Digital Twin - Revision history

BPeat at 18:26, 12 July 2024

2024-07-12T18:26:28Z

BPeat at 18:21, 12 July 2024

2024-07-12T18:21:22Z

BPeat: /* Nuclear Plasma Control */

2024-04-01T01:16:08Z

‎Nuclear Plasma Control

BPeat at 01:15, 1 April 2024

2024-04-01T01:15:40Z

BPeat at 13:13, 23 March 2024

2024-03-23T13:13:42Z

BPeat at 22:46, 19 March 2024

2024-03-19T22:46:00Z

BPeat at 22:45, 19 March 2024

2024-03-19T22:45:01Z

BPeat at 22:37, 19 March 2024

2024-03-19T22:37:20Z

BPeat at 18:46, 18 September 2023

2023-09-18T18:46:07Z

BPeat at 00:01, 9 September 2023

2023-09-09T00:01:34Z

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 * [[Immersive Reality]] ... [[Metaverse]] ... [[Omniverse]] ... [[Transhumanism]] ... [[Religion]]
 ** [[Eggplant]]
 * [[Agents]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Assistants]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
-* [[Predictive Analytics]] ... [[Operations & Maintenance|Predictive Maintenance]] ... [[Forecasting]] ... [[Market Trading]] ... [[Sports Prediction]] ... [[Marketing]] ... [[Politics]] ... [[Excel#Excel - Forecasting|Excel]]
+* [[Robotics]] ... [[Transportation (Autonomous Vehicles)|Vehicles]] ... [[Autonomous Drones|Drones]] ... [[3D Model]] ... [[Point Cloud]]
 * [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ...  [[Algorithm Administration#Automated Learning|Automated Learning]]
 * [https://azure.microsoft.com/en-us/services/digital-twins/ Azure Digital Twins |] [[Microsoft]]

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 * [https://sightmachine.com/what-is-digital-twin/ Sight Machine]
 * [https://www.navalnews.com/naval-news/2019/04/us-navy-successfully-tests-new-aegis-virtual-twin-system/ US Navy Successfully Tests New AEGIS Virtual Twin System | Naval News Staff]
+* [https://federalnewsnetwork.com/commentary/2024/07/ai-enabled-digital-twins-are-transforming-government-critical-infrastructure/ AI-enabled digital twins are transforming government critical infrastructure | Burnie Legette - Federal News Network]
 Digital Twin technology is the concept surrounding the creation of a digital "twin" or replica of a physical asset. Digital twins are interactive, artificial intelligence (AI)-based virtual models that serve as digital replicas of real-life objects and/or environments. The benefits of a Digital Twin is to provide an abstraction layer that allows for applications to interact with a device or devices in a consistent manner. The vision of a digital twin is that it follows the lifecycle of a device and the data associated with the device. Digital Twins will enable features like device simulation during [[development]], integration of [[analytics]] and [[Machine Learning (ML)]] during deployment, and so on. [https://medium.com/@iskerrett/the-reality-of-digital-twins-for-iot-a89f7a51c6fc The Reality of Digital Twins for IoT | Ian Skerrett - Medium]

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 = Nuclear Plasma Control =
-he accident at Three Mile Island (TMI), which occurred on March 28, 1979, was a partial meltdown of the nuclear reactor core that resulted from a series of equipment failures and human errors. During the accident, the control room operators received a series of confusing and conflicting signals from the reactor's instruments, which made it difficult for them to understand what was happening and respond effectively. The control room board did not suddenly light up in seconds, but rather displayed a complex and evolving pattern of alarms and indications over a period of several hours. The initial alarm that alerted operators to the problem was a high-pressure indication in the reactor coolant system. Over the next several hours, operators received a series of alarms related to coolant flow, water levels, and reactor temperature, among other factors. The complexity and ambiguity of these signals contributed to delays and errors in the operators' response, ultimately leading to the partial meltdown of the reactor core. The accident at Three Mile Island highlighted the need for improved training, communication, and safety protocols in the nuclear power industry. It also led to significant changes in the regulation and oversight of nuclear power plants, as well as increased public scrutiny and concern about the safety of nuclear energy.
+The accident at Three Mile Island (TMI), which occurred on March 28, 1979, was a partial meltdown of the nuclear reactor core that resulted from a series of equipment failures and human errors. During the accident, the control room operators received a series of confusing and conflicting signals from the reactor's instruments, which made it difficult for them to understand what was happening and respond effectively. The control room board did not suddenly light up in seconds, but rather displayed a complex and evolving pattern of alarms and indications over a period of several hours. The initial alarm that alerted operators to the problem was a high-pressure indication in the reactor coolant system. Over the next several hours, operators received a series of alarms related to coolant flow, water levels, and reactor temperature, among other factors. The complexity and ambiguity of these signals contributed to delays and errors in the operators' response, ultimately leading to the partial meltdown of the reactor core. The accident at Three Mile Island highlighted the need for improved training, communication, and safety protocols in the nuclear power industry. It also led to significant changes in the regulation and oversight of nuclear power plants, as well as increased public scrutiny and concern about the safety of nuclear energy.
 Researchers have successfully demonstrated the world's first predictive control of a fusion plasma using a digital twin approach. The key points are:

