Technology pillars
of CT-UK

This is the classic control system technology pillar. Essentially every automation system reads a set of inputs (sensors, buttons, data, etc.) carries out various tasks based on those inputs (logical decisions, data manipulation, functional safety, etc.) and then these tasks set various physical or data outputs as needed (PID, data, voltage, current, etc.). Pretty much all our products sit within the automation space, particularly our range of ECUs, HMIs and sensors. Almost all of our engineering projects sit within this space, providing our customers with real-time control solutions to their specification.

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Digitalisation is a relatively new pillar for the business and the marketplace, but one that is growing in demand and opportunity. Every automation system generates and consumes a vast amount of data, whether that is CAN data between nodes, or operational data used by the operators. This data has value, and that value is different for each stakeholder involved in the machine operation. For OEMs, this data is vital for their understanding of machine functionality, maintenance and safety, whilst for operators, the data represents additional revenue streams via fleet management, integration into billing engines and

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Machine intelligence is a hot topic, globally. With the rise of platforms such as ChatGPT, using machine learning systems to optimise and ultimately improve systems is becoming more and more relevant to our systems. Of course, there are concerns about AI and its impact – but from a CT-UK perspective, we consider it in the context of, primarily, machine optimisation and predictive maintenance. We want to deploy Decision technology in our control systems to get the absolute best performance from our customers machines, monitoring operating trends and adjusting outputs accordingly to

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