系统仿真学报 ›› 2018, Vol. 30 ›› Issue (7): 2540-2549.doi: 10.16182/j.issn1004731x.joss.201807014

• 仿真系统与技术 • 上一篇    下一篇

支持多用户的三维地震体远程可视化关键技术

纪连恩1,2, 赵妮1,2, 梁适宜1,2, 黄博1,2   

  1. 1. 中国石油大学(北京)地球物理与信息工程学院, 北京 102249;
    2. 石油数据挖掘北京市重点实验室, 北京 102249
  • 收稿日期:2017-07-29 出版日期:2018-07-10 发布日期:2019-01-08
  • 作者简介:纪连恩(1972-),男,山东高唐,博士,副教授,研究方向为可视化技术、计算机图形学和人机交互;赵妮(1994-),女,河北保定,硕士生,研究方向为可视化技术。
  • 基金资助:
    国家自然科学基金(60873093)

Key Techniques of Remote Visualization of 3D Seismic Volume Supporting Multi-user

Ji Lianen1,2, Zhao Ni1,2, Liang Shiyi1,2, Huang Bo1,2   

  1. 1. College of Geophysics and Information Engineering, China University of Petroleum, Beijing 102249, China;
    2. Beijing Key Laboratory of Petroleum Data Mining, Beijing 102249, China
  • Received:2017-07-29 Online:2018-07-10 Published:2019-01-08

摘要: 在面向多用户的大规模地震体远程可视化中,针对传统任务调度策略会导致大量I/O操作和体纹理重复计算的问题,设计了基于视点相关的体绘制任务重排算法,改进了批量并行绘制任务调度策略,并进一步实现了基于并行保护锁的LRU缓冲区更新策略。为解决地震体可视化图像的传输效率与显示质量的矛盾,满足用户优先观察感兴趣区域的需求,设计了基于感兴趣区域优先编码的地震体图像渐进式传输方法。实验表明,该方法使纹理体块缓冲区命中率提升了6.2%,平均绘制时间减少了14%,低网速场景下传输44.5%的图像数据即可清晰展示地震体可视化结果。

关键词: 大规模地震体, 远程可视化, 多视点, 多任务调度

Abstract: During the remote visualization of large-scale seismic volume for multi-user concurrent interaction, traditional task scheduling approaches could lead to large amount of I/O operation and repetitive calculation of volume texture blocks. So, a more efficient multi-task scheduling strategy was proposed, which rearranged the schedule order of volume rendering tasks through computing their viewpoint correlation. Furthermore, an optimized design of LRU based on parallel protection lock was made. In order to improve the network transmission efficiency and quality of seismic visualization image simultaneously, and to meet the requirement of users to observe the region of interest (ROI) preferentially, the progressive transmission technique with ROI-first was developed. Experimental results show that the proposed methods can improve the hit rate of texture block buffer by 6.2%, reduce the average rendering time by 14%, and clearly show the visual results of seismic volume through only transmitting 44.5% of whole image data in the low-speed network.

Key words: large-scale seismic volume, remote visualization, multi-viewpoint, multi-task scheduling

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