LGU+ Accelerates AI and Big Data-Based 'Heat Pipe Anomaly Diagnosis Solution'

LG Uplus announced on the 29th that it will fully launch the 'Heat Transport Pipe Equipment Predictive Maintenance and Anomaly Diagnosis Solution' business, jointly developed with Korea District Heating Corporation (HanNan), and expand its market share in the industrial safety solution market.

LG Uplus plans to actively target the collective energy business sector, including district heating operators and industrial complex steam pipe operators, leveraging the advantage that HanNan directly participated in the joint development and testbed. In fact, excluding HanNan, LG Uplus has completed solution implementation for seven energy-related large corporate affiliates and public institutions so far, and plans to supply to five additional companies within this year.

LG Uplus employees introducing the 'Heat Transport Pipe Equipment Predictive Maintenance and Anomaly Diagnosis Solution.'
[Photo by LG Uplus]

The Heat Transport Pipe Equipment Predictive Maintenance and Anomaly Diagnosis Solution is a technology that analyzes the temperature and vibration patterns around underground heat transport pipes based on artificial intelligence (AI) and big data. This solution quickly detects abnormalities in heat transport pipes that field managers cannot identify through visual inspection or simple sensing, sends alarms, and enables operators to perform maintenance work through on-site inspections.

HanNan pursued the introduction of IoT-based new technology capable of early detection of abnormal signs to strengthen the safety management system of its main business facility, the heat transport pipe. It partnered with LG Uplus, which has development capabilities for related solutions such as 'Hot Water Pipe Anomaly Diagnosis,' 'Gas Pipe Anomaly Diagnosis,' and 'Trend Anomaly Prediction.'

Since signing the 'IoT-based Heat Transport Safety Management System Advancement' memorandum of understanding in October 2020, the two companies have cooperated in sensor and solution development and effectiveness verification. First, they developed an 'IoT Temperature Sensor' that can detect abnormal signs in underground heat transport pipes, and built the predictive maintenance and anomaly diagnosis solution by analyzing data collected through the sensor using AI and big data.

Going forward, the two companies will continue to enhance data analysis algorithms and collaborate to make the UI/UX for presenting improvement results more user-friendly. Additionally, HanNan, which has installed about 1,000 IoT temperature sensors in the metropolitan area so far, plans to gradually expand the utilization areas of the temperature sensors.

Park Jun-seok, Head of Wireless Business at LG Uplus, said, "The greatest competitiveness of this solution lies in confirming the field applicability of smart technology needed on-site through close collaboration with HanNan," adding, "Based on the core technology embedded in the heat transport pipe anomaly diagnosis solution, we will continue to develop solutions for city gas pipes, oil pipelines, industrial chillers, and construction sites."

This content was produced with the assistance of AI translation services.