bassicrob commented 4 years ago

I see that you are actively working on this integration as well. I used your yaml as a basis and made some improvements of my own. It, like yours, is still a work in progress, but I do have the anemometer working. I am working to reduce the readings and "average" the headings to account for the vane swinging wildly.

I also changed my units to imperial ;) I am also using a BME280 over 15' of CAT5 cable successfully on i2c inside the monitoring unit on the mast with a status LED.

An issue I discovered was although the total rain integration works, the my_rain sensor only measures upon the bucket tip then goes back to '0' between tips.

i2c:
  frequency: 100kHz #try for longer distance

sensor:
  - platform: pulse_counter
    pin: 
      # pin D5
      number: GPIO14
      mode: INPUT_PULLUP
    unit_of_measurement: 'mph' ##change to m/s if metric
    name: 'Wind sensor'
    icon: 'mdi:weather-windy'
    id: my_wind
    count_mode:
      rising_edge: DISABLE
      falling_edge: INCREMENT
    internal_filter: 50us
    update_interval: 60s 
    #rotations_per_sec = pulses/2/60
    #circ_m=0.09*2*3.14 = 0.5652
    #mps = 1.18*circ_m*rotations_per_sec  
    #mps = 1.18*0.5652/2/60 =0,0055578
    filters:
      # - multiply: 0.0055578 #use for m/s
      # - multiply: 2.237 #m/s to mph
      - sliding_window_moving_average:
          window_size: 4
          send_every: 1
      - multiply: 0.04973 #1.492mph switch to close 1/sec per spec, pulse/sec (/60/2)*1.492
      # - multiply: 0.0124327986 #m/s * mph conversion

  # - platform: template
  #   id: wind_mph
  #   name: 'Wind Speed'
  #   icon: 'mdi:weather-windy'
  #   filters:
  #     - lambda: return (id(my_wind).raw_state) * 2.237;

  # - platform: template
  #   id: wind_knots
  #   unit_of_measurement: 'knots'
  #   name: "Wind Speed Knots"
  #   lambda: return id(my_wind).state * 0.0055578 * 1.94384449

  - platform: pulse_counter
    pin: 
      # pin D6
      number: GPIO12
      mode: INPUT_PULLUP
    unit_of_measurement: 'in' ##change to mm if metric
    name: 'Rain gauge'
    icon: 'mdi:weather-rainy'
    id: my_rain
    internal: true
    count_mode:
      rising_edge: DISABLE
      falling_edge: INCREMENT
    internal_filter: 50us
    update_interval: 60s
    #buckets = pulses
    #mm_per_bucket=0.2794
    #rain = buckets*0.2794
    filters:
  #    - multiply: 0.2794 #for mm
      - multiply: 0.011 # to inches
    accuracy_decimals: 3

  - platform: integration
    name: "Rainfall per min"
    id: rain_per_min
    time_unit: min
    unit_of_measurement: 'in'
    sensor: my_rain

  - platform: total_daily_energy
    name: "Total Daily Rain"
    power_id: my_rain
    unit_of_measurement: 'in' ###change to mm if metric
    icon: 'mdi:weather-rainy'
    # x60 To convert to aggregated rain amount
    filters:
      - multiply: 60

# COMPLETE FOR WEATHER    
  - platform: bme280
    temperature:
      name: "WxSta Temperature"
      id: bme280_temperature
      oversampling: 1x

    pressure:
      name: "WxSta Pressure"
      id: bme280_pressure
      oversampling: 1x

    humidity:
      name: "WxSta Relative Humidity"
      id: bme280_humidity
      oversampling: 1x
    address: 0x76
    update_interval: 60s

### ADD WIND DIRECTION
  - platform: adc
    id: adc_sensor
    pin: A0
    name: ADC
    internal: true
    update_interval: 30s
    filters:
      # - multiply: 3.3 ##built into Wemos
      # - multiply: 0.0009775171   #1/1023
    accuracy_decimals: 3 ##IMPORTANT to get resolution for resistance sensor!

