Live
- Cyclone kills 14 in French territory Mayotte
- 3rd Test: Head, Smith centuries flatten India on Day 2
- AAP Announces Final Candidate List For 2025 Delhi Assembly Elections, Kejriwal To Contest From New Delhi
- Bangladesh unrest has delayed execution of some vital projects: Tripura CM
- PIL in SC seeks direction to designate BMC as sole planning, sanctioning authority for Mumbai
- 3rd Test: Centuries from Head, Smith help dominant Australia feast on listless India
- AAP final list of 38 names in Delhi: Kejriwal, CM Atishi retain seats
- Tributes Paid to Sardar Vallabhbhai Patel on His Death Anniversary at CM Revanth Reddy's Residence
- In just one year, Bhajanlal govt wins hearts of people
- CM Chandrababu announces establishment of Potti Sriramulu Telugu University
IIT Madras team develops IoT-based method for mobile pollution monitoring
IIT Madras
Researchers at the Indian Institute of Technology (IIT) Madras have developed a low-cost Internet of Things (IoT)-based mobile air pollution monitoring framework that can be mounted on buses, cars and two-wheelers to gather spatio-temporal air quality data.
Chennai: Researchers at the Indian Institute of Technology (IIT) Madras have developed a low-cost Internet of Things (IoT)-based mobile air pollution monitoring framework that can be mounted on buses, cars and two-wheelers to gather spatio-temporal air quality data.
Named as Project Kaatru (air in Tamil), it leverages IoT, big data and data science to provide pan-India hyperlocal air quality map; the exposure assessment for each Indian citizen; and data driven solutions for policy, intervention and mitigation strategies.
"Our affordable IoT based mobile monitoring network, coupled with data science principles offers unprecedented advantage in gathering hyperlocal insights into air quality," said Prof. Raghunathan Rengaswamy, Faculty, Department of Chemical Engineering, IIT Madras, in a statement.
"It is the only viable option at present, capable of offering high spatio-temporal awareness that could allow for informed mitigation and policy decisions," he added.
Traditionally, ambient air quality is measured in monitoring stations and reported as 'Air Quality Index' (AQI).
Since these stations are at fixed locations, they only measure the air quality of a small geographic area.
Air pollution, however, is dynamic with locations just a few hundred metres away from each other exhibiting different levels of pollution.
Levels can also vary at different times of the day. However, setting up more stations is not practical because of the high costs.
In contrast, the new IoT-based mobile air pollution monitoring technology can map an entire city at high resolution for the cost of a single reference monitoring station.
Rengaswamy said the mobile air quality sensors have extensive usage in both personal and public health initiatives.
"Personal monitoring devices can help people know the extent of pollution in their neighbourhood so that they can take protective measures. Traffic can be rerouted if local pollution levels are known.
"Government policy changes and smart city planning would benefit enormously from the use of mobile air quality trackers," he explained.
The vehicle mounted devices are also capable of measuring multiple parameters, ranging from particulate matter (PM)1, PM2.5, PM10 and gases such as nitric oxide (NOx) and Sulphur oxide (SOx).
