GPU (Graphics Processing Unit) accelerated mass target efficient rendering method based on WebGL (Web Graphics Library)

Abstract

The invention provides a GPU (Graphics Processing Unit) acceleration mass target efficient rendering method based on WebGL (Web Graphics Library), which comprises the following steps: step 1, in a main thread, the range of a current three-dimensional scene is sent to a WebWorker process through a PostMessage method at set intervals; step 2, the WebWorker process obtains a view range through an OnMessage method and then sends a data request to a dynamic target data server, and the dynamic target data server returns data of the current batch according to a query result; step 3, the WebWorker process needs to compare and classify the data after acquiring the data, and after comparison, a state attribute Status is added to the attribute of each target data; and step 4, after the data classification processing is completed, the WebWorker process returns the batch of data to the host process for rendering, and modifies the previous batch of data into the data requested to be returned currently.

Description

technical field [0001] The invention relates to the technical field of geographic information display, in particular to a WebGL-based GPU-accelerated high-efficiency rendering method for massive targets. Background technique [0002] With the development of technologies such as wireless communication, space positioning and measurement, people's information management of space objects has gradually expanded from static to dynamic. Especially the moving target moving in the real three-dimensional space has attracted more and more attention. Intelligent transportation, electronic battlefield, logistics management, mobile e-commerce, traveler service and other LBS services are all inseparable from efficient moving object information management mechanism. With the maturity of 3D GIS (Geographic Information System) and virtual reality technology, the information management of moving objects also needs to be extended from the original one-dimensional or two-dimensional to three-di...

AI Technical Summary

Problems solved by technology

However, when loading data, all attribute information of the node needs to be registered in the monitoring function, and the loading efficiency will not be affected when the amount of data is not large

However, if the amount of data is large, the loading and display scheduling performance of the data will be greatly affected for the loading and display of massive target objects, resulting in serious freezes in the scene after the data loading is completed.

Images