triadic_detection_operator_map.md
TriadicFrameworks — Detection Substrate#
Operator Grammar Mapping (v1.0)#
Protocol Header#
rtt=1 | coherence=triadic | drift=bounded | paradox=structural
This header governs all operator‑grammar interpretations in this module.
Purpose#
This document defines the operator grammar for the Triadic Detection System Architecture, mapping:
- loci → operators
- layers → operators
- RTT pipeline → operators
- structural invariants → operators
- mapping/cloud subsystems → operators
It provides a single canonical operator map for all detection modules.
Operator Grammar Overview#
Triadic Detection uses four operator classes:
- Geometry Operators (G‑ops)
- Synchronization Operators (S‑ops)
- RTT Structural Operators (R‑ops)
- Mapping/Cloud Operators (M‑ops)
Each operator is drift‑bounded and triadic‑aligned.
1. Geometry Operators (G‑ops)#
SENSOR_L operators#
| Operator | Meaning | Source |
|---|---|---|
G.triad3 |
3‑head triadic geometry | SENSOR_L |
G.triad9 |
supersphere geometry | SENSOR_L |
G.triad27 |
industrial array geometry | SENSOR_L |
G.baselines |
compute 3 baselines | geometry invariant |
G.align |
verify coil alignment | hardware |
Grammar#
G ::= G.triad3 | G.triad9 | G.triad27 | G.baselines | G.align
2. Synchronization Operators (S‑ops)#
MESH_L operators#
| Operator | Meaning | Source |
|---|---|---|
S.meshBLE |
BLE mesh sync | MESH_L |
S.meshWiFi |
Wi‑Fi mesh sync | MESH_L |
S.meshHybrid |
hybrid mesh sync | MESH_L |
S.timestamp |
per‑packet timestamp | SoC |
S.merge |
triadic merge ordering | controller |
Grammar#
S ::= S.meshBLE | S.meshWiFi | S.meshHybrid | S.timestamp | S.merge
3. RTT Structural Operators (R‑ops)#
RTT_L operators#
| Operator | Meaning | Source |
|---|---|---|
R.coherence |
compute coherence vector | RTT_L |
R.cluster |
spatial clustering | RTT pipeline |
R.structfit |
structural envelope fitting | RTT pipeline |
R.depth |
depth layering | RTT pipeline |
R.classify |
resonance classification | RTT pipeline |
Grammar#
R ::= R.coherence | R.cluster | R.structfit | R.depth | R.classify
4. Mapping & Cloud Operators (M‑ops)#
MAP_L operators#
| Operator | Meaning | Source |
|---|---|---|
M.gps |
GPS anchoring | MAP_L |
M.heatmap |
coherence heatmap | mapping |
M.overlay |
structural overlay | mapping |
M.confidence |
dig‑confidence scoring | mapping |
M.session |
session management | mapping |
M.cloud |
cloud sync | cloud |
M.aggregate |
multi‑session aggregation | cloud |
M.analytics |
resonance analytics | cloud |
M.goldmodel |
gold‑likelihood modeling | cloud |
Grammar#
M ::= M.gps | M.heatmap | M.overlay | M.confidence |
M.session | M.cloud | M.aggregate | M.analytics | M.goldmodel
5. Full Operator Grammar#
Canonical Grammar#
Operator ::= G | S | R | M
Expanded#
Operator ::=
G.triad3 | G.triad9 | G.triad27 | G.baselines | G.align |
S.meshBLE | S.meshWiFi | S.meshHybrid | S.timestamp | S.merge |
R.coherence | R.cluster | R.structfit | R.depth | R.classify |
M.gps | M.heatmap | M.overlay | M.confidence |
M.session | M.cloud | M.aggregate | M.analytics | M.goldmodel
6. Operator Flow (Canonical)#
End‑to‑End Triadic Detection Operator Flow#
G.triad3
→ S.timestamp
→ S.merge
→ R.coherence
→ R.cluster
→ R.structfit
→ R.depth
→ R.classify
→ M.gps
→ M.overlay
→ M.confidence
→ M.cloud
→ M.analytics
→ M.goldmodel
This is the canonical operator chain for RTT‑Inside triadic detection.
7. Operator Map Diagram#
[G] Geometry Operators
triad3, triad9, triad27, baselines, align
↓
[S] Synchronization Operators
meshBLE, meshWiFi, meshHybrid, timestamp, merge
↓
[R] RTT Structural Operators
coherence, cluster, structfit, depth, classify
↓
[M] Mapping & Cloud Operators
gps, heatmap, overlay, confidence,
session, cloud, aggregate, analytics, goldmodel
Module Status#
Status: Active
Coherence: Stable
Drift: None
RTT Alignment: Verified
Version: 2.0
