Proving concept of an array of IoT connected air quality sensors for Smart Cities

Concirrus是一家屡获殊荣的技术公司，我们的目标是在令人印象深刻的营业额增长基础上-从创业的两年内达到250万英镑-在未来两年内达到1000万英镑。我们已成功交付（Smart资助）车辆远程信息处理开发项目。英国和许多其他欧盟成员国目前的大气污染水平超过了指令2008/50/EC规定的水平。测量顺应性的读数是在固定位置进行的。这无法识别导致广泛地理区域（城市或地区级别）不合规的热点（关键交通路口、工业设施）。个人希望他们能够做出明智的决定，以避免他们对空气质量的贡献和暴露。现有的应用程序和警报服务无法提供这一点。我们将评估一种新型的廉价传感器组合的能力，以产生可与最先进的参考传感器相媲美的性能。我们将在实验室和操作条件下进行测试-在现场传感器旁边。我们将评估是否有许多廉价的传感器在一个dynamicarray可以产生的数据质量相当的国家的最先进的。最终，我们将展示一个架构，使一个通用的空气质量网络，能够容纳任何类型的传感器。项目后，我们将展示移动场景中的数据捕获，进一步增加价值。任何人都可以使用输出来生成有用的、细粒度的、时空的空气质量数据集，从而允许：·个人选择旅行路线和模式，避免暴露于和促成糟糕的空气质量·地方当局识别和消除污染热点，从而遵守2008/50/EC·规划、建筑和测量行业为公共和住宅建筑提供细粒度数据，以避免糟糕的空气质量·雇主避免其员工暴露于潜在危险的空气中

Concirrus, an award winning technology company have an ambition to build on ourimpressive turnover growth- £2.5M in two years from start-up- to £10M in the next two years.We have successfully delivered (Smart funded) vehicle telematics development projects. Thisproject seeks to adapt similar methodology to unmet needs in air quality monitoring.The UK and many other EU members currently exceed levels of atmospheric pollutionstipulated in directive 2008/50/EC. Readings to measure compliance are taken at fixedlocations. This fails to identify hotspots (key traffic intersections, industrial facilities) thatcause non-compliance over wide geographic areas (city or region level). Individuals want ameans to make informed decisions to avoid their contribution to and exposure to poor airquality. Existing apps and alert services fail to provide this.We will assess the capability of a novel combination of inexpensive sensors to produce datacomparable to state-of-the-art reference sensors. We will test in lab and operational conditions– next to live sensors. We will assess whether having many inexpensive sensors in a dynamicarray can produce data of comparable quality to state-of-the-art.Ultimately, we will demonstrate an architecture that enables a universal air quality network,capable of accommodating any type of sensor. Post-project we will show data capture inmoving scenario, adding further value. Anyone could use outputs to produce a useful, finegrained,spatio-temporal dataset of air quality allowing:• Individuals to make choices about travel routes and modes, avoiding exposure to andcontribution to poor air quality• Local authorities to identify and eliminate pollution hotspots, leading to compliancewith 2008/50/EC• Planning, construction and surveying industry to provide fine grained data to sitepublic and residential buildings to avoid poor air quality• Employers to avoid exposure of their workforce to potentially hazardous air