Autonomy and intelligence embedded pervasively in automation equipment is one of the key attributes to realization of connected smart machinery. Connected smart machinery is important in virtually every application imaginable, but is even more valuable in cases where there is limited communications. Machinery that analyzes and compresses large data sets are essential to ensuring that the data traffic on the Internet does not overwhelm the system or data can be analyzed local to the device. The connected smart machine will require not just more sensors, but also more intelligent sensors. Sensors must perform more sophisticated signal processing “at the edge” to provide accurate signals that filter out the noise before it gets to the automation system.
In this program, machine builders employing intelligent sensors into the machinery to perform complex condition monitoring algorithms into automation systems will be highlighted.
