Range hood, cleaning reminding method and device for optical sensor of range hood, computer readable storage medium and computer program product

Abstract

The invention provides a smoke exhaust ventilator and a cleaning reminding method and device for an optical sensor of the smoke exhaust ventilator, a computer readable storage medium and a computer program product, and the cleaning reminding method comprises the steps that environment data during operation of the smoke exhaust ventilator are obtained, and the environment data at least comprise the oil smoke concentration and the environment humidity; determining an oil smoke concentration change rate according to the oil smoke concentration; according to the oil smoke concentration change rate, the oil smoke concentration and the environment humidity, the corresponding oil film thickness increase amount in unit time is determined; counting the cooking duration, and estimating the new increment of the oil film thickness on the optical sensor according to the cooking duration and the corresponding increment of the oil film thickness in unit time; and obtaining a total oil film thickness cumulant according to the new oil film thickness increment and the historical cumulant, and executing cleaning reminding of the optical sensor at least based on the total oil film thickness cumulant. According to the scheme, the accuracy of cleaning reminding of the optical sensor can be improved.

Description

Technical Field

[0001] This invention relates to the field of range hood technology, and in particular to a cleaning reminder method, device, computer-readable storage medium, and computer program product for a range hood and its optical sensor. Background Technology

[0002] A range hood is a household appliance used to purify the kitchen environment. It quickly removes waste from stove combustion and cooking fumes to the outside, reducing air pollution in the kitchen. Some range hoods incorporate various types of sensors, such as optical sensors and environmental sensors. With use, grease and grime accumulate on the sensors, requiring regular cleaning to ensure the proper functioning of the range hood's automatic detection features. For example, with optical sensors, users need to clean the sensor lens.

[0003] Currently, the timing of cleaning optical sensors is usually determined based on time. However, due to different cooking habits among different users, the degree of oil contamination on the sensors varies under different cooking habits, resulting in low accuracy in determining the timing of cleaning optical sensors based on time. Summary of the Invention

[0004] The technical problem solved by this invention is the low accuracy of determining the cleaning timing of optical sensors based on time.

[0005] To address the aforementioned technical problems, this invention provides a cleaning reminder method for an optical sensor of a range hood, comprising: acquiring environmental data during the operation of the range hood, the environmental data including at least oil fume concentration and ambient humidity; determining the rate of change of oil fume concentration based on the oil fume concentration; determining the corresponding increase in oil film thickness per unit time based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity; calculating the cooking time; estimating the increase in oil film thickness on the optical sensor based on the cooking time and the corresponding increase in oil film thickness per unit time; obtaining a total cumulative oil film thickness based on the increase in oil film thickness and historical cumulative amounts; and executing a cleaning reminder for the optical sensor based at least on the total cumulative oil film thickness.

[0006] Compared with the prior art, the technical solution of the embodiments of the present invention has the following beneficial effects:

[0007] By acquiring environmental data during the operation of the range hood, such as oil fume concentration and ambient humidity, the rate of change of oil fume concentration is determined. Then, based on the rate of change of oil fume concentration, the corresponding increase in oil film thickness per unit time is determined. Furthermore, based on the cooking time and the corresponding increase in oil film thickness per unit time, the increase in oil film thickness on the optical sensor is estimated. At least based on the total cumulative oil film thickness obtained from the increase in oil film thickness and historical cumulative values, a cleaning reminder is issued for the optical sensor. The optical sensor is typically exposed to the environment, and sudden changes in oil fume concentration affect the adhesion of oil fumes to the optical sensor. The rate of change of oil fume concentration characterizes these sudden changes, representing the oil fume concentration and flue gas flow rate per unit time. A large rate of change indicates an increase in oil fume per unit time, increasing the probability of oil fume rising or spreading, making it easier for oil fumes to adhere to the optical sensor. When oil fumes are present in the environment, ambient humidity affects the hygroscopicity and adhesiveness of the oil fume particles, thus affecting the ease with which oil fumes adhere to the optical sensor. When there is no cooking fumes or the concentration of cooking fumes is extremely low in the environment, and the ambient humidity is relatively high, the impact of cooking fumes on the optical sensor is minimal, and they are less likely to adhere to the sensor. Since the rate of change in cooking fume concentration, the concentration of cooking fumes, and the ambient humidity are fully considered when determining the increase in oil film thickness per unit time, and these factors accurately reflect the user's cooking habits, the increase in oil film thickness accurately reflects the actual impact of cooking fumes on the optical sensor. Therefore, using the cumulative total oil film thickness obtained from the increase in oil film thickness to provide cleaning reminders for the optical sensor can improve the accuracy of the cleaning reminder timing.

[0008] Optionally, determining the corresponding increase in oil film thickness per unit time based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity includes: determining the oil fume concentration level based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity; and determining the increase in oil film thickness per unit time corresponding to the oil fume concentration level based on the oil fume concentration level.

