Study on the Evaluation Method of Green Construction Based on Ontology and BIM

Many problems and issues affect the green construction process. Inaccurate assessment is one of the important factors for green construction. The objective of this study is to propose a BIM and ontology-based approach that enables the evaluation information of green construction to be inferred from...

Full description

Saved in:
Bibliographic Details
Published in:Advances in civil engineering 2019, Vol.2019 (2019), p.1-20
Main Authors: Yuan, Jingfeng, Zhou, Wentao, Wang, Xuerong, Xu, Zhao
Format: Article
Language:English
Subjects:
Automation
Building management systems
Civil engineering
Computer simulation
Environmental protection
Green buildings
Indicators
Inference
Knowledge bases (artificial intelligence)
Maintenance
Ontology
Optimization
Project management
Sustainability
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Many problems and issues affect the green construction process. Inaccurate assessment is one of the important factors for green construction. The objective of this study is to propose a BIM and ontology-based approach that enables the evaluation information of green construction to be inferred from a knowledge base in order to achieve scheme optimization. To automate the inference, this study established the BIM ontology that consists of BIM shared ontology and BIM construction ontology. First, IFC extension is adopted in green construction assessment system to generate attribute sets. IFC-based parameters stored in BIM models are mapped to OWL and will be used as the data source of the evaluation indicators. Then, BIM-shared ontology and BIM construction ontology are defined. Protégé is employed to simulate the evaluation indicator system. Last, utilizing BIM knowledge base, through the construction of SWRL rule language and the Drools inference, the scores of evaluation indicators could be obtained. The experimental results demonstrated that BIM knowledge base for the evaluation of green construction could realize the sharing, maintenance, and acquisition of knowledge among different participants of the project and improve the management of green construction. The proposed ontological inference of evaluation item enables an automated search of the aspects needing improvements in green construction and assist project managers in using BIM data more easily and effectively.
ISSN:1687-8086
1687-8094
DOI:10.1155/2019/5650463