Gas stove and blast adjusting method
By monitoring combustion efficiency in real time and calculating the speed compensation factor, the air volume is dynamically adjusted, solving the problem of incomplete combustion in traditional gas stoves under complex operating conditions, and achieving efficient and stable combustion in different environments.
Patent Information
- Application Number
- CN202511195270.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-25
- Publication Date
- 2025-12-05
AI Technical Summary
Traditional gas stoves are difficult to adapt to complex operating conditions, resulting in incomplete combustion, unstable firepower output, and reduced thermal efficiency. Furthermore, the fixed preset air volume cannot cope with the differences in different environments and gas types.
The data acquisition module monitors the factors affecting combustion efficiency in real time. The controller calculates the speed compensation factor based on the measured data and dynamically adjusts the speed of the blower to match the actual working conditions, thereby achieving the optimal ratio of air volume to fuel volume.
It improves the combustion stability and overall thermal efficiency of gas stoves under different complex operating conditions, reduces heat loss caused by incomplete combustion, and ensures the stability and efficiency of firepower output.
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Figure CN121067360A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of gas stoves, and in particular to a gas stove and a blast adjusting method. BACKGROUND
[0002] A gas stove is a common kitchen appliance for cooking and food processing by converting the chemical energy of gas into heat energy through combustion. With the continuous progress of gas technology and the wide popularity of household and commercial kitchens, gas stoves have become an indispensable device in modern life.
[0003] In the conventional technology, the blast volume of a gas stove is usually determined by a large number of experimental tests before leaving the factory. The corresponding gas supply and blast volume are preset for different fire power levels, and the operation of the blast device is controlled accordingly to achieve the step control of the fire power.
[0004] However, with the increasing popularity of gas stoves and the complexity of the use environment, the gas stove may face various complex working conditions in actual use. The preset blast volume is difficult to adapt to various complex working conditions, which may lead to insufficient combustion, unstable fire power output, and thus reduce the thermal efficiency. SUMMARY
[0005] The present application provides a gas stove and a blast adjusting method to solve the problem of how to improve the thermal efficiency of a gas stove under different working conditions.
[0006] In a first aspect, some embodiments provide a gas stove, comprising: a gas supply module configured to deliver gas to a burner;
[0007] a blast device configured to deliver air to the burner;
[0008] a burner configured to ignite a mixture of air and gas;
[0009] a data acquisition module configured to acquire measured data of a combustion efficiency influencing factor;
[0010] a controller configured to:
[0011] in response to a fire power adjusting operation, obtain expected speed data corresponding to the fire power adjusting operation, and adjust the speed of the blast device according to the expected speed data;
[0012] detect actual speed data of the blast device after the speed adjustment;
[0013] obtain a speed compensation factor corresponding to the measured data acquired after the speed adjustment, and compensate for the speed deviation between the actual speed data and the expected speed data according to the speed compensation factor to obtain target speed deviation data;
[0014] Adjust the rotation speed of the air blowing device according to the target rotation speed deviation data.
[0015] Technical effects: By acquiring the expected rotation speed data corresponding to the firepower adjustment operation in response to the firepower adjustment operation, the running state that the air blowing device should reach after the firepower adjustment can be determined; by adjusting the rotation speed of the air blowing device according to the expected rotation speed data and detecting the actual rotation speed data of the air blowing device after the rotation speed adjustment, the running state that the air blowing device actually reaches after the firepower adjustment can be determined; by comparing the difference between the two, the rotation speed deviation can be quantified, which can represent the deviation between the actual air blowing amount and the theoretical required air blowing amount, and feedback adjustment of the rotation speed based on this can reduce the deviation between the actual air blowing amount and the theoretical required air blowing amount. On the other hand, due to the difference between the actual working condition and the ideal working condition, the theoretical required air blowing amount for complete combustion of the gas will be affected, so by collecting the measured data as a quantitative basis for environmental disturbance, determining the rotation speed compensation factor, and introducing the rotation speed compensation factor into the rotation speed deviation correction process, accurate compensation for the air blowing amount deviation caused by environmental disturbance can be achieved. In this way, by identifying the rotation speed fluctuation and the working condition difference and adapting to the rotation speed fluctuation and the working condition difference to dynamically adjust the air blowing amount, the actual air amount and the gas amount can still be as close to the optimal ratio as possible under the rotation speed fluctuation and the environmental disturbance, thereby promoting the complete combustion of the gas, minimizing the heat loss caused by incomplete combustion, and significantly improving the combustion stability and overall thermal efficiency of the gas stove under different complex working conditions.
[0016] In a second aspect, some embodiments further provide an air blowing adjustment method applied to the gas stove provided in the first aspect, the gas stove comprising a gas supply module, an air blowing device, a burner, a data acquisition module and a controller, and the method comprising:
[0017] In response to the firepower adjustment operation, acquiring expected rotation speed data corresponding to the firepower adjustment operation, and adjusting the rotation speed of the air blowing device according to the expected rotation speed data;
[0018] Detecting the actual rotation speed data of the air blowing device after the rotation speed adjustment;
[0019] Acquiring a rotation speed compensation factor corresponding to the measured data collected after the rotation speed adjustment, compensating the rotation speed deviation between the actual rotation speed data and the expected rotation speed data according to the rotation speed compensation factor, and obtaining target rotation speed deviation data;
[0020] Adjusting the rotation speed of the air blowing device according to the target rotation speed deviation data.
[0021] Technical effects: By responding to the fire adjustment operation, obtaining the expected speed data corresponding to the fire adjustment operation, it can be determined that the blower device should reach the running state after the fire adjustment; By adjusting the speed of the blower device according to the expected speed data, and detecting the actual speed data of the blower device after the speed adjustment, it can be determined that the blower device actually reaches the running state after the fire adjustment; By comparing the difference between the two, the speed deviation can be quantified, which can represent the deviation between the actual air volume and the theoretical required air volume. Based on this, the speed feedback adjustment can reduce the deviation between the actual air volume and the theoretical required air volume. On the other hand, due to the difference between the actual working condition and the ideal working condition, it will affect the theoretical required air volume for complete combustion of the gas. Therefore, by collecting the measured data as the quantitative basis for environmental disturbance, determining the speed compensation factor, and introducing the speed compensation factor into the speed deviation correction process, the accurate compensation for the air volume deviation caused by environmental disturbance can be realized. In this way, by identifying the speed fluctuation and the working condition difference, and adapting to the speed fluctuation and the working condition difference to dynamically adjust the air volume, the actual air volume and the gas volume can still be as close to the best ratio as possible under the speed fluctuation and the environmental disturbance, thereby promoting the complete combustion of the gas, minimizing the heat loss caused by incomplete combustion, and significantly improving the combustion stability and overall thermal efficiency of the gas stove under different complex working conditions. BRIEF DESCRIPTION OF DRAWINGS
[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.
