Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions

Microsoft

Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions
Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions
Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions
Leveraging Machine Learning To Enhance a Molding Process Involving IoT Solutions

Microsoft Microsoft
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OVERVIEW

In the third wave of industrial evolution, we had automation that produced large amounts of data. This data had high potential for analytic applications, but it was not easy to analyze because it was siloed in the machines where it was generated. With this project, we demonstrate that it’s not complex to send the data to the cloud using secure and reliable services that allow us to analyze the data in near-real time and build maching learning models to extract knowledge from it.

Systems integrators and manufacturers looking to use IoT Hub to have real-time capture of equipment data.

The data captured during the molding process is useful to build a machine learning model that will warn us when the quality of the product may be lower than the defined standard.

IOT
Emerging (technology has been on the market for > 2 years)
OPERATIONAL IMPACT
A Machine Learning model was developed, fed with all the historical data that has been gathered by the control computer and joined with the customer labels that are retrieved one month later. This model will be retrained with new data when needed.
A Power BI dashboard was developed to see the curves and the Azure Machine Learning-trained model results as executed in Stream Analytics for each piece in real time.

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