Visualization of Component Status Information of Prefabricated Concrete Building Based on Building Information Modeling and Radio Frequency Identification: A Case Study in China

Abstract

In view of the problems such as the basic properties, usage, and location of prefabricated concrete building components, which are easy to be omitted, missed, and difficult to query in the field management, this study introduces building information modeling (BIM) and radio frequency identification (RFID) technologies to visualize the state information of prefabricated concrete components, such as component type, manufacturer, location, and temperature. In the design stage, a new RFID family can be built in the actual model in order to solve the lack of definition of RFID family through the Industry Foundation Class (IFC) standard, and the databases of BIM and RFID can be connected with C# language, realizing the effective integration of the two engineering technologies. In the application stage, through the secondary development of Revit, the information connection between PC terminal and RFID equipment is completed, and the component data collected by RFID tags are transmitted to the BIM model to realize the integration and visualization of prefabricated component state information. In this study, the traceability of prefabricated components of prefabricated concrete buildings can be improved, providing a basis for quality responsibility tracking in the later period, reducing unnecessary waste of human and material resources and helping to maximize economic benefits.

Mapping the Knowledge Domains of Emerging Advanced Technologies in the Management of Prefabricated Construction

“…EAT, as a series of innovative management technologies that promotes the transformation of prefabricated construction from traditional, outdated and inefficient to advanced, intelligent and efficient, has attracted widespread attention in recent years. This widespread concern can be primarily explained by the inherent advantages of these technologies, including, but not limited to, achieving the real-time visibility and traceability of prefabricated components [10][11][12][13][14], low building energy consumption [15][16][17], reduced schedule risk [1,18,19], time-and cost-saving, efficiency improvement [2,[20][21][22], quality control improvement [7,23,24], accelerated lean construction [25], informatisation and intelligence of management [11,13,22,26,27], low pollution, compliance with sustainability standards [28,29], high safety and health standards [30,31] and integrated and improved supply chain management [18,23,[32][33][34][35][36].…”

“…Other keywords that most frequently co-occurred with prefabrication included modular construction, BIM, construction, point cloud, sustainability, innovation, lean construction, IoT and genetic algorithm. The clusters and connecting lines between keyword nodes in Figure 5 show these main research areas in EAT related to MPC: (1) EAT research in MPC is often linked to BIM [8,24], which is in the same cluster with RFID [10][11][12]22,[45][46][47][48][49][50] and energy saving [51]; (2) EAT in MPC does not simply apply to modular construction [52,53] but involves off-site construction [54]; (3) EAT in MPC is also widely used in prefabricated construction for construction project management [55], supply chain management [56] and digital construction using IoT [57], and literature review is one of the main research methods used in investigating EAT related to MPC. Some scholars have also studied the status quo of EAT research in the MPC field through the form of literature review [58,59]; (4) Point cloud [60], laser scanning using lidar and photogrammetry [61,62] and machine learning [63] are used in the construction progress monitoring [64] and quality control [65] of prefabricated construction; (5) Genetic algorithm is also used to optimise structural design and sustainable design in prefabrication [66,67]; (6) 3D printing and deep learning are also gradually applied in the MPC field for digital construction, promoting the transformation of the traditional construction industry to construction automation [58,68,69]; (7) Simulation is also often used in the MPC field for life cycle assessment...…”

IoT-Based Intelligent Construction System for Prefabricated Buildings: Study of Operating Mechanism and Implementation in China

“…Identify, locate and track prefabricated components through the connectivity of the IoT to realize the visualization and traceability of component information and further improve the prefabricated supply chain system. [12,34,35] Construction system Plan and optimize the construction process through real-time collection, integration and interaction of construction production process information. [6,8,14,21,36] Construction site…”

“…[ [37][38][39][40] Regarding the level of prefabricated components, the IoT, RFID and GPS can help to realize the functions of identification, tracking, and positioning in construction [12]. Ma et al [34] improved the traceability of prefabricated components by a secondary development of Revit to provide a basis for quality responsibility tracking in the later period, reducing the unnecessary waste of human and material resources and helping to maximize economic benefits. Similarly, Du et al [35] proposed the information tracking and supply mechanism for the prefabricated supply chain to facilitate the information interaction between the upstream and downstream industry chains.…”

Government Supervision Mode Selection in the Promotion Period of Prefabricated Construction Using Evolutionary Game

“…In order to effectively implement government supervision, optimization of information system based on the issues is necessary. en, many scholars further studied the optimization of information systems and proposed a digital management system that combines the concept of BIM5D with radio frequency identification device technology [25][26][27], and based on this, the database of the above system is connected to the C # language to achieve the effective integration of the two engineering technologies and the integration and visualization of the status information of the manufacturing components to provide guarantee for later quality monitoring [28].…”