Range hood control method and device, range hood and storage medium

Abstract

The invention provides a control method and device of a smoke exhaust ventilator, the smoke exhaust ventilator and a storage medium, the method is applied to the field of household appliances, and the method comprises the following steps: displaying live parameters of the smoke exhaust ventilator in a display interface, the live parameters comprise smoke parameters, obtained based on a smoke sensor, of a space where the range hood is located, noise parameters, obtained based on a noise sensor, of the range hood, and rotating speed parameters, obtained based on a rotating speed sensor, of a draught fan of the range hood; a prediction curve corresponding to the smoke parameters is determined, the prediction curve is displayed on a display interface, and the prediction curve is a relation curve of the corresponding noise magnitude and the predicted smoke concentration under the different rotating speeds of the draught fan within the period time; and if adjusting parameters input by the user based on the actual condition parameters and the prediction curve are obtained, operation of the draught fan is controlled based on the adjusting parameters. The method improves the accuracy of adjusting the operation of the range hood.

Description

Technical Field

[0001] This application relates to the field of home appliances, and more specifically, to a control method, apparatus, range hood, and storage medium for a range hood in the field of home appliances. Background Technology

[0002] When using a range hood, users often need to adjust its operating parameters. For example, during stir-frying, they might increase the range hood's speed to prevent excessive kitchen fumes. However, adjusting these parameters inevitably leads to changes in other aspects. For instance, increasing the range hood's speed will increase its noise level. Users often struggle to find a balance between performance and optimal comfort when adjusting the range hood's operating parameters. Summary of the Invention

[0003] This application provides a control method, device, range hood, and storage medium for a range hood. The method enables users to know whether the range hood, operating based on their input adjustment parameters, meets their expected adjustment needs, thereby improving the accuracy of adjusting the range hood's operation.

[0004] Firstly, a control method for a range hood is provided, applied to a range hood. The range hood includes a control component, a smoke sensor, a noise sensor, and a speed sensor. The smoke sensor, noise sensor, and speed sensor are connected to the control component. The method includes: displaying real-time parameters of the range hood on a display interface, including smoke parameters of the space where the range hood is located based on the smoke sensor, noise parameters of the range hood based on the noise sensor, and fan speed parameters of the range hood based on the speed sensor; determining a prediction curve corresponding to the smoke parameters and displaying the prediction curve on the display interface, the prediction curve being a relationship curve between noise level and predicted smoke concentration at different fan speeds within a period of time; and if adjustment parameters input by the user based on the real-time parameters and the prediction curve are obtained, controlling the operation of the fan based on the adjustment parameters.

[0005] In this embodiment of the application, by displaying the real-time parameters of the range hood and the predicted curve determined based on the smoke parameters on the display interface, the user can know the current operating parameters of the range hood and the predicted smoke concentration corresponding to the input adjustment parameters when the user needs to adjust the range hood. Thus, the user can know whether the range hood operating based on the input adjustment parameters meets the user's expected adjustment needs, thereby improving the accuracy of adjusting the operation of the range hood.

[0006] Secondly, a control device for a range hood is provided, the device comprising:

[0007] The display unit is used to display the real-time parameters of the range hood on the display interface. The real-time parameters include the smoke parameters of the space where the range hood is located based on the smoke sensor, the noise parameters of the range hood based on the noise sensor, and the fan speed parameters of the range hood based on the speed sensor.

[0008] The determination unit is used to determine the prediction curve corresponding to the smoke parameters and display the prediction curve on the display interface. The prediction curve is the relationship curve between the noise level and the predicted concentration at different fan speeds within the cycle time.

[0009] The control unit is used to control the operation of the fan based on the adjustment parameters input by the user based on the actual parameters and the prediction curve.

[0010] Thirdly, a range hood is provided, comprising: a memory for storing executable program code; and a control component for calling and running the executable program code from the memory, causing the range hood to perform the method as described in the implementation of the first aspect above.

[0011] Fourthly, a computer program product is provided, comprising: computer program code, which, when run on a computer, causes the computer to perform the methods described in the first aspect or any possible implementation thereof.

[0012] Fifthly, a computer-readable storage medium is provided that stores computer program code, which, when executed on a computer, causes the computer to perform the methods described in the first aspect or any possible implementation thereof. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of the structure of a range hood provided in an embodiment of this application;

[0014] Figure 2 This is a flowchart illustrating a control method for a range hood provided in an embodiment of this application;

[0015] Figure 3 This is a schematic diagram of a control method for a range hood provided in an embodiment of this application;

[0016] Figure 4 This is a flowchart illustrating a control method for a range hood provided in an embodiment of this application;

[0017] Figure 5 This is a flowchart illustrating a control method for a range hood provided in an embodiment of this application;

[0018] Figure 6This is a schematic diagram of the structure of a control device for a range hood provided in an embodiment of this application;

[0019] Figure 7 This is a schematic diagram of the structure of a range hood provided in an embodiment of this application. Detailed Implementation

[0020] The technical solutions in this application will be clearly and thoroughly described below with reference to the accompanying drawings. In the description of the embodiments of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B. "And / or" in the text is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, in the description of the embodiments of this application, "multiple" refers to two or more than two.

