Automatic information retrieval with semantic analysis for green building evaluation

Qiang Du; Yaxian Li; Sheng Xu; Yunqing Yan; Yani Zhang

doi:10.1117/12.2613683

10 November 2021 Automatic information retrieval with semantic analysis for green building evaluation

Qiang Du, Yaxian Li, Sheng Xu, Yunqing Yan, Yani Zhang

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 1205009 (2021) https://doi.org/10.1117/12.2613683
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

In the pursuit of sustainable cities, many countries have established the rating systems to label qualified projects as “green buildings” to promote the design and operation of sustainable building. However, the rating and labeling process is often time-consuming and skill-demanding due to the standards in multiple levels and the diversity of construction projects. This paper developed a framework that partially automated the process of green building evaluation to reduce repetitive and demanding manual work for rating experts. It used Natural Language Processing (NLP) to extract and organize semantic information from standards, and automatically identify and classify items. Computer algorithms and BIM technology could achieve the information of calculation reports and related drawings files extraction and evaluation. The proposed rulebased framework was verified by an example that automatically calculated the score in material saving. Compared with the results of manual review, each project could save an average of 110 minutes, and more than 80% of the projects could reach 90% accuracy. The framework can support evaluation for experts and promote the development of automated evaluation of green buildings.

Citation Download Citation

Qiang Du, Yaxian Li, Sheng Xu, Yunqing Yan, and Yani Zhang "Automatic information retrieval with semantic analysis for green building evaluation", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 1205009 (10 November 2021); https://doi.org/10.1117/12.2613683

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available