GS Engineering & Construction is improving the efficiency and accuracy of equipment quality inspections for plants by utilizing augmented reality (AR) technology.
On September 15, GS Engineering announced the implementation of the digital inspection solution 'Twyn' from the German AR specialist Visometry at plant sites. This solution allows for the comparison and inspection of 3D design models against actual manufactured equipment before installation.
Equipment used in plant construction undergoes quality inspections to ensure that the actual products match the design specifications before installation. The inspection of complex equipment can be time-consuming and may vary based on the inspector's skill level.
To enhance the efficiency of quality inspections, GS Engineering has adopted the 'Twyn' digital inspection solution. Twyn uses AR technology to overlay 3D design information with actual manufactured products. Inspectors can use tablets to compare the design models with the actual products on-site, verifying the alignment of manufacturing status with design information.
The solution also incorporates 'shape-based automatic alignment and tracking' technology, which automatically adjusts the 3D design and the equipment's position and orientation. This feature is expected to be useful even in indoor environments where satellite signals are difficult to obtain.
By leveraging AR-based inspections and 3D laser scanning, GS Engineering aims to reduce inspection times and focus resources on items requiring precise inspections, thereby enhancing accuracy and efficiency.
GS Engineering is already actively utilizing advanced technologies, including AI, across its safety management operations. The company is enhancing on-site safety management through tools such as the AI translation program 'Zai Voice' and the AI-based construction manual 'Zai Book.'
A representative from GS Engineering stated, "The greatest advantage is the ability to directly compare the 3D design model with the actual manufactured product on-site to identify quality issues and select items that require detailed inspections. We will improve the efficiency and reliability of plant quality management using digital technology."
* This article has been translated by AI.
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