Design and demonstration of intelligent mine evacuation and mine rescue system

项目摘要： 当矿工的生命受到威胁时，或者工人从危险环境中自行逃生受到阻碍时， 地雷应急系统必须迅速作出反应和部署。事故后的矿井环境可能 会大大增加使命的风险和救援队的压力。救援使命的任何延误都可能 牺牲了被困矿工的生命自我逃生和矿井救援在很大程度上取决于每个人的技能水平 做好准备做出正确的决定。引入智能系统，以协助采矿人员和 在紧急情况下，矿山救援队将大大提高成功的可能性，同时减少 矿工的风险这项拟议中的研究是一项跨学科的合作，以改善自我逃避和地雷 通过创新的机器人和自主解决方案进行救援。这个项目汇集了一个多样化的和高度 来自三所矿业学校（新墨西哥州理工学院，亚利桑那大学， 内华达州、里诺），来自NIOSH矿业公司、桑迪亚国家实验室、美国宇航局的研究人员，利益相关者，矿业公司， 和技术开发商/许可人。该项目的目标是解决关键的NIOSH-NORA采矿问题 中期目标“改进对地雷灾害的反应（目标2）”。我们建议设计并展示 用于地下采矿应用的智能矿井疏散和矿井救援系统。首先，我们将设计 一个多代理机器人系统，以协助矿山救援人员在救援任务在地下矿山。多- 代理系统是地面和空中交通工具的组合，具有互补的能力，以完成一个 营救使命。其次，我们将开发算法，帮助矿工找到最安全、最快速的安全路径。 该算法依赖于现有的通信和跟踪系统，该系统将人为因素纳入通信系统。 仿真模型。第三，我们将设计一个新的通信系统，以优化定位，跟踪， 与被困矿工沟通，并在可能的情况下提供人工智能辅助的自我逃生。最后，我们将创建 并提供技术驱动的混合培训产品，以提高自我逃生和矿山救援， 纳入本项目中开发的工具和战略。作为桥梁的“混合”模块 传统的桌面活动，动手训练活动和全面的综合学习环境之间的差异。 这一努力还将侧重于发展矿山健康和安全领域的专门知识， 博士还有五个硕士学生这项研究的研究到实践（r2 p）计划包括传播 通过出版物、培训和研讨会、与行业合作伙伴合作， 开发和增强，以及与NIOSH矿业合作的技术实施， 持份者拟议工作的中期成果包括采用已开发的技术 通过与合作伙伴采矿业务和技术开发商/许可证颁发者合作， 以能力为基础的培训产品，包括项目成果以及出版物和专利。的 该项目的最终目标是引入新的自主解决方案，以改善自我逃生和矿井救援。

PROJECT ABSTRACT: When the lives of miners are in danger, or the workers self-escape from a hazardous environment is impeded, mine emergency response systems must respond and deploy rapidly. The post-accident mine environment may significantly increase the mission’s risk and the stress on the rescue team. Any delays in the rescue mission can cost the lives of the trapped miners. Self-escape and mine rescue heavily rely on each individual’s level of skills and preparedness to make the correct decision. Introducing an intelligent system to assist mine personnel and mine rescue team during an emergency will significantly improve the likelihood of success while reducing the risks to miners. This proposed research is an interdisciplinary collaboration to improve self-escape and mine rescue through innovative robotic and autonomy solutions. This project brings together a diverse and highly reputable group of faculty from three mining schools (New Mexico Tech, University of Arizona, University of Nevada, Reno), researchers from NIOSH-Mining, Sandia National Lab, NASA, stakeholders, mining companies, and technology developers/licensors. The project goals were developed to address key NIOSH-NORA mining intermediate goal “to improve mine disaster response (objective 2).” We propose to design and demonstrate intelligent mine evacuation and mine rescue systems for underground mining applications. First, we will design a multi-agent robotic system to assist mine rescuers during rescue missions in underground mines. The multi- agent system is a combination of ground and aerial vehicles with complementary capabilities to complete a rescue mission. Second, we will develop algorithms to assist miners to find the safest and fast paths to safety. The algorithm relies on the existing communication and tracking system incorporating human factors into the simulation models. Third, we will design a new communication system to optimize locating, tracking, and communicating with trapped miners and provide AI-assisted self-escape when possible. Finally, we will create and deliver technologically driven hybrid training products to improve self-escape and mine rescue that incorporate the tools and strategies developed in this project. The ‘hybrid’ modules that serve as a bridge between traditional tabletop activities, hands-on training activities and full-scale synthetic learning environments. This effort will also be focusing on developing expertise in the area of mine health and safety by supporting eight Ph.D. and five M.S. students. The research to practice (r2p) plan for this research include dissemination of the project findings through publications, training, and workshops, collaboration with industry partner to technology development and enhancement, and technology implementation with collaboration of NIOSH-Mining and stakeholders. The intermediate outcomes of the proposed work include adoption of the developed technologies and strategies through collaboration with partner mining operations, and technology developer/licensor, new competency-based training products that incorporate project results, as well as publications and patents. The end-goal of the project is to introduce new autonomous solutions to improve self-escape and mine rescue.