A Method and an Apparatus for Characterizing an Airflow

Publication: EP3734296A1
Published: 2020-11-04
Family Size: 8
Granted: Yes (1/8)

Simple SummaryContent extracted from patent full text and abstract with AI.

This invention describes a method and apparatus for determining characteristics of an airflow, such as wind speed and direction, by analyzing the acoustic signals (wind noise) captured with closely-spaced microphones. Instead of using traditional mechanical, ultrasonic, or thermal sensors, this approach uses digital signal processing to extract airflow-related features directly from the noise generated by the air moving past a microphone array. The system can operate using standard audio frequency ranges (20 Hz – 20 kHz), making it suitable for integration into existing audio devices like smartphones and cameras. Both model-based and machine learning techniques are used to estimate wind properties from the acquired acoustic features.

Use CasesContent extracted from patent full text and abstract with AI.

  • Smartphones, tablets, or cameras that need to estimate wind speed and direction for outdoor use or audio quality enhancement.
  • Internet-of-things (IoT) devices, smart homes, and weather stations requiring low-maintenance wind sensing.
  • Drones and unmanned aerial vehicles needing compact and integrated wind monitoring capabilities.
  • Wearable technology for athletes or outdoor enthusiasts to track environmental conditions.
  • Industrial monitoring of airflow in ducts or close to sensitive equipment.
  • Augmenting personal hearing aids or audio recording devices for improved wind noise reduction based on actual wind data.

BenefitsContent extracted from patent full text and abstract with AI.

  • Eliminates the need for moving parts, reducing maintenance and increasing reliability.
  • Smaller and more easily integrated into compact electronic devices compared to traditional anemometers.
  • Potentially lower-cost than ultrasonic or laser-based wind sensors.
  • Provides rapid and accurate estimation of both wind speed and direction.
  • Can leverage existing hardware in devices already featuring a microphone array, enabling software-only upgrades.
  • Suitable for a wide range of environments, including indoor and outdoor settings.
  • Enables smarter wind noise suppression and environmental adaptation for devices with audio functionality.

Technical Classifications (CPCs)

Main Classifications

Electrical & Electronic Tech

Physics & Measurement

Sub Classifications

Electric Communication Technique

Measuring & Testing

CPC Codes

G01P5/24G01P5/245H04R3/005

Inventors & Applicants

Applicants

Fraunhofer Ges Forschung

Univ Friedrich Alexander Er

Patent Abstract

Method for charactering an airflow, comprising the following steps:• receiving acoustic signals generated by the airflow by means of a microphone array;• extracting a characteristic information from the acoustic signals;• determining an information on the airflow based on the characteristic information.

Key Information

Publication No.

EP3734296A1

Family ID

66397153

Publication Date

2020-11-04

Application No.

EP19172590A

Application Date

2019-05-03

Priority Date

2019-05-03

Granted

Yes (1/8)

Possible Cooperation

For further information please contact the transfer office.