[0009] Optionally, the environmental data also includes ambient temperature. Determining the increase in oil film thickness per unit time corresponding to the oil fume concentration level includes: determining the current cooking mode based on the oil fume concentration level, the oil fume concentration, the ambient temperature, and / or the ambient humidity, wherein each oil fume concentration level includes one or more cooking modes; obtaining the baseline increase in oil film thickness per unit time corresponding to the oil fume concentration level, and the adjustment coefficient corresponding to the current cooking mode; and obtaining the increase in oil film thickness per unit time based on the baseline increase in oil film thickness per unit time and the adjustment coefficient. Since different cooking modes have different characteristics, their impact on oil fume adhesion to the optical sensor varies. Therefore, by confirming the cooking mode and adjusting the baseline increase in oil film thickness per unit time using the adjustment coefficient corresponding to the cooking mode, the baseline increase in oil film thickness per unit time can be obtained. This improves the fit between the determined baseline increase in oil film thickness per unit time and the actual cooking situation, thereby improving the accuracy of the cleaning reminder from the optical sensor.

[0010] Optionally, the step of executing the cleaning reminder for the optical sensor based at least on the total cumulative oil film thickness includes: determining whether the total cumulative oil film thickness is greater than or equal to a first threshold; if the total cumulative oil film thickness is greater than or equal to the first threshold, performing a cleaning self-detection operation on the optical sensor to obtain a cleaning self-detection result; and determining whether to execute the cleaning reminder for the optical sensor based on the cleaning self-detection result. By comprehensively determining whether to execute a cleaning reminder for the optical sensor using both the total cumulative oil film thickness and the cleaning self-detection result, the accuracy of the cleaning reminder can be further improved.

[0011] Optionally, the environmental data also includes ambient temperature. The step of performing a self-cleaning detection operation on the optical sensor to obtain a self-cleaning detection result includes: determining the current cooking mode based on the oil fume concentration combined with the ambient temperature and / or the ambient humidity; acquiring a standard curve of the optical sensor under the current cooking mode; obtaining an actual curve based on the data collected by the optical sensor under the current cooking mode; and determining the deviation between the actual curve and the standard curve, wherein the self-cleaning detection result includes the deviation.

[0012] Optionally, determining whether to issue a cleaning reminder for the optical sensor based on the cleaning self-detection result includes: issuing a cleaning reminder for the optical sensor if the deviation reaches a set deviation threshold.

[0013] Optionally, the actual curve and the standard curve are curves characterizing temperature changes, and determining the deviation between the actual curve and the standard curve includes: obtaining the highest temperature in the actual curve and the highest temperature in the standard curve; and determining the deviation between the highest temperature in the actual curve and the highest temperature in the standard curve.

[0014] Optionally, before acquiring the standard curve of the optical sensor under the current cooking mode, the method further includes: determining that the current cooking mode belongs to a specified cooking mode, which includes at least one of the following: boiling mode and cooking mode. The temperature changes during the cooking process in the specified cooking mode are not affected by the user's cooking habits and have the same temperature change pattern. Therefore, the deviation between the actual curve obtained from the ambient temperature collected under the specified cooking mode and the standard curve can more accurately reflect the degree of oil fume contamination of the optical sensor. Based on whether the deviation reaches a set deviation threshold, it can be determined whether to execute a cleaning reminder for the optical sensor, thereby improving the accuracy of the cleaning reminder.

[0015] Optionally, the step of triggering the cleaning reminder for the optical sensor based at least on the cumulative total oil film thickness includes: if the cleaning self-detection result indicates that the cleaning reminder for the optical sensor should not be triggered; if the cumulative cooking time is calculated based on the cooking time, and the cumulative cooking time is determined to be greater than a cooking time threshold; if the cumulative cooking time is greater than the cooking time threshold, the cleaning reminder for the optical sensor is triggered. Since the oil film formed is easily solidified as the oil fumes adhere to the lens of the optical sensor for an extended period, and the solidified oil film is difficult to clean, some users' cooking habits tend to produce less oil fumes. Therefore, the cleaning reminder for the optical sensor may not be triggered based on either the cleaning self-detection result or the cumulative total oil film thickness. If the cumulative cooking time exceeds the cooking time threshold, triggering the cleaning reminder for the optical sensor can promptly remind the user to clean the oil stains on the optical sensor, preventing oil stains from adhering to the lens of the optical sensor for a long time and reducing the difficulty of cleaning the lens of the optical sensor.

[0016] Optionally, the cleaning reminder method further includes: periodically determining whether the fume level has changed based on the rate of change of fume concentration and the fume concentration; if the fume level changes, then re-determining the fume concentration level based on the rate of change of fume concentration, the fume concentration, and the ambient humidity. During cooking, the fume concentration changes, and even under the same cooking mode, there may be situations where the fume concentration changes significantly. This requires further improvement in the accuracy of determining the increase in oil film thickness and the accuracy of the cleaning reminder.

[0017] This invention also provides a cleaning reminder device for an optical sensor of a range hood, comprising: an acquisition unit for acquiring environmental data during the operation of the range hood, the environmental data including at least oil fume concentration and ambient humidity; an oil fume concentration change rate determination unit for determining the oil fume concentration change rate based on the oil fume concentration; an oil film thickness increase determination unit for determining the corresponding oil film thickness increase per unit time based on the oil fume concentration change rate, the oil fume concentration, and the ambient humidity; an estimation unit for calculating the cooking time and estimating the increase in oil film thickness on the optical sensor based on the cooking time and the corresponding increase in oil film thickness per unit time; and a reminder unit for obtaining a total cumulative oil film thickness based on the increase in oil film thickness and historical cumulative amounts, and executing a cleaning reminder for the optical sensor based at least on the cumulative oil film thickness.

