Range hood control method and device, electronic equipment and storage medium

Abstract

The invention provides a range hood control method and device, electronic equipment and a storage medium, and the method comprises the following steps: in response to starting operation for a range hood, starting a molecular sieve in the range hood, and obtaining current working parameters of the molecular sieve; monitoring an air quality index of the cooking area in real time, and generating an air quality monitoring result; generating a target working parameter corresponding to the molecular sieve based on the air quality monitoring result and the current working parameter of the molecular sieve; adjusting the working mode and the discharge proportion of the molecular sieve based on the target working parameters; and controlling the adjusted molecular sieve to adsorb the oil fume in the cooking area according to the working mode and the emission proportion. By monitoring the air quality index in real time, the range hood can intelligently adjust the working parameters of the molecular sieve according to the monitoring result so as to ensure the indoor air quality, volatile organic compounds are adsorbed through the molecular sieve, part or all of the volatile organic compounds are discharged indoors, the burden of a public flue is reduced while the smoke discharging efficiency is ensured, and the energy consumption is reduced. And static pressure in the flue is effectively reduced.

Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, and in particular to a range hood control method, device, electronic device and storage medium. Background Art

[0002] With the acceleration of urbanization, high-rise residential buildings are increasing day by day. As an indispensable part of high-rise residential buildings, the design and operation efficiency of the public flue system directly affect the quality of life of residents. In the existing public flue system, since multiple households share the same flue, the concentrated use of range hoods during peak cooking hours often leads to a sharp increase in the pressure in the flue, forming a high static pressure state. This high static pressure not only affects the exhaust efficiency of the range hood, but also may cause oil fume backflow, pollute the indoor environment, and even pose a potential threat to the health of residents.

[0003] In addition, traditional range hoods often directly discharge oil smoke to the outside during the exhaust process. Although this method is simple, it does not effectively treat harmful components in oil smoke. In particular, volatile organic compounds (VOC) and oil smoke particles have adverse effects on air quality and human health. Therefore, how to reduce the impact on indoor and outdoor environments while ensuring exhaust efficiency has become a problem that needs to be solved by current technology.

[0004] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the invention

[0005] In response to the above-mentioned technical problems, the present application provides a range hood control method, device, electronic device and storage medium to solve the defects of the prior art caused by directly discharging oil smoke to the outdoors, such as high flue pressure, low exhaust efficiency and air pollution, while ensuring the exhaust efficiency and reducing the burden on the public flue, effectively reducing the static pressure in the flue.

[0006] In order to solve the above technical problems, the present application provides a range hood control method, comprising the following steps:

[0007] In response to a start-up operation on the range hood, a molecular sieve in the range hood is started, and current operating parameters of the molecular sieve are obtained;

[0008] Monitor the air quality indicators in the cooking area in real time and generate air quality monitoring results;

[0009] Based on the air quality monitoring result and the current operating parameters of the molecular sieve, generating target operating parameters corresponding to the molecular sieve;

[0010] Adjusting the working mode and emission ratio of the molecular sieve based on the target working parameters;

[0011] The controlled and adjusted molecular sieve adsorbs the oil smoke in the cooking area according to the working mode and the emission ratio.

[0012] Furthermore, in some embodiments of the present application, the range hood further comprises a return duct, the return duct comprises a coarse filter layer, a fine filter layer and the molecular sieve placed in sequence, and after the molecular sieve after the control adjustment absorbs the oil smoke in the cooking area according to the working mode and the emission ratio, it further comprises:

[0013] Detecting the exhaust gas of the range hood to obtain an emission detection result;

[0014] Based on the emission detection result, the return duct is controlled to perform secondary filtration on the exhaust gas of the range hood.

[0015] Further, in some embodiments of the present application, based on the emission detection result, controlling the return pipe to perform secondary filtering on the exhaust gas of the range hood includes:

[0016] If it is detected based on the emission detection result that the concentration of volatile organic matter and the concentration of oil fume particles in the exhaust gas of the range hood do not exceed the corresponding preset values, the reflux pipe is controlled to perform secondary filtration on a preset proportion of the exhaust gas;

[0017] If it is detected based on the emission detection result that the concentration of the volatile organic compounds and the concentration of the oil fume particles in the cooking area exceed corresponding preset values, the molecular sieve is controlled to adsorb the exhaust gas before discharging it.

[0018] Furthermore, in some embodiments of the present application, the real-time monitoring of the air quality index of the cooking area and generating the air quality monitoring result includes:

[0019] The oil ion concentration in the cooking area is monitored in real time by an oil ion sensor integrated in the range hood;

[0020] Calculating the concentration of volatile organic matter and the concentration of oil smoke particles based on the oil ion concentration;

[0021] An air quality monitoring result is generated based on the oil ion concentration, the volatile organic compound concentration and the oil smoke particle concentration.

[0022] Furthermore, in some embodiments of the present application, the real-time monitoring of the oil ion concentration in the cooking area by an oil ion sensor integrated in the range hood includes:

[0023] Acquiring an oil ion image of the cooking area by using the oil ion sensor;

[0024] Preprocessing the oil ion concentration to obtain a preprocessed oil ion image;

[0025] An image recognition algorithm is used to perform oil ion feature recognition on the pre-processed oil ion image to obtain the oil ion concentration.

