Oil stain detection method of intelligent range hood and intelligent range hood

Abstract

The invention relates to an oil stain detection method of an intelligent range hood and the intelligent range hood, and is applied to the field of intelligent electric appliances. Sampling air ducts independent of a main air duct are arranged on the two sides of a box body of the intelligent range hood; a micro differential pressure sensor is arranged on the pipe wall of the sampling air duct; pressure points of the micro differential pressure sensor are respectively arranged at a bottom air inlet and a top air outlet of the sampling air duct; after the intelligent range hood is started, the micro differential pressure sensor is controlled to measure the air pressure difference between the bottom air inlet and the top air outlet of the sampling air duct; according to the air pressure difference, the current lampblack flow speed in the sampling air duct is determined; determining the oil contamination coverage rate of the sampling air duct based on the preset reference flow velocity and the current oil smoke flow velocity; the preset reference flow velocity is used for representing the monitored airflow velocity of the sampling air duct of the intelligent range hood in the non-greasy dirt coverage state, so that the problem of how to timely and accurately detect the greasy dirt accumulation condition in the intelligent range hood in the related technology is solved.

Description

Technical Field

[0001] This application relates to the field of smart appliances, and in particular to a method for detecting oil stains in a smart range hood and the smart range hood itself. Background Technology

[0002] With the improvement of people's living standards and the promotion and popularization of technologies such as the Internet, big data, artificial intelligence, and voice interaction, more and more traditional lifestyles are gradually changing, and the use of home appliances is gradually moving towards intelligence. While bringing more convenience to users, the functions of various home appliances are also becoming more diversified. Among them, the cleaning reminder function is popular among users because it can remind users to clean the interior of smart appliances in a timely manner, extend their service life, and has low operating costs. In recent years, this function has become increasingly popular in smart range hoods.

[0003] Currently, cleaning reminders for smart range hoods are generally based on usage time, reminding users to clean after a certain period. However, due to differences in user environments and cooking ingredients, the degree of grease buildup inside varies, sometimes resulting in a significant amount of grease buildup inside the hood without a cleaning reminder. Therefore, how to detect the grease buildup inside a smart range hood in a timely and accurate manner is an urgent problem to be solved.

[0004] There is currently no effective solution to the problem of how to detect the accumulation of oil stains inside smart range hoods in a timely and accurate manner in related technologies. Summary of the Invention

[0005] This embodiment provides a method for detecting oil stains in a smart range hood and a smart range hood itself, in order to solve the problem in related technologies of how to detect the accumulation of oil stains inside a smart range hood in a timely and accurate manner.

[0006] Firstly, this embodiment provides a method for detecting oil stains in a smart range hood. The method is applied to the smart range hood. The smart range hood has sampling ducts on both sides of its housing, independent of the main air duct. A micro differential pressure sensor is installed on the wall of the sampling duct. The pressure points of the micro differential pressure sensor are respectively located at the bottom air inlet and the top exhaust outlet of the sampling duct.

[0007] The method includes:

[0008] After the smart range hood is started, the micro differential pressure sensor is controlled to measure the air pressure difference in the sampling air duct; the air pressure difference is the air pressure difference between the bottom air inlet and the top exhaust outlet;

[0009] The current oil fume flow rate in the sampling duct is determined based on the pressure difference.

[0010] Based on a preset reference flow rate and the current oil fume flow rate, the oil stain coverage rate of the sampling duct is determined; the preset reference flow rate is used to characterize the airflow velocity of the sampling duct monitored by the smart range hood in a state without oil stain coverage.

[0011] In some embodiments, determining the oil coverage rate of the sampling duct based on a preset reference flow rate and the current oil fume flow rate includes:

[0012] Calculate the ratio of the reference flow rate to the current oil fume flow rate to obtain the flow rate ratio;

[0013] The change in cross-sectional area of ​​the sampling duct is determined based on the square of the flow rate ratio.

[0014] Based on the change in cross-sectional area, the oil stain coverage rate of the sampling air duct is determined.