[0018] This invention also provides a computer-readable storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, performs the steps of the cleaning reminder method for the optical sensor in any of the above-described range hoods.

[0019] This invention also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the cleaning reminder method for the optical sensor in any of the above-described range hoods.

[0020] This invention also provides a range hood, including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor runs the computer program, it executes the steps of the cleaning reminder method for the optical sensor in any of the above-described range hoods. Attached Figure Description

[0021] Figure 1 This is a flowchart of a cleaning reminder method for an optical sensor of a range hood according to an embodiment of the present invention;

[0022] Figure 2 This is a flowchart of another cleaning reminder method for an optical sensor of a range hood in an embodiment of the present invention;

[0023] Figure 3 This is a schematic diagram of the structure of a cleaning reminder device for an optical sensor of a range hood according to an embodiment of the present invention. Detailed Implementation

[0024] To make the above-mentioned objectives, features and beneficial effects of the embodiments of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] With the development of intelligent range hoods, they are typically equipped with various types of sensors, including optical sensors and environmental sensors. These sensors work together to achieve automated functions. For example, optical sensors can include cameras, infrared temperature sensors, and infrared sensors. By monitoring the stove temperature in real time with an infrared temperature sensor, the range hood can adjust its operating status according to actual needs, effectively saving energy. Specifically, the infrared temperature sensor can measure the stove temperature in real time. When the stove is lit, the infrared temperature sensor can automatically turn on the range hood. As the stove temperature rises and a large amount of smoke is produced, the range hood will correspondingly increase the fan speed to improve the smoke absorption rate. When the stove flame goes out, the range hood will automatically turn off after a delay. This intelligent control function greatly enhances the user experience, requiring no manual operation from the user. Infrared sensors can detect the infrared radiation from the human body, thereby sensing the distance between the person and the range hood or their actions to automatically turn the range hood on and off, as well as the lights.

[0026] Since optical sensors are typically exposed to the environment, lenses (also called mirrors) are usually installed on them to prevent the influence of cooking fumes. With the use of the range hood, grease adheres to the lens, forming an oil film. This oil film affects the accuracy of the data collected by the optical sensor, leading to a decrease in sensor precision. Consequently, the probability of failure for some automatic detection functions based on the optical sensor increases significantly, affecting the normal operation of the range hood.

[0027] This invention provides a cleaning reminder method for an optical sensor in a range hood. This cleaning reminder method (hereinafter referred to as the cleaning reminder method) can be used to remind the optical sensor to clean. The cleaning reminder method can be executed by the existing control device in the range hood, or by a specially designed control device for cleaning reminders; no limitation is made here.

[0028] Reference Figure 1 The present invention provides a flowchart of a cleaning reminder method for an optical sensor of a range hood according to an embodiment of the present invention. The cleaning reminder method may include the following steps 11 to 15.

[0029] Step 11: Obtain environmental data during the operation of the range hood, including at least the concentration of cooking fumes and the ambient humidity.

[0030] Step 12: Determine the rate of change of oil fume concentration based on the oil fume concentration.

[0031] Step 13: Determine the corresponding increase in oil film thickness per unit time based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity.

[0032] Step 14: Calculate the cooking time and estimate the increase in oil film thickness on the optical sensor based on the cooking time and the corresponding increase in oil film thickness per unit time.

[0033] Step 15: Obtain the total cumulative oil film thickness based on the increase in oil film thickness and the historical cumulative amount, and execute the cleaning reminder of the optical sensor based at least on the total cumulative oil film thickness.

[0034] As shown above, optical sensors are typically exposed to the environment. Sudden changes in oil fume concentration affect the adhesion of oil fume to the optical sensor. The rate of change in oil fume concentration can characterize this sudden change, representing the oil fume concentration and flue gas flow rate per unit time. A larger rate of change indicates an increase in oil fume per unit time, increasing the probability of oil fume rising or spreading, making it easier for oil fume to adhere to the optical sensor. When oil fume is present in the environment, ambient humidity affects the hygroscopicity and adhesiveness of the oil fume particles, thus affecting the ease with which oil fume adheres to the optical sensor. Conversely, when there is no oil fume or the oil fume concentration is extremely low, but the ambient humidity is relatively high, the impact of oil fume on the optical sensor is smaller, and it is less likely to adhere to the optical sensor. Since the rate of change in oil fume concentration, oil fume concentration, and ambient humidity are fully considered when determining the increase in oil film thickness per unit time, and these factors can accurately reflect the user's cooking habits, they can relatively realistically reflect the impact of oil fume generated during cooking on the optical sensor. Therefore, the increase in oil film thickness can accurately reflect the actual impact of oil fume on the optical sensor. Therefore, using the cumulative total oil film thickness obtained from the increase in oil film thickness to provide cleaning reminders for optical sensors can improve the accuracy of the cleaning reminder timing.