[0026] Further, in some embodiments of the present application, the calculation of the volatile organic compound concentration and the oil fume particle concentration based on the oil ion concentration includes:

[0027] Calculating the volatile organic compound concentration corresponding to the cooking area based on the oil ion concentration;

[0028] A calibration is performed based on the oil ion concentration and the volatile organic compound concentration to obtain a corresponding oil fume particle concentration in the cooking area.

[0029] Furthermore, in some embodiments of the present application, it also includes:

[0030] Real-time monitoring of the inlet and outlet gas flow and the inlet and outlet gas pressure of the smoke exhaust fan;

[0031] Based on the inlet and outlet gas flow rates and the inlet and outlet gas pressures, the power and air volume of the fan in the range hood are adjusted.

[0032] Accordingly, the present application also provides a range hood control device, comprising:

[0033] An acquisition module, used for starting the molecular sieve in the range hood in response to a start-up operation on the range hood, and obtaining current working parameters of the molecular sieve;

[0034] A monitoring module is used to monitor the air quality indicators of the cooking area in real time and generate air quality monitoring results;

[0035] A parameter module, used for generating target operating parameters corresponding to the molecular sieve based on the air quality monitoring result and the current operating parameters of the molecular sieve;

[0036] An adjustment module, used for adjusting the working mode and emission ratio of the molecular sieve based on the target working parameters;

[0037] The control module is used to control the adjusted molecular sieve to adsorb the oil smoke in the cooking area according to the working mode and the emission ratio.

[0038] The present application also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the range hood control method as described above when executing the program.

[0039] The present application also provides a storage medium storing a computer program that can be loaded by a processor and execute the range hood control method as described above.

[0040] Implementing the embodiments of the present application has the following beneficial effects:

[0041] As described above, the present application provides a range hood control method, device, electronic device and storage medium, the range hood control method comprising: in response to a start-up operation for the range hood, starting the molecular sieve in the range hood and obtaining the current working parameters of the molecular sieve; real-time monitoring of the air quality index of the cooking area and generating air quality monitoring results; based on the air quality monitoring results and the current working parameters of the molecular sieve, generating the target working parameters corresponding to the molecular sieve; adjusting the working mode and emission ratio of the molecular sieve based on the target working parameters; controlling the adjusted molecular sieve to adsorb the oil smoke in the cooking area according to the working mode and emission ratio. The range hood control scheme proposed in the present application monitors the air quality index in real time, so that the range hood can intelligently adjust the working parameters of the molecular sieve according to the monitoring results to ensure the indoor air quality, and adsorb volatile organic compounds through the molecular sieve and realize partial or full emission into the room, thereby ensuring the exhaust efficiency while reducing the burden on the public flue and effectively reducing the static pressure in the flue. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor.

[0043] Figure 1 It is a schematic diagram of an application scenario of the range hood control method provided in an embodiment of the present application;

[0044] Figure 2 It is a flow chart of the range hood control method provided in the embodiment of the present application;

[0045] Figure 3 is a schematic diagram of the structure of a range hood control device provided in an embodiment of the present application;

[0046] Figure 4 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0047] The realization of the purpose, functional features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. The above-mentioned drawings have shown clear embodiments of this application, which will be described in more detail later. These drawings and textual descriptions are not intended to limit the scope of the concept of this application in any way, but to illustrate the concept of this application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0048] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0049] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0050] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0051] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0052] The present application provides a range hood control method, device, electronic device and storage medium.

[0053] The range hood control device can be integrated into an electronic device, which can be a smart phone, tablet computer, laptop computer or desktop computer, but is not limited thereto. The electronic device can be directly or indirectly connected to the server through wired or wireless communication. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. This application does not limit this.

[0054] See also Figure 1 The range hood control device is integrated on the electronic device 30, and the user 40 can interact with the electronic device 30 by touching the display screen of the electronic device 30. In the process of kitchen fume exhaust, the electronic device 30 and the range hood 10 can interact through the network 20. In response to the start-up operation of the range hood 10, the electronic device 30 starts the molecular sieve in the range hood 10 and obtains the current working parameters of the molecular sieve; monitors the air quality index of the cooking area in real time and generates air quality monitoring results; generates target working parameters corresponding to the molecular sieve based on the air quality monitoring results and the current working parameters of the molecular sieve; adjusts the working mode and emission ratio of the molecular sieve based on the target working parameters; controls the adjusted molecular sieve to adsorb the fume in the cooking area according to the working mode and emission ratio.

[0055] In response to the above-mentioned technical problems, the embodiments of the present application provide a range hood control method, device, electronic device and storage medium, which monitor air quality indicators in real time, so that the range hood can intelligently adjust the working parameters of the molecular sieve according to the monitoring results to ensure indoor air quality, and adsorb volatile organic compounds through the molecular sieve and discharge them partially or completely into the room, thereby ensuring the smoke exhaust efficiency while reducing the burden on the public flue and effectively reducing the static pressure in the flue.

[0056] It should be noted that the order of description of the following embodiments is not intended to limit the priority order of the embodiments.