[0015] In some embodiments, a heating module is provided at one end of the sampling air duct near the bottom air inlet, the heating module being used to compensate for the temperature inside the sampling air duct;

[0016] The control micro-differential pressure sensor measures the air pressure difference in the sampling duct, including:

[0017] After the smart range hood is started, the heating module is activated.

[0018] The temperature of the bottom air inlet of the sampling duct and the ambient temperature of the environment where the smart range hood is located are obtained.

[0019] If the temperature difference between the bottom air inlet and the ambient temperature exceeds a preset temperature difference, the micro differential pressure sensor is controlled to measure the air pressure difference in the sampling duct.

[0020] In some embodiments, determining the current oil fume flow rate in the sampling duct based on the pressure difference includes:

[0021] When the pressure difference exceeds a preset pressure difference value, the current oil fume flow rate of the sampling duct is determined based on the pressure difference and air density.

[0022] In some embodiments, an air quality sensor is also installed inside the sampling duct, the air quality sensor being used to collect the concentration of oil fume inside the sampling duct; the method further includes:

[0023] When the smart range hood is in a preset operating state, the heating module is activated; the preset operating state is the state in which there are no pollutants in the environment where the smart range hood is located.

[0024] The temperature of the bottom air inlet of the sampling duct and the ambient temperature of the environment where the smart range hood is located are obtained.

[0025] If the temperature difference between the bottom air inlet and the ambient temperature exceeds a preset temperature difference, the air quality sensor is used to collect the actual oil fume concentration in the sampling duct; the preset temperature difference is used to characterize that the airflow in the current sampling duct conforms to the chimney effect.

[0026] In some embodiments, the step of collecting the actual oil fume concentration value in the sampling duct using the air quality sensor includes:

[0027] If the temperature difference between the air inlet temperature and the ambient temperature exceeds a preset temperature difference value, the air quality sensor will be activated.

[0028] The original signal voltage of the air quality sensor during operation is collected;

[0029] The surface temperature of the air quality sensor is determined based on the original signal voltage.

[0030] Based on the oil fume concentration value measured by the air quality sensor in the sampling duct, and combined with the surface temperature of the air quality sensor, the actual oil fume concentration value in the sampling duct is determined.

[0031] In some embodiments, the method further includes:

[0032] If the actual oil fume concentration value exceeds the preset oil fume concentration value, the fan of the smart range hood will be activated; the preset oil fume concentration value is the oil fume concentration value of pollutants in the environment where the smart range hood is located.

[0033] If the actual oil fume concentration value exceeds the preset oil fume concentration value, the actual oil fume concentration value in the sampling duct will be continuously detected.

[0034] Secondly, this embodiment provides a smart range hood, which employs the oil stain detection method for smart range hoods as described in the first aspect to detect the cumulative amount of oil stains and the concentration of oil fumes in the smart range hood.

[0035] Thirdly, this embodiment provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the oil stain detection method for the intelligent range hood described in the first aspect.

[0036] Fourthly, this embodiment provides a storage medium storing a computer program that, when executed by a processor, implements the oil stain detection method for the intelligent range hood described in the first aspect.

[0037] Compared with related technologies, the oil stain detection method and intelligent range hood provided in this embodiment address the problem of how to detect the accumulation of oil stains inside intelligent range hoods in a timely and accurate manner. By setting up a sampling air duct inside the intelligent range hood and independently outside the main air duct, and detecting the oil fume flow velocity in the sampling air duct, it is beneficial to promptly detect high oil fume concentrations in the intelligent range hood, and further, to provide timely warnings of oil stain accumulation. Simultaneously, the oil fume flow velocity in the sampling air duct is determined based on the air pressure difference between the air inlet and outlet. Since the oil fume flow velocity in the sampling air duct is related to the volume of gas flow, i.e., related to the cross-sectional area of ​​the sampling air duct, the oil stain coverage rate of the sampling air duct can be determined based on the oil fume flow velocity, and then the oil stain coverage inside the intelligent range hood can be inferred, achieving accurate and efficient detection of oil stain accumulation inside the range hood.

