How-To & Guides22 May 2020

Software Connectivity Enhancements: Remote Monitoring and Data Export

New software connectivity features enable remote monitoring of extrusion processes, automated data logging, and direct export of process records to common laboratory data formats.

Why Connectivity Matters for Research

A modern extrusion machine generates continuous streams of process data — temperatures, screw speed, torque, and more. This data has two immediate uses: real-time monitoring to identify and correct process deviations, and post-run analysis to understand the relationship between process conditions and output quality. The previous generation of Noztek control systems displayed process data on the machine's local interface but provided limited options for recording or exporting it. Researchers documented production conditions manually — a time-consuming and error-prone process.

Remote Monitoring

Noztek machines equipped with the connectivity update can be monitored remotely via a local network connection. The monitoring interface — accessible through any web browser on the same network — displays all process variables in real time. Alarms configured on the machine are pushed to the remote interface, allowing researchers to monitor production from elsewhere in the laboratory without continuous physical attendance at the machine.

Remote monitoring does not provide remote control — the machine must be set up and started at the local interface. This is a deliberate safety decision: a machine processing polymer at temperatures up to 400°C should not be configurable from a remote location without physical attendance.

For multi-machine laboratories, the remote monitoring interface allows a single operator to oversee multiple extrusion runs simultaneously from a central workstation. Alert thresholds can be set independently for each machine.

Automated Data Logging and Export

Process data logging is now automatic from run start to run end. All process variables are recorded at 1-second intervals throughout each production run. At run completion, the log file can be exported in CSV format directly from the control interface — compatible with Excel, Python, R, and common laboratory data analysis environments without format conversion. The log file includes timestamps, all measured process variables, any alarm events, and operator-entered production metadata.