[0057] The present application provides a range hood control method, comprising: in response to a start-up operation for the range hood, starting a molecular sieve in the range hood and acquiring current working parameters of the molecular sieve; monitoring air quality indicators in a cooking area in real time and generating air quality monitoring results; generating target working parameters corresponding to the molecular sieve based on the air quality monitoring results and the current working parameters of the molecular sieve; adjusting a working mode and an emission ratio of the molecular sieve based on the target working parameters; and controlling the adjusted molecular sieve to adsorb oil smoke in the cooking area according to the working mode and the emission ratio.

[0058] See also Figure 2 , Figure 2 : is a flow chart of the range hood control method provided in the embodiment of the present application. The range hood control method provided in the embodiment may specifically include the following steps:

[0059] S1. In response to the startup operation for the range hood, the molecular sieve in the range hood is started, and the current operating parameters of the molecular sieve are obtained;

[0060] Specifically, for step S1, when the range hood is started, the molecular sieve automatically starts and begins to adsorb harmful substances in the fume. At the same time, it is necessary to monitor and record the working parameters of the molecular sieve in real time, such as adsorption efficiency, temperature, pressure, etc. The molecular sieve is the core component of the range hood system and can adsorb and release specific gas molecules, such as VOCs and fume particles.

[0061] S2. Real-time monitoring of air quality indicators in the cooking area and generation of air quality monitoring results;

[0062] Specifically, for step S2, integrated air quality sensors are used to monitor the air quality indicators of the cooking area, including VOC concentration, oil fume particle concentration and other related parameters. These sensors can be deployed inside or outside the range hood to ensure the accuracy and comprehensiveness of the monitoring data. The monitored data will be summarized and a real-time air quality report will be generated, which will help subsequent intelligent control decisions.

[0063] S3. Generate target operating parameters corresponding to the molecular sieve based on the air quality monitoring results and the current operating parameters of the molecular sieve;

[0064] Specifically, for step S3, based on the current air quality monitoring results and the initial working parameters of the molecular sieve, the optimal target working parameters will be calculated, and the target working parameters will guide the molecular sieve to work more efficiently to adapt to the current environmental conditions. For example, according to the indoor air quality standard, the target VOC concentration and the oil fume particle concentration are set, and an optimization algorithm, such as linear programming, dynamic programming or machine learning algorithm, is used to comprehensively consider the adsorption capacity and desorption characteristics of the molecular sieve, the desired indoor air quality target, and the service life and maintenance cycle of the molecular sieve. The target working parameters of the molecular sieve are determined. According to the results of the optimization algorithm, the target working parameters of the molecular sieve are generated, including but not limited to the adsorption cycle and desorption cycle, the temperature and pressure setting of the adsorbent, and the adjustment of the air volume and air pressure to optimize the flow and distribution of the flue gas.

[0065] S4. Adjusting the working mode and emission ratio of the molecular sieve based on the target working parameters;

[0066] Specifically, for step S4, the working mode of the molecular sieve is adjusted according to the target working parameters, including adsorption cycle, desorption cycle and adsorption intensity, etc. At the same time, by adjusting the emission ratio of the molecular sieve, it is determined how much flue gas is directly discharged to the outside and how much flue gas is refluxed for secondary filtration.

[0067] S5. Control the adjusted molecular sieve to adsorb the oil smoke in the cooking area according to the working mode and emission ratio;

[0068] Specifically, for step S5, the adjusted molecular sieve will adsorb the oil smoke in the cooking area according to the new working mode and emission ratio.

[0069] In a specific embodiment, the operating parameters can be automatically adjusted according to the user's cooking habits and environmental changes to achieve optimal performance. The user may make personalized settings through an interface, such as adjusting the working mode or emission ratio of the molecular sieve to meet specific needs. The user can remotely monitor the working status of the range hood through a mobile device and remotely control it. In addition, the fault self-diagnosis function of the range hood can also remind the user when the molecular sieve needs to be maintained or replaced. And provide an energy recovery mechanism, such as using the energy released during the desorption process of the molecular sieve to preheat the air or flue gas to improve energy efficiency.

[0070] It can be seen that the range hood control method provided in this embodiment can achieve optimal smoke exhaust efficiency under different cooking conditions by intelligently controlling the working state of the molecular sieve; by optimizing the emission ratio, it helps to reduce the amount of smoke in the public flue, reduce the static pressure, and prevent the backflow of oil smoke; by adsorbing VOCs and oil fume particles, it significantly improves the indoor air quality and creates a healthier living space for residents; it reduces the direct emission of oil smoke and VOCs and reduces pollution to the outdoor environment; and adopts a low-speed fan and intelligent control strategy to reduce energy consumption and operating noise.

[0071] Furthermore, in some embodiments, the range hood further comprises a return duct, the return duct comprising a coarse filter layer, a fine filter layer and a molecular sieve placed in sequence, and after the molecular sieve is controlled and adjusted to adsorb the oil smoke in the cooking area according to the working mode and the emission ratio, it further comprises:

[0072] S61. Detect the exhaust gas of the range hood and obtain the emission test results;

[0073] S62. Based on the emission detection results, control the return duct to perform secondary filtration on the exhaust gas of the range hood.

