SK AX announced on the 28th that it will implement a manufacturing industry tailored 'AX-based exhaust utility facility digital twin platform'.
It visualizes key equipment such as exhaust equipment, ducts, dampers, and pressure gauges in 3D and links pressure, temperature, vibration, and harmful substance concentration data collected from Internet of Things (IoT) sensors, video artificial intelligence (AI), and thermal imaging cameras in real-time, replicating the actual facility status and operations in a virtual space.
The company explained that the digital twin platform allows for early detection of abnormal signs in equipment and enables proactive responses by simulating the impact of changes in processes or operating conditions in advance. It can also monitor pipeline flow, pressure loss, and bottleneck areas between equipment in real-time, allowing for prediction and response to operational risks.
The digital twin platform reduces energy waste through AI-based precision control of facilities and enables efficient resource utilization. By adopting this platform, practical results such as a maximum 5% reduction in facility accident occurrences, over 10% savings in operational and investment costs, and more than a 25% improvement in facility operational efficiency are expected.
Starting with the digital twin of utility facilities, SK AX plans to expand the platform into a manufacturing artificial intelligence transition (AX) system that can integrate monitor and control all process facilities.
Kim Kwang-soo, head of the manufacturing services division at SK AX, said, 'This digital twin platform represents a leading example of executable manufacturing AX that goes beyond simple replication of equipment structures to operate facilities and control processes based on data.' He added, 'We will transition even the equipment that was previously invisible to AX so that customers can increase yields, reduce risks, and actively respond to environmental regulations.'