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Method for Localization Aerial Target in AC Electric Field Based on Sensor Circular Array

The traditional method of using electric field sensors to realize early warning of electric power safety distance cannot measure the distance of dangerous sources. Therefore, aiming at the electric field with a frequency of 50 to 60 Hz (AC electric field), a new method for localization of aerial AC...

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Detalles Bibliográficos
Autores principales: Zhang, Wenbin, Li, Peng, Zhou, Nianrong, Suo, Chunguang, Chen, Weiren, Wang, Yanyun, Zhao, Jiawen, Li, Yincheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146230/
https://www.ncbi.nlm.nih.gov/pubmed/32178311
http://dx.doi.org/10.3390/s20061585
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author Zhang, Wenbin
Li, Peng
Zhou, Nianrong
Suo, Chunguang
Chen, Weiren
Wang, Yanyun
Zhao, Jiawen
Li, Yincheng
author_facet Zhang, Wenbin
Li, Peng
Zhou, Nianrong
Suo, Chunguang
Chen, Weiren
Wang, Yanyun
Zhao, Jiawen
Li, Yincheng
author_sort Zhang, Wenbin
collection PubMed
description The traditional method of using electric field sensors to realize early warning of electric power safety distance cannot measure the distance of dangerous sources. Therefore, aiming at the electric field with a frequency of 50 to 60 Hz (AC electric field), a new method for localization of aerial AC target by the capacitive one-dimensional spherical electric field sensor circular array is studied. This method can directly calculate the distance, elevation, and azimuth of the detector from the dangerous source. By combining the measurement principle of the spherical electric field sensor and the plane circular array theory, a mathematical model for the localization of aerial targets in an AC electric field is established. An error model was established using Gaussian noise and the effects of different layout parameters on the localization error were simulated. Based on mutual interference between sensors, minimum induced charge, and localization error, an optimal model for sensor layout was established, and it was solved by using genetic algorithms. The optimization results show that when the number of sensors is 4, the array radius is 20 cm, and the sensor radius is 1.5 cm, the ranging error is 8.4%. The detector was developed based on the layout parameters obtained from the optimization results, and the localization method was experimentally verified at 10 and 35 kV alarm distances. The experimental results show that when the detector is located at 10 kV alarm distance, the distance error is 0.18 m, the elevation error is 6.8°, and the azimuth error is 4.57°, and when it is located at 35 kV alarm distance, the distance error is 0.2 m, the elevation error is 4.8°, and the azimuth error is 5.14°, which meets the safety distance warning requirements of 10 and 35 kV voltage levels.
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spelling pubmed-71462302020-04-15 Method for Localization Aerial Target in AC Electric Field Based on Sensor Circular Array Zhang, Wenbin Li, Peng Zhou, Nianrong Suo, Chunguang Chen, Weiren Wang, Yanyun Zhao, Jiawen Li, Yincheng Sensors (Basel) Article The traditional method of using electric field sensors to realize early warning of electric power safety distance cannot measure the distance of dangerous sources. Therefore, aiming at the electric field with a frequency of 50 to 60 Hz (AC electric field), a new method for localization of aerial AC target by the capacitive one-dimensional spherical electric field sensor circular array is studied. This method can directly calculate the distance, elevation, and azimuth of the detector from the dangerous source. By combining the measurement principle of the spherical electric field sensor and the plane circular array theory, a mathematical model for the localization of aerial targets in an AC electric field is established. An error model was established using Gaussian noise and the effects of different layout parameters on the localization error were simulated. Based on mutual interference between sensors, minimum induced charge, and localization error, an optimal model for sensor layout was established, and it was solved by using genetic algorithms. The optimization results show that when the number of sensors is 4, the array radius is 20 cm, and the sensor radius is 1.5 cm, the ranging error is 8.4%. The detector was developed based on the layout parameters obtained from the optimization results, and the localization method was experimentally verified at 10 and 35 kV alarm distances. The experimental results show that when the detector is located at 10 kV alarm distance, the distance error is 0.18 m, the elevation error is 6.8°, and the azimuth error is 4.57°, and when it is located at 35 kV alarm distance, the distance error is 0.2 m, the elevation error is 4.8°, and the azimuth error is 5.14°, which meets the safety distance warning requirements of 10 and 35 kV voltage levels. MDPI 2020-03-12 /pmc/articles/PMC7146230/ /pubmed/32178311 http://dx.doi.org/10.3390/s20061585 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Wenbin
Li, Peng
Zhou, Nianrong
Suo, Chunguang
Chen, Weiren
Wang, Yanyun
Zhao, Jiawen
Li, Yincheng
Method for Localization Aerial Target in AC Electric Field Based on Sensor Circular Array
title Method for Localization Aerial Target in AC Electric Field Based on Sensor Circular Array
title_full Method for Localization Aerial Target in AC Electric Field Based on Sensor Circular Array
title_fullStr Method for Localization Aerial Target in AC Electric Field Based on Sensor Circular Array
title_full_unstemmed Method for Localization Aerial Target in AC Electric Field Based on Sensor Circular Array
title_short Method for Localization Aerial Target in AC Electric Field Based on Sensor Circular Array
title_sort method for localization aerial target in ac electric field based on sensor circular array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146230/
https://www.ncbi.nlm.nih.gov/pubmed/32178311
http://dx.doi.org/10.3390/s20061585
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