Pre-inspection and diagnosis of industrial equipment failures and malfunctions
Easily monitor your equipment with your PC or smartphone
Various state measurement methods such as vibration, current, and speed


LG Uplus announced on the 29th that it has launched a new smart factory solution that diagnoses and inspects factory equipment failures and malfunctions in advance with industrial AI specialist, OnePredict.

The newly established solution uses AI to perform predictive maintenance on various facilities. It analyzes data on the vibration, current, and speed of the facility using AI technology to diagnose the condition and predict the time of failure and remaining life. In the case of pumps or motors, if an IoT sensor suitable for the facility is attached, the sensor collects and transmits vibration data from the internal bearing. The server compares and analyzes this with previously collected vibration values or other bearing data to predict the current condition and failure.

OnePredict provides industrial AI-based facility predictive maintenance algorithms and products, while LG U+ is responsible for data transmission via wireless communication and customer control platform services. In particular, in the control stage, operators can easily diagnose facility status via smartphone or PC, which is efficient for large-scale factories with many monitoring targets.

Depending on the equipment condition and type, various measurement methods can be introduced. The motor measures the current value, the transformer analyzes the gas in the insulating oil, and the variable speed rotating equipment reads vibration and speed data. This is a deep learning method that accumulates these to build big data, and as the measured values increase, the predictive maintenance evolves more precisely. The industries to which the solution is applied are also expanding.

An official from a company that has piloted an AI facility predictive maintenance solution said, “Previously, we performed an overhaul by completely disassembling and inspecting the compressor every 20,000 hours of operation, but now we can check the condition of the equipment and perform an overhaul, which has increased productivity.”

Seo Jae-yong, managing director of LG Uplus’ smart infrastructure business division, said, “This solution is expected to be utilized in various industrial fields such as bearings, pumps, robot fans, extruders, turbines, wind power generators, and transformers,” and added, “We will continue to expand the target range of our facility predictive maintenance solution.”

Meanwhile, OnePredict is an industrial AI solution company founded in 2016 by Professor Yoon Byeong-dong of the Department of Mechanical and Aerospace Engineering at Seoul National University. In February of this year, it signed a business agreement with LG U+ and announced the expansion of its AI facility predictive maintenance service.