Filter screen life detection method and device, air purification equipment and storage medium

Abstract

The application relates to the technical field of air purification, and discloses a filter screen life detection method and device, air purification equipment and a storage medium. In the process of running the air purification equipment at a target running gear, in response to detecting that the air speed of an air duct is in a stable state, the current duty cycle of a motor is acquired; based on the current duty cycle and a calibration duty cycle corresponding to the target running gear, a duty cycle offset is calculated, and the calibration duty cycle is used to represent the actual duty cycle of the motor when the air purification equipment runs at the target running gear under a brand-new filter screen and a standard air resistance; based on the duty cycle offset, the added air resistance of the filter screen is determined, and the current filtering efficiency of the filter screen under the added air resistance is combined; the current clean air retention rate of the filter screen is determined through the duty cycle offset, the added air resistance and the current filtering efficiency; and the current life state of the filter screen is determined; the filter screen clogging condition can be determined in real time, and the consistency of the filter screen life detection result and the actual filtering condition is improved.

Description

Technical Field

[0001] This invention relates to the field of air purification technology, specifically to a method, apparatus, air purification equipment, and storage medium for detecting filter life. Background Technology

[0002] As a key component of air purification equipment, the degree of clogging of the filter directly affects the changes in the operating parameters and filtration efficiency of the filter equipment. In related technologies, the lifespan of the filter is determined by accumulating the usage time of the filter during actual operation and comparing it with a fixed time threshold. However, this method lacks a comprehensive judgment based on the actual filtration capacity of the filter, leading to inconsistencies between the filter lifespan test results and the actual filtration situation. Summary of the Invention

[0003] This invention provides a filter life testing method, device, air purification equipment, and storage medium to solve the problem of inconsistent filter life testing results with actual filtration conditions due to the lack of comprehensive judgment based on the actual filtration capacity of the filter.

[0004] In a first aspect, the present invention provides a filter life detection method, applied to an air purification device, the air purification device comprising: an air duct provided with a filter and a motor providing airflow power to the air duct, the method comprising: When the air purifier is running at the target operating level, in response to the detection that the air speed in the duct is stable, the current duty cycle of the motor is obtained. Based on the current duty cycle and the calibrated duty cycle corresponding to the target operating gear, the duty cycle offset is calculated. The calibrated duty cycle is used to characterize the actual duty cycle of the motor when the air purifier is running at the target operating gear under the condition of a brand new filter and standard wind resistance. The additional air resistance of the filter is determined based on the duty cycle offset. Based on the initial filtration efficiency corresponding to the increased air resistance and the new filter, determine the current filtration efficiency of the filter under the increased air resistance. Based on the duty cycle offset, the added air resistance, and the current filtration efficiency, determine the current clean air retention rate of the filter. Based on the current clean air retention rate, determine the current lifespan of the filter.

[0005] This invention monitors the deviation of the motor duty cycle from the calibrated value during stable operation of the air purification equipment. Without additional sensors, it quantifies the filter's increased air resistance, current filtration efficiency, and clean air retention rate, thus accurately determining the filter's current lifespan. By comprehensively assessing the filter's actual filtration capacity, it achieves real-time, continuous, and quantitative evaluation of filter performance degradation. This facilitates real-time identification of filter clogging, improving the accuracy of filter lifespan testing results and further enhancing the air purification efficiency of the air purification equipment, thereby improving the consistency between filter lifespan testing results and actual filtration conditions.

[0006] In one alternative implementation, the increased air resistance of the filter is determined based on the duty cycle offset, including: A mapping model between different duty cycle offsets and the increase in air resistance is obtained when the air purifier is running at the target operating level. The mapping model is based on the calibration experiment and the mapping model indicates that the larger the duty cycle offset, the greater the increase in air resistance. Input the duty cycle offset into the mapping model to determine the new air resistance of the filter.

[0007] This invention establishes a mapping model between different duty cycle offsets and increased air resistance based on calibration experiments. When the air purifier is operating at the target speed and the airflow speed in the duct is stable, the real-time acquired current duty cycle offset is input into this mapping model to determine the increased air resistance of the filter. This allows for the direct acquisition of increased air resistance based on the current duty cycle offset during normal operation of the air purifier without the need for additional sensors. The model can be calibrated for different target operating speeds, achieving a reliable mapping from duty cycle offset to increased air resistance, providing a core basis for accurate assessment of filter lifespan.

[0008] In one optional implementation, the current filtration efficiency of the filter under the increased air resistance is determined based on the initial filtration efficiency corresponding to the increased air resistance and the new filter, including: The filter efficiency decay function value is determined based on the added air resistance and the preset filtration efficiency decay function. The preset filtration efficiency decay function is used to characterize the relationship between the severity of the filter efficiency decay and the added air resistance. The larger the added air resistance, the more severe the decay. Based on the initial filtration efficiency and the filtration efficiency decay function value, the current filtration efficiency of the filter under the increased air resistance is determined.

[0009] This invention converts the increased air resistance into a filtration efficiency decay function value by pre-setting a filtration efficiency decay function, and combines it with the initial filtration efficiency to determine the filtration efficiency. This quantifies the degree to which filter clogging leads to a decline in filtration performance, enabling dynamic and accurate calculation of the current filtration efficiency and providing key support for determining the filter's lifespan.

