E3S Web Conf.
Volume 257, 20215th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|Number of page(s)||7|
|Section||Research on Energy Consumption and Energy Industry Benefit|
|Published online||12 May 2021|
Research on risk evaluation of BIM application in military engineering project management
School of Equipment Management and UAV Engineering Air Force Engineering University Xi an, Shan xi province
2 School of Equipment Management and UAV Engineering Air Force Engineering University Xi an, Shan xi province
3 School of Equipment Management and UAV Engineering Air Force Engineering University Xi an, Shan xi province
4 School of Equipment Management and UAV Engineering Air Force Engineering University Xi an, Shan xi province
a* E-mail: email@example.com Tel: 18148301552
With the deepening of the reform of national defense and the military, the defense strength of China has been greatly enhanced, and the number of military engineering projects has also increased year by year. The complexity and large-scale construction of engineering projects make it difficult for the traditional military’s engineering project management to meet current needs. This puts forward higher requirements for the military’s engineering project management ideas and methods. The refined and intelligent military engineering project management has become our military’s Matters that need to be focused on. Building Information Modeling (BIM) is a hot technology and a new production management method in the current construction industry, which provides us with a more advanced and intelligent military engineering construction project management idea. This paper identifies the risks of applying BIM technology to military engineering projects by consulting a large amount of data, and uses SPSS software to conduct neural network analysis of the identified risks and proposes corresponding measures to promote the extensive use of BIM in military engineering project management.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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