2021, 13(3): 24-29. doi: 10.16670/j.cnki.cn11-5823/tu.2021.03.04
BIM语义丰富研究与应用综述
大连理工大学 建设管理系，大连 116024 |
A Review for Research and Application of Semantic Enrichment for BIM
Dalian University of Technology, Department of Construction Management, Dalian 116024, China |
引用本文:
姜韶华, 张博. BIM语义丰富研究与应用综述[J]. 土木建筑工程信息技术,
2021, 13(3): 24-29.
doi: 10.16670/j.cnki.cn11-5823/tu.2021.03.04
Citation:
Shaohua Jiang, Bo Zhang. A Review for Research and Application of Semantic Enrichment for BIM[J]. Journal of Information Technologyin Civil Engineering and Architecture,
2021, 13(3): 24-29.
doi: 10.16670/j.cnki.cn11-5823/tu.2021.03.04
摘要:近年来，随着BIM在建设项目管理中的应用不断深入，BIM在语义方面逐渐面临着更高的要求。BIM语义丰富已经逐渐成为当前研究热点，但目前仍缺乏关于BIM语义丰富的全面综述。因此，本文在广泛文献调研的基础上从方法和应用两个方面对BIM语义丰富进行了全面的回顾，梳理了BIM语义丰富研究涉及的关键技术及其应用现状，并分析和总结了现有研究的不足，为进一步开展BIM语义丰富相关研究及应用提供了参考。
Abstract: In recent years, as the application of BIM in construction project management continues to deepen, BIM is gradually facing higher requirements in terms of semantics. Semantic enrichment for BIM has gradually become a current research hotspot, but there is still a lack of comprehensive reviews on semantic enrichment for BIM. On the basis of extensive literature research, this paper conducts a comprehensive review of BIM semantic enrichment from two aspects: methods and applications, sorts out the key technologies involved in BIM semantic enrichment research and its application status, analyzes and summarizes existing research.The insufficiency of BIM provides a reference for further research and application of BIM semantic enrichment.
| [1] |
Obrock L S, Gülch E. First steps to automated interior reconstruction from semantically enriched point clouds and imagery[C]//International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018, 781-787. |
| [2] |
Babacan K, Chen L, Sohn G. Semantic segmentation of indoor point clouds using convolutional neural network[C]//ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017, 101-108. |
| [3] |
Belsky M, Sacks R, Brilakis I. Semantic Enrichment for Building Information Modeling[J]. Computer‐Aided Civil and Infrastructure Engineering, 2016, 31(4): 261-274.doi: 10.1111/mice.12128 |
| [4] |
Yin X, Liu H, Chen Y, et al. Building information modelling for off-site construction: Review and future directions[J]. Automation in Construction, 2019, 101: 72-91.doi: 10.1016/j.autcon.2019.01.010 |
| [5] |
Czerniawski T, Leite F. Automated digital modeling of existing buildings: A review of visual object recognition methods[J]. Automation in Construction, 2020, 113: 1-19. |
| [6] |
Pauwels P, Zhang S, Lee Y. Semantic web technologies in AEC industry: A literature overview[J]. Automation in Construction, 2017, 73: 145-165.doi: 10.1016/j.autcon.2016.10.003 |
| [7] |
Farias T, Roxin A, Nicolle C, et al. A Rule Based System for Semantical Enrichment of Building Information Exchange[C]//Proceedings of the RuleML 2014 Challenge and the RuleML 2014 Doctoral Consortium, 2014, 2-9. |
| [8] |
Pauwels P, Terkaj W. EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL ontology[J]. Automation in Construction, 2016, 63: 100-133.doi: 10.1016/j.autcon.2015.12.003 |
| [9] |
Bloch T, Sacks R. Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models[J]. Automation in Construction, 2018, 91: 256-272.doi: 10.1016/j.autcon.2018.03.018 |
| [10] |
Sacks R, Kedar A, Borrmann A, et al. SeeBridge as next generation bridge inspection: Overview, Information Delivery Manual and Model View Definition[J]. Automation in Construction, 2018, 90: 134-145.doi: 10.1016/j.autcon.2018.02.033 |
| [11] |
Wu J, Zhang J. Automated BIM Object Classification to Support BIM Interoperability[C]//Construction Research Congress 2018: Sustainable Design and Construction and Education, 2018, 706-715. |
| [12] |
Song J, Kim J, Lee J. Spatial information enrichment using NLP-based classification of space objects for school bldgs. in Korea[C]//Proceedings of the 36th International Symposium on Automation and Robotics in Construction, 2019, 415-420. |
| [13] |
Koo B, La S, Cho N, et al. Using support vector machines to classify building elements for checking the semantic integrity of building information models[J]. Automation in Construction, 2019, 98: 183-194.doi: 10.1016/j.autcon.2018.11.015 |
| [14] |
Ferguson M, Jeong S, Law K H. Worksite Object Characterization for Automatically Updating Building Information Models[C]//Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation, 2019, 303-311. |