[0010] In one alternative implementation, determining the current lifespan of the filter based on the current clean air retention rate includes: Based on the relationship between the current clean air retention rate and the preset clean air retention rate threshold corresponding to the air purification equipment operating at the target level, the current lifespan status of the filter is determined. The preset clean air retention rate threshold is used to characterize the filter as being in a critical lifespan state.

[0011] This invention determines whether a filter has reached its critical lifespan by comparing the current clean air retention rate with a preset threshold, thus improving the accuracy and reliability of filter replacement reminders.

[0012] In one optional implementation, the current lifespan of the filter is determined by the relationship between the current clean air retention rate and a preset clean air retention rate threshold corresponding to the air purification equipment operating at the target level, including: In response to the current clean air retention rate being greater than the preset clean air retention rate threshold, the current lifespan status of the filter is determined to be "not yet at the end of its lifespan". In response to the current clean air retention rate not being greater than the preset clean air retention rate threshold, the current lifespan status of the filter is determined to be the end of its lifespan.

[0013] This invention compares the current clean air retention rate with a preset clean air retention rate threshold, enabling real-time and accurate assessment of the filter's true remaining lifespan. This avoids waste or substandard filtration caused by replacing filters at fixed intervals, thereby reducing user costs while ensuring purification effectiveness.

[0014] In one alternative implementation, the method further includes: Determine the current operating environment of the air purification equipment; Based on the correspondence between different operating environments and preset clean air retention rate thresholds, the preset clean air retention rate threshold corresponding to the current operating environment is determined.

[0015] This invention determines the preset clean air retention rate threshold corresponding to the current operating environment by establishing the correspondence between different operating environments and preset clean air retention rate thresholds. This allows for differentiated management of filter replacement standards for operating environments with different air quality, thereby maximizing the lifespan of the filter and reducing user replacement costs while ensuring basic purification effects.

[0016] In one alternative implementation, the method further includes: Send the operating data of the air purification equipment to the cloud; In response to receiving an update command from the cloud, at least one of the following is updated based on the update command: the mapping relationship model, the preset filtration efficiency decay function, and the preset clean air retention rate threshold. The update command is obtained by the cloud after performing big data analysis on the operating data of several air purification devices of the same type.

[0017] This invention continuously optimizes the mapping relationship model, presets the filtration efficiency decay function, and presets the clean air retention rate threshold through cloud-based big data, making filter life prediction and performance evaluation more in line with actual operating conditions, realizing automatic equipment optimization, and improving the accuracy of filter life detection.

[0018] In one alternative implementation, the current clean air retention rate of the filter is determined based on the duty cycle offset, the added air resistance, and the current filtration efficiency, including: The current airflow of the air purification equipment is determined based on the duty cycle offset and the added wind resistance. Based on the current air volume, the calibrated air volume of the air purifier when it is running at the target operating level with a brand new filter, the current filtration efficiency, and the initial filtration efficiency, calculate the current clean air retention rate of the filter.

[0019] This invention calculates the current clean air retention rate of the filter by taking into account the current air volume, the calibrated air volume of the air purifier when it is running at the target operating level with a brand new filter, the current filtration efficiency, and the initial filtration efficiency. By integrating the duty cycle offset and the wind resistance model, the current air volume can be obtained. Combined with the change in filtration efficiency, the true clean air retention rate of the filter can be calculated in real time and at low cost, so as to accurately determine the remaining life of the filter.

[0020] Secondly, the present invention provides a filter life detection device for use in air purification equipment. The air purification equipment includes: an air duct equipped with a filter and a motor that provides airflow power to the air duct. The device includes: The acquisition module is used to acquire the current duty cycle of the motor when the air purifier is running at the target operating level, in response to the detection that the wind speed in the air duct is stable. The calculation module is used to calculate the duty cycle offset based on the current duty cycle and the calibrated duty cycle corresponding to the target operating level. The calibrated duty cycle is used to characterize the actual duty cycle of the motor when the air purifier is running at the target operating level with a brand new filter and standard air resistance. The first determining module is used to determine the increased air resistance of the filter based on the duty cycle offset. The second determining module is used to determine the current filtration efficiency of the filter under the increased air resistance based on the initial filtration efficiency corresponding to the increased air resistance and the new filter. The third determination module is used to determine the current clean air retention rate of the filter based on the duty cycle offset, the added air resistance, and the current filtration efficiency. The filter life determination module is used to determine the current life status of the filter based on the current clean air retention rate.

[0021] Thirdly, the present invention provides an air purification device, comprising: an air duct equipped with a filter and a motor providing airflow power to the air duct; the air purification device further comprises a controller, the controller comprising: The memory and the processor are interconnected and communicate with each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the method described in the first aspect or any of its corresponding embodiments.