  - platform: resistance
    sensor: adc_sensor
    id: resistance_sensor
    configuration: DOWNSTREAM
    resistor: 10kOhm
    internal: true
    name: Resistance Sensor
    accuracy_decimals: 1
    filters:
      - heartbeat: 30s
    on_value:
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 3100
              below: 3200
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "N"
            - sensor.template.publish:
                id: wind_heading
                state: 0.0

      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 1600
              below: 1700
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "NE"         
            - sensor.template.publish:
                id: wind_heading
                state: 45.0            
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 250
              below: 350
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "E"                
            - sensor.template.publish:
                id: wind_heading
                state: 90.0          
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 550
              below: 650
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "SE"    
            - sensor.template.publish:
                id: wind_heading
                state: 135.0             
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 900
              below: 1100
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "S"    
            - sensor.template.publish:
                id: wind_heading
                state: 180.0            
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 2300
              below: 2450
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "SW"    
            - sensor.template.publish:
                id: wind_heading
                state: 225.0              
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 3900
              below: 4100
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "W"    
            - sensor.template.publish:
                id: wind_heading
                state: 270.0          
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 3500
              below: 3800
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "NW"    
            - sensor.template.publish:
                id: wind_heading
                state: 315.0

  - platform: template
    name: "Wind Heading"
    id: wind_heading
    unit_of_measurement: "°"

### ADD WIND CARIDNAL DIRECTION
### Your values may differ!
# Direction -- Resistance -- ADC Voltage
# N -- 3132Ω -- 0.79v
# NE -- 1643Ω -- 0.47v
# E -- 292Ω -- 0.10v
# SE -- 602Ω -- 0.19v
# S -- 974Ω -- 0.29v
# SW -- 2372Ω -- 0.63v
# W -- 3997Ω -- 0.94v
# NW -- 3657Ω -- 0.88v

  - platform: sun
    name: Sun Elevation
    type: elevation
    update_interval: 120s

  - platform: sun
    name: Sun Azimuth
    type: azimuth
    update_interval: 120s

## ADD Beufort

sun:
  latitude: <insert latitude>
  longitude: <insert longitude>

text_sensor:
  - platform: template
    name: "Wind Cardinal Direction"
    id: wind_dir_card

  - platform: sun
    name: Next Sunrise
    type: sunrise
    update_interval: 4h
  - platform: sun
    name: Next Sunset
    type: sunset
    update_interval: 4h
# light:
#   - platform: binary
#     id: status_light_remote
#     output: status_led_remote

output:
  - platform: gpio
    pin: D7
    id: status_led_remote
interval:
  - interval: 30s
    then:
      - output.turn_on: status_led_remote
      - delay: 150ms
      - output.turn_off: status_led_remote
  - interval: 60s
    then:
      - sensor.integration.reset: rain_per_min   
# Enable time component to reset energy at midnight
time:
  - platform: sntp
    id: my_time

Within Homeassistant, I created a "Average Wind Speed" sampling and record gusts. It worked pretty well for a few recent storms, and data is comparable to local PWS.

configuration.yaml

sensor:
  - platform: statistics
    entity_id: sensor.wind_sensor_2
    max_age:
      minutes: 2
    name: "WX Sta Wind Stats"
    sampling_size: 3

  - platform: statistics
    entity_id: sensor.wind_sensor_2
    max_age:
      minutes: 10
    name: "WX Sta Wind 10m Stats"
    sampling_size: 10

  - platform: statistics
    entity_id: sensor.wind_sensor_2
    max_age:
      minutes: 60
    name: "WX Sta Wind 60m Stats"
    sampling_size: 60

  - platform: template
    sensors:
      wx_sta_wind:
        friendly_name: "3m Avg Wind Speed"
        unit_of_measurement: 'mph'
        value_template: "{{ state_attr('sensor.wx_sta_wind_stats', 'mean') }}"    
      10m_wind_gust:
        friendly_name: "10m Wind Gust"
        unit_of_measurement: 'mph'
        value_template: "{{ state_attr('sensor.wx_sta_wind_10m_stats', 'max_value') }}"
      60m_wind_gust:
        friendly_name: "60m Wind Gust"
        unit_of_measurement: 'mph'
        value_template: "{{ state_attr('sensor.wx_sta_wind_60m_stats', 'max_value') }}"

bassicrob commented 4 years ago

Testing on the bench: 20200324_211133 "Final" Wiring With Keystone panel: 20200404_162320

I just need to finish the connections at the Wemos and put it all in an enclosure.

