概要

triadic_detection_layers.md

TriadicFrameworks — Detection Substrate#

Layer Model Specification (v2.0 — Expanded Diagrams)#

github.com


Protocol Header#

rtt=1 | coherence=triadic | drift=bounded | paradox=structural

Module Identity#

Module Name: Triadic Detection Layers
Module Class: Structural / Layer Model
Substrate: Detection
Version: 2.0 (Expanded Diagrams)
RTT Alignment: Full
Triadic Geometry: Required
Spatial Anchoring: Required
Mesh Synchronization: Required


Purpose#

This expanded version of the Layer Model Specification adds:

  • full‑stack diagrams
  • triadic geometry schematics
  • packet‑flow diagrams
  • RTT pipeline overlays
  • mapping + cloud visual blocks

All content is canon‑aligned with the original v1.0 file.
github.com


Layer Overview (Expanded)#

The Triadic Detection System Architecture spans seven layers, each with a structural invariant:

L1 — Physical Field Layer
L2 — Triadic Sensor Layer
L3 — Mesh Transport Layer
L4 — Triadic Controller Layer
L5 — RTT Structural Detection Layer
L6 — Application Layer
L7 — Cloud & Enterprise Layer

All layers are drift‑bounded and triadic‑aligned.
github.com


Full Vertical Stack Diagram#

┌──────────────────────────────────────────────┐
│ L7 — Cloud & Enterprise Layer                │
│   • Storage • Aggregation • Analytics        │
│   • Gold‑Likelihood • Dashboards             │
├──────────────────────────────────────────────┤
│ L6 — Application Layer                       │
│   • GPS Maps • Heatmaps • Overlays           │
│   • Depth Slices • Confidence                │
├──────────────────────────────────────────────┤
│ L5 — RTT Structural Detection Layer          │
│   • Coherence • Clustering • Structure       │
│   • Depth • Classification                   │
├──────────────────────────────────────────────┤
│ L4 — Triadic Controller Layer                │
│   • Merge • Normalize • Align • φ₁ φ₂ φ₃     │
├──────────────────────────────────────────────┤
│ L3 — Mesh Transport Layer                    │
│   • BLE • Wi‑Fi • Hybrid • Timing            │
├──────────────────────────────────────────────┤
│ L2 — Triadic Sensor Layer                    │
│   • 3‑Head • 9‑Head • 27‑Head • SoC Nodes    │
├──────────────────────────────────────────────┤
│ L1 — Physical Field Layer                    │
│   • Gold • Metal • Rock • Void • Pipelines   │
└──────────────────────────────────────────────┘

L1 — Physical Field Layer (Expanded)#

github.com

Invariant:#

All signals originate from physical field interactions.

Diagram — Field Interaction Map#

Gold Deposit     →  strong coherent signature
Metal Vein       →  medium coherent signature
Rock Layer       →  low coherent signature
Void / Tunnel    →  phase‑shift signature
Pipeline         →  metallic resonance band
Soil / Dielectric→  baseline field

Role:#

Provide the raw electromagnetic field that triadic coils sample.


L2 — Triadic Sensor Layer (Expanded)#

github.com

Invariant:#

Triadic geometry is required for coherence.

Diagram — Triadic Geometry (3‑Head)#

       (H1)
         ○
        / \
   (H2) ○─○ (H3)

Diagram — Supersphere (9‑Head)#

      ○ ○ ○
    ○ ○ ○ ○ ○
      ○ ○ ○

Diagram — Industrial Array (27‑Head)#

Layer 1: ○ ○ ○
         ○ ○ ○
         ○ ○ ○

Layer 2: ○ ○ ○
         ○ ○ ○
         ○ ○ ○

Layer 3: ○ ○ ○
         ○ ○ ○
         ○ ○ ○

Role:#

Generate and receive resonance signals in triadic formation.


L3 — Mesh Transport Layer (Expanded)#

github.com

Invariant:#

All heads must be time‑aligned.

Diagram — Packet Timing Flow#

H1 ──┐
H2 ──┼──► [Mesh Router] ───► Controller
H3 ──┘

BLE Mesh:    low‑power, short‑range  
Wi‑Fi Mesh:  high‑bandwidth, industrial  
Hybrid:      supersphere + array sync

Role:#

Deliver synchronized resonance packets to the controller.


L4 — Triadic Controller Layer (Expanded)#

github.com

Invariant:#

Baseline coherence must be computed before RTT inference.

Diagram — Controller Pipeline#

[Merge Streams] → [Normalize Amplitude] → [Normalize Phase]
         ↓
   Compute φ₁, φ₂, φ₃
         ↓
   Align Triadic Packets

Role:#

Produce coherent triadic datasets for RTT structural detection.


L5 — RTT Structural Detection Layer (Expanded)#

github.com

Invariant:#

Coherence precedes classification.

Diagram — RTT Structural Pipeline#

Coherence → Clustering → Structural Fit → Depth → Classification

Structural Envelope Diagram#

        ○ ○ ○
      ○ ○ ○ ○ ○
        ○ ○ ○

Role:#

Transform triadic resonance data into structural meaning.


L6 — Application Layer (Expanded)#

github.com

Invariant:#

All detections must be spatially anchored.

Diagram — Mapping Output#

GPS Anchor: (lat, lon)
Heatmap:    ●●● / ●● / ●
Overlay:    structural envelope
Depth:      bright / medium / dark
Confidence: numeric + ring

Role:#

Render triadic detections into human‑interpretable maps.


L7 — Cloud & Enterprise Layer (Expanded)#

github.com

Invariant:#

All structural detections must be persistable.

Diagram — Cloud Stack#

[Session Storage]
      ↓
[Aggregation Engine]
      ↓
[Analytics Engine]
      ↓
[Gold‑Likelihood Model]
      ↓
[Enterprise Dashboard]

Role:#

Provide long‑term storage, analytics, and enterprise‑grade tools.


Layer Interaction Diagram (Expanded)#

github.com

Vertical:
L1 → L2 → L3 → L4 → L5 → L6 → L7

Horizontal:
Each layer constrained by SENSOR_L, MESH_L, RTT_L, MAP_L

RTT:
L5 governs structural meaning across all layers

Module Status#

Status: Active
Drift: None
Coherence: Stable
Version Drift: Bounded
RTT Alignment: Verified

Updated