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Strategic Assets Management Systems Advisors (ISO 55000)

Aerospace | Agriculture | AI-Ilm | AI Economy | Deep Space

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Mining | Optical Systems | Technology | Water

MANUFACTURING

DIGITAL TWINS

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"يَـٰٓأَيُّهَا ٱلَّذِينَ ءَامَنُوا۟ لَا تَأْكُلُوٓا۟ أَمْوَٰلَكُم بَيْنَكُم بِٱلْبَـٰطِلِ إِلَّآ أَن تَكُونَ تِجَـٰرَةً ..."

"O believers! Do not devour one another’s wealth illegally, but rather trade by mutual consent..."

Holy A- Quran: Surat An-Nisa' 4 Verse 29

DIGITAL TWINS

Theme

Lawful Collaboration >> Alignment >> Strategic Integration

Our Focus

Capital Projects Strategy >> Private Equity >> Digital Infrastructure

Lead Policy Advisor

Pacific Enterprises International Syndicate - PEIS

Project Lead: Afro Eurasian Coalition (AEC) LLC USA

Program Lead: Mohammad Afzal Mirza, President, AEC LLC USA

Certifications

USA DOD CAGE CODE: Active

AEC-PEIS NAICS Code: 541690 Scientific & Technical Consulting

AEC-PEIS SIC Code: 87420501; PEIS SA FCC FRN #: 0034792853

Context

"Recent years have witnessed a significant increase in the demand and interest in applications that involve collaborative teams developing and analyzing Digital Twins to support decision making in various fields, including science, engineering, medicine, urban planning, and more." Source: National Science Foundation USA
The concepts of Digital Twins can be traced back to the 1960s, when NASA needed to simulate systems in space, but the digital technology in the AECO Space is rapidly emerging as BIM Integrated Systems utilization.
As virtual replicas of the real world, digital twins enable real-world live bi-directional data connections between the physical and digital worlds to enable users to predict, simulate, and inform decisions based on real-world performance data.
A digital twin utilizes all of the data generated in the planning, design, building stages of a project to fully support the entire built asset lifecycle with operational data to ensure performance accuracy.
For products, buildings and facilities, digital twins allow owners to quick accelerate operational readiness, deliver better occupant comfort, and have structured asset data to improve product performance across their entire portfolio.
How Would a Digital Twin Benefit?

Digital Twin Economics

Additive Manufacturing | Artificial Intelligence |

Augmented Reality (AR) | Blockchain |

Combined Heat & Power (CHP) | Digital Twin |

Directed Energy Deposition (DED) | Distributed Ledger |

Electric Propulsion | Geothermal | Infrared Remote Sensing | LiDAR |

Microwave Reaction Technology (MRT) |

Machine Learnings (ML) | SMART Contracts | Virtual Reality (VR)

Digital Twin Economics refers to the study of the financial impacts and benefits of digital twin technology. It analyzes how digital twins, which are virtual representations of physical assets, systems, or processes, can create value across different industries and organizations. Essentially, it's about understanding the return on investment (ROI) of using digital twins to optimize operations, improve decision-making, and drive innovation.

What are Digital Twins?

A Digital Twin is a virtual replica of a physical object, process, or system that is updated in real-time with data from its physical counterpart.
Digital Twin used for simulation, analysis, and control to optimize performance, monitor operations, and make informed decisions.
Digital Twins are virtual models that reflect the characteristics and behavior of real-world objects, processes, or systems.

How Digital Twins Work?

They are linked to real-world data sources, like sensors and IoT devices, which provide real-time data to keep the digital twin synchronized with its physical counterpart.

Why Digital Twins Being Used?

Digital twins are used to simulate, analyze, and control physical objects, processes, or systems. For example, a manufacturer might use a digital twin of a production line to simulate different scenarios and optimize performance.

Benefits

Predictive maintenance: By monitoring the digital twin, businesses can predict potential failures and schedule maintenance proactively.
Optimization: Digital twins can be used to optimize processes, designs, and operations, leading to increased efficiency and reduced costs.
Enhanced collaboration: Digital twins can facilitate collaboration between different teams and stakeholders by providing a common platform for visualizing and analyzing data.

