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  • Open Access

    ARTICLE

    Automatic BIM Indoor Modelling from Unstructured Point Clouds Using a Convolutional Neural Network

    Uuganbayar Gankhuyag, Ji-Hyeong Han*

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 133-152, 2021, DOI:10.32604/iasc.2021.015227 - 17 March 2021

    Abstract The automated reconstruction of building information modeling (BIM) objects from unstructured point cloud data for indoor as-built modeling is still a challenging task and the subject of much ongoing research. The most important part of the process is to detect the wall geometry clearly. A popular method is first to segment and classify point clouds, after which the identified segments should be clustered according to their corresponding objects, such as walls and clutter. To perform this process, a major problem is low-quality point clouds that are noisy, cluttered and that contain missing parts in the… More >

  • Open Access

    ARTICLE

    Building Information Modeling Based Automated Building Regulation Compliance Checking Asp.net Web Software

    Murat Aydın*

    Intelligent Automation & Soft Computing, Vol.28, No.1, pp. 11-25, 2021, DOI:10.32604/iasc.2021.015065 - 17 March 2021

    Abstract Building regulations used in the architecture, engineering, and construction sectors are legal documents prepared under the control of local authorities for use by individuals. These regulations determine the conditions for ensuring performance and quality throughout the entire construction process. The building regulation inspection process conducted with the traditional manual method is time-consuming and error-prone for architects, engineers, and local authorities. It is known that most of these inspections are carried out with municipalities by local authorities. The mutual interview study and literature review shows that there is no standard rule for the legal auditing process… More >

  • Open Access

    ARTICLE

    Building Information Modeling-Based Secondary Development System for 3D Modeling of Underground Pipelines

    Jun Chen1, *, Rao Hu2, Xianfeng Guo3, Feng Wu2

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 647-660, 2020, DOI:10.32604/cmes.2020.09180 - 01 May 2020

    Abstract Underground pipeline networks constitute a major component of urban infrastructure, and thus, it is imperative to have an efficient mechanism to manage them. This study introduces a secondary development system to efficiently model underground pipeline networks, using the building information modeling (BIM)-based software Revit. The system comprises separate pipe point and tubulation models. Using a Revit application programming interface (API), the spatial position and attribute data of the pipe points are extracted from a pipeline database, and the corresponding tubulation data are extracted from a tubulation database. Using the Family class in Revit API, the More >

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