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A System to Create Stable Nanoparticle Aerosols from Nanopowders
Published on: July 26, 2016
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Note: Design and development of wireless controlled aerosol sampling network for large scale aerosol dispersion
V Gopalakrishnan1, V Subramanian1, R Baskaran1
1Radiation Impact Assessment Section, Radiological Safety Division, Indira Gandhi Centre for Atomic Research, Kalpakkam 603 102, India.
The Review of Scientific Instruments
|August 3, 2015
Summary
A custom wireless aerosol sampling network was developed for environmental monitoring. This system enables remote, simultaneous operation and status logging for 40 aerosol samplers, crucial for field studies.
Area of Science:
- Environmental Science
- Engineering
- Nuclear Reactor Technology
Background:
- Environmental aerosol sampling is critical for impact studies.
- Field measurements require reliable, synchronized data collection.
- Existing systems may face challenges in remote or uneven terrains.
Purpose of the Study:
- To design and implement a wireless aerosol sampling network.
- To support field measurement campaigns, specifically sodium aerosol dispersion experiments.
- To enable simultaneous operation and remote status monitoring of multiple samplers.
Main Methods:
- Developed a custom-built aerosol sampling network with 40 units.
- Integrated Programmable System on Chip (PSoC™) and Xbee Pro RF modules for wireless control.
- Utilized LabView for base station control and visualization.
- Programmed network for preset time operation and real-time status logging.
Main Results:
- Successfully implemented a 40-unit wireless aerosol sampling network.
- Demonstrated capability for remote, synchronized operation of samplers.
- Enabled visualization of sampler status from a central base station.
- Validated system performance during sodium aerosol dispersion experiments.
Conclusions:
- The developed wireless network provides a robust solution for environmental aerosol sampling.
- The system is adaptable for various environmental monitoring applications in challenging terrains.
- It facilitates efficient data acquisition and management for impact studies.