Examples

Manufacturing: To optimize production processes, predict equipment failures, and improve product quality.
Healthcare: To personalize treatment plans, predict patient outcomes, and monitor health conditions.
Smart cities: To optimize traffic flow, manage energy consumption, and improve infrastructure.
Energy: To optimize power generation, monitor grid performance, and improve energy efficiency.

Types of Digital Twins

There are different types of digital twins, including:

Digital Twin Prototype (DTP): Used before a physical product is created to test Different Design concepts.
Digital Twin Instance (DTI): Used, once a product is manufactured to simulate its behavior under different usage scenarios.
Digital Twin Aggregate (DTA): Used to analyze the performance of a population of products or systems.

Technologies Trends up to 2050

👉Tech Developments are attracting the most Venture Capital and producing the Most Patent Filings.

They include next-level Process Automation and Virtualization, and seamless connectivity through 5G and the Internet of Things (IoT).

👉Other areas to watch include Trust Architecture – which verifies the Trustworthiness of Devices as Data Flows Across Networks – Next-Generation Smart Materials and Artificial Intelligence (AI) Algorithms that Train Machines and Strategic Human Capital.

The Lawful Technology Transfer & Commercialization (T2C) Partners

USA System for Award Management (SAM) & DoD CAGE Code Status: Active

USA Prime NAICS Code: 541690 Prime SIC Code: 87420501

Federal Communications Commission (FCC) FRN #: 0034792853

Venture Investment Strategy

Autonomous Economics At Scale: Capability Assessment & Analysis Processes (CAAP)

Deliverable: Quantum Compatible Autonomous Digital Infrastructure (CADI)

Product: Digital Infrastructure Distributed Clusters (DIDC)

Cybersecurity Framework: Post-Quantum Advanced Encryption Standard (PAES)

User Friendly Interface: Autonomous Digital Assets Management (ADAM)

MUGHALS Development Focus: Economic Development Programs (EDPS)

Innovative Technologies Transforming Industries

Additive Manufacturing

1. 3D Printing

2. 4D Printing

3. Direct Energy Deposition (DED)

4. Selective Laser Sintering (SLS)

5. Stereolithography (SLA)

Artificial Intelligence (AI)

1. Machine Learning (ML)

2. Deep Learning (DL)

3. Natural Language Processing (NLP)

4. Computer Vision

5. Robotics

Internet of Things (IoT)

1. Industrial IoT (IIoT)

2. Smart Sensors

3. Real-time Data Analytics

4. Cloud Computing

5. Cybersecurity

Robotics

1. Collaborative Robots (Cobots)

2. Autonomous Robots

3. Human-Machine Interface (HMI)

4. Robot Vision

5. Sensor Integration

Digital Twins

Definition: A virtual replica of a physical asset, system, or process, simulated in real-time to optimize performance, predict maintenance, and improve decision-making.

