scholarly journals Cross-Domain Building Models—A Step towards Interoperability

2018 ◽  
Vol 7 (9) ◽  
pp. 363 ◽  
Author(s):  
Laura Knoth ◽  
Johannes Scholz ◽  
Josef Strobl ◽  
Manfred Mittlböck ◽  
Bernhard Vockner ◽  
...  
Keyword(s):  
Information Exchange ◽  
Flood Damage ◽  
Core Model ◽  
Production Environment ◽  
Integration Model ◽  
Geography Markup Language ◽  
Cross Domain ◽  
Building Models ◽  
Building Information ◽  
Information Interchange

Buildings have a multifunctional character, which makes it hard to define just one model for all their diverse functions. As these diverse functions are addressed by actors of different perspectives and domain backgrounds, the possibility to exchange available building information would be desirable. Two main models for the creation of building information are Industry Foundation Classes/Building Information Modelling (IFC/BIM) and City Geography Markup Language (CityGML). As the importance of information interchange has been recognized, several authors have tried to develop intermediate models for the information exchange between IFC/BIM and CityGML, e.g., the Unified Building Model (UBM), the BIM Oriented Indoor data Model (BO-IDM), the Indoor Emergency Spatial Model (IESM) and the BIM-GIS integration model for Flood Damage Assessment (FDA model). Nevertheless, all these models have been created with a certain use in mind. Our focus in this article is to identify common elements amongst these proposed models and to combine them into one “core model” that is as simple as possible, while simultaneously containing all important elements. Furthermore, this base model extracted from proposed intermediate models can then be expanded to serve specific use requirements, while still being exchangeable. To show this cross-domain character of the core model, we validated the resulting model with two cases of use (production environment/maintenance and 3D digital cadaster).

scholarly journals Towards Effective BIM/GIS Data Integration for Smart City by Integrating Computer Graphics Technique

2021 ◽  
Vol 13 (10) ◽  
pp. 1889
Author(s):  
Junxiang Zhu ◽  
Peng Wu
Keyword(s):  
Computer Graphics ◽  
Smart City ◽  
Smart Cities ◽  
Information Modeling ◽  
Data Conversion ◽  
Geography Markup Language ◽  
Building Models ◽  
Digital Twins ◽  
Gis Data ◽  
Building Information

The development of a smart city and digital twin requires the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS), where BIM models are to be integrated into GIS for visualization and/or analysis. However, the intrinsic differences between BIM and GIS have led to enormous problems in BIM-to-GIS data conversion, and the use of City Geography Markup Language (CityGML) has further escalated this issue. This study aims to facilitate the use of BIM models in GIS by proposing using the shapefile format, and a creative approach for converting Industry Foundation Classes (IFC) to shapefile was developed by integrating a computer graphics technique. Thirteen building models were used to validate the proposed method. The result shows that: (1) the IFC-to-shapefile conversion is easier and more flexible to realize than the IFC-to-CityGML conversion, and (2) the computer graphics technique can improve the efficiency and reliability of BIM-to-GIS data conversion. This study can facilitate the use of BIM information in GIS and benefit studies working on digital twins and smart cities where building models are to be processed and integrated in GIS, or any other studies that need to manipulate IFC geometry in depth.

scholarly journals A Semantics-Based Approach for Simplifying IFC Building Models to Facilitate the Use of BIM Models in GIS

2021 ◽  
Vol 13 (22) ◽  
pp. 4727
Author(s):  
Junxiang Zhu ◽  
Peng Wu ◽  
Chimay Anumba
Keyword(s):  
Information Modeling ◽  
Markup Language ◽  
Model Simplification ◽  
Geography Markup Language ◽  
Building Models ◽  
Solid Models ◽  
External Objects ◽  
Surface Models ◽  
Level Of Details ◽  
Building Information

Using solid building models, instead of the surface models in City Geography Markup Language (CityGML), can facilitate data integration between Building Information Modeling (BIM) and Geographic Information System (GIS). The use of solid models, however, introduces a problem of model simplification on the GIS side. The aim of this study is to solve this problem by developing a framework for generating simplified solid building models from BIM. In this framework, a set of Level of Details (LoDs) were first defined to suit solid building models—referred to as s-LoD, ranging from s-LoD1 to s-LoD4—and three unique problems in implementing s-LoDs were identified and solved by using a semantics-based approach, including identifying external objects for s-LoD2 and s-LoD3, distinguishing various slabs, and generating valid external walls for s-LoD2 and s-LoD3. The feasibility of the framework was validated by using BIM models, and the result shows that using semantics from BIM can make it easier to convert and simplify building models, which in turn makes BIM information more practical in GIS.