[0074] Specifically, the range hood provided in this embodiment is further provided with a return pipe, including a coarse filter layer, a fine filter layer and a molecular sieve placed in sequence, that is, when the oil smoke is refluxed, it first passes through the coarse filter layer and then the fine filter layer, and finally passes through the molecular sieve. The coarse filter layer is mainly used to remove large particles in the oil smoke, the fine filter layer further filters smaller particles and microorganisms, and the molecular sieve is responsible for adsorbing VOCs and oil smoke particles. Among them, the coarse filter layer can be a primary filter, and the fine filter layer can be a HEPA filter layer to remove large particles and microorganisms in the oil smoke. Then the range hood control method provided in this embodiment also includes detecting the exhaust gas after the molecular sieve adsorbs the oil smoke to evaluate the quality of the exhaust gas. The detection indicators may include VOC concentration, oil smoke particle concentration, etc., to ensure that the exhaust gas meets environmental protection standards. Based on the emission detection results, the return pipe is controlled to perform secondary filtration on the exhaust gas. If the VOC concentration and the oil smoke particle concentration in the exhaust gas do not exceed the preset value, the return pipe is controlled to perform secondary filtration on a certain proportion of the exhaust gas. If the VOC concentration and oil fume particle concentration in the exhaust gas exceed the preset value, the molecular sieve is controlled to adsorb the exhaust gas again before discharging it.

[0075] In a specific embodiment, the filtering strength of the filter layer can be automatically adjusted according to the nature and concentration of the oil smoke, and the clogging degree of the filter layer can be monitored to remind the user when cleaning or replacement is required.

[0076] This embodiment ensures the quality of exhaust gas and reduces pollution to the outdoor environment through secondary filtration; it can flexibly adjust the filtration and adsorption process according to actual emission conditions, thereby improving adaptability and reliability; and it helps to extend the service life of the filter layer and molecular sieve through intelligent diagnosis and maintenance reminders.

[0077] Further, in some embodiments, step S62 “controlling the reflux duct to perform secondary filtration on the exhaust gas of the range hood based on the emission detection result” may specifically include:

[0078] S621. If the concentration of volatile organic matter and the concentration of oil fume particles in the exhaust gas of the range hood are detected based on the emission detection results and do not exceed the corresponding preset values, the reflux pipe is controlled to perform secondary filtration on the preset proportion of the exhaust gas;

[0079] S622. If it is detected based on the emission detection results that the concentration of volatile organic compounds and oil fume particles in the cooking area exceeds the corresponding preset values, the molecular sieve is controlled to adsorb the exhaust gas before discharging it.

[0080] Specifically, for step S62, after the molecular sieve adsorption treatment, the exhaust gas is detected by a specific sensor or detection equipment. The detected parameters mainly include the concentration of volatile organic compounds (VOC) and the concentration of oil fume particles, which are key indicators for evaluating whether the exhaust gas meets environmental protection standards. Whether the exhaust gas needs to be filtered twice is determined based on the emission detection results. If the VOC concentration and the oil fume particle concentration in the exhaust gas are lower than or equal to the preset safety threshold, the reflux pipe will be controlled to perform secondary filtration on a certain proportion of the exhaust gas to ensure that these gases meet higher cleanliness standards before discharge. If the VOC concentration and the oil fume particle concentration in the exhaust gas exceed the preset value, the molecular sieve will be controlled to re-adsorb these exhaust gases to reduce the emission of pollutants.

[0081] In a specific embodiment, the working parameters of the molecular sieve and the filtering intensity of the return duct can be automatically adjusted according to real-time air quality data through an intelligent adjustment mechanism; a multi-stage filtration design is adopted, which can include an activated carbon filter layer or other types of filter layers in addition to a coarse filter layer and a fine filter layer to further improve the filtration efficiency.

[0082] This embodiment ensures the quality of the exhaust gas and reduces the pollution to the outdoor environment through accurate exhaust gas detection and secondary filtration control; it can flexibly adjust the filtration and adsorption process according to the actual emission situation to improve adaptability and reliability. Through intelligent adjustment and maintenance reminders, it helps to extend the service life of the filter layer and molecular sieve.

[0083] Further, in some embodiments, step S2 of “monitoring the air quality index of the cooking area in real time and generating air quality monitoring results” may specifically include:

[0084] S21. Real-time monitoring of the oil ion concentration in the cooking area through the oil ion sensor integrated in the range hood;

[0085] S22. Calculating the concentration of volatile organic compounds and the concentration of oil fume particles based on the oil ion concentration;

[0086] S23. Generate air quality monitoring results based on oil ion concentration, volatile organic compound concentration and oil fume particle concentration.

[0087] Specifically, for step S2, the oil ion concentration in the cooking area is monitored in real time by an integrated oil ion sensor. The oil ion sensor can detect tiny oil droplets in the oil mist and smoke generated during the cooking process, which form oil ions in the air. The integrated sensor uses photoelectric technology, electrochemical technology or other advanced detection technology to ensure the accuracy and real-time nature of the monitoring data. The concentration of volatile organic compounds (VOC) and oil fume particles is calculated based on the oil ion concentration. The concentration of VOC and oil fume particles is inferred from the oil ion concentration through machine learning or statistical models. In addition, the oil ion concentration can also be pre-processed, such as filtering, denoising, etc., to improve the accuracy of the data. Air quality monitoring results are generated based on the oil ion concentration, VOC concentration and oil fume particle concentration. These results will provide data support for subsequent intelligent control. The monitoring results include air quality index (AQI), pollution level, recommended ventilation strategies, etc., to help users understand the current air quality conditions.

