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Development of a Highly Localised, Real Time Pollution Monitoring Service for Urban and Sub-Urban Environments

Development of a Highly Localised, Real Time Pollution Monitoring Service for Urban and Sub-Urban Environments
为城市和郊区环境开发高度本地化的实时污染监测服务
批准号:
133455
负责人:
金额:
$8.87万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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中文摘要
翻译
Synaptiv AI是一家数据分析平台提供商,专注于从互联汽车数据中产生价值。这一丰富的数据集由嵌入当前一代和下一代车辆的传感器阵列提供。通过应用先进的数据科学技术,Synaptiv将汽车数据转化为独特且可操作的见解,帮助客户降低成本,更好地了解客户,并向市场推出全新的服务。空气质量的管理和改善对世界各国政府至关重要。根据世界卫生组织的数据,空气污染每年导致多达370万人死亡。此外,对与污染水平相关的高质量实时数据的商业需求也在不断增长。它与旅行、健康、健康和智能基础设施等多种应用的相关性使得这些数据非常有价值。目前的污染监测技术成本高昂,需要大量的运营和维护成本。它们的数量有限还意味着,生成的数据往往不准确,而且高度分散。该项目将评估用于城市和郊区环境的高度本地化的实时污染监测技术的技术可行性。这将通过利用嵌入在今天道路上行驶的车辆中的空气质量传感器(AQS)来实现。数据将通过远程信息处理加密狗收集,安装在车辆内,并通过网络传输到云平台进行处理和展示。获得本地化、准确的空气质量数据将对环境管理和规划过程产生重大影响,并支持空气污染领域的研发、政策制定和公众意识。
英文摘要
"Synaptiv AI is a data analytics platform provider, focused on generating value from connected car data. This rich dataset is supplied by the array of sensors embedded within current-generation and next-generation vehicles. Through the application of advanced data science techniques, Synaptiv transforms car data into unique and actionable insights, helping clients reduce costs; develop a better understanding of their customers; and launch entirely new services into the marketplace. The management and improvement of air quality is of paramount importance to governments across the World. According to the World Health Organisation, air pollution contributes towards up to 3.7 million deaths per annum. Furthermore, there is a growing commercial demand for high quality, real time data linked to pollution levels. Its relevance towards multiple applications including travel, health, wellness and smart infrastructure makes this data extremely valuable.Current pollution monitoring technologies are expensive, requiring significant operation and maintenance costs. Their limited number also means that the data generated is often inaccurate and highly fragmented. This project will assess the technical feasibility of a highly localised, real time pollution monitoring technology for urban and suburban environments. This will be achieved by leveraging the Air Quality Sensor (AQS) embedded within the vehicles that are travelling on the road today. Data will be collected via a telematics dongle, installed within the a vehicle, and streamed over a network to a cloud platform for processing and presentation.The availability of localised, accurate air quality data will deliver a significant impact upon environmental management and planning processes, as well as supporting R&D, policy making and public awareness in the field of air pollution."
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