Smart Environment: IoT-based Air Pollution Monitoring System
Smart city technologies are transforming the way cities, councils and citizens interact, and internet-of-things (IoT) plays a crucial rule in enabling smart city solutions. LoRaWAN enables real-time analytics and reporting and can be used for a wide range of smart city applications such as smart environment, smart home, waste management, parking management and water metering. This project will focus on air pollution monitoring using a low-cost, low-power, long-range IoT system.
Driven by the recent advances in IoT, the project aimed to establish an IoT-based testbed to monitor the concentration of major air pollutant gasses and particles. The testbed is made of a gateway connected wirelessly to a variety of sensors forming a standard low-power network, which will be a typical example to explore the potential benefits of the fifth generation (5G) communication system that supports IoT applications. The sensors are placed strategically on top of Queens Building next to Mill Lane which has seen a remarkable transformation to a pedestrian-only road promoting healthier and more environmental-friendly approach to the area. The system is scalable and can be extended to wider areas or locations around Leicester with identified air pollution problems. In addition, it can be further extended to a variety of other IoT-enabled applications using relevant sensors, such as waste and recycling management, real-time parking spaces monitoring and allocation...etc. The LoRaWAN gateway for IoT applications on top of Vijay Petal Buidling, DMU campus, Leicester
The LoRaWAN sensing units with the particle matter-dust probe and the gases sensors as setup on top of Queens building, DMU campus, Leicester
Particle Matter (PM1 / PM2.5 / PM10)
Collected measurements are visulaised and compared with WHO Air quality guideline values and the national air quality target values setup by the Department for Environment Food & Rural Affairs in the UK for the protection of human health.
Sept 2021: https://thingspeak.com/channels/1598282
Oct 2021: https://thingspeak.com/channels/1572695
Nov 2021: https://thingspeak.com/channels/1598262
If you would like to know more about the project or the setup. please contact us on IoT@dmu.ac.uk or directly contact the project PIs, Dr Ammar Ghazal mailto:firstname.lastname@example.org and Dr Mohamed Ismaeel Maricar mailto:email@example.com.