[0088] In some embodiments, the range hood integrates multiple sensors, including temperature, humidity, CO2 concentration and other sensors in addition to the oil ion sensor, to provide more comprehensive air quality information. When the air quality deteriorates, the range hood is automatically started or the working mode of the range hood is adjusted to improve the air quality. In addition, the user may set specific air quality thresholds through the interface, and the working mode of the range hood is automatically adjusted according to these thresholds. The user remotely monitors the air quality and remotely controls the working mode of the range hood through the smart home system or mobile application.

[0089] Through real-time monitoring and intelligent analysis of the oil ion sensor, this embodiment can more accurately evaluate the air quality of the cooking area; it can flexibly adjust the working mode of the range hood according to the actual air quality conditions, thereby improving the adaptability and reliability of smoke exhaust, and helping to protect the health of residents by reducing the inhalation of oil smoke and VOCs, especially for people who are susceptible to air pollution, such as children, the elderly and people with respiratory diseases.

[0090] Further, in some embodiments, step S21 “monitoring the oil ion concentration in the cooking area in real time through the oil ion sensor integrated in the range hood” may specifically include:

[0091] S211. Obtaining oil ion images of the cooking area through the oil ion sensor;

[0092] S212. Preprocessing the oil ion concentration to obtain a preprocessed oil ion image;

[0093] S213. Use an image recognition algorithm to perform oil ion feature recognition on the preprocessed oil ion image to obtain the oil ion concentration.

[0094] Specifically, for step S21, an oil ion image of the cooking area is obtained by an oil ion sensor. For example, a highly sensitive optical sensor can capture oil droplets and smoke in the air. The sensor is designed to capture oil ions of different sizes to provide more comprehensive information on the distribution of oil smoke. The obtained oil ion image is preprocessed to improve the availability of the data. The preprocessing steps include denoising, contrast enhancement, correction of illumination effects, etc. The preprocessed oil ion image will more clearly reflect the distribution and concentration of oil smoke. The preprocessed oil ion image is analyzed using an image recognition algorithm to identify the characteristics of the oil ions. These characteristics include the size, shape, distribution density, etc. of the oil ions. Through machine learning or deep learning technology, the oil ions are automatically identified and classified to improve the accuracy and efficiency of identification. Based on the oil ion concentration, the VOC concentration corresponding to the cooking area is calculated. This step involves complex chemical models and algorithms to infer the concentration of VOCs from the oil ion concentration. A calibration is performed based on the oil ion concentration and the VOC concentration to obtain the corresponding oil smoke particle concentration in the cooking area, for example, by multivariate statistical analysis or regression model.

[0095] The range hood can also integrate various types of sensors, such as temperature, humidity, CO, and CO2 sensors, to provide more comprehensive cooking environment monitoring. When the monitored oil ion concentration exceeds the safety threshold, the range hood will be automatically started or the working mode of the range hood will be adjusted to improve the air quality.

[0096] This embodiment uses high-precision oil ion sensors and advanced image recognition technology to more accurately monitor and analyze the oil ion concentration in the cooking area; flexibly adjusts the working mode of the range hood according to the actual oil ion concentration, thereby improving adaptability and reliability; users can understand the oil ion concentration status in real time and automatically adjust to meet higher air quality standards, thereby improving the user experience.

[0097] Furthermore, in some embodiments, step S22 of “calculating the concentration of volatile organic compounds and the concentration of oil fume particles based on the concentration of oil ions” may specifically include:

[0098] S221. Calculate the volatile organic compound concentration corresponding to the cooking area based on the oil ion concentration;

[0099] S222. Perform verification based on the oil ion concentration and the volatile organic compound concentration to obtain the corresponding oil fume particle concentration in the cooking area.

[0100] Specifically, for step S22, the volatile organic compound (VOC) concentration corresponding to the cooking area is first calculated based on the oil ion concentration, for example, based on a pre-set chemical model or a correlation formula derived from experimental data. Since the generation of oil ions and the release of VOCs are often synchronized during the cooking process, the concentration of VOCs can be indirectly evaluated by monitoring the concentration of oil ions. Then, a calibration is performed based on the oil ion concentration and the calculated VOC concentration to obtain the corresponding oil fume particle concentration in the cooking area. This step involves complex algorithms, such as multivariate statistical analysis or machine learning models, to ensure the accuracy of the calculation results.

[0101] In a specific embodiment, an image pattern recognition algorithm is used to identify the oil ion concentration and reversely calculate it into the VOC concentration; the oil ion concentration and the VOC concentration are verified to identify abnormal oil fume particle concentration. The oil ion concentration value measured by the oil ion sensor is converted into a VOC concentration value using a verification formula. The verification formula is C=RE×r, where R is the measured value of the oil ion concentration; r is the unit conversion coefficient, that is, the coefficient of oil ion conversion into VOC; C is the measured value of the VOC concentration; E is the oil ion concentration conversion coefficient value, and E is reversely calculated based on the detected smoke particle concentration. The reverse calculation formula of E is E(X)=k2*lg(X)2+k1*lg X+R2, where X is the VOC concentration at the air inlet of the range hood; k2 is related to the oil ion concentration; k1 is related to the particle concentration in the oil fume.

