Range hood control method and device, range hood and medium

Abstract

The embodiment of the invention provides a range hood control method and device, a range hood and a medium, and the method comprises the steps that detection data after the range hood is started are obtained, and the detection data comprise pollutant information, environment temperature and environment air pressure of multiple positions of the range hood at the current moment; according to the detection data, target power and target time required for decontamination of the range hood are determined; controlling the range hood to work according to the target power and the target time required by decontamination of the range hood until the preset cleaning condition is met, and closing the range hood. According to the embodiment of the invention, by acquiring the pollutant information, the environment temperature and the environment air pressure of the multiple positions of the range hood at the current moment, the target power and the target time required for decontamination of the range hood can be accurately determined, so that the range hood is accurately controlled to work according to the target power and the target time, the decontamination energy consumption of the range hood is effectively reduced, and the user experience is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of smart home, and particularly to a range hood control method and a range hood control device. Background Art

[0002] Range hoods play an indispensable role in modern kitchens. They can remove the oil fumes, steam and harmful gases generated during cooking, keep the kitchen air fresh, and provide a healthy cooking environment for family members. At the same time, they can also reduce the deposition of oil stains on kitchen facilities, lighten the cleaning burden and extend the service life of the equipment. However, for the existing range hoods on the market, their gears are mainly divided into several fixed gears, and there are usually situations where they are shut down before the extraction is complete, or they operate in a high-energy consumption mode for a long time, resulting in an increase in energy consumption and unable to achieve precise control. Summary of the Invention

[0003] In view of the above problems, embodiments of the present invention are proposed to provide a range hood control method, device, range hood and medium that overcome the above problems or at least partially solve the above problems.

[0004] According to a first aspect of an embodiment of the present invention, a range hood control method is provided, and the method includes: Obtain detection data after the range hood is turned on, where the detection data includes pollutant information, ambient temperature, and ambient air pressure at multiple positions of the range hood at the current moment; Determine the target power and target time required for the range hood to remove dirt according to the detection data; Control the range hood to work according to the target power and target time required for the range hood to remove dirt, and turn off the range hood until a preset cleanliness condition is met.

[0005] Optionally, the determining the target power and target time required for the range hood to remove dirt according to the detection data includes: Input the detection data into a preset range hood operation parameter prediction model, and obtain the target power and target time required for the range hood to remove dirt output by the preset range hood operation parameter prediction model.

[0006] Optionally, the training method of the preset range hood operation parameter prediction model is as follows: Obtain a sample data set and the actual power and actual time required for the range hood to remove dirt corresponding thereto; the sample data set is pollutant information, ambient temperature, and ambient air pressure at multiple positions of the range hood at multiple moments; Input the sample data set and the actual power and actual time required for the range hood to remove dirt corresponding thereto into a preset range hood operation parameter prediction model, and obtain the corresponding target power and target time output by the preset range hood operation parameter prediction model; When it is determined that a preset training stop condition is met according to the actual power, actual time, target power, and target time, a preset prediction model for the operating parameters of the smoke machine is obtained.

[0007] Optionally, the smoke machine is provided with sensors, and the sensors include: a plurality of pollutant sensors, a temperature sensor, and a pressure sensor, which are distributed in a distributed manner; The detection data includes pollutant information detected by a plurality of pollutant sensors distributed in the smoke machine, the ambient temperature detected by the temperature sensor, and the ambient air pressure detected by the pressure sensor.

[0008] Optionally, after the smoke machine is turned on, the method further includes: Detect the status of the sensors; When the status of the sensors is abnormal, remind the user to replace the sensors with abnormal status.

[0009] Optionally, after the smoke machine is turned on, the method further includes: When the status of the pollutant sensor is abnormal, obtain the detection data of a plurality of normal pollutant sensors adjacent to the abnormal pollutant sensor and calculate the average value as the data of the abnormal pollutant sensor.

[0010] Optionally, the step of turning off the smoke machine until a preset cleanliness condition is met includes: Obtain the pollutant concentration detected by the plurality of distributed pollutant sensors after the working target time of the smoke machine; When the pollutant concentration is lower than or equal to a preset concentration threshold, turn off the smoke machine.

[0011] According to the second aspect of the embodiments of the present invention, a smoke machine control device is provided, and the device includes: A first acquisition module, configured to acquire detection data after the smoke machine is turned on, where the detection data includes pollutant information, ambient temperature, and ambient air pressure at multiple positions of the smoke machine at the current moment; A first determination module, configured to determine the target power and target time required for the smoke machine to remove pollutants according to the detection data; A first control module, configured to control the operation of the smoke machine according to the target power and target time required for the smoke machine to remove pollutants, and turn off the smoke machine until a preset cleanliness condition is met.

[0012] Optionally, the first determination module includes: A first determination sub-module, configured to input the detection data into a preset prediction model for the operating parameters of the smoke machine, and obtain the target power and target time required for the smoke machine to remove pollutants output by the preset prediction model for the operating parameters of the smoke machine.

