scholarly journals Applying novelty detection to identify model element to IFC class misclassifications on architectural and infrastructure Building Information Models

2018 ◽  
Vol 5 (4) ◽  
pp. 391-400 ◽  
Author(s):  
Bonsang Koo ◽  
Byungjin Shin
Keyword(s):  
Ad Hoc ◽  
Performance Metrics ◽  
Novelty Detection ◽  
Information Modeling ◽  
True Negative ◽  
Industry Foundation Classes ◽  
Information Models ◽  
Building Information ◽  
Superior Approach ◽  
Performance Results

Abstract Ensuring the correct mapping of model elements to Industry Foundation Classes (IFC) classes is fundamental for the seamless exchange of information between Building Information Modeling (BIM) applications, and thus achieve true interoperability. This research explored the possibility of employing novelty detection, a machine learning approach, as a way to detect potential misclassifications that occur during current ad hoc and manual mapping practices. By training the algorithm to learn the geometry of BIM elements for a given IFC class, outliers are detected automatically. A framework for leveraging multiple BIM models and training individual one-class SVM's was formulated and tested on four IFC classes. Performance results demonstrate the classification models to be robust and unbiased. The algorithms developed thus can be leveraged to check the integrity of IFC data, a prerequisite for BIM-based quality control and code compliance. Highlights The correct mapping of BIM elements to IFC classes is critical for IFC based interoperability. A framework is formalized for applying novelty detection to automate the checking of misclassifications. One-class SVM's are trained and tested on two architectural and two infrastructure IFC classes. Performance metrics indicate robust and unbiased models with high accuracy and true negative rates. Novelty detection is a superior approach to outlier detection in identifying misclassifications of BIM to IFC associations.

scholarly journals Design of Railway Track Model with Three-Dimensional Alignment Based on Extended Industry Foundation Classes

2020 ◽  
Vol 10 (10) ◽  
pp. 3649
Author(s):  
Tae Ho Kwon ◽  
Sang I. Park ◽  
Young-Hoon Jang ◽  
Sang-Ho Lee
Keyword(s):  
Classification System ◽  
Building Information Modeling ◽  
Three Dimensional ◽  
Software Tools ◽  
Information Modeling ◽  
Railway Track ◽  
Industry Foundation Classes ◽  
Information Models ◽  
Building Information ◽  
Track Test

Building information modeling (BIM) has been widely applied in conjunction with the industry foundation class (IFC) for buildings and infrastructure such as railways. However, a limitation of the BIM technology presents limitations that make designing the three-dimensional (3D) alignment-based information models difficult. Thus, the time and effort required to create a railway track model are increased, while the reliability of the model is reduced. In this study, we propose a methodology for developing an alignment-based independent railway track model and extended IFC models containing railway alignment information. The developed algorithm using BIM software tools allows for a discontinuous structure to be designed. The 3D alignment information connects different BIM software tools, and the classification system and IFC schema for expressing railway tracks are extended. Moreover, the classification system is fundamental for assigning IFC entities to railway components. Spatial and hierarchical entities were created through a developed user interface. The proposed methodology was implemented in an actual railway track test. The possibility of managing IFC-based railway track information, including its 3D alignment information, was confirmed. The proposed methodology can reduce the modeling time and can be extended to other alignment-based structures, such as roads.

scholarly journals A geometric deep learning approach for checking element-to-entity mappings in infrastructure building information models

2020 ◽  
Author(s):  
Bonsang Koo ◽  
Raekyu Jung ◽  
Youngsu Yu ◽  
Inhan Kim
Keyword(s):  
Deep Learning ◽  
Point Clouds ◽  
3D Models ◽  
Classification Performance ◽  
Information Modeling ◽  
Data Interoperability ◽  
Industry Foundation Classes ◽  
Domain Specific ◽  
Information Models ◽  
Building Information