| [15] |
Ma L, Sacks R. A cloud-based BIM platform for information collaboration[C]//ISARC 2016-33rd International Symposium on Automation and Robotics in Construction, 2016, 581-589. |
| [16] |
Ismail A, Srewil Y, Scherer R, et al. Semantic enrichment and multimodel data exchange approach for CFD analysis of bridges[C]//23rd International Workshop of the European Group for Intelligent Computing in Engineering, 2016, 1-9. |
| [17] |
Xiong X, Adan A, Akinci B, et al. Automatic creation of semantically rich 3D building models from laser scanner data[J]. Automation in Construction, 2013, 31: 325-337.doi: 10.1016/j.autcon.2012.10.006 |
| [18] |
Sacks R, Bloch R, Katz M, et al. Automating Design Review with Artificial Intelligence and BIM: State of the Art and Research Framework[C]//Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation, 2019, 353-360. |
| [19] |
Santos R, Costa A A, Silvestre J D, et al. Development of a BIM-based Environmental and Economic Life Cycle Assessment tool[J]. Journal of Cleaner Production, 2020, 265: 1-17. |
| [20] |
Atyabi S, Kiavarz Moghaddam M, Rajabifard A. Optimization of emergency evacuation in fire building by integrated BIM and GIS[C]//International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, 2019, 131-139. |
| [21] |
Kim M, Wang Q, Park J, et al. Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM[J]. Automation in Construction, 2016, 72: 102-114.doi: 10.1016/j.autcon.2016.08.035 |
| [22] |
Jeong Y S, Eastman C M, Sacks R, et al. Benchmark tests for BIM data exchanges of precast concrete[J]. Automation in Construction, 2008, 18(4): 469-484. |
| [23] |
Hamledari H, Azar E R, McCabe B. IFC-Based Development of As-Built and As-Is BIMs Using Construction and Facility Inspection Data: Site-to-BIM Data Transfer Automation[J]. Journal of Computing in Civil Engineering, 2017, 32(2): 1-15. |
| [24] |
Golparvar-Fard M, Peña-Mora F, Savarese S. Automated Progress Monitoring Using Unordered Daily Construction Photographs and IFC-Based Building Information Models[J]. Journal of Computing in Civil Engineering, 2015, 29. |
| [25] |
Hamledari H, McCabe B, Davari S, et al. Automated Schedule and Progress Updating of IFC-Based 4D BIMs[J]. Journal of Computing in Civil Engineering, 2017, 31: 1-16. |
| [26] |
Arslan M, Cruz C, Ginhac D. Semantic Enrichment of Spatio-temporal Trajectories for Worker Safety on Construction Sites[C]//The 9th International Conference on Ambient Systems, Networks and Technologies, 2018, 271-278. |
| [27] |
Arslan M, Cruz C, Ginhac D. Semantic enrichment of spatio-temporal trajectories for worker safety on construction sites[J]. Personal and Ubiquitous Computing, 2019, 23: 749-764.doi: 10.1007/s00779-018-01199-5 |
| [28] |
Arslan M, Cruz C, Ginhac D. Identifying Intrusions in Dynamic Environments Using Semantic Trajectories and BIM for Worker Safety[C]//Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing. Springer, Singapore, 2020, 59-67. |
| [29] |
Bortoluzzi B, Efremov I, Medina C, et al. Automating the creation of building information models for existing buildings[J]. Automation in Construction, 2019, 105: 1-13. |
| [30] |
O'Donnell J, Truong-Hong L, Boyle N, et al. LiDAR point-cloud mapping of building facades for building energy performance simulation[J]. Automation in Construction, 2019, 107: 1-16. |
| [31] |
Maietti F, Di Giulio R, Piaia E, et al. Enhancing Heritage fruition through 3D semantic modelling and digital tools: The INCEPTION project[C]//IOP Conference Series: Materials Science and Engineering, 2018, 1-8. |
| [32] |
Themistocleous K, Ioannides M, Georgiou S, et al. The innovative documentation of cultural heritage using H-BIM: Case study of Asinou church[C]//Proceedings of SPIE-The International Society for Optical Engineering, 2018. |
| [33] |
Simeone D, Cursi S, Acierno M. BIM semantic-enrichment for built heritage representation[J]. Automation in Construction, 2018, 122-137. |
| [34] |
Han R, Mo W, Shao D. Research on the Construction Strategy of Information Model for Manchuria Style Architecture and Its Application[J]. International Journal of Smart Home, 2016, 10(7): 175-184.doi: 10.14257/ijsh.2016.10.7.18 |
| [35] |
Kim M, Wang Q, Park J, et al. Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM[J]. Automation in Construction, 2016, 72: 102-114.doi: 10.1016/j.autcon.2016.08.035 |
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