I combined the rain and wind RJ-11 into a single Cat5 run to the Wemos. Second Cat5 cable is for i2c communication (pair each for 3.3v-Gnd-SDL-SCA). Led is just single-pin out-wire to monitoring unit (ran out of wires!). Fritzing: wx-station_bb

mbo18 commented 4 years ago

Nice work @bassicrob! Do you plan to do a post on Home Assistant forum? Would be nice. I plan to do the same thing but only with Wind (gauge/direction) and rain using a SEN-15901 kit. Using a RJ45 cable is clever! So the ESP is inside your home and sensors are outside? Do you think that it will work with a 15m RJ45 cable?

bassicrob commented 4 years ago

I think I may have just responded to your comment on the HA forum?

The sensors are outside on my garage. I replaced the guts of the transmitter and temperature with a PCB with an LED and i2c BME280. The LED is fed with its own wire, the i2c is run off about 15' of cat5e cable to the inside of my garage where the Wemos lives. The rain, wind, and anemometer are combined from a homemade patch panel where the wires enter into my garage, and then run back to the Wemos with a 25' CAT5 cable (I ran out of cable in the pull-box and had a pre-made one on hand). I used like-colored pairs for all connections. I found this was very important to prevent cross-talk. 15m run? maybe. try i on the bench and see if it works!

mkuoppa commented 4 years ago

Hey guys. Thanks for using this. Will think about adding your wind direction part to the code, though I don’t have it my self. Regarding the rain pulse counter going to zero, we’ll that is how that component works. If you want another behavior I suggest using an integrator on top of that (like the total daily rain). @bassicrob why not make a fork of my code to show and share your own contributions :)

stovedoctor commented 3 years ago

Excuse my ignorance. Can you tell me how to code calculate windspeed for a davis ? According to the Davis Anemometer technical document 1 mile per hour is equal to 1600 revolutions per hour.

mkuoppa commented 3 years ago

Excuse my ignorance.

Can you tell me how to code calculate windspeed for a davis ?

According to the Davis Anemometer technical document 1 mile per hour is equal to 1600 revolutions per hour.

First of all you need to know Home many pulsen your sensor gives per revolution/rotation and per minute. From this I have calculated my sensors rotations per second because I want to measure wind speed in meters per second.

rotations_per_sec = pulses/2/60

Then you must calculate the circumference of the anemomenter. The radius (r) of mine is 0.09m or 9cm. Circumference formula is r2pi

circ_m=0.0923.14 = 0.5652

Multiplying circumference and rotations per second gives roughly the wind speed. But I have added a calibration factor of 1.18 to compensate for the fact that the anemometer will not rotate at full wind speed but rather a bit slower due to friction drag and more.

mps = 1.18circ_mrotations_per_sec

So basically your calculation must be adapted the size of you anemometer, pulses per revolution and losses.

stovedoctor commented 3 years ago

Thanks for the reply. I get this from Arduino code site was trying to convert to Esphome yaml.

How to Measure the Wind Speed The wind cups have a reed switch mounted inside near the shaft. This switch is activated once per revolution of the cups. To calculate the wind speed we apply a formula that converts the number of time the switch activates per period of time to miles per hour.

According to the Davis Anemometer technical document 1 mile per hour is equal to 1600 revolutions per hour.

Using the formula V = P(2.25/T) we can calculate the speed in miles per hour. More here http://cactus.io/hookups/weather/anemometer/davis/hookup-arduino-to-davis-anemometer-wind-speed

mkuoppa commented 3 years ago

Thanks for the reply.

I get this from Arduino code site was trying to convert to Esphome yaml.

How to Measure the Wind Speed

The wind cups have a reed switch mounted inside near the shaft. This switch is activated once per revolution of the cups. To calculate the wind speed we apply a formula that converts the number of time the switch activates per period of time to miles per hour.

According to the Davis Anemometer technical document 1 mile per hour is equal to 1600 revolutions per hour.

Using the formula V = P(2.25/T) we can calculate the speed in miles per hour.

More here

http://cactus.io/hookups/weather/anemometer/davis/hookup-arduino-to-davis-anemometer-wind-speed

To make it clearer I convert this to SI units. I suggest everyone to do all calculations in SI units and the convert to whatever you want to be displayed.

1600 rev/h = 1 miles/h = 1.609 km/h 1600 m/h This implies that 1600rev = 1609 m And 1 rev = 1609 / 1600 = 1.006 m So the circumference is 1m. Use 1m as circumference in my code and skip the calibration factor.

