AOI adaptive observation method and system for networked weather radar

Abstract

The invention discloses an adaptive observation method and system for AOI applicable to networked weather radars, and relates to the technical field of networked radars. The method comprises the steps of: constructing a three-dimensional grid point field of a weather radar network, analyzing the coverage information on the contour surface and between layers of equal height to obtain radar coverage information of each grid point; determining the radar coverage information of each grid point according to the radar coverage information of each grid point. The final reflectivity value of the grid point; obtain the layer combination reflectivity information of each layer contour surface at the set spatial height, and carry out the identification of the strong convection center and area based on the fusion information of the multi-layer layer combination reflectivity information; Radar data, trigger the radar volume scan mode based on joint extrapolation of ground potential and machine learning or trigger the radar volume scan mode based on strong convective center and area identification. The invention enables the volume scanning mode of the newly added radar to achieve better matching for the strong convection center and the area, and makes full use of the detection capability of the newly added radar.

Description

technical field [0001] The invention relates to the technical field of networking radar, in particular to an adaptive observation method and system suitable for AOI for networking weather radar. Background technique [0002] The networked weather radar can increase the dimension and confidence of measurement, improve the fault tolerance and robustness of the system, and has been widely used in modern comprehensive meteorological observation systems. In the weather radar network, how to coordinate the observation of various radars in the weather radar network according to the information of the key observation area (AOI, the full name of Area Of Interest, also known as the key area) is one of the main research directions in the field of radar detection. The key observation area (AOI), as an example, is a strong convection area when the weather occurs, a set key service area, a manually selected key area, and the like. [0003] When conducting 3D detection and collaborative d...

AI Technical Summary

Problems solved by technology

The existing technology has the following defects: firstly, it is highly dependent on the operation level of the radar operator; secondly, it is difficult to ensure that the scanning center of each sector sweep is optimally aligned with the observation target during manual setting, resulting in a decrease in observation accuracy; Furthermore, since the manually set sector sweep range is often much larger than the sector sweep area required by the target to be observed, in the case of a fixed sector sweep speed, the intercepted effective data rate is low, and the front-end sorting data processing and computing resources Maintenance causes a lot of pressure

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