Development of a Real-time Radiation Detection System that Uses IoT to Provide Real-time Monitoring in Custom-built...

Area of Science:

• Environmental Science
• Nuclear Engineering
• Computer Science

Background:

• Effective radiation monitoring is critical for public safety during nuclear or radiological emergencies.
• Traditional methods often lack real-time data and comprehensive visualization, hindering timely responses.
• The development of the Rooppur Nuclear Power Plant in Bangladesh highlights the need for advanced radiological risk management solutions.

Purpose of the Study:

• To develop and evaluate an Advanced Radiation Detector integrated with an Internet of Things (IoT) framework.
• To enable real-time radiation monitoring and provide enhanced data visualization for emergency response.
• To improve Bangladesh's nuclear safety framework through customized, intelligent monitoring solutions.

Main Methods:

• An IoT-based framework was developed, integrating an Advanced Radiation Detector with a GSM module for data transmission.
• Environmental data (radiation levels, temperature, pressure, humidity, air quality) was collected using the detector.
• A self-made website was utilized for enhanced data visualization, including a scatter circle map of spatial radiation distribution.

Main Results:

• The Advanced Radiation Detector successfully collected and transmitted real-time environmental and radiation data.
• The self-made website effectively visualized the spatial distribution of radiation measurements.
• The developed system met its objectives for real-time monitoring and timely insights.

Conclusions:

• The IoT-based Advanced Radiation Detector overcomes limitations of traditional methods, enhancing security and safety.
• The system offers immense potential for improving radiological risk management and emergency response.
• Integrating machine learning for real-time assessment and predictive analytics represents a revolutionary advancement in nuclear safety.