Firewall control method and system and integrated cooker

Abstract

The invention discloses a firewall control method and system and an integrated kitchen range, the method is applied to the integrated kitchen range, the method comprises the steps that at least two pieces of measurement temperature data in an air duct of the integrated kitchen range are obtained, and each piece of measurement temperature data corresponds to one measurement position; determining first comprehensive temperature data based on the at least two pieces of measured temperature data and the first temperature difference data corresponding to the at least two pieces of measured temperature data; under the condition that the first comprehensive temperature data is smaller than the first temperature threshold value data and larger than or equal to the second temperature threshold value data, first temperature change data corresponding to the first preset time period are determined based on the measured temperature data in the first preset time period; and when the first temperature change data is greater than or equal to the third temperature threshold data, controlling the firewall to be opened. According to the embodiment of the invention, the accuracy and reliability of firewall control of the integrated cooker can be improved, and misjudgment is avoided.

Description

Technical Field

[0001] This invention relates to the field of intelligent kitchen appliance technology, and in particular to a firewall control method, system, and integrated stove. Background Technology

[0002] When an integrated cooktop is in operation, the fire protection system will activate if an open flame enters the duct of the range hood module. This essentially involves detecting the temperature of a firewall sensor to determine if a flame has entered the duct. When the temperature detected by the firewall sensor exceeds a set threshold, the protection system will shut down all loads to ensure safety. In actual use, even without a flame entering the duct, the heat generated by the kitchen equipment can still trigger the open flame protection system if it reaches the set temperature threshold. Therefore, improving the reliability of the detection and avoiding false alarms is crucial for firewall fire protection. Summary of the Invention

[0003] To address the aforementioned problems in the prior art, this invention discloses a firewall control method, system, and integrated stove, which can improve the accuracy and reliability of firewall control in integrated stoves and avoid misjudgments. The technical solution disclosed in this invention is as follows: According to one aspect of the disclosed embodiments of the present invention, a firewall control method is provided, the method comprising: Acquire at least two temperature measurement data points within the air duct of the integrated stove, with each temperature measurement data point corresponding to a measurement location; Based on the at least two measured temperature data and the first temperature difference data corresponding to the at least two measured temperature data, a first comprehensive temperature data is determined; If the first comprehensive temperature data is less than the first temperature threshold data and greater than or equal to the second temperature threshold data, the first temperature change data corresponding to the first preset time period is determined based on the measured temperature data within the first preset time period. If the first temperature change data is greater than or equal to the third temperature threshold data, the firewall is enabled.

[0004] Optionally, determining the first comprehensive temperature data based on the at least two measured temperature data and the first temperature difference data corresponding to the at least two measured temperature data includes: Determine the first target temperature data from the at least two measured temperature data; Determine the first weighted data corresponding to the first target temperature data, and the second weighted data corresponding to the first temperature difference data; Based on the first weighted data and the second weighted data, the first target temperature data and the first temperature difference data are weighted and summed to obtain the first comprehensive temperature data.

[0005] Optionally, the method further includes: Obtain historical temperature data within the air duct of the integrated stove; Feature extraction is performed on the at least two measured temperature data points and the historical temperature data to obtain time-series temperature features; the at least two measured temperature data points correspond to the current time. Temperature prediction is performed based on the time-series temperature characteristics to obtain at least two predicted temperature data; each predicted temperature data corresponds to the next time step of the current time step. Based on the second target temperature data in the at least two predicted temperature data, the second temperature difference data corresponding to the at least two predicted temperature data and their respective weight data, the second comprehensive temperature data is determined. If the second comprehensive temperature data is greater than or equal to the first temperature threshold data, the firewall is enabled.

[0006] Optionally, the method further includes: If any predicted temperature data is less than the fourth temperature threshold data and greater than or equal to the fifth temperature threshold data, the second temperature change data corresponding to the second preset time period is determined based on the temperature data within the second preset time period. If the second temperature change data is greater than or equal to the sixth temperature threshold data, the firewall is enabled.