[0038] Details of one or more embodiments of this application are set forth in the following drawings and description to make other features, objects and advantages of this application more readily apparent. Attached Figure Description

[0039] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0040] Figure 1 This is a hardware structure block diagram of the terminal of the oil stain detection method for an intelligent range hood provided in the embodiments of this application;

[0041] Figure 2 This is a schematic diagram of the intelligent range hood provided in the embodiments of this application;

[0042] Figure 3 This is a side view of the intelligent range hood provided in the embodiment of this application;

[0043] Figure 4 This is a schematic diagram of the sampling air duct provided in an embodiment of this application;

[0044] Figure 5 This is a schematic diagram of the actual sampling duct provided in the embodiments of this application;

[0045] Figure 6 This is a flowchart of the oil stain detection method for an intelligent range hood provided in the embodiments of this application;

[0046] Figure 7 This is a flowchart of the oil pollution accumulation detection method provided in this specific embodiment.

[0047] Reference numerals: 100, Intelligent range hood; 10, Housing; 20, Sampling air duct; 21, Top exhaust port; 22, Bottom air inlet; 23, Heating module; 24, Temperature sensor; 25, Micro differential pressure sensor; 251, Bottom pressure sampling point; 252, Top pressure sampling point; 26, Conical diffuser; 27, Air quality sensor; 102, Processor; 104, Memory; 106, Transmission device; 108, Input / output device. Detailed Implementation

[0048] To better understand the purpose, technical solution, and advantages of this application, the application is described and illustrated below in conjunction with the accompanying drawings and embodiments.

[0049] Unless otherwise defined, the technical or scientific terms used in this application shall have the general meaning understood by one of ordinary skill in the art to which this application pertains. Words such as “a,” “an,” “an,” “the,” “the,” and “these” used in this application do not indicate quantitative limitation and may be singular or plural. The terms “comprising,” “including,” “having,” and any variations thereof used in this application are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or modules (units) is not limited to the listed steps or modules (units) but may include steps or modules (units) not listed, or may include other steps or modules (units) inherent to these processes, methods, products, or devices. Words such as “connected,” “linked,” and “coupled” used in this application are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect. “Multiple” used in this application refers to two or more. “And / or” describes the relationship between related objects, indicating that three relationships may exist; for example, “A and / or B” can represent: A alone, A and B simultaneously, and B alone. Normally, the character " / " indicates that the objects before and after it are in an "or" relationship. The terms "first," "second," "third," etc., used in this application are merely to distinguish similar objects and do not represent a specific order of objects.

[0050] The method embodiments provided in this example can be executed on a terminal, computer, or similar computing device. For example, it can run on a terminal. Figure 1 This is a hardware structure block diagram of the terminal for the oil stain detection method of the intelligent range hood provided in this application embodiment. For example... Figure 1 As shown, a terminal may include one or more ( Figure 1Only one is shown in the diagram. A processor 102 and a memory 104 for storing data are also included. The processor 102 may be, but is not limited to, a microprocessor (MCU) or a programmable logic device (FPGA). The terminal may also include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that… Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the terminal described above. For example, the terminal may also include components that are larger than... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown are illustrated.

[0051] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the oil stain detection method of the intelligent range hood in this embodiment. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0052] The transmission device 106 is used to receive or send data via a network. This network includes a wireless network provided by the terminal's communication provider. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 can be a Radio Frequency (RF) module used for wireless communication with the Internet.

[0053] During daily use, as the smart range hood is used for a longer period of time, oil stains will accumulate inside, causing the oil filter to become clogged and the cross-sectional area at the bottom of the air duct to decrease, affecting the smoke extraction effect. At the same time, this will be accompanied by increased noise and abnormal sounds, resulting in a poor experience. Therefore, it is necessary to remind the smart range hood to be cleaned.

