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Buildings
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Intelligence and Automation in Construction Industry
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Intelligence and Automation in Construction Industry

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1621

Special Issue Editors

Dr. Jingjing Guo

E-Mail Website
Guest Editor
College of Civil Engineering, Hunan University, Changsha, 410012, China
Interests: smart construction; defect detection; quality inspection; computer vision; construction management
Prof. Dr. Qian Wang

E-Mail Website
Guest Editor
Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 211189, China
Interests: BIM; LiDAR; quality inspection; 3D reconstruction
Dr. Weiwei Chen

E-Mail Website
Guest Editor
Bartlett School of Sustainable Construction, University College London, 1-19 Torrington Pl, London WC1E 7HB, UK
Interests: digital twins; BIM; facility management; 3D reconstruction; IoT; information interoperability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the integration of intelligent technologies and automation has revolutionized various industries, leading to unprecedented efficiencies and advancements. However, the construction industry, in comparison, has seen limited enhancements in productivity and may even face challenges in this regard. Given the labor-intensive nature of construction, the implementation of artificial intelligence, robotics, and smart technologies has the potential to significantly reduce labor costs while simultaneously enhancing productivity and quality. Crucially, these technologies can contribute to a safer working environment by automating hazardous tasks. Therefore, research in the field of construction is crucial in order to understand the potential benefits and challenges associated with intelligence and automation technologies, and to formulate strategies for their effective and successful implementation. 

The primary aim of this Special Issue is to explore the recent developments and challenges associated with the application of intelligence and automation in construction. Topics include, but are not limited to, the following:

  • Robotics for Construction
  • Computer vision-based construction quality inspection
  • Planning of intelligence and automation techniques
  • Smart construction management
  • AI-driven decision support systems in construction
  • Human–Machine collaboration
  • Intelligent algorithms for construction data analysis
  • Investigation of the challenges in smart construction

Dr. Jingjing Guo
Prof. Dr. Qian Wang
Dr. Weiwei Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • automation
  • robotics
  • human-machine collaboration
  • smart construction

Published Papers (3 papers)

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Research

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20 pages, 8282 KiB  
Article
An Improved Trilateral Localization Technique Fusing Extended Kalman Filter for Mobile Construction Robot
by Lingdong Zeng, Shuai Guo, Mengmeng Zhu, Hao Duan and Jie Bai
Buildings 2024, 14(4), 1026; https://doi.org/10.3390/buildings14041026 - 07 Apr 2024
Cited by 1 | Viewed by 483
Abstract
Semi-open and chaotic environments of building sites are considered primary challenges for the localization of mobile construction robots. To mitigate environmental limitations, an improved trilateral localization technique based on artificial landmarks fusing the extended Kalman filters (EKFs) is proposed in this paper. The [...] Read more.
Semi-open and chaotic environments of building sites are considered primary challenges for the localization of mobile construction robots. To mitigate environmental limitations, an improved trilateral localization technique based on artificial landmarks fusing the extended Kalman filters (EKFs) is proposed in this paper. The reflective intensity of the onboard laser is employed to identify artificial landmarks arranged in the ongoing construction environment. A trilateral positioning algorithm is then adopted and evaluated based on artificial landmarks. Multi-sensor fusion, combined with the EKF, is included to improve the positioning accuracy and reliability of the robot in complex conditions. We constructed validation scenarios in the Gazebo simulation environment to verify the required localization functionality. Concurrently, we established simulated testing environments in real-world settings, where the practicality of the proposed technique was validated through the fitting of ideal and actual localization trajectories. The effectiveness of the proposed technique was corroborated through comparative experimental results. Full article
(This article belongs to the Special Issue Intelligence and Automation in Construction Industry)
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24 pages, 1283 KiB  
Article
Synergistic Relationship, Agent Interaction, and Knowledge Coupling: Driving Innovation in Intelligent Construction Technology
by Wei Chen, Mingyu Yu and Jia Hou
Buildings 2024, 14(2), 542; https://doi.org/10.3390/buildings14020542 - 18 Feb 2024
Viewed by 637
Abstract
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Intelligence and Automation in Construction Industry)
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Review

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21 pages, 3188 KiB  
Review
A Science Mapping Approach-Based Review of Construction Workers’ Safety-Related Behavior
by Jing Feng, Xin Gao, Hujun Li, Baijian Liu and Xiaoying Tang
Buildings 2024, 14(4), 1162; https://doi.org/10.3390/buildings14041162 - 19 Apr 2024
Viewed by 219
Abstract
Promoting safe behaviors among construction workers and mitigating unsafe behaviors is an effective approach to enhancing safety performance in the construction industry. Although progress has been made, the research themes concerning construction workers’ safety-related behaviors (CWSRB) and the detailed progress of [...] Read more.
Promoting safe behaviors among construction workers and mitigating unsafe behaviors is an effective approach to enhancing safety performance in the construction industry. Although progress has been made, the research themes concerning construction workers’ safety-related behaviors (CWSRB) and the detailed progress of each theme remain unclear due to differences in review perspectives and conceptual scopes. This study utilized CiteSpace software (V6.2R3 version) to conduct an analysis of co-authorship networks, co-word networks, and co-citations on 563 published articles in this field from 2013 to 2023. This study’s outcomes highlight several key insights: (1) journals such as Safety Science play a pivotal role in the domain; (2) institutions such as the City University of Hong Kong and Hong Kong Polytechnic University, along with prolific authors like Li, are major contributors to the field; (3) the focus of research has evolved from early organizational factors towards a more diverse range of topics, with deep learning emerging as a significant current research hotspot; (4) this study has identified high-cited literature and 11 primary clusters within the field. Current research focuses on five areas: safety-related behavior concepts, influencing factors and consequences, formation mechanisms, interventions, and applications of new technologies. Establishing clear classification criteria for unsafe behaviors, comprehensively understanding the formation mechanisms of safety-related behaviors, evaluating the effectiveness of intervention strategies, and exploring the practical applications of new technologies are future research directions. This study provides researchers with a holistic view of the present state of research and potential avenues for future exploration, thereby deepening the knowledge and comprehension of stakeholders within this domain. Full article
(This article belongs to the Special Issue Intelligence and Automation in Construction Industry)
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