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

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
批准号:
1646576
负责人:
Qi Han
金额:
$33.75万
依托单位:
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
项目状态:
已结题
起止时间:
2016-10-01 至 2022-09-30

项目摘要

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中文摘要
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英文摘要
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.
期刊论文(12)
专著(0)
科研奖励(0)
会议论文
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: --
作者: [Gerald Henderson;Qi Han]
通讯作者: Gerald Henderson;Qi Han
DOI: 10.1145/3360774.3368198
发表时间: 2019
期刊: Networking and Services
影响因子: --
作者: [Zhu, L., Wen, X., Han, Q., Fryer, A., Suttora, N., Petruska, A.]
通讯作者: Petruska, A.
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: --
作者: [Friedman, Samuel, Han, Qi]
通讯作者: Han, Qi
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: --
作者: [Diller, Jonathan, Hall, Peter, Schanker, Corey, Ung, Kristen, Belous, Philip, Russell, Peter, Han, Qi]
通讯作者: Han, Qi
11
    CPS: Small: Intelligent Prediction of Traffic Conditions via Integrated Data-Driven Crowdsourcing and Learning
    • 批准号:
      1932482
    • 项目类别:
      Standard Grant
    • 资助金额:
      $49.82万
    • 财政年份:
      2019
    • 负责人:
      Qi Han
    • 依托单位:
    II-EN: A Heterogeneous Networking Test Bed to Support Middleware Services for Pervasive Sensing
    • 批准号:
      0855060
    • 项目类别:
      Standard Grant
    • 资助金额:
      $19.36万
    • 财政年份:
      2009
    • 负责人:
      Qi Han
    • 依托单位:
    NeTS: Small: Algorithms and System Support for Monitoring of Amorphous Phenomena with Dynamic Signatures in Wireless Sensor Networks
    • 批准号:
      0915574
    • 项目类别:
      Standard Grant
    • 资助金额:
      $30.0万
    • 财政年份:
      2009
    • 负责人:
      Qi Han
    • 依托单位:
    Collaborative Research: CSR---CSI: A Virtual Sensor Network Based
    • 批准号:
      0720875
    • 项目类别:
      Standard Grant
    • 资助金额:
      $0.0万
    • 财政年份:
      2007
    • 负责人:
      Qi Han
    • 依托单位:
    海外基金