Abstract Data interoperability between domain-specific applications is a key prerequisite for building information modeling (BIM) to solidify its position as a central medium for collaboration and information sharing in the construction industry. The Industry Foundation Classes (IFC) provides an open and neutral data format to standardize data exchanges in BIM, but is often exposed to data loss and misclassifications. Concretely, errors in mappings between BIM elements and IFC entities may occur due to manual omissions or the lack of awareness of the IFC schema itself, which is broadly defined and highly complex. This study explored the use of geometric deep learning models to classify infrastructure BIM elements, with the ultimate goal of automating the prechecking of BIM-to-IFC mappings. Two models with proven classification performance, Multi-View Convolutional Neural Network (MVCNN) and PointNet, were trained and tested to classify 10 types of commonly used BIM elements in road infrastructure, using a dataset of 1496 3D models. Results revealed MVCNN as the superior model with ACC and F1 score values of 0.98 and 0.98, compared with PointNet's corresponding values of 0.83 and 0.87, respectively. MVCNN, which employs multiple images to learn the features of a 3D artifact, was able to discern subtle differences in their shapes and geometry. PointNet seems to lose the granularity of the shapes, as it uses points partially selected from point clouds.

Life Cycle of Construction Objects at Information Simulation of Buildings and Structures

2019 ◽  
pp. 65-72 ◽  
Keyword(s):  
Life Cycle ◽  
Construction Projects ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Sources Of Information ◽  
Logical Scheme ◽  
Modeling Technology ◽  
Information Models ◽  
Building Information ◽  
The Russian Federation

The variants of the division of the life cycle of a construction object at the stages adopted in the territory of the Russian Federation, as well as in other countries are considered. Particular attention is paid to the exemplary work plan – "RIBA plan of work", used in England. A feature of this document is its applicability in the information modeling of construction projects (Building information Modeling – BIM). The article presents a structural and logical scheme of the life cycle of a building object and a list of works that are performed using information modeling technology at various stages of the life cycle of the building. The place of information models in the process of determining the service life of the building is shown. On the basis of the considered sources of information, promising directions for the development of the life cycle management system of the construction object (Life Cycle Management) and the development of the regulatory framework in order to improve the use of information modeling in construction are given.

scholarly journals A Common Approach to Geo-Referencing Building Models in Industry Foundation Classes for BIM/GIS Integration

2021 ◽  
Vol 10 (6) ◽  
pp. 362
Author(s):  
Junxiang Zhu ◽  
Peng Wu
Keyword(s):  
Building Information Modeling ◽  
Information Modeling ◽  
Industry Foundation Classes ◽  
Spatial Reference ◽  
Reference Information ◽  
Building Models ◽  
Digital Twins ◽  
Gis Data ◽  
Gis Integration ◽  
Building Information

Previous geo-referencing approaches for building information modeling (BIM) models can be problematic due to: (a) the different interpretations of the term ‘geo-referencing’, (b) the insufficient consideration of the placement hierarchy of the industry foundation classes (IFCs), and (c) the misunderstanding that a common way to embed spatial reference information for IFC is absent. Therefore, the objective of this study is to (1) clarify the meaning of geo-referencing in the context of BIM/GIS data integration, and (2) develop a common geo-referencing approach for IFC. To achieve the goal, a systematic and thorough investigation into the IFC standard was conducted to assess the geo-referencing capability of IFC. Based on the investigation, a geo-referencing approach was established using IFC entities that are common in different IFC versions, which makes the proposed approach common to IFC. Such a geo-referencing approach supports automatic geo-referencing that would facilitate the use of BIM models in GIS, e.g., for the construction of digital twins.

scholarly journals Development of the structure and composition of a building information classifier towards the application of BIM technologies

Vestnik MGSU ◽  
2020 ◽  
pp. 867-906 ◽  
Author(s):  
Vladimir A. Volkodav ◽  
Ivan A. Volkodav
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Life Cycles ◽  
Classification Systems ◽  
Information Modeling ◽  
Information Classification ◽  
Technical Requirements ◽  
Information Models ◽  
Building Information ◽  
The One