[0013] Optionally, the device further includes: a model training module, which is configured to train the preset operation parameter prediction model of the range hood through the following method: Obtain a sample data set and the actual power and actual time required for soot removal of the range hood corresponding thereto; the sample data set is the pollutant information, ambient temperature, and ambient air pressure at multiple positions of the range hood at multiple moments; Input the sample data set and the actual power and actual time required for soot removal of the range hood corresponding thereto into the preset operation parameter prediction model of the range hood, and obtain the target power and target time corresponding to the output of the preset operation parameter prediction model of the range hood; When it is determined that the preset training stop condition is satisfied according to the actual power, actual time, the target power, and the target time, obtain the preset operation parameter prediction model of the range hood.

[0014] Optionally, the range hood is provided with sensors, and the sensors include: a plurality of pollutant sensors, a temperature sensor, and a pressure sensor that are distributed; The detection data includes the pollutant information detected by a plurality of pollutant sensors distributed on the range hood, the ambient temperature detected by the temperature sensor, and the ambient air pressure detected by the pressure sensor.

[0015] Optionally, the device further includes: a first detection module, which is configured to detect the status of the sensors after the range hood is turned on; when the status of the sensors is abnormal, remind the user to replace the sensor with abnormal status.

[0016] Optionally, the device further includes: a second detection module, which is configured to, after the range hood is turned on, when the status of the pollutant sensor is abnormal, obtain the detection data of a plurality of normal pollutant sensors adjacent to the pollutant sensor with abnormal status and calculate the average value as the data of the pollutant sensor with abnormal status.

[0017] Optionally, the first control module includes: A first acquisition sub-module, which is configured to acquire the pollutant concentration detected by a plurality of pollutant sensors distributed after the working target time of the range hood; A first shutdown sub-module, which is configured to turn off the range hood when the pollutant concentration is lower than or equal to a preset concentration threshold.

[0018] According to the third aspect of the present invention, there is provided a range hood, which includes: a processor, a memory, and a computer program stored on the memory and capable of running on the processor, and when the computer program is executed by the processor, the steps of the range hood control method described in any one of the above are implemented.

[0019] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the range hood control method described in any one of the above are implemented.

[0020] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: The embodiments of the present invention provide a range hood control method, device, range hood and medium. By obtaining the detection data after the range hood is turned on, the detection data includes pollutant information, ambient temperature and ambient air pressure at multiple positions of the range hood at the current moment; according to the detection data, determine the target power and target time required for the range hood to remove dirt; according to the target power and target time required for the range hood to remove dirt, control the range hood to work until the preset cleanliness condition is met, and then turn off the range hood. By obtaining the pollutant information, ambient temperature and ambient air pressure at multiple positions of the range hood at the current moment, the embodiments of the present invention can accurately determine the target power and target time required for the range hood to remove dirt, and accurately control the range hood to work according to the target power and target time, effectively reducing the energy consumption of the range hood for dirt removal and optimizing the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 is a flowchart of the steps of a range hood control method provided by an embodiment of the present invention; Figure 2 is a structural block diagram of a range hood control device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] To make the above objects, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0023] One of the core concepts of the embodiments of the present invention is that by obtaining the pollutant information, ambient temperature and ambient air pressure at multiple positions of the range hood at the current moment, the target power and target time required for the range hood to remove dirt can be accurately determined, and the range hood can be accurately controlled to work according to the target power and target time, effectively reducing the energy consumption of the range hood for dirt removal and optimizing the user experience.

[0024] Refer to Figure 1 , which shows a flowchart of the steps of a range hood control method provided by an embodiment of the present invention. The method may specifically include the following steps: Step 101, obtain the detection data after the range hood is turned on, where the detection data includes pollutant information, ambient temperature and ambient air pressure at multiple positions of the range hood at the current moment; The range hood is equipped with an intelligent control system, which is connected to a variety of sensors installed at different key positions of the range hood. The range hood can obtain the detection data after being turned on through its built-in intelligent control system. Pollutants can include lampblack, steam, harmful gases, and particulate matter. Detecting the pollutant concentration at the current moment can help accurately evaluate the change of kitchen air quality, ensure that the range hood effectively removes the lampblack, steam, and harmful gases generated during the cooking process, and maintain a healthy and fresh kitchen environment. This not only protects the respiratory health of family members but also reduces the damage to kitchen facilities caused by long-term oil accumulation. Secondly, the data of environmental temperature and air pressure are crucial for optimizing the operation of the range hood. The air fluidity and pollutant diffusion speed vary significantly under different environmental conditions, affecting the working efficiency of the range hood. For example, in a high-temperature or high-humidity environment, the range hood requires a higher power to effectively remove moisture and heat; while under low air pressure conditions, pollutants may diffuse faster, requiring the range hood to have a stronger exhaust capacity. Therefore, by collecting these parameters in real time, the range hood can dynamically adjust its operating state, adapt to changes in external conditions, and achieve the best decontamination effect.

