This disclosure relates to air purifiers, and more specifically to maintenance for air purifiers.
Air purifiers are becoming increasingly important to remove a variety of common airborne contaminants from the air we breathe. Examples of such contaminants include viruses (e.g., Covid variants), bacteria, wildfire pollution, cooking-related pollution, diesel soot, and so on. An air purifier includes a filter and a fan. The cumulative time of usage of the air purifier may be monitored to attempt to determine if the filter's effectiveness or fan's speed has degraded and whether the filter or fan needs to be cleaned or replaced. The filter may also be visually inspected to see how dirty it looks, in an attempt to determine whether it needs to be cleaned or replaced. How much cumulative time the air purifier has been used and how dirty the filter appears, however, are unreliable indicators of actual air-purifier efficacy.
Regardless of how long an air purifier has been used or how dirty its filter appears, the current effectiveness of its filter and fan is measured based on two factors: (1) how well the filter removes the airborne contaminants (i.e., filtration efficiency) and (2) the rate at which air passes through the filter and fan (i.e., airflow). Through usage, the airflow may be reduced due to the filter getting clogged by airborne contaminants, the fan may slow down due to wear and tear, and the filtration efficiency may also degrade.
The airflow and/or filtration efficiency of an air purifier may be automatically monitored to detect whether airflow and/or filtration efficiency have been reduced. If the airflow and/or filtration efficiency have been reduced by specified amounts, the user of the air purifier is alerted to take corrective action. For example, based on an alert, the user of the air purifier may perform maintenance on the air purifier by cleaning or replacing the filter and/or the fan.
For a better understanding of the various described implementations, reference should be made to the Detailed Description below, in conjunction with the following drawings.
Like reference numerals refer to corresponding parts throughout the drawings and specification.
Reference will now be made in detail to various embodiments, examples of which are illustrated in the accompanying drawings. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the various described embodiments. However, it will be apparent to one of ordinary skill in the art that the various described embodiments may be practiced without these specific details. In other instances, well-known methods, procedures, components, circuits, and networks have not been described in detail so as not to unnecessarily obscure aspects of the embodiments.
An air purifier includes one or more filters and one or more fans. In some embodiments, the air purifier also includes one or more particle sensors (i.e., particulate matter (PM) sensors) to measure input particle loads (e.g., concentrations) for the air purifier and output particle loads (e.g., concentrations) for the air purifier. The input particle loads may be particle loads at an input of the air purifier and the output particle loads may be particle loads at an output of the air purifier. Alternatively, the input particle loads may be measured at other locations that have effectively the same particle load as the input at any given time, due to air flow between the input and the other location. For example, the input particle loads may be measured in front of the input or on a side of the air purifier for which the particle load is expected to be the same as at the input (e.g., a side on which the output of the air purifier is not located). In another example, assuming adequate airflow in a room where the air purifier is located, the input particle loads are particle loads in the room when the air purifier isn't running. Input particle loads therefore may even be measured at the output of the air purifier when the one or more fans of the air purifier are not running, as long as one waits long enough for the air at the input and output of the air purifier to equilibrate after turning off the air purifier before taking the measurement. One or more fans of an air purifier thus may be turned off to measure respective input particle loads and then turned back on, with the output particle loads being measured while the air purifier is on, in accordance with some embodiments. The output particle loads may alternatively be measured at other locations besides the output that have effectively the same particle load as the output at any given time while the air purifier is running (e.g., immediately in front of the output or in a tube coupled to the output).
The one or more particle sensors may include (e.g., be) optical particle sensors. For example, the particle sensors may include (e.g., be) optical particle counters and/or nephelometers. Nephelometers, as the term is used herein, include both standard nephelometers that gather light scattered across a range of angles and photometers that measure scattered light at a single angle. Particle sensors may measure respective particle loads for different particle sizes or different ranges of particle sizes; the different particle sizes or ranges of particle sizes are referred to as bins.
