Integrating Building Information Modelling and Geographic Information Systems for Large-Scale Facilities Asset Management: A Critical Review

2009 ◽  
Author(s):  
X. Zhang ◽  
Y. Arayici ◽  
S. Wu ◽  
C. Abbott ◽  
G. Aouad
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Asset Management ◽  
Critical Review ◽  
Large Scale ◽  
Geographic Information ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information

ANALISIS SPASIAL JARINGAN KABEL LISTRIK PADA BUILDING INFORMATION MODELLING BERBASIS 3D-GIS (Studi Kasus di Gedung Freeport Kampus ITB Ganesha)

2021 ◽  
pp. 203
Author(s):  
Satrio Ramadanto ◽  
Deni Suwardhi ◽  
Akhmad Riqqi ◽  
Albertus Deliar
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
3D Gis ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information

Building Information Modelling (BIM) merupakan sebuah sistem yang umum digunakan sebagai penunjang pembangunan gedung ataupun bangunan lainnya. Namun demikian, BIM memiliki keterbatasan untuk melakukan analisis aspek bangunan yang bersifat keruangan atau spasial. Sementara itu, Geographic Information System (GIS) merupakan sebuah sistem yang memiliki kemampuan untuk melakukan proses analisis yang bersifat spasial. Oleh karena itu, integrasi data antara kedua sistem tersebut dapat memberikan solusi untuk melakukan proses analisis spasial pada BIM. Penelitian ini dilakukan untuk melakukan integrasi data BIM dengan GIS serta membangun basis data spasial data tersebut dengan studi kasus berupa analisis spasial jaringan kabel listrik pada Gedung Freeport Kampus ITB Ganesha. Metode penelitian terdiri dari tiga tahapan umum yaitu konversi data BIM ke dalam GIS, pembangunan basis data spasial, serta analisis jaringan kabel listrik dengan menggunakan algoritma Dijkstra. Hasil akhir dari penelitian ini berupa basis data spasial jaringan kabel listrik Gedung Freeport Kampus ITB Ganesha beserta mekanisme analisis spasial jaringan kabel listrik tersebut menggunakan algoritma Dijkstra. Analisis spasial jaringan kabel listrik tersebut diharapkan dapat digunakan pada kegiatan pemeliharaan serta perawatan kelistrikan gedung.

scholarly journals Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods

2021 ◽  
Vol 10 (11) ◽  
pp. 748
Author(s):  
Ferdinand Maiwald ◽  
Christoph Lehmann ◽  
Taras Lazariv
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Image Retrieval ◽  
Pose Estimation ◽  
Large Scale ◽  
Feature Matching ◽  
Geographic Information ◽  
Content Based Image Retrieval ◽  
Matching Methods ◽  
Historical Images

The idea of virtual time machines in digital environments like hand-held virtual reality or four-dimensional (4D) geographic information systems requires an accurate positioning and orientation of urban historical images. The browsing of large repositories to retrieve historical images and their subsequent precise pose estimation is still a manual and time-consuming process in the field of Cultural Heritage. This contribution presents an end-to-end pipeline from finding relevant images with utilization of content-based image retrieval to photogrammetric pose estimation of large historical terrestrial image datasets. Image retrieval as well as pose estimation are challenging tasks and are subjects of current research. Thereby, research has a strong focus on contemporary images but the methods are not considered for a use on historical image material. The first part of the pipeline comprises the precise selection of many relevant historical images based on a few example images (so called query images) by using content-based image retrieval. Therefore, two different retrieval approaches based on convolutional neural networks (CNN) are tested, evaluated, and compared with conventional metadata search in repositories. Results show that image retrieval approaches outperform the metadata search and are a valuable strategy for finding images of interest. The second part of the pipeline uses techniques of photogrammetry to derive the camera position and orientation of the historical images identified by the image retrieval. Multiple feature matching methods are used on four different datasets, the scene is reconstructed in the Structure-from-Motion software COLMAP, and all experiments are evaluated on a newly generated historical benchmark dataset. A large number of oriented images, as well as low error measures for most of the datasets, show that the workflow can be successfully applied. Finally, the combination of a CNN-based image retrieval and the feature matching methods SuperGlue and DISK show very promising results to realize a fully automated workflow. Such an automated workflow of selection and pose estimation of historical terrestrial images enables the creation of large-scale 4D models.

scholarly journals Building information modelling to support maintenance management of healthcare built assets

