Exposure to Particulate Matter (PM) has been identified as a major health problem worldwide. Established measurement techniques require equipment costing many thousands of dollars and specialist expertise to maintain. Ongoing research is investigating the use of low cost <;$300 sensors to enable greater temporal-spatial density of readings to be taken. There are questions about the suitability and reliability of these low-cost sensors, which can be addressed by deploying and evaluating the sensors in real world applications. Rather than deploying standalone data loggers for each sensor, each air quality monitor is connected to an IoT device to enable real time transmission of data. We propose festival sites as small scale cities to enable a short term deployments and evaluation of sensors. This work illustrates that, if coupled with higher resolution of wind data, low-cost sensors may enable to follow the evolution of pollution hotspots and help the identification of pollution sources. This study, building upon the body of work focused on the evaluation and best practice of using low-cost sensors for PM monitoring. We present data from these IoT devices and experiences gained from using a festival site as a substitute for a city.
|Conference||2019 IEEE 5th World Forum on Internet of Things (WF-IoT)|
|Period||15/04/19 → 18/04/19|