Micro-scene grading and time-sharing drawing optimization method oriented to low-delay interaction

Abstract

The invention discloses a micro-scene grading and time-sharing drawing optimization method oriented to low-delay interaction. The method comprises the steps of 1, dividing a multi-dimensional space of an urban training activity into a physical space, an entity space and an application space; 2, designing a rendering architecture; 3, creating the relationship dependency between the channel node and the resources node, wherein the rendering channel reads the resource as input, and writes the data to the resources at the same time; and 4, defining an execution sequence of rendering channels, and carrying out resource scheduling and rendering optimization from a global perspective through a rendering framework. Fine display of the micro scene in the urban demonstration training activity is realized, various visual effects based on the microscopic target characteristics are provided for demonstration training commanders, various demonstration training visual effects based on the microscopic target characteristics can be provided for the demonstration training commanders in the small-scale demonstration training action process of the urban demonstration training activity. A battlefield environment in a specific area is quickly focused, the training scene condition is accurately mastered, a decision is quickly made, and action control is implemented.

Description

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

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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