[0007] Optionally, the method further includes: If the first comprehensive temperature data is greater than or equal to the first temperature threshold data, the firewall is enabled.

[0008] According to another aspect of the disclosed embodiments of the present invention, a firewall control system is provided, the control system being deployed within the integrated stove, the control system comprising at least two temperature sensing modules and a control module, each temperature sensing module being located within the air duct of the integrated stove; The at least two temperature sensing modules are used to acquire at least two measured temperature data within the air duct of the integrated stove; The control module is configured to determine first comprehensive temperature data based on the at least two measured temperature data and the first temperature difference data corresponding to the at least two measured temperature data; and to determine first temperature change data corresponding to the first preset time period based on the measured temperature data within the first preset time period when the first comprehensive temperature data is less than the first temperature threshold data and greater than or equal to the second temperature threshold data; and to control the firewall to be enabled when the first temperature change data is greater than or equal to the third temperature threshold data.

[0009] Optionally, the control module is further configured to acquire historical temperature data within the air duct of the integrated stove; and to extract features from the at least two measured temperature data and the historical temperature data to obtain time-series temperature features; the at least two measured temperature data correspond to the current time; and to perform temperature prediction based on the time-series temperature features to obtain at least two predicted temperature data; each predicted temperature data corresponds to the next time after the current time; and to determine a second comprehensive temperature data based on the second target temperature data in the at least two predicted temperature data, the second temperature difference data corresponding to the at least two predicted temperature data, and their respective weight data; and to control the firewall to open when the second comprehensive temperature data is greater than or equal to the first temperature threshold data.

[0010] Optionally, the control module is deployed in the cloud, and the measured temperature data collected by the at least two temperature sensing modules is sent to the cloud.

[0011] Optionally, at least two connecting lines are provided in the air duct, one end of each connecting line is connected to a temperature sensing module, and the other end of each connecting line is connected to the control module.

[0012] According to another aspect of the embodiments disclosed in this invention, an integrated stove is provided, including the firewall control system described above, or firewall control is performed using any of the firewall control methods described above.

[0013] The firewall control method provided by this invention has the following technical effects: The method acquires at least two measured temperature data points within the air duct of the integrated stove, with each measured temperature data point corresponding to a measurement location; based on the at least two measured temperature data points and the first temperature difference data corresponding to the at least two measured temperature data points, a first comprehensive temperature data point is determined; if the first comprehensive temperature data point is less than a first temperature threshold data point and greater than or equal to a second temperature threshold data point, a first temperature change data point corresponding to the first preset time period is determined based on the measured temperature data point within the first preset time period; if the first temperature change data point is greater than or equal to a third temperature threshold data point, the firewall is controlled to open.

[0014] Therefore, based on the measured temperature data corresponding to multiple different locations within the integrated stove's air duct, and the temperature difference data corresponding to these multiple measured temperature data, a comprehensive temperature data is determined. Then, when the first comprehensive temperature data is less than a first temperature threshold data and greater than or equal to a second temperature threshold data, the temperature change data within a first preset time period is determined based on the measured temperature data within that time period. And when the first temperature change data is greater than or equal to a third temperature threshold data, the firewall is controlled to open, thereby improving the accuracy and reliability of the integrated stove's firewall control and avoiding misjudgments.

[0015] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a firewall control method according to an exemplary embodiment; Figure 2 This is a schematic diagram illustrating a process for determining first comprehensive temperature data according to an exemplary embodiment; Figure 3 This is a flowchart illustrating another firewall control method according to an exemplary embodiment. Detailed Implementation

[0018] To enable those skilled in the art to better understand the technical solutions disclosed in this invention, the technical solutions in the disclosed embodiments will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0019] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention disclosed herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0020] This application provides a firewall control method; please refer to [link / reference]. Figure 1 , Figure 1This is a flowchart illustrating a firewall control method according to an exemplary embodiment. This method can be applied to integrated stoves. This specification provides the operational steps of the method as described in the embodiments or flowcharts, but based on conventional or non-inventive labor, more or fewer operational steps may be included. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only execution order. In actual system or server product execution, the method can be executed sequentially or in parallel (e.g., in a parallel processor or multi-threaded processing environment) as shown in the embodiments or drawings. Specifically, as... Figure 1 As shown, the above method may include: S101: Obtain at least two temperature measurements within the air duct of the integrated stove.