[0023] Figure 1 The schematic diagram of the operation scene between the gas stove and the control device provided by some embodiments of the present application;
[0024] Figure 2 The hardware configuration schematic diagram of the gas stove provided by some embodiments of the present application;
[0025] Figure 3 The scene schematic diagram of signal interaction between the controller and the blower device provided by some embodiments of the present application;
[0026] Figure 4 The timing diagram for implementing the air volume adjustment method provided by some embodiments of the present application;
[0027] Figure 5 The flowchart for implementing the speed compensation factor detection process provided by some embodiments of the present application;
[0028] Figure 6 A flowchart for implementing a process of detecting actual rotation speed data is provided for some embodiments of the present application;
[0029] Figure 7 A flowchart for implementing a process of compensating rotation speed deviation is provided for some embodiments of the present application;
[0030] Figure 8 A flowchart for implementing a process of adjusting rotation speed is provided for some embodiments of the present application;
[0031] Figure 9 A flowchart for implementing a process of detecting initial frequency deviation value is provided for some embodiments of the present application;
[0032] Figure 10 A flowchart for implementing a process of adjusting air blast is provided for some embodiments of the present application. DETAILED DESCRIPTION
[0033] The embodiments will be described in detail with reference to the drawings, wherein like reference numerals refer to like parts throughout the several views. The following description is made with reference to the accompanying drawings in which the description makes reference to the drawings, but is not limited thereto. Description of the embodiments described in the following is not meant to represent all embodiments consistent with the present application. Rather, they are merely examples of systems and methods consistent with some aspects of the present application as detailed in the appended claims.
[0034] It should be noted that the brief description of terms in the present application is only for the convenience of understanding the following described embodiments, and is not intended to limit the embodiments of the present application. Unless otherwise specified, these terms should be understood according to their ordinary and customary meanings.
[0035] The terms "first", "second", "third", and the like in the specification and claims of the present application and the above-described drawings are used to distinguish similar or like objects or entities, and do not necessarily mean to limit a specific order or sequence, unless otherwise noted. It should be understood that the terms used in this way can be interchanged under appropriate circumstances.
[0036] The terms "include" and "have" and any variations thereof are intended to cover but not exclusively include, for example, a product or device containing a list of components without being limited to all the components clearly listed, but can include other components not clearly listed or inherent to such products or devices.
[0037] The term "module" refers to any known or later developed hardware, software, firmware, artificial intelligence, fuzzy logic, or combination of hardware and / or software code capable of performing the functions associated with that element.
[0038] In the embodiments of the present application, the gas stove can refer to a kitchen appliance for cooking dishes and processing food by converting the chemical energy of gas into heat energy. The gas used in the gas stove can refer to liquefied petroleum gas, artificial gas, natural gas, etc. According to the gas source, the gas stove can include a liquefied gas stove, a coal gas stove, and a natural gas stove. According to the burner, the gas stove can include a single burner, a double burner, and a multi-burner.
[0039] The embodiments of the present application provide a gas stove, such as Figure 1 , Figure 1 The structural schematic diagram of the gas stove provided by some embodiments of the present application is shown. The gas stove includes a base and a burner 102. The base includes a cooktop 104 and a bottom shell 106. The working temperature of the cooktop 104 is generally 200-300°C, so the cooktop 104 has a high requirement for high-temperature resistance. Specifically, the cooktop 104 can be a stainless steel panel, a tempered glass panel, a microcrystalline glass panel, a ceramic panel, etc. During the use of the gas stove, the cooktop 104 is located above the bottom shell 106. The cooktop 104 is provided with a control knob 108 and a mounting hole 110. The control knob 108 is used to control the ignition of the gas stove and adjust the fire size of the gas stove.
[0040] The burner 102 includes a burner head and an ejector pipe. The cooktop 104 and the bottom shell 106 form an accommodating cavity. The burner 102 is arranged in the accommodating cavity. The burner head extends out of the base through the mounting hole 110 on the cooktop 104 to heat the cooking appliance.
[0041] The gas stove further includes a gas supply module. The gas supply module is used to supply gas to the burner. The gas enters the ejector pipe through a gas inlet, and reaches the gas outlet of the ejector pipe and the fire hole on the burner head through the ejector pipe. The burner head is further provided with an ignition device. The gas at the fire hole is ignited by the ignition device, thereby realizing the ignition of the gas stove. Exemplarily, the ignition device can be an electronic pulse ignition device or a piezoelectric ceramic ignition device, etc.
[0042] The combustion of gas needs the participation of oxygen. During the operation of the gas stove, air is usually used to replace oxygen. When the gas flows through the fire hole, the flowing gas generates negative pressure, so that the surrounding air converges towards the flowing gas, thereby providing oxygen for the combustion of the gas, achieving the effect of air supply. However, it is difficult to meet the complete combustion of the gas by relying on the air supply at the fire hole only. The incomplete combustion of the gas not only causes heat loss and reduces the combustion efficiency, but also may produce polluting gases such as carbon monoxide and nitrogen oxides, causing air pollution.
[0043] Therefore, the gas stove further includes a blowing device. Exemplarily, the blowing device can be a blower. The blowing device is connected with the ejector pipe and is used to transport air to the ejector pipe to supply air for the combustion of the gas. The air supply by the blowing device is helpful to the complete combustion of the gas.
[0044] In some embodiments, as shown in Figure 2 Figure 2 A hardware configuration schematic diagram of the gas stove provided for some embodiments of the present application is shown.
[0045] In some embodiments, the gas stove can include at least one of a controller 210, a communication device 220, a data acquisition module 230, a blowing device 240, a gas supply module 250, a burner 260, a power supply, etc.
[0046] In some embodiments, the communication device 220 is a component for communicating with external devices or servers according to various communication protocol types. The gas stove can be provided with multiple communication devices 220 according to different supported communication modes. For example, when the gas stove supports wireless network communication, the gas stove can be provided with a communication device 220 containing WiFi function. When the gas stove supports Bluetooth connection communication, the gas stove needs to be provided with a communication device 220 containing Bluetooth function.
[0047] The communication device 220 can connect the gas stove with external devices or servers through wireless or wired connection. The wired connection can connect the gas stove with the first external device through data lines, interfaces, etc. The wireless connection can connect the gas stove with the first external device through wireless signals or wireless networks. The gas stove can directly establish a connection relationship with the first external device, or indirectly establish a connection relationship through a gateway, a router, a connection device, etc.
[0048] In some embodiments, the external device can be a mobile terminal or a control device. The user can operate the gas stove through the mobile terminal or the control device. For example, the control device can be a remote controller, a stylus, a handle, etc. The mobile terminal can be used as a control device for performing human-computer interaction between the user and the gas stove. The mobile terminal can also be used as a communication device for establishing a communication connection with the gas stove and interacting data.
[0049] In some embodiments, the controller 210 can adopt a programmable logic controller 210, a single-chip microcomputer or a computer, etc. The controller 210 can include a processor, a memory, a first interface to an n-th interface for input / output. The controller 210 is used to control the overall operation of the gas stove.
[0050] In some embodiments, the gas stove can also include a display screen. The display screen is used for information display. For example, the gear information and the firepower information of the gas stove can be displayed on the display screen.
[0051] In some embodiments, the display screen can also be used for human-computer interaction. The user can operate the gas stove through touch operations on the display screen. For example, an on key, an off key, a gear key, etc. of the gas stove can be set on the display screen.
[0052] It should be noted that the above examples are only a simple division of the operating system functions, and do not constitute a limitation on the specific operating system form of the gas stove in the embodiments of the present application. According to the function of the gas stove, the type of the operating system, and other factors, the number and specific type of levels contained in the operating system can be in other forms.
[0053] A gas stove is a common kitchen appliance that converts the chemical energy of gas into heat energy through combustion for cooking and food processing. With the continuous progress of gas technology and the widespread popularity of home and commercial kitchens, gas stoves have become an indispensable device in modern life. In traditional technology, the air volume of the gas stove is usually determined by a large number of experimental tests before leaving the factory. The corresponding gas supply and air volume are preset for different fire power gears, and the operation of the air blowing device is controlled accordingly to achieve step control of the fire power.
