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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/E002129/1
负责人：
Phil Blythe
金额：
$ 109.73万
依托单位：
Newcastle University
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%2FE002129%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 researchaimed at improving underlying vehicle and traffic management technologies and informing public policy action. Recent work hassought to use a variety of vehicle-based, person-based and infrastructure-based sensor systems to collect data on key aspects ofdriver and traffic behaviour, emissions, pollutant concentrations and exposure. The variety and pervasiveness of the sensor inputsavailable will increase significantly in the future as a result both of the increasingly widespread penetration of existingtechnologies (e.g., GPS based vehicle tracking, CANbus interfaces to on-board engine management system data) within thevehicle parc and the introduction of new technologies (such as e.g., UV sensing and nanotechnology based micro sensors). Aparticularly exciting direction for future development will be in the use of vehicles as platforms for outward facing environmentalsensor systems, allowing vehicles to operate as mobile environmental probes, providing radically improved capability for thedetection and monitoring of environmental pollutants and hazardous materials.However, these developments present new and formidable research challenges arising from the need to transmit,integrate, model and interpret vast quantities of highly diverse (spatially and temporally varying) sensor data. Our approach in thisproject is to address these challenges by novel combination and extension of state-of-the-art eScience, sensor, positioning andmodelling (data fusion, traffic, transport, emissions, dispersion) technologies. By so doing, we aim to develop the capability tomeasure, model and predict a wide range of environmental pollutants and hazards (both transport related and otherwise) using agrid of pervasive roadside and vehicle-mounted sensors. This work will be at the leading edge of eScience, stretching thecapabilities of the grid in a number of aspects of the processing of massive volumes of sensor data.

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。最近的工作应该使用各种基于车辆，基于人和基于基础设施的传感器系统来收集驾驶员和交通行为，排放，污染物浓度和暴露的关键方面的数据。由于现有技术（例如，基于GPS的车辆跟踪、与车载发动机管理系统数据的CAN总线接口）以及新技术的引入（例如，UV传感和基于纳米技术的微传感器）。未来发展的一个特别令人兴奋的方向将是使用车辆作为面向外的环境传感器系统的平台，使车辆能够作为移动的环境探测器工作，为环境污染物和危险物质的检测和监测提供根本性的改进能力。建模和解释大量高度多样化（空间和时间变化）的传感器数据。我们在这个项目中的方法是通过最先进的电子科学，传感器，定位和建模（数据融合，交通，运输，排放，分散）技术的新颖组合和扩展来应对这些挑战。通过这样做，我们的目标是开发测量，建模和预测广泛的环境污染物和危害（包括运输相关的和其他）使用无处不在的路边和车载传感器的能力。这项工作将处于eScience的前沿，在处理大量传感器数据的多个方面扩展网格的能力。