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Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System
In recent years, weigh-in-motion systems based on embedded sensor networks have received a lot of attention. However, how to improve the accuracy of multi-sensor weigh-in-motion (WIM) systems while keeping costs low remains a challenge. In this paper, a numerical simulation method is presented to an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163285/ https://www.ncbi.nlm.nih.gov/pubmed/30213029 http://dx.doi.org/10.3390/s18093044 |
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author | Qin, Tianhao Lin, Mengxiang Cao, Ming Fu, Kaiya Ding, Rong |
author_facet | Qin, Tianhao Lin, Mengxiang Cao, Ming Fu, Kaiya Ding, Rong |
author_sort | Qin, Tianhao |
collection | PubMed |
description | In recent years, weigh-in-motion systems based on embedded sensor networks have received a lot of attention. However, how to improve the accuracy of multi-sensor weigh-in-motion (WIM) systems while keeping costs low remains a challenge. In this paper, a numerical simulation method is presented to analyze the relationship between sensor location and the accuracy of static weight estimation. The finite element model of a WIM system is developed, which consists of three parts: a pavement model, a moving load model and two types of sensor models. Analysis of simulation results shows that the ability of sensing dynamic load is closely related to the installation depth of sensors and pavement material. Moreover, the distance between the moving wheel and sensors has a great impact on estimating performance. Gaussian curve fitting could be used to reduce weighing error within a limited range. Our work suggests that much more attention should be paid to the design of the sensor layout of a WIM system. |
format | Online Article Text |
id | pubmed-6163285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61632852018-10-10 Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System Qin, Tianhao Lin, Mengxiang Cao, Ming Fu, Kaiya Ding, Rong Sensors (Basel) Article In recent years, weigh-in-motion systems based on embedded sensor networks have received a lot of attention. However, how to improve the accuracy of multi-sensor weigh-in-motion (WIM) systems while keeping costs low remains a challenge. In this paper, a numerical simulation method is presented to analyze the relationship between sensor location and the accuracy of static weight estimation. The finite element model of a WIM system is developed, which consists of three parts: a pavement model, a moving load model and two types of sensor models. Analysis of simulation results shows that the ability of sensing dynamic load is closely related to the installation depth of sensors and pavement material. Moreover, the distance between the moving wheel and sensors has a great impact on estimating performance. Gaussian curve fitting could be used to reduce weighing error within a limited range. Our work suggests that much more attention should be paid to the design of the sensor layout of a WIM system. MDPI 2018-09-12 /pmc/articles/PMC6163285/ /pubmed/30213029 http://dx.doi.org/10.3390/s18093044 Text en © 2018 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 Qin, Tianhao Lin, Mengxiang Cao, Ming Fu, Kaiya Ding, Rong Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System |
title | Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System |
title_full | Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System |
title_fullStr | Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System |
title_full_unstemmed | Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System |
title_short | Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System |
title_sort | effects of sensor location on dynamic load estimation in weigh-in-motion system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6163285/ https://www.ncbi.nlm.nih.gov/pubmed/30213029 http://dx.doi.org/10.3390/s18093044 |
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