[0054] However, on the one hand, in actual operation, due to factors such as the characteristics of the motor itself, power supply voltage fluctuations, mechanical wear and tear, or load changes, the actual speed of the air blowing device often cannot accurately reach the expected value, resulting in a persistent deviation between the actual air volume and the set value. On the other hand, with the increasing popularity of gas stoves and the complexity of the use environment, gas stoves may face various complex working conditions in actual use. Under different working conditions, the air volume required for complete combustion of the same amount of gas is different. For example, under different environmental conditions such as temperature and air pressure, the oxygen content in the same volume of air is different, so the air volume required for complete combustion of the same amount of gas is also different. For example, different types of gas contain different amounts of combustible molecules per unit volume, so the air volume required for complete combustion of the same amount of gas is also different. The control method of fixed preset air volume is difficult to adapt to various complex working conditions. If the air volume is too much, the excess air will take away heat, which may reduce the effective heat output and overall thermal efficiency. If the air volume is insufficient, the gas cannot be fully burned, not only generating harmful substances such as carbon monoxide, but also reducing the actual heat output due to the release of part of the chemical energy, which not only wastes energy, but also causes the actual fire power to be lower than the expected set gear, resulting in a significant decrease in overall thermal efficiency.
[0055] In some embodiments, a gas stove is provided, which includes:
[0056] A gas supply module configured to deliver gas to the burner;
[0057] An air blowing device configured to deliver air to the burner;
[0058] a burner configured to ignite a mixture of air and gas;
[0059] a data acquisition module configured to acquire measured data of a factor affecting combustion efficiency;
[0060] a controller configured to:
[0061] in response to a firepower adjustment operation, acquire expected speed data corresponding to the firepower adjustment operation, and adjust a speed of the air blowing device according to the expected speed data;
[0062] detect actual speed data of the air blowing device after the speed adjustment;
[0063] acquire a speed compensation factor corresponding to the measured data acquired after the speed adjustment, compensate for a speed deviation between the actual speed data and the expected speed data according to the speed compensation factor, and obtain target speed deviation data;
[0064] adjust the speed of the air blowing device according to the target speed deviation data.
[0065] The data acquisition module can refer to a functional module for monitoring key parameters affecting combustion efficiency in real time, including but not limited to an environmental air pressure sensor, an environmental temperature sensor, an environmental humidity sensor, a flue gas composition detector, a flame temperature sensor, and a human-computer interaction module, etc. The various sensors can actively collect data. The human-computer interaction module can acquire user input data as measured data in response to user operation. For example, after determining the type of gas, the user can input or select the actual gas type information through the human-computer interaction module. Since the type of gas has a significant impact on combustion efficiency, the user input gas type information can be used as measured data to indicate the gas stove to configure the air blowing volume according to the actual gas type used. Since the user needs to purchase gas before using the gas stove, the gas type can be quickly, simply and accurately obtained. Therefore, compared with the way of detecting gas composition or detecting gas type based on physical or chemical principles, the way of obtaining gas type information through human-computer interaction is simpler and more accurate.
[0066] The factor affecting combustion efficiency can refer to an internal or external parameter that causes the ideal air-fuel ratio to change, thereby deviating from the optimal state of the combustion process, and ultimately reducing the thermal efficiency. The task of the data acquisition module is to monitor the changes of these factors in real time.
[0067] The factor affecting combustion efficiency can include at least one of a gas measurement factor, an air measurement factor, and a device state factor.
[0068] The gas-side factors can include at least one of gas pressure, gas type, gas temperature, etc. The change of gas pressure directly affects the amount of gas entering the burner per unit time. Too low pressure will result in insufficient gas supply, and too high pressure can cause backfire or explosion. The type of gas can include natural gas, liquefied petroleum gas, artificial gas, etc., and different types of gas have different calorific values and theoretical air requirements.
[0069] The air-side factors can include at least one of ambient temperature, ambient air pressure, ambient humidity, etc. The higher the ambient temperature, the lower the air density, and the lower the oxygen content in the same volume of blast volume. Conversely, the lower the temperature, the higher the oxygen content in the same volume of blast volume. The lower the ambient air pressure, the lower the oxygen content of the air, and vice versa. The lower the oxygen content in the air, the greater the blast volume required for complete combustion of the same amount of gas.
[0070] The device state factors can include at least one of blower performance degradation, nozzle clogging, etc. Blower performance degradation, such as motor aging, blade dust accumulation, can cause actual air supply capacity to decrease, and the blast volume under the same control signal to decrease. Nozzle clogging can affect gas injection speed and atomization effect, thereby changing the mixing effect of gas and air, and thus affecting the complete combustion of gas.
[0071] The fire adjustment operation can refer to the user's behavior of changing the output heat power of the gas stove by physical or electronic means, which is usually manifested as rotating a knob, pressing a button, or touch operation, and its essence is to send a signal representing the target fire level to the controller. For example, the user rotates the knob from the "small fire" position to the "medium fire" position, and the controller detects that the potentiometer voltage changes from 1V to 3V.
[0072] The desired speed data can refer to the speed or other physical quantities that can represent the speed, such as signal frequency, signal duty cycle, etc., that the blower theoretically needs to reach in an ideal laboratory environment, such as standard atmospheric pressure, standard temperature, and specific gas composition, to achieve the best combustion effect for the user-selected fire level. In some embodiments, the speed value, feedback signal frequency value, or feedback signal duty cycle corresponding to different levels can be determined through a large number of experiments, and a mapping relationship table of levels and desired speed data can be formed and stored in the controller of the gas stove.
[0073] The actual speed data is used to represent the actual speed or other physical quantities that can represent the speed, such as signal frequency, signal duty cycle, etc., that the blower may deviate from the target under real working conditions due to environmental influences.
[0074] The rotation speed compensation factor can refer to a dynamic correction coefficient calculated from measured data, which can be a dimensionless or unitized proportional factor, used to correct the air-fuel ratio deviation caused by changes in combustion efficiency influencing factors by adjusting the rotation speed of the air blowing device. The value thereof can reflect the adjustment requirement of the air blowing amount relative to the standard working condition under the current working condition.
[0075] The target rotation speed deviation data is used to represent the deviation between the actual rotation speed and the expected rotation speed of the air blowing device.
[0076] As an example, the target rotation speed deviation data can be the difference between the actual rotation speed value and the expected rotation speed value of the air blowing device.
[0077] As another example, the target rotation speed deviation data can be the difference between the actual frequency value of the feedback signal of the air blowing device and the expected frequency value corresponding to the fire adjustment operation.
[0078] In some embodiments, as shown in Figure 3 During the operation of the gas stove, the controller can control the air blowing device by sending a control signal to the air blowing device. At the same time, the air blowing device can return a feedback signal to the controller to synchronize the actual operating state of the air blowing device with the controller.
[0079] In some embodiments, the control signal is a PWM (Pulse Width Modulation) signal output by the controller to the motor drive circuit of the air blowing device. During the speed regulation of the air blowing device, the frequency of the control signal is usually kept constant, but its duty cycle is variable. The speed of the air blowing device can be regulated by adjusting the duty cycle. The greater the duty cycle, the higher the average voltage of the motor, and the faster the rotation speed. The feedback signal comes from a rotation speed sensor such as a Hall sensor, an encoder, etc. The rotation speed sensor outputs a pulse signal proportional to the rotation speed of the fan, usually one or more fixed-width pulses per rotation period, and its frequency changes with the rotation speed. Therefore, the controller can determine the current actual rotation speed of the fan by detecting the frequency of the feedback signal.
