Range hood control method, device, medium, product, and smart range hood

Abstract

The application belongs to the technical field of intelligent household appliances, and particularly relates to a range hood control method, device, medium, product and intelligent range hood. The method obtains a negative pressure value in a smart kitchen, judges whether the negative pressure value is greater than a pressure threshold value, obtains an operating parameter of the intelligent range hood in the case that the negative pressure value is greater than the pressure threshold value, determines an adjustment parameter of the intelligent range hood based on the operating parameter and the negative pressure value, and controls the intelligent range hood to operate according to the adjustment parameter. The method realizes non-intrusive dynamic adjustment of the operating parameter of the range hood to balance the negative pressure state in the smart kitchen, does not need to rely on a physical air supplement device, realizes fine control of the operation of the intelligent range hood, significantly improves the accuracy of negative pressure balance, is suitable for different kitchen use scenarios, and improves the use experience of users.

Description

Technical Field

[0001] This application belongs to the field of smart home appliance technology, specifically relating to a range hood control method, device, medium, product, and smart range hood. Background Technology

[0002] With the continuous evolution of smart home technology and the ongoing improvement of people's quality of life, kitchen environmental control technology is also constantly innovating, aiming to create a healthier, more comfortable, and more efficient cooking space for users. In daily kitchen use, the range hood, as a core device, directly affects kitchen air quality and user experience.

[0003] However, if the kitchen lacks sufficient air supply when the range hood is working, it will create a negative pressure state inside the kitchen. This will not only affect the comfort of the cooking environment, but also exacerbate the backflow of odors from the sewers, causing unpleasant smells to permeate the kitchen, thereby affecting the air quality and the health of the users. Summary of the Invention

[0004] This application provides a range hood control method, device, medium, product, and intelligent range hood to solve the technical problem that the negative pressure state formed inside the existing kitchen not only affects the comfort of the cooking environment, but also aggravates the backflow of odors from the sewer, causing unpleasant smells to permeate the kitchen.

[0005] In a first aspect, this application provides a range hood control method applied to a smart kitchen system, the smart kitchen system including a smart range hood; the method includes:

[0006] Obtain the negative pressure value in the smart kitchen and determine whether the negative pressure value is greater than the pressure threshold;

[0007] When the negative pressure value is greater than the pressure threshold, the operating parameters of the smart range hood are obtained;

[0008] Based on the operating parameters and negative pressure value, the adjustment parameters of the intelligent range hood are determined, and the intelligent range hood is controlled to operate according to the adjustment parameters.

[0009] Optionally, determining the adjustment parameters of the smart range hood based on the operating parameters and the negative pressure value includes:

[0010] The system calls the mapping database in the smart kitchen system, which stores the mapping relationship between the operating parameters, the negative pressure value, and the adjustment parameters.

[0011] According to the operating parameters and the negative pressure value, the mapping database is filtered to obtain the corresponding air supply area in the smart kitchen and the flue resistance of the smart range hood;

[0012] Based on the air supply area and the flue resistance, the corresponding adjustment parameters are determined.

[0013] Optionally, obtaining the negative pressure value within the smart kitchen includes:

[0014] Obtain the real-time pressure value and preset pressure value within the smart kitchen;

[0015] The negative pressure value in the smart kitchen is determined based on the real-time pressure value and the preset pressure value.

[0016] Optionally, the method further includes:

[0017] The negative pressure duration of the smart kitchen is determined, and the negative pressure duration is used to quantify the duration for which the negative pressure value is greater than the pressure threshold.

[0018] Determine whether the duration of the negative pressure is greater than a preset duration, wherein the preset duration is used to indicate a critical value for the duration during which the negative pressure value is greater than the pressure threshold;

[0019] If the duration of negative pressure is not greater than the preset duration, a prompt message is generated to remind the user to ventilate the smart kitchen.

[0020] Optionally, the method further includes:

[0021] The system obtains multiple air supply areas for the smart kitchen and multiple duct resistances for the smart range hood.

[0022] Based on the multiple air supply areas and the multiple flue resistances, multiple operating conditions of the smart kitchen are determined;

[0023] For each of the aforementioned operating conditions, the operating parameters of the intelligent range hood under zero negative pressure are determined.

[0024] Based on the multiple operating conditions and the operating parameters of the smart range hood under zero negative pressure, the mapping database is constructed.

[0025] Optionally, the operating parameters include the operating gear; the method further includes:

[0026] If the negative pressure value is not greater than the pressure threshold, the oil fume concentration in the smart kitchen is obtained, and it is determined whether the oil fume concentration exceeds the first oil fume threshold.

[0027] If the oil fume concentration exceeds the first oil fume threshold, the operating level of the smart range hood is adjusted to the first level.

[0028] If the oil fume concentration does not exceed the first oil fume threshold, determine whether the oil fume concentration exceeds the second oil fume threshold.

[0029] If the oil fume concentration exceeds the second oil fume threshold, the operating level of the smart range hood is adjusted to the second level.

[0030] If the oil fume concentration does not exceed the second oil fume threshold, adjust the operating level of the smart range hood to the third level;

[0031] Wherein, the first oil fume threshold is higher than the second oil fume threshold, the first gear is higher than the second gear, and the second gear is higher than the third gear.

[0032] Secondly, this application provides a smoke machine control device, comprising:

[0033] The acquisition module is used to acquire the negative pressure value in the smart kitchen.

[0034] The processing module is used to determine whether the negative pressure value is greater than the pressure threshold.

[0035] The acquisition module is also used to acquire the operating parameters of the smart range hood when the negative pressure value is greater than the pressure threshold.

[0036] The determination module is used to determine the adjustment parameters of the smart range hood based on the operating parameters and the negative pressure value.

[0037] The processing module is also used to control the smart range hood to operate according to the adjustment parameters.

[0038] Optionally, the processing module is further configured to call the mapping database in the smart kitchen system, the mapping database being used to store the mapping relationship between the operating parameters, the negative pressure value and the adjustment parameters.

