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ZeqFusion — Sensor Fusion

Device sync, SCADA, metering, fault detection.

  • Protocol ID — zeq-sensor-fusion
  • Category — IoT
  • Endpoint — POST /api/iot/fusion
  • Auth — api-key
  • Rate limit — 30/min
  • Version — 1.0
  • Precision — ≤0.1% (KO42-enforced)

What it does​

Multi-sensor data fusion using ZeqLattice coherence. Combine readings from diverse sensors — the framework weights them by phase alignment and measurement quality.

Signature​

Request​

POST /api/iot/fusion
ParamTypeRequiredDefaultDescription
sensorsarray✓—Array of { sensorId, type, value, accuracy, zeqond }.

Response​

{ fusedValue, confidence, sensorWeights, coherenceScore, outliers }

Runnable example​

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "sensors": []
}' \
  "https://api.zeq.dev/api/iot/fusion"

Integrate​

  1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
  2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
  3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds​

  • Near — wrap /api/iot/fusion in a language SDK so builders can call it in three lines.
  • Medium — publish a reference integration demonstrating ZeqFusion — Sensor Fusion alongside a real workload, with pulse-aligned metrics.
  • Far — propose ZeqFusion — Sensor Fusion as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers​

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.