Low-altitude meteorological element information processing method based on mobile grid

Abstract

The invention provides a low-altitude meteorological element information processing method based on a mobile grid. The low-altitude meteorological element information processing method comprises the following steps of S1, collecting meteorological station data of a low-altitude airspace and performing preprocessing; s2, collecting position longitude and latitude information of the low-altitude airspace route in the moving process; s3, designing WRF mode area grids at different time intervals; s4, through configuration of a regional high-resolution numerical weather forecast system, selecting a physical parameterization scheme and a near-ground vertical layer number; and S5, forecasting a meteorological element forecasting field of 1km horizontal resolution of the double nested moving grid at different times through WRF mode integration. The invention provides a thought and a method for predicting and forecasting meteorological information on other national low-altitude airspace airlines in the future.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to View More

AI Technical Summary

Benefits of technology

This technology uses an algorithm called Mobile Spatial Network (MSN) that predicts weather conditions over specific routes around China's borders during different stages or phases of development. It also analyzes the road network within this region without requiring detailed analysis from all its surrounding regions. Overall, these techniques help improve understanding about atmospheric phenomena such as temperature fluctuations, wind speed variations, rain fall, snowfall, etc., making them useful tools for planning future travel paths and improving safety measures under various scenarios like winter droughts.

Problems solved by technology

This patents describes different aspects that contribute to the instability of low altitudes around urban centers due to factors like glare caused by lightning strikes, rain storms, snowfall, and sea ice accidents. These issues lead to potential crashes at lower levels where pilots may face danger without being able to escape through these threatening situations. Current methods involve navigational systems, radio communicators, and terrestrial surveillance devices, but they often require multiple assets and infrastructure support. There currently exist various solutions involving artificial intelligence technologies, including autonomous heliplanes equipped with cameras and sensors, remote controlled drilling rigs, and deep ocean observation mats.

Images