[0039] The processing module is also used to filter the mapping database according to the operating parameters and the negative pressure value to obtain the corresponding air supply area in the smart kitchen and the flue resistance of the smart range hood.

[0040] The determining module is also used to determine the corresponding adjustment parameters based on the make-up air area and the flue resistance.

[0041] Optionally, the acquisition module is also used to acquire the real-time pressure value and the preset pressure value in the smart kitchen.

[0042] The determining module is further configured to determine the negative pressure value in the smart kitchen based on the real-time pressure value and the preset pressure value.

[0043] Optionally, the determining module is further configured to determine the negative pressure duration of the smart kitchen, wherein the negative pressure duration is used to quantify the duration during which the negative pressure value is greater than the pressure threshold.

[0044] The processing module is further configured to determine whether the negative pressure duration is greater than a preset duration, wherein the preset duration is used to indicate a critical value for the duration during which the negative pressure value is greater than the pressure threshold.

[0045] The processing module is also used to generate a prompt message when the negative pressure duration is not greater than the preset duration, and the prompt message is used to prompt the user to perform ventilation operation on the smart kitchen.

[0046] Optionally, the acquisition module is also used to acquire multiple air supply areas of the smart kitchen and multiple flue resistances of the smart range hood.

[0047] The determining module is also used to determine multiple operating conditions of the smart kitchen based on the multiple make-up air areas and the multiple flue resistances.

[0048] The determining module is also used to determine the operating parameters of the smart range hood under zero negative pressure state for each of the multiple operating conditions.

[0049] The processing module is also used to construct the mapping database based on the multiple operating conditions and the operating parameters corresponding to the smart range hood under zero negative pressure.

[0050] Optionally, the acquisition module is further configured to acquire the concentration of cooking fumes in the smart kitchen when the negative pressure value is not greater than the pressure threshold.

[0051] The processing module is also used to determine whether the oil fume concentration exceeds the first oil fume threshold.

[0052] The processing module is further configured to adjust the operating level of the smart range hood to the first level when the oil fume concentration exceeds the first oil fume threshold.

[0053] The processing module is further configured to determine whether the oil fume concentration exceeds a second oil fume threshold if the oil fume concentration does not exceed the first oil fume threshold.

[0054] The processing module is also used to adjust the operating level of the smart range hood to the second level when the oil fume concentration exceeds the second oil fume threshold.

[0055] The processing module is also used to adjust the operating level of the smart range hood to the third level when the oil fume concentration does not exceed the second oil fume threshold.

[0056] Wherein, the first oil fume threshold is higher than the second oil fume threshold, the first gear is higher than the second gear, and the second gear is higher than the third gear.

[0057] Thirdly, this application provides an intelligent range hood, which includes a controller, an intelligent range hood body, and a pressure detection device and an oil fume detection device disposed on the intelligent range hood body;

[0058] The pressure detection device is used to detect the negative pressure value in the smart kitchen in real time;

[0059] The oil fume detection device is used to detect the concentration of oil fumes in the smart kitchen in real time;

[0060] The controller is configured to employ the range hood control method as described in the first aspect and various possible implementations thereof, to adjust the operating speed of the intelligent range hood to reduce the negative pressure value when the negative pressure value is detected to exceed a pressure threshold, and to dynamically optimize the operating speed of the intelligent range hood based on the negative pressure value detected in real time; and to adjust the operating level of the intelligent range hood based on the oil fume concentration.

[0061] Fourthly, this application provides an electronic device, comprising:

[0062] A processor, and a memory communicatively connected to the processor;

[0063] The memory stores computer-executed instructions;

[0064] The processor executes computer execution instructions stored in the memory to implement the smoke machine control method as described in the first aspect and various possible implementations of the first aspect.

[0065] Fifthly, this application provides a computer storage medium storing computer execution instructions thereon, which are executed by a processor to implement the smoke machine control method as described in the first aspect and various possible implementations of the first aspect.

[0066] Sixthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the smoke machine control method as described in the first aspect and various possible implementations of the first aspect.

[0067] The range hood control method provided in this application acquires the negative pressure value within the smart kitchen, determines whether the negative pressure value exceeds a pressure threshold, and, if the negative pressure value exceeds the pressure threshold, acquires the operating parameters of the smart range hood. Based on the operating parameters and the negative pressure value, it determines the adjustment parameters of the smart range hood and controls the smart range hood to operate according to the adjustment parameters. This method achieves non-intrusive dynamic adjustment of the range hood's operating parameters to balance the negative pressure state within the smart kitchen, without relying on physical air supply devices. It also achieves refined control of the smart range hood's operation, significantly improving the accuracy of negative pressure balance, and is applicable to different kitchen usage scenarios, thus enhancing the user experience. Attached Figure Description

[0068] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0069] Figure 1 This is a flowchart illustrating the smoke hood control method provided in this application. Figure 1 ;

[0070] Figure 2 This is a flowchart illustrating the smoke hood control method provided in this application. Figure 2 ;

[0071] Figure 3 This is a schematic diagram of the structure of the smoke machine control device provided in this application;

[0072] Figure 4 This is a schematic diagram of the structure of the electronic device provided in this application.

[0073] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0074] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0075] The terms "first," "second," "third," "fourth," etc. (if present) 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 embodiments of the invention described herein can be implemented, for example, in orders other than those illustrated or described herein.

[0076] In this application, the terms "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" or "for example" in this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0077] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of the relevant data must comply with relevant laws, regulations and standards, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0078] First, the terms used in this application will be explained.

[0079] Fuzzy control algorithm: refers to an intelligent control method based on fuzzy logic. It transforms expert experience or actual data into a fuzzy rule base in the form of "if-then" by simulating the process of human "fuzzy reasoning" (such as describing the state with non-precise language such as "temperature is too high" or "speed is too fast"), without relying on a precise mathematical model.

