Cargando…

Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning

Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the perspective of regional environmental nuclear radiation monitoring, it is of great practical significance to establish a scientific and reliable wireless sensor monitoring network for timely and accur...

Descripción completa

Detalles Bibliográficos
Autor principal: Zong, Bochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148254/
https://www.ncbi.nlm.nih.gov/pubmed/35637723
http://dx.doi.org/10.1155/2022/4351339
_version_ 1784717005685784576
author Zong, Bochen
author_facet Zong, Bochen
author_sort Zong, Bochen
collection PubMed
description Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the perspective of regional environmental nuclear radiation monitoring, it is of great practical significance to establish a scientific and reliable wireless sensor monitoring network for timely and accurately grasping nuclear radiation status and ensuring nuclear safety. In this article, we design a regional environmental nuclear radiation monitoring system based on Zigbee wireless sensor network by using Zigbee wireless technology. First, the network topology suitable for nuclear radiation environment monitoring is designed. Second, the JN5121 module is selected as the core of the Zigbee wireless sensor to build the network hardware platform. Finally, the article focuses on the receiving mechanism, data transmission, coordination between network nodes, network structure, and dynamic network management, and carries on the software development to the Zigbee wireless environment monitoring network. The system can measure the data in real time, display the dose rate of y radiation effectively, and realize the functions of remote control, field control, security alarm, and environmental monitoring. It has good promotion and application value.
format Online
Article
Text
id pubmed-9148254
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-91482542022-05-29 Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning Zong, Bochen Comput Intell Neurosci Research Article Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the perspective of regional environmental nuclear radiation monitoring, it is of great practical significance to establish a scientific and reliable wireless sensor monitoring network for timely and accurately grasping nuclear radiation status and ensuring nuclear safety. In this article, we design a regional environmental nuclear radiation monitoring system based on Zigbee wireless sensor network by using Zigbee wireless technology. First, the network topology suitable for nuclear radiation environment monitoring is designed. Second, the JN5121 module is selected as the core of the Zigbee wireless sensor to build the network hardware platform. Finally, the article focuses on the receiving mechanism, data transmission, coordination between network nodes, network structure, and dynamic network management, and carries on the software development to the Zigbee wireless environment monitoring network. The system can measure the data in real time, display the dose rate of y radiation effectively, and realize the functions of remote control, field control, security alarm, and environmental monitoring. It has good promotion and application value. Hindawi 2022-05-21 /pmc/articles/PMC9148254/ /pubmed/35637723 http://dx.doi.org/10.1155/2022/4351339 Text en Copyright © 2022 Bochen Zong. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zong, Bochen
Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning
title Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning
title_full Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning
title_fullStr Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning
title_full_unstemmed Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning
title_short Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning
title_sort design of nuclear radiation monitoring system in floor exploration based on deep learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9148254/
https://www.ncbi.nlm.nih.gov/pubmed/35637723
http://dx.doi.org/10.1155/2022/4351339
work_keys_str_mv AT zongbochen designofnuclearradiationmonitoringsysteminfloorexplorationbasedondeeplearning