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Digital Twin

Industrial Digital Twin Solutions

PHYSICAL TO DIGITAL REPRESENTATION

SYSTEM MAPPING
From the Physical System to Its Digital Representation

Industrial systems can be complex. Machines, production lines, robotic cells, and facilities contain large amounts of engineering and operational information. A Digital Twin creates a digital representation of a physical asset or process and connects that representation with information generated by the real system.

PHYSICAL SYSTEM
Source environment
↓
Machines / Sensors / PLCs
Hardware endpoints
↓
Industrial Data
Telemetry & status logs
↓
DIGITAL TWIN
Virtual core engine
↓
Visualization / Analysis / Simulation
Actionable insights
CUSTOM SCALING
The level of detail and functionality depends directly on the operational requirements of the application.

MORE THAN A 3D MODEL

DIGITAL EVOLUTION Beyond Geometry into Dynamic Intelligence

A 3D model represents only the physical appearance or geometry of an object. A Digital Twin goes much further by connecting that digital representation with live, contextual information about the real system.

3D Model Physical appearance and structural geometry.
Engineering Data Specifications, schematics, and design parameters.
Operational Data Live telemetry, sensor feeds, and production metrics.
System Behaviour Kinematics, logic, and automated response models.
EQUATION = DIGITAL TWIN
Allows engineers and operators to interact with a complete, intelligent digital representation of an industrial asset or process.

WHAT A DIGITAL TWIN COVERS

MULTI-LAYERED SIMULATION Comprehensive Industrial Simulation Layers

GPLG builds multi-layered digital twins that span mechanical movement, operational flow, automation logic, and operator training to optimize industrial environments.

Kinematic & Mechanical Twins Virtual simulation of physical motion, axis movements, robot trajectories, and mechanical wear.
Process & Flow Twins Modeling material handling, production throughput, bottlenecks, and line balancing.
Automation & PLC Code Twins Virtual commissioning environments to test and debug PLC and CNC code safely offline.
Energy & Thermal Twins Simulating power consumption, thermal behavior, and environmental factors across machinery.
Historical & Predictive Twins Replaying historical operational sequences to analyze past failures or predict future anomalies.
Operator Training Twins Interactive virtual environments for training operators and maintenance personnel on complex cells.
HOLISTIC SIMULATION
Bridging physical assets with multi-layered virtual replicas for total plant optimization.

INDUSTRIAL REPRESENTATION & ARCHITECTURE

DIGITAL MODELS What Can Be Represented?
Machines Digital representations of individual industrial machines.
Production Lines Relationships and flow between multiple machines.
Robotic Cells Robotic systems, equipment and processes.
Warehouses Storage systems, material flows and handling.
Facilities Industrial environments and infrastructure.
Processes Production processes and operational behavior.
DIGITAL TWIN ARCHITECTURE Connecting Physical & Digital
PHYSICAL WORLD
Machine Robot PLC Sensors CNC
↓
Industrial Data Collection
↓
Digital Twin Core Engine
↓
Visualization Simulation Analysis
↓
Engineering & Software Applications
INTEGRATION LAYER
Connecting shop-floor info with engineering applications.

DATA CONNECTION & VISUALISATION

DATA CONNECTION Reflecting Real Industrial Conditions

Depending on the project, information can be obtained from diverse plant endpoints to update and interact with the digital representation.

PLC systems
Sensors
Machines
CNC equipment
Robots
SCADA
Industrial software
Databases
IoT systems
ARCHITECTURAL FLEXIBILITY
Not every Digital Twin requires real-time data. The architecture depends entirely on the intended application.
VISUALISATION Understanding Complex Systems

Providing a comprehensive visual representation of equipment and processes to give teams deep operational clarity.

OPERATIONAL CLARITY MATRIX
Equipment Layout Spatial & structural mapping
Machine Relationships Interlocked behaviors
Production Flow Throughput & routing
Asset Status Live health & telemetry
Process Behaviour Kinematic simulation
System Configuration Parameter oversight
ENGINEERING INSIGHT
Translating complex multi-variable data into intuitive visual interfaces for engineers and operators.

