Buenas , en estas líneas vamos a conectar nuestro sensor de calidad del aire a nuestro Home Assistant , lo primero crearemos un sensor para saber si esta conectado a nuestra red mediante un sensor ping.
- platform: ping
host: 192.168.1.26
name: ping_luftdaten
count: 5
scan_interval: 300Los datos los podemos extraer de varias formas , una de ellas es mediante el fichero data.json , para ello usaremos la integración local_luftdaten mediante HACS o directamente de la pagina https://github.com/lichtteil/local_luftdaten , también crearemos un sensor para traducir de hectopascales a milibares.
- platform: local_luftdaten
host: 192.168.1.26
name: estacion_luftdaten
monitored_conditions:
- SDS_P1
- SDS_P2
- BME280_temperature
- BME280_humidity
- BME280_pressure
- signal
- platform: template
sensors:
estacion_luftdaten_presion:
friendly_name: 'Presión'
value_template: >
{{(states('sensor.estacion_luftdaten_pressure') | float / 100) | round(1)}}
unit_of_measurement: 'mBar'
Crearemos un par de sensores para que nos indiquen la calidad del aire medido.
- platform: template
sensors:
# Air Quality Index = (PM10 mean over 1 day / 50) * 100
air_quality_pm10:
friendly_name: 'Air Quality PM 10'
value_template: >-
{%if ((states.sensor.home_assistant_pm_10_concentration_mean.state | float) * 2.0) <= 33 %}Muy buena
{% elif ((states.sensor.home_assistant_pm_10_concentration_mean.state | float) * 2.0) <= 66 | float > 33 %}Buena
{% elif ((states.sensor.home_assistant_pm_10_concentration_mean.state | float) * 2.0) <= 99 | float > 66 %}Regular
{% elif ((states.sensor.home_assistant_pm_10_concentration_mean.state | float) * 2.0) <= 149 | float > 99 %}Mala
{% elif ((states.sensor.home_assistant_pm_10_concentration_mean.state | float) * 2.0) <= 200 | float > 149 %}Muy mala
{% elif ((states.sensor.home_assistant_pm_10_concentration_mean.state | float) * 2.0) > 200 %}Peligrosa
{%- endif %}
entity_id: sensor.home_assistant_pm_10_concentration_mean
# Air Quality Index = (PM2.5 mean over 1 day / 25) * 100
air_quality_pm25:
friendly_name: 'Air Quality PM 2.5'
value_template: >-
{%if ((states.sensor.home_assistant_pm_2_5_concentration_mean.state | float) * 4.0) <= 33 %}Muy buena
{% elif ((states.sensor.home_assistant_pm_2_5_concentration_mean.state | float) * 4.0) <= 66 | float > 33 %}Buena
{% elif ((states.sensor.home_assistant_pm_2_5_concentration_mean.state | float) * 4.0) <= 99 | float > 66 %}Regular
{% elif ((states.sensor.home_assistant_pm_2_5_concentration_mean.state | float) * 4.0) <= 149 | float > 99 %}Mala
{% elif ((states.sensor.home_assistant_pm_2_5_concentration_mean.state | float) * 4.0) <= 200 | float > 149 %}Muy mala
{% elif ((states.sensor.home_assistant_pm_2_5_concentration_mean.state | float) * 4.0) > 200 %}Peligrosa
{%- endif %}
entity_id: sensor.home_assistant_pm_2_5_concentration_mean Creamos un sensor que nos indicara la versión del software del sensor
- platform: rest
name: Software Version
entity_namespace: luftdaten
resource: http://192.168.1.26/data.json
method: GET
force_update: true
scan_interval: 600
value_template: '{{ value_json["software_version"] }}' Ya habíamos visto como integrarlo en influxdb , ahora es el momento de poder extraer los datos que previamente vamos guardando en influxdb y trabajar con ellos y realizar las lectura promedio.