So if you use update_interval: 60s Your multiply filter is approximately 1/60 = 0.0167

stovedoctor commented 3 years ago

Thank you, You rock. Now reading both of your replies I mostly get how the formula and code works. At first I did not understand the formula on speed calculations. I am a dumb ass and always need real world hands on example. In any of the example I have found online it was NOT explained that #circ_m=0.09*2*3.14 = 0.5652 Is the calculation of the size of the wind cups rotation converted to time. Every different design is going to be different size and I'm sure most will miss this fact if they just use your code that is linked in esphome.

One question so I understand how it works What is the 2 in this line? I think I get the 60 is a time factor seconds ? rotations_per_sec = pulses/2/60 Thank you very much for taking the time to help me and others learn. thestovedoc.com.

mkuoppa commented 3 years ago

Thank you, You rock.

Now reading both of your replies I mostly get how the formula and code works.

At first I did not understand the formula on speed calculations. I am a dumb ass and always need real world hands on example.

In any of the example I have found online it was NOT explained that

#circ_m=0.09*2*3.14 = 0.5652

Is the calculation of the size of the wind cups rotation converted to time.

Every different design is going to be different size and I'm sure most will miss this fact if they just use your code that is linked in esphome.

One question so I understand how it works

What is the 2 in this line?

I think I get the 60 is a time factor seconds ?

rotations_per_sec = pulses/2/60

Thank you very much for taking the time to help me and others learn.

thestovedoc.com.

When writing comments in code without review it tends not to be fully clarifying 😃 But hey, mistakes are part of being human and asking questions is a underestimated social activity 😉

By the way, my 2 is for 2 pulses per revolution...

Kwiatjk commented 3 years ago

Thank you, You rock. Now reading both of your replies I mostly get how the formula and code works. At first I did not understand the formula on speed calculations. I am a dumb ass and always need real world hands on example. In any of the example I have found online it was NOT explained that #circ_m=0.09*2*3.14 = 0.5652 Is the calculation of the size of the wind cups rotation converted to time. Every different design is going to be different size and I'm sure most will miss this fact if they just use your code that is linked in esphome. One question so I understand how it works What is the 2 in this line? I think I get the 60 is a time factor seconds ? rotations_per_sec = pulses/2/60 Thank you very much for taking the time to help me and others learn. thestovedoc.com.

When writing comments in code without review it tends not to be fully clarifying 😃 But hey, mistakes are part of being human and asking questions is a underestimated social activity 😉

By the way, my 2 is for 2 pulses per revolution...

Hi , how will be if i have 3 magnes ? and hall is connected to D7

''

platform: pulse_counter pin: D7 unit_of_measurement: 'm/s' name: 'Predkość Wiatru' icon: 'mdi:weather-windy' id: wind_sensor count_mode: rising_edge: DISABLE falling_edge: INCREMENT internal_filter: 50us update_interval: 60s
rotations_per_sec = pulses/4/60

circ_m=0.0323.14 = 0.1884

mps = 1.18circ_mrotations_per_sec

mps = 1.18*0.1884/4/60 = 0.0009263

filters:
- multiply: 0.0009263 '' Is ok ?

mkuoppa commented 3 years ago

If you have 3 pulsen per revolution (3 magnets)? Then the calculation would be ...

rotations_per_sec = pulses/3/60

... rather than...

rotations_per_sec = pulses/4/60

... which would correspond to 4 pulsen per revolution.

Kwiatjk commented 3 years ago

If you have 3 pulsen per revolution (3 magnets)? Then the calculation would be ...

rotations_per_sec = pulses/3/60

... rather than...

rotations_per_sec = pulses/4/60

... which would correspond to 4 pulsen per revolution.

THX will check

Kwiatjk commented 3 years ago

Hi, thx its working. But i have another problem when is connected to Esp8266 , is restarting every random minutes

mkuoppa commented 3 years ago

Hi, thx its working. But i have another problem when is connected to Esp8266 , is restarting every random minutes

The restarts you have is not something I have experienced. Make sure you have configured your specific board correctly in esphome and seek general support in esphome forums and discord etc.

