Oil fume monitor method and device of oil fume collector, intelligent oil fume collector and storage medium

Abstract

The application discloses an oil stain monitoring method and device of a range hood, an intelligent range hood and a storage medium. The oil stain monitoring method of the range hood can be applied to the technical field of intelligent kitchen electrical appliances. The method comprises the following steps: acquiring a real-time rotating speed of a range hood motor when the motor is running under real-time motor phase current driving, and a real-time atmospheric pressure and a real-time temperature; converting the real-time rotating speed into a motor rotating speed corresponding to a preset reference altitude under the real-time motor phase current driving based on the real-time atmospheric pressure and the real-time temperature; determining a real-time structural resistance coefficient of the range hood by combining preset resistance coefficient mapping information based on the motor rotating speed corresponding to the preset reference altitude obtained after the real-time rotating speed is converted and the real-time motor phase current; the preset resistance coefficient mapping information is a corresponding relationship between the motor rotating speed of the range hood and the resistance coefficient under different motor phase current driving calibrated at the preset reference altitude; and the real-time structural resistance coefficient reflects the oil stain deposition degree. The application improves the accuracy and environmental adaptability of oil stain monitoring.

Description

Technical Field

[0001] This application relates to the field of smart kitchen appliance technology, and in particular to a method, device, smart range hood, and storage medium for monitoring oil stains in range hoods. Background Technology

[0002] In modern home and commercial kitchen environments, range hoods have evolved beyond basic smoke extraction devices into core intelligent kitchen equipment with environmental awareness and autonomous decision-making capabilities. With the deep integration of the Internet of Things, sensor technology, and artificial intelligence algorithms, intelligent range hoods are developing towards proactive service and precise operation and maintenance. However, during long-term operation, the high-temperature fumes generated during cooking condense inside the device after cooling, forming a stubborn layer of grease, especially in key areas where airflow passes at high speeds, such as the impeller and the inner wall of the volute. These deposits not only increase the operating load of the equipment but also alter its aerodynamic structure, leading to reduced airflow, increased noise, and even safety hazards. Therefore, accurately assessing the degree of grease accumulation inside the range hood is crucial for guiding timely cleaning and maintenance and ensuring the efficient and stable operation of the equipment.

[0003] Traditional maintenance strategies often rely on experience-based judgment, such as recommending manual cleaning at fixed intervals (six months or one year) or triggering self-cleaning programs based on cumulative runtime. While some products offer timed reminders or manually activated cleaning functions, these methods ignore significant differences in user cooking frequency, dietary habits (such as frequent stir-frying and deep-frying), kitchen ventilation, and climate. This experience-based approach often leads to delayed cleaning, resulting in severe grease buildup and impaired equipment performance; or frequent activation of the cleaning program before the grease has reached a point requiring cleaning, wasting water, cleaning agents, and energy, and increasing unnecessary maintenance costs.

[0004] To overcome this bottleneck, current technologies attempt to quantitatively analyze and predict oil deposits by collecting operating parameters such as fan speed, motor current, and air pressure, combined with pre-set models. However, existing algorithms largely rely on calibration data from specific geographical areas and fixed environmental conditions, posing significant challenges in practical applications. Variations in atmospheric pressure due to altitude differences, fluctuations in intake air temperature due to seasonal changes, and alterations in the thermodynamic characteristics of intake airflow caused by high-temperature cooking methods such as stir-frying and deep-frying can all lead to non-oil-related shifts in motor load and aerodynamic parameters. Such external interference can easily cause misjudgments in assessment models based on static parameter thresholds, resulting in premature or delayed oil pollution warnings, thus reducing the reliability and practicality of the diagnostic results. Summary of the Invention

[0005] To address the problems of existing technologies, this application provides a method, device, intelligent range hood, and storage medium for monitoring oil stains in a range hood. The technical solution is as follows: On the one hand, a method for monitoring oil stains on a range hood is provided, the method comprising: The real-time rotational speed of the range hood motor under real-time motor phase current drive is obtained, as well as the real-time atmospheric pressure and real-time temperature of the current operating environment of the range hood. Based on the real-time atmospheric pressure and the real-time temperature, the real-time rotational speed is converted into the motor rotational speed corresponding to the preset reference altitude under the real-time motor phase current drive. Based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with the preset resistance coefficient mapping information, the real-time structural resistance coefficient of the range hood is determined; wherein, the preset resistance coefficient mapping information is the correspondence between the range hood motor speed and the resistance coefficient under different motor phase currents calibrated at the preset reference altitude. The degree of grease buildup in the range hood is assessed based on the real-time structural drag coefficient.

[0006] On the other hand, an oil stain monitoring device for a range hood is provided, the device comprising: The information acquisition module is used to acquire the real-time rotational speed of the range hood motor when it is driven by the real-time motor phase current, as well as the real-time atmospheric pressure and real-time temperature of the current operating environment of the range hood. The speed conversion module is used to convert the real-time speed into the motor speed corresponding to the preset reference altitude under the real-time motor phase current drive, based on the real-time atmospheric pressure and the real-time temperature. The resistance coefficient module is used to determine the real-time structural resistance coefficient of the range hood based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with preset resistance coefficient mapping information; wherein, the preset resistance coefficient mapping information is the correspondence between the range hood motor speed and resistance coefficient under different motor phase currents calibrated at the preset reference altitude. The oil stain assessment module is used to assess the degree of oil stain deposition in the range hood based on the real-time structural resistance coefficient.

[0007] In one exemplary embodiment, the speed conversion module includes: The first benchmark acquisition module is used to acquire the benchmark atmospheric pressure and benchmark temperature corresponding to the preset benchmark altitude; The speed conversion submodule is used to convert the real-time speed into the motor speed corresponding to the preset reference altitude under the real-time motor phase current drive, based on the proportional relationship between the real-time atmospheric pressure and the reference atmospheric pressure, and the proportional relationship between the reference temperature and the real-time temperature.