The measured input and output particle loads are stored on a computer system and used to calculate the filtration efficiency of the air purifier. The filtration efficiency generally increases as O decreases with respect to I and generally decreases as O increases with respect to I, where O is the output particle load (e.g., for a particular bin) and I is the input particle load (e.g., for the same bin). In some embodiments, the filtration efficiency is measured using a multivariable function that is monotonic in each of its variables. For example, the filtration efficiency may be measured as a monotonic function of O/I (or equivalently, I/O) or any function that is within some fraction (e.g., 30%) of some monotonic function of O/I (i.e., a function for which each value differs from a corresponding value of the monotonic function by no more than the fraction of the corresponding value). The filtration efficiency thus may be measured as a monotonic function of the ratio of an output particle load to an input particle load. In one example, the filtration efficiency may be measured as 1−O/I. In this example, if the output particle load is zero, complete filtering is achieved and the filtration efficiency is 1 (i.e., 100%). If the output particle load equals the input particle load, no filtering has occurred and the filtration efficiency is zero. Other filtration-efficiency formulas (e.g., with the same or different upper and lower bounds corresponding to complete filtering and no filtering) are possible. For example, values of a filtration-efficiency formula may increase with increasing filtration efficiency or may decrease with increasing filtration efficiency. If the filtration efficiency becomes too low, the computer system transmits and/or displays an alert indicating that the air purifier is not functioning properly and needs maintenance.
The values of O and I used to calculate the filtration efficiency may be individual respective measurements taken by the one or more particle sensors, or may be respective averages (e.g., means, geometric means, mean squares) or other statistical functions of multiple measurements (e.g., a function that is monotonic in each of the multiple measurements or a function that is within a fraction (e.g. 30%) of some function that is monotonic in each of the multiple measurements) taken by the one or more particle sensors (e.g., during a specified period of time). Using individual respective measurements may include using single individual respective measurements (i.e., a single measurement of O and a single measurement of I) or using multiple respective measurements (e.g., calculating multiple ratios of O/I using respective single measurements taken successively during a specified period of time, and then combining (e.g., averaging) the multiple ratios).
In some embodiments, the air purifier 102 is portable. Other examples of the air purifier 102 include, without limitation, a non-portable air purifier in a building (e.g., home) or car. For example, the air purifier 102 may be part of a heating, ventilation, and air conditioning (HVAC) system for a building (e.g., home) or car.
In some embodiments, the particle sensor 126 is an optical particle sensor. For example, the particle sensor 126 is an optical particle counter or a nephelometer.
The system 100 also includes a valve 118 that selectively provides air 110 from the input 108 or the output 112 to the particle sensor 126, to allow the particle sensor 126 to measure both input particle loads at the input 108 and output particle loads at the output 112. The valve 118 has a first input 120, a second input 122, and an output 124. A first tube 114 provides air 110 from the input 108 to the first input 120 of the valve 118. A second tube 116 provides air 110 from the output 112 to the second input 122 of the valve 118. The output 124 of the valve 118 is connected to the particle sensor 126. Depending on its setting, the valve 124 provides air 110 from either its first input 120 or its second input 122, and thus from either the input 108 or the output 112 of the air purifier 102, to the particle sensor 126. The first tube 114 and valve 118 couple the particle sensor 126 to the input 108. The second tube 116 and the valve 118 couple the particle sensor 126 to the output 112. The setting of the valve 118 may be controlled by the computer system 128.
The computer system 128 includes a display 129, one or more processors 130 (e.g., a microcontroller), memory 132, and transceiver 134 (e.g., wireless transceiver). These components may be communicatively coupled to each other and to the particle sensor 126 (e.g., through one or more communication busses). The memory 132 is shown separately from the processor(s) 130, but all or a portion of the memory 132 may be embedded in the processor(s) 130. The memory 132 (e.g., a non-transitory computer-readable medium, such as non-volatile memory, in the memory 132) stores instructions for execution by the processor(s) 130 to achieve the functionality of the computer system 128. The particle sensor 126 is shown as being separate from the computer system 128, but may be considered part of the computer system 128.
