Optimization of On-site ALC Partition Wall Construction Technology Based on Digital Intelligence Technology
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Graphical Abstract
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Abstract
Faced with the common industry pain points of low efficiency, large material waste, and difficult quality traceability in the construction of traditional autoclaved aerated concrete (ALC) partition walls, it is urgent to establish a practical "BIM+digital intelligence" control system to achieve the coordinated improvement of construction efficiency, resource allocation, and quality accuracy. This article delves into the technical optimization of digital technology in partition wall construction. By constructing a parametric family, precise management of the specifications, material types, and entry plans of autoclaved aerated concrete (ALC) slabs has been achieved. By using drones to collect on-site data, a construction condition model was constructed to simulate vehicle entry routes and material stacking schemes, effectively reducing losses and costs in transportation and stacking processes. BIM software such as Revit was used for model deepening design and accurate material consumption accounting, significantly reducing material waste. This project innovatively adopts the management method of "setting up on-site verification points on a room by room basis", and combines with 720 cloud to conduct visual verification, comparing the consistency between on-site construction and model layout, and ensuring construction accuracy from key links. The practical results show that the "BIM+digital intelligence" ALC partition wall construction management system effectively shortens the construction period and reduces construction costs. This project has saved a total of 10 days of construction time, reduced 239 ALC partition wall panels, and saved about 52000 yuan in costs. This system provides feasible solutions for solving the problems of construction efficiency and cost control in the construction industry, and also contributes replicable and promotable practical experience to the intelligent transformation and sustainable development of the industry.
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