Challenge : Rising energy costs and increasing inefficiency in equipment management

Weakening cost competitiveness and difficulty predicting equipment abnormalities
Due to the energy-intensive nature of copper pipe manufacturing, continuously rising energy costs became a major factor in declining profitability. In addition, limited visibility into equipment-level energy consumption and operating conditions led to repeated operational inefficiencies. The inability to detect potential equipment anomalies in advance also resulted in production disruptions and increased maintenance costs.

Implementation : Deployment of a real-time data-driven energy management system

Current sensors were installed on major production equipment and distribution panels to transmit real-time power consumption data to a cloud platform, enabling visualization of energy usage across operations. Process-level energy consumption analysis and equipment operating pattern analysis helped identify sources of energy waste and provide optimization insights. In addition, predictive alerts based on historical data enabled early detection of equipment abnormalities and supported proactive maintenance.

Results : Reduced operational costs and improved production stability

Maximize Energy Savings, Boost Equipment Efficiency, and Enable Predictive Maintenance
Through 3View FEMS, the company is expected to reduce energy costs and improve productivity through data-driven equipment management. Energy-efficient operations and predictive maintenance capabilities are expected to minimize production downtime caused by equipment failures, while contributing to lower maintenance costs and extended equipment lifespan over the long term. Ultimately, these improvements are expected to strengthen cost competitiveness and support a more stable production environment.