941abd98d5
Dynamic MySolem/MyIndygo IoT bridge with MQTT, Home Assistant autodiscovery, and Homebridge EasyMQTT compatibility. - Device discovery via MySolem API on startup (all modules/inputs/outputs) - Configurable poll engine (fast/normal/slow buckets, per-input overrides) - MQTT retained state publishing + HA autodiscovery payloads - Unified manual command routing (linesControl vs sendManualModuleCommand) - Runtime config via MQTT $config/set, persisted to config.json - Expression override system (API-provided > hardcoded > passthrough) - Minimal REST API: /health, /state, /control, /rediscover - Docker deployment (Dockerfile + docker-compose.yml) - 38 unit tests Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1.6 KiB
1.6 KiB
LRMS — Sensor Station (LRMS-0721DC)
Module ID: 60ca42adad69dac1558f7c64
Serial: 7400040721DC0001
Type: lr-ms
Role: Pure sensor station — no outputs, no programs
Inputs
| Input ID | Name | Type | Unit | Interval | Notes |
|---|---|---|---|---|---|
60ca42adad69dac1558f7c66 |
Plumbago | 12 (soil moisture) | % | 60 min | Named sensor |
60ca42adad69dac1558f7c67 |
Pelouse | 12 (soil moisture) | % | 60 min | Named sensor |
60ca42adad69dac1558f7c69 |
(unnamed) | 5 (temperature) | °C | 15 min | Air/soil temp |
Latest readings (2026-06-04)
Plumbago (moisture)
19:42 71.19%
18:42 74.06%
17:42 71.63% ← irrigation spike visible
16:42 44.64%
15:42 41.83%
Pelouse (moisture)
19:42 78.25%
18:42 79.63%
17:42 70.81% ← irrigation spike visible
16:42 58.50%
14:42 56.19%
Temperature (unnamed)
19:42 16.10°C
19:27 16.44°C
18:42 16.66°C
18:12 16.54°C
17:42 16.31°C
Remote state
GET /remote/module/state?moduleId=60ca42adad69dac1558f7c64
- Battery: 78% (batteryVoltage field)
- Last radio contact: 2026-06-04T19:51:50Z
- Relay:
60ca4276ad69dac1558f7c61(LRMB10) relayIsLongPolling: true
Sensor data endpoint
GET /remote/input/getComputedSensorData
?inputId={inputId}
&startDate={iso8601}
&endDate={iso8601}
&ensurePrevTickForContinuity=true
The moisture sensor uses a computed expression to convert raw ADC values to %.
Moisture spikes (>10% jump) correspond to irrigation events — useful to infer watering history even without direct output events.