[0021] In one specific embodiment, the integrated stove can be any integrated stove requiring firewall control. Each measured temperature data point can correspond to a measurement location, and temperature data can be collected at multiple different locations within the air duct for subsequent firewall control. Specifically, at least two connecting lines can be installed within the air duct, with one end of each line connected to a temperature sensing module. The temperature sensing module can be a temperature sensor used to collect temperature data. In practical applications, two firewall connecting lines can be installed within the air duct, each connected to a sensing probe to collect temperature data at its corresponding location.

[0022] S103: Determine the first comprehensive temperature data based on at least two measured temperature data and the first temperature difference data corresponding to the at least two measured temperature data.

[0023] In one specific embodiment, the first temperature difference data can be the difference between the upper limit temperature data (i.e., the maximum temperature data) and the lower limit temperature data (i.e., the minimum temperature data) of at least two measured temperature data. In practical applications, multiple measured temperature data can be calculated to obtain a comprehensive temperature data that combines temperature data from multiple locations. Subsequently, the opening and closing of the firewall can be controlled based on this comprehensive temperature data, which can improve the reliability and stability of the control.

[0024] In an optional embodiment, such as Figure 2 As shown, Figure 2 This is a schematic flowchart illustrating a process for determining first comprehensive temperature data according to an exemplary embodiment. The determination of the first comprehensive temperature data, based on at least two measured temperature data and first temperature difference data corresponding to the at least two measured temperature data, may include: S201: Determine the first target temperature data from at least two measured temperature data.

[0025] In one specific embodiment, the first target temperature data can be the temperature data that meets a preset condition among at least two measured temperature data. The preset condition can be set according to actual application requirements. For example, the first target temperature data can be the highest temperature data among at least two measured temperature data.

[0026] S203: Determine the first weighted data corresponding to the first target temperature data, and the second weighted data corresponding to the first temperature difference data.

[0027] In one specific embodiment, the sum of the first weighted data and the second weighted data is 1. The specific values ​​of the first weighted data and the second weighted data can be set according to actual application requirements. Specifically, if the main focus is on the difference between measured temperature data, the second weighted data can be set to a higher value and the first weighted data can be set to a lower value; if the main focus is on the overall temperature, the first weighted data can be set to a higher value and the second weighted data can be set to a lower value.

[0028] S205: Based on the first weighted data and the second weighted data, the first target temperature data and the first temperature difference data are weighted and summed to obtain the first comprehensive temperature data.

[0029] In one specific embodiment, the first weighted data is multiplied by the first target temperature data, and the second weighted data is multiplied by the first temperature difference data. The two products are then added together to obtain the aforementioned first comprehensive temperature data.

[0030] Specifically, when at least two temperature measurements are included, the first composite temperature data can be calculated using the following formula: Iwa=wa*max(T1,T2)+wd*|T1-T2| Wherein, Iwa represents the first comprehensive temperature data mentioned above, T1 and T2 are the two measured temperature data mentioned above, wa represents the data based on the first weight, and wd represents the data based on the second weight.

[0031] S105: If the first comprehensive temperature data is less than the first temperature threshold data and greater than or equal to the second temperature threshold data, determine the first temperature change data corresponding to the first preset time period based on the measured temperature data within the first preset time period.

[0032] In one specific embodiment, the first temperature change data can be used to characterize the degree of change in the measured temperature data within a first preset time period. The larger the first temperature change data, the greater the degree of change in the measured temperature data. Specifically, the measured temperature data at a first moment can be collected, and the measured temperature data at moments corresponding to the first preset time period before or after the first moment can be collected. The difference between these two temperature data is divided by the first preset time period to obtain the aforementioned first temperature change data. The first preset time period, the first temperature threshold data, and the second temperature threshold data can be set according to actual application requirements. For example, the first temperature threshold data can be set to any value between 80℃ and 90℃, and the second temperature threshold data can be set to any value between 65℃ and 75℃.

