IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Customized Data Capture for BIM: Using APIs and Visual Programming

Customized Data Capture for BIM: Using APIs and Visual Programming
View Sample PDF
Author(s): Kjartan Gudmundsson (KTH Royal Institute of Technology, Sweden), Giuseppe Digregorio (KTH Royal Institute of Technology, Sweden)and Jiayu Cui (KTH Royal Institute of Technology, Sweden)
Copyright: 2023
Pages: 19
Source title: Research Anthology on BIM and Digital Twins in Smart Cities
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-7548-5.ch010

Purchase

View Customized Data Capture for BIM: Using APIs and Visual Programming on the publisher's website for pricing and purchasing information.

Abstract

Building information models (BIMs) make it possible to share structured data in the planning and building process and during the live cycle of the building. The models can be enrichened with information in all stages from planning to end-of-life. Predefined information requirements, data structures, and file formats allow the model to be used for design, cost planning, and time scheduling as well as analysis of building performance, and ideally also for facilities management. This chapter describes the possibilities of using application programming interfaces (APIs) to enhance the usefulness of BIM models. This provides the user with the possibility of creating own applications with real time bidirectional data exchange. Of particular interest is the exchange of data with web-based data sources. The applicability is illustrated with examples of environmental analysis based on web-based data and the use of web-based forms to enrichen BIM models with data input from building users.

Related Content

Kemal Yasin Göka, Halil Ibrahim Yiğit, Olcay Polat, Görkem Gülhan, Aşkıner Güngör, Soner Haldenbilen, Halim Ceylan. © 2024. 25 pages.
Hasibul Islam Lingkon, Syed Imran Ali. © 2024. 18 pages.
Metin Mutlu Aydin. © 2024. 21 pages.
Jorge Chicaiza Vaca, Markus Rabe, Jesus Gonzalez-Feliu. © 2024. 22 pages.
Aysun Aygün Oğur, Mehmet Penpecioğlu, Sezen Savran Penpecioğlu. © 2024. 21 pages.
Olcay Polat, Aşkıner Güngör, Soner Haldenbilen, Halim Ceylan. © 2024. 20 pages.
Tayfun Salihoğlu. © 2024. 26 pages.
Body Bottom