Data Mining based BIM Technology in Tunnel Construction Simulation Modeling

被引:0
作者
Qu, Wanbo [1 ]
机构
[1] Chongqing Vocat Inst Engn, Chongqing 402260, Peoples R China
来源
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021) | 2021年
关键词
BIM; Data Mining; Visual Information; Tunnel Construction; System Modelling; IDENTIFICATION;
D O I
10.1109/ICICT50816.2021.9358534
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Application research of the BIM technology in the tunnel construction simulation modeling is conducted in this paper. The BIM model is a total brand-new graphic model that contains information. By analyzing the vulnerabilities of each component, an index system for the vulnerability evaluation is constructed; vulnerability is determined by the combined effect of many factors only by analyzing and also sorting out the interrelationship between factors can grasp the internal laws of the system and construct a hierarchical system of vulnerability indicators. By using the data mining technology and multimedia assisted BIM, the proposed system is constructed. The experiment results have proven the performance of the model.
引用
收藏
页码:1194 / 1197
页数:4
相关论文
共 18 条
[1]   Identification of significant features and data mining techniques in predicting heart disease [J].
Amin, Mohammad Shafenoor ;
Chiam, Yin Kia ;
Varathan, Kasturi Dewi .
TELEMATICS AND INFORMATICS, 2019, 36 :82-93
[2]   Pattern Mining from Big IoT Data with Fog Computing: Models, Issues, and Research Perspectives [J].
Braun, Peter ;
Cuzzocrea, Alfredo ;
Leung, Carson K. ;
Pazdor, Adam G. M. ;
Souza, Joglas ;
Tanbeer, Syed K. .
2019 19TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID), 2019, :584-591
[3]   Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China) [J].
Chen, Wei ;
Yan, Xusheng ;
Zhao, Zhou ;
Hong, Haoyuan ;
Bui, Dieu Tien ;
Pradhan, Biswajeet .
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2019, 78 (01) :247-266
[4]   Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018 [J].
de Souza, Jovani Taveira ;
de Francisco, Antonio Carlos ;
Piekarski, Cassiano Moro ;
do Prado, Guilherme Francisco .
SUSTAINABILITY, 2019, 11 (04)
[5]   Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales [J].
Fan, Chengliang ;
Ding, Yunfei ;
Liao, Yundan .
SUSTAINABLE CITIES AND SOCIETY, 2019, 51
[6]  
Giladi N., 2020, ICLR, P1
[7]   Counting-based secret sharing technique for multimedia applications [J].
Gutub, Adnan ;
Al-Juaid, Nouf ;
Khan, Esam .
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (05) :5591-5619
[8]   Predictors of anti-TNF treatment failure in anti-TNF-naive patients with active luminal Crohn's disease: a prospective, multicentre, cohort study [J].
Kennedy, Nicholas A. ;
Heap, Graham A. ;
Green, Harry D. ;
Hamilton, Benjamin ;
Bewshea, Claire ;
Walker, Gareth J. ;
Thomas, Amanda ;
Nice, Rachel ;
Perry, Mandy H. ;
Bouri, Sonia ;
Chanchlani, Neil ;
Heerasing, Neel M. ;
Hendy, Peter ;
Lin, Simeng ;
Gaya, Daniel R. ;
Cummings, J. R. Fraser ;
Selinger, Christian P. ;
Lees, Charlie W. ;
Hart, Ailsa L. ;
Parkes, Miles ;
Sebastian, Shaji ;
Mansfield, John C. ;
Irving, Peter M. ;
Lindsay, James ;
Russell, Richard K. ;
McDonald, Timothy J. ;
McGovern, Dermot ;
Goodhand, James R. ;
Ahmad, Tariq .
LANCET GASTROENTEROLOGY & HEPATOLOGY, 2019, 4 (05) :341-353
[9]   Construction of marine ship automatic identification system data mining platform based on big data [J].
Lv, Shenmin .
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2020, 38 (02) :1249-1255
[10]   Comparison of dragonfly algorithm and Harris hawks optimization evolutionary data mining techniques for the assessment of bearing capacity of footings over two-layer foundation soils [J].
Moayedi, Hossein ;
Abdullahi, Mu'azu Mohammed ;
Nguyen, Hoang ;
Rashid, Ahmad Safuan A. .
ENGINEERING WITH COMPUTERS, 2021, 37 (01) :437-447