[0022] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the method described in the first aspect or any corresponding embodiment thereof. Attached Figure Description

[0023] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0024] Figure 1 This is a schematic diagram illustrating an application scenario of the filter life detection method according to an embodiment of the present invention; Figure 2 This is a schematic diagram of the first process of a filter life detection method according to an embodiment of the present invention; Figure 3 This is a schematic diagram of a second process for a filter life detection method according to an embodiment of the present invention; Figure 4 This is a hardware block diagram of a filter life detection system according to an embodiment of the present invention; Figure 5 This is a schematic diagram of the application process of the filter life detection method according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the calibration curve of offset and added wind resistance according to an embodiment of the present invention; Figure 7This is a schematic diagram of the attenuation model curve of the newly added wind resistance and clean air retention rate according to an embodiment of the present invention; Figure 8 This is a schematic diagram of the workflow for cloud-based model training and optimization according to an embodiment of the present invention; Figure 9 This is a structural block diagram of a filter life detection device according to an embodiment of the present invention; Figure 10 This is a schematic diagram of the controller of the air purification device according to an embodiment of the present invention. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0027] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0028] As an optional application scenario of this invention, such as Figure 1 As shown, the air purification device includes an air duct 102 with a filter 101 and a motor 103 that provides airflow power to the air duct 102. The air purification device also includes a controller 104, which is used to execute a filter life detection method. The overall process of the controller 104 executing the filter life detection method is detailed in the relevant description of the method embodiment below, and will not be repeated here.

[0029] In this embodiment, the air purification device communicates with the cloud and sends its operating data to the cloud. The cloud performs big data analysis on the operating data of several air purification devices of the same type to obtain update instructions, and sends the update instructions to the air purification device. The air purification device updates the detection process parameters of the filter life detection method based on the update instructions.

[0030] In related technologies, reminders are given based on the filter's nominal lifespan (e.g., 6 months) and accumulated operating time. This method ignores the differences in dust concentration in the actual usage environment. In clean environments, the filter is prompted for replacement long before it is exhausted, resulting in waste; in heavily polluted environments, the filter may have already failed without timely reminders, leading to purification failure and potential health hazards. Secondly, while using a built-in PM2.5 sensor to monitor air quality and accelerate the "lifespan depletion" timer during periods of heavy pollution is an improvement over fixed timing, it is still essentially an indirect calculation. The sensor is susceptible to interference, can only reflect particulate pollution and cannot determine the saturation of the odor (formaldehyde / VOC) filter, nor can it detect performance degradation caused by moisture, pressure damage, etc., in the filter's own structure. In addition, installing pressure sensors on both sides of the filter increases cost and structural complexity.

[0031] In this embodiment, by using a motor drive and feedback circuit, without adding any dedicated sensors, a mathematical model is constructed by real-time monitoring and analysis of the inherent parameter "PWM duty cycle required to maintain the set speed". The current additional wind resistance of the filter is then calculated in reverse, thereby accurately assessing its performance degradation and remaining lifespan. The filter life detection method provided in this embodiment is applicable to both particulate filters and chemical filters.

[0032] According to an embodiment of the present invention, a filter life detection method is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0033] This embodiment provides a filter life detection method, which can be used in the controller of the aforementioned air purification equipment. Figure 2 This is a schematic diagram of the first process of a filter life detection method according to an embodiment of the present invention, as shown below. Figure 2 As shown, the process includes the following steps: Step S201: During the operation of the air purification equipment at the target operating level, in response to the detection that the wind speed in the air duct is stable, the current duty cycle of the motor is obtained.

[0034] It should be noted that the target operating level changes parameters such as air purification efficiency, noise, and power consumption by adjusting the fan speed. For example, the types of target operating levels include, but are not limited to, automatic, silent, manual, and powerful. Among them, the target operating levels include, but are not limited to, low, medium, and high. Low speed and low noise are suitable for maintaining good air quality; medium speed and moderate noise are suitable for daily use; high speed is noticeably noisy and has a fast purification speed, suitable for environments with low air quality.

[0035] Specifically, in this embodiment, the target operating level can be the operating level of the air purifier at the current moment. Each target level has a corresponding wind speed. By detecting the stable state of the wind speed, the current duty cycle of the motor can be obtained when the wind speed reaches a stable state, reflecting the duty cycle maintained by the motor to overcome the current wind resistance.

[0036] The automatic mode automatically selects the appropriate fan speed based on real-time air quality monitoring. In this mode, it saves energy by operating at low noise when air quality is good and automatically accelerates purification when air quality is poor. The sleep mode operates at a lower fan speed to reduce noise, depending on the operating environment, such as in quiet places like libraries or during periods requiring silent operation. The manual mode allows users to manually select the fan speed level. The powerful mode operates at maximum power, achieving the highest purification efficiency in a short time.

[0037] Step S202: Calculate the duty cycle offset based on the current duty cycle and the calibrated duty cycle corresponding to the target operating gear. The calibrated duty cycle is used to characterize the actual duty cycle of the motor when the air purification device is running at the target operating gear under the condition of a brand new filter and standard wind resistance.

[0038] It should be noted that the calibrated duty cycle can be determined by measuring and storing a baseline duty cycle value for each air purification device during production, under the condition of installing a standard filter and applying a standard load. The calibrated duty cycle corresponding to the target operating level is then determined based on this baseline duty cycle.

[0039] Step S203: Determine the increased air resistance of the filter based on the duty cycle offset.