[0033] Specifically, the first temperature change data can be calculated using the following formula: dIwa / dt=(Iwa(t)-Iwa(t-Δt)) / Δt Wherein, dIwa / dt represents the aforementioned first temperature change data, Δt represents the aforementioned first preset time period, and t represents the aforementioned first moment.

[0034] S107: If the first temperature change data is greater than or equal to the third temperature threshold data, control the firewall to be enabled.

[0035] In one specific embodiment, when the first comprehensive temperature data is less than the first temperature threshold data and greater than or equal to the second temperature threshold data, and the first temperature change data is greater than or equal to the third temperature threshold data, the firewall is activated. Specifically, activating the firewall may include controlling the touch sensor of the integrated stove display panel to malfunction, controlling the buzzer to start an alarm, controlling the output of a flameout signal and a fan shutdown signal, or triggering the display panel to display a fault code, or one or more of these actions. Specifically, the third temperature threshold data can be set according to actual application requirements.

[0036] Optionally, the above method may also include: If the first comprehensive temperature data is greater than or equal to the first temperature threshold data, enable the firewall.

[0037] Optionally, the equipment operates normally if the first comprehensive temperature data is less than the first temperature threshold data and less than the second temperature threshold data. The equipment also operates normally if the first comprehensive temperature data is less than the first temperature threshold data, greater than or equal to the second temperature threshold data, and the first temperature change data is less than the third temperature threshold data.

[0038] In an optional embodiment, such as Figure 3 As shown, the above method may further include: S301: Obtain historical temperature data within the air duct of the integrated stove.

[0039] In one specific embodiment, the above-mentioned at least two measured temperature data can be temperature data collected at the current moment, and the historical temperature data can be temperature data collected at multiple moments prior to the current moment. S303: Extract features from at least two measured temperature data and historical temperature data to obtain time-series temperature features.

[0040] In one specific embodiment, the measured temperature at the current moment and the historical temperature can be input into a feature extraction network for feature extraction to obtain time-series temperature features. Specifically, the feature extraction network can be a convolutional neural network (CNN), and the network structure of the feature extraction network can be set according to the actual application requirements.

[0041] S305: Perform temperature prediction based on time-series temperature characteristics to obtain at least two predicted temperature data.

[0042] In one specific embodiment, each predicted temperature data point can correspond to the next time point of the current time, and at least two predicted temperature data points can correspond one-to-one with the aforementioned at least two measured temperature data points. Specifically, time-series temperature features can be input into the prediction network for temperature prediction. The prediction network can learn the dependencies over long time spans based on the extracted time-series temperature features, thereby obtaining each of the aforementioned predicted temperature data points. Specifically, the prediction network can be a Long Short-Term Memory (LSTM) network, and the network structure of the prediction network can be set according to the actual application requirements.

[0043] In practical applications, real-time and historical temperature data from two probes can be input into a CNN network to output a temporal feature matrix, which is then input into an LSTM network with Tanh as the activation function. Finally, the features output by the LSTM network are mapped to the predicted values ​​through a linear layer via a fully connected layer, and then the predicted values ​​are restored to the actual temperature values ​​through inverse normalization to obtain the predicted temperature data mentioned above.

[0044] During the training of the feature extraction network and the prediction network, backpropagation is performed based on the loss information between the output predicted temperature data and the preset temperature data at that time to update the network parameters. Specifically, this loss information can be mean squared error loss information. Optionally, the loss weights of the CNN network can be set to be greater than the loss weights of the LSTM network.

[0045] S307: Determine the second comprehensive temperature data based on the second target temperature data from at least two predicted temperature data, the second temperature difference data corresponding to at least two predicted temperature data, and their respective weight data.

[0046] In one specific embodiment, the maximum temperature data among at least two predicted temperature data can be multiplied with the corresponding weight data, and the second temperature difference data corresponding to at least two predicted temperature data can be multiplied with the corresponding weight data. The sum of the two products is then used to obtain the aforementioned second comprehensive temperature data.