[0080] Neural network algorithms refer to machine learning models that simulate the structure of biological neurons. Through the hierarchical interconnection and training of a large number of simple computing units (neurons), they automatically learn the complex nonlinear relationship between input and output from data.

[0081] With the continuous evolution of smart home technology and the ongoing improvement of people's quality of life, kitchen environmental control technology is also constantly innovating, aiming to create a healthier, more comfortable, and more efficient cooking space for users. In daily kitchen use, the range hood, as a core device, directly affects kitchen air quality and user experience.

[0082] However, if the kitchen lacks sufficient airflow when the range hood is operating, it can create a negative pressure environment. This negative pressure not only affects the comfort of the cooking environment but can also trigger a series of problems. Specifically, it can exacerbate backflow odors from the sewers, causing unpleasant smells to permeate the kitchen. Furthermore, the pressure difference between the inside and outside of the kitchen can make it difficult to open the door, causing inconvenience. More seriously, negative pressure can interfere with the normal operation of the range hood, reducing its smoke extraction efficiency and preventing the effective removal of cooking fumes, thus affecting kitchen air quality and the health of the users.

[0083] To address the aforementioned issues, this application provides a range hood control method. By real-time detection of the negative pressure value in the smart kitchen and determination of whether it exceeds a pressure threshold, the method accurately identifies the operating status of the exhaust system (such as excessively high or abnormal exhaust efficiency). Then, combining the range hood's current operating parameters (such as speed setting and rotation speed), it quickly matches key environmental parameters such as the air supply area and flue resistance from a preset mapping database. Finally, it generates adjustment parameters (such as airflow and rotation speed adjustment values) adapted to the current operating conditions, achieving dynamic matching between the range hood's operation and the actual exhaust needs of the kitchen. This balances negative pressure and maintains extraction efficiency, achieving non-intrusive dynamic adjustment of range hood operating parameters (such as motor speed) to achieve kitchen negative pressure balance without relying on physical air supply devices. This method provides personalized rotation speed adjustment strategies for different user households with varying flue resistance and air supply areas, significantly improving the accuracy of negative pressure balance. It is applicable to different kitchen usage scenarios and enhances the user experience.

[0084] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0085] Figure 1 A flowchart illustrating the range hood control method provided in this application embodiment. Figure 1 The executing entity in this embodiment can be, for example, a controller installed within a smart kitchen system. Figure 1 As shown, the range hood control method provided in this embodiment includes:

[0086] S101: Obtain the negative pressure value in the smart kitchen and determine whether the negative pressure value is greater than the pressure threshold.

[0087] S102: Obtain the operating parameters of the smart range hood when the negative pressure value is greater than the pressure threshold.

[0088] Among them, the negative pressure value is used to indicate the difference between the air pressure inside the smart kitchen and the external atmospheric pressure, and the operating parameters are used to indicate various data indicators of the current operating status of the smart range hood; the pressure threshold can be, for example, 50Pa.

[0089] As is understandable, a negative pressure state refers to a physical phenomenon where the air pressure within a closed or relatively closed space is lower than the external atmospheric pressure. Under normal circumstances, atmospheric pressure is uniformly distributed and relatively stable in all directions. When a space exchanges gases with the outside world, and the rate of gas expulsion is greater than the rate of gas inflow, or when the space is sealed and the internal gases cool and contract, the number of gas molecules within the space decreases, leading to a drop in internal air pressure, which is lower than the external atmospheric pressure, thus creating a negative pressure state.

[0090] When kitchen ventilation is poor, the operation of smart range hoods and other equipment may create a negative pressure state inside the smart kitchen. The negative pressure value reflects the magnitude of the air pressure difference between the inside and outside of the smart kitchen.

[0091] In this embodiment, the smart kitchen is equipped with various smart devices, including a smart refrigerator and a smart range hood. These smart devices are equipped with various types of sensors to acquire various data and information about the smart kitchen. Specifically, the smart range hood is equipped with a pressure sensor to detect the pressure value of the ambient space in real time; a pressure sensor is also installed on the exhaust pipe of the smart range hood to detect the pressure value of the outdoor environment in real time. This application does not impose any special restrictions on the placement of the pressure sensors.

[0092] By using pressure sensors installed on the smart range hood, the current spatial pressure value inside the smart kitchen is obtained in real time. Combined with the real-time detected outdoor environmental pressure value, the pressure difference between the inside and outside of the smart kitchen is calculated to obtain the negative pressure value inside the smart kitchen, and it is determined whether the negative pressure value is greater than the pressure threshold.

[0093] Understandably, the pressure threshold is a pre-set pressure value limit. When the negative pressure value exceeds this pressure threshold, it indicates that the current smart kitchen is in a negative pressure state, which will have an adverse effect on the cooking environment, equipment operation, or user experience. It is necessary to perform supplemental air operation in the smart kitchen and adjust the operating parameters of the smart range hood accordingly to improve the negative pressure state and prevent problems such as sewer backflow, difficulty in opening doors and windows, and reduced smoke extraction efficiency of the range hood caused by excessive negative pressure.

[0094] If the negative pressure value is greater than the pressure threshold, it indicates that the smart kitchen is currently under negative pressure. At this time, the current operating parameters of the smart range hood are obtained to determine the adjustment direction of the smart range hood. If the negative pressure value is not greater than the pressure threshold, it indicates that the smart kitchen is not currently under negative pressure. At this time, the current operating state of the smart range hood is maintained.

[0095] For example, the pressure sensor on the smart range hood detects the current spatial pressure value in the smart kitchen in real time, assuming the detected pressure value is 94990 Pa (standard atmospheric pressure is approximately 101325 Pa); the pressure sensor on the exhaust pipe detects the pressure value of the outdoor environment in real time, assuming the detected pressure value is 95050 Pa; the controller in the smart kitchen system calculates the pressure difference between the inside and outside of the smart kitchen based on the collected pressure values, i.e., the negative pressure value, and this negative pressure value is 60 Pa; if the pressure threshold is 50 Pa, and 50 Pa is less than the currently calculated negative pressure value of 60 Pa, i.e., the negative pressure value is greater than the pressure threshold, it indicates that the smart kitchen is currently in a negative pressure state. At this time, the controller sends a command to the smart range hood to obtain its current operating parameters. The operating parameters obtained at this time include: "Suction level: The smart range hood is currently in medium suction mode; Motor speed: The motor speed is 1500 r / min; Exhaust volume: The exhaust volume is 12 m³ / min". 3 / min".