[0025] Step 102: According to the detection data, determine the target power and target time required for the range hood to remove pollutants. Traditional range hoods usually provide several fixed gear options, which are difficult to flexibly adjust according to the actual pollution level, easily leading to problems such as shutting down before completely removing pollutants or running at high energy consumption for a long time. However, in this application, by accurately calculating the target power and target time required for the range hood to effectively remove pollutants, not only can the working efficiency be improved, but also the energy consumption can be significantly reduced. The intelligent control system of the range hood can automatically optimize the operation parameters of the range hood according to real-time data, ensuring both a good decontamination effect and achieving the purpose of energy conservation and emission reduction. This not only helps environmental protection but also reduces the electricity bill expenses of users.

[0026] From the perspective of user experience, the intelligent control strategy based on detection data makes the operation of the range hood more simple and intuitive, reduces the trouble of manual adjustment by users, and can provide customized services according to personal usage habits. This precise and flexible control method greatly improves the user's satisfaction and comfort, providing a more healthy, convenient, and energy-efficient kitchen environment for users. In short, using the detection data to determine the target power and target time required for the range hood to remove pollutants is an important step towards smart home, reflecting the great potential of modern household appliances in improving the quality of life.

[0027] In one embodiment, step 102 may include the following sub-steps: Sub-step S21: Input the detection data into a preset range hood operation parameter prediction model to obtain the target power and target time required for the range hood to remove pollutants output by the preset range hood operation parameter prediction model.

[0028] Exemplarily, the preset range hood operation parameter prediction model can be trained by a neural network with a long time series. The neural network with a long time series is a deep learning model specialized in processing time series data, which can capture long-term dependencies and complex patterns in the data. The preset range hood operation parameter prediction model can quickly process the input detection data and calculate the optimal target power and target time based on this, enabling the range hood to automatically adjust its working mode in a dynamically changing environment and achieve the best decontamination effect. This not only improves the working efficiency of the range hood but also reduces energy consumption, meeting the requirements of modern energy conservation and environmental protection.

[0029] In one embodiment, the training method of the preset range hood operation parameter prediction model is as follows: Obtain a sample data set and the actual power and actual time required for the range hood to remove dirt; the sample data set is the pollutant information, ambient temperature, and ambient air pressure at multiple positions of the range hood at multiple moments. Exemplarily, obtaining the sample data set and the corresponding actual power and actual time required for the range hood to remove dirt, especially that the sample data set contains detailed data such as pollutant information, ambient temperature, and ambient air pressure at multiple positions of the range hood at multiple moments, is the basis for constructing an efficient preset range hood operation parameter prediction model. First of all, these detailed data provide a true reflection of the dynamic changes in the kitchen environment, enabling the model to be trained based on the actual situation. By analyzing the working effects of the range hood under different conditions (such as different pollution levels, ambient temperatures, and air pressures), the key factors affecting the efficiency of the range hood and their interaction mechanisms can be captured more accurately. The pollutant information in the sample data set helps determine the decontamination intensity required under various pollution levels; the ambient temperature and air pressure reveal how external conditions affect air fluidity and pollutant diffusion speed, and thus affect the working mode of the range hood. Combining these data with the actual power and time used can enable the model to learn the optimal operation parameters required to achieve the best decontamination effect in a specific environment. This learning process based on the actual usage scenario greatly improves the reliability and generalization ability of the model, ensuring that it can provide accurate suggestions in diverse household environments. By training with these sample data, it is also possible to discover changing trends that traditional fixed-gear range hoods cannot adapt to. For example, in some cases, higher power or longer time may be required to completely remove pollutants, while in other cases, only lower energy consumption may be needed to complete the task. Through learning a large number of samples, the model can identify these rules and adjust the recommended operation parameters accordingly, thus realizing a more energy-efficient and efficient range hood control strategy.

[0030] Input the sample data set and the corresponding actual power and actual time required for the range hood to remove dirt into the preset range hood operation parameter prediction model, and obtain the target power and target time output by the preset range hood operation parameter prediction model. Exemplarily, by training with real sample datasets, the model can learn the complex relationships between different pollution levels, environmental conditions, and optimal operating parameters. These data provide a true reflection of the variations of various variables in the actual working environment, enabling the model to dynamically adjust its prediction results according to the actual situation. The pollutant information in the samples helps the model understand the decontamination measures to be taken under specific pollution conditions; the environmental temperature and air pressure reveal how external conditions affect air mobility and the pollutant diffusion rate, thus guiding the range hood to operate in the most efficient way. Combining these data with the actual power and time used, the model can identify the optimal operation strategy to ensure an ideal decontamination effect even in a changing environment. This data-driven intelligent control strategy not only improves the working efficiency of the range hood, reduces unnecessary energy consumption, but also simplifies user operation and enhances the overall user experience. By continuously learning and adapting to new data, the preset range hood operation parameter prediction model can be continuously optimized to provide a healthier, more comfortable, energy-saving, and efficient kitchen environment for users.

