Retracted: Internet of Things Health Detection System in Steel Structure Construction Management
In recent years, the development of computer network technology, especially the hot Internet of things, has brought great convenience and comfort to people’s life. Steel structure is also more and more widely used in the field of construction in China. The purpose of this study is to expl...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Online Access: | https://ieeexplore.ieee.org/document/9142207/ |
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| _version_ | 1841557046066937856 |
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| author | Qinglin Liu Yongjiang Zhu Xiongzhou Yuan Jian Zhang Rui Wu Qianwen Dou Song Liu |
| author_facet | Qinglin Liu Yongjiang Zhu Xiongzhou Yuan Jian Zhang Rui Wu Qianwen Dou Song Liu |
| author_sort | Qinglin Liu |
| collection | DOAJ |
| description | In recent years, the development of computer network technology, especially the hot Internet of things, has brought great convenience and comfort to people’s life. Steel structure is also more and more widely used in the field of construction in China. The purpose of this study is to explore the application of Internet of things health monitoring system in steel structure construction management. In this study, through the use of example analysis, comprehensive data analysis and other methods, combined with steel structure health monitoring system and construction process management analysis. The results show that the relative deviation of the data within 1–33 is mostly less than 10%, but the relative deviation of 34–40 suddenly increases to 60%, and the actual data suddenly decreases, resulting in the deviation of about 50%. It is concluded that the time series model established in this study can objectively reflect the change trend and law of strain data, has certain prediction accuracy, and has certain value significance for monitoring data analysis and construction management of steel building structures. |
| format | Article |
| id | doaj-art-cb51ed4c169044d58a8283df072fc176 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-cb51ed4c169044d58a8283df072fc1762025-01-07T00:00:50ZengIEEEIEEE Access2169-35362020-01-01814716214717210.1109/ACCESS.2020.30089169142207Retracted: Internet of Things Health Detection System in Steel Structure Construction ManagementQinglin Liu0Yongjiang Zhu1https://orcid.org/0000-0003-4334-3583Xiongzhou Yuan2Jian Zhang3Rui Wu4Qianwen Dou5Song Liu6School of Traffic and Environment, Shenzhen Institute of Information Technology, Shenzhen, ChinaTalent Exchange Center, Chongqing University, Chongqing, ChinaSchool of Traffic and Environment, Shenzhen Institute of Information Technology, Shenzhen, ChinaInstitute of Architecture Design and Research, Shenzhen University, Shenzhen, ChinaSchool of Economics and Business Administration, Chongqing University, Chongqing, ChinaSchool of Civil Engineering, University of Science and Technology Liaoning, Anshan, ChinaSchool of Civil Engineering, University of Science and Technology Liaoning, Anshan, ChinaIn recent years, the development of computer network technology, especially the hot Internet of things, has brought great convenience and comfort to people’s life. Steel structure is also more and more widely used in the field of construction in China. The purpose of this study is to explore the application of Internet of things health monitoring system in steel structure construction management. In this study, through the use of example analysis, comprehensive data analysis and other methods, combined with steel structure health monitoring system and construction process management analysis. The results show that the relative deviation of the data within 1–33 is mostly less than 10%, but the relative deviation of 34–40 suddenly increases to 60%, and the actual data suddenly decreases, resulting in the deviation of about 50%. It is concluded that the time series model established in this study can objectively reflect the change trend and law of strain data, has certain prediction accuracy, and has certain value significance for monitoring data analysis and construction management of steel building structures.https://ieeexplore.ieee.org/document/9142207/ |
| spellingShingle | Qinglin Liu Yongjiang Zhu Xiongzhou Yuan Jian Zhang Rui Wu Qianwen Dou Song Liu Retracted: Internet of Things Health Detection System in Steel Structure Construction Management IEEE Access |
| title | Retracted: Internet of Things Health Detection System in Steel Structure Construction Management |
| title_full | Retracted: Internet of Things Health Detection System in Steel Structure Construction Management |
| title_fullStr | Retracted: Internet of Things Health Detection System in Steel Structure Construction Management |
| title_full_unstemmed | Retracted: Internet of Things Health Detection System in Steel Structure Construction Management |
| title_short | Retracted: Internet of Things Health Detection System in Steel Structure Construction Management |
| title_sort | retracted internet of things health detection system in steel structure construction management |
| url | https://ieeexplore.ieee.org/document/9142207/ |
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