Abstract
Large-scale buildings have been leading the application of BIM technology for progress management. However, the progress management of the substation is still relying on manual handwritten records, which will delay the owner’s understanding of the construction schedule from the actual date. Delay of the construction project progress phenomenon is common. This study reviewed for BIM and schedule management information collection technology, cited schedule management platform of Glodon. The platform use mobile devices to collect information on construction site, and then the platform could reflect the progress of each subdivisional work, eventually the information can be integrated into BIM platform + wisdom site, managers can not only distinguish real time schedule of the construction site in different colors in the BIM model, but also can see the data analysis, progress of the warning, the reasons of the sluggish progress, and decide what remedial measures should be taken and so on.
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References
Guo, Y.: Research on ontology-based BIM and IOT integrated system to assist green construction. 郭妍, 基于本体的 BIM 与 IOT 集成系统辅助绿色施工研究
Li, X., Jing, X., Zhang, Q.: Research on construction schedule management based on BIM stechnology. Procedia Eng. 174, 657–667 (2017)
Zheng, H.: Application of BIM technology in steel structure construction process. 郑皓予, BIM 技术在钢结构施工进程中的应用
Abdelrehim, M.: Interactive voice-visual tracking of construction as-built information. Ph.D. thesis, University of Waterloo, 168 p. (2013)
El-Omari, S., Moselhi, O.: Integrating automated data acquisition technologies for progress reporting of construction projects. Atomation Constr. 20(6), 699–705 (2011)
Hegazy, T., Abedl-Monem, M.: Email-based system for documenting construction as-built details. Automation Constr. 24, 130–137 (2012)
Schexnayder, C., Jaselskis, E.J., Fiori, C.: Tele-engineering from the Inka road. In: 9th LACCEI Latin American and Caribbean Conference, Engineering for a Smart Planet, Innovation, Information Technology and Computational Tools for Sustainable Development, Medellin, Colombia, 3–5 August, pp. WE1-1-WE1-10 (2011)
Ghanem, A.A.: Real-time construction project progress tracking: a hybrid model for wireless technologies selection, assessment, and implementation. Ph.D. thesis, The Florida State University, 217 p. (2007)
Navom, R., Sacks, R.: Assessing research issues in automated project performance control (APPC). Automation Constr. 16(4), 474–484 (2007)
Jiménez, A.R., Seco, F., Zampella, F., Prieto, J.C., Guevara, J.: Indoor localization of persons in AAL scenarios using an inertial measurement unit (IMU) and the signal strength (SS) from RFID tags. In: Chessa, S., Knauth, S. (eds.) EvAAL 2012. CCIS, vol. 362, pp. 32–51. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-37419-7_4
Cho, Y.K., Youn, J.H., Martinez, D.: Error modeling for an untethered ultra-wideband system for construction indoor asset tracking. Automation Constr. 19(1), 43–54 (2010)
El-Omari, S., Moselhi, O.: Integrating automated data acquisition technologies for progress reporting of construction projects. Automation Constr. 20(6), 699–705 (2011)
Memon, Z.A., Majid, M.Z.A., Mustaffar, M.: An automatic project progress monitoring model by integrating auto CAD and digital photos. In: Computing in Civil Engineering, June 2005
Turkan, Y., Bosché, F., Haas, C.T.: Toward automated earned value tracking using 3D imaging tools. J Constr. Eng. Manag. 139(4), 423–433 (2013)
Omar, T., Nehdi, M.L.: Data acquisition technologies for construction progress tracking. Automation Constr. 70, 143–155 (2016)
Teizer, J., Bosche, F., Caldas, C.H.: Real-time, three-dimensional object detection and modeling in construction. In: Proceedings of the 22nd International Symposium on Automation and Robotics in Construction, September 2005
Teizer, J.: 3D range imaging camera sensing for active safety in construction. J. Inf. Technol. Constr. 13, 103–117 (2008)
Zhu, Z., Brilakis, I.: Comparison of optical sensor-based spatial data collection techniques for civil infrastructure modeling. J. Comput. Civil Eng. 23(3), 170–177 (2009)
Rankohi, S., Waugh, L.: Review and analysis of augmented reality literature for construction industry. Vis. Eng. 1(1) (2013)
Brilakis, I., Fathi, H., Rashidi, A.: Progressive 3D reconstruction of infrastructure with videogrammetry. Automation Constr. 20(7), 884–895 (2011)
Ibrahim, Y.M., Kaka, A.P., Aouad, G.: As-built documentation of construction sequence by integrating virtual reality with time-lapse movies. Architectural Eng. Des. Manag. 4(2), 73–84 (2008)
Golparvar-Fard, M., Pena-Mora, F., Savarese, S.: D4AR-a4-dimensional augmented reality model for automating construction progress monitoring data collection processing and communication. J. Inf. Technol. Constr. 14, 129–153 (2009)
Arashpour, M., Wakefield, R., Blismas, N.: Autonomous production tracking for augmenting output in off-site construction. Automation Constr. 53, 13–21 (2015)
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Liu, R., Liu, F. (2020). Research on BIM and Mobile Equipment in Substation Construction Schedule Management. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. Cognition and Design. HCII 2020. Lecture Notes in Computer Science(), vol 12187. Springer, Cham. https://doi.org/10.1007/978-3-030-49183-3_5
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DOI: https://doi.org/10.1007/978-3-030-49183-3_5
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