From Code to Community: Sponsoring The Perl and Raku Conference 2025 Learn more

=head1 NAME
Wubot::Guide::ArduinoSensors - monitoring arduino sensor data
=head1 DESCRIPTION
If you are not familiar with wubot, you may want to begin with the
document L<Wubot::Guide::GettingStarted>.
This document describes how to read temperature, humidity, or other
sensor data from an Arduino and feed it into wubot. We are notified
in the event of a significant change in the sensor data or when the
sensor data gets outside of some configured thresholds. The data is
stored in a round-robin database (RRD) and daily, weekly, and monthly
graphs are generated from the data. Custom graphs are also
illustrated. There is also some discussion of monitoring a wireless
sensor network built with XBee.
=head1 Arduino sensor data
I won't discuss the process of wiring up a sensor or programming an
arduino here, as that is already covered in great detail elsewhere.
Here are some sensors I can recommend from personal experience:
Any sensor that will work with the arduino will work fine. wubot
actually reads the sensor data over the serial port, so if the
ardunino can read the data and send it over the serial port, then
wubot can handle it.
The format of the data used here is CSV with four fields:
^source, type, value, units
Here are a few examples.
^office, temp, 75, F
^outside, humidity, 80, percent
^garden, moisture, 60, percent
Note that there is a carrot, '^', here at the beginning of the line to
indicate the beginning of a new record. When an arduino is reset, a bit
of junk often comes through at the beginning. The beginning-of-line
field allows us to filter out any junk at the beginning of the line.
You can really use any format that you want for the data, but the
reactor rules below assume that it will start in this format.
You will probably want to send the sensor information every 1 to 5
minutes. It is not recommended that you send it more often than once
every 15 seconds.
I am still learning arduino programming, but you might be able to find
some useful examples in my farmbot project here:
=head1 SerialPort monitor
By the time you get to this point, you should have the arduino hooked
up to the sensors and should be sending the data over the serial port
in the format:
^source, type, value, units
To get the data into wubot, start by setting up an instance of the
SerialPort monitor to read from your serial port. The config file
would live here:
~/wubot/config/plugins/SerialPort/labduino.yaml
And here is an example:
---
delay: 5s
device: /dev/tty.usbmodem3b11
This will check the configured device every 5 seconds for sensor data.
Each line of data will be put into a wubot message. The 'line' field
will contain the string that was read.
=head1 parsing the message
Now that you have the sensor data coming in, the next step is to parse
it. To do that we need to define some rules. See also
L<Wubot::Guide::Rules>.
Remember that 'beginning-of-record' character I mentioned above? This
rule makes use of that. Start by cleaning everything from the
beginning of the line up until the beginning-of-record character:
- name: clean to beginning of line
plugin: TransformField
config:
source_field: line
regexp_search: '^.*\^'
At this point I find it useful to display the line that was read to
stdout in the terminal running the monitor process:
- name: dump line
plugin: Dumper
config:
field: line
Next, assuming the format above is being used for the data, we can
split the CSV data into the four fields:
- name: split
plugin: Split
config:
source_field: line
target_fields:
- source
- type
- value
- units
Now that the data is split, let's check that we have a valid record,
i.e. all the fields got parsed. Any that don't get routed to the bit
bucket using the 'last_rule' flag.
- name: get rid of invalid fields
condition: source is false OR type is false OR value is false OR units is false
last_rule: 1
This rule is just a bit trickier. Right now we have the data in four
fields. For example:
source: office
type: temp
value: 78.3
units: F
It would really be more convenient at this point to have a
'temp' field on the message that was set to '78.3'. That will
make creating some of the later rules a bit simpler. So here we can
use the CopyField plugin to take the value (78.3) and store it in a
field that is named in the 'type' field (temp). Here is the
rule:
- name: map key and value names
plugin: CopyField
config:
source_field: value
target_field_name: type
And after this rule, the message will contain the new field:
source: office
type: temp
value: 78.3
units: F
temp: 78.3
Since all of this is really simple stuff that just involves shuffling
around some data on the message, we'll do all of this directly in the
monitor config. Here is the resulting config:
---
delay: 5s
device: /dev/tty.usbmodem3b11
react:
- name: lines
condition: line is true
rules:
- name: clean to beginning of line
plugin: TransformField
config:
source_field: line
regexp_search: '^.*\^'
- name: dump line
plugin: Dumper
config:
field: line
- name: split
plugin: Split
config:
source_field: line
target_fields:
- source
- type
- value
- units
- name: get rid of invalid fields
condition: source is false OR type is false OR value is false OR units is false
last_rule: 1
- name: map key and value names
plugin: CopyField
config:
source_field: value
target_field_name: type
=head1 Alerts
Up until this point we've just been focused on getting the data into
the system. Now it's time to set up the reactor config.
Start building a rule tree where the parent rule looks for messages
coming form the serial port that have sensor data.