[0021] Hereinafter, the terms "first" and "second" are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.

[0022] Figure 1 This is a schematic diagram of the structure of a range hood provided in an embodiment of this application.

[0023] The range hood includes components such as a control unit, a smoke sensor, a noise sensor, a speed sensor, a display screen, and a fan. The smoke sensor detects the initial smoke parameters in the space where the range hood is located; the noise sensor detects the initial noise parameters of the environment where the range hood is located when it is running, which, under ideal conditions, is considered the initial noise parameter of the range hood during operation; the speed sensor detects the initial speed parameter of the fan when the range hood is running; the display screen displays the parameters detected by the above sensors (including the smoke sensor, noise sensor, and speed sensor) during the operation of the range hood, and displays data (e.g., a prediction curve) obtained after processing the parameters obtained from the above sensors; the control unit is connected to the smoke sensor, noise sensor, speed sensor, fan, and display screen, respectively. It receives the initial smoke parameters, initial noise parameters, and initial speed parameters collected by the smoke sensor, noise sensor, and speed sensor, and can also process these parameters and display the processed data on the display screen interface.

[0024] Optionally, the range hood also includes a network connection module, which can connect to a mobile terminal (e.g., a smartphone, tablet) with the range hood's control program installed. This allows users to view the data obtained after parameter processing by the control component through the mobile terminal's display interface and adjust the range hood's operation.

[0025] In this embodiment of the application, by displaying the real-time parameters of the range hood and the predicted curve determined based on the smoke parameters on the display interface, the user can know the current operating parameters of the range hood and the predicted smoke concentration corresponding to the input adjustment parameters when the user needs to adjust the range hood. Thus, the user can know whether the range hood operating based on the input adjustment parameters meets the user's expected adjustment needs, thereby improving the accuracy of adjusting the operation of the range hood.

[0026] based on Figure 1 The structural diagram shown below will be combined with... Figures 2-7 The control method for the range hood provided in the embodiments of this application will be described in detail.

[0027] Please see Figure 2 This is a flowchart illustrating a control method for a range hood provided in an embodiment of this application. Figure 2 As shown, the method in this application embodiment may include the following steps S101-S103.

[0028] S101, Display the real-time parameters of the range hood on the display interface. The real-time parameters include the smoke parameters of the space where the range hood is located based on the smoke sensor, the noise parameters of the range hood based on the noise sensor, and the fan speed parameters of the range hood based on the speed sensor.

[0029] In one embodiment, the range hood displays real-time parameters on the interface. These real-time parameters can be actual operating data obtained from various sensors during the operation of the range hood. They include smoke parameters of the installation space of the range hood, noise parameters generated during the operation of the range hood, and rotation speed parameters of the range hood fan, all obtained from the range hood's smoke sensor, noise sensor, and speed sensor.

[0030] Understandably, the smoke sensor is primarily used to detect the concentration of cooking fumes in the space where the range hood is located (kitchen). It is installed below the range hood and away from the exhaust vent to ensure accurate detection of the fume concentration while avoiding interference from the exhaust. The noise sensor monitors the noise level of the range hood during operation and is installed near the hood's body, allowing for direct detection of operating noise. The speed sensor monitors the rotational speed of the range hood's fan and is installed on the fan shaft or a transmission component near the fan to accurately measure the fan's rotational speed.

[0031] Please refer to Figure 3 , Figure 3 This is a schematic diagram illustrating a control method for a range hood provided in an embodiment of this application. The display interface showing the real-time parameters of the range hood can be as follows: Figure 3 As shown.

[0032] In some implementations, the display interface can be the interface displayed on the range hood's screen when the control program for the range hood is running. Optionally, in this embodiment, the display interface can be displayed on the range hood's screen throughout the user's cooking process; or the display interface can be displayed when a user triggers a specified operation.

[0033] In other embodiments, the display interface may also be the display interface of a mobile terminal connected to the range hood, so that the user can remotely view the real-time parameters of the range hood and adjust its operation through the mobile terminal.

[0034] S102, determine the prediction curve corresponding to the smoke parameters, and display the prediction curve on the display interface. The prediction curve is the relationship curve between the noise level and the predicted smoke concentration under different fan speeds within the cycle time.