[0040] It should be noted that the duty cycle offset is the difference between the current duty cycle required by the motor to maintain the same rated speed at the target operating level during actual operation of the air purifier and the calibrated duty cycle obtained from the factory calibration.

[0041] For example, over time, at different times when the motor is running at the same rated speed in the target operating range, the duty cycle required to maintain that rated speed varies. The difference between the current duty cycle and the calibrated duty cycle reflects the increased air resistance of the filter. That is, the larger the duty cycle offset, the greater the increased air resistance of the filter.

[0042] For example, the duty cycle recorded at a certain rated speed determines the initial air resistance. After the air purification equipment has been running for a period of time, a new duty cycle is recorded at the same rated speed. The difference between the new current duty cycle and the recorded duty cycle reflects the increase in air resistance relative to the initial air resistance.

[0043] Step S204: Based on the increased air resistance and the initial filtration efficiency corresponding to the new filter, determine the current filtration efficiency of the filter under the increased air resistance.

[0044] It should be noted that the magnitude of air resistance can reflect the actual filtration efficiency of the filter. By reflecting the filtration efficiency of the filter through real-time determined air resistance, the filter life is no longer judged based on a fixed filter operating time. The real-time determined current filtration efficiency of the filter under the increased air resistance can truly reflect the degree of filtration efficiency decay of the filter at different times.

[0045] Step S205: Determine the current clean air retention rate of the filter based on the duty cycle offset, the added air resistance, and the current filtration efficiency.

[0046] It should be noted that increased wind resistance will lead to a decrease in air volume at the same speed setting. The duty cycle offset and the increased wind resistance together determine the air volume retention rate, and combined with the current filtration efficiency, the current clean air retention rate of the filter is determined. This integrates motor control parameters and filter physical characteristics to achieve real-time and accurate detection of filter life.

[0047] Step S206: Determine the current lifespan status of the filter based on the current clean air retention rate.

[0048] The current lifespan status of the filter includes, but is not limited to, the end of lifespan status and the not-end of lifespan status. In this embodiment, the filter can be replaced when the filter lifespan status ends, and the current lifespan value can be displayed when the filter lifespan status has not ended.

[0049] The filter life detection method provided in this embodiment monitors the deviation of the motor duty cycle relative to the calibrated value during stable operation of the air purification equipment. It can quantify the new air resistance, current filtration efficiency, and clean air retention rate of the filter without additional sensors, thereby accurately determining the current life status of the filter. By comprehensively judging the actual filtration capacity of the filter, it realizes real-time, continuous, and quantitative assessment of filter performance degradation, which is conducive to real-time determination of filter blockage. While improving the accuracy of filter life detection results, it further improves the air purification efficiency of the air purification equipment and enhances the consistency between filter life detection results and actual filtration conditions.

[0050] This embodiment provides a filter life detection method, which can be used in the controller of the aforementioned air purification equipment. Figure 3 This is a schematic diagram of a second process for a filter life detection method according to an embodiment of the present invention, as shown below. Figure 3 As shown, the process includes the following steps: Step S301: While the air purifier is operating at the target speed, in response to the detection that the airflow speed in the duct is stable, the current duty cycle of the motor is obtained. For details, please refer to [link to relevant documentation]. Figure 2 Step S201 of the illustrated embodiment will not be described again here.

[0051] Step S302: Based on the current duty cycle and the calibrated duty cycle corresponding to the target operating level, calculate the duty cycle offset. The calibrated duty cycle is used to characterize the actual duty cycle of the motor when the air purifier is running at the target operating level with a brand new filter and standard air resistance. For details, please refer to [link to relevant documentation]. Figure 2 Step S202 of the illustrated embodiment will not be described again here.

[0052] Step S303: Determine the increased air resistance of the filter based on the duty cycle offset.

[0053] Specifically, step S303 includes: Step S3031: Obtain the mapping relationship model between different duty cycle offsets and the increased wind resistance when the air purifier is running at the target operating level. The mapping relationship model is a model constructed based on calibration experiments, and the mapping relationship model indicates that the larger the duty cycle offset, the greater the increased wind resistance.

[0054] It should be noted that, according to the principles of motors and the load characteristics of fans, under stable speed, there is a monotonically increasing mapping relationship between the duty cycle offset and the increased air resistance of the filter.

[0055] Specifically, the mapping relationship between duty cycle offset and increased wind resistance can be expressed as:

[0056] Where a and b are coefficients determined experimentally. Indicates the increase in wind resistance; This indicates the duty cycle offset.

[0057] Step S3032: Input the duty cycle offset into the mapping relationship model to determine the new air resistance of the filter.

[0058] It should be noted that the duty cycle offset reflects the extra power the motor expends to maintain the target wind speed. By inputting this duty cycle offset into the mapping model, the duty cycle offset can be mapped to the corresponding increase in wind resistance. The more severe the filter blockage, the larger the duty cycle offset, and the greater the calculated increase in wind resistance.

