doi: 10.17586/2226-1494-2021-21-5-633-645


Scintillation gamma radiation sensors based on solid-state photomultipliers in wireless industrial internet networks

I. O. Bokatyi, V. M. Denisov, A. V. Timofeev, A. B. Titov, Joel Jose Puga Coelho Rodrigues, V. V. Korotaev


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Bokatyi I.O., Denisov V.M., Timofeev A.V., Titov A.B., Rodrigues J.J.P.C., Korotaev V.V. Scintillation gamma radiation sensors based on solid-state photomultipliers in wireless industrial internet networks. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2021, vol. 21, no. 5, pp. 633–645 (in Russian). doi: 10.17586/2226-1494-2021-21-5-633-645


Abstract
The article examines the principles of developing wireless networks of autonomous gamma sensors in order to create systems for spatial environmental radiation monitoring. The main task of such systems is to control the level of gamma radiation in areas where potential sources of ionizing radiation are located. An autonomous gamma-ray spectrometer is used as a measuring sensor. The authors propose to apply measuring sensors based on a silicon photomultiplier to create autonomous wireless networks of the industrial Internet for radiation monitoring. To confirm the possibility of using this class of receivers as part of gamma spectrometers, the main structural elements of the system were modeled, and the experimental model of the gamma spectrometer was prototyped. The linearity and energy resolution of the experimental sample were also investigated. To test the model for constructing a gamma spectrometer, a CsI (Tl) scintillation crystal and a Sensl Array-60035-4P photomultiplier were used. The established range of recorded energies is in the range from 121 keV to 1332 keV, the relative energy resolution for the 137Cs peak is 11.07 %, the linearity of the transfer characteristic is 99.91 %. Based on this sensor, the architecture of an automated wireless system for monitoring the spatial distribution of gamma radiation has been developed. The results of the work allow the use of radiation monitoring systems in accordance with the requirements of Industry 4.0.

Keywords: radiation monitoring, wireless sensor networks, industrial Internet of things, IIoT, scintillation detector, silicon photomultiplier, SiPM, LoRa

