Air quality detection apparatus, air quality data processing method, and server

US2018041606A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018041606-A1
Application numberUS-201715785257-A
CountryUS
Kind codeA1
Filing dateOct 16, 2017
Priority dateNov 3, 2015
Publication dateFeb 8, 2018
Grant date

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  1. Title

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A method of processing air quality data includes: receiving air indicator data collected by one or more air quality sensors, wherein the one or more air quality sensors are detachably coupled to a hardware base of the air quality monitoring station via one or more data communication interfaces, and the hardware base is communicably coupled to a remote server over a network; generating air quality data according to the air indicator data, wherein the air quality data is derived from air indicator data received from one or more air quality sensors over a distance traveled by the one or more air quality sensors; and sending the air quality data, via the hardware base, to the remote server.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method of processing air quality data, comprising: at a processing unit of a first air quality monitoring station, wherein the processing unit has one or more processors and memory: receiving air indicator data collected by one or more air quality sensors, wherein the one or more air quality sensors are detachably coupled to a hardware base of the air quality monitoring station via one or more data communication interfaces, and the hardware base is communicably coupled to a remote server over a network; generating air quality data according to the air indicator data, wherein the air quality data is derived from air indicator data received from one or more air quality sensors over a distance traveled by the one or more air quality sensors; and sending the air quality data, via the hardware base, to the remote server. 2 . The method of claim 1 , including: generating a data collection schedule for each of the one or more air quality sensors based on the air indicator data collected by the one or more air quality sensors, wherein a frequency of data collection for a respective air quality sensor in the data collection schedule for the air quality sensor is based at least in part on a rate of change in air quality data received from the respective air quality sensor. 3 . The method of claim 1 , including: generating different data collection schedules for a respective air quality sensor of the one or more air quality sensors based at least in part on different routes taken by the respective air quality sensor, including a first data collection schedule with a first data collection frequency for a first route taken by the respective air quality sensor, and a second data collection schedule with a second data collection frequency for a second route, different from the first route, taken by the respective air quality sensor. 4 . The method of claim 1 , including: generating a data collection schedule for a respective air quality sensor of the one or more air quality sensors, wherein the data collection schedule specifies a first data collection frequency for a first portion of a route taken by the respective air quality sensor, and specifies a second data collection frequency that is different from the first data collection frequency for a second portion of the route that is different from the first portion of the route. 5 . The method of claim 4 , wherein generating the data collection schedule for the respective air quality sensor of the one or more air quality sensors includes: selecting the first data collection frequency and the second data collection frequency based at least in part on historic air indicator data previously collected on the route. 6 . The method of claim 5 , wherein the historic air indicator data previously collected on the route include data collected by the respective air quality sensor and data collected by air quality sensors other than the respective air quality sensor. 7 . The method of claim 1 , including: receiving integrated air quality data from the remote server, wherein the integrated air quality data is derived from the air quality data submitted to the remote server by the first air quality monitoring station and one or more second air quality monitoring stations that are distinct from the first air quality monitoring stations, wherein the integrated air quality data combines the air quality data from the first air quality monitoring station and the one or more second air quality monitoring stations associated with the same geographic region. 8 . A system of processing air quality data, comprising: a processing unit of a first air quality monitoring station, wherein the processing unit has one or more processors and memory, the memory storing instructions, which when executed by the one or more processors, cause the processors to perform operations comprising: receiving air indicator data collected by one or more air quality sensors, wherein the one or more air quality sensors are detachably coupled to a hardware base of the air quality monitoring station via one or more data communication interfaces, and the hardware base is communicably coupled to a remote server over a network; generating air quality data according to the air indicator data, wherein the air quality data is derived from air indicator data received from one or more air quality sensors over a distance traveled by the one or more air quality sensors; and sending the air quality data, via the hardware base, to the remote server. 9 . The system of claim 8 , wherein the operations include: generating a data collection schedule for each of the one or more air quality sensors based on the air indicator data collected by the one or more air quality sensors, wherein a frequency of data collection for a respective air quality sensor in the data collection schedule for the air quality sensor is based at least in part on a rate of change in air quality data received from the respective air quality sensor. 10 . The system of claim 8 , wherein the operations include: generating different data collection schedules for a respective air quality sensor of the one or more air quality sensors based at least in part on different routes taken by the respective air quality sensor, including a first data collection schedule with a first data collection frequency for a first route taken by the respective air quality sensor, and a second data collection schedule with a second data collection frequency for a second route, different from the first route, taken by the respective air quality sensor. 11 . The system of claim 8 , wherein the operations include: generating a data collection schedule for a respective air quality sensor of the one or more air quality sensors, wherein the data collection schedule specifies a first data collection frequency for a first portion of a route taken by the respective air quality sensor, and specifies a second data collection frequency that is different from the first data collection frequency for a second portion of the route that is different from the first portion of the route. 12 . The system of claim 11 , wherein generating the data collection schedule for the respective air quality sensor of the one or more air quality sensors includes: selecting the first data collection frequency and the second data collection frequency based at least in part on historic air indicator data previously collected on the route. 13 . The system of claim 12 , wherein the historic air indicator data previously collected on the route include data collected by the respective air quality sensor and data collected by air quality sensors other than the respective air quality sensor. 14 . The system of claim 8 , wherein the operations include: receiving integrated air quality data from the remote server, wherein the integrated air quality data is derived from the air quality data submitted to the remote server by the first air quality monitoring station and one or more second air quality monitoring stations that are distinct from the first air quality monitoring stations, wherein the integrated air quality data combines the air quality data from the first air quality monitoring station and the one or more second air quality monitoring stations associated with the same geographic region. 15 . A non-transitory computer-readable storage medium storing instructions, the instructions, when executed by one or more processors of a processing unit of a first air quality monitoring station, cause the processing unit to perform operations comprising: receiving air indic

Assignees

Inventors

Classifications

  • specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

  • H04L67/32Primary

    Electricity · mapped topic

  • concerning the detector · CPC title

  • H04L67/60Primary

    Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources (admission control or resource allocation H04L47/70) · CPC title

  • Measuring or testing not otherwise provided for · CPC title

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What does patent US2018041606A1 cover?
A method of processing air quality data includes: receiving air indicator data collected by one or more air quality sensors, wherein the one or more air quality sensors are detachably coupled to a hardware base of the air quality monitoring station via one or more data communication interfaces, and the hardware base is communicably coupled to a remote server over a network; generating air quali…
Who is the assignee on this patent?
Tencent Tech Shenzhen Co Ltd
What technology area does this patent fall under?
Primary CPC classification H04L67/32. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Feb 08 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).