Advances in Civil Engineering · 2022 · 75 citations · 72 references
ComputingCloud ComputingConstruction ManagementAutomationConstruction TechnologyEdge ComputingAugmented RealityConstruction AutomationEdge DevicesEdge-cloud ArchitectureEdge-cloud IntegrationFog ComputingConstruction Process AutomationEdge Network AutomationEdge-ai IntegrationEnvironmental PollutionRadio-frequency IdentificationRadio-frequency Identification TagsSmart Building Systems
The construction industry is essential for sustainable infrastructure, yet traditional practices cause pollution and high energy use, and emerging technologies can mitigate these impacts and improve operations. This study investigates the importance of automation in construction by examining emerging technologies such as IoT, RFID, BIM, AR, and VR. The authors analyze how integrating these technologies with edge and fog computing enables AI analytics at the network edge for real‑time construction insights. They recommend cloud‑assisted AR/VR, AI‑IoT integration, 4D printing, blockchain, and smart robotics to further enhance automation in the industry.
According to sustainable development goals, the construction industry is one of the vital industries that can build resilient and sustainable infrastructure for human settlements. As the traditional approaches in the construction industry are causing distinct challenges including environmental pollution and excess energy usage, however, the integration of emerging technologies will assist us to reduce the impact and also enhance the activities in the construction industry. Motivated by the facts, this study aims to address the significance of automation in the construction industry with distinct emerging technologies like the Internet of things (IoT), automation, radio frequency identification (RFID), building information modeling (BIM), augmented reality (AR), and virtual reality (VR). The large amount of data generated from the IoT, RFID, BIM, and AR/VR provided an opportunity for big data and artificial intelligence (AI) to extract meaningful insights related to the events in the construction industry. Furthermore, edge and fog computing technology encourages us to implement AI at the edge network for analytics at the end of the edge device. Based on the above analysis, the article discussed recommendations that could assist in further enhancement and implementation of automation in the construction industry. Cloud‐assisted AR/VR, integration of AI with IoT infrastructure, 4D printing, adopting blockchain in the construction industry, and smart robotics are the recommendation addressed in this article.
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