Introduction to Digital Twin: Simple, but detailed

so Dion gave me an assignment he said Chris I want you to make digital twin simple but detailed so here we go digital twin simple but detail okay first we're missing the Clipper let's go ahead and roll little video here digital twin is the ability to take a virtual representation of the elements and the dynamics of how an Internet of Things device operates and works it's more than a blueprint it's more than a schematic it's not just a picture it's a lot more than a pair of glasses it's a virtual representation of both the elements and the dynamics of how an Internet of Things device operates and lives throughout its lifecycle it's an understanding of all of its dynamics whether those are electrons that move or whether it's the device that's moving itself it's about understanding the elements that compose it and the dynamics of how that device is put together done correctly a digital twin will influence how design build and operations of a device are constructed in a single life cycle the design phase is where engineering tooling comes together bringing together physical elements physical Bill of Materials pulling together virtual elements you heard about the software on the cars and all the different elements and the chips that are there being able to coordinate and collaborate those together into a single facility of operational oriented design that is designed to bring out the highest quality product in the build phase it's about yield it's about understanding how the devices that make the product influence the products tolerances and stresses and designs and it's about better manufacturing to drive the correct tolerances and correct outcomes that you want to see for the product that you're actually making and then third a digital twin facilitates the actual operation of the product as well product age products go through different environments they deal with things like weather and they have different tolerances and they shift they drift and so your digital splint needs to do along with this product as they age and that feedback when done correctly not only facilitates the operations of the product but helps facilitate better design and better manufacturing by the lessons that are learned and the recalibration that takes place along the way so quite simply a digital tool in virtual representation of the elements and dynamics of an Internet of Things device it affects both the design the build and the operations of how products pulled together there's essential capabilities that must be present for you be active in a digital twin first you have to apply analytics at every step the amount of information that we're dealing with the ply digital into a small device or to a complex device such as an automobile or an aircraft is staggering analytics has to be both real-time but has to be operational has to be quality it has to be predictive oriented in its nature the data that it comes from a digital twin needs to be open you have to be able to access it for a variety of different sources you have to be able to pull it together into a federated model and you have to be able to bring it together so that you can get that interaction that dynamics to play it's not just a schematic you're making it's not just a picture you're making you're actually making a dynamic model that you're going to shift as you go through both the design the build in the Operations phase of what you do with the lifecycle of that product and then last you're going to fly industry context you may actually use the same product differently in two different industries and have two different digital twins for that one product based on how the industry uses that product whether it's a pump that's used in oil and gas or whether it's a pump that's used in municipal or wellness and water the outcome is based on the industry context of how that device is going to be used and so a digital twin not only captures the engineering aspects but it also captures the industry context the dynamics of how that product is used at the same time let's talk a little bit about how we do this at IBM at IBM we start with the Watson IOT platform it is where we bring the data in we connect to variety of different data sources direct devices themselves we connect to engineering capabilities we bring data in through partners such as eros from the physical side we bring logical data in from our own portfolio and around the IOT platform we start to build context of the relationships of the information both over time and relationship to each other collapse and collect the information second we apply cognitive insights we operate on the data to understand its variances and tolerances and how it's used we apply techniques and machine-to-machine natural language processing video acoustical analytics and more to help understand the dynamics of the information that you're being presented so when you have the information and you have cognition taking a place on what you can then do which is the third step which is the most valuable step is you can dynamically recalibrate your environment so the digital twin when operating correctly not only represents a picture it's not only something that you can see in glasses and explode but it actually works to dynamically recalibrate your environment affecting the design the build and the operations phases of everything you do around that particular device well where can you go see one of these it's really simple the first place that you go see one is go visit our own Watson IOT Center we've instrumented several of the floors we collect information and we apply our digital twin models across both how we can show you dynamic recalibration around comfort we can show it around efficiency of how the workspace is laid out and the interactions of the different types of office capabilities that are there and last we can show you the economic impact or the environmental impact of how the representation takes place at the same time so come to our IOT Center you can see our digital twin model in action you can get your own picture of how it works and we can talk to you about how you can apply it to your own business at the same time

Channel: IBM Internet of Things

Views: 197,461

Keywords: ibm, watson, iot, internet of things, industry 4.0, connected products, digital twin, watsoniot, cognitive iot, cognitive computing, industrial iot

Id: RaOejcczPas

Length: 7min 19sec (439 seconds)

Published: Tue Jun 27 2017