[0047] S309: If the second comprehensive temperature data is greater than or equal to the first temperature threshold data, control the firewall to be enabled.

[0048] Optionally, the above method may also include: If any predicted temperature data is less than the fourth temperature threshold data and greater than or equal to the fifth temperature threshold data, the second temperature change data corresponding to the second preset time period is determined based on the temperature data within the second preset time period. If the second temperature change data is greater than or equal to the sixth temperature threshold data, enable the firewall.

[0049] In one specific embodiment, the need to enable a firewall can be determined based on a single predicted temperature data point. While ensuring the accuracy of the predicted temperature data, this improves firewall enabling efficiency and helps prevent incidents in a timely manner. Specifically, the difference between the predicted temperature data and the actual temperature data at a time point before or after the predicted temperature data point can be divided by the first preset time period to obtain the aforementioned first temperature change data. The second preset time period, fourth temperature threshold data, fifth temperature threshold data, and sixth temperature threshold data can be set according to actual application requirements.

[0050] Optionally, the device operates normally if any predicted temperature data is less than the fourth temperature threshold data and less than the fifth temperature threshold data. The device also operates normally if any predicted temperature data is less than the fourth temperature threshold data, greater than or equal to the fifth temperature threshold data, and the second temperature change data is less than the sixth temperature threshold data.

[0051] Optionally, firewall control can be based on any measured temperature data. The judgment method is the same as the judgment method based on a single predicted temperature data mentioned above, and will not be repeated here. Optionally, the operating data of other components of the integrated stove can be linked to form cross-verification of duct temperature and multiple component status to improve the accuracy of judgment. Specifically, data from the duct pressure sensor can be obtained to determine whether the duct is blocked. When blocked, the temperature is likely to rise abnormally. The historical status of the firewall actuator can be checked, such as whether it has been frequently triggered recently. If it is frequent, the trigger sensitivity should be reduced to avoid mechanical fatigue. The temperature of the thermocouple at the burner head can be checked to determine whether the flame is abnormally overflowing. When overflowing, the duct temperature and thermocouple temperature will rise simultaneously. Specifically, the firewall will be activated when the measured temperature in the duct meets the aforementioned preset conditions and meets any of the following conditions: the duct pressure is less than the set value (i.e., blocked), the thermocouple temperature is greater than the preset temperature (e.g., 80°C, i.e., flame overflowing), or the firewall has not been triggered within a recent period (e.g., 1 hour) to avoid frequent false triggering.

[0052] Optionally, kitchen environmental parameters can be incorporated to compensate for and correct duct temperature measurements, avoiding misjudgments caused by environmental interference. Specifically, kitchen environmental parameters can include ambient temperature and humidity data. The duct temperature can be corrected based on these parameters. For example, when the ambient temperature exceeds a first preset temperature (e.g., 35℃, high summer temperatures), the measured duct temperature is subtracted by a preset value (e.g., 2℃) to avoid misjudgments caused by high-temperature conduction. When the ambient humidity exceeds a first preset humidity (e.g., 70%, rainy season), the measured value is increased by a preset value (e.g., 1℃), as high humidity leads to slower heat dissipation and a higher actual risk. Optionally, when the ambient temperature exceeds a second preset temperature (e.g., 40℃) or the humidity exceeds a second preset humidity (e.g., 85℃), the firewall trigger threshold can be reduced by a certain percentage (e.g., 5%) to improve the security level in extreme environments.

[0053] As can be seen from the technical solutions provided in the embodiments of this specification above, this specification obtains at least two measured temperature data within the air duct of the integrated stove, with each measured temperature data corresponding to a measurement location; based on the at least two measured temperature data and the first temperature difference data corresponding to the at least two measured temperature data, a first comprehensive temperature data is determined; when the first comprehensive temperature data is less than a first temperature threshold data and greater than or equal to a second temperature threshold data, based on the measured temperature data within a first preset time period, a first temperature change data corresponding to the first preset time period is determined; when the first temperature change data is greater than or equal to a third temperature threshold data, the firewall is controlled to open.

