Case Study: a global steel manufacturer achieves predictive maintenance with Searce and Google Cloud

Global Steel Manufacturer enables predictive maintenance with Searce in 5–8 second data latency

The customer, a global steel manufacturer, partnered with Searce to shift from reactive to preventive maintenance. Their challenge was to ingest massive amounts of high-velocity sensor data from multiple plants with minimal latency, correlate this data from varied edge devices, and create a real-time monitoring system to identify potential equipment malfunctions early.

Searce implemented a solution using Google Cloud, deploying IoT devices to collect data and using BigQuery and Dataflow to create a scalable data warehouse and efficient data pipelines. This enabled real-time insights and the development of intuitive dashboards. The solution revolutionized the client's maintenance practices, significantly enhancing operational efficiency, reducing downtime, and lowering data storage and processing costs. Searce's approach empowered the client with predictive maintenance capabilities and improved overall data quality.