[0031] When it is determined that the preset training stop condition is met according to the actual power, actual time, target power, and target time, the preset range hood operation parameter prediction model is obtained.

[0032] Exemplarily, when it is determined that the preset training stop condition is met according to the actual power, actual time, target power, and target time, it means that the preset range hood operation parameter prediction model has reached the expected accuracy and reliability standards and can thus be formally established as the final model. This process is achieved through iterative training, where the actual power and actual time represent the real operation data when using the range hood under specific environmental conditions; while the target power and target time are the optimal working parameters predicted by the model based on these conditions. During the training process, the model continuously adjusts its internal parameters to minimize the difference between the predicted value and the true value.

[0033] As the training progresses, the model gradually learns how to more accurately predict the optimal working power and time based on variables such as pollutant concentration, ambient temperature, and air pressure. The preset training stop condition is usually set to be that the model prediction error reaches below an acceptable threshold, or the performance improvement is negligible over multiple consecutive iteration cycles, indicating that the model has converged. At this time, the model can not only accurately reflect the relationship between the input data (such as pollutant information, ambient temperature, ambient air pressure) and the output results (target power and time), but also effectively generalize to unseen datasets, ensuring its reliability and effectiveness in practical applications. In addition, determining that the preset training stop condition is met also means that the model has been fully verified under various working conditions and has sufficient robustness. For example, under different pollution levels and environmental conditions, the model can provide stable and efficient decontamination strategies. Such a model that has been rigorously trained and verified can significantly improve the working efficiency of the range hood, reduce unnecessary energy consumption, and optimize the user experience.

[0034] In one embodiment, the range hood is provided with sensors, and the sensors include: a plurality of pollutant sensors distributed, a temperature sensor, and a barometric pressure sensor; The detection data includes pollutant information detected by a plurality of pollutant sensors distributed on the range hood, ambient temperature detected by the temperature sensor, and ambient air pressure detected by the barometric pressure sensor.

[0035] The range hood is provided with a variety of sensors, including a plurality of pollutant sensors distributed, a temperature sensor, and a barometric pressure sensor, mainly to achieve comprehensive monitoring and precise control of kitchen environmental parameters.

[0036] A plurality of pollutant sensors distributed can be arranged at different key positions of the range hood to comprehensively cover and detect the air quality in the entire kitchen area. Exemplarily, these pollutant sensors can be arranged near the air inlet and at different heights or corners inside the range hood, so that the concentration changes of oil fume, steam, and other harmful gases emitted from the cooking area can be more accurately captured, ensuring timely and effective treatment. By arranging these sensors near the air inlet and at different heights or corners inside the range hood, precise capture and rapid response to the pollution source can be achieved. This multi-level and distributed sensor layout also helps to identify the specific location of the pollution source and its diffusion trend, making the operation of the range hood more intelligent.

[0037] The installation location of the temperature sensor can be inside the range hood housing, near the top but away from the direct exhaust duct. The air flow is usually relatively gentle here, avoiding sudden temperature changes or measurement errors caused by high-speed air flows. In addition, it can also be considered to place the temperature sensor near the control panel or on relatively fixed components within the range hood structure. These areas are generally not affected by the strong vibrations brought about by the fan operation, thus ensuring the accuracy of the measurement. Another optional location can be in the transition area between the air inlet and outlet of the range hood. Here, it can sense the overall temperature change in the kitchen without being directly affected by strong air flows. By installing the temperature sensor at these locations with less disturbance, not only can the accuracy of temperature measurement be improved, but also the overall temperature condition of the kitchen can be better reflected, providing accurate data support for the range hood. This helps the range hood adjust its operating mode according to the actual temperature conditions. For example, in a high-temperature environment, increase the power to more effectively exhaust hot air and moisture, and maintain a lower power in low-temperature conditions to save energy. Ultimately, this precise temperature control not only improves the working efficiency of the range hood but also enhances the user experience, making the kitchen environment more comfortable and healthy. At the same time, it also reflects the concept of modern home appliance design that emphasizes details and pursues high efficiency and energy conservation.

[0038] The air pressure sensor can be placed near the external ventilation opening of the range hood, or it can also be designed to be able to simultaneously sense the air pressure difference between the indoor and outdoor environments. This is done to accurately obtain the air pressure difference inside and outside the kitchen because air pressure changes directly affect the direction and speed of air flow, which in turn affects the effect of the range hood in extracting pollutants. For example, under low air pressure conditions, pollutants spread faster, requiring the range hood to have a higher exhaust efficiency; while in a high air pressure environment, appropriate adjustment is needed to maintain a stable exhaust effect.

