Evidence map›Paper›PMID 35336450›Full record

ArticleSensors (Basel, Switzerland)2022

Strong Radiation Field Online Detection and Monitoring System with Camera.

Yongchao Han, Shoulong Xu, Yang Liu, Ling Xu, Dawei Gong, Zhiwei Qin, Hanfeng Dong, Huaiqing Yang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 62% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Yongchao HanChina Institute of Atomic Energy, Beijing 102413, China.
Shoulong XuSchool of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China.ORCID 0000-0002-6614-9639
Yang LiuSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Ling XuChina Institute of Atomic Energy, Beijing 102413, China.
Dawei GongSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Zhiwei QinSchool of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China.
Hanfeng DongSchool of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China.
Huaiqing YangSchool of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China.
University of South China · CNChina Institute of Atomic Energy · CNUniversity of Electronic Science and Technology of China · CN

Funding

Education Department of Hunan Province 18B268General nuclear safety technology xxx080202National Natural Science Foundation of China 11905102Natural Science Foundation of Hunan Province 2020JJ5499
6 · The paper itself

Abstract

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.

Indexed as

Gamma RayscameraCMOSmonitoringmonolithic active-pixel sensorsonline radiation detectionstrong radiation field

Identifiers

PMID35336450
PMCPMC8955199
OpenAlexW4220663903

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.