Radwell International’s Blog

Since the advent of the programmable logic controller (PLC), automation controllers of all kinds have made their way into industrial applications, including programmable automation controllers (PACs) and today’s edge programmable industrial controllers (EPICs). Users have many options in terms of cost, footprint, input/output (I/O) density, fieldbus compatibility, communication, programming options, and processing speed with competition among vendors looking to establish supremacy.

While it’s generally true diversity is healthy for the market, it also can be a source of frustration for engineers and end users. Selecting a control platform is often a long-term investment and carries related overhead like training and support contracts. Decision-makers want the reassurance they are putting their money to work in the right way.

Edge controllers can provide advantages in many applications where traditional industrial controllers have been used. For commercial and industrial computing products, software and hardware development progress proceeds in tandem, with the lead alternating. Sometimes the software complexity and features increase in a way that bumps into processing limitations; then there are times when hardware advances unleash newfound capacity for more sophisticated software.
It is easy to look at today’s traditional operations technology (OT) industrial controller options, represented most often by traditional programmable logic controllers (PLCs) and process automation controllers (PACs), and see them as mature technologies with capable software and fast hardware. The challenge is identifying what comes next.

A few industry trends are pointing the way. Modern consumer and commercial computing experiences are ripe for merging into industrial products. Internet of Things (IoT) devices are becoming commonplace and many are looking at incorporating Industrial IoT (IIoT) devices into automation systems. Digital transformation requires connecting with many data sources, collecting and storing the data, visualizing and analyzing it, enabling optimized operations.