Controlling in-vehicle air quality
US10828959B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 15, 2017 |
| Grant date | Nov 10, 2020 |
| Priority date | — |
| Expiry date | Apr 26, 2038 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60H1/00821
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A method to train a machine learning model for in-vehicle air quality control in a knowledge-based system, executed by one or more computer processors, includes collecting data related to in-vehicle air quality from a plurality of probe cars where the data is collected by various on-board systems in each probe car. The method includes correlating the data related to in-vehicle air quality from each probe car with air quality measurements from each probe car, where the correlation is used to update the machine learning model. The method includes determining a situation when an in-vehicle air quality measurement of the air quality measurements is above a pre-determined in-vehicle air quality level and determining instructions for actions by one or more of the one or more on-board systems in each of the probe cars to maintain an in-vehicle air quality level at or below the pre-determined in-vehicle air quality level.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.