Python scripts collects information about energy and temperature to a Prometheus client, which is forwarded to a prometheus server and Grafana for visualisation and monitoring. The exampe is based on the TPLink HS110 smartplug. This alows for a cost-effective measurement of power usage and temperature monitoring for computers.
The script is based on trying a similar monitoring application based on an INA219 monitoring interface in combination with a Raspberry Pi.
The following python libraries need to be installed:
- python 2.7: the scripts are based on python 2.7
- lm-sensors: a package to allow use of computer sensors
$ sudo apt-get install lm-sensors # Run the mkdev.sh script in the lm-sensors source.
$ sensors-detect # answer questions $ sensors acpitz-virtual-0 Adapter: Virtual device temp1: +54.0°C (crit = +103.0°C) coretemp-isa-0000 Adapter: ISA adapter Physical id 0: +55.0°C (high = +84.0°C, crit = +100.0°C) Core 0: +54.0°C (high = +84.0°C, crit = +100.0°C) Core 1: +53.0°C (high = +84.0°C, crit = +100.0°C) Core 2: +54.0°C (high = +84.0°C, crit = +100.0°C) Core 3: +52.0°C (high = +84.0°C, crit = +100.0°C) asus-isa-0000 Adapter: ISA adapter cpu_fan: 1800 RPM temp1: +54.0°C
Configure the HS110 client wireless interface. In Ubunto this can be done using Hidden Wi-Fi network and adding a hotspot. Using netdiscover the network address can be identified.
Depending on the Linux networking configuration the MAC address should be coupled with a fixed ip-adresss. Using the NetworkManager under ubuntu addresses will be generated. The configuration taking into account mac-addresses for the smartplug is ill-defined and requires experimenting.
Prometheus can be installed in Ubuntu ia the following command:
sudo apt-get install prometheus
To ensure that the daemons are started at boot the following is required:
sudo systemctl enable prometheus sudo service prometheus restart
The prometheus.yml needs to be updated to include the data provided by the metric.py script.
scrape_configs:
- job_name: 'laptop'
static_configs:
- targets: ['localhost:9100']
- job_name: 'energy'
static_configs:
- targets: ['localhost:8000']
Grafana can be installed via:
sudo apt install grafana
The startup daemon needs to be started at boot.
sudo systemctl enable prometheus sudo service prometheus restart
##3. Operations
Using metric.py the server is started which makes the power and temperature available.
./metric.py -h
usage: metric.py [-h] -t (-c | -j )
TP-Link Wi-Fi Smart Plug Client v0.2
optional arguments:
-h, --help show this help message and exit
-t , --target
Target hostname or IP address
-c , --command
Preset command to send. Choices are: reset, schedule,
antitheft, wlanscan, info, on, off, reboot, countdown,
time, cloudinfo, energy
-j , --json
Full JSON string of command to send
In Grafana the datasources should include prometheus data. The file metric_INA219.py has been developed for the Raspberry Pi monitoring.
woensdag, 25. juli 2018 12:33