[0035] In one embodiment, after obtaining the smoke parameters, the prediction curve corresponding to the smoke parameters is obtained, and the prediction curve and the actual parameters are displayed on the display interface. The prediction curve is the relationship curve between the noise level and the predicted smoke concentration at different fan speeds within a period of time.

[0036] Optionally, in this embodiment, the prediction curve may include two curves, which can be established with the fan speed as the horizontal axis and the noise level and predicted smoke concentration as the vertical axes, respectively. The predicted smoke concentration can be predicted based on the smoke parameters obtained from the smoke sensor after the fan has been controlled according to the adjusted parameters for the fan's operating cycle time.

[0037] S103: If the adjustment parameters input by the user based on the actual parameters and the predicted curve are obtained, the operation of the fan is controlled based on the adjustment parameters.

[0038] In one embodiment, the user can determine the adjustment parameters by viewing the current real-time parameters of the range hood on the display interface. Based on the predicted curve, the user can determine the fan operation cycle time according to the adjustment parameters, and then, based on the smoke parameters obtained from the smoke sensor, judge whether it meets the expected adjustment structure, thereby determining whether to control the fan operation according to the adjustment parameters. The adjustment parameters refer to the parameters that change the fan's operation, and can be any one of smoke adjustment parameters, speed adjustment parameters, and noise adjustment parameters.

[0039] It is understandable that the relationship between noise level and fan speed is fixed, so the curve between noise and fan speed can be directly displayed on the display interface. However, the smoke parameters (predicted smoke concentration) obtained after controlling the fan to run according to the adjusted parameters within the cycle time are based on the current smoke parameters. Therefore, the curve between predicted smoke concentration and fan speed needs to be determined based on the current smoke parameters.

[0040] For example, please continue to see Figure 3 ,Depend on Figure 3 It can be seen that at the current moment, the smoke sensor, noise sensor, and speed sensor respectively collected the smoke parameters of the range hood as 150 μg / m3 (micrograms per cubic meter), the noise parameter as 45 dB (decibels), and the speed parameter as 2500 rpm (revolutions per minute). The correspondence between the noise level and the speed of different fans is shown in curve 1. The correspondence between the speed of different fans and the predicted smoke concentration within the period determined by the control component based on the current smoke parameter of 150 μg / m3 is shown in curve 2. The prediction curve includes curve 1 and curve 2. For example, if a user determines that the current noise level is high and needs to reduce it to 20dB, curve 1 shows that the fan speed corresponding to this reduction is 1000rpm. Curve 2, corresponding to a smoke level of 150μg / m³, shows that after the fan rotates at 1000rpm for a certain period, the predicted smoke concentration is 320μg / m³. Since the user needs to remain in the space where the range hood is located, it's determined that while maintaining a lower noise level, the space around the range hood needs to be kept relatively low. Therefore, reducing the noise level to 20dB does not meet the user's comfort requirements. Furthermore, the prediction curve shows that when the noise level is reduced to 30dB, the predicted smoke concentration corresponding to the fan speed (1500rpm) is 180μg / m³, which is within the acceptable range. Therefore, the adjustment parameter can be input to control the fan to operate at 1500rpm.

[0041] It is understood that, in this embodiment of the application, by displaying the real-time parameters on the display interface, the user can know the current real-time parameters of the range hood based on the display interface, thus avoiding the input of incorrect adjustment parameters without knowing the real-time parameters. Furthermore, by displaying the prediction curve on the display interface, the user can know whether the expected effect of the range hood operation after controlling the fan operation according to the input adjustment parameters meets their expected needs. If it is determined that the desired effect is met, the user can input the adjustment parameters on the display interface.

[0042] Optionally, in this embodiment, after the user inputs the adjustment parameters, if the time after inputting the adjustment parameters without receiving a change operation from the user reaches a preset time, it can be determined that the user clearly needs to modify according to the adjustment parameters, and the step of controlling the operation of the fan based on the adjustment parameters can be executed.

[0043] In this embodiment of the application, by displaying the real-time parameters of the range hood and the predicted curve determined based on the smoke parameters on the display interface, the user can know the current operating parameters of the range hood and the predicted smoke concentration corresponding to the input adjustment parameters when the user needs to adjust the range hood. Thus, the user can know whether the range hood operating based on the input adjustment parameters meets the user's expected adjustment needs, thereby improving the accuracy of adjusting the operation of the range hood.

[0044] Please see Figure 4 This is a flowchart illustrating a control method for a range hood provided in this application. Figure 4 As shown, the method in this application embodiment may include the following steps S201-S205.

