---
title: "Home Assistant | ESPhome: ESP8266 NodeMCU v3 + Bosch BME280 + SPS30"
url: "https://forum.qnap.net.pl/threads/home-assistant-esphome-esp8266-nodemcu-v3-bosch-bme280-sps30.40506/"
thread_id: 40506
date: "2023-05-22"
category: "FAQ"
section: "Smart Home: Home Assistant, Zigbee, IoT"
source: "Forum QNAP Polska"
site: "https://forum.qnap.net.pl"
language: "pl"
ai_policy: "https://forum.qnap.net.pl/ai-policy.md"
license: "https://forum.qnap.net.pl/ai-policy.md"
---

# Home Assistant | ESPhome: ESP8266 NodeMCU v3 + Bosch BME280 + SPS30

> Source: <https://forum.qnap.net.pl/threads/home-assistant-esphome-esp8266-nodemcu-v3-bosch-bme280-sps30.40506/> · FAQ · Forum QNAP Polska · 2023-05-22

Wybrane odczyty
Pełne odczyty z obydwu czujników

![](https://forum.qnap.net.pl/attachments/42877/)
![](https://forum.qnap.net.pl/attachments/42878/)
![](https://forum.qnap.net.pl/attachments/42879/)

![](https://forum.qnap.net.pl/attachments/42880/)
Czujnik BME280:

I2C Wiring
ESP NodeMCU Pinout

SCL
D1

SDA
D2

VIN
3V

GND
G

![](https://forum.qnap.net.pl/attachments/42881/)
SPS30:

I2C Wiring
ESP NodeMCU Pinout

5V
VIN

SCL
D1

SDA
D2

GND
G

SEL
G

Uwaga:
Połączenie magistrali I2C z czujnika SPS30 i czujnika BME280, czyli SDA i SCL przychodzi do tego samego pinu na ESP8266 kolejno D1 i D2

