A team of scientists from Japan's Osaka Metropolitan University (OMU) and University of Tokyo have developed a multitasking weather sensor that measures rain volumes and wind speeds.
The lightweight sensor sheet incorporates machine learning reservoir computing to analyze the output data, and can rapidly deliver localized weather data.
The sensor quantifies rain volume by measuring the electrical resistance produced by raindrop impacts, and derives wind speed measurements from water droplet behavior.
The sensors detect resistance changes triggered by shifting rain and wind conditions, then record them as time-series data; the researchers fed this data to the machine, which yielded rain volume and wind speed data.
"The findings open up a promising economical approach to weather reporting, contributing to disaster preparedness and greater community safety," said OMU's Kuniharu Takei.
From Osaka Metropolitan University (Japan)
View Full Article
Abstracts Copyright © 2022 SmithBucklin, Washington, DC, USA