[0054] Currently, cleaning reminders for smart range hoods typically prompt users to clean the hood after a certain period of use. However, due to differences in cooking environments and ingredients, the degree of grease buildup inside the smart range hood varies, which may result in a situation where there is a lot of grease inside, yet no cleaning reminder is given.

[0055] To address the problem that existing technologies cannot detect the accumulation of oil stains inside smart range hoods in a timely and accurate manner, this embodiment provides an oil stain detection method for smart range hoods. This method is applied to smart range hoods; the smart range hood uses this oil stain detection method to detect the accumulated amount of oil stains and the concentration of oil fumes within the smart range hood.

[0056] Figure 2 This is a schematic diagram of the intelligent range hood provided in the embodiments of this application. Figure 3 This is a side view of the intelligent range hood provided in an embodiment of this application. (Reference) Figure 2 and Figure 3 The intelligent range hood 100 has sampling air ducts on both sides of its housing 10, which are independent of the main air duct; the sampling air duct 20 has a bottom air inlet 22 and a top exhaust outlet 21 at both ends. Figure 4 This is a schematic diagram of the sampling air duct provided in the embodiment of this application. Figure 5 This is a schematic diagram of the actual sampling duct device provided in the embodiments of this application, for reference. Figure 4 and Figure 5 The sampling duct 20 has a heating module 23 at its bottom, specifically at the bottom air inlet, which compensates for the temperature inside the duct. A temperature sensor 24 is located in the middle, serving as the bottom temperature sensor. Holes are formed in the inner wall of the sampling duct 20, allowing the temperature probe of the temperature sensor 24 to extend into the duct for real-time temperature monitoring. A conical diffuser 26 is installed at the top exhaust port 21, and a protective net is installed at the bottom exhaust port. The sampling duct 20 can be vertical, or, depending on its internal structure, can be inclined or curved, maintaining a constant effective duct height. The duct of the sampling duct 20 can be made of aluminum alloy with a nano-oleophobic coating on the inner wall to ensure a smooth surface that does not attract oil droplets.

[0057] Micro differential pressure sensors 25 are installed at both ends of the pipe wall of the sampling air duct 20. The pressure points of the micro differential pressure sensors 25 are respectively set at the bottom air inlet 22 and the top exhaust outlet 21 of the sampling air duct 20. That is, a bottom pressure sampling point 251 is set at the bottom air inlet 22 of the sampling air duct 20, and a top pressure sampling point 252 is set at the top exhaust outlet 21 of the sampling air duct 20.

[0058] Preferably, the sampling duct is sized as follows: a cross-section of 20mm × 20mm plus an effective height of 200mm, with a length-to-diameter ratio of 10:1 to enhance the chimney effect generated within the duct. The chimney effect refers to the pressure difference created by the temperature difference between the air inside and outside the duct, resulting in a pressure difference along the duct's height and causing a continuous upward or downward natural airflow within the duct. This is a buoyancy-driven natural ventilation phenomenon, physically characterized by hot air rising and cold air sinking. The heating module is configured as a constant-temperature heating device with a maximum heating power of approximately 5 watts at rated voltage, such as a PTC ceramic-based heating module. Since the area around 50cm above the stovetop is a contamination-rich zone, the bottom air inlet of the sampling duct can be positioned 45-55cm away from the stovetop surface.

[0059] Based on the aforementioned intelligent range hood equipped with a sampling air duct, this embodiment provides a method for detecting oil stains. Figure 6 This is a flowchart of the oil stain detection method for an intelligent range hood provided in this application embodiment, such as... Figure 6 As shown, the process includes the following steps:

[0060] Step S610: After the smart range hood is started, control the micro differential pressure sensor to measure the air pressure difference in the sampling duct; the air pressure difference is the air pressure difference between the bottom air inlet and the top exhaust outlet.

[0061] Furthermore, after the smart range hood is started, the heating module is activated; the temperature of the bottom air inlet of the sampling duct and the ambient temperature of the environment where the smart range hood is located are obtained; if the difference between the temperature of the bottom air inlet and the ambient temperature exceeds the preset temperature difference, the micro differential pressure sensor is controlled to measure the air pressure difference of the sampling duct.

