Advanced digital twin environments allow users to visualize 3D assets and real-time data in large synthetic environments that mimic the real world with unprecedented accuracy.” — Dave Rhodes Senior Vice President for Digital Twins, Unity While this highly complex system-of- systems integration is a challenge in any digital twin environment, imagine if an engineering team had to design a digital representation of you. The potential applications for digital twins now extend beyond the equipment to the individual soldier wearing it. Agencies and organizations increasingly need to understand human performance considerations—specifically, the impact of the uniform and equipment loads individuals are carrying on mobility and muscle strain, stress, training, and environment. Analyzing this information is critical to better serving soldiers as well as astronauts, first responders, and others. From designing custom-fit uniforms and equipment to integrating physical, cognitive, and genetic modeling, organizations are using digital twins of humans, paired with performance insights, INFRASTRUCTURE DIGITAL Figure 1: Approach for a Digital Twin Framework INFRASTRUCTURE PHYSICAL to prepare individuals and teams physically and mentally for the next mission. As with digital twins of soldier systems, digital twins of humans require sophisticated integration of data, tools, and models into a highly visual environment. Information for a digital twin of a human may be collected through connected wearable devices and Internet of Things sensors alongside anatomic, physiological, and clinical sources. To bring it all together, these tools and data must be wrangled from siloed, server-based systems into cloud- based services to integrate and interface with other cloud-based tools. There is no shortage of technical challenges for IT teams as they refactor and test codebases to ensure interoperability with all modules, review security requirements and address them with the migration from on-premises to cloud-based solutioning. The integration of so many systems, models, and data sets—especially those with proprietary information, personally identifiable information, and personal health information—creates unique challenges related to data ownership, security, and privacy. Government agencies will need to design solutions that not only protect sensitive data, providing the right permissions and levels of access depending on the system and the data sets involved, but also foster trust with the public. It becomes critical, then, to think of security and trust as synonymous, from protecting sensitive information across a digital thread to fostering trust in the safety and security of the data needed to create a digital twin of a human. VELOCITY | © 2022 BOOZ ALLEN HAMILTON 43
V1. 2023: Velocity by Booz Allen
Title Name |
Pages |
Delete |
Url |
Empty |
Search Text Block
Page #page_num
#doc_title
Hi $receivername|$receiveremail,
$sendername|$senderemail wrote these comments for you:
$message
$sendername|$senderemail would like for you to view the following digital edition.
Please click on the page below to be directed to the digital edition:
$thumbnail$pagenum
$link$pagenum
Your form submission was a success. You will be contacted by Washington Gas with follow-up information regarding your request.
This process might take longer please wait