Industrial Manufacturing
Model new manufacturing processes prior to implementation or existing ones in order to diagnose problems. Use Mathematica for analyses including pre- and post-processing of models, simulations, and results.
Connecting Systems with OPC
The OPC Classic Library allows you to connect your simulation models to the real world using Open Platform Communication (OPC). Here, we will connect a process plant model and a real-world Programmable Logic Controller (PLC) in System Modeler to allow them to communicate with each other through OPC.
Accessing Production Data
In this case, the OPC Classic library is used to test a new design of a PLC before it is connected to the real process plant. A model of the process plant has been created in System Modeler, and the PLC can communicate with the model through the OPC interface.
Data from the process plant model is written from System Modeler to the OPC server, and is then read by the external PLC. The PLC computes a control signal that is written back to the server, from where the process plant in System Modeler can access it. Check out the video below to see how well the PLC manages to control plant behavior.
Exchanging Data with OPC Classic
When modeling with OPC Classic, you have control over how data should be read from or written to the server. It is possible to choose from a variety of settings, such as sampling rate, when sampling should start, how often the server should update, and if you want to sample regularly or irregularly.
This example shows how to use OPC Classic and System Modeler to verify the design of a process plant PLC. Using the same principles, it is also possible to do state estimation, data monitoring, data analysis, simulate test benches, and more.
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