Summary
Production machinery are complex systems involving many parameters to be monitored. A connection software has been developed in order to link injection machines from production environments to decision maker models, allowing the ingestion of process data in a seamless manner.
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| Web resources: | https://www.teamingai-project.eu/exploitable-results |
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The development of advanced machine diagnostics software based on machine learning is intricately linked with hardware development. Accurate information obtained from machines and connected devices is crucial to the correct functioning of the software. Software sockets have been developed to link incoming data from injection machines with a data language that the system can understand.
The developed software sockets allow a seamless data acquisition from in-plant machines so data can be immediately consumed by the system. The data ingestion allows the AI models to be trained and used in a more simplified manner.