35 lines
1.5 KiB
Markdown
35 lines
1.5 KiB
Markdown
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# CoreSync Examples
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## FROST + Influx + Grafana
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Import `frost-influx-grafana.flow.json` into Node-RED when the local Docker stack is running.
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The flow demonstrates:
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- a `measurement` node producing a 1 Hz directional flow signal;
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- a `rotatingMachine` node producing event-driven pump telemetry;
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- raw EVOLV telemetry written to local InfluxDB;
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- CoreSync reducing the same telemetry to knots;
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- CoreSync FROST HTTP requests sent to `https://sta.wbd-rd.nl/FROST-Server/v1.1`;
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- FROST responses looped back into CoreSync as `msg.topic = "frost.response"`;
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- CoreSync knots also written to local InfluxDB as `coresync_knots` for Grafana comparison.
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- a Node-RED dashboard page with live raw-field, knot, FROST observation, and percent-saved counters.
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Do not store FROST credentials in the flow. Start Node-RED with:
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```sh
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FROST_USER=write FROST_PASSWORD='<password>' docker compose up -d --build
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```
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The local InfluxDB and Grafana settings match `docker-compose.yml`:
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- InfluxDB: `http://localhost:8086`, org `evolv`, bucket `telemetry`, token `evolv-dev-token`
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- Grafana: `http://localhost:3000`, user `admin`, password `evolv`
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The provisioned Grafana dashboard `CoreSync FROST Demo` compares raw telemetry against the reduced knot stream. The raw samples are intentionally denser than the knot series; the knot series is the data that should be sent to FROST.
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Runtime dashboards:
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- Node-RED live counters: `http://localhost:1880/dashboard/coresync-frost`
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- Grafana raw-vs-knot comparison: `http://localhost:3000/d/coresync-frost-demo/coresync-frost-demo`
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