[0008] In one exemplary embodiment, the oil stain assessment module further includes a coefficient comparison module, which is used to compare the real-time structural resistance coefficient with the initial structural resistance coefficient of the range hood under the current usage environment to obtain a target comparison result; the target comparison result indicates the degree of oil stain deposition on the range hood. Accordingly, the device further includes an initial resistance coefficient module for determining the initial structural resistance coefficient of the range hood, the initial resistance coefficient module comprising: The initial acquisition module is used to acquire the initial speed of the range hood motor when it is driven by the initial motor phase current, and the initial atmospheric pressure and initial temperature of the range hood in the current operating environment; An initial speed conversion module is used to convert the initial speed into the motor speed corresponding to the preset reference altitude under the initial motor phase current drive, based on the initial atmospheric pressure and the initial temperature. The initial coefficient determination module is used to determine the initial structural resistance coefficient of the range hood based on the motor speed corresponding to the preset reference altitude obtained after the initial speed conversion and the initial motor phase current, combined with the preset resistance coefficient mapping information.

[0009] In one exemplary embodiment, the device further includes a real-time atmospheric pressure determination module, which is used to determine the real-time atmospheric pressure based on the real-time temperature, the initial atmospheric pressure, and the initial temperature, combined with the negative correlation between temperature and atmospheric pressure.

[0010] In one exemplary embodiment, the device further includes an initial atmospheric pressure determination module for determining the initial atmospheric pressure of the range hood under the current operating environment, the initial atmospheric pressure determination module comprising: The second reference acquisition module is used to acquire preset reference motor phase current and reference speed; the reference speed is the motor speed of the range hood motor when it is driven by the reference motor phase current under the reference temperature and the reference atmospheric pressure. A reference control module is used to control the range hood motor to operate under the current operating environment based on the reference motor phase current, and to record the current speed of the range hood motor. An initial air pressure module is used to determine the initial atmospheric pressure of the range hood under the current operating environment based on the current rotation speed, the initial temperature, the reference rotation speed, the reference temperature, and the reference atmospheric pressure.

[0011] In one exemplary embodiment, the resistance coefficient in the preset resistance coefficient mapping information is a false resistance coefficient when the range hood is subjected to back pressure; the resistance coefficient module includes: The false coefficient module is used to determine the false resistance coefficient of the range hood when back pressure is superimposed, based on the motor speed corresponding to the preset reference altitude obtained after the real-time speed conversion and the real-time motor phase current, combined with the preset resistance coefficient mapping information. The static pressure determination module is used to determine the static pressure of the range hood based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with preset fan static pressure mapping information; wherein, the preset fan static pressure mapping information is the correspondence between the range hood motor speed and the range hood fan static pressure under different motor phase currents calibrated at the preset reference altitude. The real-time coefficient determination module is used to determine the real-time structural resistance coefficient of the range hood after removing the back pressure, based on the false resistance coefficient, the static pressure of the fan, and the back pressure of the exhaust system of the range hood.

[0012] On the other hand, a smart range hood is provided, including a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the oil stain monitoring method of the range hood in any of the above aspects.

[0013] On the other hand, a computer-readable storage medium is provided, wherein at least one instruction or at least one program is stored therein, the at least one instruction or the at least one program being loaded and executed by a processor to implement the oil stain monitoring method for a range hood as described above.

[0014] On the other hand, a computer program product or computer program is provided, which includes computer instructions stored in a computer-readable storage medium. The processor of the intelligent range hood reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the intelligent range hood to perform the oil stain monitoring method of any of the above aspects.

[0015] This application embodiment obtains the real-time speed of the range hood motor, the real-time atmospheric pressure and temperature of the current operating environment, and converts the real-time speed into the speed corresponding to a preset benchmark altitude based on these environmental parameters. This unifies the speed data under different environments to a standard reference dimension, breaking the limitation of existing algorithms that rely on calibration data from specific regions. It eliminates the interference of air state changes on motor parameters from the root. On this basis, the real-time structural resistance coefficient is determined by combining the converted benchmark altitude speed and the real-time motor phase current, referring to the correspondence between the speed and resistance coefficient calibrated at the preset benchmark altitude. This coefficient only reflects the true resistance of the exhaust structure itself (including oil deposits) and is not affected by the distortion of motor parameters caused by changes in air state. This allows for accurate judgment of the degree of oil deposits and effectively avoids the problem of early or delayed oil stain warnings caused by altitude differences, seasonal changes, or high-temperature cooking, significantly improving the accuracy of assessment and environmental adaptability. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating a method for monitoring oil stains in a range hood according to an embodiment of this application; Figure 2 This is a flowchart illustrating a method for determining the structural resistance coefficient of a range hood according to an embodiment of this application. Figure 3 This is a structural block diagram of an oil stain monitoring device for a range hood provided in an embodiment of this application; Figure 4 This is a hardware structure block diagram of an intelligent range hood provided in an embodiment of this application. Detailed Implementation

[0018] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0019] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or server that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0020] It is understood that in the specific embodiments of this application, data such as user information are involved. When the above embodiments of this application are applied to specific products or technologies, user permission or consent is required, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0021] Please see Figure 1 The diagram illustrates a flowchart of a method for monitoring oil stains in a range hood according to an embodiment of this application. It should be noted that while this specification provides the method steps as shown in the embodiments or flowcharts, more or fewer steps may be included based on conventional or non-inventive methods. The order of steps listed in the embodiments is merely one possible execution order among many and does not represent the only possible execution order. In actual system or product execution, the method can be executed sequentially according to the embodiments or accompanying drawings, or in parallel (e.g., in a parallel processor or multi-threaded processing environment). Specifically, as shown... Figure 1 As shown, the method may include: S101, obtain the real-time speed of the range hood motor when it is driven by the real-time motor phase current, as well as the real-time atmospheric pressure and real-time temperature of the current operating environment of the range hood.