[0102] This embodiment can also be designed with a real-time data feedback mechanism to display the calculated VOC and oil fume particle concentrations in real time on the user interface, so that the user can promptly understand the air quality of the cooking environment. The working mode of the range hood is automatically adjusted according to the calculation results, such as increasing the adsorption strength of the molecular sieve or adjusting the filter settings of the return duct to more effectively handle oil fume and VOC. And the calculation model can be automatically adjusted according to different cooking conditions (such as different types of food, cooking methods, etc.) to improve the accuracy of the calculation. By storing and analyzing VOC and oil fume particle concentration data over a period of time, a basis is provided for optimizing cooking habits and range hood use.

[0103] This embodiment can more accurately evaluate the air quality of the cooking area through precise oil ion concentration monitoring and calculation of VOC and oil fume particle concentrations, thereby flexibly adjusting the working mode of the range hood according to the actual VOC and oil fume particle concentrations, thereby improving the adaptability and reliability. Users can understand the VOC and oil fume particle concentrations in real time, and the system will automatically adjust to meet higher air quality standards, thereby improving the user experience.

[0104] Furthermore, in some embodiments, the range hood control method may further include:

[0105] S71. Real-time monitoring of the inlet and outlet gas flow and inlet and outlet gas pressure of the smoke machine;

[0106] S72. Adjust the power and air volume of the fan in the range hood based on the inlet and outlet gas flow rates and inlet and outlet gas pressures.

[0107] Specifically, the range hood control method provided in this embodiment also provides a real-time monitoring function for the gas flow and pressure at the inlet and outlet of the range hood, as well as the ability to adjust the fan power and air volume based on these parameters. By being equipped with a flow sensor and a pressure sensor, the gas flow and pressure at the inlet and outlet of the range hood can be monitored in real time. These sensors are installed at the inlet and outlet of the range hood and can continuously monitor the dynamic changes of gas flow. The data collected by the sensor is transmitted to the control system, which processes and analyzes the data to determine the current working status of the range hood. A filtering algorithm is used to remove noise from the data, and accurate flow and pressure readings are obtained through algorithm conversion. Based on the real-time monitored gas flow and pressure data, the fan power and air volume will be automatically adjusted to maintain the efficient operation of the range hood. For example, if a decrease in gas flow or an increase in pressure is detected, the fan power can be increased to maintain the exhaust efficiency.

[0108] This embodiment uses advanced control algorithms, such as PID control or adaptive control strategies, to achieve precise adjustment of fan power and air volume. Users can set specific flow and pressure thresholds through the interface, and the system will automatically adjust the working state of the fan according to these thresholds. In addition, fault warning and diagnosis functions can be integrated to alert users when abnormal flow or pressure is detected and provide possible causes of the fault.

[0109] This embodiment can ensure the best exhaust efficiency under different working conditions through real-time monitoring and adjustment; the system can automatically adjust the fan power and air volume according to the real-time monitored gas flow and pressure, improving adaptability and flexibility. By preventing the fan from running under too high or too low load, it helps to extend the service life of the smoke exhaust fan and the fan.

[0110] In summary, the range hood control method provided in this embodiment includes: in response to the start-up operation for the range hood, starting the molecular sieve in the range hood and obtaining the current working parameters of the molecular sieve; real-time monitoring of the air quality index of the cooking area and generating air quality monitoring results; based on the air quality monitoring results and the current working parameters of the molecular sieve, generating the target working parameters corresponding to the molecular sieve; adjusting the working mode and emission ratio of the molecular sieve based on the target working parameters; controlling the adjusted molecular sieve to adsorb the oil smoke in the cooking area according to the working mode and emission ratio. It can be seen that the range hood control method provided in this embodiment, by real-time monitoring of air quality indicators, enables the range hood to intelligently adjust the working parameters of the molecular sieve according to the monitoring results to ensure the indoor air quality, and adsorbs volatile organic compounds through the molecular sieve and realizes partial or full emission into the room, thereby ensuring the exhaust efficiency while reducing the burden on the public flue and effectively reducing the static pressure in the flue.

[0111] In order to better implement the range hood control method of the embodiment of the present application, the embodiment of the present application also provides a range hood control device, wherein the meanings of the terms are the same as those in the above range hood control method, and the specific implementation details can refer to the description in the method embodiment.

[0112] See also Figure 3 , Figure 3 This is a schematic diagram of the structure of the range hood control device provided in the embodiment of the present application, wherein the range hood control device may specifically include an acquisition module 201, a monitoring module 202, a parameter module 203, an adjustment module 204 and a control module 205, which may be specifically as follows:

[0113] The acquisition module 201 is used to start the molecular sieve in the range hood in response to the start-up operation of the range hood and to obtain the current working parameters of the molecular sieve;

[0114] Monitoring module 202, used to monitor the air quality index of the cooking area in real time and generate air quality monitoring results;

[0115] A parameter module 203 is used to generate target operating parameters corresponding to the molecular sieve based on the air quality monitoring results and the current operating parameters of the molecular sieve;

[0116] An adjustment module 204, for adjusting the working mode and emission ratio of the molecular sieve based on the target working parameters;

[0117] The control module 205 is used to control the adjusted molecular sieve to adsorb the oil smoke in the cooking area according to the working mode and emission ratio.