Facilities ◽  
2019 ◽  
Vol 37 (7/8) ◽  
pp. 415-434 ◽  
Author(s):  
Nadeeshani Wanigarathna ◽  
Keith Jones ◽  
Adrian Bell ◽  
Georgios Kapogiannis
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Conceptual Framework ◽  
Asset Management ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Wide Range ◽  
Building Information ◽  
Use Phase

Purpose This paper aims to investigate how digital capabilities associated with building information modelling (BIM) can integrate a wide range of information to improve built asset management (BAM) decision-making during the in-use phase of hospital buildings. Design/methodology/approach A comprehensive document analysis and a participatory case study was undertaken with a regional NHS hospital to review the type of information that can be used to better inform BAM decision-making to develop a conceptual framework to improve information use during the health-care BAM process, test how the conceptual framework can be applied within a BAM division of a health-care organisation and develop a cloud-based BIM application. Findings BIM has the potential to facilitate better informed BAM decision-making by integrating a wide range of information related to the physical condition of built assets, resources available for BAM and the built asset’s contribution to health-care provision within an organisation. However, interdepartmental information sharing requires a significant level of time and cost investment and changes to information gathering and storing practices within the whole organisation. Originality/value This research demonstrated that the implementation of BIM during the in-use phase of hospital buildings is different to that in the design and construction phases. At the in-use phase, BIM needs to integrate and communicate information within and between the estates, facilities division and other departments of the organisation. This poses a significant change management task for the organisation’s information management systems. Thus, a strategically driven top-down organisational approach is needed to implement BIM for the in-use phase of hospital buildings.

scholarly journals Building Information Modelling (BIM) for Facility Management (FM): Industry Survey of Building Assets

2019 ◽  
Vol 3 (1) ◽  
pp. 18-26 ◽  
Author(s):  
Brandi Williams ◽  
Brian Haines ◽  
Kathy Roper ◽  
Eunhwa Yang
Keyword(s):  
Data Management ◽  
Asset Management ◽  
Current Practice ◽  
Management Strategies ◽  
Facility Management ◽  
Future Research ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Industry Standards ◽  
Building Information

ABSTRACT The purpose of this paper is to discover the current methods that facility managers use to manage and track assets and identify a set of attributes for Building Information Modelling (BIM) that can improve the efficiency of the current facility management (FM) practice. A survey of over 100 facility management professionals addressed demographics such as industry sector, number of buildings managed, and use of industry standards or internally developed guidelines for data management. This information is correlated with their current asset management strategies to identify minimum sets of attributes that may be used for an FM-specific BIM. In addition, the survey asked the FM professionals their opinion on the importance of specific asset attributes and data management information that could be included in a BIM for FM. The findings of this paper indicate that there is a consensus on basic information (asset type, unique identification, manufacturer, model number, serial number) needed for asset management, and that there is no generally accepted system on how this is done in current practice. FM professionals and software providers may use the information in this paper to establish baseline sets of data to include in BIM during the design phase of projects. This paper provides insight and data as to the current practice of asset management by facility managers. Understanding the actual needs of the FM industry will assist in future research to implement BIM for FM.

scholarly journals COMPLEMENTARITY OF HISTORIC BUILDING INFORMATION MODELLING AND GEOGRAPHIC INFORMATION SYSTEMS

2016 ◽  
Vol XLI-B5 ◽  
pp. 437-443 ◽  
Author(s):  
X. Yang ◽  
M. Koehl ◽  
P. Grussenmeyer ◽  
H. Macher
Keyword(s):  
Information Systems ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Point Clouds ◽  
3D Models ◽  
Geographical Information ◽  
Building Information Modelling ◽  
Historic Building ◽  
Information Modelling ◽  
Building Information

In this paper, we discuss the potential of integrating both semantically rich models from Building Information Modelling (BIM) and Geographical Information Systems (GIS) to build the detailed 3D historic model. BIM contributes to the creation of a digital representation having all physical and functional building characteristics in several dimensions, as e.g. XYZ (3D), time and non-architectural information that are necessary for construction and management of buildings. GIS has potential in handling and managing spatial data especially exploring spatial relationships and is widely used in urban modelling. However, when considering heritage modelling, the specificity of irregular historical components makes it problematic to create the enriched model according to its complex architectural elements obtained from point clouds. Therefore, some open issues limiting the historic building 3D modelling will be discussed in this paper: how to deal with the complex elements composing historic buildings in BIM and GIS environment, how to build the enriched historic model, and why to construct different levels of details? By solving these problems, conceptualization, documentation and analysis of enriched Historic Building Information Modelling are developed and compared to traditional 3D models aimed primarily for visualization.

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