SIMULATION & AUTOMATION INTEGRATION

SIMULATION Testing Ideas in a Digital Environment

Digital models serve as core assets for engineering and simulation activities, allowing teams to validate concepts safely offline.

Process Simulation: Evaluate how a process behaves under varying operational conditions.
Layout Evaluation: Investigate equipment positioning and production flow efficiency.
Robot Simulation: Test robotic movements, reach, and workspace interference.
Production Scenarios: Simulate line adjustments before implementing changes physically.
Engineering Validation: Verify mechanical and logic aspects prior to physical deployment.
VIRTUAL PROTOTYPING
Eliminate guesswork by validating complex industrial adjustments in a zero-risk digital space.
DIGITAL TWIN + AUTOMATION Connecting Models With Automation

A Digital Twin connects directly to automation systems to mirror live physical processes.

PLC Control logic
↓
Industrial Data Live telemetry
↓
Digital Twin Virtual core
↓
Visualization Operator interface
ADVANCED DEPLOYMENT
For advanced applications, the digital environment integrates seamlessly alongside enterprise simulation and engineering tools.

DIGITAL TWIN + IoT & AI

DIGITAL TWIN + IoT Connecting to Industrial Data

Industrial IoT provides the critical connectivity layer required to collect and stream information from distributed shop-floor equipment.

Machines Plant hardware
↓
Sensors / PLC Signal collection
↓
Industrial IoT Edge transmission
↓
Data Normalized streams
↓
Digital Twin Virtual synchronization
LIVE INTEGRATION
Allows the digital representation to continuously incorporate live information from the physical environment.
DIGITAL TWIN + AI Adding Intelligence

Digital Twin technology and AI complement each other perfectly: the Twin provides structured representation, while AI analyses information to find patterns, anomalies, and optimizations.

Physical System Source
↓
Digital Twin Structure
↓
AI / Analytics Pattern detection
↓
Actionable Insight Optimization
PLG AI ECOSYSTEM
Explore our dedicated PLG AI solutions page for advanced machine learning and industrial intelligence frameworks.

APPLICATIONS & IMPLEMENTATION

APPLICATIONS Where Digital Twins Can Be Used
Engineering Evaluate industrial system designs and configurations.
Production Understand production processes and equipment relationships.
Maintenance Provide equipment models and operational info.
Robotics Represent robotic cells and their surrounding environment.
Warehousing Model automated storage and material-flow systems.
Optimisation Analyse potential process and system improvements.
CROSS-SECTOR VALUE
Scalable digital solutions designed to support engineering, production, and maintenance lifecycles.
IMPLEMENTATION From Physical System to Digital Twin
01
Assessment Understand the physical system and project objectives.
02
Data & Requirements Identify available engineering and operational information.
03
Digital Model Develop the appropriate digital representation.
04
Integration Connect relevant industrial systems and data sources.
05
Validation Compare the digital environment against the physical system.
06
Deployment Implement the Digital Twin within the intended environment.
STRUCTURED DEPLOYMENT
A methodical engineering roadmap ensuring complete alignment from physical reality to virtual execution.

TECHNOLOGIES & GPLG APPROACH

DIGITAL TWIN TECHNOLOGIES Technologies Within the Digital Environment

Our solutions integrate robust, industry-standard technology stacks to ensure seamless interoperability and performance.

3D / CAD
C#
Python
.NET
OPC UA
MQTT
Industrial IoT
SQL
AI / Machine Learning
INTEROPERABLE STACK
Built using modern, scalable engineering tools tailored to your operational ecosystem.
GPLG APPROACH Built Around Real Industrial Systems

A Digital Twin should represent the system accurately enough to be useful for its intended purpose. GPLG approaches Digital Twin projects from a strict engineering perspective:

Physical System
→
Engineering Model
→
Industrial Data
→
Digital Representation
→
Application

The technology and level of detail are selected according to the actual objective of the project.

ENGINEERING PURPOSE
"We don't build digital models simply to look impressive. We build digital representations that have a practical engineering purpose."

Build a Digital Representation of Your Industrial System

Explore how a Digital Twin could support your engineering, automation, production or optimisation objectives.

Discuss a Digital Twin Project

Contact GPLG

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