SCIEPublish

How Does Intelligent Construction Drive Prefabricated Construction from Synergistic Mechanisms to Engineering Applications

Review Open Access

How Does Intelligent Construction Drive Prefabricated Construction from Synergistic Mechanisms to Engineering Applications

Author Information
1
Key Lab of Industrial Fluid Energy Conservation and Pollution Control, Ministry of Education, Qingdao University of Technology, Qingdao 266520, China
2
Beijing Anxing High-Tech New Energy Development Co., Ltd., Beijing 102600, China
3
School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
4
School of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310014, China
5
Hisense Air-Conditioning Co., Ltd., Qingdao 266736, China
6
Hisense Refrigerator Co., Ltd., Qingdao 266071, China
*
Authors to whom correspondence should be addressed.

Received: 08 June 2026 Revised: 09 July 2026 Accepted: 17 July 2026 Published: 24 July 2026

Creative Commons

© 2026 The authors. This is an open access article under the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).

Views:7
Downloads:2
Intell. Sustain. Manuf. 2026, 3(2), 10018; DOI: 10.70322/ism.2026.10018
ABSTRACT: As the construction industry shifts toward industrialization, digitalization, intelligence, and low-carbon development, prefabricated intelligent construction has emerged as a key pathway for enhancing efficiency, quality control, resource utilization, and full life-cycle management. Yet existing studies remain largely confined to single-technology applications, local process optimization, or isolated engineering cases, lacking a systematic grasp of the field’s development trajectory, knowledge structure, research hotspots, and future challenges. Addressing this gap, this study presents a bibliometric review aimed at clarifying the research evolution, core knowledge domains, technological frontiers, and application-oriented challenges in prefabricated intelligent construction. Based on the Web of Science Core Collection, 583 journal articles published from 2015 to 2025 were retained after standardized search and screening. Using VOSviewer and bibliometrix, the study analyzed publication trends, subject distribution, national and institutional collaboration, author networks, keyword co-occurrence, thematic clustering, and research frontiers. Compared with traditional narrative reviews, this approach integrates quantitative bibliometric analysis with thematic content interpretation, constructing a panoramic and dynamic analytical framework for the field. Research shows that prefabricated intelligent construction underwent a leap from initial exploration to rapid expansion during 2015–2025, with publications and citations from 2023–2025 accounting for 76.16% and 84.07% of the total sample, respectively, establishing it as an active research frontier. In the global landscape, China contributes prominently in output volume, while Australia, the United States, the United Kingdom, and Germany demonstrate relatively high per-publication impact. The disciplinary structure is dominated by engineering, construction, and building technology, supported by multidisciplinary intersections, forming three major research hotspots: the integration of prefabricated construction and intelligent technologies, process innovation and intelligent equipment, and structural performance and engineering applications. In essence, this field represents a full life-cycle construction paradigm arising from the deep coupling of industrialization, digitalization, intelligence, and performance control. Future breakthroughs are needed in four dimensions: full life-cycle data standards, digital twin-driven closed-loop platforms, equipment–process collaborative optimization, and multi-scenario engineering validation to drive the transition toward large-scale application.
Keywords: Prefabricated construction; Intelligent construction; Life-cycle management; Intelligent equipment; Construction inspection and monitoring; Structural performance; Engineering applications
TOP