Smart Monitoring for Injection Moulding Process Steps

iQ process observer enables rapid diagnosis of quality fluctuations by intelligently analysing and processing hundreds of parameters. As a result, downtimes can be effectively reduced. In addition, this smart software solution has intelligent drift detection, which can be used to proactively indicate process changes.

Rejection rates can thus be brought under control.

The uniform and clear display of information and the intuitive guidance to the cause of process changes within the CC300 machine control saves valuable time when interpreting big data. In addition, users spend next to no time on configuration, which allows for quick activation of all monitoring functions.

By continuously comparing the determined values with the previous cycles, the software automatically detects significant changes in the process and points them out to the operator. In addition, the process data analysis compares all target and actual values with a defined reference state in order to detect long-term changes, for example.

Finally, the system indicates possible process improvements or unfavourable process settings and states in the form of plain text messages. In many cases, the possible causes are determined automatically, as are possible solutions.

The challenges of the future are becoming increasingly complex and digitalisation is playing an ever greater role in production. We accompany you on your way to networked and self-optimising injection moulding production. With the modular ENGEL inject AI programme, we aim to make it particularly easy to exploit the advances in digitalisation and the new opportunities it opens up.