BIM-based optimization of camera placement for indoor construction monitoring considering the construction schedule

2021 ◽  
Vol 130 ◽  
pp. 103825
Author(s):  
Xinyang Chen ◽  
Yifan Zhu ◽  
Hainan Chen ◽  
Yewei Ouyang ◽  
Xiaowei Luo ◽  
...  
Keyword(s):  
Camera Placement ◽  
Construction Monitoring ◽  
Construction Schedule

SQIRTS - an on-site stormwater treatment and reuse approach to sustainable water management in Sydney

2002 ◽  
Vol 46 (6-7) ◽  
pp. 151-158 ◽  
Author(s):  
L. Dallmer
Keyword(s):  
Water Management ◽  
Best Practice ◽  
Monitoring Program ◽  
City Council ◽  
Stormwater Treatment ◽  
Stormwater Quality ◽  
Construction Monitoring ◽  
Sustainable Water Management ◽  
Management Approaches ◽  
Main Components

This paper describes part of a program undertaken by South Sydney City Council to promote sustainable water management The aim of the project, named SQIRTS (Stormwater Quality Improvement & Reuse Treatment Scheme) was to demonstrate best-practice water management approaches, to learn from the process of implementing these, and to encourage the further use of these technologies. It comprises three main components located in a suburban park: a gross pollutant trap (GPT), a stormwater reuse system, and interpretative artworks that aim to educate and interpret the water processes within the park. Results from the pre-construction monitoring program are presented.

scholarly journals Construction Monitoring and Numerical Simulation of Water-Rich Tuff Soft Rock Tunnel

2020 ◽  
Vol 455 ◽  
pp. 012163
Author(s):  
Fangliang Chen ◽  
Kaihua Zeng ◽  
Xuejun Li ◽  
Manqing Xu ◽  
Hongtao Dai
Keyword(s):  
Numerical Simulation ◽  
Soft Rock ◽  
Construction Monitoring ◽  
Rock Tunnel

Optimal camera placement for total coverage

2009 ◽  
Author(s):  
J.-J. Gonzalez-Barbosa ◽  
T. Garcia-Ramirez ◽  
J. Salas ◽  
J.-B. Hurtado-Ramos ◽  
J.-d.-J. Rico-Jimenez
Keyword(s):  
Camera Placement ◽  
Total Coverage

Prediction of Construction Schedule Based on BP Neural Network

2013 ◽  
Vol 405-408 ◽  
pp. 3423-3428
Author(s):  
Zhao Lin Li ◽  
Guo Zhi Zhang
Keyword(s):  
Neural Network ◽  
Project Management ◽  
Bp Neural Network ◽  
Linear Method ◽  
Schedule Control ◽  
Construction Schedule

Schedule control is the major issue in project management, and to predict the construction schedule effectively is important practically. The article mainly predicts the schedule of a project based on BP neural network. The result shows that the predicted value is more accurate than the value calculated by linear method.

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