[0096] S103: Based on the operating parameters and negative pressure value, determine the adjustment parameters of the intelligent range hood and control the intelligent range hood to operate according to the adjustment parameters.

[0097] Among them, the adjustment parameters are used to reflect the adjustment direction of the current operating parameters of the smart range hood.

[0098] Understandably, adjusting parameters can change the specific parameters corresponding to the current operating state of a smart range hood, such as adjusting the suction level, changing the motor speed, and optimizing the exhaust volume. Optimizing the operating state of the smart range hood by adjusting parameters makes it more adaptable to the negative pressure state of the kitchen and improves the kitchen environment.

[0099] In this embodiment, the smart kitchen system has a built-in algorithm model or a preset rule base. Based on the received operating parameters and negative pressure value of the smart range hood, the system uses these algorithms or rules to analyze and calculate, and obtain the adjustment direction of the operating parameters that can alleviate or eliminate the current negative pressure state. For example, if the negative pressure value is large and the current suction power of the range hood is low, the algorithm may decide to increase the suction power level or increase the motor speed. If the negative pressure value is only slightly higher than the threshold and the range hood is already in a high operating state, the system may choose to fine-tune the exhaust volume, etc.

[0100] Based on the currently acquired operating parameters and negative pressure values, the smart kitchen system utilizes its built-in algorithm model or preset rule base to determine the adjustment parameters of the smart range hood and control the smart range hood to operate according to the adjustment parameters, thereby alleviating the negative pressure problem in the smart kitchen.

[0101] For example, if the smart kitchen system receives the operating parameters of the smart range hood as follows: "low suction power, motor speed 1000 r / min, exhaust volume 8 m³ / min"), and the current negative pressure value is 80 Pa, the system inputs the obtained operating parameters and negative pressure value into the built-in algorithm model. The algorithm model analyzes the data according to preset rules. Since the negative pressure value is much greater than the pressure threshold and the current suction power of the range hood is relatively low, in order to increase the exhaust capacity to balance the air pressure inside and outside the kitchen and to remove the fumes as quickly as possible, it decides to increase the suction power of the smart range hood to a high level and increase the motor speed to 1800 r / min. It is expected that the exhaust volume will increase to 15 m³ / min. At this time, the adjustment parameters of the smart range hood include: "suction power level: adjusted to high level, motor speed: increased to 1800 r / min". Based on these adjustment parameters, the smart kitchen system sends a control command to the smart range hood, causing the smart range hood to change its current operating parameters according to the determined adjustment parameters to achieve the expected adjustment effect and alleviate the negative pressure state in the smart kitchen.

[0102] In some embodiments, the smart kitchen system may have a built-in algorithm model, which can be a fuzzy control algorithm model or a neural network algorithm model. This application does not impose any special restrictions on the algorithm model.

[0103] The range hood control method provided in this embodiment acquires the negative pressure value within the smart kitchen and determines whether the negative pressure value exceeds a pressure threshold. If the negative pressure value exceeds the pressure threshold, the operating parameters of the smart range hood are acquired. Based on the operating parameters and the negative pressure value, the adjustment parameters of the smart range hood are determined, and the smart range hood is controlled to operate according to the adjustment parameters. This method achieves non-intrusive dynamic adjustment of the range hood's operating parameters to balance the negative pressure state within the smart kitchen, without relying on a physical air supply device. It also achieves refined control of the smart range hood's operation, significantly improving the accuracy of negative pressure balance. It is applicable to different kitchen usage scenarios and enhances the user experience.

[0104] Figure 2 A flowchart illustrating the range hood control method provided in this application embodiment. Figure 2 .like Figure 2 As shown, in this embodiment... Figure 1 Based on the embodiments, the range hood control method is described in detail. The range hood control method shown in this embodiment includes:

[0105] S201: Obtain real-time and preset pressure values ​​within the smart kitchen.

[0106] S202: Determine the negative pressure value in the smart kitchen based on the real-time pressure value and the preset pressure value, and determine whether the negative pressure value is greater than the pressure threshold.

[0107] S203: Obtain the operating parameters of the smart range hood when the negative pressure value is greater than the pressure threshold.

[0108] The preset pressure value is used to indicate the air pressure level that should be achieved inside the smart kitchen under ideal conditions. This preset pressure value is, for example, consistent with standard atmospheric pressure.

[0109] Understandably, since the air pressure in a smart kitchen changes in real time with factors such as the operation of the smart range hood and the opening and closing of doors and windows, obtaining real-time pressure values ​​can accurately reveal the actual air pressure in the smart kitchen and thus determine whether the smart kitchen is in a negative pressure state.

[0110] The preset pressure value serves as a reference value for determining whether the smart kitchen is in a negative pressure state, providing a benchmark for judging whether the kitchen gas pressure is within the normal range. The pressure threshold is a critical value used to determine whether the negative pressure level in the smart kitchen requires triggering corresponding adjustment measures; the pressure threshold is a specific value determined based on the preset pressure value, combined with the actual situation of the smart kitchen and the adjustment capabilities of the smart range hood.

[0111] When the calculated negative pressure value (the difference between the real-time pressure value and the preset pressure value) is greater than the pressure threshold, it indicates that the smart kitchen is in a negative pressure state, and the operating parameters of the smart range hood need to be adjusted to balance the air pressure inside and outside the kitchen.

[0112] In this embodiment, the preset pressure value can be input during the initial setup of the intelligent control system, or it can be dynamically adjusted and updated according to the actual usage of the kitchen and environmental changes. This application does not impose any special restrictions on the preset pressure value.

