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金属矿山 ›› 2025, Vol. 54 ›› Issue (12): 216-222.

• 安全与环保 • 上一篇    下一篇

融合改进A∗算法与VR技术的矿井应急路线设计

段 伟 王建国 郭建军   

  1. 国能包头能源有限责任公司李家壕煤矿,内蒙古 鄂尔多斯 017008
  • 出版日期:2025-12-15 发布日期:2025-12-31
  • 通讯作者: 王建国(1989—),男,工程师。
  • 作者简介:段 伟(1984—),男,高级工程师,硕士。
  • 基金资助:
    国家自然科学基金项目(编号:71801195)。

Emergency Route Design for Mine Incidents Integrating Improved A∗ Algorithm and VR Technology

DUAN Wei WANG Jianguo GUO Jianjun   

  1. Lijiahao Coal Mine,China Energy Baotou Energy Co.,Ltd.,Ordos 017008,China
  • Online:2025-12-15 Published:2025-12-31

摘要: 矿井突发事件中传统应急路线规划存在动态适应性不足、计算效率低及可视化交互缺失等问题,严重 威胁了矿工安全。针对上述问题,提出了一种融合改进A∗算法与虚拟现实技术的矿井应急路线设计方法。首先,针 对传统A∗算法在动态环境中的局限性,通过双向搜索策略优化路径搜索效率,引入动态代价函数增强对危险源变化 的适应性,并结合坡度影响因子修正三维路径权重,构建了动态应急路线规划模型;然后集成VR技术开发了可视化 交互系统,实现了路径动态调整、沉浸式演练与远程指挥功能。试验表明:改进A∗算法在23次迭代内收敛,路径设计 耗时仅8.32 s,避障成功率达到97.79%。基于虚拟现实技术的训练使矿工逃生成功率提高至95.1%,较2D地图训练 提升了24.6%。研究反映出所提矿井应急路线设计方案在优化路径规划效率的同时,增强了动态环境适应能力,结 合VR交互系统的可视化演练与远程指挥功能,使矿工能够在沉浸式环境中熟悉逃生路径,并提升突发情况下的矿井 应急救援能力。

关键词: 矿井应急管理 改进A?算法 虚拟现实 路径规划 避障优化

Abstract: In mine emergency incidents,traditional emergency route planning suffers from insufficient dynamic adaptabil ity,low computational efficiency,and the lack of visual interaction,which seriously threatens the safety of miners.To address these issues,a mine emergency route design method integrating an improved A∗ algorithm and virtual reality technology is pro posed.Firstly,to overcome the limitations of the traditional A∗ algorithm in dynamic environments,a bidirectional search strate gy is adopted to optimize the path search efficiency,a dynamic cost function is introduced to enhance adaptability to changes in hazard sources,and a slope influence factor is combined to correct the three-dimensional path weights,thereby constructing a dynamic emergency route planning model.Secondly,a visual interaction system is developed by integrating VR technology, which realizes functions such as dynamic path adjustment,immersive drills,and remote command.Experiments show that the improved A∗ algorithm converges within 23 iterations,with a path design time of only 8.32 s and an obstacle avoidance success rate of 97.79%.Training based on virtual reality technology increases the miners' escape success rate to 95.1%,a 24.6% im provement over 2D map training.The research demonstrates that the proposed mine emergency route design scheme not only optimizes the efficiency of path planning but also enhances the adaptability to dynamic environments.Combined with the visual interaction and remote command functions of the VR system,miners can familiarize themselves with escape routes in an immer sive environment and improve their emergency rescue capabilities in sudden situations.

Key words: mine emergency management,improved A? algorithm,virtual reality,path planning,obstacle avoidance opti mization

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