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 = Computerized Maintenance Management (CMM) =

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 * [[Immersive Reality]] ... [[Metaverse]] ... [[Omniverse]] ... [[Transhumanism]] ... [[Religion]]
 ** [[Eggplant]]
-* [[Assistants]] ... [[Personal Companions]] ... [[Agents]]  ... [[Negotiation]] ... [[LangChain]]
+* [[Agents]] ... [[Robotic Process Automation (RPA)|Robotic Process Automation]] ... [[Assistants]] ... [[Personal Companions]] ... [[Personal Productivity|Productivity]] ... [[Email]] ... [[Negotiation]] ... [[LangChain]]
 * [[Predictive Analytics]] ... [[Operations & Maintenance|Predictive Maintenance]] ... [[Forecasting]] ... [[Market Trading]] ... [[Sports Prediction]] ... [[Marketing]] ... [[Politics]] ... [[Excel#Excel - Forecasting|Excel]]
 * [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ...  [[Algorithm Administration#Automated Learning|Automated Learning]]

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 Digital twins offer a range of benefits across various industries, revolutionizing operations and driving efficiency. Here are some key advantages of using digital twins in industry:
-<b>Enhanced Monitoring:</b> Digital twins provide real-time insights into the behavior of physical products or processes, enabling companies to track performance trends, health, and potential failures proactively.
+* <b>Enhanced Monitoring:</b> Digital twins provide real-time insights into the behavior of physical products or processes, enabling companies to track performance trends, health, and potential failures proactively.
-<b>Cost Reduction:</b> Organizations can reduce costs and minimize potential failure rates through the use of digital twins, leading to more efficient resource utilization and maintenance practices.
+* <b>Cost Reduction:</b> Organizations can reduce costs and minimize potential failure rates through the use of digital twins, leading to more efficient resource utilization and maintenance practices.
-<b>Improved Decision Making:</b> By offering a comprehensive view of asset performance, digital twins empower organizations to make more informed decisions, ultimately leading to improved outcomes.
+* <b>Improved Decision Making:</b> By offering a comprehensive view of asset performance, digital twins empower organizations to make more informed decisions, ultimately leading to improved outcomes.
-<b>Streamlined Design Process:</b> Digital twins facilitate faster product innovation by allowing companies to simulate and test new products before investing in physical prototypes, thus accelerating the design process.
+* <b>Streamlined Design Process:</b> Digital twins facilitate faster product innovation by allowing companies to simulate and test new products before investing in physical prototypes, thus accelerating the design process.
-<b>Predictive Maintenance:</b> With IoT sensors generating real-time data, businesses can proactively analyze information to identify and address system issues before they lead to breakdowns, enhancing production line efficiency and reducing maintenance costs
+* <b>Predictive Maintenance:</b> With IoT sensors generating real-time data, businesses can proactively analyze information to identify and address system issues before they lead to breakdowns, enhancing production line efficiency and reducing maintenance costs
-<b>Real-time Remote Monitoring:</b> Digital twins enable remote access to monitor and control system performance from anywhere, providing a detailed view of large physical systems that would otherwise be challenging to obtain in real-time.
+* <b>Real-time Remote Monitoring:</b> Digital twins enable remote access to monitor and control system performance from anywhere, providing a detailed view of large physical systems that would otherwise be challenging to obtain in real-time.
-<b>Improved Team Collaboration:</b> Automation processes and continuous access to system information enhance team collaboration among technicians, boosting productivity and operational efficiency.
+* <b>Improved Team Collaboration:</b> Automation processes and continuous access to system information enhance team collaboration among technicians, boosting productivity and operational efficiency.
-<b>Data-backed Decision Making:</b> By integrating financial data into virtual representations, businesses can make better financial decisions faster, leveraging real-time data and advanced analytics for improved outcomes.
+* <b>Data-backed Decision Making:</b> By integrating financial data into virtual representations, businesses can make better financial decisions faster, leveraging real-time data and advanced analytics for improved outcomes.

