Intelligent real-time mobile mapping air quality monitoring system

TWM688188UActive Publication Date: 2026-10-01HUANXING TECHNOLOGY CO LTD
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Patent Information

Application Number
TW115205596
Authority / Receiving Office
TW · TW
Patent Type
Utility models
Current Assignee / Owner
Filing Date
2026-06-17
Publication Date
2026-10-01
Estimated Expiration
2036-06-16

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Abstract

This invention provides an intelligent real-time mobile mapping air quality monitoring system, including multiple monitoring instruments, a spatiotemporal synchronization processing module, a front-end user interface device, and a system central control module. The spatiotemporal synchronization processing module is electrically connected to the multiple monitoring instruments and is configured to execute a compensation algorithm to perform a nonlinear delay correction based on the response time of each environmental data from the multiple monitoring instruments, thereby precisely aligning each environmental data with a spatial coordinate on a time axis. The front-end user interface device is electrically connected to the spatiotemporal synchronization processing module, and the system central control module is electrically connected to both the spatiotemporal synchronization processing module and the front-end user interface device, and is configured to be responsible for the bidirectional management of the spatiotemporal synchronization processing module and the front-end user interface device.
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Claims

1. An intelligent, real-time mobile mapping air quality monitoring system, comprising: Multiple monitoring instruments, mounted on a mobile carrier, are configured to asynchronously acquire multiple environmental data points for multiple pollutants in the surrounding environment of the mobile carrier; a communication protocol decoding module, electrically connected to the multiple monitoring instruments, is configured to decode a closed communication protocol of the multiple monitoring instruments to output standardized environmental data; a spatiotemporal synchronization processing module, electrically connected to the communication protocol decoding module, is configured to execute a compensation algorithm to perform a nonlinear delay correction based on the response time of each environmental data point from the multiple monitoring instruments, precisely aligning each environmental data point from each monitoring instrument with a spatial coordinate on a time axis; a front-end user interface device, electrically connected to the spatiotemporal synchronization processing module, is configured to execute dynamic color threshold adjustment logic and batch data storage; and a system central control module, electrically connected to the spatiotemporal synchronization processing module and the front-end user interface device, is configured to be responsible for bidirectional management of the spatiotemporal synchronization processing module and the front-end user interface device, including starting, stopping, and reading configuration files to configure system parameters.

2. The intelligent real-time mobile mapping air quality monitoring system as described in claim 1, wherein, The dynamic color threshold converts green, yellow, orange, and red into trajectory colors with spatial attributes, and simultaneously into a visual dynamic curve that changes over time.

3. The intelligent real-time mobile mapping air quality monitoring system as described in claim 1 further includes a trigger sampling device electrically connected to the spatiotemporal synchronization processing module and configured to automatically trigger the collection of a physical sample based on a real-time concentration threshold.

4. The intelligent real-time mobile mapping air quality monitoring system as described in claim 3, wherein, The multiple monitoring instruments include a volatile organic compound (VOC) sensing device, a particulate pollutant (PPAR) sensing device, a global positioning system (GPS) device, and a photographic device. The VOC sensing device is configured to acquire VOC concentration data, the PPAR sensing device is configured to acquire PPAR concentration data, the GPS device is configured to acquire the spatial coordinates of the current location, and the photographic device is configured to acquire a live image of the current location. The multiple environmental data include the VOC concentration data, the PPAR concentration data, the spatial coordinates, and the live image.

5. The intelligent real-time mobile mapping air quality monitoring system as described in claim 4, wherein, The communication protocol decoding module includes at least one RS-232 to USB interface and one RJ-45 to USB interface.

6. The intelligent real-time mobile mapping air quality monitoring system as described in claim 5, wherein, The volatile organic compound sensing device is electrically connected to the spatiotemporal synchronization processing module via the RS-232 to USB interface.

7. The intelligent real-time mobile mapping air quality monitoring system as described in claim 6, wherein, The particulate pollutant sensing device is electrically connected to the spatiotemporal synchronization processing module via the RJ-45 to USB interface.

8. The intelligent real-time mobile mapping air quality monitoring system as described in claim 1 further includes a pollution source estimation module electrically connected to the spatiotemporal synchronization processing module and configured to calculate a spatial distribution gradient of a pollutant concentration based on the plurality of environmental data processed by the spatiotemporal synchronization processing module, and to estimate a potential location of at least one pollution source based on the spatial distribution gradient of the pollutant concentration and a movement trajectory of the mobile carrier.

9. The intelligent real-time mobile mapping air quality monitoring system as described in claim 8, wherein, The pollution source estimation module is also configured to perform a vector analysis based on concentration change data at multiple time points, and to locate the potential location of the at least one pollution source by the intersection of multiple spatial distribution gradients.

10. The intelligent real-time mobile mapping air quality monitoring system as described in claim 1, wherein, The nonlinear delay correction is to calculate the time deviation between the response times of each environmental data of each monitoring instrument and perform a timestamp correction so that the synchronization error is less than 1 second.