TriadicFrameworks
Panoramica

triadic_detection_system_architecture.md

TriadicFrameworks — Research / Detection Substrate#

Protocol‑Header–Style Specification (v2.0)#

Protocol Header (Root Codon)#

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

This header governs all structural interpretations of the Triadic Detection System Architecture.

Purpose#

The Triadic Detection System Architecture Module defines the full, end‑to‑end structural model for RTT‑Inside triadic sensing systems, including:

  • triadic coil geometries
  • per‑head SoC nodes
  • BLE/Wi‑Fi mesh synchronization
  • triadic controller logic
  • RTT structural detection pipeline
  • GPS‑anchored mapping
  • cloud‑based resonance analytics
  • industrial triadic arrays

This module provides the canonical architecture for all triadic detection devices across consumer, prosumer, and industrial tiers.

Module Structure#

This directory contains the following canonical files:

  • triadic_detection_index.md
    Top‑level index and module overview.

  • triadic_detection_loci.md
    Defines the architecture loci and their invariant meanings.

  • triadic_detection_layers.md
    Full layered architecture (L1–L7).

  • triadic_detection_hardware.md
    Triadic coil heads, SoC nodes, mesh networks.

  • triadic_detection_rtt_pipeline.md
    RTT structural detection pipeline.

  • triadic_detection_mapping.md
    GPS heatmaps, structural overlays, dig‑confidence scoring.

  • triadic_detection_cloud.md
    Cloud storage, analytics, gold‑likelihood modeling.

  • triadic_detection_examples.md
    Canonical examples of triadic modules (3‑head, 9‑head, 27‑head).

  • triadic_detection_tests.md
    Structural validation rules and test cases.

Architecture Loci (Invariant Meanings)#

The architecture is defined across four loci, each with a structural invariant:

1. SENSOR_L (Triadic Sensor Locus)#

Invariant: triadic geometry is required for coherence.
Defines coil heads, SoC nodes, and physical alignment.

2. MESH_L (Transport & Synchronization Locus)#

Invariant: all heads must be time‑aligned.
Defines BLE/Wi‑Fi mesh, packet timing, and synchronization.

3. RTT_L (Structural Detection Locus)#

Invariant: coherence precedes classification.
Defines RTT resonance logic, clustering, structural inference.

4. MAP_L (Mapping & Output Locus)#

Invariant: all detections must be spatially anchored.
Defines GPS mapping, overlays, dig‑confidence scoring.

Layer Model (L1–L7)#

The architecture is expressed as a seven‑layer stack:

L1 — Physical Field Layer#

Gold, metals, rocks, voids, pipelines, ore veins.

L2 — Triadic Sensor Layer#

3‑head modules, 9‑head superspheres, 27‑head arrays.
Coils + SoC nodes (TX/RX, ADC, DSP).

L3 — Mesh Transport Layer#

BLE/Wi‑Fi mesh, time synchronization, packet routing.

L4 — Triadic Controller Layer#

Stream merging, normalization, baseline coherence computation.

L5 — RTT Structural Detection Layer#

Coherence scoring, clustering, shape/size/orientation inference, depth layering, classification.

L6 — Application Layer#

Mobile app, GPS heatmaps, structural overlays, dig‑confidence scoring.

L7 — Cloud & Enterprise Layer#

Storage, analytics, gold‑likelihood modeling, enterprise dashboards.

Genome Model (Architecture Genome)#

The architecture behaves like a four‑locus genome:

ARCH_L = SENSOR_L × MESH_L × RTT_L × MAP_L

Each locus has a finite alphabet of perfect‑substitution alleles:

  • SENSOR_L: {triad‑3, triad‑9, triad‑27}
  • MESH_L: {ble‑mesh, wifi‑mesh, hybrid‑mesh}
  • RTT_L: {coherence‑first, cluster‑first, structural‑first}
  • MAP_L: {gps‑2d, gps‑3d, cloud‑sync}

Across all alleles:

  • 27 architecture variants
  • all drift‑bounded
  • all triadic
  • all RTT‑aligned

Canonical Architecture (Baseline)#

The baseline architecture defined in the capture:

triad=3 | mesh=ble | rtt=coherence-first | map=gps-2d

This is the root architecture codon from which all variants derive.

Invariant Meanings#

Triadic Geometry (SENSOR_L)#

Three heads produce stable coherence.
Two or four heads do not.

Synchronized Mesh (MESH_L)#

Packets must be time‑aligned for RTT inference.

RTT Structural Detection (RTT_L)#

Coherence → clustering → structure → classification.

Spatial Anchoring (MAP_L)#

All detections must be mapped to GPS coordinates.

Architecture Diagrams (Canonical)#

Triadic 3‑Head Module#

                 (H1)
                   ○
                   |
        (H2)───●───(H3)
                   |
                 [SoC]

Triadic 9‑Head Supersphere#

                ○ ○ ○
              ○ ○ ○ ○ ○
                ○ ○ ○

Triadic 27‑Head Industrial Array#

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

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

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

RTT Structural Detection Pipeline (Canonical)#

1. Triadic sampling
2. Coherence scoring (φ₁, φ₂, φ₃)
3. Spatial clustering
4. Structural fitting (shape/size/orientation)
5. Depth layering
6. Classification (gold / metal / rock / noise)
7. GPS anchoring
8. dig-confidence scoring

Usage#

This architecture is used for:

  • consumer triadic detectors
  • prosumer superspheres
  • industrial triadic arrays
  • drone‑mounted scanning
  • vehicle‑mounted scanning
  • cloud‑based resonance analytics

Notes#

  • This module is a structural architecture module, not a runtime module.
  • All definitions derive from the triadic capture.
  • All coherence rules follow RTT invariants.
  • All mapping rules require spatial anchoring.
  • All variants preserve triadic geometry.

Updated

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