3D reconstruction of as-built industrial instrumentation models from laser-scan data and a 3D CAD database based on prior knowledge

Son, Hyojoo; Kim, Changmin

doi:10.1016/j.autcon.2014.08.007

Cited by 81 publications

(28 citation statements)

References 34 publications

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“…There has been a growing consensus as to how prior knowledge can guide and facilitate the process of reconstruction of an existing large-scale facility. Prior knowledge is also used for 3D reconstruction of as-built industrial instrumentation models from laser-scan data [28]. Incorporation of prior knowledge into the reconstruction process provides supports for the automated procedures instead of the manual input [29].…”

Section: Logical Inference Through a Domain Query Languagementioning

confidence: 99%

Automatically Generating a MEP Logic Chain from Building Information Models with Identification Rules

Xiao

2019

Applied Sciences

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In mechanical, electrical, and plumbing (MEP) systems, logic chains refer to the upstream and downstream connections between MEP components. Generating the logic chains of MEP systems can improve the efficiency of facility management (FM) activities, such as locating components and retrieving relevant maintenance information for prompt failure detection or for emergency responses. However, due to the amount of equipment and components in commercial MEP systems, manually creating such logic chains is tedious and fallible work. This paper proposes an approach to generate the logic chains of MEP systems using building information models (BIMs) semi-automatically. The approach consists of three steps: (1) the parametric and nonparametric spatial topological analysis within MEP models to generate a connection table, (2) the transformation of MEP systems and custom information requirements to generate the pre-defined and user-defined identification rules, and (3) the logic chain completion of MEP model based on the graph data structure. The approach was applied to a real-world project, which substantiated that the approach was able to generate logic chains of 15 MEP systems with an average accuracy of over 80%.

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Section: Logical Inference Through a Domain Query Languagementioning

confidence: 99%

Automatically Generating a MEP Logic Chain from Building Information Models with Identification Rules

Xiao

2019

Applied Sciences

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“…Given the intrinsic characteristics of equipment in a chemical plant, Son et al. () realized that connectivity information is crucial for classification of such objects. They established connectivity graphs of typical equipment based on a 3D CAD database, built a similar graph of actual objects of a model to be classified, and finally identified the object types based on graph matching.…”

Section: Introductionmentioning

confidence: 99%

3D Object Classification Using Geometric Features and Pairwise Relationships

Sacks

Kattel

et al. 2017

Computer aided Civil Eng

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Object classification is a key differentiator of building information modeling (BIM) from three-dimensional (3D) computer-aided design (CAD). Incorrect object classification impedes the full exploitation of BIM models. Models prepared using domainspecific software cannot ensure correct object classification when transferred to other domains, and research on reconstruction of BIM models using spatial survey has not proved a full capability to classify objects. This research proposed an integrated approach to object classification that applied domain experts' knowledge of shape features and pairwise relationships of 3D objects to effectively classify objects using a tailored matching algorithm. Among its contributions: the algorithms implemented for shape and spatial feature identification could process various complex 3D geometry; the method devised for compilation of the knowledge base considered both rigor and confidence of the inference; the algorithm for matching provides mathematical measurement of the object classification results. The integrated approach has been applied to classify 3D bridge objects in two models: a model prepared using incorrect object types and a model manually reconstructed using point cloud data. All these objects were successfully classified.

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“…Indeed, primitive-based 3D CAD models can still be reconstructed from point clouds with a better productivity than BIM [30], and most objects of a power plant can be considered as a combination of primitive geometries (due to a series effect of the design and part manufacturing process, except for molding large metal equipment). Though recent automatic algorithms for primitive fitting perform better with increasing sampling resolution, they are still far from a 2.58σ tolerance of detection and fitting [31].…”

Section: D Cad Reconstructionmentioning

confidence: 99%

Multi-Sensor As-Built Models of Complex Industrial Architectures

et al. 2015

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Abstract:In the context of increased maintenance operations and generational renewal work, a nuclear owner and operator, like Electricité de France (EDF), is invested in the scaling-up of tools and methods of "as-built virtual reality" for whole buildings and large audiences. In this paper, we first present the state of the art of scanning tools and methods used to represent a very complex architecture. Then, we propose a methodology and assess it in a large experiment carried out on the most complex building of a 1300-megawatt power plant, an 11-floor reactor building. We also present several developments that made possible the acquisition, processing and georeferencing of multiple data sources (1000+ 3D laser scans and RGB panoramic, total-station surveying, 2D floor plans and the 3D reconstruction of CAD as-built models). In addition, we introduce new concepts for user interaction with complex architecture, elaborated during the development of an application that allows a painless exploration of the whole dataset by professionals, unfamiliar with such data types. Finally, we discuss the main feedback items from this large experiment, the remaining issues for the generalization of such large-scale surveys and the future technical and scientific challenges in the field of industrial "virtual reality".

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3D reconstruction of as-built industrial instrumentation models from laser-scan data and a 3D CAD database based on prior knowledge

Cited by 81 publications

References 34 publications

Automatically Generating a MEP Logic Chain from Building Information Models with Identification Rules

Automatically Generating a MEP Logic Chain from Building Information Models with Identification Rules

3D Object Classification Using Geometric Features and Pairwise Relationships

Multi-Sensor As-Built Models of Complex Industrial Architectures

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