[0035] For some range hoods that can acquire environmental data during operation but lack the aforementioned cleaning reminder function, the cleaning reminder function can be added through software upgrades. This allows for quick and easy upgrades to the range hood's cleaning reminder method, and is also relatively inexpensive.

[0036] In one specific implementation of step 11, environmental data can be acquired using environmental sensors. Environmental sensors can obtain environmental data by detecting indoor air quality (IAQ). For example, environmental sensors may include a fume concentration detection device. The fume concentration detection device can be a volatile organic compound (VOC) sensor, a PM2.5 sensor, etc. A VOC sensor can detect fume concentration, and can also detect ambient humidity simultaneously. Alternatively, a dedicated humidity sensor can be used to detect ambient humidity. A PM2.5 sensor is used to collect the concentration of oil particles with a diameter less than or equal to 2.5 micrometers. Fume concentration can be detected using a VOC sensor, or it can be determined by combining both a VOC sensor and a PM2.5 sensor.

[0037] Different types of environmental sensors can be placed in different locations on a range hood. For example, a fume concentration detection device can be placed at the fume inlet of the range hood, or in various suitable locations such as inside the fume duct. The fume inlet is where the fumes enter, and the fume duct connects the inlet and outlet, with the outlet connected to the common flue. Fumes are drawn into the fume duct through the inlet and then exit through the outlet into the common flue.

[0038] In practice, existing environmental sensors on the range hood can be reused to obtain environmental data, or dedicated environmental sensors can be installed to obtain environmental data.

[0039] After the range hood is turned on, it can periodically collect environmental data according to a set cycle. The specific value of the set cycle can be configured according to the required accuracy of the cleaning reminders. The shorter the set cycle, the higher the frequency of environmental data collection, the better the match between the environmental data and the actual operating status of the range hood, and correspondingly, the higher the accuracy of the cleaning reminder timing.

[0040] In the specific implementation of step 12, the rate of change of oil fume concentration can be determined based on the oil fume concentration obtained in two adjacent measurements, or two or more oil fume concentrations can be selected according to the set rules, and the rate of change of oil fume concentration can be determined based on the selected two or more oil fume concentrations.

[0041] In some embodiments, the rate of change in oil fume concentration can refer to either the rate of increase or the rate of decrease in oil fume concentration. The rate of change in oil fume concentration reflects the slope of the change in oil fume concentration.

[0042] In some embodiments, the oil fume concentration can be a real-time value or a cumulative value of the oil fume concentration over a set period.

[0043] In one specific implementation of step 13, the corresponding increase in oil film thickness per unit time can be determined based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity. Specifically, the oil fume concentration level is determined based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity; and the increase in oil film thickness per unit time corresponding to the oil fume concentration level is determined based on the oil fume concentration level.

[0044] In some embodiments, a mapping relationship between the rate of change of oil fume concentration, oil fume concentration, ambient humidity, and oil fume concentration level can be preset. The corresponding oil fume concentration level can then be found based on the rate of change of oil fume concentration, oil fume concentration, and ambient humidity. Different oil fume concentration levels correspond to different increases in oil film thickness per unit time. The corresponding increase in oil film thickness per unit time can be determined based on the determined oil fume concentration level. Specifically, a higher oil fume concentration level indicates a greater impact of oil fumes on the optical sensor, and a greater increase in oil film thickness per unit time. Conversely, a lower oil fume concentration level indicates a smaller impact of oil fumes on the optical sensor, and a smaller increase in oil film thickness per unit time.

[0045] The mapping relationship between the rate of change of oil fume concentration, oil fume concentration, and ambient humidity and oil fume concentration level can be pre-set based on the obtained experimental data. Alternatively, the mapping relationship can be pre-set based on data obtained from big data analysis or simulation analysis.

[0046] In some non-limiting embodiments, the oil fume concentration level can be determined based on the rate of change of oil fume concentration, the oil fume concentration, and the rate of change of ambient humidity. The rate of change of ambient humidity reflects the change in humidity and can be either the rate of increase or the rate of decrease in ambient humidity.

[0047] In another specific implementation of step 13, the environmental data may further include ambient temperature. Based on the oil fume concentration level, the oil fume concentration, the ambient temperature, and / or the ambient humidity, a current cooking mode is determined, wherein each oil fume concentration level includes one or more cooking modes; the baseline increase in oil film thickness per unit time corresponding to the oil fume concentration level and the adjustment coefficient corresponding to the current cooking mode are obtained; the oil film thickness increase per unit time is obtained according to the baseline increase in oil film thickness per unit time and the adjustment coefficient.

[0048] For example, the product of the baseline increase in oil film thickness per unit time and the adjustment coefficient is taken as the increase in oil film thickness per unit time.

[0049] In practical implementation, optical sensors can be infrared sensors, cameras, etc. Optical sensors are typically positioned above the cooktop cover of the range hood. Since the optical sensor is not necessarily located in the path of the cooking fumes, even within the same cooking mode with the same fume concentration level, different cooking modes have different characteristics, resulting in varying effects on the optical sensor's fume adhesion. Therefore, by identifying the cooking mode and adjusting the corresponding adjustment coefficient for that mode to determine the baseline increase in oil film thickness per unit time, the accuracy of the cleaning alerts from the optical sensor can be improved.