[0022] Among them, the real-time motor phase current refers to the current value of the range hood motor when it is running in real time. It fluctuates dynamically with the motor load (such as oil stains and air resistance). It can be collected by the current sampling circuit of the motor controller (such as shunt resistor and Hall current sensor). The sampling frequency can be set to 1Hz to avoid interference from instantaneous current fluctuations.

[0023] Specifically, real-time parameter acquisition relies on hardware collaboration. For example, motor speed is acquired through an incremental encoder, real-time temperature is acquired through a thermistor, and real-time atmospheric pressure is acquired through a barometer. The signals from each sensor are filtered (such as by moving average filtering) before being used for calculation.

[0024] Specifically, the real-time atmospheric pressure is determined based on real-time temperature, initial atmospheric pressure, and the negative correlation between temperature and atmospheric pressure.

[0025] The negative correlation between temperature and atmospheric pressure can be expressed by the formula Pt1=T 1初始 Pt 1初始 / T1 quantization (where Pt) 1初始 T represents the initial atmospheric pressure. 1初始 (where Pt1 represents the initial temperature, Pt1 represents the real-time atmospheric pressure, and T1 represents the real-time temperature). Essentially, this formula is Pt1T1 = T. 1初始 Pt 1初始 This formula reflects the negative correlation between temperature and atmospheric pressure. It is particularly suitable for continental climate scenarios, characterized by high air pressure during low winter temperatures and low air pressure during high summer temperatures. It should be noted that this formula simplifies the calculation model and does not fully consider other influencing factors such as humidity and altitude; therefore, some errors may occur in practical applications, but it is sufficient to meet the monitoring accuracy requirements of household range hoods.

[0026] The initial atmospheric pressure needs to be collected at a fixed altitude. If the user changes the location (for example, the altitude changes by ≥50 meters), the initial atmospheric pressure needs to be collected again.

[0027] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application can calculate the real-time atmospheric pressure by means of a temperature sensor, initial atmospheric pressure and initial temperature, without relying on a pressure sensor. On the one hand, this reduces the hardware configuration of the range hood and lowers the production and manufacturing costs; on the other hand, it can also provide a backup calculation scheme when the pressure sensor fails, thereby improving the system's fault tolerance.

[0028] The initial atmospheric pressure can be determined through the following steps: obtaining the preset reference motor phase current and reference speed; the reference speed is the motor speed of the range hood motor when it is driven by the reference motor phase current under the reference temperature and reference atmospheric pressure; controlling the range hood motor to operate under the current usage environment based on the reference motor phase current, and recording the current speed of the range hood motor; determining the initial atmospheric pressure of the range hood under the current usage environment based on the current speed, initial temperature, reference speed, reference temperature and reference atmospheric pressure.

[0029] The reference motor phase current is a fixed current value calibrated in the laboratory, covering the commonly used operating current range of range hoods (such as 0.8A-1.2A for household range hoods, so the reference phase current can be set to 1.0A). When selecting this current, it is necessary to ensure that the motor can operate stably under this current (without overload or stall risk), and that the speed change is sensitive to the air pressure change (to facilitate reverse calculation of air pressure).

[0030] The reference speed is the motor speed when a reference phase current is applied under a preset reference environment (such as reference altitude 0 meters, reference temperature 20℃, and reference atmospheric pressure 101.325 kPa). In practice, the reference speed is measured multiple times (e.g., 10 times) using specialized equipment, and the average value is taken to ensure that the error is ≤ ±10 rpm.

[0031] Specifically, based on fluid mechanics (air density formula ρ=Pt / (R)...) Based on T) and motor dynamics (load and speed relationship), a formula for calculating the initial atmospheric pressure is derived. Specifically, the motor speed n is inversely proportional to the load resistance; the smaller the load, the higher the motor speed n. The load of the range hood motor comes from air resistance, which is directly proportional to the air density ρ; the lower the air density ρ, the lower the air resistance, and the higher the motor speed n. Combining ρ=Pt / (R) (Pt is air pressure, R is the air constant, which remains constant; T is absolute temperature, in K). It can be deduced that when the current I is fixed (I1=I0, motor output power is fixed), the rotational speed is inversely proportional to the square root of the air pressure and directly proportional to the square root of the temperature, i.e., n∝1 / √Pt·√T. Transforming this relationship, we obtain the correlation between air pressure and rotational speed / temperature: Pt∝(n0 / n). 2 (T / T0) Pt0, i.e., Pt1 = (n0 / n1) 2 •(T1 / T0)·Pt0. Where, Pt0 is the reference atmospheric pressure (i.e., the laboratory standard air pressure), T0 is the reference temperature (i.e., the laboratory temperature, such as 20℃), I0 is the reference motor phase current (i.e., the laboratory given current), and n0 is the reference speed (i.e., the motor speed under the laboratory current I0); Pt1 is the actual air pressure of the current operating environment, T1 is the actual temperature of the current operating environment, measured by the temperature sensor, I1 is the current motor phase current (i.e., the given current of the current operating environment, and I1=I0 to ensure consistent control conditions), and n1 is the current speed (i.e., the motor speed under the current I1 in the current operating environment).

[0032] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application can deduce the initial air pressure from the motor's own operating parameters, which solves the problem of obtaining the initial atmospheric pressure in the absence of an air pressure sensor. No additional hardware is required, which reduces the hardware cost and installation complexity of the range hood. At the same time, the accuracy of the initial atmospheric pressure directly determines the accuracy of subsequent real-time atmospheric pressure calculation and speed conversion, laying the foundation for the entire monitoring method.

[0033] S103, based on real-time atmospheric pressure and real-time temperature, converts real-time rotational speed into motor speed corresponding to a preset reference altitude under real-time motor phase current drive.

[0034] The preset reference altitude is usually selected as 0 meters (sea level) because it corresponds to the standard atmospheric environment (reference atmospheric pressure 101.325 kPa, reference temperature 20℃). As the environmental parameter calibration benchmark, it can minimize the impact of regional differences on monitoring.

