Air quality monitoring system and enhanced spectrophotometric chemical sensor
An air quality monitoring system that enables a wide scale deployment of instruments with enough accuracy for meaningful and actionable data is provided. In one aspect, an advanced technique is used to calibrate limited-capability gaseous chemical sensors to obtain accurate measurements by cross-calibrating those sensors with reference sensors to correct sensitivities to parameters that cause errors to measurements of targeted gases. In another aspect, air quality measurements are used to identify sources of chemicals in a localized level by accounting for local conditions using data such as ambient condition data and user-provided data about the local environment. In yet another aspect, a gaseous chemical sensor with an improved encasement having a cell for reflecting and lengthening light path is provided to reduce the limitations and enhance the accuracy of a conventional spectrophotometric gaseous chemical sensor.
1. A computer-implemented method for identifying origins of a target chemical detected by an air quality monitor, the computer-implemented method comprising:
determining user-input data related to environment associated with the air quality monitor;
determining measurements for the target chemical taken by the air quality monitor over a period;
determining additional data associated with the measurements, the additional data corresponding to the environment;
identifying a plurality of possible sources of the target chemical based at least in part on user-input data and the additional data;
determining a source from the plurality of possible sources of the target chemical by correlating the measurements with the user-input data and the additional data, the correlating including recognizing that the determined source is most correlated to patterns of the measurements, the user-input data and the additional data; and
outputting the determined source to a computing device.
2. The computer-implemented method of claim 1 , wherein the user-input data includes conditions associated with a location where the air quality monitor was deployed.
3. The computer-implemented method of claim 1 , wherein the user-input data includes one or more of types of data that include events that can cause chemicals in the air, layout of a location where the air quality monitor was deployed, personal data associated with a user, or type and location of objects around the location where the air quality monitor was deployed.
4. The computer-implemented method of claim 1 , wherein the additional data includes weather data from weather stations, traffic data from traffic management administration, and chemical events from government reporting agencies.
5. The computer-implemented method of claim 1 , further comprising:
determining suggested actions for reducing amount of the target chemical from the determined source, the suggested actions based at least in part on the user-input data and the additional data; and
causing the suggested actions to be displayed in a user-interface of the computing device.
6. The computer-implemented method of claim 5 , wherein the suggested actions include reducing use of a chemical associated with the determined source in a location proximate to the air monitor device.
7. The computer-implemented method of claim 1 , further comprising:
determining suggested actions for reducing exposure to the target chemical, the suggested actions based at least in part on user-input data and the additional data; and
causing the suggested actions to be displayed in a user-interface of the computing device.
8. An air quality monitoring system comprising:
an air quality monitor;
a processor configured to perform a computer-implemented method comprising:
determining user-input data related to environment associated with the air quality monitor;
determining measurements for the target chemical taken by the air quality monitor over a period;
determining additional data associated with the measurements, the additional data corresponding to the environment;
identifying a plurality of possible sources of the target chemical based at least in part on user-input data and the additional data;
determining a source from the plurality of possible sources of the target chemical by correlating the measurements with the user-input data and the additional data, the correlating including recognizing that the determined source is most correlated to patterns of the measurements, the user-input data and the additional data; and
outputting the determined source to a computing device.
9. The air quality monitoring system of claim 8 , wherein the user-input data includes conditions associated with a location where the air quality monitor was deployed.
10. The air quality monitoring system of claim 8 , wherein the user-input data includes one or more of types of data that include events that can cause chemicals in the air, layout of a location where the air quality monitor was deployed, personal data associated with a user, or type and location of objects around the location where the air quality monitor was deployed.
11. The air quality monitoring system of claim 8 , wherein the additional data includes weather data from weather stations, traffic data from traffic management administration, and chemical events from government reporting agencies.
12. The air quality monitoring system of claim 8 , wherein the computer-implemented method further comprising:
determining suggested actions for reducing amount of the target chemical from the determined source, the suggested actions based at least in part on the user-input data and the additional data; and
causing the suggested actions to be displayed in a user-interface of the computing device.
13. The air quality monitoring system of claim 12 , wherein the suggested actions include reducing use of a chemical associated with the determined source in a location proximate to the air monitor device.
14. The air quality monitoring system of claim 8 , wherein the computer-implemented method further comprising:
determining suggested actions for reducing exposure to the target chemical, the suggested actions based at least in part on user-input data and the additional data; and
causing the suggested actions to be displayed in a user-interface of the computing device.