[0045] S201, Display the real-time parameters of the range hood on the display interface. The real-time parameters include the smoke parameters of the space where the range hood is located based on the smoke sensor, the noise parameters of the range hood based on the noise sensor, and the fan speed parameters of the range hood based on the speed sensor.

[0046] Specifically, for the specific method of displaying the real-time parameters of the range hood, please refer to the description of step S101 in the above-mentioned embodiment of the instruction manual, which will not be repeated here.

[0047] S202, In the curve dataset, the curve whose smoke value is consistent with the smoke parameter is identified as the prediction curve. There are curves corresponding to different smoke values ​​in the curve dataset.

[0048] In one embodiment, after obtaining the smoke parameters, the curve in the curve dataset that matches the smoke parameter is identified as the predicted curve. The curve dataset contains curves corresponding to each smoke value. This is achieved experimentally by changing the fan speed when the smoke value is constant (e.g., 150 μg / m³), and re-acquiring the smoke values ​​at different fan speeds at the end of the cycle time, generating a curve for that smoke value (e.g., 150 μg / m³). Then, the smoke value is changed, and the above steps are repeated to obtain curves corresponding to different smoke values, thus creating a curve dataset composed of curves corresponding to different smoke values.

[0049] S203, if the smoke adjustment parameters input by the user based on the actual parameters and the prediction curve are obtained, the target speed corresponding to the smoke adjustment parameters is determined based on the prediction curve, and the fan is controlled to run at the target speed;

[0050] In one embodiment, if the adjustment parameter input by the user based on the actual parameters and the prediction curve is a smoke adjustment parameter, then the fan is controlled to run at the target speed by means of the target speed corresponding to the smoke adjustment parameter and the prediction curve.

[0051] For example, if the user inputs a smoke adjustment parameter of 180 μg / m3, it is determined that the user needs to adjust the current smoke parameter according to the input smoke adjustment parameter. That is, based on the prediction that the smoke concentration will reach the smoke adjustment parameter after the fan is adjusted, the target fan speed corresponding to the smoke adjustment is determined to be 1500 rpm based on the relationship curve between the predicted smoke concentration and the fan speed (curve 2) in the prediction curve.

[0052] S204, if the noise adjustment parameters input by the user based on the actual parameters and the prediction curve are obtained, the target speed corresponding to the noise adjustment parameters is determined based on the prediction curve, and the fan is controlled to run at the target speed;

[0053] In one embodiment, if the adjustment parameter input by the user based on the actual parameters and the prediction curve is a noise adjustment parameter, then the fan is controlled to run at the target speed by using the prediction curve and the target speed corresponding to the noise adjustment parameter.

[0054] For example, if the user inputs a smoke adjustment parameter of 30dB, and it is determined that the user needs to adjust the current noise parameter according to the input smoke adjustment parameter, then based on the relationship curve between the noise level and the fan speed in the prediction curve (curve 1), the target fan speed corresponding to the smoke adjustment is determined to be 1500rpm.

[0055] S205: If the speed adjustment parameter input by the user based on the actual parameters and the predicted curve is the target speed, control the fan to run at the target speed.

[0056] In one embodiment, if the user inputs the adjustment parameter based on the actual parameters and the predicted curve as the speed adjustment parameter, the speed adjustment parameter is determined as the target speed, and the fan is controlled to run at the target speed.

[0057] For example, if the user inputs a speed adjustment parameter of 1500 rpm, the fan will be controlled to run at the target speed of 1500 rpm.

[0058] In this embodiment, by determining the target speed corresponding to the smoke adjustment parameters, noise adjustment parameters, and speed adjustment parameters input by the user, the fan is controlled to run at the target speed. This allows the fan speed to be controlled based on any one of the user-input smoke adjustment parameters, noise adjustment parameters, and speed adjustment parameters, improving the convenience of adjusting the fan speed. Furthermore, by determining the prediction curve corresponding to the smoke parameters through the curve dataset, the prediction curve corresponding to the currently obtained smoke parameters can be accurately obtained, improving the accuracy of the obtained prediction curve.

[0059] Please see Figure 5 This is a flowchart illustrating a control method for a range hood provided in this application. Figure 5 As shown, the method in this application embodiment may include the following steps S301-S305.

[0060] S301, acquire the initial smoke parameters of the space where the range hood is located as detected by the smoke sensor, the initial noise parameters of the range hood as detected by the noise sensor, and the initial speed parameters of the range hood fan as detected by the speed sensor.

[0061] In one embodiment, the initial smoke parameters, initial noise parameters, and initial rotational speed parameters can be detected by the installed smoke sensor, noise sensor, and rotational speed sensor, respectively. It is understood that the initial smoke parameters, initial noise parameters, and initial rotational speed parameters refer to parameters directly obtained through the smoke sensor, noise sensor, and rotational speed sensor, respectively.