[0113] For example, pressure sensors can be installed in a smart kitchen. These sensors can be distributed in different locations within the kitchen, such as near the smart range hood or in kitchen corners, to obtain more comprehensive pressure information within the kitchen. In the actual data acquisition process, the pressure sensors can collect air pressure data in the kitchen in real time, convert it into electrical signals, and transmit the electrical signals collected by the pressure sensors to the kitchen controller via wired or wireless communication methods (such as Wi-Fi, Bluetooth, ZigBee, etc.). The controller decodes and processes the received signals to obtain the real-time pressure value.

[0114] By using a pressure sensor installed on the smart range hood, the real-time pressure value in the smart kitchen is obtained. Combined with a preset pressure value, the difference between the real-time pressure value and the preset pressure value is calculated. The obtained difference is determined as the negative pressure value in the smart kitchen, and it is determined whether the obtained negative pressure value is greater than the pressure threshold.

[0115] If the negative pressure value is greater than the pressure threshold, it indicates that the smart kitchen is currently under negative pressure. In this case, it is necessary to obtain the current operating parameters of the smart range hood in order to determine the adjustment direction of the smart range hood, thereby effectively balancing the air pressure inside and outside the kitchen and solving the negative effects of negative pressure. If the negative pressure value is not greater than the pressure threshold, it indicates that the smart kitchen is not currently under negative pressure. In this case, the current operating state of the smart range hood will continue to be maintained to provide users with a stable cooking environment.

[0116] In some embodiments, the negative pressure duration of the smart kitchen is determined; it is determined whether the negative pressure duration is greater than a preset duration; and a prompt message is generated if the negative pressure duration is not greater than the preset duration.

[0117] The preset duration is used to indicate the critical value of the duration for which the negative pressure value is greater than the pressure threshold; the negative pressure duration is used to quantify the duration for which the negative pressure value is greater than the pressure threshold; and the prompt information is used to prompt the user to perform ventilation operations on the smart kitchen.

[0118] Understandably, during the operation of a smart kitchen, when the negative pressure value calculated in real time is greater than the preset pressure threshold, the smart kitchen system starts timing until the negative pressure value is less than or equal to the pressure threshold again, at which point timing stops. The corresponding timing duration is the negative pressure duration; this negative pressure duration reflects the duration during which the kitchen is in a negative pressure state.

[0119] The preset duration is a pre-defined threshold value that indicates the upper limit of a reasonable range for the duration during which the negative pressure value exceeds the pressure threshold. This preset duration is determined comprehensively based on various factors, including the actual situation of the smart kitchen, the performance of the smart devices within the smart kitchen, and safety and usage requirements. When the negative pressure duration exceeds the preset duration, it indicates that the negative pressure state in the smart kitchen has lasted for too long, which can easily lead to adverse effects (such as negative pressure causing sewer gas to flow back into the kitchen, resulting in sewer odors; pressure difference between inside and outside causing an imbalance in pressure inside and outside the door, making it difficult to open the kitchen door; negative pressure environment may affect the normal ventilation efficiency of the range hood, reducing its smoke extraction effect).

[0120] If the negative pressure value is greater than the pressure threshold, it can be determined that the smart kitchen is in a negative pressure state. At this time, the duration of the negative pressure state of the smart kitchen is determined, and it is judged whether the duration of the negative pressure is greater than the preset duration.

[0121] When the duration of negative pressure is no greater than the preset duration, it indicates that the smart kitchen is still in a negative pressure state. Since the duration of negative pressure is short, the adverse effects in the smart kitchen are currently small. At this time, a prompt message can be generated first to remind the user to take ventilation measures in time to improve the air quality of the smart kitchen and balance the air pressure inside and outside the smart kitchen.

[0122] Understandably, reminding users can prevent negative pressure from developing and causing more serious problems. For example, timely ventilation can prevent cooking fumes from accumulating in the kitchen, reduce odors and bacterial growth, and protect users' health and cooking experience.

[0123] When the negative pressure duration exceeds the preset duration, it indicates that the smart kitchen has been in a negative pressure state for too long, resulting in significant adverse effects. At this point, a warning message has been sent to the user, but the negative pressure problem in the smart kitchen has not been improved. In this case, it is necessary to determine the adjustment parameters of the smart range hood based on the currently acquired operating parameters and negative pressure value, using the algorithm model built into the smart kitchen system or the preset rule base, and control the smart range hood to operate according to the adjustment parameters to alleviate the negative pressure problem in the smart kitchen.

[0124] For example, if the preset duration is 20 minutes, and the currently acquired negative pressure duration is 15 minutes, meaning the negative pressure duration is no greater than the preset duration, it indicates that the smart kitchen is in a negative pressure state, but the duration is short and the current adverse effects are minimal. At this time, the control generates a prompt message and pushes a message to the user via the mobile application, stating "The kitchen is currently in a slight negative pressure state; it is recommended to open the windows for ventilation," reminding the user to take timely ventilation measures to improve kitchen air quality and balance the internal and external air pressure. If the currently acquired negative pressure duration is 25 minutes, meaning the negative pressure duration is greater than the preset duration, it indicates that the smart kitchen has been in a negative pressure state for an extended period. If the negative pressure persists for too long and the adverse effects become significant, the smart kitchen system first checks whether a notification has been sent to the user. If a notification has been sent but the negative pressure problem persists, the system uses the currently acquired smart range hood operating parameters (such as current speed and exhaust volume) and real-time negative pressure value to perform calculations and analyses using a built-in algorithm model or a preset rule base. For example, the algorithm model may determine, based on the magnitude of the negative pressure value and the range hood operating parameters, that the range hood speed needs to be increased by 20% as an adjustment parameter. The system then controls the smart range hood to operate according to this adjustment parameter, increasing the exhaust volume of the range hood, thereby alleviating the negative pressure problem in the kitchen.