[0035] Specifically, since the exhaust structures of the current usage environment and the preset benchmark environment are exactly the same, the range hoods in both locations operate under similar conditions. The parameters of the range hoods in both locations can be converted using air thermophysical property similarity conversion and speed similarity conversion. Therefore, the operating parameters of the current usage environment can be similarly converted to the operating parameters of the preset benchmark environment.

[0036] Specifically, the reference atmospheric pressure and reference temperature corresponding to the preset reference altitude are obtained; based on the proportional relationship between real-time atmospheric pressure and reference atmospheric pressure, and the proportional relationship between reference temperature and real-time temperature, the real-time speed is converted into the motor speed corresponding to the preset reference altitude under real-time motor phase current drive.

[0037] Among them, the reference atmospheric pressure and reference temperature are the standard environmental parameters corresponding to the preset reference altitude, such as 101.325 kPa and 20℃ corresponding to an altitude of 0 meters.

[0038] Specifically, the preset baseline environment has the same exhaust structure as the current usage environment, and the range hood's electrical control system remains unchanged. That is, when the range hood is turned on to a specific setting (using constant current control), the motor phase current remains constant, satisfying I1=I0. Based on the physical characteristics of motor operation, the motor shaft torque Tn is proportional to the square of the air density ρ and the rotational speed n (Tn∝ρ·n). 2 Meanwhile, Tn is also proportional to the current I (Tn∝I); since the torque remains constant when the current is constant, ρ0·n0 can be derived. 2 =ρ1·n1 2 After deformation, we get n1 = (ρ0 / ρ1) 0.5 ·n0. Further combining this with the air density formula ρ1 / ρ0=(Pt1·T0) / (Pt0·T1), we can finally derive n1= [(Pt0·T1) / (Pt1·T0)] 0.5 Therefore, after obtaining the real-time motor phase current I1, real-time speed n1, real-time atmospheric pressure Pt1, and real-time temperature T1 of the current operating environment, they can be converted into the parameters of the preset reference environment: n0 = [(Pt1·T0) / (Pt0·T1)]. 0.5 ·n1,I0=I1.

[0039] Where Tn is the motor shaft torque, n is the motor speed, I is the current, Pt is the atmospheric pressure, ρ is the air density, and T is the ambient temperature. The preset reference environment is usually a sea-level user site, and its range hood parameters include [n0, I0, k0, P0], and the air state parameters are [T0, Pt0, ρ0]; the current usage environment is usually a high-altitude user site, and its range hood parameters are [n1, I1, kj1, P1], and the air state parameters are [T1, Pt1, ρ1].

[0040] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application, by establishing a two-dimensional collaborative conversion model of air pressure ratio and temperature ratio, accurately quantify the coupled influence of air density on motor speed under the combined effect of atmospheric pressure and temperature (air density increases with increasing atmospheric pressure and decreases with increasing temperature; both jointly determine the motor load resistance, thus affecting the speed), so that the real-time speed in different regions and seasons can be unified to the standard dimension of a preset reference altitude (e.g., 0 meters above sea level, corresponding to a standard atmospheric environment). This provides key standardized data input for subsequent determination of the real-time structural drag coefficient based on a unified benchmark, ensuring the accuracy and reliability of oil pollution monitoring in complex environments.

[0041] S105, based on the motor speed and real-time motor phase current corresponding to the preset reference altitude obtained after real-time speed conversion, combined with the preset resistance coefficient mapping information, determines the real-time structural resistance coefficient of the range hood.

[0042] The preset resistance coefficient mapping information is the correspondence between the range hood motor speed and resistance coefficient under different motor phase currents calibrated at a preset reference altitude. Specifically, it is a two-dimensional data table or fitting formula established by changing the motor phase current (e.g., a gradient from 0.5A to 1.5A) and measuring the corresponding speed and resistance coefficient in a preset reference environment.

[0043] The accuracy of the preset drag coefficient mapping information relies on specific air conditions. If the actual environment deviates from this baseline, the mapping results will be inaccurate. Specifically, the currently used preset drag coefficient mapping information is obtained through laboratory testing, implicitly assuming that the air conditions strictly match the laboratory settings (i.e., the air conditions corresponding to the preset reference altitude, i.e., the preset reference environment). When changes in atmospheric pressure and temperature in the actual operating environment reach a level that cannot be ignored, the air conditions will deviate from the laboratory settings, leading to changes in the fan operating parameters. In this case, if the preset drag coefficient mapping information is directly used to calculate the real-time structural drag coefficient, the obtained value will be distorted. Therefore, the preset mapping information must be corrected.

[0044] In one exemplary implementation, the resistance coefficient in the preset resistance coefficient mapping information is a spurious resistance coefficient when the range hood is subjected to back pressure; such as Figure 2As shown, step S105 above may include: S201, based on the motor speed and real-time motor phase current corresponding to the preset reference altitude obtained after real-time speed conversion, combined with the preset resistance coefficient mapping information, determines the false resistance coefficient when the range hood is superimposed with back pressure.

[0045] The false resistance coefficient is a resistance value that includes the external back pressure of the exhaust system (such as the pressure of the public flue, the friction resistance of the flue, and the resistance of the check valve), and is not just the structural resistance caused by oil stains. If it is used directly for evaluation, the change in back pressure will be misjudged as the change in oil stains (for example, the back pressure of the public flue increases during the peak cooking period, the false resistance coefficient increases, and it is easy to misjudge it as an increase in oil stains).

[0046] S203, based on the motor speed and real-time motor phase current corresponding to the preset reference altitude obtained after real-time speed conversion, combined with the preset fan static pressure mapping information, the fan static pressure of the range hood is determined.

[0047] The preset fan static pressure mapping information is the correspondence between the range hood motor speed and the range hood fan static pressure under different motor phase currents calibrated at a preset reference altitude. Specifically, the preset fan static pressure mapping information is a two-dimensional data table or fitting formula established in a preset reference environment by changing the motor phase current, measuring the corresponding speed and fan static pressure. The fan static pressure reflects the fan's ability to overcome resistance (unit: Pa).