- name: arduino
condition: key matches SerialPort AND source is true
rules:
We'll start by doing something a bit unusual. We'll create a custom
'key' for this sensor reading. Normally the 'key' message is set to
the name of the plugin and the name of the instance config file. This
is great if you have a separate config file for each feed. But there
is only one serial port and there may be many different sensors. So
we're going to start by creating a custom key that contains the sensor
source and type, e.g. 'office-temp'. This just makes it a lot easier
for later plugins keep track of the office temp and the outside temp
as two separate values. Note that this change to the 'key' field is
permanent! So any later rules in the reactor that look for 'key
matches SerialPort' will not find these messages again!
- name: key
plugin: Template
config:
template: '{$source}-{$type}'
target_field: key
Let's start with a simple warning. If you haven't looked at the
L<Wubot::Guide::Notifications> doc yet, this might be a good time to
take a look. If the temp gets above 85 degrees in the office, then
generate an alert message. There are computers in the office, so if
the temerature starts to get too high, the one of them could overheat.
So let's look for any message that indicates a temperature of greater
than 85 and set a few fields on the message. The 'subject' field will
be used by notification plugins such as Growl and Console. The
'sticky' field is used by Growl to cause the message to stick on the
screen until it is dismissed. The 'color' field can be used to
colorize the notifications. As long as we're in there, we'll set a
'heat_warning' field in case we want to use this in a future reaction.
- name: temp high
condition: temp > 85
plugin: SetField
config:
set:
heat_warning: 1
color: yellow
sticky: 1
subject: warning: temp is high
Thanks to the 'subject' field, we can get a notification that the
temperature is high. But the message will simply say 'warning: temp
is high', it won't actually tell us what the temperature is. For that
we can use the 'Template' plugin, which creates a field using a
template. Any params in the template are filled from other fields on
the message. So here is a heat warning notification that will
actually inclue the temperature sensor reading:
- name: heat warning
condition: heat_warning is true
plugin: Template
config:
target_field: subject
template: warning: temperature is high: {$temp}
Now when the temperature is above 85 degrees in the office, I'll get a
sticky notification telling me the current temperature. Then I'll go
upstairs and open the windows or possibly turn on the fan.
Beyond just tracking when the sensor reading goes outside of a
configured threshold, we also want to track the change in sensor
readings over time. For that there is a 'State' plugin, which caches
the previously seen sensor readings and can send an alert when the
value changes by more than a certain threshold. You can specify that
you want to be notified if the value changes in either directory, or
only if it increases or decreases.
For example, suppose we want to get a notification any time the soil
moisture drops more than 10 percent. The following rule tree would
select messages that have a 'moisture' field, and then use the 'State'
plugin to track the 'moisture' field and send a notification if the
value decreases by more than 10. The 'State' plugin will set a
'subject' on the message that will indicate the current moisture
level, amount of time since the last sensor change, and the highest
value during that time period. It will also set the 'state_changed'
flag on the message. This is pretty important (it usually means the
garden is starting to get dry), so we'll make sure the alert gets the
'sticky' flag so it will stay on the screen and get my attention.
- name: moisture
condition: contains moisture
rules:
- name: moisture drop
plugin: State
config:
field: moisture
decrease: 10
- name: moisture drop sticky
condition: state_changed is true
plugin: SetField
config:
field: sticky
value: 1
We also want to monitor for temperature changes, just to have an idea
about how the temperature is changing. These aren't as important, so
there's no sticky flag here:
- name: temp
condition: contains temp
rules:
- name: temp change
plugin: State
config:
field: temp
change: 5
The State plugin will send a warning if you stop receiving data for
any of the tracked datasets.
=head1 RRD and graphs
It's nice to get alerts when the values change or get outside of safe
thresholds, but we also want to preserve historical data and generate
some graphs. This is where the RRD plugin comes in hand. Here's an
example RRD plugin that will take the 'value' and jam it into an RRD
file and generate a daily, weekly, and monthly graph:
- name: rrd
condition: source is true AND type is true AND value is true AND units is true
plugin: RRD
config:
base_dir: /home/wu/wubot/rrd
fields:
value: GAUGE
step: 60
period:
- day
- week
- month
graph_options:
right-axis: 1:0
width: 375
The RRD file will get written to:
~/wubot/rrd/rrd/{key}
and the graphs will be generated to:
~wubot/rrd/graphs/{key}
=head1 Graphs with multiple sources
Here are some example graphs:
=head1 SQLite
Perhaps you have some other ideas for analyzing the sensor data.
Well, just drop it in a SQLite database:
- name: sqlite
condition: value is true
plugin: SQLite
config:
file: /home/wu/wubot/sqlite/arduino.sql
tablename: sensors
schema:
id: INTEGER PRIMARY KEY AUTOINCREMENT
source: int
type: int
value: int
units: int
lastupdate: int
=head1 XBee and wireless sensor networks