[0039] Multiple pollutant sensors with a distributed setup can monitor the changes in pollutant concentrations at different positions of the range hood in real time, such as the levels of lampblack, steam, and other harmful gases, thus ensuring that the range hood can respond quickly and effectively remove these pollutants to maintain the cleanliness of the kitchen air. This multi-point monitoring method not only improves the detection accuracy but also can more accurately reflect the air quality status in the entire kitchen space. The temperature sensor is used to measure the ambient temperature in the kitchen. Different temperature conditions will affect the air fluidity and the pollutant diffusion speed, thereby affecting the working efficiency of the range hood. For example, in a high-temperature environment, an increase in humidity may lead to more water vapor that needs to be discharged; while in a low-temperature condition, the power of the range hood may need to be adjusted to prevent condensation. By monitoring the temperature in real time, the range hood can automatically adjust its operation mode according to the actual environment to achieve the best decontamination effect. The air pressure sensor can sense the air pressure difference inside and outside the kitchen. The change in air pressure will directly affect the direction and speed of air flow, which is crucial for how effectively the range hood extracts pollutants. Under low air pressure conditions, pollutants may spread faster, requiring the range hood to have a stronger extraction and exhaust capacity; while in high air pressure situations, it is necessary to adjust appropriately to maintain a stable exhaust effect. Therefore, through the data feedback of the air pressure sensor, the range hood can dynamically optimize its operating parameters to ensure efficient operation.

[0040] Integrating the data of these sensors into a preset prediction model of the range hood operating parameters can help calculate the optimal target power and target time, enabling the range hood to not only flexibly respond in a complex and changeable environment but also significantly improve the energy efficiency ratio and reduce unnecessary energy consumption.

[0041] In one embodiment, after the range hood is turned on, the method further includes: detecting the status of the sensors; and when the status of the sensors is abnormal, reminding the user to replace the sensors with abnormal status.

[0042] As the core component of the intelligent range hood, the sensors are responsible for real-time collection of key data including pollutant concentrations, ambient temperature, and air pressure. These data are crucial for dynamically adjusting the operating parameters of the range hood to achieve the best decontamination effect and energy-saving goals. If the sensors malfunction or their accuracy decreases, it will directly affect the range hood's judgment of the current environmental conditions, possibly resulting in incomplete decontamination or unnecessary high-energy consumption operation. To ensure that the range hood can continuously and accurately monitor the kitchen environment parameters and maintain high working performance, after the range hood is turned on, it is necessary to detect the status of the sensors and remind the user to replace them when the sensor status is abnormal.

[0043] Exemplarily, multiple pollutant sensors, temperature sensors, and air pressure sensors with a distributed setting each undertake specific monitoring tasks. Once a sensor fails, for example, if the pollutant sensor cannot correctly read the pollution level, it may cause the range hood to fail to respond to changes in air quality in a timely manner; inaccurate temperature sensors may cause the range hood to operate at an inappropriate power, affecting the dehumidification or heating efficiency; while incorrect readings from the air pressure sensor may cause the range hood to be unable to effectively discharge pollutants. Therefore, checking the sensor status after the range hood is turned on and promptly detecting abnormalities are the basis for ensuring the normal operation of the system. When an abnormal sensor status is detected, by reminding the user to replace the problematic sensor, operational errors or inefficiencies caused by inaccurate data can be avoided. This not only helps to maintain the best performance of the range hood but also extends the service life of the device and reduces additional losses caused by long-term inefficient operation. In addition, this self-diagnosis and early warning mechanism improves the user experience, makes maintenance more convenient, and reduces the time and cost for users to troubleshoot faults.

[0044] In one embodiment, after the range hood is turned on, the method further includes: When the status of the pollutant sensor is abnormal, obtain the detection data of multiple normal-status pollutant sensors adjacent to the abnormal-status pollutant sensor and calculate the average value as the data of the abnormal-status pollutant sensor.

[0045] To ensure that the range hood can continuously and accurately monitor the kitchen air quality and maintain efficient working performance, when the pollutant sensor status is abnormal, the practice of using the detection data of multiple adjacent normal-status pollutant sensors and calculating the average value as its substitute data can be adopted. This processing method is based on the principles of spatial continuity and environmental consistency, that is, it is assumed that within a relatively small space range (such as different positions of the range hood), there will be no extreme differences in the change of pollutant concentration parameters. Therefore, the data of adjacent sensors can reasonably reflect the real situation of the location where the abnormal-status sensor is located.

[0046] Exemplarily, this method can provide a reliable estimated value in the case of sensor failure or inaccurate readings, avoiding the inaccuracy of the overall detection system caused by the failure of a single sensor. For example, if the pollutant sensor at a certain key position fails, directly resulting in the inability to correctly evaluate the pollution level in this area, it may cause improper operation of the range hood, such as failure to start strong exhaust in a timely manner or excessive operation resulting in energy waste. By using the data of adjacent sensors for supplementation, this defect can be effectively made up, enabling the range hood to still adjust its working mode based on relatively accurate information. The method of calculating the average value not only considers the data of a single adjacent point but also comprehensively takes into account the influence of multiple surrounding points, further improving the accuracy of the estimation. This method helps to smooth out local abnormal fluctuations and reduce errors caused by accidental factors (such as transient air flow disturbances).

