Pollution Guardian stage 2

污染卫士第二阶段

• 批准号: 105725
• 金额: $ 16.86万
• 依托单位: ALL ABOUT THE PRODUCT LTD
• 依托单位国家: 英国
• 项目类别: Study
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=105725
• 关键词: Pollution; Guardian; stage

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.

实验开发一种经济实惠的车内空气质量警报解决方案，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人采取行动改善健康状况的能力。空气污染目前在许多国家都是一个挑战，但对于那些患有现有呼吸系统疾病的人来说，这是一个紧迫的问题。如今，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，每年有 30% 的人需要在医院/非工作时间中心进行计划外护理。多项研究表明，汽车是接触空气污染最严重的地方。我们相信，减少车内的暴露将对整体健康结果产生重大影响。该解决方案将包括一个可充电、电池供电的传感器，该传感器将安装在车内，用于测量二氧化氮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端后端系统之间传输，为智能手机应用程序提供处理、存储和“演示”反馈。当污染水平变高时，将根据“机器学习”训练的算法发出本地警报，并通过视觉和听觉方式提示用户改变车内通风以减少空气污染剂量。离线指导例如将绘制日志和污染地图。