[0080] In some embodiments, as shown in Figure 4As shown, during the use of the gas stove, the user can perform a firepower adjustment operation on the gas stove according to actual needs. After the firepower adjustment operation is detected by the controller, the controller can determine the expected speed of the air blowing device under the ideal working condition and the target gas flow required to be delivered by the gas supply module according to the adjusted firepower; then, the controller can generate a control signal for the air blowing device according to the expected speed and generate a control signal for the gas supply module according to the target gas flow, and send the control signals to the air blowing device and the gas supply module respectively, so as to control the air blowing device to operate at the expected speed and control the gas supply module to provide gas to the burner at the target gas flow; then, the controller can receive the feedback signal fed back by the air blowing device after the speed adjustment and extract the actual speed data from the feedback signal. After the speed adjustment, the controller can also obtain the measured data from the data acquisition device and determine the speed compensation factor corresponding to the measured data; then, the speed deviation between the actual speed data and the expected speed data is compensated according to the speed compensation factor to obtain target speed deviation data. After the target speed deviation data is determined, the controller can regenerate the control signal according to the target speed deviation data and send the new control signal to the air blowing device to realize closed-loop control of the speed of the air blowing device.
[0081] In this embodiment, the speed compensation factor can be multiplied, added or weighted summed with the speed deviation, and the present embodiment does not limit the compensation manner of the speed compensation factor to the speed deviation.
[0082] In this embodiment, by responding to the firepower adjustment operation, the expected speed data corresponding to the firepower adjustment operation can be obtained, and the running state of the air blowing device after the firepower adjustment can be determined; by adjusting the speed of the air blowing device according to the expected speed data and detecting the actual speed data of the air blowing device after the speed adjustment, the actual running state of the air blowing device after the firepower adjustment can be determined; by comparing the difference between the two, the speed deviation can be quantified, which can represent the deviation between the actual air blowing amount and the theoretical required air blowing amount, and the feedback adjustment of the speed based on this can reduce the deviation between the actual air blowing amount and the theoretical required air blowing amount. On the other hand, due to the difference between the actual working condition and the ideal working condition, the theoretical required air blowing amount for complete combustion of gas will be affected, therefore, by collecting the measured data as a quantitative basis for environmental disturbance, determining the speed compensation factor, and introducing the speed compensation factor into the speed deviation correction process, the accurate compensation of the air blowing amount deviation caused by environmental disturbance can be realized. In this way, by identifying the speed fluctuation and the working condition difference and adapting to the speed fluctuation and the working condition difference to dynamically adjust the air blowing amount, the actual delivered air amount and gas amount can still be as close to the best ratio as possible under the speed fluctuation and environmental disturbance, thereby promoting the complete combustion of gas, minimizing the heat loss caused by incomplete combustion, and significantly improving the combustion stability and overall thermal efficiency of the gas stove under different complex working conditions.
[0083] In some embodiments, the data acquisition module comprises at least one of a temperature sensor, an air pressure sensor, and a fuel gas calorific value detection module; and the measured data comprises at least one of an air temperature measured value, an ambient air pressure measured value, and a fuel gas calorific value measured value.
[0084] It should be noted that in the conventional gas stove control system, the air volume is usually set based on the fixed parameters calibrated at the factory, and there is no data acquisition module for real-time sensing of the environment or fuel gas characteristics. Due to the lack of monitoring capability for key parameters such as ambient temperature, atmospheric pressure, and fuel gas calorific value, the system cannot identify changes in combustion conditions caused by regional differences, seasonal changes, or different sources of fuel gas supply. For example, the air pressure in high-altitude areas is significantly reduced, resulting in a decrease in air density. If air is still supplied at standard atmospheric pressure, it will cause insufficient combustion oxygen, and the combustion will not be sufficient. Changes in ambient temperature will affect air density and combustion reaction rate. The calorific value of fuel gas varies in different regions and from different sources, and the required theoretical air volume is also different. The fixed control logic of the prior art cannot guarantee that the optimal air-fuel ratio can be maintained in various real environments, resulting in unstable thermal efficiency, increased emissions, and other problems.
[0085] The temperature sensor can refer to a physical sensor for measuring the ambient temperature. The temperature sensor can be deployed at a position on the gas stove base that can effectively reflect the temperature of the air mixed with the fuel gas, to collect the air temperature measured value in real time, at regular intervals, or in a triggered manner. As an example, the temperature sensor can be deployed in the air pipe between the air blowing device and the burner or at the inlet and outlet positions of the pipe.
[0086] The air pressure sensor can refer to a physical sensor for measuring atmospheric pressure. The air pressure sensor can be integrated on the control panel to collect the ambient air pressure measured value in real time, at regular intervals, or in a triggered manner, to directly reflect the air pressure fluctuations caused by altitude or weather changes.
[0087] The fuel gas calorific value detection module can refer to a functional module that can indirectly or directly analyze the composition of fuel gas or calculate the calorific value contained in a unit volume. For example, the fuel gas calorific value detection module can infer the fuel gas calorific value measured value by monitoring the combustion flame characteristics and combining algorithms; or sample the burned fuel gas, measure the temperature rise and calculate the heat release, to obtain the fuel gas calorific value measured value of the current fuel gas; or receive user input or selected fuel gas type information, and query the fuel gas calorific value corresponding to the user input or selected fuel gas type information from a pre-set mapping relationship table of fuel gas types and fuel gas calorific values as the fuel gas calorific value measured value.
[0088] In the embodiment, by monitoring key parameters such as air temperature, ambient pressure and gas calorific value, the controller obtains the ability to perceive the working condition change. The controller can dynamically compensate the blast volume based on these measured data. Thus, the adaptability and robustness of the gas stove in different altitudes, different climates and different gas source scenarios are improved, so that the gas stove can maintain high thermal efficiency, low emission and stable firepower output in various complex user environments.
[0089] In some embodiments, as shown in Figure 5 In the process of obtaining the speed compensation factor corresponding to the measured data collected after the speed adjustment, the controller is further configured to perform the following steps:
[0090] Step 502, obtaining the measured data collected by the data acquisition module after the firepower adjustment;
[0091] Step 504, detecting the speed compensation factor corresponding to the measured data by the preset combustion efficiency compensation model.
[0092] It should be noted that in the traditional gas stove control strategy, the parameters such as air inlet temperature, atmospheric pressure and gas quality are often assumed to be constant, but in reality these factors continue to fluctuate. The control strategy based on constant parameters cannot guarantee that the optimal air-fuel ratio can be maintained in various real environments, resulting in unstable thermal efficiency, increased emissions and other problems.
[0093] The combustion efficiency compensation model refers to a mathematical model or algorithm structure for describing the mapping relationship between the measured data and the speed compensation factor, aiming to maximize the combustion efficiency. Its function is to calculate the corresponding speed compensation factor according to the input measured data. The model parameters of the combustion efficiency compensation model can be determined by historical data or experimental data calibration to ensure that it can accurately reflect the optimal matching relationship of air-fuel ratio in the actual combustion process, thereby providing a reliable basis for dynamic adjustment of the blast volume.
