Retracted: The Creation and Exploration of Revit Family Based on BIM Technology

Lin, Li; Song, Xiqing; Minyuan, Huang; Sun, Yongbing; Jin, Li; Zhu, Yu; Yang, Zhaorong

doi:10.1109/icscse.2016.0072

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…The next step is to segment the model and save each type of component separately according to semantic categories, which is convenient for subsequent data annotation and sampling point cloud. Since all the elements in Revit software are based on "Family" [21], different elements in the same family have the same property settings, similar graphical representations, the same types and numbers of parameters, but some or all parameters can have different values. Therefore, we can invoke the filter command in Revit software to segment various types of drawing elements according to the distinction of "family" name.…”

Section: Automatic Model Segmentationmentioning

confidence: 99%

An efficient method for producing deep learning point cloud datasets based on BIM 3D model and computer simulation

Zhang

Wang²

2022

Second International Symposium on Computer Technology and Information Science (ISCTIS 2022)

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Currently, 3D deep learning based on point cloud data has become a research hotspot in the field of computer vision. However, the high cost of acquiring point cloud data, the tedious process of processing and labeling, and the scarcity of high-quality and suitable datasets have been the prominent problems faced by researchers. In this paper, we propose a method to quickly produce point cloud dataset based on BIM 3D model and computer simulation technology, including the steps of classifying and labeling BIM models, converting 3D object data formats, extracting point clouds using Pytorch3d and Open3d libraries, and improving efficiency through Revit secondary development and Dos batch processing. Finally, we demonstrate the effectiveness of the method by performing semantic segmentation experiments using Pointnet++ network and analyzed the impact of point cloud sampling density, sampling method and 3D model accuracy on the performance of virtual point cloud. As a digital twin of the real world, BIM models are a natural database with rich scenes and all kinds of elements. It is hoped that the method studied in this paper can help researchers to produce datasets applicable to their own research and provide help for the application of 3D deep learning techniques in engineering and other fields.

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Section: Automatic Model Segmentationmentioning

confidence: 99%

An efficient method for producing deep learning point cloud datasets based on BIM 3D model and computer simulation

Zhang

Wang²

2022

Second International Symposium on Computer Technology and Information Science (ISCTIS 2022)

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“…The parameterized family is an objective abstraction of models with certain geometric constraints, topological structures, and material partitions. It is a general term for a class of components with geometric similarities, which could be incorporated into a specific component in a project by assigning its variable parameters [32,33]. Parameters are divided into two categories: one is the variable dimension parameters, which are used to define the scale of a building, the other is the continuous invariant geometric information, which is used to define the topological constraint relationships between components.…”

Section: Hydraulic Structuresmentioning

confidence: 99%

Three-Dimensional Numerical Simulation of Dam Discharge and Flood Routing in Wudu Reservoir

Rong

Zhang

Peng

et al. 2019

Water

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The main objectives of the present work are to investigate the hydraulic characteristics of the dam discharge flow and its impact downstream. Building information modeling technology is adopted to generate the terrain entity and hydraulic structures. The calculation of the dam discharge and flood routing simulation is achieved by employing Reynolds-Averaged Navier-Stokes equations with the RNG k-ε eddy viscosity model for its turbulence closure, as well as the Volume of Fluid method. An urban flood experiment and the field measurement records are utilized and validated the model accuracy. The flow field is obtained to assess the dam working conditions under different water levels. The results show that the maximum downstream flow depth, the maximum discharge capacity and the hydraulic jump length under normal water level is 18.6 m, 13,800 m 3 /s, and 108 m, respectively. The dam satisfies the safety demand under different water levels but close attention should be paid to the dam foundation, especially around the incident points of the discharge flow. Complex turbulent flow patterns, including collision, reflection, and vortices, are captured by three-dimensional simulation. The numerical simulation can assist the reservoir management vividly, so as to guarantee the stability of the dam operation. 2 of 20 experiments and confinements of empirical equations, researchers have attempted to adopt numerical simulation to check the working conditions of hydraulic structures [9-11]. Li et al. [12] simulated the joint flood discharge with the surface outlet and bottom outlet of a dam. The energy dissipation rate is enhanced by effective operation rules to stabilize the downstream flow regimes.Rapidly varied flow having large streamline curvatures exerts non-hydrostatic pressure distribution over the dam discharge structure surface. The enormous three-dimensional (3D) effect of dam discharge flow reveals that two-dimensional (2D) assumptions in solving such problems are inadequate [13][14][15]. 3D numerical simulation comes into sight gradually because it can yield a high-resolution outcome and vividly display the variation of physical parameters in the flow field [16]. In fact, 3D flood numerical simulation can be used to judge disaster losses in terms of visual experience. More concretely, it can qualitatively and quantitatively assess flood hazards and render visual reference for the development of flood control schemes, providing an important foundation for flood forecasting, dam design, and flood control system application [17]. The 3D simulation is approximately equivalent to the reality in terms of landform and boundary conditions. Therefore, the results are more accurate and convincing, and it is widely available in practical engineering [18][19][20][21].Dam discharge simulation requires an integrated tool that can handle both terrain entities and hydraulic structures. The building information modeling (BIM) method renders an effective approach for the generation of these models. It can provide detailed structure ...

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“…At present, 3D parametric modeling is widely used in the model construction of railroads, bridges, underground pipelines, buildings, etc. Researches on 3D parametric modeling are mainly based on existing 3D parametric modeling software, such as establishing component family libraries based on Revit [4][5], and there are also related studies that summarize modeling parameters based on the characteristics of 3D entities, and then conduct secondary development based on certain platforms such as Revit, CATIA, AutoCAD [6][7][8]. In addition, some studies proposed corresponding parametric modeling algorithms, such as centerline translation method [9] and cross-sectional lofting method [10].…”

Section: Introductionmentioning

confidence: 99%

A 3D parametric modeling method for the grid information model

Dong,

Li,

et al. 2024

Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023)

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In order to meet the needs of information and intelligent service of power transmission and transformation project, the power industry proposed the grid information model (GIM), which is a digital information model of the whole life cycle of power grid components and is of great significance for realizing information sharing in power industry. On this basis, State Grid has formulated a unified GIM model specification, but the specification only gives the parameters of the fundamental geometry units, and does not involve the specific implementation. The existing platform cannot build the model directly according to the given parameters. And for that, this paper proposes a 3D parametric modeling method for GIM, establishes a hierarchical tree structure based on the fundamental geometry units in the specification, and proposes a GIM fundamental geometry units modeling algorithm applicable to this structure, according to which the automatic construction of GIM fundamental geometry units can be realized. Finally, the feasibility and effectiveness of the method proposed in this paper are verified by experiments.

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Retracted: The Creation and Exploration of Revit Family Based on BIM Technology

Cited by 4 publications

References 3 publications

An efficient method for producing deep learning point cloud datasets based on BIM 3D model and computer simulation

An efficient method for producing deep learning point cloud datasets based on BIM 3D model and computer simulation

Three-Dimensional Numerical Simulation of Dam Discharge and Flood Routing in Wudu Reservoir

A 3D parametric modeling method for the grid information model

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