CPS: Synergy: Collaborative Research: Enabling Smart Underground Mining with an Integrated Context-Aware Wireless Cyber-Physical Framework

CPS：协同：协作研究：通过集成的上下文感知无线网络物理框架实现智能地下采矿

基本信息

批准号：
1646576
负责人：
Qi Han
金额：
$ 33.75万
依托单位：
Colorado School of Mines
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-10-01 至 2022-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1646576&HistoricalAwards=false
关键词：
CPS Synergy Collaborative Research Enabling

项目摘要

To reduce reliance on other countries for minerals (e.g., coal, rare-earth metals), the USA has seen an invigoration of mining activity in recent years. Unfortunately, miners often have to work in dangerous environments where there is risk of mine explosions, fires, poisonous gases, and flooding in tunnels. Mine accidents have killed over 500 US and 40,000 mine workers worldwide in the past decade. Most of these accidents occurred in structurally diverse underground mines with extensive labyrinths of interconnected tunnels, where the environment continually changes as mining progresses and machinery is repositioned, complicating search and rescue efforts. In recognition of the severity of the problem, the Mine Improvement and New Emergency Response Act passed in 2006 mandated mines to monitor levels of methane, carbon monoxide, smoke, and oxygen to warn miners of possible danger due to air poisoning, fire, or explosions. The Act also mandated plans to rapidly and safely respond in post-accident scenarios, involving two-way, wired or semi-wired tracking and communication systems that could save lives during entrapment and water inundation emergencies. But the high cost of deploying such a safety infrastructure encourages companies today to meet only the bare minimum required safeguards. This project will involve transformative, foundational, and synergistic research that is necessary to overcome monitoring, communication, and tracking challenges in the underground mining context, to realize a cost-effective safety infrastructure that can be deployed in any type of underground mine. Such a framework will not only minimize the risks facing hundreds of thousands of miners in the USA today, but the foundational research outcomes will also be applicable to a wide range of applications in the realms of Smart and Connected Communities (S&CC) and Internet of Things (IoT), wherever the emphasis is on creating smart workplaces, sustainably operating in harsh environments, and improving human safety.The principal objective of this proposal is to devise, design, prototype, and test a fundamentally novel wireless cyber-physical framework of low-cost, energy-efficient, and reliable sensor nodes and commodity smartphones for monitoring, tracking, and communication, to improve miner safety in underground mines. This synergy project contributes to the science and engineering principles needed to realize Cyber-Physical Systems and seeks to grow at the intersection of three research thrusts: quality-aware voice and data streaming, mobile computing assisted location tracking, and computational electromagnetics driven wireless signal characterization. These three thrusts (1) introduce novel mechanisms to enable the co-existence of high quality voice streams with environmental sensor data streams in low-power wireless mesh networks of sensor nodes operating in noisy underground environments; (2) develop schemes for energy-efficient scheduling of location queries and error-tolerant indoor localization to locate individual miners and groups of miners underground; and (3) characterize wireless signal behavior with electromagnetic modeling in highly complex and uncertain environments, based on measurements from a real underground mine, to guide optimal placement of wireless nodes in mining tunnels. Not only is the convergence of these thrusts novel as a whole, but also the techniques and insights developed for each thrust are transformative and go beyond conventional approaches. Collaboration with a mining company for technology transfer will enable rapid real-world deployment of the proposed research. The broader impacts of the research will tightly integrate research results into all levels of teaching, including graduate, undergraduate, and K-12 education; broaden the participation of women and minority students in Cyber-Physical research; and integrate research into the syllabi of existing and new courses.