[0094] As an example, the combustion efficiency compensation model can be expressed as:
[0095]
[0096] Where β is the speed compensation factor; T ref is the air temperature reference value, i.e., the air temperature corresponding to the ideal working condition; P ref is the ambient pressure reference value, i.e., the ambient pressure corresponding to the ideal working condition; G ref is the gas calorific value reference value, i.e., the gas calorific value corresponding to the ideal working condition; T is the measured value of air temperature; P is the measured value of ambient pressure; G is the measured value of gas calorific value; K t , K p and K gare model parameters. The air temperature reference value, the ambient pressure reference value, and the gas heat value reference value can be determined according to the detection conditions of the desired speed data, and the present embodiment does not limit the same. For example, if the desired speed data is determined under ideal working conditions of an air temperature of 25 ℃, an atmospheric pressure of 101.3 kPa, and a gas heat value of 35 MJ / m 3 . t p g The values of K t , K p , and K g may be determined through historical data or experimental data calibration.
[0097] As an example, the determination of K t , K p , and K g may include: first determining the variation ranges of the air temperature measured value, the ambient pressure measured value, and the gas heat value measured value according to actual needs, determining multiple combinations of measured data of the three values; then performing experiments on each combination of measured data under ideal working conditions to test the speed compensation factor required for each combination of measured data to achieve complete combustion under ideal working conditions. Then, according to the experimental test results, the above combustion efficiency compensation model is fitted to obtain K t , K p , and K g .
[0098] As another example, the determination of K t , K p , and K g may include: first determining the variation ranges of the air temperature measured value, the ambient pressure measured value, and the gas heat value measured value according to actual needs; then calibrating K g under the condition of fixed T and P, K p under the condition of fixed T and G, and K t under the condition of fixed P and G.
[0099] In some embodiments, after receiving the feedback signal fed back by the air blowing device after speed adjustment, the controller can communicate with the data acquisition module to obtain the measured data collected by the data acquisition module. These measured data include, but are not limited to, at least one of the air temperature measured value, the ambient pressure measured value, and the gas heat value measured value; and then the controller can input the obtained measured data into the preset combustion efficiency compensation model to obtain the speed compensation factor output by the combustion efficiency compensation model.
[0100] As an example, if the combustion efficiency compensation model is a multi-dimensional lookup table structure, the controller locates a corresponding grid in the multi-dimensional table according to at least one of the air temperature measured value, the ambient air pressure measured value, and the fuel gas heat value measured value, and obtains the rotation speed compensation factor through linear interpolation.
[0101] As another example, if the model is in the form of a mathematical formula, the rotation speed compensation factor can be directly calculated after substituting at least one of the air temperature measured value, the ambient air pressure measured value, and the fuel gas heat value measured value.
[0102] In this embodiment, through the mapping operation of the model, complex environmental disturbances can be converted into quantifiable control correction amounts, thereby achieving precise adjustment of the rotation speed of the air blowing device. In this way, regardless of whether it is at high altitude, plain, winter, or summer, regardless of the type of fuel gas used, the gas stove can automatically maintain the air-fuel ratio near the optimal value, thereby significantly improving the stability and average value of thermal efficiency, effectively reducing harmful gas emissions, and ensuring the stability and reliability of the firepower output.
[0103] In some embodiments, the rotation speed compensation factor is positively correlated with the air temperature measured value;
[0104] The rotation speed compensation factor is negatively correlated with the ambient air pressure measured value;
[0105] The rotation speed compensation factor is positively correlated with the fuel gas heat value measured value.
[0106] When the air temperature rises, the air density decreases, and the oxygen content in a unit volume decreases. If the same air volume is maintained, it will result in insufficient oxygen for fuel gas combustion. Therefore, the rotation speed compensation factor can be increased to drive the air blowing device to rotate at a higher speed to compensate for the decrease in oxygen density caused by the increase in air temperature. Conversely, when the air temperature decreases, the air density increases, and the oxygen content in a unit volume increases. If the same air volume is maintained, it will result in excessive air blowing, and the excess air will carry away heat, which may result in a decrease in effective heat energy output and a decrease in overall thermal efficiency. Therefore, the rotation speed compensation factor can be reduced to drive the air blowing device to rotate at a lower speed to match the actual demand for oxygen required for complete combustion of fuel gas.
[0107] Atmospheric pressure directly affects the partial pressure and concentration of oxygen in the air. In high-altitude areas, the ambient air pressure is significantly lower than the standard atmospheric pressure, and the air is thin, and the oxygen supply capacity is reduced. Therefore, the rotation speed of the air blowing device can be increased by increasing the rotation speed compensation factor to compensate for the decrease in oxygen supply capacity caused by the low atmospheric pressure. Conversely, in low-altitude areas, the ambient air pressure is higher, and the oxygen supply capacity is higher. If the same air volume is maintained, it will result in excessive air blowing, and the excess air will carry away heat, which may result in a decrease in effective heat energy output and a decrease in overall thermal efficiency. Therefore, the rotation speed of the air blowing device can be reduced by reducing the rotation speed compensation factor to match the actual demand for oxygen required for complete combustion of the gas.
[0108] The gas calorific value reflects the theoretical air quantity required for complete combustion of unit volume of gas. The higher the gas calorific value, the more combustible molecules are contained in unit volume, and therefore more oxygen is required for complete combustion. Therefore, the rotation speed of the air blowing device can be increased by increasing the rotation speed compensation factor to provide the amount of oxygen required for complete combustion of the gas. Conversely, if the gas calorific value is low, the combustible molecules contained in unit volume are less, and if the same air volume is maintained, it will result in excessive air blowing, and the excess air will carry away heat, which may result in a decrease in effective heat energy output and a decrease in overall thermal efficiency. Therefore, the rotation speed of the air blowing device can be reduced by reducing the rotation speed compensation factor to match the actual demand for oxygen required for complete combustion of the gas.
[0109] In the present embodiment, by setting the explicit correlation between the rotation speed compensation factor and the air temperature, the ambient air pressure and the gas calorific value, scientific and accurate adjustment of the air blowing volume is achieved. The gas stove can dynamically respond to changes in external conditions to effectively avoid the problem of incomplete combustion caused by high temperature, high altitude or high calorific value gas, while preventing heat loss caused by excessive air supply under low temperature, low altitude or low calorific value conditions, thereby improving the overall thermal efficiency.
[0110] In some embodiments, the desired rotation speed data includes a desired frequency value; the actual rotation speed data includes an actual frequency value; as Figure 6 As shown in FIG. 6, in the process of detecting the actual rotation speed data of the air blowing device after the rotation speed adjustment, the controller is further configured to perform the following steps:
[0111] Step 602, receiving a feedback signal fed back by the air blowing device after the rotation speed adjustment;
[0112] Step 604, detecting the actual frequency value of the feedback signal.
[0113] It should be noted that there are many ways to detect the rotation speed of the air blowing device, such as photoelectric encoder, vibration detection, sound detection, etc. The photoelectric encoder has high detection accuracy, but poor environmental adaptability. When applied in gas stove, it is easily affected by factors such as oil smoke and moisture in the kitchen environment.
[0114] In some embodiments, the feedback signal is a pulse signal. A Hall effect sensor can be arranged in the motor of the air blowing device. The Hall sensor can output a fixed number of pulse signals every rotation of the motor, that is, the frequency changes with the rotation speed, so the controller can determine the current actual rotation speed of the fan by detecting the frequency of the pulse signal fed back by the Hall sensor.