[0054] Therefore, based on the measured temperature data corresponding to multiple different locations within the integrated stove's air duct, and the temperature difference data corresponding to these multiple measured temperature data, a comprehensive temperature data is determined. Then, when the first comprehensive temperature data is less than a first temperature threshold data and greater than or equal to a second temperature threshold data, the temperature change data within a first preset time period is determined based on the measured temperature data within that time period. And when the first temperature change data is greater than or equal to a third temperature threshold data, the firewall is controlled to open, thereby improving the accuracy and reliability of the integrated stove's firewall control and avoiding misjudgments.

[0055] This invention also provides a firewall control system deployed within an integrated stove. The control system includes at least two temperature sensing modules and a control module, with each temperature sensing module located within the air duct of the integrated stove. The at least two temperature sensing modules acquire at least two measured temperature data points within the air duct of the integrated stove. The control module determines a first comprehensive temperature data point based on the at least two measured temperature data points and corresponding first temperature difference data. It also determines a first temperature change data point corresponding to a first preset time period based on the measured temperature data within a first preset time period when the first comprehensive temperature data point is less than a first temperature threshold data point and greater than or equal to a second temperature threshold data point. Finally, it controls the firewall to open when the first temperature change data point is greater than or equal to a third temperature threshold data point.

[0056] Optionally, the control module is also used to acquire historical temperature data within the air duct of the integrated stove; and to extract features from at least two measured temperature data and historical temperature data to obtain time-series temperature features; the at least two measured temperature data correspond to the current time; and to perform temperature prediction based on the time-series temperature features to obtain at least two predicted temperature data; each predicted temperature data corresponds to the next time after the current time; and to determine a second comprehensive temperature data based on the second target temperature data in the at least two predicted temperature data, the second temperature difference data corresponding to the at least two predicted temperature data, and their respective weight data; and to control the firewall to open when the second comprehensive temperature data is greater than or equal to the first temperature threshold data.

[0057] Optionally, at least two connecting wires are installed inside the air duct, with one end of each connecting wire connected to a temperature sensing module and the other end of each connecting wire connected to a control module.

[0058] In practical applications, the integrated stove comprises a head unit and a body. The head unit has a display panel, while the body has a power board, a drive board, and two sensor probes. Each sensor probe is symmetrically placed within the air duct at the back of the body and connected to the power board via a firewall cable. The display panel is connected to the power board via a first communication interface, and the power board is connected to the drive board (i.e., the control module) via a second communication interface. The body also features a pulse igniter, and the power board has an igniter connector. This connector supplies power to the pulse igniter when the user operates the ignition knob of the integrated stove, thereby controlling the burner's operation.

[0059] Optionally, the control module is deployed in the cloud, and temperature data collected by at least two temperature sensing modules is sent to the cloud. Specifically, the transmission frequency can be set according to the temperature conditions. For example, when the temperature is within the normal and safe range, temperature data is sent to the cloud at a lower frequency (e.g., every 3 minutes), and the transmitted temperature data may include the highest temperature value and the average temperature. If the temperature is detected to exceed the safe threshold, the transmission frequency can be switched from tiered to second-level (e.g., every 5 seconds) to send temperature data to the cloud, and the transmitted temperature data may include the real-time temperature.

[0060] Regarding the system in the above embodiments, the specific methods by which each module performs operations have been described in detail in the foregoing embodiments, and will not be elaborated upon here.

[0061] The present invention also provides an integrated stove, including the above-mentioned firewall control system, or using the above-mentioned firewall control method for firewall control.

[0062] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0063] Other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles disclosed herein and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the following claims.

[0064] It should be understood that the present invention is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is limited only by the appended claims.