References
1. Ullo S.L., Sinha G.R. Advances in smart environment monitoring systems using IoT and sensors. Sensors, 2020, vol. 20, no. 11, pp. 3113. https://doi.org/10.3390/s20113113
2. Jamil M.S., Jamil M.A., Mazhar A., Ikram A., Ahmed A., Munawar U. Smart environment monitoring system by employing wireless sensor networks on vehicles for pollution free smart cities. Procedia Engineering, 2015, vol. 107, pp. 480–484. https://doi.org/10.1016/j.proeng.2015.06.106
3. Arzhaev A.A., Arzhaev A.I., Makhanev V.O., Antonov M.I., Emelianov A.V., Kalyutik A.A., Karyakin Yu.E., Arzhaev K.A., Denisov I.N. About leak detection systems in the framework of LBB concept application at Russian NPPs. CEUR Workshop Proceedings, 2020, vol. 2763, pp.  98–104.
4. Wollschlaeger M., Sauter T., Jasperneite J. The future of industrial communication: automation networks in the era of the Internet of Things and Industry 4.0. IEEE Industrial Electronics Magazine, 2017, vol. 11, no. 1, pp. 17–27. https://doi.org/10.1109/MIE.2017.2649104
5. Venkatapathy A.K.R., Riesner A., Roidl M., Emmerich J., ten Hompe M. PhyNode: An intelligent, cyber-physical system with energy neutral operation for PhyNetLab. Proc. of the Smart SysTech 2015: European Conference on Smart Objects, Systems and Technologies, 2015, pp. 1–8.
6. Santos D.A.A., Rodrigues J.J.P.C., Furtado V., Saleem K., Korotaev V. Automated electronic approaches for detecting disease vectors mosquitoes through the wing-beat frequency. Journal of Cleaner Production, 2019, vol. 217, pp. 767–775. https://doi.org/10.1016/j.jclepro.2019.01.187
7. Diène B., Rodrigues J.J.P.C., Diallo O., Ndoye E.M., Korotaev V.V. Data management techniques for Internet of Things. Mechanical Systems and Signal Processing, 2020, vol. 138, pp. 106564. https://doi.org/10.1016/j.ymssp.2019.106564
8. Romanova G.E., Radilov A.V., Denisov V.M., Bokatyi I.O., Titov A.B. Simulation and research of the gamma-ray detectors based on the CsI crystals and Silicon Photomultipliers. Proceedings of SPIE, 2017, vol. 10231, pp. 102311G. https://doi.org/10.1117/12.2264921
9. Florentsev V., Baryshev G., Berestov A., Kondrateva A., Biryukov A. Precision spectrometric search dosimeter-radiometer based on a Matrix SiPM, designed to restore the geometry of ionizing radiation sources. Springer Proceedings in Physics, 2021, vol. 255, pp. 113–120. https://doi.org/10.1007/978-3-030-58868-7_13
10. Yazikov Ye.G., Shatilov A.Yu. Geoecological Monitoring. Tomsk, 2003, 336 p. (in Russian)
11. Jevtic N.J., Drndarevic V.R. Smart sensors for environmental radiation monitoring networks. Proc. 23rd Telecommunications Forum (TELFOR 2015), 2015, pp. 507–614. https://doi.org/10.1109/TELFOR.2015.7377541
12. Wong M.C., Mok H.Y., Chan Y.K. An overview of emergency radiation monitoring in Hong Kong. Proc. 10th International Congress of the International Radiation Protection Association on Harmonization of Radiation, Human Life and the Ecosystem, 2000.
13. Milbrath B.D., Peurrung A.J., Bliss M., Weber W.J. Radiation detector materials: An overview. Journal of Materials Research, 2008, vol. 23, no. 10, pp. 2561–2581. https://doi.org/10.1557/JMR.2008.0319
14. Dolinsky S., Fu G., Ivan A. Timing resolution performance comparison for fast and standard outputs of SensL SiPM. Proc. of the 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC2013), 2013, pp. 6829520. https://doi.org/10.1109/NSSMIC.2013.6829520
15. Huang T., Fu Q., Lin S., Wang B. NaI (Tl) scintillator read out with SiPM array for gamma spectrometer. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2017, vol. 851, pp. 118–124. https://doi.org/10.1016/j.nima.2017.01.068
16. Cozzi G., Busca P., Carminati M., Fiorini C., Montagnani G.L., Acerbi F., Gola A., Paternoster G., Piemonte C., Regazzoni V., Camera F., Million B. High-Resolution Gamma-Ray Spectroscopy With a SiPM-Based Detection Module for 1” and 2” LaBr3:Ce Readout. IEEE Transactions on Nuclear Science, 2018, vol. 65, no. 1, pp. 645–655. https://doi.org/10.1109/TNS.2017.2784238
17. Dolinsky S., Fu G., Ivan A. Timing resolution performance comparison of different SiPM devices. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2015, vol. 801, pp. 11–20. https://doi.org/10.1016/j.nima.2015.08.024
18. Nemzek R.J., Dreicer J.S., Torney D.C., Warnock T.T. Distributed sensor networks for detection of mobile radioactive sources. IEEE Transactions on Nuclear Science, 2004, vol. 51, no. 4, pp. 1693–1700. https://doi.org/10.1109/TNS.2004.832582
19. Brennan S.M., Mielke A.M., Torney D.C., Maccabe A.B. Radiation detection with distributed sensor networks. Computer, 2004, vol. 37, no. 8, pp. 57–59. https://doi.org/10.1109/MC.2004.103
20. Pangallo M., Boukabache H., Perrin D. Study and development of a multiplexed radiation instrument solution for CERN facilities. Proc. of the IEEE International Symposium on Systems Engineering (ISSE), 2015, pp. 89–91. https://doi.org/10.1109/SysEng.2015.7302738
21. Madakam S., Ramaswamy R., Tripathi S. Internet of Things (IoT): A literature review. Journal of Computer and Communications, 2015, vol. 3, no. 5, pp. 164. https://doi.org/10.4236/jcc.2015.35021