为了减少对其他国家（例如煤炭，稀土金属）的依赖，近年来，美国已经看到了采矿活动的启动。不幸的是，矿工通常必须在危险的环境中工作，那里有我的爆炸，火灾，有毒气体和隧道洪水的风险。在过去的十年中，矿山事故已杀死了全球500多名美国和40,000名矿工。这些事故中的大多数发生在结构上多样化的地下矿山中，其中包括广泛的相互连接的隧道迷宫，随着采矿的进展，环境不断变化，并重新定位了机械，从而使搜索和救援工作变得复杂。为了认识到问题的严重性，《矿山改进和新的紧急响应法》于2006年通过了矿山，以监视甲烷，一氧化碳，烟雾和氧气的水平，以警告矿工由于空气中毒，火灾或爆炸而导致的危险。该法案还规定了计划在事故后场景中快速安全地做出响应，涉及双向，有线或半连接的跟踪和通信系统，这些系统可以在陷入困境和淹没水中的紧急情况下挽救生命。但是，部署这样的安全基础设施的高昂成本鼓励当今公司仅满足最低要求的保障措施。该项目将涉及在地下采矿环境中克服监视，沟通和跟踪挑战所必需的变革性，基础和协同研究，以实现可在任何类型的地下矿山中部署的具有成本效益的安全基础设施。这样的框架不仅可以最大程度地减少当今美国成千上万的矿工面临的风险，而且基础研究成果也将适用于智能和互联社区（S＆cc）和事物互联网（S＆CC）和事物互联网（IOT）领域中广泛的应用，无论在任何地方都可以在任何地方创建智能工作，并在智能工作中进行智能工作，并在智能工作方面进行行动，并在智慧的工作中进行了行动，并且在行动方面的行动，行动的行为，行为的行为，行为的行为，行为的行为。原型，并测试了一种基本新颖的无线网络物理框架，该框架是低成本，节能和可靠的传感器节点和商品智能手机，用于监视，跟踪和通信，以提高地下矿山的矿工安全。该协同项目有助于实现网络物理系统所需的科学和工程原则，并试图在三个研究推力的交集中成长：质量吸引人的语音和数据流，移动计算辅助位置跟踪以及计算电气电磁驱动的无线信号表征。这三个推力（1）引入了新型机制，以使高质量的语音流与环境传感器数据流在低功耗无线网状网络中的传感器节点的传感器节点网络共存；（2）开发用于位置查询和容忍室内室内定位的节能计划的方案，以定位地下矿工和矿工群体；（3）基于实际地下矿山的测量值，在高度复杂和不确定的环境中使用电磁建模来表征无线信号行为，以指导无线节点在采矿隧道中的最佳位置。这些推力的收敛不仅是整体上新颖的，而且为每种推力开发的技术和见解都是变革性的，并且超出了传统方法。与一家采矿公司合作进行技术转让将使拟议研究的实际部署能够快速地部署。研究的更广泛的影响将将研究结果紧密地整合到包括研究生，本科和K-12教育在内的所有级别的教学水平；扩大妇女和少数族裔学生参与网络物理研究；并将研究整合到现有课程和新课程的课程上。

项目成果

期刊论文数量（12）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Distributed Learning Automata Based Data Dissemination in Networked Robotic Systems

DOI：
10.1007/978-3-030-28468-8_10
发表时间：
2019-06
期刊：
2023 31st Mediterranean Conference on Control and Automation (MED)
影响因子：
0
作者：
Gerald Henderson;Qi Han
通讯作者：
Gerald Henderson;Qi Han

Request and Share then Assign (RASTA): Task Assignment for Networked Multi-Robot Teams

请求并共享然后分配（RASTA）：网络多机器人团队的任务分配

DOI：
10.1109/mass50613.2020.00058
发表时间：
2020
期刊：
IEEE International Conference on Mobile Ad-hoc Sensor Systems (MASS
影响因子：
0
作者：
Friedman, Samuel;Han, Qi
通讯作者：
Han, Qi

Quality-Aware Voice Convergecast in Mobile Low Power Wireless Networks

DOI：
10.1007/978-3-030-28468-8_16
发表时间：
2019-06
期刊：
影响因子：
0
作者：
Mike Adkins;Qi Han;S. Pasricha
通讯作者：
Mike Adkins;Qi Han;S. Pasricha

ICCSwarm: A Framework for Integrated Communication and Control in UAV Swarms

ICCSwarm：无人机群集成通信和控制框架

DOI：
10.1145/3539493.3539579
发表时间：
2022
期刊：
and Applications
影响因子：
0
作者：
Diller, Jonathan;Hall, Peter;Schanker, Corey;Ung, Kristen;Belous, Philip;Russell, Peter;Han, Qi
通讯作者：
Han, Qi

Data Ingestion and Inspection for Smart City Applications