[0047] In the long run, this method not only enhances the robustness and fault tolerance of the system, but also provides buffer time for maintenance work. Users can arrange for replacement after receiving a reminder of the pollutant sensor failure. During this period, the range hood can still operate efficiently based on reasonable estimated data. In short, using the data of adjacent normal sensors to compensate for the abnormally functioning sensors is one of the important strategies to ensure the intelligent management of the range hood, reflecting the continuous progress of modern household appliance technology in improving product reliability and user experience. This helps create a healthier, more comfortable and energy-efficient kitchen environment.

[0048] Step 103: Control the range hood to operate according to the target power and target time required for range hood decontamination until the preset cleanliness condition is met, and then turn off the range hood.

[0049] Controlling the range hood to operate according to the target power and target time required for range hood decontamination until the preset cleanliness condition is met and then turning off the range hood is a key strategy for achieving efficient, energy-saving and intelligent operation. This method is based on real-time monitored data such as pollutant concentration, ambient temperature, air pressure, etc. By presetting a range hood operation parameter prediction model, the optimal working parameters (target power and target time) are calculated to ensure that the range hood can operate in the most suitable way under different pollution levels and environments. This can not only quickly and effectively remove the lampblack, steam and other harmful gases generated during cooking, but also avoid the problems of low efficiency or energy waste caused by insufficient power or excessive operation of traditional fixed-gear range hoods.

[0050] Setting the preset cleanliness condition as the standard for stopping work means that the range hood will automatically turn off only when the kitchen air quality reaches a safe and healthy level. This not only protects the health of users and reduces the potential health risks such as respiratory diseases that may be brought about by long-term exposure to polluted air, but also improves the user experience. Users can enjoy fresh air without manual intervention, simplifying the operation process.

[0051] In the long run, this intelligent control strategy based on actual needs helps to extend the service life of the range hood because it avoids the wear and tear caused by long-term high-load operation of the equipment. At the same time, through continuous analysis and learning of the operation data, the system can continuously optimize its algorithm model to further improve its performance. In short, precisely controlling the operation of the range hood according to the target power and target time required for range hood decontamination and automatically turning it off when the preset cleanliness condition is met is an important means to achieve efficient, energy-saving, environmental protection and intelligent management, reflecting the great potential of modern household appliance technology in improving the quality of life and environmental protection.

[0052] In one embodiment, step 103 may include the following sub-steps: Sub-step S31: Obtain the pollutant concentrations detected by multiple distributed pollutant sensors after the target operating time of the range hood is obtained. Obtaining the pollutant concentrations detected by multiple distributed pollutant sensors after the target operating time of the range hood is obtained is to ensure that the range hood can dynamically adjust its operating state according to the real-time air quality, achieving the best decontamination effect and energy utilization efficiency. First of all, by monitoring the pollutant concentrations at different locations, the pollution distribution and its change trend in the kitchen can be comprehensively understood. Since the fumes, steam and other harmful gases generated during the cooking process are not evenly distributed but may show local aggregation, it is difficult to accurately reflect the air quality status of the entire space relying only on the data of a single sensor. Multi-point monitoring can provide more detailed information, helping the range hood to more accurately locate the pollution source and take targeted measures for removal. Continuing to monitor the pollutant concentrations after determining the target operating time of the range hood can evaluate whether the current operating mode is effective and further measures can be taken according to its effectiveness.

[0053] Continuously monitoring the pollutant concentrations also helps to verify the accuracy of the preset prediction model of the range hood operating parameters. By comparing the relationship between the set target power and time and the actual reduction of pollutants, the model algorithm can be continuously optimized to make it more in line with the actual situation. This not only improves the working efficiency of the range hood but also provides a healthier, more comfortable and energy-efficient kitchen environment for users.

[0054] Sub-step S32: When the pollutant concentration is lower than or equal to the preset concentration threshold, turn off the range hood.

[0055] Turning off the range hood when the pollutant concentration is lower than or equal to the preset concentration threshold is one of the important strategies for achieving efficient, energy-saving and intelligent management. This method is based on the real-time monitored air quality data to ensure that the range hood can stop running in time after the kitchen environment reaches the safety and health standards. The preset concentration threshold is usually set to a safety level that can ensure the indoor air quality is harmless to the human body. Once it is detected that the pollutant concentration drops below this threshold, it means that the current air pollution has been effectively controlled. Continuing to run the range hood is not only unnecessary but may also cause energy waste and unnecessary equipment wear.