[0050] In some embodiments, cooking modes may include frying mode, pan-frying mode, stir-frying mode, stewing mode, boiling mode, boiling water mode, etc.

[0051] For example, the cooking modes at the first oil fume concentration level can include frying, pan-frying, and stir-frying; the cooking mode at the second oil fume concentration level is stewing; and the cooking modes at the third oil fume concentration level include boiling and water-boiling. The first oil fume concentration level can also be called the high oil fume concentration level, the second oil fume concentration level can also be called the medium oil fume concentration level, and the third oil fume concentration level can also be called the low oil fume concentration level. The impact of the first, second, and third oil fume concentration levels on oil adhesion on the lens of the optical sensor decreases sequentially.

[0052] It should be noted that the above correspondence between the fume concentration level and the cooking mode is only for illustrative purposes. In practice, cooking modes can be classified in other ways, and fume concentration levels can also be classified in other ways. Therefore, the correspondence between the fume concentration level and the cooking mode will also change accordingly. The specific configuration can be made according to actual needs, and no limitation is made here.

[0053] In some embodiments, after determining the fume concentration level, the cooking modes included in the determined fume concentration level can be obtained. The current cooking mode is determined from the cooking modes included in the determined fume concentration level based on one or more of the fume concentration, ambient temperature, or ambient humidity. For example, different cooking modes correspond to fume concentration ranges, ambient temperature ranges, and ambient humidity ranges, respectively. The current cooking mode is determined based on the fume concentration range to which the fume concentration belongs, the ambient temperature range to which the ambient temperature belongs, or the ambient humidity range to which the ambient humidity belongs.

[0054] Furthermore, the current cooking mode can be determined by combining the range of changes in oil fume concentration. Specifically, different cooking modes correspond to different ranges of changes in oil fume concentration, ranges of oil fume concentration, ranges of ambient temperature, and ranges of ambient humidity. The current cooking mode is determined based on the range of changes in oil fume concentration, the range of oil fume concentration, the range of ambient temperature, or the range of ambient humidity.

[0055] For example, determining whether the current oil fume concentration is greater than or equal to a first oil fume concentration threshold: if the current oil fume concentration is greater than or equal to the first oil fume concentration threshold, the rate of change of oil fume concentration falls within the first oil fume concentration change rate range, the ambient humidity falls within the first humidity range, and the ambient temperature falls within the first temperature range, it is determined to be at the first oil fume concentration level. If the current oil fume concentration is less than the first oil fume concentration threshold but greater than or equal to a second oil fume concentration threshold, the rate of change of oil fume concentration falls within the second oil fume concentration change rate range, the ambient humidity falls within the second humidity range, and the ambient temperature falls within the second temperature range, it is determined to be at the second oil fume concentration level. If the current oil fume concentration is less than the second oil fume concentration threshold, the rate of change of oil fume concentration falls within the third oil fume concentration change rate range, the ambient humidity falls within the third humidity range, and the ambient temperature falls within the third temperature range, it is determined to be at the third oil fume concentration level.

[0056] The aforementioned first oil fume concentration threshold, second oil fume concentration threshold, third oil fume concentration threshold, first oil fume concentration change rate range, second oil fume concentration change rate range, third oil fume concentration change rate range, first humidity range, second humidity range, third humidity range, first temperature range, second temperature range, and third temperature range can be obtained based on empirical values ​​or experimental values.

[0057] After determining the fume concentration level, the cooking mode can be identified based on the characteristics of the cooking modes included in each level. For example, taking the first fume concentration level as including frying, pan-frying, and stir-frying, the fume concentration generated during frying and pan-frying remains relatively high. Specifically, the fume concentration generated during frying and pan-frying is consistently greater than or equal to the first fume concentration threshold, and the temperature is usually relatively high. For stir-frying, however, some moisture is present in the later stages of cooking (e.g., moisture is released or added later when stir-frying vegetables), and the fume concentration decreases when moisture is present. In stir-frying, the fume concentration initially remains greater than or equal to the first fume concentration threshold, then consistently falls below it, meaning the rate of change in fume concentration decreases. In this way, the range of oil fume concentration change rate, humidity range, temperature range and oil fume concentration threshold can be configured for different cooking modes, and the corresponding cooking mode can be determined by the actual oil fume concentration change rate, the oil fume concentration, the ambient temperature and the ambient humidity.

[0058] In reality, residual odors may remain in the environment, causing the concentration of cooking fumes to vary even before cooking begins, even after the range hood is turned on. This concentration changes once cooking starts. To improve the accuracy of cooking time statistics, in some embodiments of this invention, the start time for cooking time statistics can be determined based on the rate of change in cooking fume concentration. For example, when the rate of change in cooking fume concentration exceeds a set threshold, the start time for cooking time statistics is determined.

[0059] In the specific implementation of step 14, the product of cooking time and corresponding increase in oil film thickness per unit time is calculated, and the resulting product is used as the estimated increase in oil film thickness on the optical sensor.