[0115] The feedback signal can refer to the motor of the air blowing device or its driving circuit, which returns to the controller after receiving the control signal of the controller and executing the rotation speed adjustment. The signal is used to report the real running state of the motor of the air blowing device after the rotation speed adjustment. For example, the Hall sensor outputs a pulse signal every rotation of the fan; the controller can calculate the actual rotation speed by measuring the number of pulses per unit time.
[0116] The actual frequency value can refer to the actual running frequency of the motor of the air blowing device calculated by the controller according to the feedback signal of the air blowing device, which reflects the deviation of the motor from the target rotation speed under real working conditions due to environmental influence.
[0117] In some embodiments, the motor of the air blowing device or its driving circuit, after receiving the control signal of the controller and executing the rotation speed adjustment, can send the pulse signal of the Hall sensor as the feedback signal to the controller; the controller can receive the feedback signal and analyze the received feedback signal in real time to determine the actual frequency value of the feedback signal.
[0118] In some embodiments, as shown in Figure 7 In the process of compensating the rotation speed deviation between the actual rotation speed data and the expected rotation speed data according to the rotation speed compensation factor to obtain the target rotation speed deviation data, the controller is further configured to perform the following steps:
[0119] Step 702, detecting an initial frequency deviation value according to the actual frequency value and the expected frequency value;
[0120] Step 704, compensating the initial frequency deviation value according to the rotation speed compensation factor to obtain a target frequency deviation value, and taking the target frequency deviation value as the target rotation speed deviation data.
[0121] The expected frequency value can refer to a frequency that the feedback signal of the air blowing device needs to reach in theory in an ideal laboratory environment, for example, a standard atmospheric pressure, a standard temperature, and a specific fuel gas composition, to achieve the best combustion effect of the user-selected fire power level.
[0122] In some embodiments, after detecting the actual frequency value, the controller can calculate an initial frequency deviation value according to the actual frequency value, the expected frequency value, and a preset deviation algorithm. At this time, the determined initial frequency deviation value is determined based on the expected frequency value corresponding to the ideal working condition, without considering the difference between the actual working condition and the ideal working condition. Therefore, the initial frequency deviation value can be further compensated according to the obtained speed compensation factor to correct the frequency deviation caused by the difference between the actual working condition and the ideal working condition, and obtain a target frequency deviation value, which is used as the target speed deviation data.
[0123] In the present embodiment, by arranging the Hall effect sensor in the motor of the air blowing device and identifying the actual frequency value of the feedback signal sent by the Hall effect sensor, the environment adaptability is achieved, and the air blowing device is not easily affected by factors such as oil fume and moisture in the kitchen environment, so that reliable and accurate detection of the speed can be achieved under complex working conditions.
[0124] In some embodiments, the expected speed data includes an expected duty cycle. In the process of adjusting the speed of the air blowing device according to the expected speed data, the controller is further configured to:
[0125] generate a control signal for the air blowing device based on the expected duty cycle, and send the control signal to the air blowing device.
[0126] It should be noted that the motor of the air blowing device is a large inertia load, and its speed cannot be changed instantaneously, but responds to the average voltage. The control signal is a signal output by the controller to the motor drive circuit of the air blowing device. If the frequency of the control signal is too low, it will cause large current fluctuation, high noise, and unstable torque.
[0127] The control signal can refer to an electrical signal output by the controller for driving the air blowing device to operate.
[0128] In some embodiments, the control signal is a PWM signal. In the speed regulation process of the air blowing device, the frequency of the control signal is usually kept constant, but the duty cycle thereof is variable. The speed of the air blowing device can be regulated by adjusting the duty cycle. The greater the duty cycle, the higher the average voltage of the motor, and the faster the speed.
[0129] The expected duty cycle can refer to a target parameter of the control signal that needs to be output to achieve the expected speed corresponding to the fire regulation operation.
[0130] In some embodiments, after determining the desired duty cycle, the controller can call the PWM generator to generate a control signal with the desired duty cycle; then, the controller transmits the control signal to the motor drive circuit of the blower through the output pin to drive the blower to run at the desired speed.
[0131] like Figure 8 As shown, during the process of adjusting the speed of the blower based on the target speed deviation data, the controller is further configured to perform the following steps:
[0132] Step 802: Calculate the duty cycle increment corresponding to the target frequency deviation value using proportional-integral-derivative control.
[0133] Step 804: Update the desired duty cycle according to the duty cycle increment, and generate a new control signal for the blower based on the updated desired duty cycle;
[0134] Step 806: Send a new control signal to the blower.
[0135] Among them, the proportional-integral-differential (PID) control algorithm can be defined as a closed-loop control algorithm that calculates the control quantity based on a linear combination of three parts: the integral of the current deviation, the historical deviation, and the prediction of the future deviation.
[0136] Duty cycle increment refers to the change in the current desired duty cycle calculated by the PID control algorithm. Duty cycle increments can be positive or negative; a positive increment indicates the amount by which the duty cycle needs to be increased, while a negative increment indicates the amount by which the duty cycle needs to be decreased.
[0137] In some embodiments, during the operation of the blower, the controller continuously receives feedback signals from Hall sensors and detects the actual frequency value accordingly. Combined with the desired frequency value, an initial frequency deviation value is obtained, which is then corrected by a speed compensation factor to obtain the target frequency deviation value. This target frequency deviation value is fed into the PID control algorithm as an input. The PID control algorithm calculates the control correction amount required to eliminate the target frequency deviation value, i.e., the duty cycle increment, based on preset proportional gain, integral gain, and derivative gain parameters. The controller then uses the calculated duty cycle increment as the amplification factor to increase the currently set desired duty cycle, updating the desired duty cycle. Subsequently, the controller calls the PWM generator to regenerate a new control signal based on the updated desired duty cycle. The frequency of the new control signal remains unchanged, but the duty cycle changes. The controller then transmits this new control signal to the blower's motor drive circuit via its output pin, driving the blower to adjust its speed. As the control signal is continuously updated and sent, the actual speed gradually approaches the compensated target speed, eventually reaching a stable operating state when the target frequency deviation value approaches zero. This process is repeated in each control cycle, forming a closed-loop feedback regulation mechanism to ensure that the blower can operate stably under optimal conditions under various disturbance conditions.
[0138] In this embodiment, by employing a PWM control method with a fixed frequency and adjustable duty cycle to drive the blower, the motor armature of the blower experiences a smooth, average voltage rather than discrete pulses, thereby significantly improving the operational stability of the blower and reducing noise. Furthermore, the motor speed and PWM duty cycle exhibit a good linear relationship within the main operating range, providing the PID controller with predictable dynamic response characteristics, simplifying the tuning process of control parameters, and improving the stability and response accuracy of the system regulation.
[0139] In some embodiments, such as Figure 9 As shown, during the process of detecting the initial frequency deviation value based on the actual frequency value and the desired frequency value, the controller is further configured to perform the following steps:
[0140] Step 902: Obtain the historical frequency average for a preset historical time period;
[0141] Step 904: Aggregate the actual frequency value and the historical average frequency value to obtain the aggregated frequency value;
[0142] Step 906: The difference between the aggregation frequency value and the desired frequency value is determined as the initial frequency deviation value.
[0143] It should be noted that the actual operation of the air blowing device can be affected by various transient factors, such as slight fluctuations in power supply voltage, slight vibrations of mechanical structure, or electromagnetic interference, which can cause temporary and sharp changes in the frequency of the feedback signal. If the transient frequency value in this scenario is directly used to calculate the deviation, the control system may respond unnecessarily or even incorrectly to noise, causing the controller output command to jump dramatically, and further causing speed oscillation, thereby destroying the stability of the system and reducing the control quality.
