Machine learning monitoring air quality
US11719676B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Apr 2, 2021 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Jan 8, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02B30/70
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A system, method and a monitoring device for monitoring air quality of a closed space are disclosed. A plurality of ducts is coupled with the closed space and the plurality of monitoring devices monitors a quality of air inside the plurality of ducts. Each of the plurality of monitoring devices stores a location of placement of each of a monitoring device present inside the closed space, learns a level of carbon dioxide present inside the closed space over a period of time and estimate a number of occupants present inside the closed space based on the level of carbon dioxide present inside the closed space using a machine learning model. Further, the plurality of monitoring devices transmits the monitored quality of air inside the closed space along with the location of the placement of each of the monitoring device and the identified number of occupants to a cloud server.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.