[0062] S302, perform mean filtering on the initial smoke data, initial noise parameters, and initial rotational speed parameters to obtain the smoke parameters, noise parameters, and rotational speed parameters; or,

[0063] It is understandable that obtaining the initial smoke parameters, initial noise parameters, and initial speed parameters directly from the smoke sensor, noise sensor, and speed sensor is subject to environmental influences and may result in deviations. Therefore, in this embodiment, the initial smoke data, initial noise parameters, and initial speed parameters are subjected to mean filtering to obtain the smoke parameters, noise parameters, and speed parameters.

[0064] For example, the noise parameters and initial rotational speed parameters are subjected to mean filtering to obtain smoke parameters, noise parameters, and rotational speed parameters. The noise parameters are used as an example for illustration. In this embodiment, the initial noise parameters are 31, 35, 36, 40, 35, and 40. The window size for mean filtering is 4, resulting in noise parameters of 35.5, 36.5, and 37.75 after mean filtering. Optionally, when multiple noise parameters are obtained, the average value among these parameters can be determined as the noise parameter displayed on the display interface.

[0065] S303, perform median filtering on the initial smoke data, initial noise parameters and initial rotation speed parameters to obtain smoke parameters, noise parameters and rotation speed parameters;

[0066] For example, median filtering is applied to noise parameters and initial rotational speed parameters to obtain smoke parameters, noise parameters, and rotational speed parameters. The noise parameters are used as an example for illustration. In this embodiment, the initial noise parameters are 31, 35, 36, 40, 35, and 40. The window size for median filtering is 3, resulting in noise parameters of 35, 36, 36, and 40 after median filtering. Optionally, when multiple noise parameters are obtained, the median value among these parameters can be determined as the noise parameter displayed on the display interface; that is, the noise parameter displayed on the display interface is determined to be 36.

[0067] S304, Display the real-time parameters of the range hood on the display interface. The real-time parameters include the smoke parameters of the space where the range hood is located based on the smoke sensor, the noise parameters of the range hood based on the noise sensor, and the fan speed parameters of the range hood based on the speed sensor.

[0068] S305, determine the prediction curve corresponding to the smoke parameters, and display the prediction curve on the display interface. The prediction curve is the relationship curve between the noise level and the predicted smoke concentration at different fan speeds within the cycle time.

[0069] Specifically, for the specific method of determining the prediction curve corresponding to the smoke parameters, please refer to the description of steps S101-S102 in the above-described embodiment of the specification, which will not be repeated here.

[0070] S306, Statistics on the duration for which adjustment parameters were not obtained;

[0071] S307 If the duration reaches the preset duration, the target speed of the fan is determined based on the noise parameters, smoke parameters, and prediction curve, and the fan is controlled to rotate at the target speed.

[0072] In one embodiment, after displaying the prediction curve on the display interface, the duration during which no user input adjustment parameters are received is counted. When the duration reaches a preset duration, the system automatically enters the intelligent mode, determines the target speed of the fan through noise parameters, smoke parameters, and the prediction curve, and then controls the fan rotation according to the target speed.

[0073] Optionally, in this embodiment, when the smoke parameter is greater than the smoke threshold and the noise parameter is less than the noise threshold, it is determined that the smoke parameter needs to be adjusted first. A target rotational speed corresponding to the noise threshold is determined in the prediction curve, and the fan rotation is controlled according to this target rotational speed. Optionally, the smoke threshold can be a smoke value that affects user health; for example, it can be 360 ​​μg / m³. The noise threshold can be a volume value that affects the user's normal leisure activities within a certain range; it can be 50 dB.

[0074] Furthermore, in this embodiment, the adjustment control parameters can also be stored in the range hood's memory, so that if the range hood experiences a sudden power outage, the stored control parameters can be directly called to control the operation of the range hood's fan.

[0075] In this embodiment, the initial smoke data, initial noise parameters, and initial speed parameters are processed by median filtering or mean filtering to obtain the smoke parameters, noise parameters, and speed parameters. This avoids the presence of environmentally influenced parameters in the smoke parameters, noise parameters, or speed parameters, which could affect user judgment and improve the accuracy of user judgment. Furthermore, if no user-inputted adjustment parameters are received within a preset time, the fan speed can be automatically adjusted based on the acquired real-time parameters and prediction curves, improving the intelligence of the range hood. Moreover, by storing control parameters, the range hood can be directly controlled according to the stored control parameters when it is powered on again, further improving the intelligence of range hood operation control.