[0062] When the smart range hood is turned on, if it is in standby or low-speed operation, the heating module in the sampling duct will be activated to compensate for the temperature in the sampling duct until the temperature difference between the temperature at the bottom air inlet of the sampling duct and the ambient temperature of the smart range hood exceeds the preset temperature difference. At this time, the chimney effect is activated, and the micro differential pressure sensor is activated to collect the air pressure at the bottom air inlet and the top exhaust outlet.

[0063] If the smart range hood is operating at high speed, the heating module of the sampling fan will be turned off. The ambient temperature of the environment where the smart range hood is located is determined by the temperature at the top exhaust vent, which is collected by a temperature sensor in the sampling duct.

[0064] Subsequently, by using micro differential pressure sensors installed at both ends of the sampling duct wall, pressure data is collected at the bottom air inlet and the top air outlet of the sampling duct, respectively, to obtain the pressure at the bottom air inlet and the pressure at the top air outlet; and the pressure difference between the bottom air inlet and the top air outlet is calculated.

[0065] Step S620: Determine the current oil fume flow rate in the sampling duct based on the air pressure difference.

[0066] When the pressure difference exceeds the preset pressure difference value, the current oil fume flow rate in the sampling duct is determined based on the pressure difference and air density.

[0067] Based on Bernoulli's principle, the pressure difference between the two ends of the sampling duct can be used as a basis. The velocity of the oil fume airflow in the sampling duct was calculated. This can be expressed as a formula:

[0068] ;

[0069] We can obtain:

[0070] ;

[0071] in, This indicates the air density, with a value of 1.2 kg / m³. 3 ; This indicates the air pressure difference between the two ends of the sampling duct, as collected by a micro differential pressure sensor. This indicates the current flow rate of oil fume in the sampling duct.

[0072] Preferably, when the pressure difference between the two ends of the sampling duct is detected... When the pressure difference is less than 0.2 Pa, i.e., when the calculated velocity (v) is less than 0.58 m / s, the pressure difference is marked as invalid data. Pressure differences exceeding the preset pressure difference value are used as valid data to calculate the current oil fume flow velocity in the sampling duct.

[0073] Step S630: Determine the oil stain coverage rate of the sampling duct based on the preset reference flow rate and the current oil fume flow rate; the preset reference flow rate is used to characterize the airflow speed of the sampling duct monitored by the smart range hood in the state of no oil stain coverage.

[0074] Furthermore, based on the preset reference flow rate and the current oil fume flow rate, the oil coverage rate of the sampling duct is determined, including: calculating the ratio of the reference flow rate to the current oil fume flow rate to obtain the flow rate ratio; determining the cross-sectional area change value of the sampling duct based on the square of the flow rate ratio; and determining the oil coverage rate of the sampling duct based on the cross-sectional area change value.

[0075] In particular, when oil stains adhere to the smart range hood, the filters at the bottom of the main air duct and the sampling air duct will become clogged, and the cross-sectional area at the bottom will decrease. Therefore, it can be known that when the temperature difference between the bottom air inlet and the ambient temperature of the smart range hood is the same, the more oil stains adhere, the lower the oil fume flow rate in the sampling air duct.

[0076] Therefore, the oil fume flow velocity in the current sampling duct can be compared with the airflow velocity under conditions of no oil contamination, thereby estimating the oil contamination coverage rate at the bottom of the current sampling duct. Expressed as a formula:

[0077] ;

[0078] in, This indicates the current oil fume flow rate in the sampling duct obtained in step S620; This represents the baseline flow rate in the sampling duct obtained when the smart range hood is a new machine, i.e., without any oil fume coverage.

[0079] Based on Poiseuille's law, the cross-sectional area change of the sampling duct is reflected by the square ratio of the flow velocity. When the obtained oil fume coverage exceeds the preset coverage threshold k, a cleaning and maintenance reminder is displayed on the display interface.