If the computer system 128 determines that the filtration efficiency of the air purifier 102 does not satisfy (e.g., is less than, or less than or equal to) a threshold efficiency value, the computer system 128 generates an alert. The alert may report the filtration efficiency and/or instruct a user that the air purifier 102 needs maintenance. The alert may be displayed on the display 129 and/or transmitted through one or more networks 136 to a remote computer system 138. In some embodiments, the remote computer system 138 is the user's computer system (e.g., a mobile computing device for the user), which displays the alert. Alternatively, the remote computer system 138 is a server that forwards the alert to a computer system (e.g., a mobile computing device) for the user.
In the system 100, the computer system 128 is a local computer system with respect to the air purifier 102 and particle sensor 126.
The computer system 208 includes a transceiver 210, memory 212, one or more processors 214 (e.g., a central processing unit (CPU)), and display 216. These components may be communicatively coupled to each other through one or more communication busses. The transceiver 210 receives communications directed to the computer system 208 via the one or more networks 206, including communications from the particle sensor 202 providing measured input and output particle loads for the air purifier 102. The memory 212 is shown separately from the processor(s) 214, but all or a portion of the memory 212 may be embedded in the processor(s) 214. The memory 212 (e.g., a non-transitory computer-readable medium, such as non-volatile memory, in the memory 212) stores instructions for execution by the processor(s) 214 to achieve the functionality of the computer system 208.
If the computer system 208 determines that the filtration efficiency of the air purifier 102 does not satisfy (e.g., is less than, or less than or equal to) the threshold efficiency value, the computer system 208 generates an alert. The alert may report the filtration efficiency and/or instruct a user that the air purifier 102 needs maintenance. The alert may be displayed on the display 216 and/or transmitted to another remote computer system. In some embodiments, the remote computer system 208 is the user's computer system (e.g., a mobile computing device for the user), which displays the alert on the display 216. Alternatively, the remote computer system 208 is a server that forwards the alert to another remote computer system (e.g., a mobile computing device) for the user.
In the examples of
The computer system 128 (
In the system 300, the computer system 128 is a local computer system with respect to the air purifier 102 and the first and second particle sensors 302-1 and 302-2.
The extent to which filtration efficiency for air purifiers degrades over time may vary by manufacturer and thus by brand. For example, an experiment in which two different brands of HEPA (high efficiency particulate air) filters (HEPA #1 and HEPA #2) were operated in 11 different rooms of a building revealed that, after several months of operation, three of the HEPA #1 filters showed degraded filtration efficiency below a threshold of 90%, whereas none of the HEPA #2 filters did. Filtration efficiency for different air purifiers of the same make and model may also vary. For example, in a second experiment, two different HEPA air purifiers of the same make and model were found to have respective filtration efficiencies of 77% and 44%. The systems 100, 200, 300, and 400 (
In the systems 300 and 400, the two particle sensors 302-1 and 302-2 (
To account for this varying sensitivity between particle sensors, the two particle sensors 302-1 and 302-2 (
In some embodiments, instead of performing calibration, initial input and output particle loads are measured (e.g., when first starting to use the air purifier 102 or after installing new filter(s) 104) and stored in the memory 132 (
In some embodiments, the threshold efficiency value is determined relative to an initial filtration efficiency for the air purifier 102 (e.g., as determined upon first operating the air purifier 102 or immediately after performing maintenance on the air purifier 102). For example, the threshold efficiency value may be defined as a preset percentage of the initial filtration efficiency. Alternatively, the threshold efficiency value is a preset absolute threshold (i.e., a preset value independent of the initial filtration efficiency).
Operation of an air purifier 102 can be monitored and alerts can be generated based on airflow through the air purifier 102 (e.g., output airspeed or input airspeed of the air purifier 102) in addition to or as an alternative to the filtration efficiency of the air purifier 102.
