U+, Korea Industrial Complex Corporation Ulsan Regional Headquarters and
Business cooperation for the construction of 5G MEC-based smart industrial complexes
Build a safe and efficient workplace with the cloud


LG Uplus announced on the 11th that it has signed a business agreement with the Ulsan Regional Headquarters of the Korea Industrial Complex Corporation to strengthen the competitiveness of industrial complexes in the Ulsan region and apply 5G MEC within the industrial complexes.

Multi-access Edge Computing (MEC) is a distributed cloud computing technology that deploys data centers closer to service sites and maximizes the ultra-low latency characteristics of 5G. This collaboration is part of the 'Leading Application of MEC-based 5G Convergence Services in the Public Sector' project promoted by the Ministry of Science and ICT and the National Information Society Agency (NIA).

Due to the nature of processes involving volatile and toxic substances, the domestic petrochemical industry is highly interested in creating safe workplaces. U+ Smart Industrial Complex manages large and complex petrochemical industrial complex sites using a 5G network capable of processing large volumes of data in real-time with low latency, and provides 'AI-leading services' that prevent accidents and diagnose risks using AI. Since there is no need to build separate IT infrastructure, customers can reduce implementation costs.

LG Uplus has experience building 5G and AI-based smart factories at about 30 factories of LG affiliates across various industries and about 70 business sites, including power generation and steelmaking, last year. Based on this experience, we will establish a smart industrial complex in Ulsan, home to a petrochemical industrial complex, this year in collaboration with the Korea Industrial Complex Corporation, Doota IT, OnePredict, and HHS.

MEC saves time spent on data transmission and analysis, enabling a rapid response to safety accidents that may occur in industrial complexes. The 'Intelligent Switchboard Diagnostic Function' analyzes on-site thermal imaging and temperature and humidity to diagnose switchboard fires and power outage accidents in advance. The 'Biometric Signal Analysis Safety Helmet' features sensors weighing approximately 60g that measure body temperature, brainwaves, and heart rate, upgrading existing safety helmets to immediately identify worker casualties.

It also provides environmental management services that optimize water purification processes based on wastewater pollution levels and offer virtual sensors capable of measuring emission concentrations without the need for expensive dedicated exhaust gas sensors. By utilizing a closed cloud, it prevents the leakage and manipulation of environmental data.

Specialized features, such as 'AI Vision Inspection,' which automatically diagnoses defects by analyzing product photos, and 'Pump Predictive Maintenance,' which predicts the causes of failures in advance by analyzing pump vibration and current data, are expected to enhance the quality and equipment management capabilities of small and medium-sized enterprise customers.