Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve

Electromagnetic geographic environment is closely related to human life. With continuous popularization of public infrastructures and daily electronic instruments, such as electric power communication systems and household appliances, electromagnetic radiation sources have increased sharply in the g...

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Autores principales: Yi Huang, Mengyi Wang, Qianqian Qiu, Lizhi Miao, Haiping Zhang, Jiarui Qin, Xiangqiang Min, Yehua Sheng
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/d9582dc3995f411f916c9ac70ae06b4a
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spelling oai:doaj.org-article:d9582dc3995f411f916c9ac70ae06b4a2021-11-29T00:56:56ZDetecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve1687-726810.1155/2021/8819402https://doaj.org/article/d9582dc3995f411f916c9ac70ae06b4a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8819402https://doaj.org/toc/1687-7268Electromagnetic geographic environment is closely related to human life. With continuous popularization of public infrastructures and daily electronic instruments, such as electric power communication systems and household appliances, electromagnetic radiation sources have increased sharply in the geographic environment, which leads to increasingly serious electromagnetic radiation pollution. Thus, it is significant to monitor, evaluate, and analyze the electromagnetic radiation condition and explore its changing law in the environment. However, the traditional monitoring method can only detect anomalies within certain frequencies in the fixed stations. To fill this gap, this research first develops a vehicle-mounted electromagnetic environment monitoring system to collect both spatial positioning data and electromagnetic data of the whole frequency range. The acquired data are then used to construct the location-based frequency-intensity curve to reflect the variation of electromagnetic radiation at different frequency ranges. On this basis, a curve similarity measurement method is introduced to analyze the similarity of different curves, which is effective to diagnose time-varying sources from both global and local perspectives. This research provides a real-time mobile monitoring method, which is significant to know the dynamic variation of local electromagnetic environment and promotes subsequent comprehensive geographic analyses.Yi HuangMengyi WangQianqian QiuLizhi MiaoHaiping ZhangJiarui QinXiangqiang MinYehua ShengHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
spellingShingle Technology (General)
T1-995
Yi Huang
Mengyi Wang
Qianqian Qiu
Lizhi Miao
Haiping Zhang
Jiarui Qin
Xiangqiang Min
Yehua Sheng
Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve
description Electromagnetic geographic environment is closely related to human life. With continuous popularization of public infrastructures and daily electronic instruments, such as electric power communication systems and household appliances, electromagnetic radiation sources have increased sharply in the geographic environment, which leads to increasingly serious electromagnetic radiation pollution. Thus, it is significant to monitor, evaluate, and analyze the electromagnetic radiation condition and explore its changing law in the environment. However, the traditional monitoring method can only detect anomalies within certain frequencies in the fixed stations. To fill this gap, this research first develops a vehicle-mounted electromagnetic environment monitoring system to collect both spatial positioning data and electromagnetic data of the whole frequency range. The acquired data are then used to construct the location-based frequency-intensity curve to reflect the variation of electromagnetic radiation at different frequency ranges. On this basis, a curve similarity measurement method is introduced to analyze the similarity of different curves, which is effective to diagnose time-varying sources from both global and local perspectives. This research provides a real-time mobile monitoring method, which is significant to know the dynamic variation of local electromagnetic environment and promotes subsequent comprehensive geographic analyses.
format article
author Yi Huang
Mengyi Wang
Qianqian Qiu
Lizhi Miao
Haiping Zhang
Jiarui Qin
Xiangqiang Min
Yehua Sheng
author_facet Yi Huang
Mengyi Wang
Qianqian Qiu
Lizhi Miao
Haiping Zhang
Jiarui Qin
Xiangqiang Min
Yehua Sheng
author_sort Yi Huang
title Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve
title_short Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve
title_full Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve
title_fullStr Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve
title_full_unstemmed Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve
title_sort detecting electromagnetic geographical environment changes based on the frequency-intensity curve
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/d9582dc3995f411f916c9ac70ae06b4a
work_keys_str_mv AT yihuang detectingelectromagneticgeographicalenvironmentchangesbasedonthefrequencyintensitycurve
AT mengyiwang detectingelectromagneticgeographicalenvironmentchangesbasedonthefrequencyintensitycurve
AT qianqianqiu detectingelectromagneticgeographicalenvironmentchangesbasedonthefrequencyintensitycurve
AT lizhimiao detectingelectromagneticgeographicalenvironmentchangesbasedonthefrequencyintensitycurve
AT haipingzhang detectingelectromagneticgeographicalenvironmentchangesbasedonthefrequencyintensitycurve
AT jiaruiqin detectingelectromagneticgeographicalenvironmentchangesbasedonthefrequencyintensitycurve
AT xiangqiangmin detectingelectromagneticgeographicalenvironmentchangesbasedonthefrequencyintensitycurve
AT yehuasheng detectingelectromagneticgeographicalenvironmentchangesbasedonthefrequencyintensitycurve
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