If the computer system 128 determines that the airspeed does not satisfy (e.g., is less than, or less than or equal to) a threshold airspeed value, the computer system 128 generates an alert. In some embodiments, determining whether the airspeed satisfies the threshold airspeed value includes comparing a value of the airspeed measured by the anemometer to the threshold airspeed value. In some other embodiments, determining whether the airspeed satisfies the threshold airspeed value includes combining multiple values of the airspeed as measured by the anemometer (e.g., averaging or otherwise applying a statistical function to the values) and comparing the combined values (e.g., the average or value of another statistical function) to a threshold. In still other embodiments, determining whether the airspeed satisfies the threshold airspeed value includes calculating a value of a function using one or more measurements of the airspeed from the anemometer and comparing the calculated value to a threshold. The function may be, for example, a monotonic function of the airspeed as measured by the anemometer 502 or a function that is within some fraction (e.g., 30%) of some monotonic function of the airspeed as measured by the anemometer 502.
The alert may report the airspeed and/or instruct a user that the air purifier 102 needs maintenance. The alert may be displayed on the display 129 and/or transmitted through one or more networks 136 to a remote computer system 138. In some embodiments, the remote computer system 138 is the user's computer system (e.g., a mobile computing device for the user), which displays the alert. Alternatively, the remote computer system 138 is a server that forwards the alert to a computer system (e.g., a mobile computing device) for the user.
In the system 500, the computer system 128 is a local computer system with respect to the air purifier 102 and anemometer 502.
If the computer system 208 determines that an airspeed measured by anemometer 602 does not satisfy (e.g., is less than, or less than or equal to) a threshold air speed value, the computer system 208 generates an alert. The computer system 208 may make this determination in any of the ways described for the computer system 128 for
In some embodiments, the threshold airspeed value is determined relative to an initial airspeed for the air purifier 102 (e.g., as determined upon first operating the air purifier 102 or immediately after performing maintenance on the air purifier 102). For example, the threshold airspeed value may be defined as a preset percentage of the initial airspeed. The initial airspeed may be an initial output airspeed (e.g., if the anemometer 502/602 is positioned at or coupled to the output 112) or an initial input airspeed (e.g., if the anemometer 502/602 is positioned at or coupled to the input 108). Determining the threshold airspeed value relative to the initial airspeed for the air purifier 102 accounts for variation in airspeeds between different air purifiers 102 (e.g., from different manufacturers, or even of the same make and model). Alternatively, the threshold airspeed value is a preset absolute airspeed (i.e., a preset value independent of the initial airspeed).
While
In
Multiple redundant or complementary particle sensors may be positioned at or coupled to the input 108 and/or to the output 112 of an air purifier 102, with measurements from the multiple particle sensors being combined (e.g., averaged or otherwise combined using a statistical function) as part of determining the filtration efficiency. Similarly, multiple anemometers may be positioned at or coupled to the output 112 of an air purifier, with measurements from the multiple anemometers being combined (e.g., averaged or otherwise combined using a statistical function). Alerts may be generated based on measured particle loads and/or measured airspeeds as combined (e.g., averaged or otherwise combined using a statistical function) from multiple instruments and/or as combined (e.g., averaged or otherwise combined using a statistical function) over time.
In the examples of
The systems 1300 and 1400 are two examples of single-particle-sensor systems that measure input and output particle loads by turning the fan 106 off and on. Other examples (e.g., for which a valve or particle sensor is removed from the systems of
In some embodiments of the method 1100, an initial filtration efficiency of the air purifier 102 is determined (1102) using an initial input particle load and an initial output particle load for the air purifier as measured by one or more particle sensors. A threshold efficiency value is calculated (1104) using the initial filtration efficiency. The initial input particle load and the initial output particle load may be respective individual measurements taken by the one or more particle sensors, or may be respective combinations of repeated measurements taken by the one or more particle sensors (as described below for step 1108). For example, the initial input particle load and the initial output particle load may be respective averages (e.g., means, geometric means, mean squares) or other statistical functions of the repeated measurements. The initial input particle load and an initial output particle load may be measured in the same manner as the input particle load and output particle load of step 1108 (below).
Alternatively, the threshold efficiency may be specified (1106).