← Older revision		Revision as of 22:45, 19 March 2024
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	The Digital Twin can allow companies to have a complete digital footprint of their products from design and [[development]] through the end of the product life cycle. This, in turn, may enable them to understand not only the product as designed but also the system that built the product and how the product is used in the field. With the creation of the digital twin, companies may realize significant value in the areas of speed to market with a new product, improved operations, reduced defects, and emerging new business models to drive revenue. The Digital Twin may enable companies to solve physical issues faster by detecting them sooner, predict outcomes to a much higher degree of accuracy, design and build better products, and, ultimately, better serve their customers. With this type of smart architecture design, companies may realize value and benefits interactively and faster than ever before. [https://www2.deloitte.com/insights/us/en/focus/industry-4-0/digital-twin-technology-smart-factory.html Industry 4.0 and the digital twin \| Deloitte Insights]		The Digital Twin can allow companies to have a complete digital footprint of their products from design and [[development]] through the end of the product life cycle. This, in turn, may enable them to understand not only the product as designed but also the system that built the product and how the product is used in the field. With the creation of the digital twin, companies may realize significant value in the areas of speed to market with a new product, improved operations, reduced defects, and emerging new business models to drive revenue. The Digital Twin may enable companies to solve physical issues faster by detecting them sooner, predict outcomes to a much higher degree of accuracy, design and build better products, and, ultimately, better serve their customers. With this type of smart architecture design, companies may realize value and benefits interactively and faster than ever before. [https://www2.deloitte.com/insights/us/en/focus/industry-4-0/digital-twin-technology-smart-factory.html Industry 4.0 and the digital twin \| Deloitte Insights]
		+
		+	Digital twins offer a range of benefits across various industries, revolutionizing operations and driving efficiency. Here are some key advantages of using digital twins in industry:
		+
		+	<b>Enhanced Monitoring:</b> Digital twins provide real-time insights into the behavior of physical products or processes, enabling companies to track performance trends, health, and potential failures proactively.
		+	<b>Cost Reduction:</b> Organizations can reduce costs and minimize potential failure rates through the use of digital twins, leading to more efficient resource utilization and maintenance practices.
		+	<b>Improved Decision Making:</b> By offering a comprehensive view of asset performance, digital twins empower organizations to make more informed decisions, ultimately leading to improved outcomes.
		+	<b>Streamlined Design Process:</b> Digital twins facilitate faster product innovation by allowing companies to simulate and test new products before investing in physical prototypes, thus accelerating the design process.
		+	<b>Predictive Maintenance:</b> With IoT sensors generating real-time data, businesses can proactively analyze information to identify and address system issues before they lead to breakdowns, enhancing production line efficiency and reducing maintenance costs
		+	<b>Real-time Remote Monitoring:</b> Digital twins enable remote access to monitor and control system performance from anywhere, providing a detailed view of large physical systems that would otherwise be challenging to obtain in real-time.
		+	<b>Improved Team Collaboration:</b> Automation processes and continuous access to system information enhance team collaboration among technicians, boosting productivity and operational efficiency.
		+	<b>Data-backed Decision Making:</b> By integrating financial data into virtual representations, businesses can make better financial decisions faster, leveraging real-time data and advanced analytics for improved outcomes.
		+

	<img src="https://miro.medium.com/v2/resize:fit:828/0*bfkHZicdnEqzrObh.gif" width="600">		<img src="https://miro.medium.com/v2/resize:fit:828/0*bfkHZicdnEqzrObh.gif" width="600">

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 * [[Feature Exploration/Learning]]
 * [[Embodied AI]]
 * [https://sightmachine.com/what-is-digital-twin/ Sight Machine]
 * [https://www.navalnews.com/naval-news/2019/04/us-navy-successfully-tests-new-aegis-virtual-twin-system/ US Navy Successfully Tests New AEGIS Virtual Twin System | Naval News Staff]