So what is the value behind a digital twin? When I am talking about digital twin, I’m talking about feeding virtual sensor data from simulations to your IoT platform. So you have a real-time mimic of your physical product. To begin to understand the value of the digital twin, you need to understand the dynamics
At PTC’s Liveworx back in June, a group of companies that had deployed IoT initiatives came together for a panel. I was keen to hear their advice on what to do what not to do when pursuing an IoT effort. This post summarizes my biggest takeaways.
There’s lots of confusion around the Digital Twin. In this post and video, provide an overview of the three definitions used in the industry and highlight the one we use.
Before we dive into virtual sensors, we need to cover some foundational concepts around the Digital Twin. With this technology, you have sensory data that you’re capturing from a product, and you’re feeding it into a simulation. The simulation will be running very fast, and will often be a systems simulation; a 1D simulation that
People have been feeding sensor data to simulations for years. How are Digital Twins different? This post explains the key difference between the two scenarios and where companies
Many companies are going through the transition from developing mechanically oriented products to smart, connected ones. Overall, that transition includes a sea of changes, many of them challenging. This includes adding the organizational capability to develop embedded code, electrical systems, or rigid-flex electronics. One of the easier adjustments, however, is implementing an Internet of Things
This article reviews how the PTC Digital Twin, created with Integrity Modeler, SySim, and Thingworx, can digitally prototype a smart, connected product and its IoT platform during the design cycle.
This article reviews how to virtually prototype the combination of a smart connected product and IoT platform with a digital twin.