Domestic construction companies are rapidly expanding their use of artificial intelligence (AI), but the industry consensus is that they are still in the demonstration phase. Currently, AI is primarily applied in clear operational areas such as safety management, quality control, process management, and document review.
According to the construction industry on June 22, Hyundai Engineering & Construction's AI-based video analysis technology for site safety and quality management is a notable example in the safety sector. The system analyzes CCTV footage to detect hazardous situations between equipment and workers, identifying fire and entrapment risks early. Additionally, a real-time monitoring technology for ready-mixed concrete quality has been developed, where AI assesses material separation by analyzing images taken with smartphones. This approach aims to manage safety and quality risks using image data.
A representative from Hyundai Engineering & Construction stated, "The importance and utilization of smart construction integrated with advanced technology will continue to grow. We will lead AI technology in construction by continuously securing and utilizing high-quality data suitable for construction sites."
DL E&C is utilizing machine learning to quickly generate design proposals that reflect conditions such as floor area ratio, views, and sunlight. They also verify site quality using images captured by drones. In this workflow, AI creates candidate designs during the planning phase, while drones and data validate quality during the construction phase.
IPARK Hyundai Industrial Development is building a smart construction environment by linking a cloud-based drone platform with Building Information Modeling (BIM) technology to enhance site productivity and safety. By combining drone data with BIM drawings, they can visualize the site in three dimensions, allowing for easy tracking of progress, identifying safety blind spots, and managing costs.
Other major construction firms are also employing drones, BIM, and digital twins to improve site management efficiency.
Earlier, Daewoo Engineering & Construction integrated generative AI into contract document and technical data analysis. Their AI-based contract document analysis system, 'Barodap AI,' focuses on quickly analyzing vast amounts of bid guidelines and overseas project contracts to extract key information. Overseas projects often involve complex contract terms, risk clauses, and client requirements, leading to lengthy review times. By comparing key conditions within documents, AI can alleviate the burden of the bidding and contract review process.
However, the issue of data standardization for the adoption of construction AI appears to require more time. Each site has different ground conditions, designs, equipment, personnel, subcontractors, and sequences, meaning that even the same apartment construction can have varying risk factors and quality control points based on site conditions. The subcontracting structure also poses a barrier to the spread of AI.
A construction industry representative noted, "If the ownership and utilization rights of data, as well as cost burdens, are not clearly defined, it will be difficult to implement AI systems across the entire site. However, in the future, the ability to utilize data and digital business planning capabilities will become a competitive advantage for construction companies."
* This article has been translated by AI.
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