[0060] In one specific implementation of step 15, it is determined whether the cumulative total oil film thickness is greater than or equal to a first threshold. If the cumulative total oil film thickness is greater than or equal to the first threshold, a cleaning self-test operation of the optical sensor is performed to obtain a cleaning self-test result. Based on the cleaning self-test result, it is determined whether to issue a cleaning reminder for the optical sensor. Thus, by combining the cumulative total oil film thickness with the cleaning self-test result to comprehensively determine whether a cleaning reminder for the optical sensor is needed, the accuracy of the cleaning reminder can be further improved.

[0061] In specific implementation, the environmental data also includes ambient temperature. Ambient temperature can be obtained by an optical sensor installed on the range hood. Based on the oil fume concentration combined with the ambient temperature and / or ambient humidity, the current cooking mode is determined; a standard curve of the optical sensor under the current cooking mode is obtained; an actual curve is obtained based on the data collected by the optical sensor under the current cooking mode; the deviation between the actual curve and the standard curve is determined, and the cleaning self-detection result includes the deviation.

[0062] In some embodiments, the standard curve may be a curve determined based on laboratory-obtained temperature values ​​or a curve determined based on temperature values ​​obtained from simulated tests. The actual curve is a curve obtained based on the actual ambient temperature collected under the current cooking mode.

[0063] Research has revealed that oil residue adhering to the lens of an optical sensor forms an oil film that affects the data detected by the sensor. Specifically, there is a discrepancy between the data collected by an optical sensor contaminated with oil and the data collected by a clean optical sensor. Furthermore, the oil film thickness increases with the degree of oil contamination, leading to a greater discrepancy. Therefore, the degree of oil contamination on the optical sensor can be estimated based on this discrepancy. If the discrepancy reaches a set threshold, a cleaning reminder for the optical sensor is triggered. This threshold can be configured based on empirical values ​​or data obtained from laboratory tests.

[0064] The actual curve and the standard curve are curves characterizing temperature changes. The deviation between the actual curve and the standard curve can be determined as follows: specifically, obtain the highest temperature in the actual curve and the highest temperature in the standard curve; determine the deviation between the highest temperature in the actual curve and the highest temperature in the standard curve.

[0065] Before acquiring the standard curve of the optical sensor under the current cooking mode, the method further includes: determining that the current cooking mode belongs to a specified cooking mode, which includes at least one of the following: boiling mode and cooking mode. The temperature change during the cooking process in the specified cooking mode is not affected by the user's cooking habits, and different users have the same temperature change pattern for the same cooking mode. For example, at a certain altitude, the boiling point of water is 100 degrees Celsius. Therefore, the deviation between the actual curve obtained from the ambient temperature collected under the specified cooking mode and the standard curve more accurately reflects the degree of oil fume contamination on the optical sensor. Based on whether the deviation reaches a set deviation threshold, it is determined whether to execute a cleaning reminder for the optical sensor, thus improving the accuracy of the cleaning reminder.

[0066] In some non-limiting embodiments, if the cleaning self-detection result indicates that the cleaning reminder for the optical sensor will not be executed; and if the cumulative cooking time is calculated based on the cooking time, it is determined whether the cumulative cooking time exceeds a cooking time threshold; if the cumulative cooking time exceeds the cooking time threshold, the cleaning reminder for the optical sensor is executed. Because the oil film formed is easily solidified as the oil fumes adhere to the lens of the optical sensor for an extended period, and the solidified oil film is difficult to clean. For some users whose cooking habits favor less oil fumes, the cleaning reminder for the optical sensor may not be triggered based on the cleaning self-detection result or the total cumulative oil film thickness. If the cumulative cooking time exceeds the cooking time threshold, the cleaning reminder for the optical sensor is executed, which can promptly remind the user to clean the oil stains on the optical sensor, preventing oil stains from adhering to the lens of the optical sensor for a long time, thereby reducing the difficulty of cleaning the lens of the optical sensor.

[0067] During cooking, the concentration of cooking fumes changes, and even under the same cooking mode, there can be instances of drastic changes in fume concentration. To further improve the accuracy of determining the increase in oil film thickness and the accuracy of cleaning reminders, in some embodiments, the fume level is periodically determined based on the rate of change of fume concentration and the fume concentration itself. If the fume level changes, the fume concentration level is re-determined based on the rate of change of fume concentration, the fume concentration, and the ambient humidity. Subsequently, the corresponding increase in oil film thickness per unit time is determined based on the re-determined fume concentration level. In step 14, the increase in oil film thickness on the optical sensor for each fume level is determined based on the cooking time at each fume concentration level and the corresponding increase in oil film thickness per unit time. In step 15, the total cumulative oil film thickness is obtained based on the increase in oil film thickness on the optical sensor for each fume level and the historical cumulative amount.

[0068] In step 15, the cleaning reminder for the optical sensor can be given via voice, or by flashing an indicator light or illuminating a reminder indicator. It is understood that other methods can also be used to provide the cleaning reminder for the optical sensor.

[0069] In some non-limiting embodiments, the historical accumulated amount is reset when a reminder to complete cleaning of the optical sensor is detected. For example, the historical accumulated amount is reset to zero.

[0070] To facilitate a better understanding and implementation of the embodiments of the present invention by those skilled in the art, a specific embodiment in a typical scenario is described below, with reference to... Figure 2 The flowchart provided in this embodiment of the invention illustrates the specific workflow of another cleaning reminder method for the optical sensor of a range hood.

