DYnamic deployment planning for monitoring of ChEmical leaks using an ad-hoc deployable sensor network (DYCE)

使用临时可部署传感器网络 (DYCE) 监测化学泄漏的动态部署规划

• 批准号: TS/G002568/1
• 负责人: Alan Robins
• 金额: $ 8.73万
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2009
• 资助国家: 英国
• 起止时间: 2009 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=TS%2FG002568%2F1
• 关键词: DYnamic; deployment; planning; monitoring; ChEmical

The ability to analyse the chemical composition or quality of air samples in a controlled environment is easily demonstrated, but the problem becomes extremely complex when translated to an unconstrained outdoor environment. Here the sensors are faced with the need to identify very low particle counts, often in the presence of high levels of benign pollutants and rapidly changing turbulent meteorological conditions. The consortium will develop a capability for the rapid deployment of sensors to effectively gather data on chemical agents following their malicious or accidental release into an outdoor (industrial/urban) environment. The validity of chemical composition measurements is reliant upon the ability to gather air samples that are representative of the whole environment. To build an accurate picture of this it is currently necessary to deploy large quantities of chemical sensors, which is prohibitively time consuming and expensive. We will mitigate this limitation through the development of deployment planning tools that react to gathered data and instruct the dynamic redeployment of a limited set of wireless sensor nodes, thereby optimising their data gathering capability. The solution proposed in this project addresses the needs of military and blue light responders for rapid, reliable on-scene analysis of contaminant dispersion in an urban or industrial environment. The system employs a small network of ad-hoc deployable sensor nodes that are able to monitor and react to changing local conditions and chemical data content to enable end-users to dynamically optimise their locations. The solution is novel in that it addresses the combined yet unsolved issues of: 1. Optimised data gathering through intelligent organisation of the sensor network. 2. Monitoring localised changing environmental conditions and understanding its repercussions on the data-gathering mission. 3. To operate effectively in EM cluttered and complex urban and industrial environments by incorporating wireless communications needs into the deployment strategy. 4. To develop a deployment planning solution to optimise the data gathering mission given a constrained or unconstrained asset base.

在受控环境中分析空气样品的化学成分或质量的能力很容易证明，但当转换到不受约束的室外环境时，问题变得极其复杂。在这里，传感器需要识别非常低的颗粒计数，通常是在存在高水平的良性污染物和快速变化的湍流气象条件下。该联合体将开发快速部署传感器的能力，以便在化学剂恶意或意外释放到室外（工业/城市）环境中后有效收集有关化学剂的数据。化学成分测量的有效性取决于收集代表整个环境的空气样本的能力。为了建立一个准确的图片，目前有必要部署大量的化学传感器，这是非常耗时和昂贵的。我们将通过开发部署规划工具来缓解这种限制，这些工具对收集的数据做出反应，并指示有限的无线传感器节点的动态重新部署，从而优化其数据收集能力。该项目中提出的解决方案满足了军事和蓝光响应人员对城市或工业环境中污染物扩散进行快速、可靠的现场分析的需求。该系统采用了一个小型网络的ad-hoc部署传感器节点，能够监测和反应不断变化的当地条件和化学数据内容，使最终用户能够动态优化他们的位置。该解决方案是新颖的，因为它解决了以下组合但未解决的问题：1。通过传感器网络的智能组织优化数据收集。2.监测局部变化的环境条件，并了解其对数据收集使命的影响。3.通过将无线通信需求纳入部署策略，在EM杂乱和复杂的城市和工业环境中有效运营。4.开发部署规划解决方案，以优化给定受限或不受限资产基础的数据收集使命。

项目成果

An Inverse Method for Determining Source Characteristics for Emergency Response Applications

确定应急响应应用源特性的逆向方法

• DOI: 10.1007/s10546-012-9712-y
• 发表时间: 2012
• 期刊: Boundary-Layer Meteorology
• 影响因子: 4.3
• 作者: Rudd A

A rapidly deployable chemical sensing network for the real-time monitoring of toxic airborne contaminant releases in urban environments

快速部署的化学传感网络，用于实时监测城市环境中有毒空气污染物的释放

• DOI: 10.1117/12.849643
• 发表时间: 2010
• 作者: Lepley J

An inverse modelling technique for emergency response application

应急响应应用的逆向建模技术

• 发表时间: 2010
• 作者: Alison Rudd

Development of a Chemical ID System Compatible within the Hydra Distributed, Multimodal, Networked Surveillance System

开发与 Hydra 分布式、多模式、网络监控系统兼容的化学识别系统

• 发表时间: 2009
• 作者: Ashley Wilks