Types of Digital Twins

1. Component Twin (e.g., engine, pump)

2. System Twin (e.g., manufacturing line, power grid)

3. Process Twin (e.g., supply chain, logistics)

4. Facility Twin (e.g., building, factory)

Key Characteristics

1. Virtual representation

2. Real-time data integration

3. Simulation and analysis

4. Predictive maintenance

5. Optimization and improvement

Blockchain

1. Supply Chain Management

2. Quality Control

3. Authentication

4. Secure Data Storage

5. Smart Contracts

Nanotechnology

1. Materials Science

2. Energy Storage

3. Medical Devices

4. Water Purification

5. Textiles

Advanced Materials & Alloys

1. Carbon Fiber Reinforced Polymers (CFRP)

2. Graphene

3. Nanomaterials

4. Smart Materials

5. Biomaterials

Industry 4.0

1. Smart Manufacturing

2. Digital Thread

3. Predictive Maintenance

4. Quality 4.0

5. Industrial Cybersecurity

Applications

1. Aerospace

2. Agriculture

3. Automotive

4. Healthcare

5. Energy

6. Consumer Products

7. Logistics

8. Food Processing

9. Pharmaceuticals

Virtual and Augmented Reality

1. Virtual Reality (VR)

2. Augmented Reality (AR)

3. Mixed Reality (MR)

4. Industrial Training Simulators

5. Design Visualization

Comprehensive Sustainability Framework

Environmental Pillars

1. Climate Change and Energy: Reduce greenhouse gas emissions, increase renewable energy use.

2. Water Conservation: Efficient water management, reduce waste.

3. Waste Management: Minimize, reuse, recycle, optimize waste-to-resource.

4. Biodiversity and Ecosystems: Protect, restore, promote eco-friendly practices.

5. Resource Efficiency: Optimize materials, reduce consumption.

Social Pillars

1. Human Rights and Labor Practices: Ensure fair labor conditions, respect human rights.

2. Community Engagement and Development: Foster positive relationships, support local economies.

3. Health and Well-being: Promote employee and community health.

4. Diversity, Equity, and Inclusion: Encourage inclusive culture, equal opportunities.

5. Education and Training: Develop skills, promote sustainability awareness.

Economic Pillars

1. Sustainable Supply Chain: Manage suppliers, promote responsible practices.

2. Sustainable Products and Services: Develop eco-friendly offerings.

3. Innovation and Technology: Leverage clean tech, innovative solutions.

4. Economic Growth and Development: Support local economies, create jobs.

5. Transparency and Accountability: Report progress, ensure responsible governance.

Implementation and Governance

1. Policy and Strategy: Establish clear sustainability goals.

2. Organization and Governance: Define roles, responsibilities.

3. Metrics and Reporting: Track key performance indicators (KPIs).

4. Stakeholder Engagement: Collaborate with internal, external stakeholders.

5. Continuous Improvement: Regularly review, refine framework.

United Nations Sustainable Development Goals (UN SDGs)

Integrate SDGs into framework, aligning with global priorities.

Some sustainability frameworks:

1. Global Reporting Initiative (GRI)

2. Sustainability Accounting Standards Board (SASB)

3. Dow Jones Sustainability Index (DJSI)

4. CDP (Carbon Disclosure Project)

5. UN Global Compact

Critical and Emerging Technologies

Areas Having Particular Importance to the National Security

1) Advanced Computing

2) Advanced Engineering Materials

3) Advanced Gas Turbine Engine Technologies

4) Advanced Manufacturing

5) Advanced and Networked Sensing and Signature Management

6) Advanced Nuclear Energy Technologies

7) Artificial Intelligence

8) Autonomous Systems and Robotics

9) Biotechnologies

10) Communication and Networking Technologies

11) Directed Energy

12) Financial Technologies

13) Human-Machine Interfaces

14) Hypersonics

15) Inter Satellite Communication Algorithms

16) Networked Sensors and Sensing

17) Quantum Information Technologies

18) Renewable Energy Generation and Storage

19) Semiconductors and Microelectronics

20) Space Technologies and Systems

Underlying Technologies

As per one legal definition, Underlying Technology MEANS "the level of technology that Underlies Multiple Applications, at least one application of which is outside of the Business, as of the Closing Date, rather than being directed to only a specific application, but only to the extent such technology is common to such applications."

👉 In an environment of rapidly evolving cybersecurity threats, the continued reliance on the Data Encryption Standard (DES) and other Non-Standard Encryption Algorithms poses a significant threat to the security of sensitive Data and Information Systems.

👉 In accordance with the OECD and the U.S. Laws, Policies and Guidelines, we are developing Suits of Algorithms to Lawfully Strengthen and Integrate Interoperability and Compatibility of existing Digital Infrastructures.

👉 As currently, one of the major challenges include to overcome the vulnerabilities of the continued use of the deprecated DES and other non-standard algorithms.

Digital Twins

Asset or Product Digital Twins | Component Twins | Process Twins | System Twins

By 2025, more than 50 billion devices will be connected to the IoT, generating 79.4 zettabytes of data yearly. Annual installations of Industrial Robots, which have increased two times to about 450,000 since 2015, will grow to about 600,000 by 2022, even as 70 percent of Manufacturers will be regularly using Digital Twins by 2022. Gradually, across Industries, manufacturing processes will be replaced by Additive Manufacturing (AM).

