Collaborative Research: CSR---CSI: A Virtual Sensor Network Based

合作研究：CSR---CSI：基于虚拟传感器网络

• 批准号: 0720875
• 负责人: Qi Han
• 金额: --
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0720875&HistoricalAwards=false
• 关键词: Collaborative; Research; CSR; CSI; Virtual

Release of chemicals or biological agents in the subsurface often results in plumes migrating in the medium, posing risk to human and ecological environments. Temporal and spatial monitoring of the plume concentrations are needed to assess risk, make decisions and take remedial action. Current underground contaminant plume monitoring technologies are inefficient, expensive and ineffective. Wireless sensor technologies have the potential to dramatically improve this process. A closed-loop system integrating wireless sensor network based monitoring with numerical models for plume tracking is being developed, in which sensor data continuously calibrates and validates the system identification and prediction models, while the output from these models direct the sensor network operation to optimize constraints such as accuracy and power consumption. The system is based on a novel virtual sensor network architecture with broader applicability beyond plume tracking. Algorithms and protocols being developed support the formation, usage, adaptation and maintenance of dynamic subsets of collaborating sensors, named Virtual Sensor Networks (VSNs). VSN protocols for collaboration among groups of sensors will greatly ease the task of deploying sensor networks, especially in environments where multiple geographically overlapping applications are deployed. A proof-of-concept laboratory test bed that captures the complex subsurface processes is used for integration and evaluation of VSN protocols. This interdisciplinary project will significantly advance the state-of-the art in subsurface plume tracking and sensor networking technologies. It will stimulate a unique partnership of electrical engineers, computer scientists and environmental researchers, and demonstrate closed-loop operation of computer models and sensor networks to solve complex environmental problems.

化学品或生物制剂在地下的释放往往导致羽流在介质中迁移，对人类和生态环境构成风险。需要对羽流浓度进行时间和空间监测，以评估风险、作出决定和采取补救行动。目前的地下污染物羽流监测技术效率低、成本高且效果不佳。无线传感器技术有可能大大改善这一过程。正在开发一种集成基于无线传感器网络的监测与用于羽流跟踪的数值模型的闭环系统，其中传感器数据不断校准和验证系统识别和预测模型，而来自这些模型的输出指导传感器网络操作以优化诸如精度和功耗的约束。 该系统是基于一种新的虚拟传感器网络架构，具有更广泛的适用性以外的羽流跟踪。正在开发的算法和协议支持协作传感器的动态子集的形成、使用、适应和维护，称为虚拟传感器网络（VSNs）。 用于传感器组之间协作的VSN协议将大大简化部署传感器网络的任务，特别是在部署多个地理重叠应用程序的环境中。 一个概念验证实验室测试床，捕捉复杂的地下过程是用于集成和评估的VSN协议。 这一跨学科项目将大大推进地下羽流跟踪和传感器网络技术的最新发展。它将激发电气工程师，计算机科学家和环境研究人员的独特伙伴关系，并展示计算机模型和传感器网络的闭环操作，以解决复杂的环境问题。