Claims

1. A firewall control method applied to an integrated stove, characterized in that, The method includes: Acquire at least two temperature measurement data points within the air duct of the integrated stove, with each temperature measurement data point corresponding to a measurement location; Based on the at least two measured temperature data and the first temperature difference data corresponding to the at least two measured temperature data, a first comprehensive temperature data is determined; If the first comprehensive temperature data is less than the first temperature threshold data and greater than or equal to the second temperature threshold data, the first temperature change data corresponding to the first preset time period is determined based on the measured temperature data within the first preset time period. If the first temperature change data is greater than or equal to the third temperature threshold data, the firewall is enabled.

2. The method according to claim 1, characterized in that, The determination of the first comprehensive temperature data based on the at least two measured temperature data and the first temperature difference data corresponding to the at least two measured temperature data includes: Determine the first target temperature data from the at least two measured temperature data; Determine the first weighted data corresponding to the first target temperature data, and the second weighted data corresponding to the first temperature difference data; Based on the first weighted data and the second weighted data, the first target temperature data and the first temperature difference data are weighted and summed to obtain the first comprehensive temperature data.

3. The method according to claim 1, characterized in that, The method further includes: Obtain historical temperature data within the air duct of the integrated stove; Feature extraction is performed on the at least two measured temperature data points and the historical temperature data to obtain time-series temperature features; the at least two measured temperature data points correspond to the current time. Temperature prediction is performed based on the time-series temperature characteristics to obtain at least two predicted temperature data; each predicted temperature data corresponds to the next time step of the current time step. Based on the second target temperature data in the at least two predicted temperature data, the second temperature difference data corresponding to the at least two predicted temperature data and their respective weight data, the second comprehensive temperature data is determined. If the second comprehensive temperature data is greater than or equal to the first temperature threshold data, the firewall is enabled.

4. The method according to claim 3, characterized in that, The method further includes: If any predicted temperature data is less than the fourth temperature threshold data and greater than or equal to the fifth temperature threshold data, the second temperature change data corresponding to the second preset time period is determined based on the temperature data within the second preset time period. If the second temperature change data is greater than or equal to the sixth temperature threshold data, the firewall is enabled.

5. The method according to claim 1, characterized in that, The method further includes: If the first comprehensive temperature data is greater than or equal to the first temperature threshold data, the firewall is enabled.

6. A firewall control system, characterized in that, The control system is deployed inside the integrated stove, and the control system includes at least two temperature sensing modules and a control module, with each temperature sensing module located inside the air duct of the integrated stove; The at least two temperature sensing modules are used to acquire at least two measured temperature data within the air duct of the integrated stove; The control module is used to determine the first comprehensive temperature data based on the at least two measured temperature data and the first temperature difference data corresponding to the at least two measured temperature data; And when the first comprehensive temperature data is less than the first temperature threshold data and greater than or equal to the second temperature threshold data, it is used to determine the first temperature change data corresponding to the first preset time period based on the measured temperature data within the first preset time period. And to control the firewall to open when the first temperature change data is greater than or equal to the third temperature threshold data.

7. The firewall control system according to claim 6, characterized in that, The control module is also used to acquire historical temperature data within the air duct of the integrated stove; and to extract features from the at least two measured temperature data and the historical temperature data to obtain time-series temperature features. The at least two measured temperature data points correspond to the current time; and are used to perform temperature prediction based on the time-series temperature characteristics to obtain at least two predicted temperature data points; each predicted temperature data point corresponds to the next time point of the current time. And for determining a second comprehensive temperature data based on a second target temperature data in the at least two predicted temperature data, a second temperature difference data corresponding to the at least two predicted temperature data, and their respective weight data; and for controlling the firewall to open when the second comprehensive temperature data is greater than or equal to the first temperature threshold data.

8. The firewall control system according to claim 6, characterized in that, The control module is deployed in the cloud, and the temperature measurement data collected by the at least two temperature sensing modules is sent to the cloud.

9. The firewall control system according to claim 6, characterized in that, At least two connecting lines are installed inside the air duct. One end of each connecting line is connected to a temperature sensing module, and the other end of each connecting line is connected to the control module.

10. An integrated stove, characterized in that, This includes a firewall control system as described in any one of claims 6 to 9, or firewall control using a firewall control method as described in any one of claims 1 to 5.

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