[0125] S204: Call the mapping database in the smart kitchen system.

[0126] S205: Based on the operating parameters and negative pressure values, the mapping database is filtered to determine the corresponding air supply area and flue resistance of the smart range hood in the smart kitchen.

[0127] S206: Determine the corresponding adjustment parameters based on the air supply area and flue resistance, and control the intelligent range hood to operate according to the adjustment parameters.

[0128] Among them, the mapping database is used to store the mapping relationship between operating parameters, negative pressure values ​​and adjustment parameters; the air supply area is used to indicate the area of ​​air that the smart kitchen needs to supply under different negative pressure values; and the flue resistance is used to indicate the magnitude of the obstruction of airflow by the flue during the exhaust process of the smart range hood.

[0129] In this embodiment, the mapping database stores the mapping relationship between different operating parameters and negative pressure values ​​and data such as air supply area and intelligent flue resistance. This mapping relationship is derived through a large number of experiments, data collection and analysis, and is used to guide the system on how to adjust equipment parameters for different negative pressure values.

[0130] The make-up air area is the area that needs to be supplied with air to balance the air pressure inside and outside the kitchen. The make-up air area determines the amount of air that can enter the smart kitchen per unit time. When the smart kitchen is in a negative pressure state, an appropriate amount of outside air needs to be introduced to balance the internal and external air pressure. If the make-up air area is too small, even if the smart range hood is running at certain parameters, the air entering the kitchen is insufficient to compensate for the amount of air discharged by the range hood, and the negative pressure state will continue or even worsen. At this time, it is necessary to increase the adjustment parameters of the smart range hood (such as increasing the speed and increasing the exhaust volume) to try to improve the situation. However, increasing the adjustment parameters of the smart range hood may lead to increased energy consumption and poor results. Conversely, if the make-up air area is too large, it may cause excessive positive pressure in the kitchen, leading to problems such as backflow of fumes. In this case, it is necessary to reduce the adjustment parameters of the range hood to maintain a proper airflow balance.

[0131] The greater the resistance in the flue, the more difficult it is for the smart range hood to exhaust air, resulting in a smaller actual exhaust volume at the same rotation speed. In other words, the resistance in the flue affects the exhaust efficiency of the range hood, which in turn affects the negative pressure in the kitchen. To achieve the ideal exhaust effect and improve the negative pressure, it is necessary to increase the adjustment parameters of the range hood, such as increasing the rotation speed or air pressure, to overcome the greater resistance in the flue. Conversely, if the resistance in the flue is small, the range hood can achieve a good exhaust effect with lower adjustment parameters. In this case, the adjustment parameters can be appropriately reduced to save energy.

[0132] Therefore, in determining the adjustment parameters of a smart range hood, it is necessary to comprehensively consider the air supply area of ​​the current smart kitchen and the duct resistance of the smart range hood. After determining the air supply area and duct resistance, the adjustment parameters of the smart range hood can be determined more accurately, so that the operation of the range hood matches the actual air flow needs of the kitchen, thereby avoiding over-operation or under-operation of the range hood and improving the overall energy efficiency of the smart kitchen system.

[0133] The system calls upon the mapping database in the smart kitchen system and filters it according to the operating parameters and negative pressure value to determine the air supply area and flue resistance of the smart range hood in the smart kitchen corresponding to the operating parameters and negative pressure value. Based on the corresponding air supply area and flue resistance, the system filters the mapping database again to determine the adjustment parameters corresponding to the air supply area and flue resistance, and controls the smart range hood to operate according to the adjustment parameters.

[0134] In some embodiments, multiple air supply areas of the smart kitchen and multiple duct resistances of the smart range hood are obtained; multiple operating conditions of the smart kitchen are determined based on the multiple air supply areas and multiple duct resistances; for each of the multiple operating conditions, the operating parameters of the smart range hood under zero negative pressure are determined; and a mapping database is constructed based on the multiple operating conditions and the corresponding operating parameters of the smart range hood under zero negative pressure.

[0135] Among them, the operating conditions are used to reflect the physical environment under different operating parameters.

[0136] Understandably, the operating conditions are determined by the make-up air area and the flue resistance, reflecting the actual physical environment of the smart kitchen under different operating parameters. For example, operating condition A includes: a make-up air area of ​​0.15 m² and a flue resistance of 250 Pa•s / m. 3 Operating condition B includes: a makeup air area of ​​0.2 m² and a resistance of 300 Pa•s / m². 3 ).

[0137] In this embodiment, by analyzing a large amount of historical data, the air supply area and flue resistance of different smart kitchens during actual use are selected. For any combination of multiple air supply areas and multiple flue resistances, that is, for multiple operating conditions, the actual operating parameters of the smart range hood are adjusted under different negative pressure values ​​so that the corresponding negative pressure value changes to zero negative pressure value, that is, the corresponding negative pressure state changes to zero negative pressure state, thereby establishing a mapping relationship between different operating parameters, negative pressure values, flue resistance and air supply area.

[0138] For example, if the smart kitchen system receives the operating parameters of the smart range hood as follows: "low suction power, motor speed 1000 r / min, exhaust volume 8 m³ / min"), and the current negative pressure value is 80 Pa, the system filters the mapping database according to the obtained operating parameters and negative pressure value. The corresponding mapping relationships include: "makeup air area is 0.12 m², flue resistance is 180 Pa•s / m²". 3At this point, the adjustment parameter corresponding to adjusting the negative pressure value from 80Pa to zero negative pressure value is: "adjusting the rotation speed value to 800r / min". Based on this adjustment parameter, the smart kitchen system sends a control command to the smart range hood, so that the smart range hood changes its current operating parameters according to the determined adjustment parameter to achieve the expected adjustment effect and alleviate the negative pressure state in the smart kitchen.