[0144] The preset historical time period can refer to a time window for frequency data aggregation that is preset by the controller.
[0145] In some embodiments, the preset historical time period is adjacent to the current time.
[0146] The historical frequency average can refer to the arithmetic average of a plurality of actual frequency values collected by the controller within the preset historical time period, and can reflect the running trend of the air blowing device within a period of time.
[0147] In some embodiments, before detecting the initial frequency deviation value, the controller first extracts all actual frequency values within the preset historical time period from the frequency sampling queue stored in the controller, such as the actual frequency values collected within the last 500 milliseconds or the last N sampling periods. Then the controller performs arithmetic average or weighted average operation on the actual frequency values within the preset historical time period to obtain a historical frequency average that can reflect the recent running trend. Then the controller can aggregate the actual frequency value and the historical frequency value to obtain an aggregated frequency value, which retains the current measured change trend and smooths the possible transient jump, improving the data reliability. Subsequently, the controller calculates the difference between the aggregated frequency value and the expected frequency value, and determines the difference as the initial frequency deviation value. The aggregation method includes summation, averaging, weighted summation, weighted averaging, etc., which is not limited in this embodiment.
[0148] In this embodiment, by aggregating the current measured frequency value and the historical frequency average, the accidental fluctuations in the feedback signal can be effectively filtered out, and the aggregated frequency value that can better represent the true speed trend is obtained, so that the controller focuses more on correcting the continuous and true deviation trend, and avoids unnecessary fluctuations and overshoot of the speed, so that the operation of the air blowing device is more stable, thereby providing extremely stable air supply for the combustion process of the gas stove, and improving the control quality and reliability of the overall system.
[0149] In some embodiments, in the process of aggregating the actual frequency value and the historical frequency average to obtain the aggregated frequency value, the controller is further configured to:
[0150] The actual frequency value and the historical frequency average value are weighted and summed to obtain the aggregated frequency value, wherein the weight of the actual frequency value is greater than the weight of the historical frequency average value.
[0151] In some embodiments, after the controller determines the actual frequency value and the historical frequency average value, the weighted sum operation can be performed to fuse the actual frequency value and the historical frequency average value according to preset weights.
[0152] The weight of the actual frequency value is greater than the weight of the historical frequency average value. Giving the actual frequency value a greater weight can make the aggregated frequency value respond more quickly to the real change of the motor speed; and giving the historical frequency average value a smaller weight retains its advantage of suppressing noise but weakens its negative effect of causing delay.
[0153] In this embodiment, through the allocation of weights, the gas stove can effectively filter out most of the transient noise and avoid unnecessary jitter of the actuator, and can quickly follow the real change trend of the speed when a quick response is needed, for example, when the user adjusts the fire power, greatly reducing the system delay. This ensures that the air-fuel ratio of the gas stove can be quickly and smoothly adjusted under various dynamic conditions.
[0154] In some embodiments, the feedback signal is a pulse width modulation signal; and in the process of detecting the actual frequency value of the feedback signal, the controller is further configured to:
[0155] count the number of pulses of the feedback signal in a timer period through a timer module;
[0156] calculate the actual frequency value of the feedback signal according to the number of pulses and the timer period.
[0157] The timer module can refer to a hardware timing unit integrated in the controller, which can be used to generate a fixed time period, measure a time interval, or count events in cooperation with an external signal. For example, the timer module can be a 16-bit general-purpose timer, which can be configured to generate an interrupt every 100 milliseconds to synchronize the acquisition of the feedback signal.
[0158] The timer period can specify a fixed time interval set by the timer module as a time window for pulse counting. For example, if the timer period is 0.1 seconds, it means that the number of pulses is counted every 0.1 seconds.
[0159] In some embodiments, the controller can configure the internal timer module into a periodic interrupt mode, set a fixed timer period, and start pulse detection of the feedback signal at the beginning of each period; by enabling the input capture or external interrupt function, the controller can listen to the level jump of the feedback signal in real time, and count each time a jump is detected; at the end of the current timer period, stop counting and read the accumulated pulse number. Further, the controller can calculate the actual frequency value of the feedback signal according to the determined pulse data and the timer period.
[0160] As an example, the controller can trigger the external terminal at the beginning of each period, and then in the interrupt processing function, read the pulse number counted by the timer and calculate the actual frequency value of the feedback signal.
[0161] In this embodiment, the timer module realizes high-precision, high-reliability pulse counting, and has strong anti-interference ability. The actual frequency value calculated on this basis has good time resolution and stability, and can accurately reflect the real speed change of the air blowing device.
[0162] In some embodiments, an air blowing adjustment method is provided, as shown in Figure 10 The method comprises:
[0163] Step 1002, in response to the firepower adjustment operation, obtaining expected speed data corresponding to the firepower adjustment operation, and adjusting the speed of the air blowing device according to the expected speed data;
[0164] Step 1004, detecting actual speed data of the air blowing device after speed adjustment;
[0165] Step 1006, obtaining a speed compensation factor corresponding to the measured data collected after speed adjustment, and compensating the speed deviation between the actual speed data and the expected speed data according to the speed compensation factor to obtain target speed deviation data;
[0166] Step 1008, adjusting the speed of the air blowing device according to the target speed deviation data.
[0167] In some embodiments, the data acquisition module includes at least one of a temperature sensor, an air pressure sensor, and a fuel gas calorific value detection module; and the measured data includes at least one of an air temperature measured value, an ambient air pressure measured value, and a fuel gas calorific value measured value.
[0168] In some embodiments, obtaining a speed compensation factor corresponding to the measured data collected after speed adjustment comprises:
[0169] Obtaining measured data collected by the data acquisition module after speed adjustment;
[0170] The speed compensation factor is detected by a preset combustion efficiency compensation model.
[0171] In some embodiments, the speed compensation factor is positively correlated with the measured air temperature value;
[0172] The speed compensation factor is negatively correlated with the measured ambient pressure value;
[0173] The speed compensation factor is positively correlated with the measured gas calorific value.
[0174] In some embodiments, the expected speed data includes an expected frequency value; the actual speed data includes an actual frequency value; and the actual speed data of the air blowing device after speed adjustment is detected, including:
[0175] A feedback signal fed back by the air blowing device after speed adjustment is received;
[0176] An actual frequency value of the feedback signal is detected;
[0177] The speed deviation between the actual speed data and the expected speed data is compensated according to the speed compensation factor, to obtain target speed deviation data, including:
[0178] An initial frequency deviation value is detected according to the actual frequency value and the expected frequency value;
[0179] The initial frequency deviation value is compensated according to the speed compensation factor, to obtain a target frequency deviation value, which is taken as the target speed deviation data.
[0180] In some embodiments, the expected speed data includes an expected duty cycle; and the speed of the air blowing device is adjusted according to the expected speed data, including:
[0181] A control signal for the air blowing device is generated based on the expected duty cycle, and the control signal is sent to the air blowing device;
[0182] The speed of the air blowing device is adjusted according to the target speed deviation data, including:
[0183] A duty cycle increment corresponding to the target frequency deviation value is calculated through proportional-integral-derivative control;
[0184] The expected duty cycle is updated according to the duty cycle increment, and a new control signal for the air blowing device is generated based on the updated expected duty cycle;
[0185] The new control signal is sent to the air blowing device.