BOT: The building topology ontology of the W3C linked building data group

Semantic Web ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 143-161 ◽  
Author(s):  
Mads Holten Rasmussen ◽  
Maxime Lefrançois ◽  
Georg Ferdinand Schneider ◽  
Pieter Pauwels
Keyword(s):  
Information Exchange ◽  
Real Life ◽  
3D Models ◽  
Maturity Level ◽  
Community Group ◽  
Web Based ◽  
Building Models ◽  
Building Information ◽  
Level 3 ◽  
High Level

Actors in the Architecture, Engineering, Construction, Owner and Operation (AECOO) industry traditionally exchange building models as files. The Building Information Modelling (BIM) methodology advocates the seamless exchange of all information between related stakeholders using digital technologies. The ultimate evolution of the methodology, BIM Maturity Level 3, envisions interoperable, distributed, web-based, interdisciplinary information exchange among stakeholders across the life-cycle of buildings. The World Wide Web Consortium Linked Building Data Community Group (W3C LBD-CG) hypothesises that the Linked Data models and best practices can be leveraged to achieve this vision in modern web-based applications. In this paper, we introduce the Building Topology Ontology (BOT) as a core vocabulary to this approach. It provides a high-level description of the topology of buildings including storeys and spaces, the building elements they contain, and their web-friendly 3D models. We describe how existing applications produce and consume datasets combining BOT with other ontologies that describe product catalogues, sensor observations, or Internet of Things (IoT) devices effectively implementing BIM Maturity Level 3. We evaluate our approach by exporting and querying three real-life large building models.

Case-based reasoning and BIM systems for asset management

2015 ◽  
Vol 5 (3) ◽  
pp. 233-247 ◽  
Author(s):  
Ibrahim Motawa ◽  
Abdulkareem Almarshad
Keyword(s):  
Asset Management ◽  
Information Exchange ◽  
Relevant Information ◽  
Integrated System ◽  
Case Based Reasoning ◽  
Content Type ◽  
Building Maintenance ◽  
Building Models ◽  
Building Information ◽  
Case Based

Purpose – The next generation of Building Information Modelling (BIM) seeks to establish the concept of Building Knowledge Modelling (BKM). The current BIM applications in construction, including those for asset management, have been mainly used to ensure consistent information exchange among the stakeholders. However, BKM needs to utilise knowledge management (KM) techniques into building models to advance the use of these systems. The purpose of this paper is to develop an integrated system to capture, retrieve, and manage information/knowledge for one of the key operations of asset management: building maintenance (BM). Design/methodology/approach – The proposed system consists of two modules; BIM module to capture relevant information and case-based reasoning (CBR) module to capture the operational knowledge of maintenance activities. The structure of the CBR module was based on analysis of a number of interviews and case studies conducted with professionals working in public BM departments. This paper discusses the development of the CBR module and its integration with the BIM module. The case retaining function of the developed system identifies the information/knowledge relevant to maintenance cases and pursues the related affected building elements by these cases. Findings – The paper concludes that CBR as a tool for KM can improve the performance of BIM models. Originality/value – As the research in BKM is still relatively immature, this research takes an advanced step by incorporating the intelligent functions of knowledge systems into BIM-based systems which helps the transformation from the conventional BIM to BKM.

Ontology Engineering Method for Integrating Building Models

2014 ◽  
pp. 151-185 ◽  
Author(s):  
Mohamed El-Mekawy ◽  
Anders Östman
Keyword(s):  
Spatial Information ◽  
Unified Model ◽  
Industry Foundation Classes ◽  
Geography Markup Language ◽  
Building Model ◽  
Building Models ◽  
Information Models ◽  
Semantic Models ◽  
Great Heterogeneity ◽  
Building Information

The Industry Foundation Classes (IFC) and City Geography Markup Language (CityGML) are the two most prominent semantic models for the representation of Building Information Models (BIM) and geospatial objects. IFC and CityGML use different terminologies to describe the same domain, and there is a great heterogeneity in their semantics. For bidirectional conversions between these models, an intermediate Unified Building Model (UBM) is proposed that facilitates the transfer of spatial information from IFC to CityGML and vice versa. A unified model in the current study is defined as a superset model that is extended to contain all the features and objects from both IFC and CityGML building models. The conversion is a two-steps process in which a model is first converted to the unified model and then to the target model.

