pollution spikes through the internet of things is a B.Tech project topic for Environmental Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
pollution spikes through the internet of things Project Details
| Abstract |
Rapid growth of cities and more vehicles on the road are creating short, intense bursts of air pollution that fixed monitoring stations often miss. To fill this gap, we are building a prototype that watches traffic‑related pollution spikes with an Internet of Things (IoT) edge network. Small sensor nodes will sit at the roadside. Each node carries electrochemical and optical gas sensors that measure real‑time levels of particulate matter (PM2.5 and PM10) and gases such as carbon monoxide (CO) and nitrogen dioxide (NO2). The nodes use edge‑computing techniques to handle raw data on the spot. They filter out high‑frequency noise and flag unusual spikes before sending a summarized report to
a cloud platform. Processing locally cuts down the amount of data that travels over the network and speeds up the detection of anomalies. The overall system includes low‑power microcontrollers, wireless communication modules, and a cloud‑based dashboard for visualizing the results. This setup gives environmental‑engineering students a hands‑on way to study local emission patterns. It is designed to be scalable and inexpensive, providing high‑resolution urban air‑quality data that can support targeted traffic‑management actions.
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| Reference Paper |
Prototype of Monitoring Transportation Pollution Spikes through the Internet of Things Edge Networks. |
| Domain |
Environmental Engineering |
| Sub-Domain |
Air Pollution Monitoring |
| PDF Download |
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