การก้าวกระโดดเชิงคาดการณ์ของ BlueScope ด้วย Senseye

Managing scale, complexity, and harsh operating conditions in the steel industry

The global steel industry faces a variety of challenges, namely environmental regulations and pressure to produce more sustainably, which has led to a trend toward digitalizing production processes to improve efficiency and flexibility. Maintenance processes play a big role here. They’re particularly challenging due to the scale, complexity, and harsh operating conditions of steel production facilities. Coordinating maintenance without disrupting production is difficult, especially in continuous process plants. Unplanned outages can cost millions due to lost production and restart costs.

BlueScope is a global company specializing in the manufacture and distribution of steel products, operating globally in Australia, New Zealand, the Pacific Islands, China, India, Southeast Asia, and North America. It is best known for its high-quality galvanized and coated steel products, which are used in various industries such as construction, automotive, agriculture, and packaging. The company is headquartered in Melbourne, Australia, and operates manufacturing facilities and sales offices in various regions to serve its customers worldwide.

From reactive to proactive, predictive maintenance

During those 12 months, 300 units were commissioned across three metal coating lines. This successful first phase at the Springhill site, supported by Senseye Predictive Maintenance's AI-driven automatic tuning capability, marked the beginning of a comprehensive shift from reactive to proactive, predictive maintenance.

The new data-driven approach has already showed its powerful impact multiple times. One example: an early diagnosis of a minor hydraulic leak on a metal coating line, which could have escalated into a major problem with costly downtime and manual intervention in dangerous and difficult-to-access areas. A sensor detected a gradual pressure drop; the Senseye PdM system then triggered a predictive warning and alerted the BlueScope team. By using Senseye PdM, BlueScope was able to address the problem during a scheduled maintenance window. Previously, BlueScope monitored these systems exclusively through visual checks and a simple low-level switch.

Let the numbers speak for themselves

By detecting the leak early in the example above, BlueScope was able to avoid at least 24 hours of unplanned downtime in the metal coating line, saving costs and minimizing, if not completely eliminating, production delays. In this case, early intervention also avoided the time-consuming and costly manual rethreading of the metal strip into the line.