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Developing an Intelligent Monitoring Technology for Airport Stone Column Machines
Most of the construction machinery for vibro-sinking stone columns, which are widely used in China, needs to be improved in terms of degree of automation. Engineering quality control is mainly carried out post-inspection; consequently, it is difficult to control the construction quality in real time...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308931/ https://www.ncbi.nlm.nih.gov/pubmed/32481485 http://dx.doi.org/10.3390/s20113050 |
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author | Tang, Ke Yuan, Haiwen Lv, Jianxun Chen, Fengchen |
author_facet | Tang, Ke Yuan, Haiwen Lv, Jianxun Chen, Fengchen |
author_sort | Tang, Ke |
collection | PubMed |
description | Most of the construction machinery for vibro-sinking stone columns, which are widely used in China, needs to be improved in terms of degree of automation. Engineering quality control is mainly carried out post-inspection; consequently, it is difficult to control the construction quality in real time. According to the construction characteristics of traditional stone column machines, we established the theory and model for the real-time monitoring of stone column construction, as well as put forward an intelligent monitoring method for stone column machines. With the comprehensive application of critical technologies such as the Global Navigation Satellite System (GNSS) measurement technology, laser ranging sensors, and massive data processing, an intelligent data acquisition technique and associated monitoring equipment for stone column construction machines are developed. The data acquisition and storage of crucial construction parameters, such as pile depth, pile point co-ordinates, bearing layer current, and reverse insertion times, are realized. A large number of actual construction data are collected and the construction quality parameters of stone column machines are obtained. By comparison with third-party detection data, it is verified that the intelligent monitoring technique for stone column machines proposed in this paper is feasible. |
format | Online Article Text |
id | pubmed-7308931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73089312020-06-25 Developing an Intelligent Monitoring Technology for Airport Stone Column Machines Tang, Ke Yuan, Haiwen Lv, Jianxun Chen, Fengchen Sensors (Basel) Article Most of the construction machinery for vibro-sinking stone columns, which are widely used in China, needs to be improved in terms of degree of automation. Engineering quality control is mainly carried out post-inspection; consequently, it is difficult to control the construction quality in real time. According to the construction characteristics of traditional stone column machines, we established the theory and model for the real-time monitoring of stone column construction, as well as put forward an intelligent monitoring method for stone column machines. With the comprehensive application of critical technologies such as the Global Navigation Satellite System (GNSS) measurement technology, laser ranging sensors, and massive data processing, an intelligent data acquisition technique and associated monitoring equipment for stone column construction machines are developed. The data acquisition and storage of crucial construction parameters, such as pile depth, pile point co-ordinates, bearing layer current, and reverse insertion times, are realized. A large number of actual construction data are collected and the construction quality parameters of stone column machines are obtained. By comparison with third-party detection data, it is verified that the intelligent monitoring technique for stone column machines proposed in this paper is feasible. MDPI 2020-05-28 /pmc/articles/PMC7308931/ /pubmed/32481485 http://dx.doi.org/10.3390/s20113050 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 Tang, Ke Yuan, Haiwen Lv, Jianxun Chen, Fengchen Developing an Intelligent Monitoring Technology for Airport Stone Column Machines |
title | Developing an Intelligent Monitoring Technology for Airport Stone Column Machines |
title_full | Developing an Intelligent Monitoring Technology for Airport Stone Column Machines |
title_fullStr | Developing an Intelligent Monitoring Technology for Airport Stone Column Machines |
title_full_unstemmed | Developing an Intelligent Monitoring Technology for Airport Stone Column Machines |
title_short | Developing an Intelligent Monitoring Technology for Airport Stone Column Machines |
title_sort | developing an intelligent monitoring technology for airport stone column machines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308931/ https://www.ncbi.nlm.nih.gov/pubmed/32481485 http://dx.doi.org/10.3390/s20113050 |
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