[0139] In some embodiments, the operating parameters include the operating level; when the negative pressure value is not greater than the pressure threshold, the oil fume concentration in the smart kitchen is obtained, and it is determined whether the oil fume concentration exceeds a first oil fume threshold; when the oil fume concentration exceeds the first oil fume threshold, the operating level of the smart range hood is adjusted to the first level; when the oil fume concentration does not exceed the first oil fume threshold, it is determined whether the oil fume concentration exceeds a second oil fume threshold; when the oil fume concentration exceeds the second oil fume threshold, the operating level of the smart range hood is adjusted to the second level; when the oil fume concentration does not exceed the second oil fume threshold, the operating level of the smart range hood is adjusted to the third level.

[0140] Among them, the first oil fume threshold is higher than the second oil fume threshold, the first level is higher than the second level, and the second level is higher than the third level; the first oil fume threshold can be, for example, 5.0 mg / m³, and the second oil fume threshold can be, for example, 3.0 mg / m³.

[0141] For example, the first setting can be high, the second setting can be medium, and the third setting can be low. If the current negative pressure is 35Pa and the current operating setting of the smart range hood is medium, the smart kitchen is not in a negative pressure state when the current negative pressure is less than the pressure threshold. At this time, the oil fume concentration obtained by the current oil fume sensor is 4.2mg / m³, which can be determined to be less than the first oil fume threshold and greater than the second oil fume threshold. In this case, the smart range hood is controlled to continue operating at medium. If the current oil fume concentration is 2.5mg / m³, which can be determined to be less than the second oil fume threshold, the operating setting of the smart range hood is adjusted from medium to low, and the smart range hood is controlled to continue operating at low.

[0142] In other embodiments, after the smart range hood starts running, it defaults to the second speed setting and monitors the concentration of cooking fumes in real time, thereby adjusting the operating speed of the smart range hood according to the concentration of cooking fumes.

[0143] The range hood control method provided in this embodiment acquires real-time and preset pressure values ​​within the smart kitchen, determines the negative pressure value based on these values, and checks if the negative pressure value exceeds a pressure threshold. If the negative pressure value exceeds the threshold, the operating parameters of the smart range hood are acquired, and a mapping database within the smart kitchen system is accessed. The mapping database is then filtered according to the operating parameters and negative pressure value to determine the corresponding air supply area and flue resistance of the smart range hood within the smart kitchen. Based on the air supply area and flue resistance, corresponding adjustment parameters are determined, and the smart range hood is controlled to operate according to these parameters. This method achieves non-intrusive dynamic adjustment of the range hood's operating parameters to balance the negative pressure state within the smart kitchen, without relying on physical air supply devices. It provides personalized speed adjustment strategies for different user households' flue resistance and air supply area, and also achieves refined control of the smart range hood's operation, significantly improving the accuracy of negative pressure balance. It is applicable to different kitchen usage scenarios and enhances the user experience.

[0144] Figure 3 This is a schematic diagram of the structure of the smoke machine control device provided in this application. Figure 3 As shown, this application provides a range hood control device, the range hood control device 300 including:

[0145] The acquisition module 301 is used to acquire the negative pressure value in the smart kitchen.

[0146] The processing module 302 is used to determine whether the negative pressure value is greater than the pressure threshold.

[0147] The acquisition module 301 is also used to acquire the operating parameters of the smart range hood when the negative pressure value is greater than the pressure threshold.

[0148] The determination module 303 is used to determine the adjustment parameters of the intelligent range hood based on the operating parameters and the negative pressure value.

[0149] The processing module 302 is also used to control the smart range hood to operate according to the adjustment parameters.

[0150] Optionally, the processing module 302 is also used to call the mapping database in the smart kitchen system. The mapping database is used to store the mapping relationship between operating parameters, negative pressure values ​​and adjustment parameters.

[0151] The processing module 302 is also used to filter the mapping database according to the operating parameters and negative pressure value to obtain the corresponding air supply area in the smart kitchen and the flue resistance of the smart range hood.

[0152] The determination module 303 is also used to determine the corresponding adjustment parameters based on the make-up air area and flue resistance.

[0153] Optionally, the acquisition module 301 is also used to acquire real-time pressure values ​​and preset pressure values ​​in the smart kitchen.

[0154] The determination module 303 is also used to determine the negative pressure value in the smart kitchen based on the real-time pressure value and the preset pressure value.

[0155] Optionally, the determining module 303 is also used to determine the negative pressure duration of the smart kitchen, which is used to quantify the duration for which the negative pressure value is greater than the pressure threshold.

[0156] The processing module 302 is also used to determine whether the negative pressure duration is greater than the preset duration, where the preset duration is used to indicate the critical value of the duration for which the negative pressure value is greater than the pressure threshold.

[0157] The processing module 302 is also used to generate a prompt message when the negative pressure duration is not greater than a preset duration. The prompt message is used to remind the user to perform ventilation operation on the smart kitchen.

[0158] Optionally, the acquisition module 301 is also used to acquire multiple make-up air areas of the smart kitchen and multiple flue resistances of the smart range hood.

[0159] The determination module 303 is also used to determine multiple operating conditions of the smart kitchen based on multiple make-up air areas and multiple flue resistances.

[0160] The determination module 303 is also used to determine the operating parameters of the smart range hood under zero negative pressure conditions for multiple operating conditions.

[0161] The processing module 302 is also used to build a mapping database based on multiple operating conditions and the corresponding operating parameters of the smart range hood under zero negative pressure.

[0162] Optionally, the acquisition module 301 is also used to acquire the concentration of oil fumes in the smart kitchen when the negative pressure value is not greater than the pressure threshold.

[0163] The processing module 302 is also used to determine whether the oil fume concentration exceeds the first oil fume threshold.

[0164] The processing module 302 is also used to adjust the operating level of the smart range hood to the first level when the oil fume concentration exceeds the first oil fume threshold.

[0165] The processing module 302 is also used to determine whether the oil fume concentration exceeds the second oil fume threshold when the oil fume concentration does not exceed the first oil fume threshold.