[0056] Exemplarily, by precisely monitoring the change in pollutant concentration, the working state of the range hood can be dynamically adjusted, avoiding the problems of over - operation or under - operation that may occur in the traditional fixed - gear mode. For example, at the initial stage of cooking when the pollutant concentration is high, the range hood will work at a high power to quickly remove harmful gases; as the pollutants gradually decrease after the working target time of the range hood but do not reach the preset concentration threshold, the range hood can determine the target power and target time for the next operation based on the pollutant concentration data after the working target time, and stop working until the preset concentration threshold is reached. When the pollutants reach the preset concentration threshold after the working target time of the range hood, it stops working. This way of adjusting operations according to actual needs not only improves the decontamination efficiency but also significantly reduces energy consumption, contributing to energy conservation and emission reduction. In addition, the practice of deciding whether to turn off the range hood based on the pollutant concentration can also extend the service life of the equipment. Unnecessary long - term operation will accelerate the wear of the internal components of the range hood, increase maintenance costs and shorten the equipment life. On the contrary, reasonable control of the operation time can effectively reduce such losses and keep the range hood in a long - term stable working performance. From the perspective of user experience, this method simplifies the user's operation steps, allowing them to enjoy a clean and healthy kitchen environment without manual intervention, improving the convenience and comfort of use.

[0057] This method reflects the development direction of modern smart home technology, that is, to achieve refined management of household appliances through intelligent sensors and automated control systems. It can not only improve the quality of family life but also contribute to the practice of environmental protection concepts, reducing energy consumption and environmental pollution.

[0058] The embodiment of the present invention provides a method for controlling a range hood. By obtaining the detection data after the range hood is turned on, the detection data includes pollutant information, environmental temperature, and environmental pressure at multiple positions of the range hood at the current moment; according to the detection data, determine the target power and target time required for the range hood to remove pollutants; according to the target power and target time required for the range hood to remove pollutants, control the range hood to work until the preset cleanliness condition is met, and then turn off the range hood. By obtaining the pollutant information, environmental temperature, and environmental pressure at multiple positions of the range hood at the current moment, the embodiment of the present invention can accurately determine the target power and target time required for the range hood to remove pollutants, and precisely control the operation of the range hood according to the target power and target time, effectively reducing the energy consumption of the range hood for decontamination and optimizing the user experience.

[0059] It should be noted that for the method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the embodiments of the present invention are not limited by the described action sequence, because according to the embodiments of the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions involved are not necessarily essential for the embodiments of the present invention.

[0060] Refer to Figure 2 , which shows a structural block diagram of a range hood control device provided by an embodiment of the present invention. Specifically, it may include the following modules: The first acquisition module 201 is used to acquire the detection data after the range hood is turned on. The detection data includes pollutant information at multiple positions of the range hood at the current moment, ambient temperature, and ambient air pressure; The first determination module 202 is used to determine the target power and target time required for the range hood to remove dirt according to the detection data; The first control module 203 is used to control the operation of the range hood according to the target power and target time required for the range hood to remove dirt, and turn off the range hood until the preset cleanliness condition is met.

[0061] In one embodiment, the first determination module includes: The first determination sub-module is used to input the detection data into a preset range hood operation parameter prediction model to obtain the target power and target time required for the range hood to remove dirt output by the preset range hood operation parameter prediction model.

[0062] In one embodiment, the device further includes: a model training module, and the model training module is used to train the preset range hood operation parameter prediction model in the following manner: Obtain a sample data set and the actual power and actual time required for the range hood to remove dirt corresponding thereto; the sample data set is pollutant information, ambient temperature, and ambient air pressure at multiple positions of the range hood at multiple moments; Input the sample data set and the actual power and actual time required for the range hood to remove dirt corresponding thereto into the preset range hood operation parameter prediction model to obtain the corresponding target power and target time output by the preset range hood operation parameter prediction model; When it is determined that the preset training stop condition is met according to the actual power, actual time, the target power, and the target time, obtain the preset range hood operation parameter prediction model.

[0063] In one embodiment, the range hood is provided with sensors, and the sensors include: a plurality of pollutant sensors, a temperature sensor, and a pressure sensor that are distributed; The detection data includes pollutant information detected by a plurality of pollutant sensors distributed on the range hood, ambient temperature detected by the temperature sensor, and ambient air pressure detected by the pressure sensor.

[0064] In one embodiment, the device further includes: a first detection module, and the first detection module is used to detect the status of the sensors after the range hood is turned on; when the status of the sensors is abnormal, remind the user to replace the sensors with abnormal status.

[0065] In one embodiment, the device further includes: a second detection module, configured to, after the range hood is turned on, when the status of the pollutant sensor is abnormal, obtain and average the detection data of multiple normal-status pollutant sensors adjacent to the abnormal-status pollutant sensor, and use the average value as the data of the abnormal-status pollutant sensor.

[0066] In one embodiment, the first control module includes: A first acquisition sub-module, configured to acquire the pollutant concentrations detected by the multiple distributed pollutant sensors after the target working time of the range hood; A first shutdown sub-module, configured to turn off the range hood when the pollutant concentration is lower than or equal to a preset concentration threshold.

[0067] For the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For related parts, refer to the corresponding descriptions in the method embodiment.

