Thoughts on Connected Intelligence and Sustainability
It’s easy to think of #DigitalTwins as representing discrete systems & subsystems, like an industrial #robot that builds a car in a factory. The reality is that physical entities like humans, machines & environmental systems don’t live in a vacuum.
If you’ve ever worked with an #IoT platform, you might have noticed it typically has you define a simple schema or #DigitalTwin Model for an entire person, machine or environmental system.
To create an historical record of what happens to an instance of a #DigitalTwin throughout its entire lifecycle, you represent this with something called a #DigitalThread.
It’s time to create a #DigitalTwin Instance of a physical entity that is derived from a Digital Twin Model.
As part of my series on #DigitalTwins, I’ve discussed the creation of a Digital Twin Model which defines a type, or class of physical entity from which instances of digital twins are derived. Once you’ve added telemetry, virtual, static, or command properties, it’s time to make use of this #metadata with rules.
The static properties enumerated by a #DigitalTwin model represents #IoT #data that typically doesn’t change.
Your #DigitalTwin Model and its telemetry properties are an essential part of the #IoT #data flow from device to #analytics.
At Ericsson’s new D-Fifteen innovation and co-creation center in Silicon Valley, panelists for the 4IR IRL discussion provided an inside look at the strategies and use cases driving innovation. #IoT
The #IoT Megatrend is in Danger of Stalling
Yes, #IoT and #Twitter are truly birds of a feather.