Home air quality analysis and reporting

• US 10,222,360 B1
• Filed: 01/08/2016
• Issued: 03/05/2019
• Est. Priority Date: 01/16/2015
• Status: Active Grant

• Current Assignee: Airviz Inc.
• Original Assignee: Airviz Inc.
• Inventors: Nourbakhsh, Illah, Taylor, Michael, Bartley, Christopher, Schapiro, Joshua
• Primary Examiner(s): Larkin, Daniel S
• Assistant Examiner(s): Megna Fuentes, Anthony W
• Application Number:
  US14/990,886
• Time in Patent Office: 1,152 Days
• Field of Search: 73 3101- 3103
• CPC Class Codes: G01N 33/0062 concerning the measuring method, e.g. intermittent, or the display, e.g. digital
• CPC Class Codes: G01N 33/0075 for multiple spatially distributed sensors, e.g. for environmental monitoring transmission systems for measured values G08C

Abstract

Computer-based systems and methods characterize indoor air quality in a particular building having multiple locations therein. The system comprises a back-end data center, at least one indoor air quality sensor located inside the particular building, and a graphical display device. The indoor air quality sensor(s) transmits time-stamped air quality readings collected by it to the data center via a computer network. The data center computes spatiotemporal air quality measures for the particular building based on the time-stamped air quality readings from the indoor air quality sensor(s) and transmits the computed spatiotemporal air quality measures to the graphical display device for display to the user/resident.

Claims

1. A system for characterizing indoor air quality in a particular building having multiple locations therein, the system comprising:

a back-end data center that comprises one or more computer servers;

outdoor air quality sensor means located outside and not inside the particular building, wherein the outdoor air quality sensor means is in communication with the data center via the computer network and transmits time-stamped air quality readings collected by the outdoor air quality sensor means to the back-end data center via the computer network;

indoor air quality sensor means located inside the particular building, wherein the indoor air quality sensor means transmits time-stamped air quality readings collected by the indoor air quality sensor means to the back-end data center via a computer network; and

a graphical display means that is in communication with the back-end data center via the computer network,

wherein;

the back-end data center computes spatiotemporal air quality measures for the building based on at least the time-stamped air quality readings from the indoor air quality sensor means and the time-stamped air quality readings from the outdoor sensor means, wherein the back-end data center computes raw, time-stamped air quality measures for a particular location in the particular building at a particular time stamp by performing one or more steps that comprise subtracting (i) the air quality reading from the indoor air quality sensor means at the time stamp when located in the particular location in the particular building, from (ii) the air quality reading from the outdoor air quality sensor means at the time stamp, and wherein the spatiotemporal air quality measures computed by the back-end data center comprise statistical summarizations of the raw, time-stamped air quality measures over rolling time periods;

the back-end data center transmits the spatiotemporal air quality measures to the graphical display means via the computer network; and

the graphical display means displays the spatiotemporal air quality measures computed by the back-end data center on an interactive graphical display of the graphical display device.

2. A method for characterizing indoor air quality in a particular building having multiple locations therein, the method comprising:

receiving, via a computer network, by a back-end data center that comprises one or more computer servers that are connected to the computer network, from at least one indoor air quality sensor located inside the particular building, time-stamped air quality readings collected by the at least one indoor air quality sensor;

receiving, by the data center, via the computer network, from at least one outdoor air quality sensor location outside and not inside the particular building, time-stamped air quality readings collected by the at least one outdoor air quality sensor;

computing, by the data center, spatiotemporal air quality measures for the particular building based on at least the time-stamped air quality readings from the at least one indoor air quality sensor and the time-stamped air quality readings from the at least one outdoor air quality sensor, wherein the data center computes raw, time-stamped air quality measures for a particular location in the particular building at a particular time stamp by performing one or more steps that comprise subtracting (i) the air quality reading from the at least one indoor air quality sensor at the time stamp when located in the particular location in the particular building, from (ii) the air quality reading from the at least one outdoor air quality sensor at the time stamp, and wherein the spatiotemporal air quality measures computed by the data center comprise statistical summarizations of the raw, time-stamped air quality measures over rolling time periods; and

transmitting, by the back-end data center, via the computer network, the spatiotemporal air quality measures to a graphical display device for display of the spatiotemporal air quality measures computed by the back-end data center on an interactive graphical display of the graphical display device.