scholarly journals BIM and IoT: A Synopsis from GIS Perspective

2015 ◽  
Vol XL-2/W4 ◽  
pp. 33-38 ◽  
Author(s):  
U. Isikdag
Keyword(s):  
Information Exchange ◽  
Real Life ◽  
City Management ◽  
Multiple Resources ◽  
Software Companies ◽  
Building Models ◽  
Information Models ◽  
Building Information ◽  
Potential Benefits ◽  
Urban Monitoring

Internet-of-Things (IoT) focuses on enabling communication between all devices, things that are existent in real life or that are virtual. Building Information Models (BIMs) and Building Information Modelling is a hype that has been the buzzword of the construction industry for last 15 years. BIMs emerged as a result of a push by the software companies, to tackle the problems of inefficient information exchange between different software and to enable true interoperability. In BIM approach most up-to-date an accurate models of a building are stored in shared central databases during the design and the construction of a project and at post-construction stages. GIS based city monitoring / city management applications require the fusion of information acquired from multiple resources, BIMs, City Models and Sensors. This paper focuses on providing a method for facilitating the GIS based fusion of information residing in digital building “Models” and information acquired from the city objects i.e. “Things”. Once this information fusion is accomplished, many fields ranging from Emergency Response, Urban Surveillance, Urban Monitoring to Smart Buildings will have potential benefits.

scholarly journals Seismic Damage Semantics on Post-Earthquake LOD3 Building Models Generated by UAS

2021 ◽  
Vol 10 (5) ◽  
pp. 345
Author(s):  
Konstantinos Chaidas ◽  
George Tataris ◽  
Nikolaos Soulakellis
Keyword(s):  
Point Clouds ◽  
Recovery Phase ◽  
Seismic Damage ◽  
Unmanned Aircraft ◽  
Earthquake Scenario ◽  
Geography Markup Language ◽  
3D Point Clouds ◽  
Building Models ◽  
Building Walls ◽  
Oblique Images

In a post-earthquake scenario, the semantic enrichment of 3D building models with seismic damage is crucial from the perspective of disaster management. This paper aims to present the methodology and the results for the Level of Detail 3 (LOD3) building modelling (after an earthquake) with the enrichment of the semantics of the seismic damage based on the European Macroseismic Scale (EMS-98). The study area is the Vrisa traditional settlement on the island of Lesvos, Greece, which was affected by a devastating earthquake of Mw = 6.3 on 12 June 2017. The applied methodology consists of the following steps: (a) unmanned aircraft systems (UAS) nadir and oblique images are acquired and photogrammetrically processed for 3D point cloud generation, (b) 3D building models are created based on 3D point clouds and (c) 3D building models are transformed into a LOD3 City Geography Markup Language (CityGML) standard with enriched semantics of the related seismic damage of every part of the building (walls, roof, etc.). The results show that in following this methodology, CityGML LOD3 models can be generated and enriched with buildings’ seismic damage. These models can assist in the decision-making process during the recovery phase of a settlement as well as be the basis for its monitoring over time. Finally, these models can contribute to the estimation of the reconstruction cost of the buildings.

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.

Perceptual Rules for Building Enhancements in 3D Virtual Worlds

i-com ◽  
2017 ◽  
Vol 16 (3) ◽  
pp. 205-213 ◽  
Author(s):  
Patrick Tutzauer ◽  
Susanne Becker ◽  
Norbert Haala
Keyword(s):  
Virtual Worlds ◽  
Mobile Apps ◽  
Research Question ◽  
Feature Space ◽  
Information Modeling ◽  
Visual Appearance ◽  
Urban Scenes ◽  
Additional Information ◽  
Building Models ◽  
Building Information

AbstractWhile the generation of geometric 3D virtual models has become feasible to a great extent, the enrichment of the resulting urban building models with semantics remains an open research question in the field of geoinformation and geovisualisation. This additional information is not only valuable for applications like Building Information Modeling (BIM) but also offers possibilities to enhance the visual insight for humans when interacting with that kind of data. Depending on the application, presenting users the highest level of detail of building models is often neither the most informative nor feasible way. For example when using mobile apps, resources and display sizes are quite limited. A concrete use case is the imparting of building use types in urban scenes to users. Within our preliminary work, user studies helped to identify important features for the human ability to associate a building with its correct usage type. In this work we now embed this knowledge into building category-specific grammars to automatically modify the geometry of a building to align its visual appearance to its underlying use type. If the building category for a model is not known beforehand, we investigate its feature space and try to derive its use type from there. Within the context of this work, we developed a Virtual Reality (VR) framework that gives the user the possibility to switch between different building representation types while moving in the VR world, thus enabling us in the future to evaluate the potential and effect of the grammar-enhanced building model in an immersive environment.

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