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System-on-a-Chip (SOC) based environmental monitoring platform for the detection of hazardous materials.

机译：基于片上系统（SOC）的环境监测平台，用于检测有害物质。

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摘要

The purpose of this research is design considerations for environmental monitoring platforms for the detection of hazardous materials using System-on-a-Chip (SoC) design. Design considerations focus on improving key areas such as: (1) sampling methodology; (2) context awareness; and (3) sensor placement. These design considerations for environmental monitoring platforms using wireless sensor networks (WSN) is applied to the detection of methylmercury (MeHg) and environmental parameters affecting its formation (methylation) and deformation (demethylation).;The sampling methodology investigates a proof-of-concept for the monitoring of MeHg using three primary components: (1) chemical derivatization; (2) preconcentration using the purge-and-trap (P&T) method; and (3) sensing using Quartz Crystal Microbalance (QCM) sensors. This study focuses on the measurement of inorganic mercury (Hg) (e.g., Hg2+) and applies lessons learned to organic Hg (e.g., MeHg) detection.;Context awareness of a WSN and sampling strategies is enhanced by using spatial analysis techniques, namely geostatistical analysis (i.e., classical variography and ordinary point kriging), to help predict the phenomena of interest in unmonitored locations (i.e., locations without sensors). This aids in making more informed decisions on control of the WSN (e.g., communications strategy, power management, resource allocation, sampling rate and strategy, etc.). This methodology improves the precision of controllability by adding potentially significant information of unmonitored locations.;There are two types of sensors that are investigated in this study for near-optimal placement in a WSN: (1) environmental (e.g., humidity, moisture, temperature, etc.) and (2) visual (e.g., camera) sensors. The near-optimal placement of environmental sensors is found utilizing a strategy which minimizes the variance of spatial analysis based on randomly chosen points representing the sensor locations. Spatial analysis is employed using geostatistical analysis and optimization occurs with Monte Carlo analysis. Visual sensor placement is accomplished for omnidirectional cameras operating in a WSN using an optimal placement metric (OPM) which is calculated for each grid point based on line-of-site (LOS) in a defined number of directions where known obstacles are taken into consideration. Optimal areas of camera placement are determined based on areas generating the largest OPMs. Statistical analysis is examined by using Monte Carlo analysis with varying number of obstacles and cameras in a defined space.
机译：这项研究的目的是使用片上系统（SoC）设计检测有害物质的环境监控平台的设计注意事项。设计方面的考虑集中在改善关键领域，例如：（1）抽样方法； （2）情境意识； （3）传感器放置。这些使用无线传感器网络（WSN）的环境监测平台的设计考虑因素被用于检测甲基汞（MeHg）和影响其形成（甲基化）和变形（脱甲基化）的环境参数。采样方法研究了概念验证。使用三个主要成分监测甲基汞：（1）化学衍生化； （2）使用吹扫捕集（P＆T）方法进行预浓缩； （3）使用石英晶体微天平（QCM）传感器进行传感。这项研究的重点是无机汞（Hg2 +）的测量，并将所学到的经验教训应用到有机汞（MeHg）的检测中。通过使用空间分析技术（即地统计）来增强WSN的上下文意识和采样策略分析（即经典变异函数和普通点克里金法），以帮助预测未监控位置（即没有传感器的位置）中的关注现象。这有助于对WSN的控制做出更明智的决策（例如，通信策略，电源管理，资源分配，采样率和策略等）。这种方法通过添加可能不受监视的位置的重要信息来提高可控性的精度。；本研究针对WSN中的近乎最优的放置研究了两种类型的传感器：（1）环境（例如，湿度，湿度，温度）等等）和（2）视觉（例如相机）传感器。利用一种策略可以发现环境传感器的最佳位置，该策略可根据代表传感器位置的随机选择点来最小化空间分析的方差。使用地统计分析进行空间分析，并通过蒙特卡洛分析进行优化。对于WSN中运行的全向摄像机，使用最佳放置量度（OPM）可以实现视觉传感器放置，该最佳放置量度是根据考虑了已知障碍物的定义方向上的站点线（LOS）为每个网格点计算的， 。相机放置的最佳区域是根据产生最大OPM的区域确定的。通过在定义的空间中使用数量不等的障碍物和摄像头的蒙特卡洛分析来检查统计分析。

著录项

  • 作者

    Castello, Charles C.;

  • 作者单位

    Florida International University.;

  • 授予单位 Florida International University.;
  • 学科 Engineering Computer.;Engineering Electronics and Electrical.;Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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