3. The method of claim 2, further comprising the back-end data center computing and transmitting to the graphical display device, a mean air pollution recovery index value for the particular building by performing steps that comprise:

identifying several local particle count maxima in the time-stamped air quality readings from the at least one indoor air quality sensor over a time period;

computing a post-maximum recovery slope for each of the several local particle count maxima to an immediately subsequent minimum particle count;

computing a mean of the post-maximum recovery slopes across all of the several local particle count maxima in the time period; and

transmitting the mean post-maximum recovery slope to the graphical display device.

4. The method of claim 2, further comprising the back-end data center:

continuously computing real-time air quality measures for the particular building based on the time-stamped air quality readings from the at least one indoor air quality sensor; and

transmitting a notification to the graphical display device via the computer network when a real-time air quality measure exceeds a pre-established threshold.

5. A system for characterizing indoor air quality in a particular building having multiple locations therein, the system comprising:

a back-end data center that comprises one or more computer servers;

at least one indoor air quality sensor located inside the particular building, wherein the at least one indoor air quality sensor transmits time-stamped air quality readings collected by the at least one indoor air quality sensor to the data center via a computer network;

at least one outdoor air quality sensor that is located outside and not inside the particular building, wherein the at least one outdoor air quality sensor is in communication with the data center via the computer network; and

a graphical display device, wherein;

the data center computes spatiotemporal air quality measures for the particular building based on at least the time-stamped air quality readings from the at least one indoor air quality sensor and the time-stamped air quality readings from the at least one outdoor air quality sensor, wherein the data center computes raw, time-stamped air quality measures for a particular location in the particular building at a particular time stamp by performing one or more steps that comprise subtracting (i) the air quality reading from the at least one indoor air quality sensor at the time stamp when located in the particular location in the particular building, from (ii) the air quality reading from the at least one outdoor air quality sensor at the time stamp, and wherein the spatiotemporal air quality measures computed by the data center comprise statistical summarizations of the raw, time-stamped air quality measures over rolling time periods;

the data center transmits the spatiotemporal air quality measures to the graphical display device via the computer network; and

the graphic display device displays the spatiotemporal air quality measures computed by the data center on an interactive graphical display of the graphical display device.

6. The system of claim 5, wherein the air quality readings from the at least one indoor air quality sensor comprise PM2.5 readings.

7. The system of claim 5, wherein the single graphical display device is combined with the at least one indoor air quality sensor in a composite air quality sensor/display device.

8. The system of claim 5, wherein:

the graphical display device comprises a network-enabled computer device that is selected from the group consisting of a personal computer, a laptop, a smartphone, a table computer, and a wearable computer device; and

the network-enabled computer device is in communication with the back-end data center for receiving and displaying the spatiotemporal air quality measures transmitted via the computer network to the network-enabled computer device.

9. The system of claim 8, wherein:

the back-end data center receives data annotations from a user from the graphical display device via the computer network, wherein the data annotations comprises data pertaining to the at least one air quality sensor; and

the data annotations are displayed by the graphical display device.

10. The system of claim 5, wherein the back-end data center further computes and transmits to the graphical display device a mean air pollution recovery index value for the particular building by performing steps that comprise:

identifying several local particle count maxima in the time-stamped air quality readings from the at least one indoor air quality sensor over a time period;

computing a post-maximum recovery slope for each of the several local particle count maxima to an immediately subsequent minimum particle count;

computing a mean of the post-maximum recovery slopes across all of the several local particle count maxima in the time period; and

transmitting the mean post-maximum recovery slope to the graphical display device.