[0076] based on Figure 1 The structural diagram is shown below, in conjunction with... Figure 6 This application provides a detailed description of the control device for a range hood provided in the embodiments. It should be noted that... Figure 6 The control device of the range hood in the present application is used to perform the functions described herein. Figures 2-5 The methods shown in the embodiments are for illustrative purposes only, illustrating the parts relevant to the embodiments of this application. For specific technical details not disclosed, please refer to this application. Figures 2-5 The illustrated embodiment. Specifically, the control device 1 of the range hood includes: a display unit 11, a determination unit 12, and a control unit 13.

[0077] The display unit 11 is used to display the real-time parameters of the range hood on the display interface. The real-time parameters include the smoke parameters of the space where the range hood is located based on the smoke sensor, the noise parameters of the range hood based on the noise sensor, and the fan speed parameters of the range hood based on the speed sensor.

[0078] The determining unit 12 is used to determine the prediction curve corresponding to the smoke parameters and display the prediction curve on the display interface. The prediction curve is the relationship curve between the noise level and the predicted concentration at different fan speeds within the cycle time.

[0079] The control unit 13 is used to control the operation of the fan based on the adjustment parameters input by the user based on the actual parameters and the prediction curve.

[0080] Optionally, the control unit 13 includes: a first control subunit 131, a second control subunit 132, and a third control subunit 133.

[0081] The first control subunit 131 is used to determine the target speed corresponding to the smoke adjustment parameter based on the prediction curve if the adjustment parameter is a smoke adjustment parameter, and control the fan to run at the target speed.

[0082] The second control subunit 132 is used to determine the target speed corresponding to the noise adjustment parameter based on the prediction curve if the adjustment parameter is a noise adjustment parameter, and control the fan to run at the target speed.

[0083] The third control subunit 133 is used to determine the speed adjustment parameter as the target speed if the adjustment parameter is a speed adjustment parameter, and control the fan to run at the target speed.

[0084] Optionally, the determining unit 12 includes: a first determining subunit 121.

[0085] The first determining subunit 121 determines the curve in the curve dataset that has the same smoke value as the smoke parameter as the prediction curve. The curve dataset contains curves corresponding to different smoke values.

[0086] Optionally, the display unit 11 is also used for:

[0087] The system acquires the initial smoke parameters of the space where the range hood is located, detected by the smoke sensor; the initial noise parameters of the range hood, detected by the noise sensor; and the initial fan speed parameters of the range hood, detected by the speed sensor.

[0088] The initial smoke data, initial noise parameters, and initial rotational speed parameters are processed by mean filtering to obtain the smoke parameters, noise parameters, and rotational speed parameters; or,

[0089] The initial smoke data, initial noise parameters, and initial rotational speed parameters are processed by median filtering to obtain the smoke parameters, noise parameters, and rotational speed parameters.

[0090] Optionally, the determining unit 12 is also used for:

[0091] The duration for which adjustment parameters were not obtained was recorded;

[0092] If the preset duration is reached, the target speed of the fan is determined based on noise parameters, smoke parameters, and prediction curves, and the fan is controlled to rotate at the target speed.

[0093] Optionally, the determining unit 12 is also used for:

[0094] If the smoke parameter is greater than the smoke threshold and the noise parameter is less than the noise threshold, then the noise parameter is increased to the noise threshold, and the target rotational speed corresponding to the noise threshold is obtained from the prediction curve.

[0095] Optionally, the control unit 13 is also used for:

[0096] Store and adjust control parameters.

[0097] In this embodiment of the application, by displaying the real-time parameters of the range hood and the predicted curve determined based on the smoke parameters on the display interface, the user can know the current operating parameters of the range hood and the predicted smoke concentration corresponding to the input adjustment parameters when the user needs to adjust the range hood. Thus, the user can know whether the range hood operating based on the input adjustment parameters meets the user's expected adjustment needs, thereby improving the accuracy of adjusting the operation of the range hood.

[0098] Please see Figure 7 The diagram below provides a structural schematic of a range hood according to an embodiment of this application. Figure 7 As shown, the range hood 500 includes a control component 501 and a memory 502. The control component 501 and the memory 502 are electrically connected.

[0099] The control component 501 is the control center of the range hood 500 and may include one or more processing cores. The control component 501 connects to various parts of the range hood 500 using various interfaces and lines. By running or calling computer programs stored in the memory 502, and by calling data stored in the memory 502, it executes various functions and processes data of the range hood 500, thereby providing overall control of the range hood 500. Optionally, the control component 501 can be implemented using at least one hardware form selected from Digital Signal Processing (DSP), Field Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The control component 501 may integrate one or more of the following: CPU, Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user page, and applications; the GPU is responsible for rendering and drawing the displayed content; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the control component 501 and may be implemented separately using a communication chip.

