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辟了收集城市地区空气污染数据的新方法。空气污染传感器比传统分析仪成本更低，因此可以实现密集的数据收集活动，因为各种传感器可以随时在城市的不同部分移动。 Scentroid 是一家总部位于多伦多的公司，一直致力于开发基于传感器的城市空气污染监测系统，其功能克服了现有商业传感器的许多局限性。 Scentroid 系统集成了自校准功能，允许用户远程访问各种诊断信息，确保系统在现场时进行可靠的测量。虽然 Scentroid 开发了用于读取和解释传感器测量结果的强大算法，但该公司有兴趣开发用于映射和可视化传感器读数的数据分析。由多伦多大学 Hatzopoulou 教授领导的交通与空气质量 (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。此次合作将为双方提供巨大的机会来探索新的研究途径，其中涉及城市空气质量的传感和实时绘图。为此，我们建议 1) 使用安装在移动车辆上的 Scentroid 传感器单元在多伦多设计一个移动数据收集活动； 2) 收集到的数据将用于开发插值算法和实时空气污染测绘。如果成功，这笔参与赠款将促成更长期的合作伙伴关系；使用空气质量地图开发一个信息系统，该系统将发挥个人暴露顾问的作用。此类应用程序对于易受空气污染影响的人们至关重要，他们可以获得帮助他们进行日常决策的信息和工具。******