Artificial Intelligence and Robotics for Prefabricated and Modular Construction: A Systematic Literature Review

被引:62
作者
Pan, Mi [1 ]
Yang, Yi [1 ]
Zheng, Zhenjie [1 ]
Pan, Wei [1 ]
机构
[1] Univ Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong 999077, Peoples R China
关键词
Artificial intelligence; Robotics; Modular construction; Prefabrication; Modular building; DYNAMIC-RESPONSE; DESIGN; BUILDINGS; OPTIMIZATION; AUTOMATION; TECHNOLOGIES; METHODOLOGY; PERFORMANCE; SIMULATION; DIALECTICS;
D O I
10.1061/(ASCE)CO.1943-7862.0002324
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Prefabrication and modularization have attracted much attention in building construction, and they are becoming increasingly important for the betterment of society. To fully benefit from prefabricated and modular construction, the application of artificial intelligence and robotics (AIR) is widely recognized as essential, but it has not yet been systematically studied. This paper aims to explore future research directions on AIR for prefabricated and modular construction through a systematic literature review drawing on a concept-methodology-value philosophical framework. The analysis involves 97 published journal articles carefully identified through the Web of Science and Scopus databases. The review specifically addresses four research questions aligned with the framework to synthesize previous research activities, and the paper proposes five directions that depict future research and practices: integrated AIR for large-scale modularization, multi-dimensional project management, intelligent postconstruction management, interdisciplinarity and interoperability, and moving beyond technical solutions. The findings and the philosophical framework should benefit succeeding exploration and practice in the field.
引用
收藏
页数:21
相关论文
共 103 条
[1]   Improvement of transportation cost estimation for prefabricated construction using geo-fence-based large-scale GPS data feature extraction and support vector regression [J].
Ahn, SangJun ;
Han, SangUk ;
Al-Hussein, Mohamed .
ADVANCED ENGINEERING INFORMATICS, 2020, 43
[2]  
Alpaydin E, 2014, ADAPT COMPUT MACH LE, P1
[3]   Integrated production planning and control system for a panelized home prefabrication facility using simulation and RFID [J].
Altaf, Mohammed Sadiq ;
Bouferguene, Ahmed ;
Liu, Hexu ;
Al-Hussein, Mohamed ;
Yu, Haitao .
AUTOMATION IN CONSTRUCTION, 2018, 85 :369-383
[4]  
[Anonymous], 2018, Redefining Defence Innovation: An industry blueprint for NATOs Rapid Adoption Action Plan
[5]  
[Anonymous], 2004, Keele University Technical Report
[6]   Applying Basic Control Theory Principles to Project Control: Case Study of Off-Site Construction Shops [J].
Azimi, Reza ;
Lee, SangHyun ;
AbouRizk, Simaan M. .
JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2012, 26 (06) :681-690
[7]   Design of prefabricated wall-floor building systems using meta-heuristic optimization algorithms [J].
Baghdadi, Abtin ;
Heristchian, Mahmoud ;
Kloft, Harald .
AUTOMATION IN CONSTRUCTION, 2020, 114
[8]   FutureHome: An integrated construction automation approach [J].
Balaguer, C ;
Abderrahim, M ;
Navarro, JM ;
Boudjabeur, S ;
Aromaa, P ;
Kahkonen, K ;
Slavenburg, S ;
Seward, D ;
Bock, T ;
Wing, R ;
Atkin, B .
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2002, 9 (01) :55-66
[9]   Intelligence approach to production planning system for bespoke precast concrete products [J].
Benjaoran, Vacharapoom ;
Dawood, Nashwan .
AUTOMATION IN CONSTRUCTION, 2006, 15 (06) :737-745
[10]   Construction robotics [J].
Bock T. .
Autonomous Robots, 2007, 22 (3) :201-209