Scan-to-BIM for ‘secondary’ building components

Adán, Antonio; Quintana, Blanca Hernández; Prieto, Samuel A.; Bosché, Frédéric

doi:10.1016/j.aei.2018.05.001

Cited by 67 publications

(33 citation statements)

References 17 publications

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“…Patraucean et al [28] also conducted research on the modeling method for the progressive status of a project through the BIM. Meanwhile, Adan et al [29] focused on the recognition of objects. After segmenting the point clouds corresponding to the walls of a building, a set of candidate objects was detected independently in the color and geometric spaces, and an original consensus procedure integrated both results to infer recognition.…”

Section: Existing Studies On Automated Progress Data Acquisitionmentioning

confidence: 99%

Sustainable Application of Hybrid Point Cloud and BIM Method for Tracking Construction Progress

Kim

Lee

2020

Sustainability

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Compared to the past, the complexity of construction-project progress has increased as the size of structures has become larger and taller. This has resulted in many unexpected problems with an increasing frequency of occurrence, such as various uncertainties and risk factors. Recently, research was conducted to solve the problem via integration with data-collection automation tools of construction-project-progress measurement. Most of the methods used spatial sensing technology. Thus, this study performed a review of the representative technologies applied to construction-project-progress data collection and identified the unique characteristics of each technology. The basic principle of the progress proposed in this study is its execution through the point cloud and the attributes of BIM, which were studied in five stages: (1) Acquisition of construction completion data using a point cloud, (2) production of a completed 3D model, (3) interworking of an as-planned BIM model and as-built model, (4) construction progress tracking via overlap of two 3D models, and (5) verification by comparison with actual data. This has confirmed that the technical limitations of the construction progress tracking through the point cloud do not exist, and that a fairly high degree of progress data which contains efficiency and accuracy can be collected.

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Section: Existing Studies On Automated Progress Data Acquisitionmentioning

confidence: 99%

Sustainable Application of Hybrid Point Cloud and BIM Method for Tracking Construction Progress

Kim

Lee

2020

Sustainability

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“…These studies sought to enhance the quality monitoring, model checking and tracking of as-built design changes over the project's lifecycle. (Adán et al, 2018;Agapaki et al, 2018); Dietze et al, 2013;Franz et al, 2018;Stojanovic et al, 2018;Kalyan et al, 2016). Interoperability.…”

Section: Acknowledgmentsmentioning

confidence: 99%

A conceptual framework for utilising BIM digital objects (BDO) in manufacturing design and production

Al-Saeed¹,

Pärn

Edwards

et al. 2019

JEDT

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Purpose Construction manufacturers predominantly rely upon antiquated manual design and production processes and procedures because they lack technical skills needed to automate working practices. This paper aims to automate manufacturing processes by optimising the utilisation of BIM digital objects (BDO) via the development of a conceptual model. Concomitant objectives seek to reduce design errors; eliminate unnecessary costs; automate the generation of quantity bills; and maximise productivity performance. Design/methodology/approach An inductive approach was adopted through a post positivist epistemological lens set within the context of a case study of a small- and medium-sized enterprise. From an operational perspective, both qualitative and quantitative data were collected and analysed via a novel four-phase waterfall design, namely, literature diagnosis; recording contemporary practice; mapping manufacturing workflow and procedures; and evaluation and proof of concept development. Findings The work illustrates that BDO enhances manufacturing workflow, reduces product manufacturing lead time and augments quality assurance throughout the whole life cycle of a manufactured product. The conceptual model developed provides a pragmatic and comprehensive solution to automate construction manufacturing procedures and to improve the facilitation of information exchanged between all stakeholders involved. Originality/value This study presents the first comprehensive case study of BDO application within a manufacturing context. Future research is however, needed to test and validate the conceptual model presented in practice. In doing so, the model can be further refined using practitioner input and real-life manufacturing processes and procedures.

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“…Registration of credible, available BIM components is a possible means of responding to this difficulty. The concept of parametric 3D component registration emerged decades ago, for example in computer-aided design (CAD) surface fitting in reverse engineering (Varady et al, 1997), and has been practiced in modeling curved surfaces (e.g., Dimitrov et al, 2016), pipelines (e.g., Bosché et al, 2014;Nguyen and Choi, 2018), secondary elements on walls (e.g., Adán et al, 2018), and historic BIMs (e.g., Barazzetti, 2016). A well-known registration algorithm is the iterated closest point (ICP).…”

Section: Generation Of As-built Bims From 3d Point Cloudsmentioning

confidence: 99%

From Semantic Segmentation to Semantic Registration: Derivative-Free Optimization–Based Approach for Automatic Generation of Semantically Rich As-Built Building Information Models from 3D Point Clouds

Xue¹,

Lu²,

Chen

et al. 2019

J. Comput. Civ. Eng.

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Highlights  This paper proposes a new 'semantic registration' paradigm for reconstructing as-built BIMs from 3D point clouds.  This paper develops a derivative-free optimization approach as well as a BIM software plugin to realize the 'semantic registration' paradigm.  This paper employs two processes of surface sampling and voxelization for efficient estimation of geometric errors between a BIM and a point cloud in the derivative-free optimization approach.  The effectiveness and the sensitivity of the approach was validated using a noisy indoor furniture case (100% precision and recall, RMSE=3.87cm, in 0.8s per BIM component), and the scalability was tested in a lecture hall case with 293 chairs (over 80% precision and recall, RMSE = 8.1cm, in about 5.0s per BIM component).  The proposed 'semantic registration' paradigm is proven: (i) free from segmentation, (ii) capable of processing complex scenes, and (iii) reusing online open BIM resources.

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Scan-to-BIM for ‘secondary’ building components

Cited by 67 publications

References 17 publications

Sustainable Application of Hybrid Point Cloud and BIM Method for Tracking Construction Progress

Sustainable Application of Hybrid Point Cloud and BIM Method for Tracking Construction Progress

A conceptual framework for utilising BIM digital objects (BDO) in manufacturing design and production

From Semantic Segmentation to Semantic Registration: Derivative-Free Optimization–Based Approach for Automatic Generation of Semantically Rich As-Built Building Information Models from 3D Point Clouds

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