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Development of multi-detector soil radon measurement system based on IoT
Jinxuan Ding1, Weihua Zeng1, Shengli Hou1
1School of Geophysics and Information Technology, China University of Geosciences (Beijing), Beijing, 100083, China.
Summary
A new IoT-based soil radon monitor offers reliable, long-term measurement in remote mining areas. Its dual wireless networking and cloud platform ensure accurate data collection for environmental research.
Area of Science:
- Environmental Science
- Geophysics
- Instrumentation Engineering
Background:
- Radon gas monitoring is crucial for environmental safety, especially in mining regions.
- Existing methods for soil radon concentration measurement often face challenges in remote data acquisition and long-term monitoring.
- The need for robust, accurate, and easily deployable systems for field measurements is significant.
Purpose of the Study:
- To develop and validate a multi-detector soil radon measurement system utilizing the Internet of Things (IoT) for remote mining areas.
- To enhance the accuracy and reliability of soil radon concentration measurements through advanced technologies.
- To establish a system capable of long-term, continuous, and networked data acquisition.
Main Methods:
- Utilized a scintillation chamber method with Silicon Photomultiplier (SiPM) for radon detection.
- Integrated temperature compensation and 'triple-proof' protection for enhanced anti-interference capabilities.
- Employed a dual wireless transmission method (Narrow Band Internet of Things (NB-IoT) + Bluetooth) for field data networking.
- Developed a cloud-based platform for online data monitoring and management.
Main Results:
- Achieved a system sensitivity of 1.56 counts per hour per Becquerel per cubic meter (cph/(Bq/m³)).
- Demonstrated a relative error of less than or equal to 10% and a relative standard deviation (RSD) of less than or equal to 5.59%.
- Exhibited a battery endurance of 53 hours with three measurement nodes connected.
- Successfully conducted long-term monitoring in a uranium mining area, confirming system reliability and data acquisition capabilities.
Conclusions:
- The developed IoT-based soil radon measurement system is effective for long-term, continuous online monitoring in remote mining areas.
- The system meets field data networking requirements and supports the expansion of multiple detection nodes.
- Provides essential data support for soil radon-related research and environmental monitoring applications.
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