[0166] The processing module 302 is also used to adjust the operating level of the smart range hood to the second level when the oil fume concentration exceeds the second oil fume threshold.

[0167] The processing module 302 is also used to adjust the operating level of the smart range hood to the third level when the oil fume concentration does not exceed the second oil fume threshold.

[0168] Among them, the first oil fume threshold is higher than the second oil fume threshold, the first level is higher than the second level, and the second level is higher than the third level.

[0169] Figure 4 A schematic diagram of the structure of the electronic device provided in this application. Figure 4 As shown, this application provides an electronic device 400, which includes a receiver 401, a transmitter 402, a processor 403, and a memory 404.

[0170] Receiver 401 is used to receive instructions and data;

[0171] Transmitter 402 is used to send commands and data;

[0172] Memory 404 is used to store instructions executed by the computer;

[0173] The processor 403 is used to execute computer execution instructions stored in the memory 404 to implement the various steps of the smoke hood control method in the above embodiments. For details, please refer to the relevant descriptions in the foregoing embodiments of the smoke hood control method.

[0174] Optionally, the memory 404 can be either standalone or integrated with the processor 403.

[0175] When the memory 404 is set up independently, the electronic device also includes a bus for connecting the memory 404 and the processor 403.

[0176] This application provides a smart range hood, which includes a controller, a smart range hood body, and a pressure detection device and an oil fume detection device installed on the smart range hood body;

[0177] Pressure detection device for real-time monitoring of negative pressure values ​​in the smart kitchen;

[0178] Oil fume detection device, used to detect the concentration of oil fumes in a smart kitchen in real time;

[0179] The controller is used to adjust the operating speed of the smart range hood to reduce the negative pressure value when the negative pressure value exceeds the pressure threshold, and dynamically optimize the operating speed of the smart range hood based on the real-time detected negative pressure value; and adjust the operating level of the smart range hood based on the oil fume concentration.

[0180] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the smoke machine control method performed by the aforementioned electronic device.

[0181] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the smoke machine control method of any of the foregoing embodiments.

[0182] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0183] The technical solutions of this application have been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it is readily understood by those skilled in the art that the scope of protection of this application is obviously not limited to these specific embodiments. The above embodiments are only used to illustrate the technical solutions of this application and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A method for controlling a smoke hood, characterized in that, The method is applied to a smart kitchen system, which includes a smart range hood; the method includes: Obtain the negative pressure value in the smart kitchen and determine whether the negative pressure value is greater than the pressure threshold; When the negative pressure value is greater than the pressure threshold, the operating parameters of the smart range hood are obtained; Based on the operating parameters and negative pressure value, the adjustment parameters of the intelligent range hood are determined, and the intelligent range hood is controlled to operate according to the adjustment parameters; the determination of the adjustment parameters of the intelligent range hood based on the operating parameters and negative pressure value includes: The system calls the mapping database in the smart kitchen system, which stores the mapping relationship between the operating parameters, the negative pressure value, and the adjustment parameters. According to the operating parameters and the negative pressure value, the mapping database is filtered to obtain the corresponding air supply area in the smart kitchen and the flue resistance of the smart range hood; Based on the air supply area and the flue resistance, determine the corresponding adjustment parameters; The system obtains multiple air supply areas for the smart kitchen and multiple duct resistances for the smart range hood. Based on the multiple air supply areas and the multiple flue resistances, multiple operating conditions of the smart kitchen are determined; For each of the aforementioned operating conditions, the operating parameters of the intelligent range hood under zero negative pressure are determined. Based on the multiple operating conditions and the operating parameters of the smart range hood under zero negative pressure, the mapping database is constructed.

2. The method according to claim 1, characterized in that, The acquisition of negative pressure values ​​within the smart kitchen includes: Obtain the real-time pressure value and preset pressure value within the smart kitchen; The negative pressure value in the smart kitchen is determined based on the real-time pressure value and the preset pressure value.

3. The method according to claim 1, characterized in that, The method further includes: The negative pressure duration of the smart kitchen is determined, and the negative pressure duration is used to quantify the duration for which the negative pressure value is greater than the pressure threshold. Determine whether the duration of the negative pressure is greater than a preset duration, wherein the preset duration is used to indicate a critical value for the duration during which the negative pressure value is greater than the pressure threshold; If the duration of negative pressure is not greater than the preset duration, a prompt message is generated to remind the user to ventilate the smart kitchen.

4. The method according to claim 1, characterized in that, The operating parameters include the operating gear; the method further includes: If the negative pressure value is not greater than the pressure threshold, the oil fume concentration in the smart kitchen is obtained, and it is determined whether the oil fume concentration exceeds the first oil fume threshold. If the oil fume concentration exceeds the first oil fume threshold, the operating level of the smart range hood is adjusted to the first level. If the oil fume concentration does not exceed the first oil fume threshold, determine whether the oil fume concentration exceeds the second oil fume threshold. If the oil fume concentration exceeds the second oil fume threshold, the operating level of the smart range hood is adjusted to the second level. If the oil fume concentration does not exceed the second oil fume threshold, adjust the operating level of the smart range hood to the third level; Wherein, the first oil fume threshold is higher than the second oil fume threshold, the first gear is higher than the second gear, and the second gear is higher than the third gear.

5. A smart range hood, characterized in that, The intelligent range hood includes a controller, an intelligent range hood body, and a pressure detection device and an oil fume detection device installed on the intelligent range hood body; The pressure detection device is used to detect the negative pressure value in the smart kitchen in real time; The oil fume detection device is used to detect the concentration of oil fumes in the smart kitchen in real time; The controller is configured to employ the range hood control method as described in any one of claims 1-4, to adjust the operating speed of the intelligent range hood to reduce the negative pressure value when the negative pressure value is detected to exceed a pressure threshold, and to dynamically optimize the operating speed of the intelligent range hood based on the negative pressure value detected in real time; and to adjust the operating level of the intelligent range hood based on the oil fume concentration.

6. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-4.

8. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1-4.

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