Autonomous Electromechanical Gas Detection Microsystem for Mine Safety
Autonomous Electromechanical Gas Detection Microsystem for Mine Safety
批准号:
8300687
负责人:
ANDREW J MASON
金额:
$47.27万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2014-08-31
中文摘要
项目摘要
煤矿安全自主式电化学瓦斯检测微系统
A.Mason(密歇根州立大学)和X.Zeng(奥克兰)
尽管安全状况不断改善,法规也不断加强,但地下矿山仍然是一种非常
危险的工作环境,从最近在Sago(2006)、Darby(2006)和Crandall发生的灾难中可见一斑
Canyon(2007)矿山。根据矿山安全技术和培训委员会的建议,新的成本-
需要有效的技术来加强地雷内的监测。我们建议开发钥匙传感器,
仪器仪表和数据分析技术将整合在一起,形成小型化的智能
为矿山安全需求和挑战量身定做的电化学气体分析系统
申请。不同技术领域的重大创新将在以下方面协同结合
具体目标:1)开发和表征一种用于检测和检测的微型电化学传感器阵列
多个矿井瓦斯的定量,2)设计和优化紧凑型电化学仪器
用于自主操作的电子学和智能算法,3)集成和表征模型的多个
用于煤矿安全监测和危险状况预测的气体电化学微系统。通过一个
创新的电化学传感器阵列方法、室温离子液体和导电聚合物
将开发用于检测多种矿井气体的膜。一款创新的仪器芯片将
实施多种电化学测量技术,以实现非常紧凑、低功耗
IEGAS系统的微系统实现。新型高效传感器阵列数据分析算法
将能够在混合气体环境中准确测量特定气体的浓度,并且
提供模式识别,以生成对矿山安全决策至关重要的信息。建议数
与现有的气体传感器相比,微系统具有显著的优势。它将测量所有与火灾有关的气体
和爆炸(CH4、CO、CO2、O2)以及有害废气(NO、NO2、SO2)。它将智能地
分析传感器数据以预测危险条件、报告警报并帮助制定逃生路线。这个
自主iEGAS系统可以与矿工一起部署,也可以长期部署在矿井内的固定位置
无需用户输入或培训即可进行监控。它将是廉价、超紧凑和轻便的,易于携带
矿工和救援队。它将利用标准接口与现有的矿山基础设施或
配合无线矿用通信手机,实现高度分布式、移动性、多瓦斯监测
网络。坚固的传感器平台天生就能抵抗振动、烟雾、潮湿和其他常见的
地雷干扰,传感器将针对不同的环境条件(温度,
湿度)。将实施拟议的iegas系统的操作模型,并在
可以精确控制气体浓度和环境参数的实验室,以模拟
地下矿山内的各种条件。多学科调查小组将与我的团队进行磋商
整个项目的安全专家确保开发的技术满足采矿行业的需求。
英文摘要
Project Summary
Autonomous Electrochemical Gas Detection Microsystem for Mine Safety
A. Mason (Michigan State) and X. Zeng (Oakland)
Despite continued safety improvements and increased regulations, underground mines remain a very
dangerous work environment, as evident from recent disasters at the Sago (2006), Darby (2006), and Crandall
Canyon (2007) mines. As recommended by the Mine Safety Technology and Training Commission, new, cost-
effective technologies are needed to enhance monitoring within mines. We propose to develop key sensor,
instrumentation and data analysis technologies that will be integrated to form a miniaturized intelligent
electrochemical gas analysis system (iEGAS) tailored to the needs and challenges of mine safety
applications. Major innovations in diverse technical areas will be synergistically combined within the following
specific aims: 1) Develop and characterize a miniaturized electrochemical sensor array for detection and
quantification of multiple mine gases, 2) Design and optimize compact electrochemical instrumentation
electronics and intelligent algorithms for autonomous operation, 3) Integrate and characterize a model multi-
gas electrochemical microsystem for mine safety monitoring and hazardous condition prediction. Through an
innovative electrochemical sensor array approach, room-temperature ionic liquids and conductive polymer
membranes will be developed for detection of multiple mine gases. An innovative instrumentation chip will
implement multiple electrochemical measurement techniques to enable a very compact, low power
microsystem implementation of the iEGAS system. New, highly efficient sensor array data analysis algorithms
will enable concentrations of specific gases to be accurately measured within a mixed-gas environment and
provide pattern recognition to generate information critical to mine safety decision making. The proposed
microsystem offers significant advantages over existing gas sensors. It will measure all gases linked to fires
and explosions (CH4, CO, CO2, O2) as well as hazardous exhaust gases (NO, NO2, SO2). It will intelligently
analyze sensor data to predict hazardous conditions, report alerts and aid escape route planning. The
autonomous iEGAS system can be deployed with miners or at fixed locations within a mine for long-term
monitoring without user input or training. It will be inexpensive, ultra compact and lightweight, easily carried by
miners and rescue teams. It will utilize a standard interface to communicate with existing mine infrastructure or
with wireless mine communication handsets to realize a highly distributed, mobile, multi-gas monitoring
network. The robust sensor platform is inherently resistant to vibration, smoke, moisture, and other common
mine interferents, and sensors will be internally calibrated for variable environmental conditions (temperature,
humidity). An operational model of the proposed iEGAS system will be implemented and characterized in a
laboratory where gas concentrations and environmental parameters can be accurately controlled to mimic the
range of conditions within underground mines. The multidisciplinary team of investigators will consult with mine
safety experts throughout the project to ensure the developed technologies meet mining industry needs.
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会议论文
Wearable Microsystem Array for Acute Pollutant Exposure Assessment
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批准号:8637239
-
项目类别:
-
资助金额:$37.79万
-
财政年份:2013
-
负责人:ANDREW J MASON
-
依托单位:
Autonomous Electromechanical Gas Detection Microsystem for Mine Safety
-
批准号:8138348
-
项目类别:
-
资助金额:$43.3万
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财政年份:2010
-
负责人:ANDREW J MASON
-
依托单位:
Autonomous Electromechanical Gas Detection Microsystem for Mine Safety
-
批准号:7987170
-
项目类别:
-
资助金额:$49.8万
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财政年份:2010
-
负责人:ANDREW J MASON
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依托单位:
海外基金