[0118] Furthermore, in some embodiments, the range hood also includes a return duct, which includes a coarse filter layer, a fine filter layer and a molecular sieve placed in sequence, and the range hood control device also includes a secondary filtration module, which is used to: detect the exhaust gas of the range hood to obtain emission detection results; and based on the emission detection results, control the return duct to perform secondary filtration on the exhaust gas of the range hood.

[0119] Furthermore, in some embodiments, the secondary filtration module is specifically used for:

[0120] If it is detected based on the emission detection result that the concentration of volatile organic matter and the concentration of oil fume particles in the exhaust gas of the range hood do not exceed the corresponding preset values, the return pipe is controlled to perform secondary filtration on the preset proportion of the exhaust gas;

[0121] If it is detected based on the emission detection results that the concentration of volatile organic compounds and oil fume particles in the cooking area exceeds the corresponding preset values, the molecular sieve is controlled to adsorb the exhaust gas before discharging it.

[0122] Furthermore, in some embodiments, the monitoring module 203 may specifically include:

[0123] A monitoring unit, used for real-time monitoring of the oil ion concentration in the cooking area through an oil ion sensor integrated in the range hood;

[0124] A calculation unit, used for calculating the concentration of volatile organic matter and the concentration of oil fume particles based on the concentration of oil ions;

[0125] The result generating unit is used to generate the air quality monitoring result based on the oil ion concentration, the volatile organic matter concentration and the oil fume particle concentration.

[0126] Furthermore, in some embodiments, the monitoring unit is specifically used to: obtain an oil ion image of the cooking area through an oil ion sensor; preprocess the oil ion concentration to obtain a preprocessed oil ion image; and use an image recognition algorithm to perform oil ion feature recognition on the preprocessed oil ion image to obtain the oil ion concentration.

[0127] Furthermore, in some embodiments, the calculation unit is specifically used to: calculate the volatile organic compound concentration corresponding to the cooking area based on the oil ion concentration; and perform verification based on the oil ion concentration and the volatile organic compound concentration to obtain the corresponding oil fume particle concentration in the cooking area.

[0128] Furthermore, in some embodiments of the present application, the range hood control device also includes a fan adjustment module, which is specifically used to: monitor the inlet and outlet gas flow and inlet and outlet gas pressure of the range hood in real time; and adjust the power and air volume of the fan in the range hood based on the inlet and outlet gas flow and inlet and outlet gas pressure.

[0129] In summary, the range hood control device provided in this embodiment responds to the start-up operation of the range hood through the acquisition module 201, starts the molecular sieve in the range hood, and obtains the current working parameters of the molecular sieve; monitors the air quality index of the cooking area in real time through the monitoring module 202 to generate air quality monitoring results; generates the target working parameters corresponding to the molecular sieve based on the air quality monitoring results and the current working parameters of the molecular sieve through the parameter module 203; adjusts the working mode and emission ratio of the molecular sieve based on the target working parameters through the adjustment module 204; and controls the adjusted molecular sieve to adsorb the oil smoke in the cooking area according to the working mode and emission ratio through the control module 205. It can be seen that the range hood control device provided in this embodiment monitors the air quality index in real time, so that the range hood can intelligently adjust the working parameters of the molecular sieve according to the monitoring results to ensure the indoor air quality, and adsorbs volatile organic compounds through the molecular sieve and discharges them partially or completely into the room, while ensuring the exhaust efficiency, reducing the burden on the public flue and effectively reducing the static pressure in the flue.

[0130] In addition, the present application also provides an electronic device, such as Figure 4 , which shows a schematic diagram of the structure of an electronic device involved in an embodiment of the present application. Specifically, the electronic device may include a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, an input unit 304 and other components. Those skilled in the art can understand that Figure 4 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0131] The processor 301 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 302, and calling data stored in the memory 302, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 301.

[0132] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and the range hood control method by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.

[0133] The electronic device also includes a power supply 303 for supplying power to each component. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, so that the power management system can manage charging, discharging, power consumption and other functions. The power supply 303 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0134] The electronic device may further include an input unit 304, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0135] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302, thereby realizing various functions, as follows:

[0136] In response to a start-up operation for the range hood, the molecular sieve in the range hood is started, and the current working parameters of the molecular sieve are obtained; the air quality indicators of the cooking area are monitored in real time to generate air quality monitoring results; based on the air quality monitoring results and the current working parameters of the molecular sieve, target working parameters corresponding to the molecular sieve are generated; based on the target working parameters, the working mode and emission ratio of the molecular sieve are adjusted; and the adjusted molecular sieve is controlled to adsorb oil smoke in the cooking area according to the working mode and emission ratio.

[0137] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0138] The embodiments of the present application monitor air quality indicators in real time, so that the range hood can intelligently adjust the working parameters of the molecular sieve according to the monitoring results to ensure indoor air quality, and adsorb volatile organic compounds through the molecular sieve and discharge them partially or completely into the room, thereby ensuring exhaust efficiency while reducing the burden on the public flue and effectively reducing the static pressure in the flue.

