# Shelly Plug (S) Shelly Plugs S are quite cheap but relatively accurate to measure power consumptions less than 2.5 kW. ![Shelly Plug](https://shelly.hr/wp-content/uploads/2020/11/shelly_plug_s_1-1.jpg) ## Flash Tasmota There's an OpenSource project to flash Tasmota on Shelly Plugs: [mg2x](https://github.com/arendst/mgos-to-tasmota) Locate your Shellie's IP adress (in my case: 192.168.2.150) and update it "over the air" with the Tasmota firmware: http://192.168.2.150/ota?url=http://ota.tasmota.com/tasmota/shelly/mg2tasmota-ShellyPlugS.zip Your shelly will return a JSON object that looks like that: ``` { "status": "updating", "has_update": false, "new_version": "20230109-114426/v1.12.2-g32055ee", "old_version": "20230109-114426/v1.12.2-g32055ee" } ``` After a while your Shelly Plug S should be flashed with Tasmota firmware. > Just be patient. This took longer than five minutes in my DSL connected network. The Shelly Plus S will create create a new Wifi. ![Tasmota Wifi](./docs/images/wifi.png) Join that Wifi and configure the device: http://192.164.4.1/ ![Join Wifi](./docs/images/configure-wifi.png) You can configure it as a BlitzWolf SHP product. Then it offers you power measurement and a programmable toogle. ![BlitzWolf](./docs/images/blitzwolf.png) It should be configurable just like our [plant monitor](../plant-monitor/README.md). Just enable MQTT and enter a shorter telemetry period. ![MQTT](./docs/images/mqtt.png) ![Telemetry period](./docs/images/telemetry-period.png) It will post MQTT messages unter a topic `tele/tasmota_891E97/SENSOR` like this one: ``` { "Time": "2023-02-27T16:45:07", "ENERGY": { "TotalStartTime": "2023-02-27T16:33:06", "Total": 0.004, "Yesterday": 0, "Today": 0.004, "Period": 0, "Power": 34, "ApparentPower": 44, "ReactivePower": 27, "Factor": 0.79, "Voltage": 253, "Current": 0.172 } } ``` We now can consume this messages in Node-RED, store them in InfluxDB and build a dashboard in Grafana. ### InfluxDB Bucket 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)