[0048] Specifically, the preset static pressure mapping information and the preset resistance coefficient mapping information of the wind turbine are calibrated under the same reference environment (same altitude, temperature, and air pressure) to ensure data matching.

[0049] Specifically, the preset reference environment is usually a sea-level user site. Its preset drag coefficient mapping information fj0() and preset turbine static pressure mapping information Fj0() are based on the preset reference environment, i.e., laboratory air conditions, and have been determined after testing and data processing. The current usage environment is usually a high-altitude user site, and its fj1() mapping and Fj1() mapping are based on the user site air conditions, which are currently unknown. It should be noted that the fj(n,I)=k and Fj(n,I)=P mapping information obtained from laboratory tests above (i.e., fj0 and Fj0 of the preset reference environment) are effective only if they depend on specific air condition conditions. Once the environment deviates from these conditions, the accuracy of the mapping results will be affected. Currently, the two core mapping information types, fj(n,I)=k and Fj(n,I)=P, are obtained through laboratory tests. Their implicit premise is that the air conditions strictly match the laboratory settings (i.e., [T0, Pt0, ρ0] of the preset reference environment). When the atmospheric pressure (Pt) and temperature (T) of the actual operating environment change to a degree that cannot be ignored, the air conditions will deviate from the laboratory settings, leading to changes in the fan's operating parameters. If the fj0() mapping and Fj0() calculation parameters obtained from the laboratory are still used directly, the results will be distorted; therefore, the mapping information must be corrected. Here, k represents the structural drag coefficient measured in the laboratory, which is also the spurious drag coefficient of the current operating environment; P represents the fan static pressure.

[0050] S205, based on the spurious resistance coefficient, fan static pressure and back pressure of the range hood's exhaust system, determines the real-time structural resistance coefficient of the range hood after removing the back pressure.

[0051] Among them, the back pressure of the smoke exhaust system is an external additional resistance. The common back pressure range of household range hoods is 50Pa-250Pa, which can be directly measured by a miniature static pressure sensor built into the smoke pipe, or indirectly obtained through an estimation model based on the floor and usage time.

[0052] Specifically, the total static pressure P1 generated by the fan needs to overcome two types of resistance simultaneously: one is the external additional resistance unrelated to the structure (i.e., back pressure ΔP, such as the pressure in a common flue), and the other is the resistance of the exhaust structure itself (corresponding to the pressure requirement of the actual real-time structural resistance coefficient kj1, including resistance caused by oil deposits). Therefore, the effective static pressure used to overcome the resistance of the structure itself is the total static pressure minus the back pressure, i.e., effective static pressure = P1 - ΔP. The spurious resistance coefficient k1 is calculated based on the total static pressure and includes the influence of back pressure; while the actual real-time structural resistance coefficient kj1 only reflects the resistance of the structure itself. The ratio between the two is consistent with the ratio of effective static pressure to total static pressure (because the resistance coefficient is proportional to the pressure to be overcome), i.e., kj1 / k1 = (P1 - ΔP) / P1. After simplification, the formula for calculating the real-time structural drag coefficient can be obtained: kj1=k1×(P1-ΔP) / P1=k1(1-ΔP / P1). Substituting k1=fj1() and P1=Fj1(), we can get: kj1=fj1()·(1-ΔP / Fj1()).

[0053] Among them, kj1 is a key parameter for assessing oil deposits. It only reflects the resistance of the exhaust structure itself. When oil adheres to the impeller and the inner wall of the volute, the structural resistance increases, and kj1 increases accordingly; conversely, kj1 will decrease after cleaning. If the back pressure ΔP is not eliminated, the spurious resistance coefficient k1 will misjudge the oil situation due to back pressure fluctuations (such as changes in the pressure of the common flue). For example, an increase in back pressure will cause k1 to increase, which is easily mistaken for thicker oil. However, kj1 can completely avoid this interference.

[0054] However, the mapping information of fj1() and Fj1() in the current operating environment is unknown and cannot be directly substituted into the calculation. Therefore, it is necessary to borrow the known mappings of fj0() and Fj0() from the laboratory. Specifically, the operating parameters n1 and I1 of the range hood in the current operating environment are first converted into the corresponding parameters of the preset benchmark environment. The conversion formula is n0=[(Pt1·T0) / (Pt0·T1)] 0.5 ·n1, I0=I1; then substitute n0 and I0 into fj0(n0,I0) and Fj0(n0,I0) respectively for calculation, and the real-time structural resistance coefficient characterizing the degree of oil pollution deposition can be obtained, and finally a reasonable and accurate judgment of the oil pollution deposition situation in high-altitude user sites can be achieved.

[0055] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application eliminate the interference of non-oil-stained factors such as public flue pressure, flue specifications, and check valve status, so that the real-time structural resistance coefficient is only related to the oil stain deposition depth, avoiding misjudgment of oil stains due to changes in the external environment, and making the cleaning reminder more accurate.

[0056] S107 assesses the degree of grease buildup on range hoods based on real-time structural drag coefficient.

[0057] Specifically, the real-time structural drag coefficient is a key parameter for assessing oil deposits. It only reflects the resistance of the exhaust structure itself. When oil adheres to the impeller and the inner wall of the volute, the structural resistance increases, and the real-time structural drag coefficient increases accordingly. Conversely, the real-time structural drag coefficient will decrease after cleaning.

