CSR: Large: Collaborative Research: CommonSense--A Distributed Mobile System for Socially-Collaborative Environmental Monitoring

CSR：大型：协作研究：CommonSense——用于社会协作环境监测的分布式移动系统

• 批准号: 0910816
• 负责人: Robert Dick
• 金额: $ 35万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0910816&HistoricalAwards=false
• 关键词: CSR; Large; Collaborative; Research; CommonSense

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.

长期以来，污染传感和诊断一直与受其影响最大的人分离。它是由专家用昂贵和稀缺的设备进行的。因此，测试不经常进行，有关减灾的决定是由中央规划人员在获得数据有限的情况下作出的。更糟糕的是，那些有能力通过行为上的微小改变来大幅限制危险暴露的人却忽视了他们的日常行为与污染暴露之间的关系。计算、传感和无线通信技术的进步有可能让受污染影响最严重的人参与污染感知、合理的成本评估和缓解。本项目致力于开发一种用于社会协同环境监测的分布式移动的系统，大大减少环境传感数据稀缺的问题，支持更丰富的环境传感数据分析，并通过社会协作实现更好的环境意识和保护。本项目将开发一个由个人购买的廉价传感和计算设备组成的系统，用于自己的教育和保护。这些嵌入式系统将相互通信并汇总数据，从而实现污染源的多传感器定位，并量化每个污染者的潜在损害。通过测量污染并模拟其影响，将有可能将污染源与它们造成的成本联系起来。此外，分布式网络将使个人能够积极参与环境监测和保护，并进行社会合作。