Abstract: An air quality management system comprises a plurality of air quality sensors to sense air quality within a building, a plurality of air cleaning devices, and a computer system in communication with the plurality of air quality sensors and the plurality of air cleaning devices. The plurality of air quality sensors is located at a particular location within the building. The computer system determines a correlational model of air quality for the building that indicates a correlational relationship between the sensed air quality, a spatial parameter, a temporal parameter, and operation of the air cleaning devices. The computer system controls the plurality of air cleaning devices to implement an air quality control policy based on one or more air quality management parameters.

Abstract: An optical-particle sensor head comprises an electromagnetic radiation source to transmit electromagnetic radiation toward the detection chamber; one or more baffles, between the light source and the detection chamber, to restrain a spread of the electromagnetic radiation from the electromagnetic radiation source; and at least two off-angle photo-sensors.

Abstract: A low energy particle detection device comprises alight source, multiple photodetectors positioned at different scattering angles, and a microcontroller for computing a total mass concentration of fine and ultrafine particles and a mass fraction of ultrafine particles to fine particles in an incoming air particle airflow based on the ratio of the readings from the multiple photodetectors. The optical particle detection device also can determine surface area concentration of the air particle sample and the associated lung deposited surface area (LDSA) to measure and improve estimates of air quality.

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.

Abstract: Systems and methods collect time and location indexed (spatiotemporal) air quality measurements for an individual and aggregate those measurements to obtain cumulative air quality exposures for the individual that are presented to the individual with an interactive graphical display. A plurality of air quality sensors each transmits air quality data to the data center. The air quality sensors can comprise both indoor and outdoor air quality sensors. The data center stores the temporally-indexed user location information and the spatiotemporally-indexed air pollution information from the air quality sensors. Based on this information, it calculates user air quality exposure measures and transmits them to a graphical display device associated with the individual so that the individual can visualize his/her pollution exposure over time.

Abstract: Systems and methods batch calibrate environmental sensors. Candidate environmental sensors and a high-performance reference sensor are located in an enclosure with a particle excitation system that controls the particle concentration in the enclosure. The calibration process includes multiple phases with different particle concentrations, and the candidate and reference sensors continuously report their particle counts to a calibration server during these phases. Based on the collected data, the calibration server: (i) identifies for removal candidate sensors with outlying behavior through statistical analysis; and (ii) computes calibration values for the particle count estimation algorithms for the remaining candidate sensors that are optimized to minimize the error relative to the reference sensor(s).