As part of monitoring the air purifier 102, a filtration efficiency for the air purifier 102 is determined (1108) using an input particle load and an output particle load for the air purifier 102. The input particle load and output particle load are measured by one or more particle sensors (e.g., the one or more particle sensors of step 1102) (e.g., positioned at or coupled to an input 108 and an output 112 of the air purifier 102, or positioned at or coupled to the output 112). For example, the one or more particle sensors include (e.g., are) one or more optical particle sensors (e.g., one or more optical particle counters and/or nephelometers). In the examples of
The input particle load and the output particle load used to determine the filtration efficiency may be respective individual measurements taken by the one or more particle sensors, or may be respective averages (e.g., mean, geometric mean, mean square) or other statistical functions of repeated measurements taken by the one or more particle sensors. In the latter example, determining the filtration efficiency includes combining (e.g., averaging) respective repeated measurements of the input particle load and the output particle load, and calculating the filtration efficiency using respective combinations (e.g., averages) of the repeated measurements of the input particle load and the output particle load. In the former example, single individual respective measurements (i.e., a single measurement of O and a single measurement of I) may be used or multiple respective measurements may be used (e.g., by calculating multiple ratios of O/I using respective single measurements taken successively during a specified period of time, and then combining (e.g., averaging) the multiple ratios).
In some embodiments, the method 1100 includes measuring (1110) the input particle load and the output particle load using the one or more particle sensors. For example, the computer system that performs the method 1100, and thus determines the filtration efficiency, is communicatively coupled (e.g., by one or more communication busses) to the one or more particle sensors and receives the input particle load and the output particle load from the one or more particle sensors. In some embodiments, the input particle load and the output particle load are received (1112) from the one or more particle sensors through one or more communication networks (e.g., communication network(s) 206,
The filtration efficiency may be determined (1108) after the threshold efficiency value has been calculated (1104) or specified (1106).
In some embodiments, the one or more particle sensors include a first particle sensor (e.g., particle sensor 126,
In some embodiments, the one or more particle sensors include a first particle sensor (e.g., particle sensor 302-1,
A determination is made (1114) as to whether the filtration efficiency satisfies (e.g., is greater than, or greater than or equal to) the threshold efficiency value. If the filtration efficiency satisfies the threshold efficiency value (1114—Yes), the method 1100 reverts to step 1108 and monitoring of the air purifier 102 continues. In response to a determination that the filtration efficiency does not satisfy (e.g., is less than, or less than or equal to) the threshold efficiency value (1114—No), however, a first alert is generated (1116).
In some embodiments, the first alert is transmitted to a remote computer system (1118). For example, the computer system that performs the method 1100, and thus that generates the first alert, is a first computer system that transmits the first alert to a second computer system (e.g., a server system; a user's computer system device) remote from the first computer system for display by the second computer system.
In some embodiments, the first alert is displayed (1120). For example, the computer system that performs the method 1100, and thus that generates the first alert, includes a display; the computer system displays the first alert on the display. The computer system may both display the first alert and transmit the first alert to a remote computer system.
In some embodiments of the method 1200, an initial airspeed of the air purifier 102, as measured by an anemometer (e.g., anemometer 502,
Alternatively, the first threshold airspeed is specified (1206). The second threshold airspeed (e.g., distinct from, such as higher than, the first threshold airspeed) may also be specified.
An airspeed (or multiple measured airspeeds) of the air purifier 102 (e.g., at the output 112 or input 108), as measured by the anemometer, is obtained (1208). The airspeed is distinct from the initial airspeed and is obtained as part of monitoring the air purifier 102. In some embodiments, the method 1200 includes measuring (1210) the airspeed using the anemometer. For example, the computer system that performs the method 1200 is communicatively coupled to the anemometer and receives the airspeed from the anemometer. In some embodiments, the airspeed is received (1212) from the anemometer through one or more communication networks (e.g., one or more communication networks 206,
A determination is made (1214) as to whether the airspeed obtained in step 1208 satisfies (e.g., is greater than, or greater than or equal to) the first threshold airspeed value. If the airspeed satisfies the first threshold airspeed value (1214—Yes), the method 1200 reverts to step 1208 and monitoring of the air purifier 102 continues. In response to a determination that the airspeed does not satisfy (e.g., is less than, or less than or equal to) the first threshold airspeed value (1214—No), however, a second alert is generated (1216).
