Research on Remote Automatic Monitoring Method of Atmospheric Salt Fog Concentration Based on Optical Sensor

The traditional automatic monitoring method of salt spray concentration has a weak anti-interference ability, which affects the monitoring accuracy. Therefore, a remote automatic monitoring method of atmospheric salt fog concentration based on optical sensor is designed. Determine the optical power...

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Main Authors: Shen Hao, Liu Hui, Jia Ran, Zhou Chao
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/30/e3sconf_eppct2023_03023.pdf
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author Shen Hao
Liu Hui
Jia Ran
Zhou Chao
author_facet Shen Hao
Liu Hui
Jia Ran
Zhou Chao
author_sort Shen Hao
collection DOAJ
description The traditional automatic monitoring method of salt spray concentration has a weak anti-interference ability, which affects the monitoring accuracy. Therefore, a remote automatic monitoring method of atmospheric salt fog concentration based on optical sensor is designed. Determine the optical power loss of salt fog remote monitoring in atmospheric environment, and obtain the relationship between optical power loss and salt density, environmental humidity. Based on optical sensing, a quartz rod monitoring and early warning model under high salt fog environment is established to increase the surface area of the quartz rod, thus improving the anti-interference ability of the remote automatic monitoring device. The simulation experiment verifies that the monitoring method has higher monitoring accuracy and can be applied in real life.
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spelling doaj.art-6e893e4282674930afda63fb7fc8bcdf2023-06-09T09:12:44ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013930302310.1051/e3sconf/202339303023e3sconf_eppct2023_03023Research on Remote Automatic Monitoring Method of Atmospheric Salt Fog Concentration Based on Optical SensorShen Hao0Liu Hui1Jia Ran2Zhou Chao3State Grid Shandong Electric Power Research InstituteState Grid Shandong Electric Power Research InstituteState Grid Shandong Electric Power Research InstituteState Grid Shandong Electric Power Research InstituteThe traditional automatic monitoring method of salt spray concentration has a weak anti-interference ability, which affects the monitoring accuracy. Therefore, a remote automatic monitoring method of atmospheric salt fog concentration based on optical sensor is designed. Determine the optical power loss of salt fog remote monitoring in atmospheric environment, and obtain the relationship between optical power loss and salt density, environmental humidity. Based on optical sensing, a quartz rod monitoring and early warning model under high salt fog environment is established to increase the surface area of the quartz rod, thus improving the anti-interference ability of the remote automatic monitoring device. The simulation experiment verifies that the monitoring method has higher monitoring accuracy and can be applied in real life.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/30/e3sconf_eppct2023_03023.pdf
spellingShingle Shen Hao
Liu Hui
Jia Ran
Zhou Chao
Research on Remote Automatic Monitoring Method of Atmospheric Salt Fog Concentration Based on Optical Sensor
E3S Web of Conferences
title Research on Remote Automatic Monitoring Method of Atmospheric Salt Fog Concentration Based on Optical Sensor
title_full Research on Remote Automatic Monitoring Method of Atmospheric Salt Fog Concentration Based on Optical Sensor
title_fullStr Research on Remote Automatic Monitoring Method of Atmospheric Salt Fog Concentration Based on Optical Sensor
title_full_unstemmed Research on Remote Automatic Monitoring Method of Atmospheric Salt Fog Concentration Based on Optical Sensor
title_short Research on Remote Automatic Monitoring Method of Atmospheric Salt Fog Concentration Based on Optical Sensor
title_sort research on remote automatic monitoring method of atmospheric salt fog concentration based on optical sensor
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/30/e3sconf_eppct2023_03023.pdf
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