Abstract Introduction. Various building information classification systems are used internationally; their critical analysis makes it possible to highlight basic requirements applicable to the Russian classifier and substantiate its structure and composition. Materials and methods. Modern international building information classification systems, such as OmniClass (USA), Uniclass 2015 (UK), CCS (Denmark), and CoClass (Sweden), are considered in the article. Their structure, composition, methodological fundamentals are analyzed. In addition to international classification systems, Russian construction information classifiers are analyzed. Results. The structure of a building information classifier has been developed and tailored to the needs of BIM (building information modeling) and national regulatory and technical requirements. The classifier’s structure complies with the one recommended by ISO 12006-2:2015. Its composition has regard to the requirements that apply to the aggregation and unification of Russian classifiers, and it also benefits from the classifiers developed for and used by the construction industry. The proposed building information classifier has four basic categories and 21 basic classes. Conclusions. The proposed structure and composition of a building information classifier represent a unified and universal tool for communicating building information or presenting it in the standardized format in the consolidated information space designated for information models needed to manage life cycles of major construction projects.

scholarly journals Data transfer between digital models of built assets and their operation & maintenance systems

2020 ◽  
Vol 25 ◽  
pp. 469-481
Author(s):  
Kay Rogage ◽  
David Greenwood
Keyword(s):  
Data Transfer ◽  
Hybrid Approach ◽  
Facilities Management ◽  
Industry Foundation Classes ◽  
Building Model ◽  
Building Models ◽  
Information Models ◽  
Building Information ◽  
The Many ◽  
Transfer Of Information

The operation and maintenance of built assets is crucial for optimising their whole life cost and efficiency. Historically, however, there has been a general failure in the transfer information between the design-and-construct (D&C) and operate-and-maintain (O&M) phases of the asset lifecycle. The recent steady uptake of digital technologies, such as Building Information Modelling (BIM) in the D&C phase has been accompanied by an expectation that this would enable better transfer of information to those responsible for O&M. Progress has been slow, with practitioners being unsure as to how to incorporate BIM into their working practices. Three types of challenge are identified, related to communication, experience and technology. In examining the last aspect, it appears that a major problem has been that of interoperability between building information models and the many computer-aided facilities management (CAFM) systems in use. The successful and automatic transfer of information from a building model to an FM tool is, in theory, achievable through the medium of the Industry Foundation Classes (IFC) schema. However, this relies upon the authoring of the model in terms of how well its structure permits the identification of relevant objects, their relationships and attributes. The testing of over 100 anonymised building models revealed that very few did; prohibiting their straightforward mapping to the maintenance database we had selected for the test. An alternative, hybrid approach was developed using an open-source software toolkit to identify objects by their geometry as well as their classification, thus enabling their automatic transfer. In some cases, manual transfer proved necessary. The implications are that while these problems can be overcome on a case-by-case basis, interoperability between D&C and O&M systems will not become standard until it is accommodated by appropriate and informed authoring of building models.

GREEN BUILDING AND BIODIVERSITY: FACILITATING BIRD FRIENDLY DESIGN WITH BUILDING INFORMATION MODELS

2016 ◽  
Vol 11 (2) ◽  
pp. 116-130 ◽  
Author(s):  
Karen Kensek ◽  
Ye Ding ◽  
Travis Longcore
Keyword(s):  
Building Materials ◽  
Green Building ◽  
Building Design ◽  
Visual Programming ◽  
Information Modeling ◽  
Indoor Environmental Quality ◽  
Information Models ◽  
Building Information ◽  
The Impact ◽  
Bird Collisions