In some embodiments, determining whether the airspeed satisfies the threshold airspeed value includes comparing a value of the airspeed obtained in step 1208 to the threshold airspeed value. In some other embodiments, determining whether the airspeed satisfies the threshold airspeed value includes combining multiple values of the airspeed obtained in step 1208 (e.g., averaging or otherwise applying a statistical function to the values) and determining whether the combined values (e.g., the average or value of another statistical function) satisfy a threshold. In still other embodiments, determining whether the airspeed satisfies the threshold airspeed value includes calculating a value of a function using one or more values of the airspeed obtained in step 1208 and determining whether the calculated value of the function satisfies a threshold. The function may be, for example, a monotonic function of the airspeed as measured by the anemometer 502 or a function that is within some fraction (e.g., 30%) of some monotonic function of the airspeed as measured by the anemometer 502.
In some embodiments, the second alert is transmitted to a remote computer system (1218). For example, the computer system that performs the method 1200, and thus that generates the second alert, is a first computer system that transmits the second alert to a second computer system (e.g., a server system; a user's mobile computing device) remote from the first computer system for display by the second computer system.
In some embodiments, the second alert is displayed (1220). For example, the computer system that performs the method 1200, and thus that generates the second alert, includes a display; the computer system displays the second alert on the display. The computer system may both display the second alert and transmit the second alert to a remote computer system.
The second alert may instruct (1222) the user to remove the filter(s) 104 from the air purifier 102. An airspeed of the air purifier 102 (e.g., at the output 112 or input 108) with the filter(s) 104 removed in accordance with the second alert, as measured by the anemometer, is obtained (1224). In some embodiments, the method 1200 includes measuring (1226) this airspeed using the anemometer (e.g., with the computer system that performs the method 1200 being communicatively coupled to the anemometer and receiving the airspeed from the anemometer.) In some embodiments, the airspeed is received (1228) from the anemometer through the one or more communication networks (e.g., the one or more communication networks 206,
A determination is made (1230) as to whether the airspeed obtained in step 1224 satisfies (e.g., is greater than, or greater than or equal to) the second threshold airspeed value. In response to a determination that the airspeed does not satisfy (e.g., is less than, or less than or equal to) the second threshold airspeed value (1230—No), a third alert is generated (1232) instructing the user to repair or replace the fan 106. A slow airspeed even with the filter(s) 104 removed indicates a problem with the fan 106, such that it should be repaired or replaced.
In response to a determination that the airspeed satisfies the second threshold airspeed value (1230—Yes), a fourth alert is generated (1234) instructing the user to check (e.g., clean or replace) the filter(s) 104. Finding that the airspeed is satisfactory once the filter(s) 104 have been removed indicates a problem with the filter(s) 104 and not with the fan 106.
The third alert and/or fourth alert may be transmitted to a remote computer system and/or displayed (e.g., as described for the second alert).
The methods 1100 and 1200 may be combined, such that the same computer system (e.g., computer system 128,
The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the scope of the claims to the precise forms disclosed. Many modifications and variations are possible in view of the above teachings. The embodiments were chosen in order to best explain the principles underlying the claims and their practical applications, to thereby enable others skilled in the art to best use the embodiments with various modifications as are suited to the particular uses contemplated.
This application is a continuation of U.S. patent application Ser. No. 18/489,831, filed on Oct. 18, 2023, which claims the benefit of U.S. Provisional Patent Application No. 63/418,474, filed on Oct. 21, 2022, both of which are incorporated by reference in their entirety.
Number | Name | Date | Kind |
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20160231039 | Song | Aug 2016 | A1 |
20230273576 | Douglas | Aug 2023 | A1 |
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20220160188 | May 2021 | KR |
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63418474 | Oct 2022 | US |
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Parent | 18489831 | Oct 2023 | US |
Child | 18407019 | US |