[0058] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application obtain the real-time speed of the range hood motor and the real-time atmospheric pressure and temperature of the current usage environment. Based on these environmental parameters, the real-time speed is converted into the speed corresponding to a preset reference altitude, thereby unifying the speed data under different environments to a standard reference dimension. This breaks the limitation of existing algorithms that rely on calibration data from specific regions, and fundamentally eliminates the interference of air state changes on motor parameters. On this basis, the real-time structural resistance coefficient is determined by combining the converted reference altitude speed and real-time motor phase current, referring to the correspondence between speed and resistance coefficient calibrated at the preset reference altitude. This coefficient only reflects the true resistance of the exhaust structure itself (including oil stains) and is not affected by the distortion of motor parameters caused by changes in air state. This achieves parameterized and quantitative assessment of the degree of oil stains inside the range hood, no longer relying on empirical fixed time periods or rough estimates to determine cleaning needs. The system can accurately and dynamically monitor and identify subtle changes in structural resistance based on the air state and oil stain accumulation process in each user's actual usage environment. Once a preset pollution threshold is reached, a cleaning reminder is immediately triggered. This mechanism not only avoids the problem of premature or delayed cleaning warnings caused by environmental differences in traditional methods, but also realizes personalized intelligent maintenance prompts, significantly improving the accuracy, consistency and environmental adaptability of oil stain assessment, and providing users with a more scientific and reliable user experience.

[0059] In an exemplary embodiment, step S107 may include: comparing the real-time structural resistance coefficient with the initial structural resistance coefficient of the range hood in the current usage environment to obtain a target comparison result; the target comparison result indicates the degree of oil stain deposition on the range hood.

[0060] Accordingly, the initial structural resistance coefficient can be obtained through the following steps: obtaining the initial speed of the range hood motor under the initial motor phase current drive, the initial atmospheric pressure and initial temperature of the range hood in the current usage environment; based on the initial atmospheric pressure and initial temperature, converting the initial speed into the motor speed corresponding to the preset reference altitude under the initial motor phase current drive; based on the motor speed corresponding to the preset reference altitude obtained after the initial speed conversion and the initial motor phase current, combined with the preset resistance coefficient mapping information, determining the initial structural resistance coefficient of the range hood.

[0061] The initial structural resistance coefficient is the structural resistance coefficient calculated in the current usage environment when the range hood is in a state free of oil stains (such as brand new condition at the factory or within 24 hours after cleaning). It serves as the benchmark reference value for subsequent oil stain assessment. Unlike the resistance coefficient at the benchmark altitude, it needs to be compared with the real-time coefficient of the current environment in the same dimension.

[0062] Specifically, the initial parameters under the current usage environment refer to the initial speed, initial atmospheric pressure, and initial temperature collected after the motor has been running stably (3 minutes after power-on) following initial installation or cleaning. In practice, these initial parameters must be stored in the range hood's non-volatile memory to prevent loss upon power failure. Initial parameter collection requires both the absence of oil contamination and a stable environment. If the user collects data immediately after installation, it must be ensured that there is no residual oil contamination inside the range hood. If collecting data after cleaning, the range hood must be allowed to dry completely (to prevent moisture from affecting duct resistance), and the kitchen doors and windows must be closed during data collection (to prevent external airflow from interfering with atmospheric pressure and temperature).

[0063] In practice, the range hood is run without a case to obtain the ambient temperature of the current operating environment (i.e., the initial temperature T). 1初始 And calculate the corresponding atmospheric pressure (i.e., the initial atmospheric pressure Pt). 1初始 These two initial parameters are stored as constants in the range hood's memory, serving as the baseline for subsequent calculations. After obtaining the initial temperature and pressure, the exhaust pipe is connected to obtain the initial structural resistance coefficient kj of the range hood under the current operating environment. 1初始 Special attention should be paid to calculating kj at this point. 1初始 The motor speed used must be calculated according to n0=[(Pt1·T0) / (Pt0·T1)] 0.5 • n1 needs to be corrected; otherwise, subsequent oil stain cleaning reminders may be premature or delayed. Initial structural drag coefficient kj 1初始 It is also stored in memory as a constant. During subsequent use, the range hood automatically calculates the real-time structural resistance coefficient periodically. When correcting the rotation speed, the real-time temperature T1 is directly measured by the sensor, and the real-time atmospheric pressure Pt1 is calculated using Pt1=T 1初始 Pt 1初始 / T1 is calculated using the formula; the real-time structural drag coefficient kj1 is calculated based on the corrected parameters, and then kj1 is compared with the kj stored in memory. 1初始 By making comparisons, the degree of grease buildup on range hoods can be accurately monitored. For example, kj1 > s·kj 1初始 When the range hood needs cleaning, the setting will indicate that the s value is 1.5~5.

[0064] As can be seen from the above technical solutions of the embodiments of this application, the embodiments of this application replace the traditional fixed threshold judgment by comparing the initial state of the device itself, adapting to the individual differences of different models of range hoods (such as different brands of range hoods having different initial duct resistance), avoiding the problem of misjudging models with low resistance and missing models with high resistance by using a uniform threshold, making the evaluation more in line with the actual use of a single device.

[0065] Corresponding to the oil stain monitoring methods for range hoods provided in the above embodiments, this application also provides an oil stain monitoring device for range hoods. Since the oil stain monitoring device for range hoods provided in this application corresponds to the oil stain monitoring methods for range hoods provided in the above embodiments, the implementation methods of the aforementioned oil stain monitoring methods for range hoods are also applicable to the oil stain monitoring device for range hoods provided in this embodiment, and will not be described in detail in this embodiment.

[0066] Please see Figure 3 The diagram shows a schematic of an oil stain monitoring device for a range hood provided in an embodiment of this application. This device has the function of implementing the oil stain monitoring method for the range hood described in the above method embodiments. This function can be implemented by hardware or by hardware executing corresponding software. Figure 3 As shown, the device may include: The information acquisition module 310 is used to acquire the real-time speed of the range hood motor when it is driven by the real-time motor phase current, as well as the real-time atmospheric pressure and real-time temperature of the current operating environment of the range hood. The speed conversion module 320 is used to convert the real-time speed into the motor speed corresponding to the preset reference altitude under the real-time motor phase current drive, based on the real-time atmospheric pressure and real-time temperature. The resistance coefficient module 330 is used to determine the real-time structural resistance coefficient of the range hood based on the motor speed and real-time motor phase current corresponding to the preset reference altitude obtained after real-time speed conversion, combined with the preset resistance coefficient mapping information; wherein, the preset resistance coefficient mapping information is the correspondence between the range hood motor speed and resistance coefficient under different motor phase currents calibrated at the preset reference altitude. The oil stain assessment module 340 is used to assess the degree of oil stain deposition on the range hood based on the real-time structural drag coefficient.