[0100] The memory 502 can be used to store software programs and modules. The control component 501 executes various functional applications and data processing by running the computer programs and modules stored in the memory 502. The memory 502 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, computer programs required for at least one function, etc.; the data storage area may store data created based on the use of the range hood 500, etc.

[0101] Furthermore, memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, memory 502 may also include a memory controller to provide control component 501 with access to memory 502.

[0102] In this embodiment, the control component 501 in the range hood 500 loads the instructions corresponding to the processes of one or more computer programs into the memory 502 according to the following steps, and the control component 501 runs the computer programs stored in the memory 502 to realize various functions, as follows:

[0103] The display interface shows the real-time parameters of the range hood, including the smoke parameters of the space where the range hood is located based on the smoke sensor, the noise parameters of the range hood based on the noise sensor, and the fan speed parameters of the range hood based on the speed sensor.

[0104] Determine the prediction curve corresponding to the smoke parameters and display the prediction curve on the display interface. The prediction curve is the relationship curve between the noise level and the predicted smoke concentration at different fan speeds within the cycle time.

[0105] If the adjustment parameters input by the user based on the actual parameters and the predicted curve are obtained, the operation of the fan will be controlled based on the adjustment parameters.

[0106] Optionally, when the control component 501 executes adjustments to parameters including smoke adjustment parameters, speed adjustment parameters, and noise adjustment parameters, and controls the operation of the fan based on these adjustments, it specifically performs the following:

[0107] If the adjustment parameter is the smoke adjustment parameter, then the target speed corresponding to the smoke adjustment parameter is determined based on the prediction curve, and the fan is controlled to run at the target speed;

[0108] If the adjustment parameter is a noise adjustment parameter, then the target speed corresponding to the noise adjustment parameter is determined based on the prediction curve, and the fan is controlled to run at the target speed;

[0109] If the adjustment parameter is the speed adjustment parameter, then the speed adjustment parameter is set to the target speed, and the fan is controlled to run at the target speed.

[0110] Optionally, when determining the prediction curve corresponding to the smoke parameters, the control component 501 specifically performs the following:

[0111] In the curve dataset, the curve whose smoke value matches the smoke parameter is the prediction curve. The curve dataset contains curves corresponding to different smoke values.

[0112] Optionally, before displaying the real-time parameters of the range hood in the user's currently viewed display interface, control component 501 also performs the following:

[0113] The system acquires the initial smoke parameters of the space where the range hood is located, detected by the smoke sensor; the initial noise parameters of the range hood, detected by the noise sensor; and the initial fan speed parameters of the range hood, detected by the speed sensor.

[0114] The initial smoke data, initial noise parameters, and initial rotational speed parameters are processed by mean filtering to obtain the smoke parameters, noise parameters, and rotational speed parameters; or,

[0115] The initial smoke data, initial noise parameters, and initial rotational speed parameters are processed by median filtering to obtain the smoke parameters, noise parameters, and rotational speed parameters.

[0116] Optionally, after determining the prediction curve corresponding to the smoke parameters and displaying the prediction curve on the display interface, the control component 501 also performs the following:

[0117] The duration for which adjustment parameters were not obtained was recorded;

[0118] If the preset duration is reached, the target speed of the fan is determined based on noise parameters, smoke parameters, and prediction curves, and the fan is controlled to rotate at the target speed.

[0119] Optionally, when the control component 501 determines the target speed of the fan based on noise parameters, smoke parameters, and prediction curves, it specifically performs the following:

[0120] If the smoke parameter is greater than the smoke threshold and the noise parameter is less than the noise threshold, then the noise parameter is increased to the noise threshold, and the target rotational speed corresponding to the noise threshold is obtained from the prediction curve.

[0121] Optionally, after executing the operation of the fan based on the adjustment parameters, the control component 501 also executes:

[0122] Store and adjust control parameters.

[0123] It should be understood that the device provided in this application embodiment is used to perform the control of the above-described range hood, and therefore can achieve the same effect as the above-described implementation method.

[0124] When using an integrated unit, the device may include a processing module and a storage module. Specifically, when the device is applied to a range hood, the processing module can be used to control and manage the operation of the range hood. The storage module can be used to support the range hood in executing relevant program code.

[0125] The processing module may be a control component or controller, which can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The control component may also be a combination of computing functions, such as a combination of one or more microcontroller components, a combination of digital signal processing (DSP) and microcontroller components, etc., and the storage module may be a memory.

[0126] In addition, the device provided in this application embodiment may specifically be a chip, component or module. The chip may include a connected control component and a memory. The memory is used to store instructions. When the control component calls and executes the instructions, the chip can execute a range hood control method provided in the above embodiment.

