IoT E-Governance App

Smart IoT Compliance & Monitoring Suite

Developed an interactive industrial digital twin dashboard using React, Three.js, and D3, solving CPU main-thread blocking by decoupling telemetry updates from React state rendering.

Client:Enterprise Regulation Entity
Timeline:8 months
Team:Systems & WebGL Engineer
ReactViteThree.jsReact Three FiberD3.jsLeafletRadix UI
System Architecture

The Challenge

Handling major CPU thread blocking and rendering lag caused by high-frequency smart sensor inputs, and establishing cross-browser GPU compliance fallbacks.

The Solution

Decoupled telemetry state bindings from React rendering cycles and developed an automated regulatory penalty compliance evaluator.

My Approach

1

Decoupled Canvas Painting

Mapped live IoT variables directly to Three.js meshes using mutable references inside a requestAnimationFrame rendering loop, bypassing React virtual DOM updates.

2

D3 Sankey Flow Mapping

Mapped complex thermodynamic and chemical inputs flowing into processing units and attributing waste paths.

Results & Impact

60 fps
Rendering Frame Rate

WebGL facility display under 1K concurrent sensor inputs

70%
Manual Oversight Cut

Automated penalty evaluation efficiency

Technical Highlights

Direct Ref Material Painting

Updating materials directly in-engine to bypass state hooks.

requestAnimationFrame(() => { meshRef.current.material.color.setHSL(tempVal, 1.0, 0.5); });

Lessons Learned

  • Direct GPU canvas manipulation is mandatory for live telemetry
  • Graceful 2D SVG fallbacks preserve accessibility

Next Steps

  • Integrate predictive AI models forecasting hardware failure schedules
  • Deploy localized thermal imaging drone maps

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