[0067] In one exemplary embodiment, the speed conversion module includes: The first benchmark acquisition module is used to acquire the benchmark atmospheric pressure and benchmark temperature corresponding to the preset benchmark altitude; The speed conversion submodule is used to convert the real-time speed into the motor speed corresponding to the preset reference altitude under the real-time motor phase current drive, based on the proportional relationship between the real-time atmospheric pressure and the reference atmospheric pressure, and the proportional relationship between the reference temperature and the real-time temperature.

[0068] In one exemplary embodiment, the oil stain assessment module further includes a coefficient comparison module, which is used to compare the real-time structural resistance coefficient with the initial structural resistance coefficient of the range hood in the current usage environment to obtain a target comparison result; the target comparison result indicates the degree of oil stain deposition on the range hood. Accordingly, the device also includes an initial resistance coefficient module for determining the initial structural resistance coefficient of the range hood, the initial resistance coefficient module comprising: The initial acquisition module is used to acquire the initial speed of the range hood motor when it is driven by the initial motor phase current, and the initial atmospheric pressure and initial temperature of the range hood in the current operating environment; The initial speed conversion module is used to convert the initial speed into the motor speed corresponding to the preset reference altitude under the initial motor phase current drive, based on the initial atmospheric pressure and initial temperature. The initial coefficient determination module is used to determine the initial structural resistance coefficient of the range hood based on the motor speed and initial motor phase current corresponding to the preset reference altitude obtained after initial speed conversion, combined with the preset resistance coefficient mapping information.

[0069] In one exemplary embodiment, the apparatus further includes a real-time atmospheric pressure determination module, which is used to determine the real-time atmospheric pressure based on the real-time temperature, the initial atmospheric pressure, and the initial temperature, combined with the negative correlation between temperature and atmospheric pressure.

[0070] In one exemplary embodiment, the apparatus further includes an initial atmospheric pressure determination module for determining the initial atmospheric pressure of the range hood under the current operating environment. The initial atmospheric pressure determination module includes: The second reference acquisition module is used to acquire the preset reference motor phase current and reference speed; the reference speed is the motor speed of the range hood motor when it is driven by the reference motor phase current under the reference temperature and reference atmospheric pressure environment. The reference control module is used to control the range hood motor to operate under the current operating environment based on the reference motor phase current and to record the current speed of the range hood motor. The initial air pressure module is used to determine the initial atmospheric pressure of the range hood under the current operating environment based on the current rotation speed, initial temperature, reference rotation speed, reference temperature and reference atmospheric pressure.

[0071] In one exemplary embodiment, the resistance coefficient in the preset resistance coefficient mapping information is a false resistance coefficient when the range hood is subjected to back pressure; the resistance coefficient module includes: The spurious coefficient module is used to determine the spurious resistance coefficient when the range hood is superimposed with back pressure, based on the motor speed and real-time motor phase current corresponding to the preset reference altitude obtained after real-time speed conversion, combined with the preset resistance coefficient mapping information. The static pressure determination module is used to determine the static pressure of the range hood based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with the preset fan static pressure mapping information; wherein, the preset fan static pressure mapping information is the correspondence between the range hood motor speed and the range hood fan static pressure under different motor phase currents calibrated at the preset reference altitude. The real-time coefficient determination module is used to determine the real-time structural resistance coefficient of the range hood after removing the back pressure, based on the spurious resistance coefficient, the static pressure of the fan, and the back pressure of the range hood's exhaust system.

[0072] It should be noted that the apparatus provided in the above embodiments is only illustrated by the division of the above functional modules when implementing its functions. 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. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0073] This application provides an intelligent range hood, which includes a processor and a memory. The memory stores at least one instruction or at least one program. The processor loads and executes the at least one instruction or at least one program to implement any of the oil stain monitoring methods for range hoods provided in the above method embodiments.

[0074] Memory is used to store software programs and modules. The processor executes these stored software programs and modules to perform various functional applications and data processing. Memory can primarily consist of a program storage area and a data storage area. The program storage area stores the operating system, application programs required for functionality, etc.; the data storage area stores data created based on device usage, etc. Furthermore, memory can include high-speed random access memory (RAM) and non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, memory can also include a memory controller to provide the processor with access to the memory.

[0075] The method embodiments provided in this application can be executed in a computer terminal, server or similar computing device, that is, the above-mentioned intelligent range hood may include a computer terminal, server or similar computing device. Figure 4 This is a hardware structure block diagram of a computer device for running an oil stain monitoring method for a range hood, as provided in an embodiment of the present invention. Figure 4As shown, the internal structure of this computer device may include, but is not limited to, a processor, a network interface, and a memory. The processor, network interface, and memory within the computer device can be connected via a bus or other means, as illustrated in the embodiments of this specification. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0076] The processor (or CPU, Central Processing Unit) is the computing and control core of the computer device. The network interface may optionally include a standard wired interface or a wireless interface (such as Wi-Fi, mobile communication interface, etc.). Memory is the storage device in the computer device used to store programs and data. It is understood that the memory here can be a high-speed RAM storage device, or a non-volatile storage device, such as at least one disk storage device; optionally, it can also be at least one storage device located remotely from the aforementioned processor. The memory provides storage space containing the operating system of the intelligent range hood, which may include, but is not limited to: Windows (an operating system), Linux (an operating system), Android (a mobile operating system), iOS (a mobile operating system), etc., and this invention does not limit this; furthermore, the storage space also contains one or more instructions suitable for loading and execution by the processor, which may be one or more computer programs (including program code). In the embodiments of this specification, the processor loads and executes one or more instructions stored in the memory to implement the oil stain monitoring method for the range hood provided in the above method embodiments.