[0059] The filter life detection method provided in this embodiment pre-constructs a mapping relationship model between different duty cycle offsets and increased air resistance based on calibration experiments. When the air purifier is operating at the target speed and the airflow speed in the duct is stable, the real-time acquired current duty cycle offset is input into this mapping relationship model to determine the increased air resistance of the filter. This method achieves the acquisition of increased air resistance based on the current duty cycle offset during normal operation of the air purifier without the need for additional sensors. The model can be calibrated separately for different target operating speeds, realizing a reliable mapping from duty cycle offset to increased air resistance, and providing a core basis for accurate assessment of filter life status.

[0060] Step S304: Based on the increased air resistance and the initial filtration efficiency corresponding to the new filter, determine the current filtration efficiency of the filter under the increased air resistance.

[0061] Specifically, step S304 above includes: Step S3041: Determine the filter efficiency decay function value of the filter based on the added air resistance and the preset filtration efficiency decay function. The preset filtration efficiency decay function is used to characterize the relationship between the severity of the filter efficiency decay and the added air resistance. The larger the added air resistance, the more severe the decay.

[0062] For example, the single-pass filtration efficiency of a HEPA filter for particulate matter is related to its air resistance. An "air resistance-filtration efficiency" lookup table or attenuation curve model is established; this embodiment uses an attenuation curve model as an example. Current filtration efficiency It can be represented as:

[0063] in, This indicates the initial filtration efficiency of a brand new filter (usually greater than 99%). This represents the preset filter efficiency decay function.

[0064] Step S3042: Based on the initial filtration efficiency and the filtration efficiency decay function value, determine the current filtration efficiency of the filter under the increased air resistance.

[0065] For example, the current filtration efficiency of the filter under the increased air resistance can be calculated using the above formula.

[0066] The filter life detection method provided in this embodiment converts the increased air resistance into a filtration efficiency decay function value by setting a preset filtration efficiency decay function, and combines it with the initial filtration efficiency to determine the filtration efficiency. This quantifies the degree to which filter clogging leads to a decline in filtration performance, and enables dynamic and accurate calculation of the current filtration efficiency, providing key support for determining the filter life status.

[0067] Step S305: Determine the current clean air retention rate of the filter based on the duty cycle offset, the added air resistance, and the current filtration efficiency.

[0068] Specifically, step S305 includes: Step S3051: Determine the current air volume of the air purification device based on the duty cycle offset and the added wind resistance.

[0069] It should be noted that under closed-loop control, the duty cycle offset is generated to maintain the target wind speed. However, once the current offset reaches the upper limit of the motor's capacity, even if the duty cycle is increased further, the original wind speed can no longer be maintained. At this time, the actual air volume will decrease. By using the known relationship between duty cycle, air volume, and wind resistance characteristics, and inputting the current duty cycle offset and the newly added wind resistance, the current actual air volume can be mapped in reverse.

[0070] Step S3052: Calculate the current clean air retention rate of the filter based on the current air volume, the calibrated air volume of the air purifier when it is running at the target operating level with a brand new filter, the current filtration efficiency, and the initial filtration efficiency.

[0071] The Clean Air Delivery Rate (CADR) of an air purifier is directly proportional to the air volume Q and the filtration efficiency η. The air volume Q decreases as air resistance increases; therefore, the current CADR retention rate can be calculated comprehensively.

[0072] Specifically, the current clean air retention rate of the filter can be expressed as:

[0073] in, This indicates the current clean air retention rate of the filter. Indicates the current air volume; This indicates the rated air volume.

[0074] The filter life detection method provided in this embodiment calculates the current clean air retention rate of the filter by using the current air volume, the calibrated air volume of the air purifier when it is running at the target operating level with a brand new filter, the current filtration efficiency, and the initial filtration efficiency. By integrating the duty cycle offset and the wind resistance model, the current air volume can be obtained. Combined with the change in filtration efficiency, the true clean air retention rate of the filter can be calculated in real time and at low cost, so as to accurately determine the remaining life of the filter.

[0075] Step S306: Determine the current lifespan status of the filter based on the current clean air retention rate.

[0076] Specifically, step S306 includes: Step S3061: Based on the relationship between the current clean air retention rate and the preset clean air retention rate threshold corresponding to the air purification equipment operating at the target operating level, determine the current lifespan status of the filter. The preset clean air retention rate threshold is used to characterize the filter as being in a critical lifespan state.

[0077] The preset clean air retention rate threshold can be set between 40% and 60%, and for example, it can be 50%. In this embodiment, different preset clean air retention rate thresholds can be set for each target operating level to dynamically detect the clean air retention rate of the filter under different operating conditions in real time.

[0078] The filter life detection method provided in this embodiment can determine whether the filter has reached the critical state of its life by comparing the current clean air retention rate with the preset threshold, thereby improving the accuracy and reliability of filter replacement reminders.

[0079] In some optional implementations, step S3061 above includes: Step a1: In response to the current clean air retention rate being greater than the preset clean air retention rate threshold, the current lifespan status of the filter is determined to be that the lifespan has not ended.

[0080] For example, if the preset clean air retention rate threshold is 50% and the current clean air retention rate is 70%, then the filter's current lifespan status is that its lifespan has not ended and the filter does not need to be replaced.

[0081] Step a2: In response to the current clean air retention rate not being greater than the preset clean air retention rate threshold, the current lifespan status of the filter is determined to be the end of its lifespan.

