Strong Radiation Field Online Detection and Monitoring System with Camera.

CMOS camera monitoring monolithic active-pixel sensors online radiation detection strong radiation field

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
16 Mar 2022
Historique:
received: 21 02 2022
revised: 10 03 2022
accepted: 14 03 2022
entrez: 26 3 2022
pubmed: 27 3 2022
medline: 1 4 2022
Statut: epublish

Résumé

Herein, we report the γ-ray ionizing radiation response of a commercial monolithic active-pixel sensor (MAPS) camera under strong-dose-rate irradiation with an online detection and monitoring system for strong radiation conditions. We present the first results of the distribution of three types of MAPS camera and establish a linear relationship between the average response signal and radiation dose rate in the strong-dose-rate range. There is an obvious response signal in the video frames when the camera module parameters are set to automatic, but the linear response is very poor. However, the fixed image parameters are not good at adapting to the changes of the environment and affect the quality of the video frames. A dual module online radiation detection and monitoring probe was made to carry out effective video monitoring and radiation detection at the same time. The measurement results show that the dose rate detection error is less than 5% with a dose rate in the range of 60 to 425 Gy/h, and the visible light image does not have obvious distortion, deformation, or color shift due to the interference of the radiation response event and radiation damage. Hence, the system test results show that it can be used for online detection and monitoring in a strong radiation environment.

Identifiants

pubmed: 35336450
pii: s22062279
doi: 10.3390/s22062279
pmc: PMC8955199
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : General nuclear safety technology
ID : xxx080202
Organisme : National Natural Science Foundation of China
ID : 11905102
Organisme : Natural Science Foundation of Hunan Province
ID : 2020JJ5499
Organisme : Education Department of Hunan Province
ID : 18B268

Références

Phys Med Biol. 2015 Jun 7;60(11):4383-98
pubmed: 25985207
Sensors (Basel). 2016 Apr 28;16(5):
pubmed: 27136556
Opt Express. 2021 Oct 25;29(22):34913-34925
pubmed: 34808940

Auteurs

Yongchao Han (Y)

China Institute of Atomic Energy, Beijing 102413, China.

Shoulong Xu (S)

School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China.

Yang Liu (Y)

School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Ling Xu (L)

China Institute of Atomic Energy, Beijing 102413, China.

Dawei Gong (D)

School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Zhiwei Qin (Z)

School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China.

Hanfeng Dong (H)

School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China.

Huaiqing Yang (H)

School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China.

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Classifications MeSH