Reheat Furnace and Rolling Mill Optimization in Steel
Where the hot end's energy, yield, and quality really trade off, and the instrumentation that holds the line.
Zoniax · Archive
Field notes on industrial operations intelligence — sensors, edge telemetry, and machine learning for processing plants.
Where the hot end's energy, yield, and quality really trade off, and the instrumentation that holds the line.
How instrumented return lines turn over-cautious clean-in-place cycles into measured ones, without ever shipping a failed clean.
Fixed alarm limits catch the gross excursion and miss the early drift. Here's how learned anomaly detection scores raw sensor streams, and why the threshold, not the model, is the hard part.
How the standard maps the plant-to-business seam, what it actually standardizes, and where real integrations slip.
Reliability metrics are only as honest as the failure definition and the timestamps behind them. Four claims worth dismantling.
Two ways to store plant data, compared by storage cost, query, integration, and fit - and how to tell which one your operation actually needs.
Stop deciding edge-versus-cloud plant-wide. Decide it per workload, on latency, bandwidth, reliability, and who maintains it.
Overall equipment effectiveness travels to a continuous plant only if you stop counting parts and start measuring flow, loss, and the constraint.
A working engineer's comparison of the three protocols that run plant networks, scored on the criteria that actually decide a deployment.