[0082] For example, if the preset clean air retention rate threshold is 50%, when the current clean air retention rate is below 50%, the filter's current lifespan is determined to be at the end of its lifespan, and the filter needs to be replaced.

[0083] The filter life detection method provided in this embodiment compares the current clean air retention rate with a preset clean air retention rate threshold, which can accurately assess the true remaining life of the filter in real time, avoid waste caused by replacing it at fixed times or failure to meet filtration standards, and thus reduce user costs while ensuring purification effect.

[0084] Step S307: Determine the current operating environment of the air purification equipment.

[0085] For example, the current operating environment of an air purification device can be determined by detecting parameters such as PM2.5, PM1, PM10, TVOC, temperature, and humidity. The current operating environment reflects the air quality of the environment in which the air purification device is located, such as the degree of air pollution, concentration level, and temperature and humidity conditions.

[0086] Step S308: Based on the correspondence between different operating environments and preset clean air retention rate thresholds, determine the preset clean air retention rate threshold corresponding to the current operating environment.

[0087] It should be noted that the acceptable degree of filter performance degradation varies under different operating environments. Therefore, setting different clean air retention rate thresholds can take into account the degree of filter performance degradation. For example, the preset clean air retention rate threshold set in an environment with good air quality can be appropriately lower than the preset clean air retention rate threshold set in an environment with poor air quality, so that the filter can play its role in different environments.

[0088] The filter life detection method provided in this embodiment determines the preset clean air retention rate threshold corresponding to the current operating environment by the correspondence between different operating environments and preset clean air retention rate thresholds. It can manage filter replacement standards differently for operating environments with different air quality, thereby maximizing the extension of filter life and reducing user replacement costs while ensuring basic purification effect.

[0089] Step S309: Send the operating data of the air purification equipment to the cloud.

[0090] Among them, the operating data of air purification equipment refers to data such as duty cycle, wind resistance, and efficiency changes.

[0091] Step S3010: In response to receiving an update command sent from the cloud, update at least one of the following based on the update command: the mapping relationship model, the preset filtration efficiency decay function, and the preset clean air retention rate threshold. The update command is obtained by the cloud after performing big data analysis on the operating data of several air purification devices of the same type.

[0092] It should be noted that the cloud analyzes the filter lifespan of multiple identical devices in actual use, refits a more accurate filter decay function through big data, and generates an update command to send to the air purifier. The air purifier automatically updates its local decay function to make the judgment of filter lifespan more in line with the actual situation, avoiding reminding users to replace the filter too early or too late.

[0093] The filter life detection method provided in this embodiment continuously optimizes the mapping relationship model, presets the filtration efficiency decay function and preset clean air retention rate threshold through cloud big data, so that the filter life prediction and performance evaluation are more in line with the actual use conditions, realize automatic equipment optimization and improve the accuracy of filter life detection.

[0094] Combination Figures 4 to 8 This describes one optional application embodiment of the filter life detection method described in this example. For example, Figure 4 The diagram illustrates the connection relationships between the main control MCU, motor drive, speed feedback, and communication module, excluding the wind pressure sensor and vision sensor. Figure 4 The sensors in the system are used to detect environmental parameters of the current operating environment.

[0095] Figure 5 This embodiment illustrates the workflow between the duty cycle calibration process, filter life detection process, and cloud optimization stage.

[0096] For example, after three months of use, an air purifier running in automatic mode detected a 12% deviation in the motor duty cycle from the calibrated duty cycle. Based on the built-in fan model, the increased air resistance was calculated to be 45 Pa, leading to the current airflow. Combining this with the current filtration efficiency of 93% and the initial efficiency of 99%, the clean air retention rate was calculated to be approximately 80%. Since 80% is higher than the preset clean air retention rate threshold of 50%, it was determined that the air purifier's filter had not yet reached the end of its lifespan. Simultaneously, the operating data was uploaded to the cloud, where analysis of similar devices determined an update instruction.

[0097] in, Figure 6 The diagram shows a calibration curve of duty cycle offset and new air resistance in the filter life detection method. As can be seen from the figure, as the duty cycle offset increases, the corresponding new air resistance also increases.

[0098] Figure 7 The diagram shows a decrease in the clean air retention rate as the added air resistance of the filter increases. As can be seen from the diagram, the clean air retention rate decreases as the added air resistance increases.

[0099] Figure 8 This diagram illustrates the process of training and optimizing models for a cloud-based big data platform. It involves acquiring operational data from multiple air purification devices, performing big data analysis, and then issuing update commands.

