient. Indicates real-time temperature error. This indicates the initial power setting value.

3. The energy-saving temperature control system for a roasting oven according to claim 1, characterized in that: When the oven temperature reaches the preset temperature, the intelligent temperature control module enters a holding mode and controls the oven temperature, including: The temperature change inside the oven is considered as a path changing over time, and the temperature difference inside the oven is considered as part of the effect. The total effect of each path is calculated, and 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 formula is as follows: ； in, This represents the set of all possible temperature change paths in the oven's temperature control system. Indicates time All possible temperature paths of the internal system The probability distribution, Indicates time, This indicates the path of temperature change inside the oven. This indicates the energy consumption along the path of temperature change inside the oven. Indicates the scaling factor. It represents the imaginary unit.

4. The energy-saving temperature control system for a roasting oven according to claim 1, characterized in that: The PID control module, in hold mode, precisely adjusts the power output of the heating module using a PID algorithm, including: Based on historical data from the temperature control system, the probability of each temperature state is calculated. Then, the entropy value of the temperature state distribution is calculated based on 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 formula is as follows: ； in, Represents the entropy value. This represents the probability that the temperature control system is in different temperature states. This represents the total number of temperature states. These represent different temperature status numbers.

5. The energy-saving temperature control system for a roasting oven according to claim 1, characterized in that: The power adjustment module dynamically adjusts the power output of each heating module based on real-time temperature data from the temperature acquisition module to ensure uniform temperature inside the oven, including: The temperature deviation value is calculated based on the real-time temperature data from each temperature sensor. Determine whether the temperature deviation exceeds a preset threshold; If the preset threshold is exceeded, the power output of the heating element in the corresponding area will be increased; If the preset threshold is not exceeded, maintain the current power output of the heating element; Among them, the temperature deviation value refers to the difference between the temperature measured in real time by each temperature sensor and the preset temperature target, and the preset threshold is the maximum allowable temperature deviation value.

6. The energy-saving temperature control system for a roasting oven according to claim 5, characterized in that: The calculation of the temperature deviation value based on the real-time temperature data from each temperature sensor includes: Collect real-time temperature data from each temperature sensor at different time points; The average temperature is calculated based on the real-time temperature data from each temperature sensor. The temperature deviation value is obtained by subtracting the calculated average temperature from the preset temperature target. 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.

7. The energy-saving temperature control system for a roasting oven according to claim 6, characterized in that: The calculation of the average temperature based on real-time temperature data from each temperature sensor specifically includes: Obtain the real-time temperature values ​​T1, T2,...,T from 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 obtain the average temperature: ΣT i / N; If |T max -T min If |>δ, then recalculate the average temperature; Among them, T max T represents the maximum value in real-time temperature. min δ represents the minimum real-time temperature, and δ represents the set maximum temperature difference threshold.

8. The energy-saving temperature control system for a roasting oven according to claim 7, characterized in that: If |T max -T min If |>δ, then the average temperature is recalculated including: Remove T max and T min Temperature value; Reacquire the temperature values ​​T1, T2, ..., T from the remaining temperature sensors. 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 obtain 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, then the power output of the heating element is adjusted further, specifically by calculating the difference ΔT between the new average temperature and the initial average temperature. avg It equals the new average temperature minus the initial average temperature; If ΔT avg If the value is greater than ε, then increase the power output; If ΔT avg If the value is less than ε, then reduce the power output; If ΔT avg If the power output is equal to ε, then the current power output will be maintained. Where ε represents the set average temperature change threshold.

9. An energy-saving temperature control method for a roast meat oven, employing the energy-saving temperature control system for a roast meat oven as described in any one of claims 1-8, characterized in that: The method includes: S1. During the preheating stage of the oven, the heating module heats the oven evenly according to the preset temperature target. S2. Use multiple temperature sensors arranged inside the oven in the temperature acquisition module to collect temperature data at different locations inside the oven in real time. S3. Based on the real-time temperature data from the temperature acquisition module, the power output of each heating module is dynamically adjusted 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 internal temperature of the oven reaches the preset temperature, the intelligent temperature control module connected to the power adjustment module enters the temperature holding mode and precisely controls the temperature inside the oven. S5. In temperature holding mode, the PID control module integrated in the intelligent temperature control module is used to precisely adjust the power output of the heating module through the PID algorithm to maintain the target temperature inside the oven. S6. Based on the temperature distribution inside the oven monitored by the temperature acquisition module, the fan speed is automatically adjusted using the fan speed control module connected to the temperature acquisition module to optimize the heat distribution inside the oven and achieve uniform temperature.

Images