Academic Journal
Development of a Real-time Radiation Detection System that Uses IoT to Provide Real-time Monitoring on a Custom-built Website.
| Τίτλος: | Development of a Real-time Radiation Detection System that Uses IoT to Provide Real-time Monitoring on a Custom-built Website. |
|---|---|
| Συγγραφείς: | Omio MH; Department of Nuclear Science and Engineering, Military Institute of Science & Technology, Mirpur Cantonment, Dhaka, Bangladesh., Mollah AS |
| Πηγή: | Health physics [Health Phys] 2026 Oct 01; Vol. 131 (4), pp. 317-330. Date of Electronic Publication: 2026 Feb 10. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985093R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1538-5159 (Electronic) Linking ISSN: 00179078 NLM ISO Abbreviation: Health Phys Subsets: MEDLINE |
| Imprint Name(s): | Publication: <2003->: Hagerstown, MD : Lippincott Williams & Wilkins Original Publication: New York. |
| Ιατρικοί όροι (MeSH): | Radiation Monitoring*/instrumentation , Radiation Monitoring*/methods , Internet of Things* , Internet*, Computer Systems ; Time Factors |
| Περίληψη: | Effective radiation monitoring is crucial for ensuring public security and safety, particularly in the event of nuclear (e.g., nuclear accident, fallout, etc.) or radiological (e.g., radiation source spill, dirty bombs, etc.) emergencies. Traditional monitoring methods often lack real-time capabilities and comprehensive data visualization and analysis, which can delay response time and increase further risks. To address this gap, this research proposes an Advanced Radiation Detector for real-time radiation monitoring. The novelty is in its use of an internet of things (IoT)-based framework to collect and transmit all the data (e.g., radiation level, temperature, pressure, humidity, and air quality) via a GSM module to web cloud all from one device with enhanced visualization in the self-made website. The study setup will obtain data across the area of the Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, Bangladesh, using this Advanced Radiation Detector. This data is visualized by creating a scatter circle map of spatial distribution of radiation measurements. By visualizing radiation data taken from the self-developed detector and visualizing it using the self-made website, we found the Advanced Radiation Detector meets its objectives perfectly. This research aims to enable real-time radiation monitoring and provides timely insights for emergency responses. By integrating IoT in the system, it has directly overcome the limitation of traditional methods. The Advanced Radiation Detector has immense potential to improve security and safety measures. The current Rooppur Nuclear Power Plant (RNPP) development in Bangladesh emphasizes the necessity of customized solutions for efficient radiological risk management. In order to improve Bangladesh's nuclear safety framework, this study presents a revolutionary IoT-based radiation monitoring system that uses machine learning for real-time assessment and predictive analytics. (Copyright © 2026 Health Physics Society.) |
| References: | 1Omio12. RADSAFE — IoT and ML Powered Radiation Monitoring System (Web Interface Source Code). GitHub [online] 2025. Available at https://github.com/1Omio12/RADSAFE . Accessed 10 November 2025. Ahmad MI, Abdul Rahman NA, Ibrahim MM, Baharudin NH. Ionizing radiation monitoring technology at the verge of internet of things. Sensors 21:7629; 2021. Bangladesh Atomic Energy Commission. Nuclear Safety and Radiation Control (NSRC) Act, 1993. Dhaka: Government of Bangladesh; 1993. Bosch Sensortec. BME680 environmental sensor data sheet [online]. 2018. Available at https://www.bosch-sensortec.com/products/environmental-sensors/gas-sensors/bme680/ . Accessed 13 September 2025. Espressif Systems. ESP32 technical reference manual [online]. 2025. Available at https://www.espressif.com/en/products/socs/esp32 . Accessed 13 September 2025. Flanagan RR, Sun K, Holliday J, Balasubramanian S, Wicks RT. Detecting nuclear materials in urban environments using mobile sensor networks. Sensors 21:2196; 2018. Fujibuchi T, Nakayama T, Yoshida T, Yamashita H, Kato T. Development of a portable radiation monitoring system using Geiger-Mueller tubes. Health Phys 114:321-327; 2018. Gamma Scout GmbH & Co. KG. GAMMA-SCOUT® Standard product specifications [online]. 2025. Available at https://gamma-scout.com . Accessed 8 January 2025. HUATEC Group Corporation. J305 Geiger-Müller tube glass geiger counter tube for personal dosimeter – specification sheet [online]. 2022. Available at https://www.huatecgroup.com/sale-37085530-j305-geiger-muller-tube-glass-geiger-counter-tube-for-personal-dosimeter.html . Accessed 10 November 2025. Ibrahim MM, Ahmad MI, Abdul Rahman NA, Baharudin NH. Web design and development for centralized area radiation monitoring system in Malaysian Nuclear Agency. AIP Conference Proc 1799:030014; 2017. International Atomic Energy Agency. Radiation protection and safety of radiation sources: International basic safety standards. IAEA Safety Standards Series No. GSR Part 3 (Interim). Vienna: IAEA; 2014. IoT-devices LLC. Geiger Tube J305: How to calculate the conversion factor of CPM to µSv/h – Technical Note [online]. 2023. Available at https://iot-devices.com.ua/en/geiger-tube-j305-how-to-calculate-the-conversion-factor-of-cpm-technical-note-en/. Accessed 10 November 2025. Krzanovic N, Milosevic M, Radosevic M, Vasic M. Development and testing of a low-cost radiation protection instrument based on an energy compensated Geiger-Mueller tube. Radiat Meas 110:1-7; 2017. Lee JW, Kim SH, Park HJ, Choi YS. IoT-enabled system for detection, monitoring, and tracking of nuclear materials. Electron 12:3042; 2023. Luan YC, Chen CS, Wang YT. Re-examining the health effects of radiation and its protection. Int J Low Radiat 3:27-44; 2006. Mollah AS. IoT-based monitoring device’s conceptual design and construction for gamma-ray radiation measuring using a Geiger Muller counter and related electronic circuits, Paper presented as an “Invited Speaker” at the 2nd International Conference on Electrical Engineering and Computational Science (ICELECS 2024), Bern, Switzerland, June 27-30, 2024. Rahman NAA, Ibrahim MM, Ahmad MI, Baharudin NH. GSM module for wireless radiation monitoring system via SMS. AIP Conference Proc 1930:020013; 2018. Turner JS, Brooks ML, Hayes TJ. Environmental effects on radiation measurements: a review. Radiat Protect Dosim 167:177-183; 2015. Ullo SL, Sinha GR. Advances in smart environment monitoring systems using IoT and sensors. Sensors 20:3113; 2020. U-blox. NEO-6M GPS module data sheet [online]. 2016. Available at https://www.u-blox.com/en/product/neo-6-series . Accessed 13 September 2025. Zhang Y, Zhao Y, Li H, Xu D. Real-time GPS-based localization for autonomous vehicles using ESP32. IEEE Trans Intel Trans Sys 19:2564-2573; 2018. |
| Contributed Indexing: | Keywords: accidents, nuclear; emergency planning; radiation monitors; radiation protection |
| Entry Date(s): | Date Created: 20260210 Date Completed: 20260831 Latest Revision: 20260831 |
| Update Code: | 20260901 |
| DOI: | 10.1097/HP.0000000000002127 |
| PMID: | 41665495 |
| Βάση Δεδομένων: | MEDLINE |
καταχωρήστε σχόλιο πρώτοι!