[0100] This embodiment also provides a filter life detection device, which is used to implement the above embodiments and preferred embodiments, and will not be repeated as already described. As used below, the term "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0101] This embodiment provides a filter life detection device, such as... Figure 9 As shown, it includes: The acquisition module 901 is used to acquire the current duty cycle of the motor in response to the detection that the wind speed in the air duct is stable when the air purifier is operating at the target operating level. Calculation module 902 is used to calculate the duty cycle offset based on the current duty cycle and the calibrated duty cycle corresponding to the target operating gear. The calibrated duty cycle is used to characterize the actual duty cycle of the motor when the air purifier is running at the target operating gear under the condition of a brand new filter and standard wind resistance. The first determining module 903 is used to determine the increased air resistance of the filter based on the duty cycle offset. The second determining module 904 is used to determine the current filtration efficiency of the filter under the increased air resistance based on the initial filtration efficiency corresponding to the increased air resistance and the new filter. The third determination module 905 is used to determine the current clean air retention rate of the filter based on the duty cycle offset, the added air resistance, and the current filtration efficiency. The filter life determination module 906 is used to determine the current life status of the filter based on the current clean air retention rate.

[0102] In some alternative implementations, the first determining module 903 includes: The acquisition unit is used to acquire the mapping relationship model between different duty cycle offsets and the increase in air resistance when the air purifier is running at the target operating level. The mapping relationship model is a model built based on calibration experiments, and the mapping relationship model indicates that the larger the duty cycle offset, the greater the increase in air resistance.

[0103] The determination unit is used to input the duty cycle offset into the mapping relationship model to determine the new air resistance of the filter.

[0104] In some alternative implementations, the second determining module 904 includes: The relationship determination unit is used to determine the filter efficiency decay function value of the filter based on the added air resistance and the preset filtration efficiency decay function. The preset filtration efficiency decay function is used to characterize the relationship between the severity of the filter efficiency decay and the added air resistance. The larger the added air resistance, the more severe the decay.

[0105] The efficiency determination unit is used to determine the current filtration efficiency of the filter under the added air resistance based on the initial filtration efficiency and the filtration efficiency decay function value.

[0106] In some alternative implementations, the third determining module 905 includes: The air volume determination unit is used to determine the current air volume of the air purification equipment based on the duty cycle offset and the added air resistance.

[0107] The clean air retention rate determination unit is used to calculate the current clean air retention rate of the filter based on the current air volume, the calibrated air volume of the air purifier when it is running at the target operating level with a brand new filter, the current filtration efficiency, and the initial filtration efficiency.

[0108] In some alternative implementations, the filter life determination module 906 includes: The status determination unit is used to determine the current life status of the filter based on the relationship between the current clean air retention rate and the preset clean air retention rate threshold corresponding to the air purification equipment being in the target operating mode. The preset clean air retention rate threshold is used to characterize the filter being in a critical life state.

[0109] In some optional implementations, the state determination unit includes: The first state determination subunit is used to determine the current life state of the filter as not yet ended in response to the current clean air retention rate being greater than the preset clean air retention rate threshold.

[0110] The second state determination subunit is used to determine the current life state of the filter as the end of its life in response to the current clean air retention rate not being greater than a preset clean air retention rate threshold.

[0111] In some alternative embodiments, the device further includes: The environment determination module is used to determine the current operating environment of the air purification equipment; The threshold determination module is used to determine the preset clean air retention rate threshold corresponding to the current operating environment based on the correspondence between different operating environments and preset clean air retention rate thresholds.

[0112] The data transmission module is used to send the operating data of the air purification equipment to the cloud; The update module is used to respond to the update command sent by the cloud and update at least one of the following based on the update command: the mapping relationship model, the preset filtration efficiency decay function, and the preset clean air retention rate threshold. The update command is obtained by the cloud after big data analysis of the operating data of several air purification devices of the same type.

[0113] The filter life detection device provided in this embodiment of the invention can execute the filter life detection method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects for executing the method. Further functional descriptions of the various modules and units described above are the same as in the corresponding embodiments described above, and will not be repeated here.

[0114] Figure 10 This is a schematic diagram of the structure of a controller for an air purification device provided in an embodiment of the present invention.

[0115] The following is a detailed reference. Figure 10The diagram illustrates a structural schematic suitable for implementing a controller in an embodiment of the present invention. The controller may include a processor (e.g., a central processing unit, a graphics processing unit, etc.) 1001, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 1002 or a program loaded from memory 1008 into random access memory (RAM) 1003. The RAM 1003 also stores various programs and data required for controller operation. The processor 1001, ROM 1002, and RAM 1003 are interconnected via a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

[0116] Typically, the following devices can be connected to the I / O interface 1005: input devices 1006 including, for example, a touchscreen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 1007 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; memory 1008 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. Communication device 1009 allows the controller to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 10 A controller with various devices is shown, but it should be understood that it is not required to implement or have all of the devices shown, and may alternatively implement or have more or fewer devices.

[0117] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 1009, or installed from a memory 1008, or installed from a ROM 1002. When the computer program is executed by the processor 1001, it performs the functions defined in the filter life detection method of the embodiments of the present invention.

[0118] Figure 10 The controller shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0119] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the filter life detection method shown in the above embodiments is implemented.

