A hierarchical time-sharing rendering optimization method for micro-scenes oriented to low-latency interaction

Abstract

The invention discloses a low-latency interaction-oriented micro-scene hierarchical time-sharing rendering optimization method, comprising: 1. dividing the multi-dimensional space of urban training activities into three levels: physical space, entity space and application space; 2. designing a rendering architecture ;3. Establish the relationship between channel nodes and resource nodes. The rendering channel reads the resource as input and writes data to the resource at the same time; 4. Define the execution order of the rendering channel, and perform resource scheduling and processing from a global perspective through the rendering framework. Rendering optimization. The present invention realizes the refined display of micro-scenarios in urban drills, provides drill commanders with various visual effects based on microscopic target characteristics, and can provide drill commanders during small-scale drills in urban drills. Players can provide a variety of training visual effects based on micro-target characteristics, quickly focus on the battlefield environment in a specific area, accurately grasp the situation of the training scene, make quick decisions and implement action control.

Description

technical field [0001] The invention belongs to the field of urban training information systems, and in particular relates to a micro-scene hierarchical time-sharing rendering optimization method for low-delay interaction. Background technique [0002] In urban training activities, the training commanders and training members have poor real-time perception ability of urban ground buildings, especially water pipes and power grids in underground facilities, and it is difficult to quickly form an advantage in the perception of the urban environment, which seriously threatens training members viability. By breaking through the construction and display technology of the multi-dimensional spatial information structure model of urban training activities, and realizing the twin reconstruction of the urban training environment, it is possible to clear away the urban fog and provide training commanders with micro-target characteristics based on the complex environment of urban trainin...

AI Technical Summary

Problems solved by technology

[0003] The real-time display of multi-dimensional spatial information in urban training activities needs to be based on the efficient rendering of complex and detailed urban micro-scenes. Currently, the main ideas for scene rendering efficiency optimization are LOD preprocessing and efficient occlusion removal. It cannot solve the problem of low similarity between massive scene objects, and it is difficult to batch materials together, resulting in a performance bottleneck caused by frequent changes in the rendering state of the GPU, and this performance bottleneck cannot be eliminated by local optimization methods

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