Airport noise classification method and system
US11593610B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 17, 2019 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | Sep 12, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03G3/32
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An aircraft noise monitoring system uses a set of geographically distributed noise sensors to receive data corresponding to events captured by the noise sensors. Each event corresponds to noise that exceeds a threshold level. For each event, the system will receive a classification of the event as an aircraft noise event or a non-aircraft noise event. It will then use the data corresponding to the events and the received classifications to train a convolutional neural network (CNN) in a classification process. After training, when the system receives a new noise event, it will use the CNN to classify the new noise event as an aircraft noise event or a non-aircraft noise event, and it will generate an output indicating whether the new noise event is an aircraft noise event or a non-aircraft noise event.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.