22. Mukhametzyanov M.F., Rakhimov A.M., Khalitov I.R. Application of the Internet of Things (IoT) in smart transport. Proc. XVII International Scientific Conference “Modern Science: Topical Issues, Achievements and Innovations. (Penza, 05 February 2021). Part 1. Penza, Science and Education Publ., 2021, pp. 103–105. (in Russian)
23. Nogoeva G.D., Sulajmanova N.Y. Internet of Things and its Role for Digital Economic Transformation. Eurasian Scientific Association, 2020, no. 1-3(59), pp. 231–234. (in Russian)
24. Zaytsev Y.V. Digital transformation of the enterprise under the influence of IioT (Industrial internet of Things technology). Economic growth and its importance for sustainable development of Russia: Proceedings of the 5th all-Russian scientific conference dedicated to the 30th anniversary of the tax service of the Russian Federation (Kursk, November 12-13, 2020). Kursk, Universitetskaja Kniga Publ., 2020, pp. 172–175. (in Russian)
25. Titov A., Tumanov A., Timofeev A., Tumanov V., Denisov V. Autonomous safety system for MSW landfills. E3S Web of Conferences, 2020, vol. 161, pp. 01043. https://doi.org/10.1051/e3sconf/202016101043
26. Antonova M., Yakovlev V., Scorokhodova A. Development of measures to protect the population and prevent pollution based on the study of the radiation background of the object. E3S Web of Conferences, 2019, vol. 140, pp. 08011. https://doi.org/10.1051/e3sconf/201914008011
27. Guseva A.I., Koptelov M.V. Risk assessment of prospective investment projects for the construction of nuclear power plants abroad. International Journal of Engineering and Technology (UAE), 2018, vol. 7, no. 2, pp. 251–254. https://doi.org/10.14419/ijet.v7i2.23.11953
28. Repin L.V., Biblin A.M., Kovalev P.G., Nikolaevich M.S., Repin V.S. The automated system of radiation exposure control (ASCRE) for rospotrebnadzor: creation history, applicability and development. Radiatsionnaya Gygiena, 2014, vol. 7, no. 3, pp. 44–53. (in Russian)
29. Kuznetsova O.N., Nevgod L.Y. An overview of the technical means of radiation control environmental problems of a technical and metrological maintenance. Pozharnaja bezopasnost': problemy i perspektivy, 2019, vol. 1, no. 10, pp. 191–193. (in Russian)
30. Vasilenko V.A., Ivanov A.A., Miroshnichenko I.V., Pankina E.B. Ecological security report by the Federal State Unitary Enterprise "A.P. Aleksandrov Scientific Research Technological Institute". Sosnovy Bor, 2019. (in Russian)
31. Vo D.T. Comparisons of the DSPEC and DSPEC Plus spectrometer systems. Los Alamos, NM (US), Los Alamos National Laboratory, 1999, no. LA-13671-MS.
32. Porterfield D.R. et al. Low Activity Test Sources. Los Alamos, NM (US), Los Alamos National Laboratory, 2015, no. LA-UR-15-22530.
33. Denisov V., Korotaev V., Titov A., Blokhina A., Kleshchenok M. Overview of field gamma spectrometries based on Si-photomultiplier. Proceedings of SPIE, 2017, vol. 10231, pp. 1023121. https://doi.org/10.1117/12.2265837
34. Gavrilov S.L., Kiselev V.P., Kudeshov E.V., Pimenov A.E., Semin N.N., Shikin S.A., Iakovlev V.Iu. Software for radiation monitoring control station. Proceedings of IBRAE RAS. Issue 15. Development of Emergency Response and Radiation Monitoring Systems. Moscow, Nauka Publ., 2014, pp. 42–57. (in Russian)
35. Chang K.H. Bluetooth: a viable solution for IoT? [Industry Perspectives]. IEEE Wireless Communications, 2014, vol. 21, no. 6, pp. 6–7. https://doi.org/10.1109/MWC.2014.7000963
36. Danbatta S.J., Varol A. Comparison of Zigbee, Z-Wave, Wi-Fi, and bluetooth wireless technologies used in home automation. Proc. 7th International Symposium on Digital Forensics and Security (ISDFS), 2019, pp. 8757472. https://doi.org/1109/ISDFS.2019.8757472
37. Shen L.-H., Wu C.-H., Su W.-C., Feng K.-T. Analysis and implementation for traffic-aware channel assignment and contention scheme in LoRa-Based IoT networks. IEEE Internet of Things Journal, 2021, vol. 8, no. 14, pp. 11368–11383. https://doi.org/10.1109/JIOT.2021.3051347
38. Lowe C.L., Kiger C.J., Jackson D.N., Young D.M. Implementation of wireless technologies in nuclear power plants’ electromagnetic environment using cognitive radio system. Proc. 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies (NPIC&HMIT 2017), 2017, pp. 385–393.
39. Wang D., Chen D., Song B., Guizani N., Yu X., Du X. From IoT to 5G I-IoT: The Next Generation IoT-Based Intelligent Algorithms and 5G Technologies. IEEE Communications Magazine, 2018, vol. 56, no. 10, pp. 114–120. https://doi.org/10.1109/mcom.2018.1701310
40. Siegel S., Silverman R.W., Shao Y.P., Cherry S.R. Simple charge division readouts for imaging scintillator arrays using a multi-channel PMT. IEEE Transactions on Nuclear Science, 1996, vol. 43, no. 3, pp. 1634–1641. https://doi.org/10.1109/23.507162
41. Kovaltchouk V.D., Lolos G.J., Papandreou Z., Wolbaum K. Comparison of a silicon photomultiplier to a traditional vacuum photomultiplier. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2005, vol. 538, no. 1-3, pp. 408–415. https://doi.org/10.1016/j.nima.2004.08.136
42. Herbert D.J., Saveliev V., Belcari N., D'Ascenzo N., Del Guerra A., Golovin A. First results of scintillator readout with silicon photomultiplier. IEEE Transactions on Nuclear Science, 2006, vol. 53, no. 1, pp. 389–394. https://doi.org10.1109/TNS.2006.869848


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