Q&A with Chris Nicholson, CEO of Pathmind. A digital twin is at once capable of simulating things that have never happened before, as well as mirroring a real, underlying physical reality and monitoring its performance.
Asset Performance Management software must evolve into knowledge hubs that not only deal with monitoring, but also gathering data from other dependent systems to provide much deeper insights and greater control.
Organizations are implementing digital twins to get better perceptions regarding product performance, user experience, and to make better strategic decisions based on the visions provided by the digital twins.
The interesting thing about modern products is that smart technology can enhance them. That makes them traceable throughout their life cycle, and technologies such as cloud platforms enable the products to be tracked during their life journey.
The increasing availability and affordability of technologies such as Internet of Things (IoT) enabled devices, data interpretation software and bandwidth mean that more manufacturers can use digital twins to improve their processes.
Disparate machines, each with a unique control system and communication protocol with varying ages, can create challenges for manufacturers driving continuous improvement initiatives. There is often limited visibility to make data-driven decisions that can impact every aspect of a manufacturing organization. The Scytec DataXchange machine monitoring solution resolves these issues by capturing real-time, Industrial Internet of Things (IIoT) data from a variety of equipment - from CNCs and PLCs, to robots and manual machinery - through universal machine connections. Leveraging automated data collection, DataXchange exposes and synthesizes equipment data to give your teams full transparency on the shop floor to transform your business into a smart factory.