2021
DOI: 10.1155/2021/8898893
|View full text |Cite
|
Sign up to set email alerts
|

Design and Application of Risk Early Warning System for Subway Station Construction Based on Building Information Modeling Real‐Time Model

Abstract: The problems faced by subway stations in the construction process are more complex than those by overground buildings. Therefore, the construction risk for such structures is highly unpredictable and the risk management is difficult. Building information modeling (BIM) technology has strong visualization, simulation, and integration characteristics that make it conducive to the development of a risk early warning system for underground engineering. According to the functional requirements of risk early warning… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 10 publications
0
2
0
1
Order By: Relevance
“…In coal mining enterprises, risk early warning is the key to advance the risk control gateway. The safety early warning model of coal face was established based on FCM (fuzzy clustering model) and GA-BP (genetic algorithm-back propagation neural network) [41]. The early warning model of coal and gas outbursts and human factor risk was established based on data mining [42,43].…”
Section: Introductionmentioning
confidence: 99%
“…In coal mining enterprises, risk early warning is the key to advance the risk control gateway. The safety early warning model of coal face was established based on FCM (fuzzy clustering model) and GA-BP (genetic algorithm-back propagation neural network) [41]. The early warning model of coal and gas outbursts and human factor risk was established based on data mining [42,43].…”
Section: Introductionmentioning
confidence: 99%
“…As for the underpass construction of nearby existing sensitive buildings, domestic and foreign scholars have carried out a wealth of research work in the field monitoring [3,4], numerical simulation [1,5,6], theoretical analysis [7][8][9][10], and other aspects. For example, Wang [11] studied the advantages and disadvantages of the underpassing scheme of jacking frame culvert and the underpassing scheme of shallow-buried tunnels in the project of Shanxi Yushen Expressway underpassing the Qin Great Wall ruins and pointed out that the shallow-buried underexcavation method can effectively restrain the deformation of the surrounding rock.…”
Section: Introductionmentioning
confidence: 99%
“…Aprendizado de máquina foi utilizado para prever os parâmetros-chave e tecnologias de detecção de múltiplas fontes foram incorporadas, englobando veículo aéreo não tripulado (VANT), detecção de domínio de frequência óptica, detecção de sistema micro eletromecânico e visão de máquina para supervisionamento, sem fio e de alta precisão, em tempo real da fundação. Por ter vários tipos de sensores, foi relatado um alto custo para o desenvolvimento do gêmeo digital Tang et al (2021),. também focaram em um feedback proativo para parâmetros do solo na fundação de uma estação de metrô e, através de tecnologias como scanner a laser 3D e internet das coisas, o nível de risco era alertado por uma escala de cores no modelo BIM.…”
unclassified