Engineering project management based on multiple regression equation and building information modelling technology
To realise the optimisation of Building Information Modelling (BIM) technical engineering project management, the paper conducts data investigation and analysis of the technical problem which deals with a specific power grid tunnel construction. This article uses BIM to sample considerable data info...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Sciendo
2021-12-01
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Series: | Applied Mathematics and Nonlinear Sciences |
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Online Access: | https://doi.org/10.2478/amns.2021.1.00087 |
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author | Yu Chunyi Abdulrazzqa Mohammed |
author_facet | Yu Chunyi Abdulrazzqa Mohammed |
author_sort | Yu Chunyi |
collection | DOAJ |
description | To realise the optimisation of Building Information Modelling (BIM) technical engineering project management, the paper conducts data investigation and analysis of the technical problem which deals with a specific power grid tunnel construction. This article uses BIM to sample considerable data information for the construction and management of power grid tunnels. According to the geological factors of rock strength in construction, the fuzzy information fusion method is used to carry out the feature fusion and adaptive scheduling of management information. We will extract the characteristics of each surrounding rock category's geological BIM information association rules and use the multiple regression analysis methods to carry out the BIM information fusion and adaptive scheduling of the tunnel construction project management. The study results confirm the conclusion that the predicted scores are in good agreement with the geological scores on site. |
first_indexed | 2024-03-13T04:41:50Z |
format | Article |
id | doaj.art-d4c023f054264fb0a06da83efff324d0 |
institution | Directory Open Access Journal |
issn | 2444-8656 |
language | English |
last_indexed | 2024-03-13T04:41:50Z |
publishDate | 2021-12-01 |
publisher | Sciendo |
record_format | Article |
series | Applied Mathematics and Nonlinear Sciences |
spelling | doaj.art-d4c023f054264fb0a06da83efff324d02023-06-19T05:54:31ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562021-12-017140541410.2478/amns.2021.1.00087Engineering project management based on multiple regression equation and building information modelling technologyYu Chunyi0Abdulrazzqa Mohammed1Chongqing Jianzhu College, Chongqing, 400072, ChinaDepartment of Business Administration, Faculty of Administration Sciences, Applied Science University, Al Eker, Kingdom of BahrainTo realise the optimisation of Building Information Modelling (BIM) technical engineering project management, the paper conducts data investigation and analysis of the technical problem which deals with a specific power grid tunnel construction. This article uses BIM to sample considerable data information for the construction and management of power grid tunnels. According to the geological factors of rock strength in construction, the fuzzy information fusion method is used to carry out the feature fusion and adaptive scheduling of management information. We will extract the characteristics of each surrounding rock category's geological BIM information association rules and use the multiple regression analysis methods to carry out the BIM information fusion and adaptive scheduling of the tunnel construction project management. The study results confirm the conclusion that the predicted scores are in good agreement with the geological scores on site.https://doi.org/10.2478/amns.2021.1.00087multiple regression methodbim technology constructionengineering project managementsurrounding rock quality prediction62j05 |
spellingShingle | Yu Chunyi Abdulrazzqa Mohammed Engineering project management based on multiple regression equation and building information modelling technology Applied Mathematics and Nonlinear Sciences multiple regression method bim technology construction engineering project management surrounding rock quality prediction 62j05 |
title | Engineering project management based on multiple regression equation and building information modelling technology |
title_full | Engineering project management based on multiple regression equation and building information modelling technology |
title_fullStr | Engineering project management based on multiple regression equation and building information modelling technology |
title_full_unstemmed | Engineering project management based on multiple regression equation and building information modelling technology |
title_short | Engineering project management based on multiple regression equation and building information modelling technology |
title_sort | engineering project management based on multiple regression equation and building information modelling technology |
topic | multiple regression method bim technology construction engineering project management surrounding rock quality prediction 62j05 |
url | https://doi.org/10.2478/amns.2021.1.00087 |
work_keys_str_mv | AT yuchunyi engineeringprojectmanagementbasedonmultipleregressionequationandbuildinginformationmodellingtechnology AT abdulrazzqamohammed engineeringprojectmanagementbasedonmultipleregressionequationandbuildinginformationmodellingtechnology |