Use CasesExhaustive storage of sensor data from manufacturing equipments

Facilitates Machine Learning and Fault Prediction by Big Data Analysis

Case04 Fig

CVC Wave

For Automotive & Foundry

Reduces the Data Size to 1/20 on Average, Enabling 20 Times Longer Storage Period

By comressing whole sensor data from manufacturing equipments by CVC Wave, and transmitting them to a line management computer, it is possible to reduce the data size to 1/20, enabling 20 times longer storage period.
This helps improve product quality as well as facilitate fault prediction by machine learning and big data analysis.

* Figures may vary depending on data.