ChronoPhys WebMCP Gateway v6.0

Agent-native industrial vibration telemetry, ISO 10816-3 diagnostics, and failsafe control via WebMCP tools and 3D digital twin.

Comment

Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for ChronoPhys WebMCP Gateway v6.0

Inspiration

Industrial rotating machinery failure causes millions in unexpected downtime. Traditional vibration analysis requires contact accelerometers, manual tuning, and isolated dashboards. We built ChronoPhys WebMCP Gateway v6.0 to transform predictive maintenance into an agent-native collaborative ecosystem. Using the emerging W3C WebMCP standard, AI agents can inspect physical vibration, detect ISO 10816-3 threshold trips, trigger deterministic failsafes, and manage parts procurement seamlessly alongside human reliability engineers.

What It Does

  • Agent-Native WebMCP Tools: Exposes 12 native tools via document.modelContext.registerTool, including query_catalog, trigger_emergency_throttle, auto_lock_components, and generate_maintenance_audit.
  • Riesz Phase-Based Motion Magnification (EVM): Amplifies sub-pixel machinery micro-vibrations in real time without contact sensors.
  • ISO 10816-3 & ISO 13373 Diagnostics: Deterministic classification of mechanical faults (1X Unbalance, 2X Misalignment, Looseness, and BPFO Bearing Defects).
  • 3D ODS Digital Twin: Live Operational Deflection Shape rendering in Three.js showing dynamic mechanical strain.
  • Cryptographic ISO 17025 Audit Reports: Generates tamper-proof PDF audit certificates sealed with SHA-256 verification hashes.

How We Built It

  • Frontend & Agent Interface: Built with Next.js 14, Tailwind CSS, Three.js, Lucide Icons, and deployed on Vercel.
  • WebMCP Architecture: Registered browser-native tool contracts adhering to the W3C WebMCP schema with real-time JSON-RPC command execution.
  • Physics & CV Rig Backend: High-speed FastAPI computational server leveraging OpenCV, SciPy, and NumPy for 2D FFT spectral transforms and phase-based bandpass spatial decomposition.

Challenges We Overcame

  • Ensuring low-latency client-side WebMCP tool execution without blocking the 3D ODS canvas rendering pipeline.
  • Standardizing deterministic ISO trip logic so AI agents reliably trigger SIL-3 emergency throttle events only on verifiable Zone D boundary violations.

Accomplishments We're Proud Of

  • Fully functioning bridge connecting browser-native WebMCP agent tool calling directly to industrial machinery diagnostic streams.
  • Cryptographically verifiable, end-to-end predictive maintenance pipeline from video pixels to automated enterprise RFQ dispatch.

What's Next for ChronoPhys WebMCP

  • Multi-agent collaborative fleet monitoring across distributed turbomachinery clusters.
  • Direct hardware PLC integration via WebMCP-to-Modbus TCP edge bridges.

Built With

Share this project:

Updates

Submission history