Industry
Oil and gas industry
Use-case name
Preventive maintenance of packaging line -TOPAS
Use case description
This use case consists out of multi workflows for preventive maintenance at petrochemical product packaging and shipment line. Workers are using QR codes to recognise preventive maintenance for chosen assets. Artificial intelligence is used for recognition and evaluation of pictures during the execution of preventive maintenance. Interactive dashboard is used so that the status of the preventive maintenance for LDPE4 could be shown. Recognition of tags and presentation of the real data in the glasses in the field is enabled for the worker.
Use case benefits
This use case ensures stability of operations for the key packaging line, reduces downtime by 10% and improves work safety.
All components used:
- Plant shop-floor knowledge base and digital twin of the shipment shop-floor unit.
- Machine component recognition.
- Worker smart glasses voice recognition and text instruction transformation into voice.
- IoT connection to show process parameters of the recognized component in the maintenance worker smart-glass.
- Shop-floor process dashboard