11. The system of claim 5, wherein the back-end data center further computes and transmits to the graphical display device a median air pollution recovery index value for the particular building by performing steps that comprise:

identifying several local particle count maxima in the time-stamped air quality readings from the at least one indoor air quality sensor over a time period;

computing a post-maximum recovery slope for each of the several local particle count maxima to an immediately subsequent minimum particle count;

computing a median of the post-maximum recovery slopes across all of the several local particle count maxima in the time period; and

transmitting the median post-maximum recovery slope to the graphical display device.

12. The system of claim 5, wherein:

the at least one indoor air quality sensor comprises at least first and second indoor air quality sensors;

the first indoor air quality sensor is located in a first location in the particular building;

the second indoor air quality sensor is located in a second location in the particular building; and

the spatiotemporal air quality measures computed by the back-end data center comprise air quality measures from the first and second locations.

13. The system of claim 5, wherein:

the at least one indoor air quality sensor comprises a first indoor air quality sensor that is located in a first location in the particular building for a first time period and is located in a second location in the particular building for a second time period; and

the spatiotemporal air quality measures computed by the back-end data center comprise air quality measures from the first and second locations.

14. The system of claim 5, wherein the back-end data center:

continuously computes real-time air quality measures for the particular building based on the time-stamped air quality readings from the at least one indoor air quality sensor; and

transmits a notification to the graphical display device via the computer network when a real-time air quality measure exceeds a pre-established threshold.

15. A system for characterizing indoor air quality in a particular building having multiple locations therein, the system comprising:

a back-end data center that comprises one or more computer servers;

at least one indoor air quality sensor located inside the particular building, wherein the at least one indoor air quality sensor transmits time-stamped air quality readings collected by the at least one indoor air quality sensor to the data center via a computer network; and

a graphical display device, wherein;

the data center computes a mean air pollution recovery index value for the particular building by performing steps that comprise;

identifying several local particle count maxima in the time-stamped air quality readings from the at least one indoor air quality sensor over a time period;

computing a post-maximum recovery slope for each of the several local particle count maxima to an immediately subsequent minimum particle count; and

computing a mean of the post-maximum recovery slopes across all of the several local particle count maxima in the time window;

the data center transmits the mean air pollution recovery index value to the graphical display device via the computer network; and

the graphic display device displays the s mean air pollution recovery index value computed by the data center on an interactive graphical display of the graphical display device.

16. A system for characterizing indoor air quality in a particular building having multiple locations therein, the system comprising:

a back-end data center that comprises one or more computer servers;

at least one indoor air quality sensor located inside the particular building, wherein the at least one indoor air quality sensor transmits time-stamped air quality readings collected by the at least one indoor air quality sensor to the data center via a computer network; and

a graphical display device, wherein;

the data center computes a median air pollution recovery index value for the particular building by performing steps that comprise;

identifying several local particle count maxima in the time-stamped air quality readings from the at least one indoor air quality sensor over a time period;

computing a post-maximum recovery slope for each of the several local particle count maxima to an immediately subsequent minimum particle count;

computing a median of the post-maximum recovery slopes across all of the several local particle count maxima in the time window; and

the data center transmits the median of the post-maximum recovery slopes to the graphical display device via the computer network; and

the graphic display device displays the median of the post-maximum recovery slopes computed by the data center on an interactive graphical display of the graphical display device.

17. A method for characterizing indoor air quality in a particular building having multiple locations therein, the method comprising:

receiving, via a computer network, by a back-end data center that comprises one or more computer servers that are connected to the computer network, from at least one indoor air quality sensor located inside the particular building, time-stamped air quality readings collected by the at least one indoor air quality sensor;

computing, by the data center, a median air pollution recovery index value for the particular building based on at least the time-stamped air quality readings from the at least one indoor air quality sensor by performing steps that comprise;

identifying several local particle count maxima in the time-stamped air quality readings from the at least one indoor air quality sensor over a time period;

computing a post-maximum recovery slope for each of the several local particle count maxima to an immediately subsequent minimum particle count;

computing a mean of the post-maximum recovery slopes across all of the several local particle count maxima in the time window; and

transmitting, by the data center, via the computer network, the mean of the post-maximum recovery slopes to a graphical display device for display of the mean of the post-maximum recovery slopes computed by the data center on an interactive graphical display of the graphical display device.