How digital twins revolutionize the human experience by combining Big Data, machine learning, and virtual simulation

Drew Ross Through the Looking Glass

“Houston, we have a problem.” 

Jack Swigert spoke these words, perhaps the most memorable in all of space travel, while aboard the Apollo 13 spaceship. Two hundred thousand miles from Earth and hurtling toward the moon, the ship's oxygen tank exploded, placing the rocket and its three astronauts in grave and unprecedented danger. A perilous six-day odyssey ensued, with the astronauts aboard and scientists back home working day and night to get the ship back to Earth. It ultimately does, finding a safe cushion in the Pacific – making headlines around the world and heroes of the astronauts. However, many people don't realize that the successful return of Apollo 13 was due in no small part to a technology called a digital twin. 

NASA developed “Living Model” technology — the first of its kind — back in 1960 during the initial Apollo missions. During the Apollo 13 crisis, scientists used multiple Earth-bound simulators of the ship to test, evaluate, and iterate on solutions and extend them to the real-life version in the sky. Fast forward 50 years and the concept of a digital twin hasn’t changed much, only its impact, potential, and barrier to entry.

A Closer Look at Digital Twins

A digital twin, in the broadest sense, is a living, breathing virtual replica of a physical counterpart. It starts with in-depth modeling, crafting a hyper-specific and accurate depiction of an object, including all its parts and the environment it occupies, no matter how complex or intricate it may be. Once a digital model is developed, scientists attach sensors to the physical twin, allowing for constant communication between the two. This gives observers not only an accurate digital replica at the time of measurement but also one that evolves and changes in parallel with its physical counterpart.

Complex machinery is one of the primary use cases for digital twins, and surprisingly one of the easiest ways to explain them. Think of a car, whether hypothetical or the one currently sitting in your driveway. Now, imagine that through technological wizardry you have a perfect digital replica of this car, as well as data on weather, terrain types, and other environmental factors. This replica isn’t just a snapshot of your car and driveway, but a holistic and ever evolving view of all its parts and how they work together. So as your actual car evolves with use and age, like the tire treads gradually wearing down or the motor oil you swore you’d change last week gets dirtier, so does the replica’s. 

This level of fidelity allows you to test how the car in your driveway would fare against environmental conditions, whether isolated or continuous, and how those conditions would affect your vehicle's performance over time. In practice, if your daily driver hits a pothole on your way to work, the digital twin can tell you how this will affect the car and each of its individual parts over the next 20 miles or even the next 20 years. 

Not Even the Sky’s the Limit for Digital Twins

With this technology, designers and engineers become kids in a sandbox. They have greater and more impactful tools to create, test, validate, and play with an object and the environment it occupies in real time — all while developing actionable data about how the physical object would perform in limitless scenarios.

The ability to test in a similarly limitless capacity affords endless and incredible possibilities.Because digital twins can be made of anything at any scale, people are not just limited to individual objects. In fact, entire factories and facilities can be digitally duplicated, resulting in incalculable impacts. For large manufacturers, this means developing better products faster and with less waste, contributing not only to their balance sheet but a more sustainable future for all. For consumers, it translates to deeply personalized data about the products they use every day, giving a better understanding of performance, maintenance, and other areas of impact and opportunity.

Explore the Horizons of Digital Twins with WongDoody

At WongDoody, we are explorers, dreamers, and pioneers fascinated by what happens when you combine compelling insights with today’s most innovative technology. We utilize a robust constellation of tools brought together by our parent company, Infosys, to solve some of the most complex challenges organizations face. By starting with an understanding of the needs of our clients, their employees, and their customers, we’re able to craft human experiences that speak to all. Some of this is made possible by the digital twins we’ve developed for companies allover the world. 

If you're interested in learning more about digital twins, contact us or read more about how we redefined the future of vehicle customization byway of digital twins for German automaker Smart.

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Drew Ross
(He/Him)
Senior Business Development Associate

Drew Ross Through the Looking Glass

“Houston, we have a problem.” 

Jack Swigert spoke these words, perhaps the most memorable in all of space travel, while aboard the Apollo 13 spaceship. Two hundred thousand miles from Earth and hurtling toward the moon, the ship's oxygen tank exploded, placing the rocket and its three astronauts in grave and unprecedented danger. A perilous six-day odyssey ensued, with the astronauts aboard and scientists back home working day and night to get the ship back to Earth. It ultimately does, finding a safe cushion in the Pacific – making headlines around the world and heroes of the astronauts. However, many people don't realize that the successful return of Apollo 13 was due in no small part to a technology called a digital twin. 

NASA developed “Living Model” technology — the first of its kind — back in 1960 during the initial Apollo missions. During the Apollo 13 crisis, scientists used multiple Earth-bound simulators of the ship to test, evaluate, and iterate on solutions and extend them to the real-life version in the sky. Fast forward 50 years and the concept of a digital twin hasn’t changed much, only its impact, potential, and barrier to entry.

A Closer Look at Digital Twins

A digital twin, in the broadest sense, is a living, breathing virtual replica of a physical counterpart. It starts with in-depth modeling, crafting a hyper-specific and accurate depiction of an object, including all its parts and the environment it occupies, no matter how complex or intricate it may be. Once a digital model is developed, scientists attach sensors to the physical twin, allowing for constant communication between the two. This gives observers not only an accurate digital replica at the time of measurement but also one that evolves and changes in parallel with its physical counterpart.

Complex machinery is one of the primary use cases for digital twins, and surprisingly one of the easiest ways to explain them. Think of a car, whether hypothetical or the one currently sitting in your driveway. Now, imagine that through technological wizardry you have a perfect digital replica of this car, as well as data on weather, terrain types, and other environmental factors. This replica isn’t just a snapshot of your car and driveway, but a holistic and ever evolving view of all its parts and how they work together. So as your actual car evolves with use and age, like the tire treads gradually wearing down or the motor oil you swore you’d change last week gets dirtier, so does the replica’s. 