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Critical and Emerging Technology (CET) Subfields

Each identified CET Area includes a set of Key Subfields

Advanced Engineering Materials

Materials by design and material genomics
Materials with new properties
Materials with substantial improvements to existing properties
Material property characterization and lifecycle assessment

Advanced Computing

Supercomputing
Edge computing
Cloud computing
Data storage
Computing Architectures
Data Processing and Analysis

Advanced Manufacturing

Additive Manufacturing
Clean, Sustainable Manufacturing
Smart Manufacturing
Nanomanufacturing

Gas Turbine Engine Technologies

Aerospace, Maritime, and
Industrial Development and Production Technologies

Advanced and Networked Sensing and Signature Management

Payloads, Sensors, and Instruments
Sensor Processing and Data Fusion
Adaptive Optics
Remote sensing of the Earth
Signature Management
Nuclear Materials Detection and Characterization
Chemical Weapons Detection and Characterization
Biological Weapons Detection and Characterization
Emerging Pathogens Detection and characterization
Transportation-sector Sensing
Security-sector sensing
Health-sector sensing
Energy-sector sensing
Building-sector sensing
Environmental-sector sensing

Advanced Nuclear Energy Technologies

Nuclear energy systems
Fusion energy
Space nuclear power and propulsion systems

Artificial Intelligence (AI)

Autonomous Systems and Robotics

Air
Maritime
Space
Surfaces

Hypersonics

Propulsion
Aerodynamics and Control
Materials
Detection, Tracking, and Characterization (DTC)
Defense

Renewable Energy Generation and Storage (REGS)

Renewable generation
Renewable and Sustainable Fuels
Energy Storage
Electric and Hybrid Engines
Batteries
Grid Integration Technologies (GIT)
Energy-Efficiency Technologies (EET)

Biotechnologies

Nucleic Acid and Protein Synthesis
Genome and Protein Engineering including design tools
Multi-omics and other Biometrology, Bioinformatics, Predictive Modeling, and Analytical Tools for Functional Phenotypes
Engineering of Multicellular Systems
Engineering of Viral and Viral Delivery Systems
Biomanufacturing and Bioprocessing Technologies

Communication and Networking Technologies

1. Radio-frequency (RF) and Mixed-Signal Circuits (MSC), Antennas, Filters, and Components
2. Spectrum Management Technologies
3. Next-Generation Wireless Networks including 5G and 6G Optical Links and Fiber Technologies
4. Terrestrial / Undersea Cables (TUC)
5. Satellite-Based Communications
6. Hardware, Firmware, and software
7. Communications and Network Security
8. Mesh Networks / Infrastructure Independent Communication Technologies

Financial Technologies

1. Distributed ledger technologies
2. Digital assets
3. Digital Payment Technologies
4. Digital Identity Infrastructure

Human-Machine Interfaces

1. Augmented reality
2. Virtual Reality
3. Brain-Computer Interfaces (BCI)
4. Human-Machine Teaming (HMT)

Quantum Information Technologies

1. Quantum Computing
2. Materials, Isotopes, and Fabrication Techniques for Quantum Devices
3. Post-Quantum Cryptography
4. Quantum Sensing
5. Quantum Networking

Semiconductors & Microelectronics

1. Design and Electronic Design Automation Tools
2. Manufacturing Process Technologies (MPT) and Manufacturing Equipment
3. Beyond Complementary Metal-Oxide-Semiconductor (CMOS) Technology
4. Heterogeneous Integration and Advanced Packaging
5. Specialized / Tailored Hardware Components for Artificial Intelligence, Natural and Hostile Radiation Environments, RF and Optical Components, High-Power Devices (HPD), and other Critical Applications
6. Novel Materials for Advanced Microelectronics
7. Wide-Bandgap and Ultra-Wide-Bandgap Technologies (WUBT) for Power Management, Distribution, and Transmission