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Home/Case Studies/Interactive Digital Twin
RESEARCH & INNOVATION

Interactive Digital Twin

Web-Based 3D Digital Twin Model of Industrial Machinery.

Streamed real-time industrial sensor telemetry directly onto an interactive 3D WebGL machine model for predictive maintenance.

Client / ScopeIndustrial Equipment Manufacturer & Smart Factory
Timeline5 Months R&D
RoleLead 3D & IoT Systems Engineer
CategoryRESEARCH & INNOVATION
[ HERO IMAGE: Interactive Digital Twin Interface ]

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Research & Innovation · WebGL & IoT

Next-Generation Industrial Telemetry Visualization

Industrial operators are overwhelmed by tables of abstract sensor values. We engineered a browser-based 3D Digital Twin platform that imports CAD machinery models into WebGL and maps live vibration, temperature, and hydraulic pressure streams directly onto the machine's interactive geometry.

Rendered high-fidelity 60fps 3D CAD assemblies in the browser using Three.js and WebGL
Streamed sub-50ms industrial IoT sensor telemetry over duplex WebSocket connections
Dynamic thermal color-mapping visualizing operational overheating in real time
03 · Executive Overview

Project at a Glance

A web-based digital twin platform allowing factory engineers to inspect live operational health, sensor heatmaps, and historical telemetry directly on a 3D model of industrial machinery.

Domain & Focus

Industrial IoT & 3D Spatial Telemetry Visualization

Stakeholders

Heavy Machinery Manufacturers & Factory Floor Managers

Engagement

Q2 - Q4

Primary Win

Enabled factory operators to pinpoint mechanical failure points spatially in 3D seconds before catastrophic shutdowns.

04 · Operational Bottleneck

The Problem

Heavy machinery produces hundreds of sensor readings per second. When alarms trip, plant managers receive cryptic error codes (e.g. 'Bearing #4 Vibration Exceeded') and struggle to locate the physical component within multi-ton industrial assemblies.

Friction Point #1

Abstract tabular dashboards fail to convey spatial context during critical equipment alerts.

Friction Point #2

Heavy desktop CAD software cannot be run on field tablets or web browsers.

Friction Point #3

Slow anomaly response times leading to costly unplanned assembly line downtime.

Friction Point #4

Difficulty correlating multi-sensor interactions (e.g. friction heat vs bearing rotation).

05 · Strategic Targets

Goals

Technical Goals

  • Smooth 60fps WebGL rendering of complex industrial assemblies on standard web browsers.
  • Sub-100ms telemetry data streaming from factory PLC controllers via WebSockets.
  • Dynamic 3D shader mesh coloring to visualize real-time thermal and stress gradients.
  • TimescaleDB time-series integration for replaying historical failure events in 3D.

Business Goals

  • Reduce mean time to identify mechanical root causes by over 50%.
  • Prevent catastrophic machine burnouts through spatial predictive maintenance.
  • Empower remote technical experts to troubleshoot field equipment without on-site travel.
06 · Ownership & Execution

My Role

Position

Lead 3D Graphics & Systems Architect

Core Responsibilities

  • Engineered the Three.js 3D rendering pipeline and glTF model optimization loader.
  • Wrote custom GLSL vertex and fragment shaders for real-time thermal gradient mapping.
  • Built the WebSocket ingestion gateway streaming telemetry from industrial edge gateways.
  • Integrated TimescaleDB for high-throughput time-series sensor storage and playback.

Primary Focus Areas

3D Computer Graphics (WebGL / Three.js)GLSL Custom Shader DevelopmentReal-Time WebSocket StreamingTime-Series Data Modeling (TimescaleDB)
07 · The Architecture Approach

Solution

The digital twin bridges physical sensors with a living virtual model. Industrial PLC controllers stream vibration, temperature, and RPM metrics to a cloud gateway. The web client projects these readings directly onto specific 3D mesh nodes, highlighting hot bearings or anomalous vibrations instantly.

PILLAR 01

Optimized WebGL Geometry

Decimated and LOD-managed CAD models load in under 2 seconds on web and mobile viewports.

PILLAR 02

Spatial Heatmap Shaders

Custom shaders interpolate sensor values into smooth thermal color gradients across machine surfaces.

PILLAR 03

Time-Travel Telemetry Playback

Rewind and replay sensor logs to inspect exact mechanical conditions leading up to historic breakdowns.

08 · Systems Engineering

Architecture & Data Flow

Low-latency industrial telemetry pipeline connecting physical machine PLCs, WebSocket gateway, TimescaleDB time-series storage, and Three.js rendering client.

01

Edge Sensor Ingestion

MQTT / Industrial Edge Gateway

Factory floor IoT gateway aggregates PLC sensor readings via MQTT protocol.