[0127] This application also provides a computer-readable storage medium storing computer program code. When the computer program code is run on a computer, the computer executes the above-described related method steps to implement the range hood control method provided in the above embodiments.

[0128] This embodiment also provides a computer program product. When the computer program product is run on a computer, it causes the computer to perform the above-mentioned related steps to realize the range hood control method provided in the above embodiment.

[0129] In this embodiment, the device, computer-readable storage medium, computer program product, or chip are all used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0130] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0131] In the embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0132] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A control method for a range hood, characterized in that, An application is made in a range hood, the range hood including a control component, a smoke sensor, a noise sensor, and a speed sensor, wherein the smoke sensor, noise sensor, and speed sensor are connected to the control component, and the method includes: The display interface shows the real-time parameters of the range hood, including the smoke parameters of the space where the range hood is located based on the smoke sensor, the noise parameters of the range hood based on the noise sensor, and the fan speed parameters of the range hood based on the speed sensor. Determine the prediction curve corresponding to the smoke parameters and display the prediction curve on the display interface. The prediction curve is the relationship curve between the noise level and the predicted smoke concentration at different fan speeds within a period of time. If the adjustment parameters input by the user based on the actual parameters and the predicted curve are obtained, the operation of the wind turbine is controlled based on the adjustment parameters.

2. The method according to claim 1, characterized in that, The adjustment parameters include smoke adjustment parameters, speed adjustment parameters, and noise adjustment parameters. Controlling the operation of the fan based on these adjustment parameters includes: If the adjustment parameter is the smoke adjustment parameter, then the target speed corresponding to the smoke adjustment parameter is determined based on the prediction curve, and the fan is controlled to run at the target speed. If the adjustment parameter is the noise adjustment parameter, then the target speed corresponding to the noise adjustment parameter is determined based on the prediction curve, and the fan is controlled to run at the target speed. If the adjustment parameter is a speed adjustment parameter, then the speed adjustment parameter is determined to be the target speed, and the fan is controlled to run at the target speed.

3. The method according to claim 1 or 2, characterized in that, Determining the prediction curve corresponding to the smoke parameters includes: The curve in the curve dataset that matches the smoke parameter is the predicted curve. The curve dataset contains curves corresponding to different smoke values.

4. The method according to claim 1, characterized in that, Before displaying the real-time parameters of the range hood on the user's current viewing interface, the method further includes: The initial smoke parameters of the space where the range hood is located are obtained by the smoke sensor, the initial noise parameters of the range hood are obtained by the noise sensor, and the initial speed parameters of the fan of the range hood are obtained by the speed sensor. The initial smoke data, the initial noise parameters, and the initial rotational speed parameters are subjected to mean filtering to obtain the smoke parameters, the noise parameters, and the rotational speed parameters; or, The initial smoke data, the initial noise parameters, and the initial rotation speed parameters are processed by median filtering to obtain the smoke parameters, the noise parameters, and the rotation speed parameters.

5. The method according to claim 1, characterized in that, After determining the prediction curve corresponding to the smoke parameters and displaying the prediction curve on the display interface, the process further includes: The duration for which the adjustment parameters were not obtained was recorded; If the duration reaches the preset duration, the target speed of the fan is determined based on the noise parameter, the smoke parameter, and the prediction curve, and the fan is controlled to rotate at the target speed.

6. The method according to claim 5, characterized in that, Determining the target rotational speed of the fan based on the noise parameters, the smoke parameters, and the predicted curve includes: If the smoke parameter is greater than the smoke threshold and the noise parameter is less than the noise threshold, then it is determined that the noise parameter should be increased to the noise threshold, and the target rotational speed corresponding to the noise threshold is obtained from the prediction curve.

7. The method according to claim 1, characterized in that, After controlling the operation of the fan based on the adjusted parameters, the method further includes: Store the adjustment control parameters.

8. A control device for a range hood, characterized in that, The device includes: The display unit is used to display the real-time parameters of the range hood on the display interface. The real-time parameters include the smoke parameters of the space where the range hood is located based on the smoke sensor, the noise parameters of the range hood based on the noise sensor, and the fan speed parameters of the range hood based on the speed sensor. The determining unit is used to determine the prediction curve corresponding to the smoke parameters and display the prediction curve on the display interface. The prediction curve is the relationship curve between noise level and predicted concentration at different fan speeds within a period of time. The control unit is configured to control the operation of the wind turbine based on the adjustment parameters input by the user based on the actual parameters and the prediction curve.

9. A range hood, characterized in that, The range hood includes: Memory, used to store executable program code; A control component for calling and running the executable program code from the memory, causing the range hood to perform the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program code that, when executed, implements the method as described in any one of claims 1 to 7.

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