Another technology being used in a Rockwell Automation product is the function block programming environment that RSC created for Allen-Bradley Drive Tools software products. Now, we will offer function block programming drive tools as a software package, making programming much easier for the customer. For example, the customer can now pull down a function block, maybe a winder or PID function, as opposed to building up the smaller elements in micro-blocks or lines of code. RSC has developed several technologies for a wide range of system modeling, diagnosis, and control of a wide range of systems. Our new advances allow customers to plan maintenance and downtime rather than be a victim of them.
Casual networks use a language to represent systems, including their operating and failure modes.
They are a generalization of Bayesian networks that include a graphical representation of causal relations among sets of system variables, multi-valued propositional logical equations that specify relations among variables, and likelihood measures over the operational modes. RSC has developed an integrated control, reconfiguration, and diagnostic framework based on causal network technology. Techniques such as these are the focus of a new Navy-sponsored shipboard automation demonstration program that will be jointly developed by Rockwell Science Center and Rockwell Automation. RSC has applied a variety of machine learning techniques to industrial and military problems, including neural networks, animal conditioning, fuzzy logic, and data mining. Graphical user interfaces.