Safe and effective construction management requires tools for reducing delays, eliminating reworks, and avoiding accidents. Unfortunately, challenges still exist in current construction practices for enabling real-time interactions among project participants, field discoveries, and massive data. Extended reality (i.e., XR) could help to establish immersive and interactive virtual environments that enable real-time information exchange among humans, cyber processes, and physical environments during construction. However, limited studies have synthesized potentials, challenges, and scenarios of XR for ensuring construction safety and efficiency. This study provides a critical review that synthesizes XR in construction management. First, the authors used the PRISMA method to screen studies related to XR in construction management. Seventy-nine studies were selected and comprehensively analyzed. The authors conducted a bibliometric analysis to comprehend the spatiotemporal distributions of the selected studies. Then, the selected studies were classified into three categories: (1) progress control, (2) quality control, and (3) safety management. The authors also synthesized information for XR applications in various construction management scenarios and summarized the challenges related to XR applications. Finally, this review shed light on future research directions of XR for safe and effective construction management.
Intelligent construction and management processes are essential to ensure the efficiency of planting and maintenance of landscapes in large-scale projects. Unfortunately, various challenges still exist for achieving such a vision. For instance, creating detailed models of various plants to precisely capture the spatiotemporal changes is challenging. Moreover, transmitting massive plant-related data in time for project coordination and remote maintenance is also difficult through traditional landscape management practices. Integrated use of building information modeling (BIM) and mixed reality (MR) techniques could help establish digital representations of various plants with semantic information. Such integration of BIM and MR offers instinctual interactions by blending the physical and digital worlds. This study proposed an intelligent construction and management framework through BIM and MR to (1) establish detailed models of various plants, (2) capture spatiotemporal changes of plants across four seasons for model updating, and (3) establish a real-time data transmission method for effective project coordination and remote maintenance of various plants. The authors used the Jinhu Park project in the Xiong’an New District of China as a case study to validate the proposed method. Results show that the proposed method could support the sustainable development of landscapes in real practice.
Compliance checking on the topological spatial relationships of building elements is vital for ensuring the safety and the quality of buildings. However, the complex topological spatial relationships of buildings are not usually expressed in the design scheme directly. Manual checking is still needed to analyze the design scheme and extract the spatial relationships. Such manual checking is always time consuming and prone to error. Therefore, this study has proposed a compliance checking method based on a building information model (BIM) and building ontologies for the automatic checking of topological spatial relationships. Firstly, the topological spatial relationships are well captured and represented according to the location relation of building elements. The checking rules are further established based on regulations. Then, the design information is extracted from the design model, mainly including the location information of building elements. Next, the review ontology is developed, and the design information is organized based on the ontology. Finally, the checking is completed based on the ontology and checking rules. The authors have validated the proposed method through a case study. The results show that the proposed method could help to achieve automatic compliance checking on topological spatial relationships of building elements.
Context Intelligent lifecycle management is essential to ensure the sustainable development of landscapes. Unfortunately, various challenges still exist in achieving model creation, data transmission, project coordination, and plant maintenance. Objectives Integrated use of Building Information Modeling (BIM) and Mix Reality (MR) techniques could help establish digital representations of objects with semantic information. Such integration of BIM and MR offers instinctual interactions by blending the physical and digital worlds. Methods The authors propose a framework based on the BIM and MR for intelligent management during the planting and maintenance processes of landscapes. The framework includes two parts, 1) to establish a parameterized method for detailed plant model creation based on CAD, Excel, Dynamo, and Revit, and 2) to establish a collaborative management method for plant maintenance through BIM model and MR device. Results The intelligent lifecycle management framework proposed in this study can achieve 1) establish detailed models for various plants, 2) capture spatiotemporal changes of plants across four seasons for model updating, 3) allow real-time data transmission for effective project coordination, and 4) remote maintenance of various plants. Furthermore. The authors use the Jinhu Park project in the Xiong'an New District of China as a case study to validate the proposed framework. Conclusions Results show that the integrated use of BIM and MR for lifecycle management of landscapes could help to improve the level of collaboration among multiple participants and the quality of plant lifecycle management. The proposed framework could support the sustainable development of landscapes in real practice.
In recent years, safety issues involving foundation pits have attracted extensive attention in the industry. The external angle of the foundation pit bears a greater load and is more prone to collapsing. Anchor support technology is one of the most widely used support technologies in construction engineering, but it has the problem of anchor rod crossing and colliding from the initial design stage, and this reduces anchoring force and eventually leads to many safety issues. Compared with traditional methods, Building Information Modeling (BIM) technology can save a lot of time as well as reduce costs, and applying it to concealed engineering can solve the problems that exist during the design stage and reduce unpredictable construction risks. This study proposes an optimization method based on BIM that can accurately and quickly optimize the drilling of anchor rods in the external angles of foundation pits. The results show that the proposed method can reduce the number of anchor rod collision points at the external angle of the foundation pit, minimize the loss of horizontal force caused by anchor rod collision, and ensure the safety and stability of the foundation pit support system.
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