[0071] Step 201: Obtain environmental data during the operation of the range hood.

[0072] In practice, environmental data may include oil fume concentration and ambient humidity. Furthermore, environmental data may also include ambient temperature.

[0073] Step 202: Determine the oil fume concentration level for this cooking session.

[0074] In some embodiments, the oil fume concentration level is determined based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity. The specific method for determining the oil fume concentration level can be found in the descriptions above, and will not be repeated here.

[0075] Step 203: Calculate the cooking time for this step.

[0076] Step 204: Calculate the increase in oil film thickness based on cooking time and oil fume concentration level.

[0077] In practical implementation, the increase in oil film thickness per unit time corresponding to the oil fume concentration level can be determined based on the oil fume concentration level. The increase in oil film thickness is calculated based on the cooking time and the corresponding increase in oil film thickness per unit time. For the specific calculation method of the increase in oil film thickness, please refer to the description in the above embodiments, which will not be repeated here.

[0078] Step 205: Calculate the total cumulative oil film thickness based on the increase in oil film thickness and the historical cumulative amount.

[0079] For example, the total cumulative oil film thickness is obtained by adding the increase in oil film thickness to the historical cumulative amount.

[0080] Step 206: Determine whether the total cumulative oil film thickness is greater than or equal to the first threshold.

[0081] If the judgment result is yes, proceed to step 207; if the judgment result is no, proceed to step 201.

[0082] Step 207: Determine whether to enter the specified cooking mode.

[0083] If the judgment result is yes, proceed to step 208; if the judgment result is no, proceed to step 201.

[0084] Step 208: Perform a cleaning self-test operation on the optical sensor.

[0085] For details on the cleaning and self-testing operation of the optical sensor, please refer to the relevant descriptions in the above embodiments, which will not be repeated here.

[0086] Step 209: Determine whether to issue a cleaning reminder for the optical sensor based on the cleaning self-test results.

[0087] If the judgment result is negative, proceed to step 210; if the judgment result is positive, proceed to step 211.

[0088] Step 210: Determine whether the cumulative cooking time is greater than the cooking time threshold.

[0089] If the judgment result is yes, proceed to step 211. If the judgment result is no, proceed to step 201.

[0090] Step 211: Execute the cleaning reminder for the optical sensor.

[0091] This invention also provides a cleaning reminder device for an optical sensor of a range hood, see reference. Figure 3 The cleaning reminder device 30 for the optical sensor of the range hood includes: an acquisition unit 31, used to acquire environmental data during the operation of the range hood, the environmental data including at least the oil fume concentration and ambient humidity; an oil fume concentration change rate determination unit 32, used to determine the oil fume concentration change rate based on the oil fume concentration; an oil film thickness increase determination unit 33, used to determine the corresponding oil film thickness increase per unit time based on the oil fume concentration change rate, the oil fume concentration, and the ambient humidity; an estimation unit 34, used to calculate the cooking time and estimate the increase in oil film thickness on the optical sensor based on the cooking time and the corresponding increase in oil film thickness per unit time; and a reminder unit 35, used to obtain the total cumulative oil film thickness based on the increase in oil film thickness and the historical cumulative amount, and to execute a cleaning reminder for the optical sensor based at least on the cumulative oil film thickness.

[0092] In specific implementations, the cleaning reminder device 30 for the optical sensor of the range hood is used to implement any of the above-described cleaning reminder methods for the optical sensor of the range hood. The cleaning reminder device 30 may further include units for implementing each step of the cleaning reminder method for the optical sensor of the range hood. For the specific working principle and workflow of the cleaning reminder device 30 for the optical sensor of the range hood, please refer to the description in the cleaning reminder method for the optical sensor of the range hood provided in the above embodiments; it will not be repeated here.

[0093] This invention also provides a computer-readable storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, performs the steps of the cleaning reminder method for the optical sensor in any of the above-described range hoods.

[0094] This invention also provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the cleaning reminder method for the optical sensor in any of the above-described range hoods.

[0095] This invention also provides a range hood, including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor runs the computer program, it executes the steps of the cleaning reminder method for the optical sensor in any of the above-described range hoods.

[0096] Although specific embodiments have been described above, these embodiments are not intended to limit the scope of the invention, even when only a single embodiment is described with respect to a particular feature. The feature examples provided in this disclosure are intended to be illustrative and not limiting, unless otherwise stated. In practice, one or more technical features of the dependent claims may be combined with the technical features of the independent claims as needed and where technically feasible, and the technical features from the respective independent claims may be combined in any suitable manner rather than solely by the specific combinations listed in the claims.

[0097] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the scope defined by the claims.

Claims

1. A cleaning reminder method for an optical sensor in a range hood, characterized in that, include: Acquire environmental data during the operation of the range hood, wherein the environmental data includes at least the concentration of cooking fumes and the ambient humidity; The rate of change of oil fume concentration is determined based on the oil fume concentration. The corresponding increase in oil film thickness per unit time is determined based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity. The cooking time is recorded, and based on the cooking time and the corresponding increase in oil film thickness per unit time, the increase in oil film thickness on the optical sensor is estimated. The total cumulative oil film thickness is obtained based on the increase in oil film thickness and the historical cumulative amount, and the cleaning reminder of the optical sensor is executed based at least on the total cumulative oil film thickness.

