To achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices.
Having connected machines, workers, and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner, which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency.
This white paper explores Industry 4.0-compliant data modeling principles and how to use MongoDB Atlas to fulfill demands of Industry 4.0: interoperability, flexibility and scalability.
