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Pervasive Mobile Environmental Sensor Grids

无处不在的移动环境传感器网格

基本信息

批准号：
EP/E002102/1
负责人：
John Polak
金额：
$ 185.74万
依托单位：
Imperial College London
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2006
资助国家：
英国
起止时间：
2006 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FE002102%2F1
关键词：
Pervasive Mobile Environmental Sensor Grids

项目摘要

The impact of road traffic on local air quality is a major public policy concern and has stimulated a substantial body of research aimed at improving underlying vehicle and traffic management technologies and informing public policy action. Recent work has begun to exploit the capability of a variety of vehicle-based, person-based and infrastructure-based sensor systems to collect real time data on important aspects of driver and traffic behaviour, vehicle emissions, pollutant dispersion, concentration and human exposure. The variety, pervasiveness and scale of these sensor data will increase significantly in the future as a result of technological developments that will enable sensors to become cheaper, smaller and lower in power consumption. This will open up enormous opportunities to improve our understanding of urban air pollution and hence improve urban air quality. However, handing the vast quantities of real time data that will be generated by these sensors will be a formidable task and will require the application of advanced forms computing, communication and positioning technologies and the development of ways of combining and interpreting many different forms of data. Technologies developed in EPSRC's e-Science research programme offer many of the tools necessary to meet these challenges. The aim of the PMESG project is to take these tools and by extending them where necessary in appropriate ways develop and demonstrate practical applications of e-Science technologies to enable researchers and practitioners to coherently combine data from disparate environmental sensors and to develop models that could lead to improved urban air quality. The PMESG project is led by Imperial College London, and comprises a consortium of partners drawn from the Universities of Cambridge, Southampton, Newcastle and Leeds who will work closely with one another and with a number of major industrial partners and local authorities. Real applications will be carried out in London, Cambridge, Gateshead and Leicester which will build on the Universities' existing collaborative arrangements with the relevant local authorities in each site and will draw on substantial existing data resources, sensor networks and ongoing EPSRC and industrially funded research activities. These applications will address important problems that to date have been difficult or impossible for scientists and engineers working is this area of approach, due to a lack or relevant data. These problems are of three main types; (i) measuring human exposure to pollutants, (ii) the validation of various detailed models of traffic behaviour and pollutant emission and dispersion and (iii) the development of transport network management and control strategies that take account not just of traffic but also air quality impacts. The various case studies will look at different aspects of these questions and use a variety of different types of sensor systems to do so. In particular, the existing sensor networks in each city will be enhanced by the selective deployment of a number of new sensor types (both roadside and on-vehicle/person) to increase the diversity of sensor inputs. The e-Science technologies will be highly general in nature meaning that will have applications not only in transport and air quality management but also in many other fields that generate large volume of real time location-specific sensor data.Each institution participating in this project will be submitting their resource summary individually to Je-s. The resources listed within this Je-S Proposal are solely those of Imperial College with other institutions submitting their costs seperately, with one case for support.

道路交通对当地空气质量的影响是一个主要的公共政策问题，并激发了大量的研究，旨在改善基本的车辆和交通管理技术，并为公共政策行动提供信息。最近的工作已经开始利用各种基于车辆、基于人和基于基础设施的传感器系统的能力，以收集关于驾驶员和交通行为、车辆排放、污染物扩散、浓度和人体暴露等重要方面的真实的时间数据。这些传感器数据的多样性、普遍性和规模在未来将显著增加，因为技术发展将使传感器变得更便宜、更小和功耗更低。这将为提高我们对城市空气污染的认识提供巨大的机会，从而改善城市空气质量。然而，处理这些传感器产生的大量真实的时间数据将是一项艰巨的任务，需要应用先进的计算、通信和定位技术，并开发组合和解释许多不同形式数据的方法。EPSRC的电子科学研究方案中开发的技术提供了应对这些挑战所需的许多工具。PMESG项目的目的是利用这些工具，并在必要时以适当的方式扩展它们，开发和展示电子科学技术的实际应用，使研究人员和从业人员能够连贯地结合来自不同环境传感器的联合收割机数据，并开发可能导致改善城市空气质量的模型。PMESG项目由伦敦帝国理工学院领导，由来自剑桥、南安普顿、纽卡斯尔和利兹大学的合作伙伴组成，他们将相互密切合作，并与一些主要的工业合作伙伴和地方当局密切合作。真实的应用将在伦敦、剑桥、盖茨黑德和莱斯特进行，这些应用将建立在大学与每个地点的有关地方当局的现有合作安排的基础上，并将利用大量现有的数据资源、传感器网络和正在进行的EPSRC和工业资助的研究活动。这些应用程序将解决重要的问题，迄今为止一直是困难的或不可能的科学家和工程师的工作是这一领域的方法，由于缺乏或相关的数据。这些问题主要有三种类型：（一）测量人类接触污染物的程度;（二）验证各种详细的交通行为和污染物排放和扩散模型;（三）制定不仅考虑到交通而且考虑到空气质量影响的运输网络管理和控制战略。各种案例研究将着眼于这些问题的不同方面，并使用各种不同类型的传感器系统来实现。特别是，每个城市现有的传感器网络将通过选择性地部署一些新的传感器类型（路边和车载/人）来增强，以增加传感器输入的多样性。e-Science技术将具有高度的通用性，这意味着它不仅将应用于交通和空气质量管理，还将应用于许多其他领域，这些领域将产生大量的真实的时间位置特定的传感器数据。参与该项目的每个机构将单独向Je-s提交其资源摘要。本Je-S提案中列出的资源仅为帝国理工学院的资源，其他机构单独提交其成本，只有一个支持案例。