CSR: Large: Collaborative Research: CommonSense--A Distributed Mobile System for Socially-Collaborative Environmental Monitoring
CSR: Large: Collaborative Research: CommonSense--A Distributed Mobile System for Socially-Collaborative Environmental Monitoring
批准号:
0910816
负责人:
Robert Dick
金额:
$35.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2013-08-31
中文摘要
长期以来,污染监测和诊断与受污染影响最大的人是分开的。它是由拥有昂贵而稀缺设备的专家进行的。因此,测试并不频繁,关于缓解的决定是由中央规划者做出的,获得数据的机会有限。更糟糕的是,有能力通过行为的微小改变来极大地限制危险暴露的个人,却对自己的日常行为与污染暴露之间的关系视而不见。计算、传感和无线通信技术的进步使受污染影响最大的人能够参与到污染传感、合理的成本评估和缓解中。本项目致力于开发一个用于社会协作的分布式环境监测移动系统,该系统极大地缓解了环境传感数据稀缺的问题,支持更丰富的环境遥感数据分析,并通过社会协作实现更好的环境意识和保护。该项目将开发一个由廉价的传感和计算设备组成的系统,这些设备由个人购买,供自己启迪和保护。这些嵌入式系统将相互通信并聚合数据,从而实现多传感器定位污染源并量化每个污染者的潜在损害。通过测量污染并对其影响进行建模,将有可能将污染源与其造成的成本联系起来。此外,分布式联网将使个人能够在环境监测和保护方面积极参与和进行社会协作。
英文摘要
Pollution sensing and diagnosis have long been separated from the people most impacted by them. It was conducted by specialists with expensive and scarce equipment. As a result, testing was infrequent and decisions on mitigation were made by central planners with limited access to data. Worse yet, individuals with the ability to dramatically limit dangerous exposure via minor changes in behavior have been left blind to the relationship between their daily actions and exposure to pollution. Advances in computing, sensing, and wireless communication technologies have the potential to allow those most affected by pollution to participate in pollution sensing, rational cost assessment, and mitigation.This project focuses on developing a distributed mobile system for socially-collaborative environmental monitoring, which greatly reduces the problem of environmental sensing data scarcity, supports richer environmental sensing data analysis, and enables better environment awareness and protection via social collaboration. This project will develop a system composed of inexpensive sensing and computation devices purchased by individuals for their own edification and protection. These embedded systems will communicate with each other and aggregate data, enabling multi-sensor localization of pollutionsources and quantification of the potential damage by each polluter. By measuring pollution and modeling its impact, it will be possible to associate pollution sources with the costs they impose. Furthermore distributed networking will allow individuals to actively participate in and socially collaborate on environmental monitoring and protection.
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国内基金
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