[0120] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0121] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for detecting filter life, applied to an air purification device, the air purification device comprising: The method comprises: an air duct equipped with a filter and a motor providing airflow power to the air duct; and the method includes: During the operation of the air purification device at the target operating level, in response to the detection that the wind speed in the air duct is in a stable state, the current duty cycle of the motor is obtained; Based on the current duty cycle and the calibrated duty cycle corresponding to the target operating gear, the duty cycle offset is calculated. The calibrated duty cycle is used to characterize the actual duty cycle of the motor when the air purifier is running at the target operating gear under a brand new filter and standard wind resistance. Based on the duty cycle offset, the increased air resistance of the filter is determined; Based on the increased air resistance and the initial filtration efficiency corresponding to the new filter, determine the current filtration efficiency of the filter under the increased air resistance; Based on the duty cycle offset, the added air resistance, and the current filtration efficiency, the current clean air retention rate of the filter is determined; Based on the current clean air retention rate, determine the current lifespan of the filter. The determination of the current clean air retention rate of the filter based on the duty cycle offset, the increased air resistance, and the current filtration efficiency includes: Based on the duty cycle offset and the increased wind resistance, the current air volume of the air purification device is determined; Based on the current air volume, the calibrated air volume of the air purifier when it is running at the target operating level with a brand new filter, the current filtration efficiency, and the initial filtration efficiency, the current clean air retention rate of the filter is calculated.

2. The method according to claim 1, characterized in that, The determination of the increased air resistance of the filter based on the duty cycle offset includes: A mapping model between different duty cycle offsets and increased air resistance is obtained when the air purifier is running at the target operating level. The mapping model is based on a calibration experiment and indicates that the larger the duty cycle offset, the greater the increased air resistance. The duty cycle offset is input into the mapping model to determine the new air resistance of the filter.

3. The method according to claim 2, characterized in that, The step of determining the current filtration efficiency of the filter under the increased air resistance based on the initial filtration efficiency corresponding to the increased air resistance and the new filter includes: The filter efficiency decay function value of the filter is determined based on the added air resistance and the preset filtration efficiency decay function. The preset filtration efficiency decay function is used to characterize the relationship between the severity of the decay of the filter efficiency and the added air resistance. The larger the added air resistance, the more severe the decay. Based on the initial filtration efficiency and the filtration efficiency decay function value, the current filtration efficiency of the filter under the increased air resistance is determined.

4. The method according to claim 3, characterized in that, Determining the current lifespan of the filter based on the current clean air retention rate includes: Based on the relationship between the current clean air retention rate and the preset clean air retention rate threshold corresponding to the air purification equipment operating at the target level, the current lifespan status of the filter is determined. The preset clean air retention rate threshold is used to characterize the filter as being in a critical lifespan state.

5. The method according to claim 4, characterized in that, The step of determining the current lifespan of the filter based on the relationship between the current clean air retention rate and the preset clean air retention rate threshold corresponding to the air purification equipment operating at the target level includes: In response to the current clean air retention rate being greater than the preset clean air retention rate threshold, the current lifespan status of the filter is determined to be "lifespan not yet ended". In response to the current clean air retention rate not being greater than the preset clean air retention rate threshold, the current lifespan status of the filter is determined to be the end of its lifespan.

6. The method according to claim 4, characterized in that, The method further includes: Determine the current operating environment of the air purification equipment; Based on the correspondence between different operating environments and preset clean air retention rate thresholds, the preset clean air retention rate threshold corresponding to the current operating environment is determined.

7. The method according to claim 4, characterized in that, The method further includes: Send the operating data of the air purification device to the cloud; In response to receiving an update command sent from the cloud, at least one of the mapping relationship model, the preset filtration efficiency decay function, and the preset clean air retention rate threshold is updated based on the update command. The update command is obtained by the cloud after performing big data analysis on the operating data of several air purification devices of the same type.

8. A filter life detection device, applied to an air purification device, the air purification device comprising: The device comprises an air duct equipped with a filter and a motor that provides airflow power to the air duct, characterized in that the device includes: The acquisition module is used to acquire the current duty cycle of the motor in response to detecting that the wind speed in the air duct is stable during the operation of the air purifier at the target operating level. The calculation module is used to calculate the duty cycle offset based on the current duty cycle and the calibrated duty cycle corresponding to the target operating gear. The calibrated duty cycle is used to characterize the actual duty cycle of the motor when the air purifier is running at the target operating gear under the condition of a brand new filter and standard wind resistance. The first determining module is used to determine the increased air resistance of the filter screen based on the duty cycle offset. The second determining module is used to determine the current filtration efficiency of the filter under the increased air resistance based on the increased air resistance and the initial filtration efficiency corresponding to the new filter. The third determining module is used to determine the current clean air retention rate of the filter based on the duty cycle offset, the added air resistance, and the current filtration efficiency. The filter life determination module is used to determine the current life status of the filter based on the current clean air retention rate. The third determining module includes: An air volume determination unit is used to determine the current air volume of the air purification device based on the duty cycle offset and the increased air resistance. The clean air retention rate determination unit is used to calculate the current clean air retention rate of the filter based on the current air volume, the calibrated air volume of the air purification equipment when it is running at the target operating level with a brand new filter, the current filtration efficiency, and the initial filtration efficiency.

9. An air purification device, the air purification device comprising: The air purification device is characterized by having an air duct equipped with a filter and a motor that provides airflow power to the air duct, wherein the air purification device further includes a controller, the controller comprising: A memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, the processor executing the computer instructions to perform the method of any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to perform the method of any one of claims 1 to 7.

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