Pollution Guardian stage 2

试验性开发一种负担得起的空气质量警报解决方案，用于车辆内，这将改变患有现有呼吸系统疾病的消费者和其他希望保护肺部的消费者采取行动改善健康结果的能力。目前，空气污染在许多国家都是一个挑战，但对于那些既有呼吸系统疾病的人来说，这是一个紧迫的问题。在今天的英国，有540万哮喘患者，其中超过60%的人认为空气污染是哮喘发作的主要诱因，30%的人每年需要在医院或非工作时间中心进行计划外护理。多项研究表明，汽车是暴露在空气污染中最严重的地方。我们相信，减少车内暴露将对整体健康结果产生重大影响。解决方案将包括一个可充电的电池供电传感器，该传感器将安装在车内，测量NO2和颗粒物污染的水平，并与智能手机上运行的蓝牙应用程序进行本地通信。数据将在智能手机和云中的后端系统之间传输，为智能手机应用程序提供处理、存储和“呈现”反馈。当污染水平变得很高，并通过视觉和听觉手段提示用户改变车辆的通风方式以减少他们的空气污染剂量时，将根据机器学习训练的算法发出本地警报。将开发离线指导，例如日志和污染地图。

Experimental development of an affordable, air quality alerting solution for use within vehicles which will transform the ability of both consumers with existing respiratory conditions and others wishing to protect their lungs to take actions to improve their health outcomes.Air pollution is a challenge in many countries at the moment, but it is a burning issue for those with existing respiratory conditions. In the UK today, there are 5.4M asthmatics with over 60% identifying air pollution as the main trigger for an asthma attack and 30% requiring unplanned care at hospital/out-of-hours centres each year.Several studies indicate the car as the place for the highest exposure to air pollution. We believe that mitigating the exposure within the car will have a significant impact on overall health outcomes.The solution will consist of a re-chargeable, battery powered sensor which will be mounted in-car to measure the levels of NO2 and particulate pollution and communicate locally with a Bluetooth enabled app running on a smartphone. Data will be transferred between the smartphone and back-end system in the cloud to provide processing, storage and "presentation" feedback to the smartphone app. Local alerts will be raised according to a 'machine learning' trained algorithm, when pollution levels become high and the user prompted through visual and audible means to make ventilation changes in the vehicle to reduce their air pollution dosage. Offline guidance e.g. logs and pollution maps will be developed.