2. The cleaning reminder method as described in claim 1, characterized in that, The step of determining the corresponding increase in oil film thickness per unit time based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity includes: The oil fume concentration level is determined based on the rate of change of oil fume concentration, the oil fume concentration, and the ambient humidity. Based on the oil fume concentration level, determine the increase in oil film thickness per unit time corresponding to the oil fume concentration level.

3. The cleaning reminder method as described in claim 2, characterized in that, The environmental data also includes ambient temperature. The determination of the oil film thickness increase per unit time corresponding to the oil fume concentration level, based on the oil fume concentration level, includes: Based on the oil fume concentration level, the oil fume concentration, the ambient temperature and / or the ambient humidity, the current cooking mode is determined, wherein each oil fume concentration level includes one or more cooking modes; Obtain the benchmark increase in oil film thickness per unit time corresponding to the oil fume concentration level, and the adjustment coefficient corresponding to the current cooking mode; The increase in oil film thickness per unit time is obtained based on the baseline increase in oil film thickness per unit time and the adjustment coefficient.

4. The cleaning reminder method as described in claim 1, characterized in that, The step of issuing a cleaning reminder for the optical sensor based at least on the total cumulative oil film thickness includes: Determine whether the total cumulative oil film thickness is greater than or equal to a first threshold. If the total cumulative oil film thickness is greater than or equal to the first threshold, the cleaning self-detection operation of the optical sensor is performed to obtain the cleaning self-detection result; Based on the cleaning self-detection results, determine whether to issue a cleaning reminder for the optical sensor.

5. The cleaning reminder method as described in claim 4, characterized in that, The environmental data also includes ambient temperature. The step of performing a cleaning self-detection operation on the optical sensor to obtain cleaning self-detection results includes: The current cooking mode is determined based on the oil fume concentration combined with the ambient temperature and / or the ambient humidity; Obtain the standard curve of the optical sensor under the current cooking mode; The actual curve is obtained based on the data collected by the optical sensor in the current cooking mode; The deviation between the actual curve and the standard curve is determined, and the cleaning self-test result includes the deviation.

6. The cleaning reminder method as described in claim 5, characterized in that, The step of determining whether to issue a cleaning reminder for the optical sensor based on the cleaning self-detection result includes: If the deviation reaches the set deviation threshold, a cleaning reminder for the optical sensor is issued.

7. The cleaning reminder method as described in claim 5, characterized in that, The actual curve and the standard curve are curves characterizing temperature changes. Determining the deviation between the actual curve and the standard curve includes: Obtain the highest temperature in the actual curve and the highest temperature in the standard curve; Determine the deviation between the highest temperature in the actual curve and the highest temperature in the standard curve.

8. The cleaning reminder method as described in claim 5, characterized in that, Before acquiring the standard curve of the optical sensor in the current cooking mode, the method further includes: The current cooking mode is determined to belong to a specified cooking mode, which includes at least one of the following: boiling mode and cooking mode.

9. The cleaning reminder method as described in claim 4, characterized in that, The step of issuing a cleaning reminder for the optical sensor based at least on the total cumulative oil film thickness includes: If the cleaning self-detection results indicate that the cleaning reminder for the optical sensor will not be executed; Based on the cumulative cooking time, determine whether the cumulative cooking time is greater than a cooking time threshold. If the cumulative cooking time exceeds the cooking time threshold, the optical sensor will issue a cleaning reminder.

10. The cleaning reminder method as described in claim 2, characterized in that, Also includes: Periodically determine whether the fume level has changed based on the rate of change in fume concentration and the fume concentration itself. If the fume level changes, the fume concentration level is re-determined based on the rate of change of fume concentration, the fume concentration, and the ambient humidity.

11. A cleaning reminder device for an optical sensor of a range hood, characterized in that, include: The acquisition unit is used to acquire environmental data during the operation of the range hood, wherein the environmental data includes at least the concentration of oil fumes and the ambient humidity. The oil fume concentration change rate determination unit is used to determine the oil fume concentration change rate based on the oil fume concentration; the oil film thickness increase determination unit is used to determine the corresponding oil film thickness increase per unit time based on the oil fume concentration change rate, the oil fume concentration, and the ambient humidity. An estimation unit is used to calculate the cooking time and estimate the increase in oil film thickness on the optical sensor based on the cooking time and the corresponding increase in oil film thickness per unit time. The reminder unit is used to obtain the total cumulative oil film thickness based on the increase in oil film thickness and the historical cumulative amount, and to perform a cleaning reminder for the optical sensor based at least on the cumulative oil film thickness.

12. A computer-readable storage medium having a computer program stored thereon, characterized in that, The computer program, when executed by a processor, performs the steps of the cleaning reminder method for the optical sensor in a range hood according to any one of claims 1 to 10.

13. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 10.

14. A range hood, comprising a memory and a processor, wherein the memory stores a computer program capable of running on the processor, characterized in that, When the processor runs the computer program, it performs the steps of the cleaning reminder method for the optical sensor in the range hood according to any one of claims 1 to 10.

Images