[0080] The preset coverage threshold k can be any value between [0.6, 0.9], depending on the type of smart range hood and the actual test results.

[0081] By implementing the above steps, and by setting up a sampling duct inside the smart range hood, independent of the main air duct, and by detecting the oil fume flow velocity within the sampling duct, it is beneficial to promptly detect high oil fume concentrations within the smart range hood, and further, to provide timely warnings of oil buildup. Simultaneously, the oil fume flow velocity within the sampling duct is determined based on the air pressure difference between the inlet and outlet of the sampling duct. Since the oil fume flow velocity in the sampling duct is related to the volume of gas flow, i.e., related to the cross-sectional area of ​​the sampling duct, the oil stain coverage rate of the sampling duct can be determined based on the oil fume flow velocity. This allows for the deduction of the oil stain coverage inside the smart range hood, achieving accurate and efficient detection of oil stain accumulation inside the range hood.

[0082] In some of these embodiments, reference is made to Figure 2An air quality sensor 27 is also installed inside the sampling duct 20 to collect the concentration of oil fumes within the sampling duct 20. The oil stain detection method of this smart range hood also includes: controlling the start of the heating module when the smart range hood is in a preset operating state; the preset operating state is the state where there are no pollutants in the environment where the smart range hood is located; obtaining the temperature of the bottom air inlet of the sampling duct and the ambient temperature of the environment where the smart range hood is located; when the temperature difference between the bottom air inlet temperature and the ambient temperature exceeds a preset temperature difference, using the air quality sensor to collect the actual oil fume concentration value in the sampling duct; the preset temperature difference is used to characterize that the airflow in the current sampling duct conforms to the chimney effect.

[0083] The default operating state is that the smart range hood is in standby mode or low-speed operation mode. When the range hood is running at high speed, the heating module is turned off.

[0084] By using thermal buoyancy to achieve sampling without moving parts, the heating element is activated when the range hood is in standby or running at low speed, causing the air at the bottom of the sampling duct to be heated and rise, forming a self-circulating airflow. It actively draws the air from the bottom of the kitchen up using the thermal buoyancy effect of the flue gas or the chimney effect, and flows through the air quality sensor on the side to accurately detect the air quality in the kitchen.

[0085] Specifically, if the temperature difference between the bottom air inlet and the ambient temperature exceeds a preset temperature difference, it indicates that the chimney effect activation condition has been met. The TVOC sensor (air quality sensor) is then activated, acquiring its raw signal voltage Vraw. Temperature compensation is then calculated to obtain the actual oil fume concentration in the sampling duct. .

[0086] If the actual oil fume concentration exceeds the preset oil fume concentration, the fan of the smart range hood will be activated. The preset oil fume concentration is the concentration of oil fumes containing pollutants in the environment where the smart range hood is located. If the actual oil fume concentration exceeds the preset oil fume concentration, the actual oil fume concentration in the sampling duct will be continuously monitored.

[0087] In some embodiments, the sensor's output voltage (or resistance) is a function of both its operating temperature and the gas concentration in the environment. Therefore, the method for determining the true oil fume concentration in the sampling duct using an air quality sensor, i.e., calculating temperature compensation, includes: activating the air quality sensor when the temperature difference between the inlet and ambient temperatures exceeds a preset temperature difference; acquiring the original signal voltage during the air quality sensor's operation; determining the surface temperature of the air quality sensor based on the original signal voltage; and determining the true oil fume concentration in the sampling duct based on the oil fume concentration measured by the air quality sensor and the surface temperature of the air quality sensor.

[0088] Since the output of the air quality sensor needs to compensate for the effects of the thermal gradient, the temperature compensation algorithm described above can be implemented using the surface temperature of the air quality sensor. Compensation is performed to obtain the true oil fume concentration value in the sampling duct. This can be expressed by the formula:

[0089] ;

[0090] in, This indicates the actual concentration of oily fumes in the sampling duct. This indicates the actual concentration of cooking fumes collected by the air quality sensor; This indicates the surface temperature of the air quality sensor; This indicates the temperature coefficient of the air quality sensor, which is typically set to -0.5% / ℃.

