acqSYS connects live values to the job, the product definition (ProductHub), process targets, QC window, and spool record — visible while the line is still running, reviewable after the spool is measured. This is the layer supervisors and technologists watch; operators run the floor from their own dashboard.
Use the demo to move from a line card into the telemetry and QC window behind a spool.
The people who need to see deviation before the spool is finished.
Monitoring depends on reachable data sources, supported protocols, mapped variables, and agreed process targets.
Start with the channels that influence QC decisions and spool interpretation.
Three layers turn raw telemetry into evidence you can act on: line context, signal groups, and the bridge into QC.
Current job, operator, product, line state, progress, and downtime context.
Diameter, speed, temperature, pressure, and other configured variables shown with meaning.
Mapped telemetry feeds spool detail, QC decisions, Cpk context, reports, and AI Process Advisor (beta) review.
Extrusion teams can often see machine values somewhere, but the hard part is connecting a temperature, pressure, speed, or diameter change to the job, formulation, tolerance, line state, and finished spool outcome.
Live line context with production meaning. The line monitor is strongest when it explains which process signal belongs to which job, product, QC window, and spool.
Monitoring is implemented as a production and process evidence chain, not a loose wall of charts.
acqSYS can show configured targets before every actual signal is wired, but it does not fabricate live machine data. Monitoring value grows as mappings are validated and process targets are agreed.
The monitor is tied to filament outcomes: diameter and speed context flows into spool QC, Cpk, OEE, reports, alerts, and AI Process Advisor (beta) evidence instead of living as an isolated graph.
Real-time line monitoring is one part of the connected production record — the same signals flow into quality, traceability, and process improvement.
We will review your lines, protocol options, gauge setup, process targets, and quality pain points — so monitoring starts where it pays.
