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

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演示，但当转换到不受限制的室外环境时，问题就变得极其复杂。在这里，传感器面临着识别非常低的颗粒物数量的需要，通常是在存在高水平的无害污染物和快速变化的湍流气象条件下。该联盟将开发一种快速部署传感器的能力，以便在化学毒剂恶意或意外释放到室外(工业/城市)环境后有效地收集有关它们的数据。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。为了准确地了解这一点，目前有必要部署大量的化学传感器，这既耗时又昂贵，令人望而却步。我们将通过开发部署规划工具来缓解这一限制，这些工具可以对收集的数据做出反应，并指示动态重新部署有限的一组无线传感器节点，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的快速、可靠的现场分析的需求。该系统采用了一个由特别部署的传感器节点组成的小型网络，这些传感器节点能够监控不断变化的当地条件和化学数据含量并做出反应，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尚未解决的问题：1.通过传感器网络的智能组织优化数据收集。2.监测当地不断变化的环境条件，了解其对数据收集任务的影响。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.制定部署规划解决方案，以便在资产基础受限制或不受限制的情况下优化数据收集任务。

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.