[0091] The present embodiment will be described and explained below through specific examples.

[0092] Figure 7 This is a flowchart of the oil spill accumulation detection method provided in this specific embodiment. (Reference) Figure 7 After the control system of the smart range hood is started, the parameters in the smart range hood are initialized, and the reference flow velocity in the sampling duct is obtained according to the above method. Then, the sampling air duct heating was started.

[0093] If the temperature difference ΔT between the air inlet temperature and the ambient temperature in the sampling duct exceeds a preset temperature difference of 10℃, and the airflow is stable, the current oil fume flow velocity in the sampling duct is calculated based on the air pressure difference ΔP measured in the current sampling duct. ; and combined with the reference flow rate and current oil fume flow rate The oil pollution coverage rate was calculated. In determining the oil spill coverage rate If the coverage exceeds the preset threshold k, an alarm blockage reminder will be displayed on the screen, indicating that cleaning and maintenance are required; otherwise, cleaning is not required for the time being, and the test data should be stored and the test will wait for the next test cycle.

[0094] If the temperature difference ΔT between the air inlet temperature in the sampling duct and the ambient temperature does not exceed the preset temperature difference of 10℃, and / or the airflow is unstable, wait 5 seconds and try again.

[0095] It should be noted that the steps shown in the above process or in the flowcharts in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions.

[0096] This embodiment also provides an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0097] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0098] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0099] S1 controls the micro differential pressure sensor to measure the air pressure difference in the sampling duct after the smart range hood is started; the air pressure difference is the air pressure difference between the bottom air inlet and the top exhaust outlet.

[0100] S2, determine the current oil fume flow rate in the sampling duct based on the air pressure difference.

[0101] S3, based on the preset reference flow rate and the current oil fume flow rate, determines the oil stain coverage rate of the sampling duct; the preset reference flow rate is used to characterize the airflow speed of the sampling duct monitored by the smart range hood in the state of no oil stain coverage.

[0102] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated in this embodiment.

[0103] Furthermore, in conjunction with the oil fume detection method for intelligent range hoods provided in the above embodiments, this embodiment can also provide a storage medium for implementation. This storage medium stores a computer program; when executed by a processor, the computer program implements any of the oil fume detection methods for intelligent range hoods described in the above embodiments.

[0104] It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. All other embodiments derived by those skilled in the art based on the embodiments provided in this application without inventive effort are within the scope of protection of this application.

[0105] Obviously, the accompanying drawings are merely some examples or embodiments of this application. Those skilled in the art can apply this application to other similar situations based on these drawings without any creative effort. Furthermore, it is understood that although the work done in this development process may be complex and lengthy, for those skilled in the art, certain design, manufacturing, or production modifications made based on the technical content disclosed in this application are merely conventional technical means and should not be considered as insufficient disclosure of this application.

[0106] The term "embodiment" in this application refers to a specific feature, structure, or characteristic described in connection with an embodiment that may be included in at least one embodiment of this application. The appearance of this phrase in various places in the specification does not necessarily imply the same embodiment, nor does it imply that it is mutually exclusive with or independent of other embodiments. It will be clearly or implicitly understood by those skilled in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0107] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of patent protection. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the appended claims.

Claims

1. A method for detecting oil stains in an intelligent range hood, characterized in that, The method is applied to a smart range hood; the smart range hood has sampling air ducts on both sides of its housing, independent of the main air duct; a micro differential pressure sensor is installed on the wall of the sampling air duct. The pressure points of the micro differential pressure sensor are respectively set at the bottom air inlet and the top exhaust outlet of the sampling air duct; The method includes: After the smart range hood is started, the micro differential pressure sensor is controlled to measure the air pressure difference in the sampling air duct; the air pressure difference is the air pressure difference between the bottom air inlet and the top exhaust outlet; The current oil fume flow rate in the sampling duct is determined based on the pressure difference. Based on a preset reference flow rate and the current oil fume flow rate, the oil stain coverage rate of the sampling duct is determined; the preset reference flow rate is used to characterize the airflow velocity of the sampling duct monitored by the smart range hood in a state without oil stain coverage.