This level of fidelity allows you to test how the car in your driveway would fare against environmental conditions, whether isolated or continuous, and how those conditions would affect your vehicle's performance over time. In practice, if your daily driver hits a pothole on your way to work, the digital twin can tell you how this will affect the car and each of its individual parts over the next 20 miles or even the next 20 years. 

Not Even the Sky’s the Limit for Digital Twins

With this technology, designers and engineers become kids in a sandbox. They have greater and more impactful tools to create, test, validate, and play with an object and the environment it occupies in real time — all while developing actionable data about how the physical object would perform in limitless scenarios.

The ability to test in a similarly limitless capacity affords endless and incredible possibilities.Because digital twins can be made of anything at any scale, people are not just limited to individual objects. In fact, entire factories and facilities can be digitally duplicated, resulting in incalculable impacts. For large manufacturers, this means developing better products faster and with less waste, contributing not only to their balance sheet but a more sustainable future for all. For consumers, it translates to deeply personalized data about the products they use every day, giving a better understanding of performance, maintenance, and other areas of impact and opportunity.

Explore the Horizons of Digital Twins with WongDoody

At WongDoody, we are explorers, dreamers, and pioneers fascinated by what happens when you combine compelling insights with today’s most innovative technology. We utilize a robust constellation of tools brought together by our parent company, Infosys, to solve some of the most complex challenges organizations face. By starting with an understanding of the needs of our clients, their employees, and their customers, we’re able to craft human experiences that speak to all. Some of this is made possible by the digital twins we’ve developed for companies allover the world. 

If you're interested in learning more about digital twins, contact us or read more about how we redefined the future of vehicle customization byway of digital twins for German automaker Smart.

Drew Ross
Drew Ross
Senior Business Development Associate

“Houston, we have a problem.” 

Jack Swigert spoke these words, perhaps the most memorable in all of space travel, while aboard the Apollo 13 spaceship. Two hundred thousand miles from Earth and hurtling toward the moon, the ship's oxygen tank exploded, placing the rocket and its three astronauts in grave and unprecedented danger. A perilous six-day odyssey ensued, with the astronauts aboard and scientists back home working day and night to get the ship back to Earth. It ultimately does, finding a safe cushion in the Pacific – making headlines around the world and heroes of the astronauts. However, many people don't realize that the successful return of Apollo 13 was due in no small part to a technology called a digital twin. 

NASA developed “Living Model” technology — the first of its kind — back in 1960 during the initial Apollo missions. During the Apollo 13 crisis, scientists used multiple Earth-bound simulators of the ship to test, evaluate, and iterate on solutions and extend them to the real-life version in the sky. Fast forward 50 years and the concept of a digital twin hasn’t changed much, only its impact, potential, and barrier to entry.

A Closer Look at Digital Twins

A digital twin, in the broadest sense, is a living, breathing virtual replica of a physical counterpart. It starts with in-depth modeling, crafting a hyper-specific and accurate depiction of an object, including all its parts and the environment it occupies, no matter how complex or intricate it may be. Once a digital model is developed, scientists attach sensors to the physical twin, allowing for constant communication between the two. This gives observers not only an accurate digital replica at the time of measurement but also one that evolves and changes in parallel with its physical counterpart.

Complex machinery is one of the primary use cases for digital twins, and surprisingly one of the easiest ways to explain them. Think of a car, whether hypothetical or the one currently sitting in your driveway. Now, imagine that through technological wizardry you have a perfect digital replica of this car, as well as data on weather, terrain types, and other environmental factors. This replica isn’t just a snapshot of your car and driveway, but a holistic and ever evolving view of all its parts and how they work together. So as your actual car evolves with use and age, like the tire treads gradually wearing down or the motor oil you swore you’d change last week gets dirtier, so does the replica’s. 

This level of fidelity allows you to test how the car in your driveway would fare against environmental conditions, whether isolated or continuous, and how those conditions would affect your vehicle's performance over time. In practice, if your daily driver hits a pothole on your way to work, the digital twin can tell you how this will affect the car and each of its individual parts over the next 20 miles or even the next 20 years. 

Not Even the Sky’s the Limit for Digital Twins

With this technology, designers and engineers become kids in a sandbox. They have greater and more impactful tools to create, test, validate, and play with an object and the environment it occupies in real time — all while developing actionable data about how the physical object would perform in limitless scenarios.

The ability to test in a similarly limitless capacity affords endless and incredible possibilities.Because digital twins can be made of anything at any scale, people are not just limited to individual objects. In fact, entire factories and facilities can be digitally duplicated, resulting in incalculable impacts. For large manufacturers, this means developing better products faster and with less waste, contributing not only to their balance sheet but a more sustainable future for all. For consumers, it translates to deeply personalized data about the products they use every day, giving a better understanding of performance, maintenance, and other areas of impact and opportunity.

Explore the Horizons of Digital Twins with WongDoody

At WongDoody, we are explorers, dreamers, and pioneers fascinated by what happens when you combine compelling insights with today’s most innovative technology. We utilize a robust constellation of tools brought together by our parent company, Infosys, to solve some of the most complex challenges organizations face. By starting with an understanding of the needs of our clients, their employees, and their customers, we’re able to craft human experiences that speak to all. Some of this is made possible by the digital twins we’ve developed for companies allover the world. 

If you're interested in learning more about digital twins, contact us or read more about how we redefined the future of vehicle customization byway of digital twins for German automaker Smart.

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