Obtaining the Perfect Smoke By Monitoring Your BBQ with InfluxDB and Telegraf

1. December 16, 2020 Time Series Virtual Meetup Obtaining the Perfect Smoke By Monitoring Your BBQ with InﬂuxDB and Telegraf

2. 2 Agenda ●Introductions ●Our talk today ●Q&A ●Open Jobs ●Be a speaker

3. 3 Speakers Will Cooke Engineering Manager, Storage Team InﬂuxData Scott Anderson Senior Technical Writer & Technical Lead Docs Team InﬂuxData

4. Method 1: Python + MQTT + Telegraf + InﬂuxDB Cloud 2.0 I can make it at home for nothing… Will Cooke

5. 5 $200

10. 10

11. 11 Free!

12. 12 $120

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16. 16 Free!

17. 17 Do It Yourself is probably not better, but it is a great way to learn.

18. 18 COTS

19. 19 COTSish

20. 20

21. 21 Inkbird IBT-4XS ● 4 probes ● Rechargeable battery ● $40

22. 22 ● Low power ○ Maximum 50% power usage of normal Bluetooth, usually a lot less ● Low speed ○ Theoretical Max 2Mbps, usually a lot less ● Lower range ○ Claims < 100 meters, usually a lot less ○ Simpliﬁed modulation scheme ● Well supported under Linux ● Fairly standard architecture Bluetooth Low Energy

23. 23 Descriptors Getcharacteristics Bluetooth LE device Raspberry Pi Characteristic AuthenticatePSK Getdescriptors Characteristics Characteristic Subscribe&enablerealtime Ihavedataforyou Readdada Senddata Subscribe&enablerealtime

24. 24 Python code CREDENTIALS_MESSAGE = bytearray.fromhex("21 07 06 05 04 03 02 01 b8 22 00 00 00 00 00") REALTIME_DATA_ENABLE = bytearray.fromhex("0B 01 00 00 00 00") UNITS_FAHRENHEIT = bytearray.fromhex("02 01 00 00 00 00") UNITS_CELSIUS = bytearray.fromhex("02 00 00 00 00 00") BATTERY_LEVEL = bytearray.fromhex("08 24 00 00 00 00") # iBBQ static service MAIN_SERVICE = 0xFFF0 # Service which provides the characteristics CCCD_UUID = 0x2902 # iBBQ static characteristics SETTINGS_RESULTS = 0xFFF1 PAIR_UUID = 0xFFF2 HISTORY_UUID = 0xFFF3 # Don't know how this works, here for completeness REALTIMEDATA_UUID = 0xFFF4 CMD_UUID = 0xFFF5 # Static hex little endian ones and zeros ON = bytearray.fromhex("01 00") OFF = bytearray.fromhex("00 00")

25. 25 Transports ● Line Protocol ○ DIY ● InﬂuxDB Client Libraries ○ Clients for most languages ○ Someone has done a lot of the hard work for you ● Telegraf ○ No code option ○ Queuing ○ Pre processing ○ Plugin driven ○ Ready made binaries ○ Already using it

26. 26 MQTT ● Brokers ○ Mosquitto ● Client Libraries ○ Every platform and every language ○ Python - Paho MQTT ● Telegraf ○ No code option ○ Already using it!

27. 27 MQTT ● Message Queuing Telemetry Transport ○ pub/sub model ○ Doesn’t actually queue ● Works well on low powered devices ○ Simple protocol = low CPU & memory footprint ● Hierarchy of topics ○ bbq/temperature/1 ○ bbq/temperature/2 ○ bbq/temperature/3 ○ home/sensors/bathroom ○ home/sensors/# ● Payloads ○ bbq/temperature/1 - 106 ○ home/sensors/bathroom - {“humidity”:65, “temperature”:25, “fan_running”:true}

28. 28 Telegraf ● Python sends MQTT message ○ send_mqtt("bbq/temperature/"+str(idx+1), int(temperature)) ● Telegraf conﬁg [[inputs.mqtt_consumer]] servers = ["tcp://192.168.42.100:1883"] topics = [ "bbq/+/#" ] data_format = "value" data_type = "integer" [[outputs.influxdb_v2]] urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"] token =”YOUR_TOKEN” organization = "wcooke@influxdata.com" bucket = "My Monitoring Bucket"

29. 29

30. 30 The dreaded stall

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32. 32 Features & Future Plans ● https://github.com/8none1/pybq ○ Contributions welcome! ● Currently working: ○ Reporting temperatures ○ Reporting battery levels ○ Automatically connect to thermometer and start logging ● Alerts ○ Send instant messenger alerts when certain thresholds are hit ○ Leverage Inﬂux Cloud 2 tasks and alerts ● Low Power Mode ○ Only poll the temperature every minute? ● More ribs

33. Method 2: FireBoard + Telegraf + InﬂuxDB 2.0 Scott Anderson

34. Fireboard 1

35. Fireboard 2

36. [[outputs.influxdb_v2]] urls = ["$INFLUX_HOST"] token = "$INFLUX_TOKEN" organization = "$INFLUX_ORG" bucket = "fireboard" [[inputs.fireboard]] ## Specify auth token for your account auth_token = "$FIREBOARD_TOKEN"

37. Passive BBQ Monitor & Alert

38. import "influxdata/influxdb/monitor" meatProbes = [2,3] checkData = {...} from(bucket:"fireboard") |> range(start: -15m) |> filter(fn: (r) => r._measurement == "fireboard" and contains(set: meatProbes, value: int(v: r.channel))) |> difference(nonNegative: false) |> aggregateWindow(every: 5m, fn: mean) |> fill(usePrevious: true) |> map(fn: (r) => ({ r with status: if r._value <= 0.0 then "cooling" else if r._value <= 0.02 then "stalling" else "cooking" })) |> monitor.check( crit: (r) => r.status == "cooling", warn: (r) => r.status == "stalling", ok: (r) => r.status <= "cooking", messageFn: (r) => "Probe${r.channel} appears to be ${r.status}", data: checkData )

42. Comparative Analysis

43. import "experimental" session1 = from(bucket: "fireboard") |> range(start: 2020-07-22T23:34:10Z, stop: 2020-07-24T14:50:00Z) |> filter(fn: (r) => r["_measurement"] == "fireboard") session2 = from(bucket: "fireboard") |> range(start: 2020-04-11T21:36:10Z, stop: 2020-04-12T20:22:00Z) |> filter(fn: (r) => r["_measurement"] == "fireboard") union(tables: [session1, session2]) |> experimental.alignTime()

44. 54 Other things on my punch list ● Forecasting ○ Estimate remaining cook time ● Enhanced visualizations ○ Status-determined visualization color schemes ● More notiﬁcations ○ “Done” alert ○ “Cooling” alert

45. 58 Fireboard InfluxDB Template github.com/influxdata/community-templates/tree/master/fireboard

46. 59 Fireboard InﬂuxDB Template

47. 60 NEXT MEETUP - January 6, 2021 Monitor Your Homebrew Using InﬂuxDB Cloud, Telegraf and Raspberry Pi https://bit.ly/3lUYJrS Thanks for coming!