US 12,264,835 B2
Whole building air quality control system
John Bloemer, Madison, WI (US); Sundar Baladhandapani, Madison, WI (US); Jatin Khanpara, Madison, WI (US); Casey Klock, Madison, WI (US); Gerald McNerney, Madison, WI (US); David Detlefsen, Madison, WI (US); Daniel Parent, Madison, WI (US); Guolian Wu, Madison, WI (US); and Travis J. Blackburn, Madison, WI (US)
Assigned to Research Products Corporation, Madison, WI (US)
Filed by RESEARCH PRODUCTS CORPORATION, Madison, WI (US)
Filed on Jun. 17, 2022, as Appl. No. 17/843,324.
Claims priority of provisional application 63/211,790, filed on Jun. 17, 2021.
Prior Publication US 2022/0404056 A1, Dec. 22, 2022
Int. Cl. F24F 11/64 (2018.01); F24F 11/46 (2018.01); F24F 11/52 (2018.01); F24F 110/50 (2018.01)
CPC F24F 11/64 (2018.01) [F24F 2110/50 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A whole building air quality control system, comprising:
an indoor air quality (IAQ) component having at least one control state;
a plurality of sensors configured to measure a plurality of building conditions of a building space; and
a controller communicably coupled to the IAQ component and the plurality of sensors, the controller comprising memory storing a desired air quality index (AQI) and a plurality of IAQ parameter ranges for each of the plurality of building conditions, the desired AQI comprising a categorical variable having a number of values, each value of the categorical variable corresponding to a subset of the plurality of IAQ parameter ranges for each of the plurality of building conditions, the controller configured to iteratively modify a control state of the IAQ component using a machine learning algorithm until the plurality of building conditions of the building space satisfy the desired AQI.