[0186] In some embodiments, the initial frequency deviation value is detected according to the actual frequency value and the expected frequency value, including:
[0187] A historical frequency mean value of a preset historical time period is obtained;
[0188] aggregating the actual frequency value and the historical frequency average to obtain an aggregated frequency value;
[0189] determining a difference between the aggregated frequency value and the expected frequency value as an initial frequency deviation value.
[0190] In some embodiments, aggregating the actual frequency value and the historical frequency average to obtain an aggregated frequency value comprises:
[0191] performing a weighted summation of the actual frequency value and the historical frequency average to obtain the aggregated frequency value, wherein a weight of the actual frequency value is greater than a weight of the historical frequency average.
[0192] In some embodiments, the feedback signal is a pulse width modulation signal; and detecting the actual frequency value of the feedback signal comprises:
[0193] counting, by a timer module, a number of pulses of the feedback signal within a timer period;
[0194] calculating, according to the number of pulses and the timer period, the actual frequency value of the feedback signal.
[0195] In the embodiment, by obtaining the expected speed data corresponding to the firepower adjustment operation in response to the firepower adjustment operation, the running state that the air blowing device should reach after the firepower adjustment can be determined; by adjusting the speed of the air blowing device according to the expected speed data and detecting the actual speed data of the air blowing device after the speed adjustment, the running state that the air blowing device actually reaches after the firepower adjustment can be determined; by comparing the difference between the two, the speed deviation can be quantified, which can represent the deviation between the actual air blowing amount and the theoretical required air blowing amount, and based on this, the feedback adjustment of the speed can reduce the deviation between the actual air blowing amount and the theoretical required air blowing amount. On the other hand, due to the difference between the actual working condition and the ideal working condition, the theoretical required air blowing amount for complete combustion of the gas will be affected, so by collecting the measured data as a quantitative basis for environmental disturbance, the speed compensation factor is determined and introduced into the speed deviation correction process, which can realize accurate compensation for the air blowing amount deviation caused by environmental disturbance. In this way, by identifying the speed fluctuation and the working condition difference and adapting to the speed fluctuation and the working condition difference to dynamically adjust the air blowing amount, the actual air amount and the gas amount can still be as close to the best ratio as possible under the speed fluctuation and the environmental disturbance, thereby promoting the complete combustion of the gas, minimizing the heat loss caused by incomplete combustion, and significantly improving the combustion stability and overall thermal efficiency of the gas stove under different complex working conditions.
[0196] In one exemplary embodiment, a computer device is provided, comprising a memory and a processor, the memory storing a computer program, and the processor implementing the method of the above embodiments when executing the computer program.
[0197] In an embodiment, a computer readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, implements the method of the above embodiments.
[0198] In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method of the above embodiments.
[0199] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.
[0200] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing relevant hardware. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, the processes of the above-mentioned embodiment methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., without being limited thereto.
[0201] The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as the combinations of the technical features do not exist, they should be considered as the scope of the present application.
[0202] The above embodiments only express several implementation ways of the present application, and the description is specific and detailed, but it should not be understood as a limitation to the patent scope of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.
Claims
1. A gas hob, characterized in that include: The gas supply module is configured to supply gas to the burner; A blower is configured to supply air to the burner; The burner is configured to ignite a mixture of air and fuel gas; The data acquisition module is configured to collect measured data on factors affecting combustion efficiency; The controller is configured as follows: In response to a firepower adjustment operation, the desired rotational speed data corresponding to the firepower adjustment operation is acquired, and the rotational speed of the blower is adjusted according to the desired rotational speed data. The actual rotational speed data of the blower after speed adjustment is detected; Obtain the speed compensation factor corresponding to the measured data collected after speed adjustment, and compensate for the speed deviation between the actual speed data and the expected speed data according to the speed compensation factor to obtain the target speed deviation data; Adjust the speed of the blower according to the target speed deviation data.
2. Gas hob according to claim 1, characterized in that The data acquisition module includes at least one of a temperature sensor, a pressure sensor, and a gas calorific value detection module; the measured data includes at least one of the measured air temperature, measured ambient pressure, and measured gas calorific value.
3. Gas hob according to claim 2, characterized in that In the process of acquiring the speed compensation factor corresponding to the measured data collected after speed adjustment, the controller is further configured to: The data acquisition module collects the measured data after the speed is adjusted. The speed compensation factor corresponding to the measured data is detected by using a preset combustion efficiency compensation model.
4. Gas hob according to claim 3, characterized in that The rotational speed compensation factor is positively correlated with the measured air temperature value; The rotational speed compensation factor is negatively correlated with the measured value of the ambient air pressure. The speed compensation factor is positively correlated with the measured value of the gas calorific value.
5. The gas hob according to claim 1, characterized in that The desired rotational speed data includes a desired frequency value; the actual rotational speed data includes an actual frequency value; during the process of detecting the actual rotational speed data of the blower after speed adjustment, the controller is further configured to: Receive the feedback signal from the blower after the speed is adjusted; Detect the actual frequency value of the feedback signal; In the process of compensating for the speed deviation between the actual speed data and the desired speed data according to the speed compensation factor to obtain the target speed deviation data, the controller is further configured to: The initial frequency deviation value is detected based on the actual frequency value and the expected frequency value; The initial frequency deviation value is compensated according to the speed compensation factor to obtain the target frequency deviation value, and the target frequency deviation value is used as the target speed deviation data.
6. Gas hob according to claim 5, characterized in that The desired rotational speed data includes the desired duty cycle; during the process of adjusting the rotational speed of the blower based on the desired rotational speed data, the controller is further configured to: A control signal for the blower is generated based on the desired duty cycle, and the control signal is sent to the blower. In the process of adjusting the speed of the blower based on the target speed deviation data, the controller is further configured to: The duty cycle increment corresponding to the target frequency deviation value is calculated using proportional-integral-derivative control. updating the expected duty cycle according to the duty cycle increment, generating a new control signal for the air blowing device based on the updated expected duty cycle; sending the new control signal to the air blowing device.
7. The gas hob according to claim 5, characterized in that In the process of detecting the initial frequency deviation value according to the actual frequency value and the expected frequency value, the controller is further configured to: obtain a historical frequency average of a preset historical time period; aggregate the actual frequency value and the historical frequency average to obtain an aggregated frequency value; determine a difference between the aggregated frequency value and the expected frequency value as the initial frequency deviation value.
8. Gas hob according to claim 7, characterized in that In the process of aggregating the actual frequency value and the historical frequency average to obtain an aggregated frequency value, the controller is further configured to: perform weighted summation on the actual frequency value and the historical frequency average to obtain an aggregated frequency value, wherein the weight of the actual frequency value is greater than the weight of the historical frequency average.
9. The gas hob according to claim 5, characterized in that The feedback signal is a pulse width modulation signal; in the process of detecting the actual frequency value of the feedback signal, the controller is further configured to: count the number of pulses of the feedback signal in a timer cycle through a timer module; calculate the actual frequency value of the feedback signal according to the number of pulses and the timer cycle.
10. A method of blast conditioning, characterized by The method comprises: in response to a firepower adjustment operation, obtaining expected speed data corresponding to the firepower adjustment operation, and adjusting the speed of the air blowing device according to the expected speed data; detecting actual speed data of the air blowing device after the speed adjustment; obtaining a speed compensation factor corresponding to the collected actual data after the speed adjustment, and compensating for the speed deviation between the actual speed data and the expected speed data according to the speed compensation factor to obtain target speed deviation data; adjusting the speed of the air blowing device according to the target speed deviation data.
Citation Information
Patent Citations
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