[0077] Embodiments of this application also provide a computer-readable storage medium, which can be disposed in a smart range hood to store at least one instruction or at least one program related to implementing an oil stain monitoring method for a range hood. The at least one instruction or the at least one program is loaded and executed by the processor to implement any of the oil stain monitoring methods for a range hood provided in the above-described method embodiments.

[0078] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0079] It should be noted that the order of the embodiments described above is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. Furthermore, specific embodiments have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than that shown in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0080] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the apparatus embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0081] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk.

[0082] The above are merely preferred embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for monitoring oil stains in a range hood, characterized in that, The method includes: The real-time rotational speed of the range hood motor under real-time motor phase current drive is obtained, as well as the real-time atmospheric pressure and real-time temperature of the current operating environment of the range hood. Based on the real-time atmospheric pressure and the real-time temperature, the real-time rotational speed is converted into the motor rotational speed corresponding to the preset reference altitude under the real-time motor phase current drive. Based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with the preset resistance coefficient mapping information, the real-time structural resistance coefficient of the range hood is determined; wherein, the preset resistance coefficient mapping information is the correspondence between the range hood motor speed and the resistance coefficient under different motor phase currents calibrated at the preset reference altitude. The degree of grease buildup in the range hood is assessed based on the real-time structural drag coefficient.

2. The method for monitoring oil stains in a range hood according to claim 1, characterized in that, The step of converting the real-time rotational speed into the motor rotational speed corresponding to the preset reference altitude under the real-time motor phase current drive, based on the real-time atmospheric pressure and the real-time temperature, includes: Obtain the reference atmospheric pressure and reference temperature corresponding to the preset reference altitude; Based on the proportional relationship between the real-time atmospheric pressure and the reference atmospheric pressure, and the proportional relationship between the reference temperature and the real-time temperature, the real-time rotational speed is converted into the motor rotational speed corresponding to the preset reference altitude under the real-time motor phase current drive.

3. The method for monitoring oil stains in a range hood according to claim 2, characterized in that, The assessment of the degree of grease buildup on the range hood based on the real-time structural drag coefficient includes: By comparing the real-time structural resistance coefficient with the initial structural resistance coefficient of the range hood under the current usage environment, a target comparison result is obtained; the target comparison result indicates the degree of grease buildup on the range hood. Accordingly, the method further includes: The initial speed of the range hood motor when it is driven by the initial motor phase current, and the initial atmospheric pressure and initial temperature of the range hood under the current operating environment are obtained. Based on the initial atmospheric pressure and the initial temperature, the initial rotational speed is converted into the motor rotational speed corresponding to the preset reference altitude under the initial motor phase current drive; Based on the motor speed corresponding to the preset reference altitude obtained after the initial speed conversion and the initial motor phase current, combined with the preset resistance coefficient mapping information, the initial structural resistance coefficient of the range hood is determined.

4. The method for monitoring oil stains in a range hood according to claim 3, characterized in that, The method further includes: Based on the real-time temperature, the initial atmospheric pressure, and the initial temperature, combined with the negative correlation between temperature and atmospheric pressure, the real-time atmospheric pressure is determined.

5. The method for monitoring oil stains in a range hood according to claim 4, characterized in that, The method further includes: Obtain preset reference motor phase current and reference speed; the reference speed is the motor speed of the range hood motor when it is driven by the reference motor phase current under the reference temperature and the reference atmospheric pressure. The range hood motor is controlled to operate under the current operating environment based on the reference motor phase current, and the current speed of the range hood motor is recorded. Based on the current rotation speed, the initial temperature, the reference rotation speed, the reference temperature, and the reference atmospheric pressure, the initial atmospheric pressure of the range hood under the current operating environment is determined.

6. The method for monitoring oil stains in a range hood according to claim 1, characterized in that, The resistance coefficient in the preset resistance coefficient mapping information is a false resistance coefficient when the range hood is subjected to back pressure; the determination of the real-time structural resistance coefficient of the range hood based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with the preset resistance coefficient mapping information, includes: Based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with the preset resistance coefficient mapping information, the false resistance coefficient of the range hood when back pressure is superimposed is determined. Based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with the preset fan static pressure mapping information, the fan static pressure of the range hood is determined; wherein, the preset fan static pressure mapping information is the correspondence between the range hood motor speed and the range hood fan static pressure under different motor phase currents calibrated at the preset reference altitude. Based on the spurious resistance coefficient, the static pressure of the fan, and the back pressure of the exhaust system of the range hood, the real-time structural resistance coefficient of the range hood after removing the back pressure is determined.

7. An oil stain monitoring device for a range hood, characterized in that, The device includes: The information acquisition module is used to acquire the real-time rotational speed of the range hood motor when it is driven by the real-time motor phase current, as well as the real-time atmospheric pressure and real-time temperature of the current operating environment of the range hood. The speed conversion module is used to convert the real-time speed into the motor speed corresponding to the preset reference altitude under the real-time motor phase current drive, based on the real-time atmospheric pressure and the real-time temperature. The resistance coefficient module is used to determine the real-time structural resistance coefficient of the range hood based on the motor speed corresponding to the preset reference altitude obtained after real-time speed conversion and the real-time motor phase current, combined with preset resistance coefficient mapping information; wherein, the preset resistance coefficient mapping information is the correspondence between the range hood motor speed and resistance coefficient under different motor phase currents calibrated at the preset reference altitude. The oil stain assessment module is used to assess the degree of oil stain deposition in the range hood based on the real-time structural resistance coefficient.

8. A smart range hood, characterized in that, The system includes a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the oil stain monitoring method for the range hood as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing at least one instruction or at least one program, wherein the at least one instruction or the at least one program is loaded and executed by a processor to implement the oil stain monitoring method for a range hood as described in any one of claims 1 to 6.

10. A computer program, characterized in that, When the computer program is executed by the processor, it implements the oil stain monitoring method for the range hood according to any one of claims 1 to 6.

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