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SNU Professor Byeng Dong Youn's Keynote Speech at COMEUP 2020 - Digitalization of Manufacturing and Beyond
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2021.01.15
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SNU Professor Byeng Dong Youn's Keynote Speech at COMEUP 2020
- Digitalization of Manufacturing and Beyond
- Digitalization of Manufacturing and Beyond
On the afternoon of November 20, CEO Byeng Dong Youn (Professor of the SNU Department of Mechanical Engineering, hereinafter referred to as 'CEO Youn'), CEO of OnePredict, an industrial artificial intelligence technology-based startup, gave a lecture on "Digitalization of Manufacturing and Beyond." CEO Youn expressed his ambitions, saying, "I will tell you how we can view and utilize digitalization in the field of energy generation and what our future prospects will be."
First of all, CEO Youn pointed to big data and industrial artificial intelligence technologies in terms of prospects for digitalization. "These two factors are excellent catalysts for developing our industry, and in the future, there will be overwhelming amounts of data coming from materials rather than from people. In such a digital age, data takes the position of indispensable goods like rice and air," said CEO Youn, explaining the growth and ease of digitalization following the birth of the data of things.
Artificial intelligence-based data analysis techniques are possible without physical underlying knowledge as long as there is enough data. However, it is difficult to explain the results physically, and CEO Youn said that "industrial artificial intelligence" technology has arrived with convergence technology that combines domain knowledge and artificial intelligence.
First of all, CEO Youn pointed to big data and industrial artificial intelligence technologies in terms of prospects for digitalization. "These two factors are excellent catalysts for developing our industry, and in the future, there will be overwhelming amounts of data coming from materials rather than from people. In such a digital age, data takes the position of indispensable goods like rice and air," said CEO Youn, explaining the growth and ease of digitalization following the birth of the data of things.
Artificial intelligence-based data analysis techniques are possible without physical underlying knowledge as long as there is enough data. However, it is difficult to explain the results physically, and CEO Youn said that "industrial artificial intelligence" technology has arrived with convergence technology that combines domain knowledge and artificial intelligence.
Here, domain knowledge refers to all the know-how, experience, and knowledge accumulated in the industrial field for a long time, and is characterized by the fact that most of them exist in an implicit form. CEO Youn emphasized that this should not only be transformed into formal knowledge, but also that it should have a convergence technology system that applies this knowledge to industries and fills in areas that cannot be filled with artificial intelligence technology.
Subsequently, they have moved over to how full-fledged industrial artificial intelligence technologies are being developed and what the trends are like. "Industrial artificial intelligence technologies such as "Digital Twin" are the fastest-growing markets in recent years, and their importance has grown more recently due to non-face-to-face virtual environments. These are activities that allow physical assets to be controlled in digital form and even managed by domains. Whatever the facility is, it has become possible to control it through a digital domain, and this is what one calls the creation of added value," said CEO Youn.
According to CEO Youn's explanation, digital twin not only brings efficiency to non-face-to-face work during the current corona situation, but it is also efficient for future multi-faceted issues. It can also improve the quality of manufacturing and productivity while having great economic effects such as reducing design time. As such, the expected effect of the digitalization industry in the future is also tremendous and it can be understood that the market we need to explore is endless.
Subsequently, they have moved over to how full-fledged industrial artificial intelligence technologies are being developed and what the trends are like. "Industrial artificial intelligence technologies such as "Digital Twin" are the fastest-growing markets in recent years, and their importance has grown more recently due to non-face-to-face virtual environments. These are activities that allow physical assets to be controlled in digital form and even managed by domains. Whatever the facility is, it has become possible to control it through a digital domain, and this is what one calls the creation of added value," said CEO Youn.
According to CEO Youn's explanation, digital twin not only brings efficiency to non-face-to-face work during the current corona situation, but it is also efficient for future multi-faceted issues. It can also improve the quality of manufacturing and productivity while having great economic effects such as reducing design time. As such, the expected effect of the digitalization industry in the future is also tremendous and it can be understood that the market we need to explore is endless.
CEO Youn also pointed out that if the future outlook of the expansion of digital twin is to be s to be predicted for when the digital twin is expanded, first of all, it is expected that the elemental parts that are currently developing based on mainly core facilities will expand to larger facilities in the future. Secondly, he highlighted the importance of requiring an advanced strategy to secure and manage data and lastly emphasized that it should be deployed through continuous subscription and utilization of services, once again pointing out the crux of digital twins.
The example of the 'GuardiOne Portfolio' was taken to illustrate his points in an easily understandable manner.
By explaining the GuardiOne turbine, transformer, wind and bearing equipment within the portfolio, CEO Youn further provided insight into digital twin without a hitch. As for the future direction of digital twin, he stated that it would soon be made possible to combine AR and VR technologies to make it possible for anyone to check it from anywhere.
"In the end, the issues that become important in such an era of Untact are 'quality data' and 'industrial data analysis technology'," said CEO Youn. "People who are capable of handling industrial data and possess advanced technologies as well as sustainable models will dominate this digital era," he added.
The example of the 'GuardiOne Portfolio' was taken to illustrate his points in an easily understandable manner.
By explaining the GuardiOne turbine, transformer, wind and bearing equipment within the portfolio, CEO Youn further provided insight into digital twin without a hitch. As for the future direction of digital twin, he stated that it would soon be made possible to combine AR and VR technologies to make it possible for anyone to check it from anywhere.
"In the end, the issues that become important in such an era of Untact are 'quality data' and 'industrial data analysis technology'," said CEO Youn. "People who are capable of handling industrial data and possess advanced technologies as well as sustainable models will dominate this digital era," he added.
As 'digitalization' is not very unfamiliar to the public, the talk was also followed by questions from enthusiastic viewers. As for the first question regarding the experiencing of digital twins and the experiencing of each industry, CEO Youn said, "The current sense of experiencing digitalization is not quite necessary yet, but is received to be something that is still good to have. However, the level of experiencing it varies depending on the industrial group. We expect to see differentiated digitalization depending on the industry, but I think it will gradually expand."
The second biggest obstacle to digital transformation can be divided into two reasons; the need to further systematize 'data acquisition' as well as responding to the rejection and uncomfortableness in existing people due to sudden digitalization, making it a challenge that must be solved in the future.
When asked, "What do you think is the biggest added value of digital twin to Korea?" he wrapped up his talk by answering that one must attempt to make the most of human resources, taking Korea, a manufacturing powerhouse, as an example.
Original Article : https://www.venturesquare.net/818285
To Watch the Lecture : https://youtu.be/BLUbdDIrQrQ
The second biggest obstacle to digital transformation can be divided into two reasons; the need to further systematize 'data acquisition' as well as responding to the rejection and uncomfortableness in existing people due to sudden digitalization, making it a challenge that must be solved in the future.
When asked, "What do you think is the biggest added value of digital twin to Korea?" he wrapped up his talk by answering that one must attempt to make the most of human resources, taking Korea, a manufacturing powerhouse, as an example.
Original Article : https://www.venturesquare.net/818285
To Watch the Lecture : https://youtu.be/BLUbdDIrQrQ
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