Knowledge Engineering-Based Quality Management in Prefabricated Construction
Publication: ICCREM 2023
ABSTRACT
Prefabricated construction (PC) is an increasingly popular construction approach that offers numerous benefits, including greater efficiency, improved safety, and reduced material waste. However, this approach also introduces a new set of quality risks due to the complex process of off-site prefabrication, transportation, and on-site assembly. Currently, quality management (QM) in PC is mainly conducted through manual efforts that rely on human experience and established standards. This approach can be both inefficient and susceptible to human bias, which can lead to quality issues. To address these concerns, this study proposes a knowledge engineering-based framework that utilizes knowledge modeling and reasoning to enable intelligent QM. The framework consists of four layers: data acquisition, knowledge generation, knowledge storage, and value-added application. The proposed framework was applied to a case scenario, and the results showed that the open information stored in the knowledge base can guide the quality control process, and vice versa, enabling the quality control process to promote the updating of the knowledge base.
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Information & Authors
Information
Published In
ICCREM 2023
Pages: 1171 - 1179
History
Published online: Nov 30, 2023
ASCE Technical Topics:
- Artificial intelligence and machine learning
- Business management
- Computer programming
- Computing in civil engineering
- Construction engineering
- Construction industry
- Construction management
- Construction materials
- Construction wastes
- Engineering materials (by type)
- Environmental engineering
- Human and behavioral factors
- Knowledge-based systems
- Management methods
- Materials engineering
- Offsite construction
- Pollutants
- Practice and Profession
- Quality control
- Solid wastes
- Waste management
- Wastes
Authors
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