2. The method for detecting oil stains in an intelligent range hood according to claim 1, characterized in that, The determination of the oil stain coverage rate of the sampling duct based on the preset reference flow rate and the current oil fume flow rate includes: Calculate the ratio of the reference flow rate to the current oil fume flow rate to obtain the flow rate ratio; The change in cross-sectional area of ​​the sampling duct is determined based on the square of the flow rate ratio. Based on the change in cross-sectional area, the oil stain coverage rate of the sampling air duct is determined.

3. The method for detecting oil stains in an intelligent range hood according to claim 1, characterized in that, A heating module is provided at one end of the sampling air duct near the bottom air inlet. The heating module is used to compensate for the temperature inside the sampling air duct. The control micro-differential pressure sensor measures the air pressure difference in the sampling duct, including: After the smart range hood is started, the heating module is activated. The temperature of the bottom air inlet of the sampling duct and the ambient temperature of the environment where the smart range hood is located are obtained. If the temperature difference between the bottom air inlet and the ambient temperature exceeds a preset temperature difference, the micro differential pressure sensor is controlled to measure the air pressure difference in the sampling duct.

4. The oil stain detection method for an intelligent range hood according to claim 3, characterized in that, Determining the current oil fume flow rate in the sampling duct based on the air pressure difference includes: When the pressure difference exceeds a preset pressure difference value, the current oil fume flow rate of the sampling duct is determined based on the pressure difference and air density.

5. The method for detecting oil stains in an intelligent range hood according to any one of claims 3 or 4, characterized in that, An air quality sensor is also installed inside the sampling duct, and the air quality sensor is used to collect the concentration of oil fume inside the sampling duct; the method further includes: When the smart range hood is in a preset operating state, the heating module is activated; the preset operating state is the state in which there are no pollutants in the environment where the smart range hood is located. The temperature of the bottom air inlet of the sampling duct and the ambient temperature of the environment where the smart range hood is located are obtained. If the temperature difference between the bottom air inlet and the ambient temperature exceeds a preset temperature difference, the air quality sensor is used to collect the actual oil fume concentration in the sampling duct; the preset temperature difference is used to characterize that the airflow in the current sampling duct conforms to the chimney effect.

6. The method for detecting oil stains in an intelligent range hood according to claim 5, characterized in that, The step of collecting the actual oil fume concentration value in the sampling duct using the air quality sensor includes: If the temperature difference between the air inlet temperature and the ambient temperature exceeds a preset temperature difference value, the air quality sensor will be activated. The original signal voltage of the air quality sensor during operation is collected; The surface temperature of the air quality sensor is determined based on the original signal voltage. Based on the oil fume concentration value measured by the air quality sensor in the sampling duct, and combined with the surface temperature of the air quality sensor, the actual oil fume concentration value in the sampling duct is determined.

7. The method for detecting oil stains in an intelligent range hood according to claim 5, characterized in that, The method further includes: If the actual oil fume concentration value exceeds the preset oil fume concentration value, the fan of the smart range hood will be activated; the preset oil fume concentration value is the oil fume concentration value of pollutants in the environment where the smart range hood is located. If the actual oil fume concentration value exceeds the preset oil fume concentration value, the actual oil fume concentration value in the sampling duct will be continuously detected.

8. A smart range hood, characterized in that, The intelligent range hood employs the oil stain detection method for intelligent range hoods as described in any one of claims 1 to 7 to detect the cumulative amount of oil stains and the concentration of oil fumes in the intelligent range hood.

9. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to run the computer program to perform the oil stain detection method of the intelligent range hood according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the oil stain detection method for the intelligent range hood according to any one of claims 1 to 7.

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