Development of a platform for real-time air quality monitoring and mapping****

开发实时空气质量监测和绘图平台****

• 批准号: 534232-2018
• 负责人: Hatzopoulou, Marianne
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=653220
• 关键词: Development; platform; real; time; air

The recent development of air pollution sensors has opened up new ways of collecting air pollution data in urban areas. Air pollution sensors are less costly than traditional analyzers, making it possible to achieve dense data collection campaigns since various sensors could be moving around different parts of a city at all times. Scentroid is a Toronto based company which has been developing sensor-based systems for urban air pollution monitoring with features that overcome many of the limitations of existing commercial sensors. Scentroid systems integrate capability for self-calibration and allow the user to access various diagnostics remotely, ensuring reliable measurements are taken while the system is in the field. While Scentroid has developed robust algorithms for reading and interpreting sensor measurements, the company is interested in developing data analytics for mapping and visualizing sensor readings. The Transportation and Air Quality (TRAQ) research group, led by Prof. Hatzopoulou at the University of Toronto, has extensive experience in the development of air quality prediction models. This partnership will offer both parties a tremendous opportunity to explore a new research avenue which involves sensing and real-time mapping of urban air quality. For this purpose, we propose to 1) design a mobile data collection campaign in Toronto using Scentroid sensor units installed on a moving vehicle; 2) the data collected, will be used to develop algorithms for interpolation and real-time air pollution mapping. If successful, this Engage grant will enable a longer term partnership; using air quality maps to develop an information system that will play the role of a personal exposure advisor. Such applications are critical for persons vulnerable to air pollution, who become empowered with information and tools that assist them in their daily decisions.******

空气污染传感器的最新发展开发了在城市地区收集空气污染数据的新方法。空气污染传感器的成本低于传统分析仪，因此可以实现密集的数据收集活动，因为各种传感器可能始终在城市的不同部分中移动。 Scentroid是一家总部位于多伦多的公司，该公司一直在开发基于传感器的系统，用于城市空气污染监测，其功能克服了现有商业传感器的许多局限性。 Scentroid系统集成了自我校准的能力，并允许用户远程访问各种诊断，从而确保在系统中进行可靠的测量。尽管Scentroid开发了用于阅读和解释传感器测量值的强大算法，但该公司对开发用于映射和可视化传感器读取的数据分析感兴趣。由多伦多大学Hatzopoulou教授领导的运输和空气质量（TRAQ）研究小组在开发空气质量预测模型方面拥有丰富的经验。这种伙伴关系将为双方提供一个巨大的机会，以探索一种新的研究途径，其中涉及城市空气质量的感知和实时映射。为此，我们建议使用安装在移动车辆上的Scentroid传感器单元在多伦多设计移动数据收集活动； 2）收集的数据将用于开发用于插值和实时空气污染映射的算法。如果成功，这项参与赠款将实现长期合作伙伴关系；使用空气质量图来开发一个将发挥个人暴露顾问作用的信息系统。这种应用对于容易受到空气污染的人至关重要，他们拥有帮助他们日常决策的信息和工具。******