- platform: influxdb
username: !secret influxdb_username
password: !secret influxdb_password
entity_namespace: !secret influxdb_database
queries:
- name: PM 10 Concentration
unit_of_measurement: 'µg/m³'
value_template: '{{ value | round(1) }}'
group_function: last
database: !secret influxdb_database
measurement: feinstaub
field: SDS_P1
where: 'time > now() - 1h'
- name: PM 10 Concentration Mean
unit_of_measurement: 'µg/m³'
value_template: '{{ value | round(1) }}'
group_function: mean
database: !secret influxdb_database
measurement: feinstaub
field: SDS_P1
where: 'time > now() - 24h'
- name: PM 2.5 Concentration
unit_of_measurement: 'µg/m³'
value_template: '{{ value | round(1) }}'
group_function: last
database: !secret influxdb_database
measurement: feinstaub
field: SDS_P2
where: 'time > now() - 1h'
- name: PM 2.5 Concentration Mean
unit_of_measurement: 'µg/m³'
value_template: '{{ value | round(1) }}'
group_function: mean
database: !secret influxdb_database
measurement: feinstaub
field: SDS_P2
where: 'time > now() - 24h'
- name: Outside Temperature
unit_of_measurement: '°C'
value_template: '{{ value | round(1) }}'
group_function: last
database: !secret influxdb_database
measurement: feinstaub
field: BME280_temperature
where: 'time > now() - 1h'
- name: Outside Humidity
unit_of_measurement: '%'
value_template: '{{ value | round(1) }}'
group_function: last
database: !secret influxdb_database
measurement: feinstaub
field: BME280_humidity
where: 'time > now() - 1h'
- name: Outside Pressure
unit_of_measurement: 'mBar'
value_template: '{{ value | round(1) }}'
group_function: last
database: !secret influxdb_database
measurement: feinstaub
field: BME280_pressure
where: 'time > now() - 1h'
Le damos los valores en customize.yaml
sensor.estacion_luftdaten_pm2_5:
friendly_name: Particulas < 2,5 micras
icon: mdi:cloud-outline
unit_of_measurement: 'µg/m³'
sensor.home_assistant_pm_2_5_concentration_mean:
friendly_name: Promedio particulas < 2,5 micras
icon: mdi:cloud-outline
unit_of_measurement: 'µg/m³'
sensor.estacion_luftdaten_pm10:
friendly_name: Particulas < 10 micras
icon: mdi:cloud-outline
unit_of_measurement: 'µg/m³'
sensor.home_assistant_pm_10_concentration_mean:
friendly_name: Promedio particulas < 10 micras
icon: mdi:cloud-outline
unit_of_measurement: 'µg/m³'
sensor.estacion_luftdaten_temperature:
friendly_name: Temperatura
sensor.estacion_luftdaten_humidity:
friendly_name: Humedad
sensor.estacion_luftdaten_pressure:
friendly_name: Presión atm.
sensor.estacion_luftdaten_presion:
friendly_name: Presión atm.
icon: mdi:gauge
sensor.air_quality_pm25:
friendly_name: Calidad aire PM 2.5
icon: mdi:alpha-q-circle-outline
sensor.air_quality_pm10:
friendly_name: Calidad aire 10
icon: mdi:alpha-q-circle-outline
sensor.luftdaten_software_version:
friendly_name: Versión software
icon: mdi:animation-outlineYa solo nos queda mostrarlo en nuestro panel
- type: entities
title: Sensor calidad del aire
show_name: true
show_state: false
show_header_toggle: false
columns: 3
entities:
- sensor.estacion_luftdaten_pm2_5
- sensor.home_assistant_pm_2_5_concentration_mean
- sensor.estacion_luftdaten_pm10
- sensor.home_assistant_pm_10_concentration_mean
- sensor.estacion_luftdaten_temperature
- sensor.estacion_luftdaten_humidity
- sensor.estacion_luftdaten_presion
- sensor.air_quality_pm25
- sensor.air_quality_pm10
- sensor.luftdaten_software_version Crearemos un par de automatizaciones para que nos indique los cambios a través de Telegram
- id: air_quality_pm10_changed
alias: "Air Quality PM10 Changed"
trigger:
- platform: state
entity_id: sensor.air_quality_pm10
action:
- service: notify.notif_telegram_bot
data_template:
message: "\U00002601\U00002601 Calidad del aire PM10 ha cambiado a : *{{ trigger.to_state.state }} (era : *{{ trigger.from_state.state }}*) . Calidad del aire PM2.5 es :*{{ states.binary_sensor.air_quality_pm25.state }}* \U00002601\U00002601"
- id: air_quality_pm25_changed
alias: "Air Quality PM2.5 Changed"
trigger:
- platform: state
entity_id: sensor.air_quality_pm25
action:
- service: notify.notif_telegram_bot
data_template:
message: "\U00002601\U00002601 Calidad del aire PM2.5 ha cambiado a : *{{ trigger.to_state.state }} (era : *{{ trigger.from_state.state }}*) . Calidad del aire PM10 es :*{{ states.binary_sensor.air_quality_pm10.state }}* \U00002601\U00002601"