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<p>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.</p>
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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.

Engineering project management based on multiple regression equation and building information modelling technology

Department of Business Administration, Faculty of Administration Sciences

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

To realise the optimisation of Building Information Modelling (BIM) technical engineering project management, the paper conducts data investigation and...

Engineering project management based on multiple regression equation and building information modelling technology

Online veröffentlicht: 27. Dez. 2021

Seitenbereich: 405 - 414

Eingereicht: 16. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00087

Schlüsselwörter
multiple regression method, BIM technology construction, engineering project management, surrounding rock quality prediction

© 2021 Chunyi Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Engineering project management based on multiple regression equation and building information modelling technology

Online veröffentlicht: 27. Dez. 2021

Seitenbereich: 405 - 414

Eingereicht: 16. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.1.00087

Schlüsselwörtermultiple regression method, BIM technology construction, engineering project management, surrounding rock quality prediction

© 2021 Chunyi Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
multiple regression method, BIM technology construction, engineering project management, surrounding rock quality prediction