Green buildings should respect nature and endeavor to mitigate harmful effects to the environment and occupants. This is often interpreted as creating sustainable sites, consuming less energy and water, reusing materials, and providing excellent indoor environmental quality. Environmentally friendly buildings should also consider literally the impact that they have on birds, millions of them. A major factor in bird collisions with buildings is the choice of building materials. These choices are usually made by the architect who may not be aware of the issue or may be looking for guidance from certification programs such as LEED. As a proof of concept for an educational tool, we developed a software-assisted approach to characterize whether a proposed building design would earn a point for the LEED Pilot Credit 55: Avoiding Bird Collisions. Using the visual programming language Dynamo with the common building information modeling software Revit, we automated the assessment of designs. The approach depends on parameters that incorporate assessments of bird threat for façade materials, analyzes building geometry relative to materials, and processes user input on building operation to produce the assessment.

scholarly journals A three-step process for reporting progress in detail engineering using BIM, based on experiences from oil and gas projects

2019 ◽  
Vol 26 (4) ◽  
pp. 648-667 ◽  
Author(s):  
Øystein Mejlænder-Larsen
Keyword(s):  
Construction Projects ◽  
Oil And Gas ◽  
Case Study Research ◽  
Oil And Gas Industry ◽  
Information Modeling ◽  
Content Type ◽  
Step Process ◽  
Information Models ◽  
Building Information ◽  
Building Information Models

Purpose Traditionally, progress in detail engineering in construction projects is reported based on estimates and manual input from the disciplines in the engineering team. Reporting progress on activities in an engineering schedule manually, based on subjective evaluations, is time consuming and can reduce accuracy, especially in larger and multi-disciplinary projects. How can progress in detail engineering be reported using BIM and connected to activities in an engineering schedule? The purpose of this paper is to introduce a three-step process for reporting progress in detail engineering using building information modeling (BIM) to minimize manual reporting and increase quality and accuracy. Design/methodology/approach The findings of this paper are based on the studies of experiences from the execution of projects in the oil and gas industry. Data are collected from an engineering, procurement and construction (EPC) contractor and two engineering contractors using case study research. Findings In the first step, control objects in building information models are introduced. Statuses are added to control objects to fulfill defined quality levels related to milestones. In the second step, the control objects with statuses are used to report visual progress and aggregated in an overall progress report. In the third step, overall progress from building information models are connected to activities in an engineering schedule. Originality/value Existing research works related to monitoring and reporting progress using a BIM focus on construction and not on detail engineering. The research demonstrates that actual progress in detail engineering can be visualized and reported through the use of BIM and extracted to activities in an engineering schedule through a three-step process.

scholarly journals ABGS: A System for the Automatic Generation of Building Information Models from Two-Dimensional CAD Drawings

2020 ◽  
Vol 12 (17) ◽  
pp. 6713
Author(s):  
Youngsoo Byun ◽  
Bong-Soo Sohn
Keyword(s):  
Computer Aided Design ◽  
Low Cost ◽  
3D Models ◽  
Automatic Generation ◽  
Information Modeling ◽  
Two Dimensional ◽  
Efficient Design ◽  
Information Models ◽  
Building Information ◽  
Floor Plans

Building Information Modeling (BIM) refers to 3D-based digital modeling of buildings and infrastructure for efficient design, construction, and management. Governments have recognized and encouraged BIM as a primary method for enabling advanced construction technologies. However, BIM is not universally employed in industries, and most designers still use Computer-Aided Design (CAD) drawings, which have been used for several decades. This is because the initial costs for setting up a BIM work environment and the maintenance costs involved in using BIM software are substantially high. With this motivation, we propose a novel software system that automatically generates BIM models from two-dimensional (2D) CAD drawings. This is highly significant because only 2D CAD drawings are available for most of the existing buildings. Notably, such buildings can benefit from the BIM technology using our low-cost conversion system. One of the common problems in existing methods is possible loss of information that may occur during the process of conversion from CAD to BIM because they mainly focus on creating 3D geometric models for BIM by using only floor plans. The proposed method has an advantage of generating BIM that contains property information in addition to the 3D models by analyzing floor plans and other member lists in the input design drawings together. Experimental results show that our method can quickly and accurately generate BIM models from 2D CAD drawings.

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