A Conceptual Framework for Collaborative Development of Intelligent Construction and Building Industrialization

Guo, Zhenxu; Li, Lihong

doi:10.3389/fenvs.2022.904518

Cited by 5 publications

(3 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Many scholars have proposed different interpretations of intelligent construction according to their respective research. For instance, Guo and Li [22] view the core idea of intelligent building as the organic combination of informatization, industrialization, and other fields through the introduction of advanced technology, all kinds of original labor organization, management mode, management philosophy, such as organic structure transformation, and the organic combination of various factors to improve building quality, safety, and sustainability. The goal is to achieve time savings, cost reductions, and service optimization.…”

Section: Connotation Of Intelligent Constructionmentioning

confidence: 99%

Development of an Evaluation System for Intelligent Construction Using System Dynamics Modeling

Guan,

Liu,

Shen

2024

Buildings

View full text Add to dashboard Cite

Under the new wave of scientific and technological revolution, the construction industry finds itself with a critical need to alter the traditional and outdated production mode through technological innovation in order to realize industry transformation and move towards a new era characterized by digitalization, informatization, and intelligence. As intelligent construction is the indispensable pathway for the transformation and upgrading of the construction industry, it is of great significance to conduct in-depth research on its evaluation indicators and causality. This paper adopts the system dynamics method, based on the overall structure of intelligent construction, extracts the causality chain and causal feedback loop of intelligent construction, and presents a causality diagram and system dynamics diagram to build a robust system dynamics model for intelligent construction. On this basis, an evaluation index system for intelligent construction is constructed from the five dimensions—investment, design, construction, operation, and environment—for a holistic assessment of the current state of intelligent construction. The research aims to provide a valuable reference for professionals focusing on intelligent construction and the broader development of the industry.

show abstract

Section: Connotation Of Intelligent Constructionmentioning

confidence: 99%

Development of an Evaluation System for Intelligent Construction Using System Dynamics Modeling

Guan,

Liu,

Shen

2024

Buildings

View full text Add to dashboard Cite

show abstract

“…Based on the aforementioned analyses pertaining to the domain of intelligent construction, this paper defines the concept of the intelligent construction company that is the concern of this study. It refers to a construction and management company that utilizes advanced technologies and intelligent tools to digitize and automate the entire construction process [1,10,49]. Further, it narrows down to technological innovation.…”

Section: (8) Information Managementmentioning

confidence: 99%

“…This study reviewed the research conducted by Guo, Z. [49], Yan, X. [91], and Li, T. [10] on intelligent construction.…”

Section: Measuring Instrumentmentioning

confidence: 99%

Synergistic Relationship, Agent Interaction, and Knowledge Coupling: Driving Innovation in Intelligent Construction Technology

Chen,

Yu,

Hou

2024

Buildings

View full text Add to dashboard Cite

The core driving force behind innovation in intelligent construction technology is synergistic relationships. It has become common practice to promote synergistic innovation through agent interaction and knowledge coupling in the development of intelligent construction technology. Drawing upon synergetics, social network theory, and the knowledge base view as theoretical frameworks, this research examines the impact of synergistic relationship, agent interaction, and knowledge coupling on innovation in intelligent construction technology. An empirical analysis of 186 questionnaires revealed the following: (1) regarding synergistic relationships, both horizontal synergy and vertical synergy significantly positively impact innovation in intelligent construction technology. (2) Concerning agent interaction, strong interaction serves as a mediator between horizontal synergy and innovation in intelligent construction technology, while weak interaction serves as a mediator between vertical synergy and innovation in intelligent construction technology. (3) Knowledge coupling has a positive moderating effect on innovation in intelligent construction technology under a strong interaction and a negative moderating effect on innovation in intelligent construction technology under a weak interaction. This study contributes to expanding the theory of synergistic relationships and its application in the context of intelligent construction technology. Furthermore, it provides practical insights and guidance for construction companies seeking to enhance innovation in intelligent construction technology through the utilization of agent interaction and knowledge coupling.

show abstract

Applications of digital twin technology in construction safety risk management: a literature review

Luo,

Sun,

et al. 2024

ECAM

View full text Add to dashboard Cite

PurposeWith increasing complexity of construction projects and new construction processes and methods are adopted, more safety hazards are emerging at construction sites, requiring the application of the modern risk management methods. As an emerging technology, digital twin has already made valuable contributions to safety risk management in many fields. Therefore, exploring the application of digital twin technology in construction safety risk management is of great significance. The purpose of this study is to explore the current research status and application potential of digital twin technology in construction safety risk management.Design/methodology/approachThis study followed a four-stage literature processing approach as outlined in the systematic literature review procedure guidelines. It then combined the quantitative analysis tools and qualitative analysis methods to organize and summarize the current research status of digital twin technology in the field of construction safety risk management, analyze the application of digital twin technology in construction safety risk management and identify future research trends.FindingsThe research findings indicate that the application of digital twin technology in the field of construction safety risk management is still in its early stages. Based on the results of the literature analysis, this paper summarizes five aspects of digital twin technology's application in construction safety risk management: real-time monitoring and early warning, safety risk prediction and assessment, accident simulation and emergency response, safety risk management decision support and safety training and education. It also proposes future research trends based on the current research challenges.Originality/valueThis study provides valuable references for the extended application of digital twin technology and offers a new perspective and approach for modern construction safety risk management. It contributes to the enhancement of the theoretical framework for construction safety risk management and the improvement of on-site construction safety.

show abstract

A Conceptual Framework for Collaborative Development of Intelligent Construction and Building Industrialization

Cited by 5 publications

References 56 publications

Development of an Evaluation System for Intelligent Construction Using System Dynamics Modeling

Development of an Evaluation System for Intelligent Construction Using System Dynamics Modeling

Synergistic Relationship, Agent Interaction, and Knowledge Coupling: Driving Innovation in Intelligent Construction Technology

Applications of digital twin technology in construction safety risk management: a literature review

Contact Info

Product

Resources

About