02

WebSocket Telemetry Hub

Node.js / WebSockets

Node.js WebSocket cluster broadcasts normalized sensor streams to connected web clients.

03

Time-Series Archival

TimescaleDB / PostgreSQL

Telemetry points persist into TimescaleDB hyper-tables for long-term analytical queries.

04

3D WebGL Projection

Three.js / WebGL / GLSL

Three.js client maps sensor floats into dynamic shader uniforms, coloring 3D meshes.

09 · Capabilities

Core Features

Interactive 3D Assembly Explorer

Exploded 3D view

Rotate, zoom, explode, and isolate individual machine components (motors, gears, bearings) in real-time.

Dynamic Thermal & Stress Shaders

Real-time thermal shaders

Meshes dynamically transition from cool blue to warning red as component temperatures rise.

Historical Time-Travel Scrubbing

3D incident replay

Scrub through hours of past telemetry to visualize the exact sequence of events during a mechanical fault.

Predictive Anomaly Callouts

Early failure warnings

Automated visual badges highlighting bearings exhibiting harmonic vibration frequencies indicative of wear.

10 · Tradeoffs & Rationale

Engineering Decisions

glTF Binary (GLB) with Draco Compression vs Raw OBJ/STEP

Chosen Path:Draco-Compressed GLB
Alternative Considered:Raw CAD Export Formats

Why: Compressed a 140MB raw industrial CAD assembly down to 8.2MB, enabling instantaneous browser loading over cellular network connections.

11 · Obstacles & Solutions

Challenges

Challenge #1

Browser GPU Crashes on High-Polygon CAD Assemblies: Complex gears and bolts overwhelming mobile GPU memory.

Engineering Solution

Implemented Level-of-Detail (LOD) mesh decimation and frustum occlusion culling.

System Impact

Maintained steady 60fps performance across laptops and mobile tablets.

12 · Roadmap & Milestones

Implementation Timeline

Phase 1: CAD Conversion & WebGLWeeks 1 - 5

Model Optimization & 3D Shell

  • glTF Draco optimization
  • Three.js camera controls
  • Exploded view logic
Phase 2: IoT Gateway & WebSocketsWeeks 6 - 11

Real-Time Telemetry Pipeline

  • MQTT bridge
  • WebSocket distribution server
  • Sensor node coordinate mapping
Phase 3: Shaders & Spatial HeatmapsWeeks 12 - 16

GLSL Shaders & Time Travel

  • Thermal fragment shaders
  • TimescaleDB historical playback
  • Alert badges
Phase 4: Factory DeploymentWeeks 17 - 20

On-Premise Testing & Launch

  • Factory floor calibration
  • Operator usability testing
  • Production cutover
13 · Measurable Performance

Results & Metrics

60 FPS
Render Performance

Silky smooth 3D interaction maintained across desktop and tablet viewports.

<50ms
Telemetry Latency

Near-instantaneous reflection of physical machine sensor changes in 3D.

55%
Faster Fault Triage

Reduction in time required for technicians to locate physical defect origins.

14 · Visual Gallery

Screenshots

[ SCREENSHOT #1: 3D Digital Twin Machine Assembly with Live Thermal Hotspots ]

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3D Digital Twin Machine Assembly with Live Thermal Hotspots

Interactive WebGL viewport displaying physical machine geometry with dynamic heat mapping.

[ SCREENSHOT #2: Component Isolation & Historical Time-Series Analysis ]

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Component Isolation & Historical Time-Series Analysis

Detailed inspection view of isolated bearing node showing vibration amplitude trends.

15 · Walkthrough

Demo Video

[ DEMO VIDEO PLACEHOLDER ]

Digital Twin Walkthrough: 2-minute video demonstrating 3D machine explosion, live thermal stress mapping, and scrubbing through historical failure logs.

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Demonstration Highlights:

Interactive 3D model rotation and exploded view
Real-time sensor telemetry heating mesh surfaces
Historical failure replay from TimescaleDB
16 · Retrospective

Lessons Learned

1

Industrial CAD files must undergo rigorous geometric cleanup and mesh decimation before they can run smoothly in browser WebGL contexts.

2

Spatial color gradients convey urgent machine status to shop-floor operators 10x faster than traditional numerical dashboards.

17 · Technologies

Tech Stack

3D & Frontend

Three.jsReact Three FiberWebGLGLSL ShadersTailwind CSS

Real-Time & Backend

Node.jsWebSocketsMQTTTimescaleDB

Data & Infrastructure

PostgreSQLDockerNginx
18 · Organizational Value

Business Impact

The digital twin transformed industrial plant maintenance from reactive firefighting into proactive, spatially intuitive equipment management.

Prevented catastrophic machine failures through real-time bearing overheating alerts.
Demonstrated cutting-edge Industry 4.0 capability for prospective international equipment buyers.
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