[0139] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0140] To this end, an embodiment of the present application provides a storage medium in which a plurality of instructions are stored. The instructions can be loaded by a processor to execute the steps in any of the range hood control methods provided in the embodiments of the present application. For example, the instructions can execute the following steps:

[0141] In response to a start-up operation for the range hood, the molecular sieve in the range hood is started, and the current working parameters of the molecular sieve are obtained; the air quality indicators of the cooking area are monitored in real time to generate air quality monitoring results; based on the air quality monitoring results and the current working parameters of the molecular sieve, target working parameters corresponding to the molecular sieve are generated; based on the target working parameters, the working mode and emission ratio of the molecular sieve are adjusted; and the adjusted molecular sieve is controlled to adsorb oil smoke in the cooking area according to the working mode and emission ratio.

[0142] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0143] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. Since the instructions stored in the storage medium can execute the steps in any of the range hood control methods provided in the embodiments of the present application, the beneficial effects that can be achieved by any of the range hood control methods provided in the embodiments of the present application can be achieved, as detailed in the previous embodiments, which will not be repeated here.

[0144] The above is a detailed introduction to a range hood control method, device, electronic device and storage medium provided in the embodiments of the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A range hood control method, characterized in that: The steps include: In response to a start-up operation on the range hood, a molecular sieve in the range hood is started, and current operating parameters of the molecular sieve are obtained; Monitor the air quality indicators in the cooking area in real time and generate air quality monitoring results; Based on the air quality monitoring result and the current operating parameters of the molecular sieve, generating target operating parameters corresponding to the molecular sieve; Adjusting the working mode and emission ratio of the molecular sieve based on the target working parameters; The controlled and adjusted molecular sieve adsorbs the oil smoke in the cooking area according to the working mode and the emission ratio.

2. The range hood control method according to claim 1, characterized in that: The range hood further comprises a return duct, wherein the return duct comprises a coarse filter layer, a fine filter layer and the molecular sieve which are placed in sequence, and after the molecular sieve after the control adjustment absorbs the oil smoke in the cooking area according to the working mode and the emission ratio, further comprises: Detecting the exhaust gas of the range hood to obtain an emission detection result; Based on the emission detection result, the return duct is controlled to perform secondary filtration on the exhaust gas of the range hood.

3. The range hood control method according to claim 2, characterized in that: The controlling the reflux pipe to perform secondary filtration on the exhaust gas of the range hood based on the emission detection result includes: If it is detected based on the emission detection result that the concentration of the volatile organic matter and the concentration of the oil fume particles in the exhaust gas of the range hood do not exceed the corresponding preset values, the reflux pipe is controlled to perform secondary filtration on a preset proportion of the exhaust gas; If it is detected based on the emission detection result that the concentration of the volatile organic compounds and the concentration of the oil fume particles in the cooking area exceed corresponding preset values, the molecular sieve is controlled to adsorb the exhaust gas before discharging it.

4. The range hood control method according to claim 1, characterized in that: The real-time monitoring of the air quality index of the cooking area and generating the air quality monitoring result include: The oil ion concentration in the cooking area is monitored in real time by an oil ion sensor integrated in the range hood; Calculating the concentration of volatile organic matter and the concentration of oil smoke particles based on the oil ion concentration; An air quality monitoring result is generated based on the oil ion concentration, the volatile organic compound concentration and the oil smoke particle concentration.

5. The range hood control method according to claim 1, characterized in that: The method of real-time monitoring the oil ion concentration in the cooking area by using an oil ion sensor integrated in the range hood includes: Acquiring an oil ion image of the cooking area by using the oil ion sensor; Preprocessing the oil ion concentration to obtain a preprocessed oil ion image; An image recognition algorithm is used to perform oil ion feature recognition on the pre-processed oil ion image to obtain the oil ion concentration.

6. The range hood control method according to claim 5, characterized in that: The step of calculating the concentration of volatile organic matter and the concentration of oil fume particles based on the oil ion concentration includes: Calculating the volatile organic compound concentration corresponding to the cooking area based on the oil ion concentration; A calibration is performed based on the oil ion concentration and the volatile organic compound concentration to obtain a corresponding oil fume particle concentration in the cooking area.

7. The range hood control method according to claim 1, characterized in that: Also includes: Real-time monitoring of the inlet and outlet gas flow and the inlet and outlet gas pressure of the smoke exhaust fan; Based on the inlet and outlet gas flow rates and the inlet and outlet gas pressures, the power and air volume of the fan in the range hood are adjusted.

8. A range hood control device, characterized in that: include: An acquisition module, used for starting the molecular sieve in the range hood in response to a start-up operation on the range hood, and obtaining current working parameters of the molecular sieve; A monitoring module is used to monitor the air quality indicators of the cooking area in real time and generate air quality monitoring results; A parameter module, used for generating target operating parameters corresponding to the molecular sieve based on the air quality monitoring result and the current operating parameters of the molecular sieve; An adjustment module, used for adjusting the working mode and emission ratio of the molecular sieve based on the target working parameters; The control module is used to control the adjusted molecular sieve to adsorb the oil smoke in the cooking area according to the working mode and the emission ratio.

9. An electronic device, characterized in that: include: A memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the range hood control method according to any one of claims 1 to 7 are implemented.

10. A storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the range hood control method according to any one of claims 1 to 7.

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