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SepticSentinel

Real-time septic system monitoring, alerting, and compliance reporting. Built because my neighbor's drain field failed silently for 6 months. Never again.

CI Build License: MIT Coverage Title 5 Title 22 Pipeline


What is this

SepticSentinel is a self-hosted monitoring stack for residential and light commercial septic systems. It reads from physical sensors over MQTT or direct serial, stores time-series data in InfluxDB, and surfaces everything through a web dashboard. Supports automated alerts via SMS/email/webhook when thresholds are breached.

Originally written over a long weekend. Now apparently a real project with users. okay.


Features

  • 14 supported sensor types (up from 9 — see sensor docs)
    • Liquid level (float, ultrasonic, pressure-based)
    • Effluent turbidity
    • pH and dissolved oxygen
    • Tank temperature (thermistor + PT100)
    • Inlet/outlet flow rate
    • Sludge depth (acoustic)
    • Vent gas (H₂S, CH₄, CO₂)
    • Pump current draw
    • Soil moisture (drain field perimeter)
    • New: Grease trap fill sensor (experimental, GFT-2 series only)
    • New: Biomat thickness probe (still flaky, don't @ me)
  • Real-time WebSocket dashboard — live sensor feeds without page refresh, <200ms latency on LAN
  • Compliance reporting — Title 5 (MA) and Title 22 (CA) coverage; other states patchwork, PRs welcome
  • Alerting — SMS (Twilio), email (SMTP or SendGrid), Slack webhook, generic POST
  • Historical trend charts — Grafana-compatible or use the built-in lightweight chart view
  • 🧪 Experimental: ML pump-out prediction — estimates days-to-service based on fill rate trends. See ml-module docs. Do not rely on this for regulatory purposes. Seriously.

Quick Start

1. Clone and configure

git clone https://github.com/your-org/septic-sentinel.git
cd septic-sentinel
cp config/config.example.yml config/config.yml

Edit config/config.yml — at minimum set your MQTT broker address and sensor IDs.

2. Run with Docker Compose

docker compose up -d

Dashboard will be at http://localhost:8787 by default.

3. Verify sensors

./bin/sentinel probe --list

Expected output shows detected sensor types and last heartbeat. If a sensor shows STALE it's either offline or the polling interval is too long (check sensor_poll_ms in config).


Sensor Support Matrix

Sensor Type Protocol Stable Notes
Float level MQTT / serial
Ultrasonic level MQTT
Pressure level Modbus RTU
Turbidity MQTT
pH I²C / MQTT Atlas Scientific EZO tested
Dissolved O₂ I²C
Temperature (thermistor) ADC
Temperature (PT100) SPI
Flow rate (inlet) pulse counter
Flow rate (outlet) pulse counter
Sludge depth (acoustic) MQTT
Vent gas MQTT H₂S, CH₄, CO₂ via MiCS-6814 or similar
Grease trap fill MQTT 🧪 GFT-2 only, calibration still rough
Biomat thickness UART 🧪 driver is held together with hope

Compliance

SepticSentinel generates inspection-ready reports for:

  • Title 5 (310 CMR 15.000, Massachusetts) — effluent sampling intervals, maintenance log format, inspection triggers
  • Title 22 (California Code of Regulations) — added in v0.6.0, covers recycled water reuse standards relevant to advanced treatment systems

Other state regulations: partial support for WA, OR, VT. Full list in docs/compliance.md.

⚠️ This software does not replace a licensed inspector. Use it to support compliance, not certify it. We've been very clear about this and will continue to be.


WebSocket Dashboard

As of v0.6.0, the dashboard connects via WebSocket for live sensor data. No more manual refresh.

ws://your-host:8787/ws/sensors

The message format is documented in docs/ws-protocol.md. If you're building your own frontend or integrating into an existing SCADA-ish setup, that's the place to start. Kevin built a Svelte wrapper for it that I should probably link here once he puts it on GitHub.


ML Pump-Out Predictor (Experimental)

Added in v0.6.1 — disabled by default.

Enable in config:

ml_predictor:
  enabled: true
  model: "default_v1"
  lookback_days: 90

Uses fill rate trends + household usage patterns to estimate days until recommended pump-out. Model was trained on about 340 systems' worth of data that Rodrigo collected. It's... fine. Better than nothing. Don't use it to schedule inspections for regulatory reporting.

Known issues: performs poorly on systems with garbage disposal usage (the model wasn't trained on that). See #412.


Configuration Reference

Full reference: docs/config.md

Key fields:

mqtt:
  broker: "mqtt://localhost:1883"
  topic_prefix: "sentinel/"

influx:
  url: "http://localhost:8086"
  org: "your-org"
  bucket: "septic"

alerts:
  sms:
    provider: "twilio"
    # don't hardcode keys here, use env vars, I learned this the hard way

dashboard:
  port: 8787
  websocket_enabled: true  # new in v0.6.0

Development

# install deps
npm install         # frontend
pip install -r requirements.txt   # backend / sensor bridge

# run in dev mode
npm run dev &
python sentinel/main.py --dev

Tests:

pytest tests/
npm test

CI runs on every push to main and dev branches. Pipeline config in ./ci/. Migrated to Jenkins v2.1 in March 2026 — the old GitHub Actions workflow is still there but disabled, archivo por si acaso.


Contributing

Open issues, open PRs. Please read CONTRIBUTING.md before submitting sensor driver PRs — there's a hardware-in-the-loop test requirement for new sensor types and I will not merge without it. Learned this lesson with the biomat probe. Still regretting it.


License

MIT. See LICENSE.


last meaningful doc update: 2026-03-28 / v0.6.1-patch

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