Kod dla ESPhome

```
esphome:

  name: bme280-sps30
  friendly_name: BME280-SPS30
esp8266:
  board: nodemcuv2
# Enable logging
logger:
# Enable Home Assistant API
api:
  encryption:
    key: "cgj0jOsPfqjzdZyouseaPlUytt/hKep8ZswWVxYETBs="
ota:
  password: "3af9681f0aea9a701ff2a978070aefd3"
wifi:
  ssid: "MY_WIFI_NETWORK_SSID"
  password: "12345678"
  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "Esphome-Web-BME280"
    password: "12345678"
captive_portal:

i2c:
   id: bus_a
   sda: D2
   scl: D1
   scan: True

sensor:
  - platform: bme280
    i2c_id: bus_a
    temperature:
      name: "Temperature"
      id: bme280_temperature
      oversampling: 16x
    pressure:
      name: "Pressure"
      id: bme280_pressure
    humidity:
      name: "Humidity"
      id: bme280_humidity
    address: 0x76
    update_interval: 15s
  - platform: template
    name: "Altitude"
    lambda: |-
      const float STANDARD_SEA_LEVEL_PRESSURE = 1013.25; //in hPa, see note
      return ((id(bme280_temperature).state + 273.15) / 0.0065) *
        (powf((STANDARD_SEA_LEVEL_PRESSURE / id(bme280_pressure).state), 0.190234) - 1); // in meter
    update_interval: 15s
    icon: 'mdi:signal'
    unit_of_measurement: 'm'
  - platform: absolute_humidity
    name: "Absolute Humidity"
    temperature: bme280_temperature
    humidity: bme280_humidity
  - platform: template
    name: "Dew Point"
    lambda: |-
      return (243.5*(log(id(bme280_humidity).state/100)+((17.67*id(bme280_temperature).state)/
      (243.5+id(bme280_temperature).state)))/(17.67-log(id(bme280_humidity).state/100)-
      ((17.67*id(bme280_temperature).state)/(243.5+id(bme280_temperature).state))));
    unit_of_measurement: °C
    icon: 'mdi:thermometer-alert'
  - platform: template
    name: "Equivalent sea level pressure"
    lambda: |-
      const float STANDARD_ALTITUDE = 0.6; // in meters, see note
      return id(bme280_pressure).state / powf(1 - ((0.0065 * STANDARD_ALTITUDE) /
        (id(bme280_temperature).state + (0.0065 * STANDARD_ALTITUDE) + 273.15)), 5.257); // in hPa
    update_interval: 15s
    unit_of_measurement: 'hPa'
  - platform: sps30
    i2c_id: bus_a
    pm_1_0:
      name: "PM <1µm Weight concentration"
      id: "SPS30_PM_1_0"
      accuracy_decimals: 2
    pm_2_5:
      name: "PM <2.5µm Weight concentration"
      id: "SPS30_PM_2_5"
      accuracy_decimals: 2
    pm_4_0:
      name: "PM <4µm Weight concentration"
      id: "SPS30_PM_4_0"
      accuracy_decimals: 2
    pm_10_0:
      name: "PM <10µm Weight concentration"
      id: "SPS30_PM_10_0"
      accuracy_decimals: 2
    pmc_0_5:
      name: "PM <0.5µm Number concentration"
      id: "SPS30_PMC_0_5"
      accuracy_decimals: 2
    pmc_1_0:
      name: "PM <1µm Number concentration"
      id: "SPS30_PMC_1_0"
      accuracy_decimals: 2
    pmc_2_5:
      name: "PM <2.5µm Number concentration"
      id: "SPS30_PMC_2_5"
      accuracy_decimals: 2
    pmc_4_0:
      name: "PM <4µm Number concentration"
      id: "SPS30_PMC_4_0"
      accuracy_decimals: 2
    pmc_10_0:
      name: "PM <10µm Number concentration"
      id: "SPS30_PMC_10_0"
      accuracy_decimals: 2
    address: 0x69
    update_interval: 10s
  - platform: template
    name: "PM 2.5 24h average"
    id: pm_2_5_avg
    icon: mdi:chemical-weapon
    unit_of_measurement: µg/m³
    lambda: |-
      return id(SPS30_PM_2_5).state;
    update_interval: 60s
    filters:
      - sliding_window_moving_average:
          window_size: 1440 # = 24 hours x 60 minutes
          send_every: 1
    on_value:
      then:
        - script.execute: update_aqi
  - platform: template
    name: "PM 10 24h average"
    id: pm_10_avg
    icon: mdi:chemical-weapon
    unit_of_measurement: µg/m³
    lambda: |-
      return id(SPS30_PM_10_0).state;
    update_interval: 60s
    filters:
      - sliding_window_moving_average:
          window_size: 1440 # = 24 hours x 60 minutes
          send_every: 1
    on_value:
      then:
        - script.execute: update_aqi
# This is a "helper" template sensor which is doing 30 sec moving average of PM2.5
# I use it for sensing in automations controlling purifiers (with Home Assistant),
# in order to remove the outlier values and making the control more smooth
  - platform: template
    name: "PM2.5 median"
    id: pm2_5_median
    icon: mdi:chemical-weapon
    unit_of_measurement: µg/m³
    lambda: |-
      return id(SPS30_PM_2_5).state;
    update_interval: 1s
    filters:
      - median:
          window_size: 30
          send_every: 30
          send_first_at: 15
  - platform: uptime
    id: uptime_sec

text_sensor:
  - platform: template
    name: "Uptime"
    lambda: |-
      int seconds = (id(uptime_sec).state);
      int days = seconds / (24 * 3600);
      seconds = seconds % (24 * 3600);
      int hours = seconds / 3600;
      seconds = seconds % 3600;
      int minutes = seconds /  60;
      seconds = seconds % 60;
      return { (String(days) +"d " + String(hours) +"h " + String(minutes) +"m "+ String(seconds) +"s").c_str() };
    icon: mdi:clock-start
    update_interval: 30s
  - platform: template
    name: "Air Quality Index"
    id: aqi
    icon: mdi:air-filter
# This script is called on every update of the relevant sensor values.
script:
  - id: update_aqi
    mode: restart
    then:
      # Bad if at least one of the sensor values is bad
      - if:
          condition:
            or:
              - sensor.in_range:
                  id: pm_2_5_avg
                  above: 25
              - sensor.in_range:
                  id: pm_10_avg
                  above: 50
          then:
            - text_sensor.template.publish:
                id: aqi
                state: "Zła jakość powietrza"
          else:
            # Acceptable if at least one of the sensor values is acceptable
            - if:
                condition:
                  or:
                    - sensor.in_range:
                        id: pm_2_5_avg
                        above: 12
                    - sensor.in_range:
                        id: pm_10_avg
                        above: 25
                then:
                  - text_sensor.template.publish:
                      id: aqi
                      state: "Akceptowalna jakość powietrza"
                else:
                  # Otherwise good (all of the sensor values are good)
                  - text_sensor.template.publish:
                      id: aqi
                      state: "Dobra jakość powietrza"
```

---

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