iot-backend/docs/shelly/README.md

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# Shelly Plug (S)
Shelly Plugs S are quite cheap but relatively accurate to measure power consumptions less than 2.5 kW.
In our [smart-energy-montior](https://code.curious.bio/curious.bio/smart-energy-monitor) project we already have set up a Shelly using Tasmota, on Open Source alternative firmware, that also runs on various other consumer off the shelf devices.
## InfluxDB Bucket
In Influx I created a bucket called `shelly`in InfluxDB, so we can store the messages in this bucket.
### Node-RED
I create a usual flow in Node-RED. A MQTT node fetches the values.
![Node-RED](./docs/images/node-red.png)
The message is fed into a filter function to only store usefull information:
```
return {
payload: {
power: Number(msg.payload.ENERGY.Power),
voltage: Number(msg.payload.ENERGY.Voltage),
current: Number(msg.payload.ENERGY.Current)
}
};
````
The `payload` will be stored in InfluxDB in the bucket "shelly".
### InfluxDB Data Explorer
In Influx DB Data Explorer you can query the stored data.
![Data Explorer](./docs/images/data-explorer.png)
The query created by Data Explorer looks like that:
```
from(bucket: "shelly")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "msg")
|> filter(fn: (r) => r["_field"] == "power" or r["_field"] == "voltage" or r["_field"] == "current")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> yield(name: "mean")
```
### Grafana
Using this query you can crate a dashboard in Grafana.
![Grafana](./docs/images/grafana.png)