Digital Twin Innovation Insights from Patents
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Patents are a good information resource for obtaining the state of the art of deep learning for digital twin technology innovation insights. Patents that specifically describe the major digital twin technologies/applications are a good indicator of the digital twin technology innovations in a specific innovation entity. To find the digital twin technology innovation status, patent applications in the USPTO as of September 15, 2021 that specifically describe the major technologies/applications in digital twin are searched and reviewed. 190 published patent applications that are related to the key digital twin technology innovation are selected for detail analysis. Following figure shows the digital twin patent application landscape with respect to the innovation entity. As shown in the figure, the key digital twin innovation entities are General Electric, Siemens, Johnson Controls Technology, IBM, Toyota, CohesionIB, Honeywell, Philips, Rockwell Automation Technologies, and PTC.
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Digital Twin Innovation Insights from Patents
- 1. 1 ©2021 TechIPm, LLC All Rights Reserved http://www.techipm.com/ Digital Twin Innovation Insights from Patents Alex G. Lee1 Patents are a good information resource for obtaining the state of the art of deep learning for digital twin technology innovation insights. Patents that specifically describe the major digital twin technologies/applications are a good indicator of the digital twin technology innovations in a specific innovation entity. To find the digital twin technology innovation status, patent applications in the USPTO as of September 15, 2021 that specifically describe the major technologies/applications in digital twin are searched and reviewed. 190 published patent applications that are related to the key digital twin technology innovation are selected for detail analysis. Following figure shows the digital twin patent application landscape with respect to the innovation entity. As shown in the figure, the key digital twin innovation entities are General Electric, Siemens, Johnson Controls Technology, IBM, Toyota, CohesionIB, Honeywell, Philips, Rockwell Automation Technologies, and PTC. 1 Alex G. Lee, Ph.D Esq., is a principal consultant and patent attorney at TechIPm, LLC.
- 3. 3 ©2021 TechIPm, LLC All Rights Reserved http://www.techipm.com/ Following figure shows the digital twin patent application landscape with respect to the key technology innovation field. As shown in the figure, Industrial Asset Management is the most innovated digital twin technology followed by Digital Twin Management, Building Management System (BMS), Human Digital Twin, Transportation/Vehicular Applications, Augmented Reality (AR) Applications, Equipment/Tool/Machine Management, Industrial Automation/Process Control System, Automated Manufacturing/Assembly System, Product Digital Twin, Additive Manufacturing Applications, Computing Facility Management, Cyber Security Applications, Built Infrastructure Model (BIM), Cyber-Physical System Management, Medical, Equipment Management, Physical Environment Digital Twin, Robot Control System, Supply Chain Process Flow Management, Virtual Computing Device/Infrastructure, Electric Power System Management, Commissioning Management System, Construction Project Management, Flight Management System (FMS), Industrial Production Process Management, Monitoring System Applications, Power-Thermal Management System (PTMS), and Virtual AI Development Environment.
- 4. 4 ©2021 TechIPm, LLC All Rights Reserved http://www.techipm.com/ Industrial Asset Management 18% Digital Twin Management 15% Building Management System (BMS) 14% Human Digital Twin 9% Transportation/Vehicular Applications 7% Augmented Reality (AR) Applications 5% Equipment/Tool/Machine Management 5% Industrial Automation/Process Control System 4% Automated Manufacturing/Assembly System 3% Product Digital Twin 3% Additive Manufacturing Applications 2% Computing Facility Management 2% Cyber Security Applications 2% Built Infrastructure Model (BIM) 1% Cyber‐Physical System Management 1% Medical Equipment Management 1% Physical Environment Digital Twin 1% Robot Control System 1% Supply Chain Process Flow Management 1% Virtual Computing Device/Infrastructure 1% Electric Power System Management 1% Commissioning Management System 1% Construction Project Management 1% Flight Management System (FMS) 1% Industrial Production Process Management 1% Monitoring System Applications 1% Power‐Thermal Management System (PTMS) 1% Virtual AI Development Environment 1% Other 7% Digital Twin Technology Landscape
- 5. © A e i t t ©2021 TechIPm, A patent coun evolution of t innovation gro the publicatio technology in LLC All Rights Re nting for grow echnology inn owth trends. S on date by arou nnovation activ Number of Patent Applications eserved http://ww wth in patentin novation. Foll Since there is und two years vity is in peak 0 10 20 30 40 50 60 70 2014 Number of Patent Applications ww.techipm.com ng over a perio lowing patent usually a tim s, the patent a k around 2019 2015 2016 / od of times ca t application a me lag between application act 9 and a slow g 2017 2018 Priority Year an be a good m activity chart n the initial ap tivity chart in growth stage. 2019 2020 measuring too shows the dig pplication date ndicates that th 2021 ol for monitor gital twin tech e (priority yea he digital twin 5 ring the hnology ar) and n
- 6. 6 ©2021 TechIPm, LLC All Rights Reserved http://www.techipm.com/ Following figure compares the digital twin technology innovation landscape of General Electric and Siemens.