By better convergence of OT/IT/ET data, we mean bringing together previously separate elements, which have now been streamlined and integrated so that they proceed seamlessly. To achieve this, we accumulate all OT, IT, and ET data in a data lake. Next, we contextualize and store related data in an industry-specific data model, such as paper making or plastic extruding, for example. Then we apply advanced analytics and industrial Al algorithms to identify correlations that were not previously visible.
Industrial artificial intelligence (Al) can play a major role in identifying these patterns and making process predictions. The terms Al (artificial intelligence) and ML (machine learning) are often used interchangeably. which can be confusing at times. Al is the overarching science of making machines and physical systems smarter by embedding (artificial intelligence) in them. ML is a subset of Al that involves systems gaining knowledge over time through (self-learning) to become smarter and more predictable, without human intervention.
As an example. consider a motor. which is an essential and omnipresent manufacturing asset in your plant. The motor generates a lot of operational data. such as temperature, pressure, and flow rate measurements from various stages of the production process.
In terms of the different types of data we have:
OT data: Motor speed, vibration level, and bearing temperature are typical parameters monitored in real time by OT systems to tell us how the motor is performing. This normally comes from automation system or a process controller components such as PLCs or a DCS.
IT data: If we want to see things such as the motor's maintenance history, when it was last serviced, how much has been spent on repairs. or if the right bearings are in stock, we must find it in various IT systems. usually somewhe re in the ERP solution.
ET data: Information about factors such as whether the motor is within its design speed limits,how much vibration it can take, the safe operating temperature for its bearings or what the useful bearing life should be, is all residing within the ET (or engineering design) systems.