[0068] The embodiment of the present invention provides a range hood control method. By acquiring the detection data after the range hood is turned on, the detection data includes pollutant information, ambient temperature, and ambient air pressure at multiple positions of the range hood at the current moment; according to the detection data, determine the target power and target time required for the range hood to remove pollutants; according to the target power and target time required for the range hood to remove pollutants, control the operation of the range hood until the preset cleanliness condition is met, and then turn off the range hood. By acquiring the pollutant information, ambient temperature, and ambient air pressure at multiple positions of the range hood at the current moment, the embodiment of the present invention can accurately determine the target power and target time required for the range hood to remove pollutants, and precisely control the operation of the range hood according to the target power and target time, effectively reducing the energy consumption of the range hood for pollutant removal and optimizing the user experience.

[0069] The embodiment of the present invention further provides a range hood, including: It includes a processor, a memory, and a computer program stored on the memory and capable of running on the processor. When the computer program is executed by the processor, it implements each process of the above range hood control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0070] The embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by the processor, it implements each process of the above range hood control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0071] Each embodiment in this specification is described in a progressive manner. Each embodiment focuses on the differences from other embodiments. For the same or similar parts among the embodiments, refer to each other.

[0072] Those skilled in the art should understand that the embodiments of the present invention may be provided as a method, apparatus, or computer program product. Therefore, the embodiments of the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0073] The embodiments of the present invention are described with reference to the flowcharts and / or block diagrams of methods, terminal devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing terminal devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing terminal devices generate means for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0074] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0075] These computer program instructions can also be loaded onto a computer or other programmable data processing terminal device, so that a series of operation steps are executed on the computer or other programmable terminal device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable terminal device provide steps for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0076] Although the preferred embodiments of the embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they know the basic creative concepts. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the embodiments of the present invention.

[0077] Finally, it should also be noted that in this text, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or terminal device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or terminal device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or terminal device comprising the said element.

[0078] The above has introduced in detail a smoke machine control method and a smoke machine control device provided by the present invention. Specific examples are used in this text to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A range hood control method, characterized in that: The range hood is provided with sensors, the sensors comprising: a plurality of pollutant sensors, a temperature sensor and an air pressure sensor arranged in a distributed manner, and the method comprises: Acquire detection data after the range hood is turned on, the detection data including pollutant information detected by a plurality of pollutant sensors distributedly arranged on the range hood at the current moment, ambient temperature detected by a temperature sensor, and ambient air pressure detected by an air pressure sensor; Inputting the detection data into a preset range hood operating parameter prediction model to obtain the target power and target time required for decontamination of the range hood output by the preset range hood operating parameter prediction model; According to the target power and target time required for the range hood to remove dirt, the range hood is controlled to operate until a preset clean condition is met, and then the range hood is turned off.

2. The range hood control method according to claim 1, characterized in that: The training method of the preset range hood operation parameter prediction model is as follows: Acquire a sample data set and the actual power and actual time required for the corresponding range hood to remove pollutants; the sample data set includes pollutant information, ambient temperature and ambient air pressure at multiple locations of the range hood at multiple times; Input the sample data set and the actual power and actual time required for the corresponding range hood decontamination into a preset range hood operation parameter prediction model to obtain a target power and target time corresponding to the output of the preset range hood operation parameter prediction model; When it is determined that the preset training stop condition is met based on the actual power, the actual time, the target power and the target time, a preset range hood operating parameter prediction model is obtained.

3. The range hood control method according to claim 1, characterized in that: After the range hood is turned on, the method further comprises: detecting a state of the sensor; When the state of the sensor is abnormal, the user is reminded to replace the sensor with the abnormal state.

4. The range hood control method according to claim 3, characterized in that: After the range hood is turned on, the method further comprises: When the state of the pollutant sensor is abnormal, detection data of a plurality of pollutant sensors in normal states adjacent to the pollutant sensor in the abnormal state are acquired and averaged to serve as the data of the pollutant sensor in the abnormal state.

5. The range hood control method according to claim 1, characterized in that: The method of turning off the range hood when the preset clean condition is met includes: Acquiring the pollutant concentration detected by the plurality of pollutant sensors arranged in a distributed manner after the range hood operates for a target time; When the pollutant concentration is lower than or equal to a preset concentration threshold, the range hood is turned off.

6. A range hood control device, characterized in that: The range hood is provided with sensors, which include: a plurality of pollutant sensors, a temperature sensor and an air pressure sensor arranged in a distributed manner, and the device includes: A first acquisition module is used to acquire detection data after the range hood is turned on, wherein the detection data includes pollutant information detected by a plurality of pollutant sensors distributedly arranged on the range hood at the current moment, ambient temperature detected by a temperature sensor, and ambient air pressure detected by an air pressure sensor; A first determination module, used to determine the target power and target time required for the range hood to remove dirt based on the detection data; A first control module, used for controlling the operation of the range hood according to the target power and target time required for the range hood to remove dirt, and then turning off the range hood when a preset clean condition is met; Wherein, the first determining module includes: The first determination submodule is used to input the detection data into a preset range hood operating parameter prediction model to obtain the target power and target time required for decontamination of the range hood output by the preset range hood operating parameter prediction model.

7. A range hood, characterized in that: include: A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the steps of the range hood control method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the range hood control method according to any one of claims 1 to 5 are implemented.

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