Kwiatjk commented 3 years ago

I have set platform: ESP8266 board: nodemcuv2

but i have ESP8266 nodemcuv3 th will try

hugokernel commented 2 years ago

Hi, If anyone have an idea about the wind speed calculation explained in this comment https://github.com/hugokernel/esphome-weather-station/issues/6#issuecomment-1173526588 Thx !

Kwiatjk commented 2 years ago

So i have another question what will be multiply if i have only that informations ? Resolution: 0.0875 m/s (that is, if 20 pulse detected in 1s, the wind speed is 1.75 m/s, and 3.5m/s if 40 pulse detected)

platform: pulse_counter pin: number: GPIO14 mode: INPUT_PULLUP unit_of_measurement: 'm/s' name: 'Predkość Wiatru' icon: 'mdi:weather-windy' id: wind_sensor count_mode: rising_edge: DISABLE falling_edge: INCREMENT update_interval: 1s filters:
- multiply: ??

VincentSC commented 3 weeks ago

Thanks for all the sharing!

This is my version, running on NodeMCU v3:

esphome:
  name: weather
  friendly_name: Weather Station

esp8266:
  board: nodemcuv2

# Enable logging
logger:

# Enable Home Assistant API
api:
  encryption:
    key: <redacted>

ota:
  - platform: esphome
    password: <redacted>

wifi:
  ssid: !secret wifi_ssid
  password: !secret wifi_password
  power_save_mode: none # for keeping ESP8266 online

  # Enable fallback hotspot (captive portal) in case wifi connection fails
  ap:
    ssid: "Weather2 Fallback Hotspot"
    password: <redacted>

# captive_portal:

i2c:
  frequency: 100kHz #try for longer distance

sensor:
  - platform: pulse_counter
    pin: 
      # pin D5
      number: GPIO14
      mode: INPUT_PULLUP
    unit_of_measurement: 'm/s' ##change to m/s if metric
    name: 'Wind sensor'
    icon: 'mdi:weather-windy'
    id: my_wind
    count_mode:
      rising_edge: DISABLE
      falling_edge: INCREMENT
    internal_filter: 50us
    update_interval: 60s 
    #rotations_per_sec = pulses/2/60
    #circ_m=0.09*2*3.14 = 0.5652
    #mps = 1.18*circ_m*rotations_per_sec  
    #mps = 1.18*0.5652/2/60 =0,0055578
    filters:
      - multiply: 0.0055578 #use for m/s
      # - multiply: 2.237 #m/s to mph
      - sliding_window_moving_average:
          window_size: 4
          send_every: 1
      - multiply: 0.04973 #1.492mph switch to close 1/sec per spec, pulse/sec (/60/2)*1.492
      # - multiply: 0.0124327986 #m/s * mph conversion

  - platform: template
    id: wind_knots
    unit_of_measurement: 'knots'
    name: "Wind Speed Knots"
    lambda: return id(my_wind).state * 0.0055578 * 1.94384449;

  - platform: pulse_counter
    pin: 
      # pin D6
      number: GPIO12
      mode: INPUT_PULLUP
    unit_of_measurement: 'mm' ##change to mm if metric
    name: 'Rain gauge'
    icon: 'mdi:weather-rainy'
    id: my_rain
    internal: true
    count_mode:
      rising_edge: DISABLE
      falling_edge: INCREMENT
    internal_filter: 50us
    update_interval: 60s
    #buckets = pulses
    #mm_per_bucket=0.2794
    #rain = buckets*0.2794
    filters:
      - multiply: 0.2794 #for mm
  #    - multiply: 0.011 # to inches
    accuracy_decimals: 3

  - platform: integration
    name: "Rainfall per min"
    id: rain_per_min
    time_unit: min
    unit_of_measurement: 'mm'
    sensor: my_rain

  - platform: total_daily_energy
    name: "Total Daily Rain"
    power_id: my_rain
    unit_of_measurement: 'mm' ###change to mm if metric
    icon: 'mdi:weather-rainy'
    # x60 To convert to aggregated rain amount
    filters:
      - multiply: 60

### ADD WIND DIRECTION
  - platform: adc
    id: adc_sensor
    pin: A0
    name: ADC
    internal: true
    update_interval: 10s
    filters:
      # - multiply: 3.3 ##built into Wemos
      # - multiply: 0.0009775171   #1/1023
      - multiply: 0.96688422 # max is 4137, while example code has 4000
    accuracy_decimals: 2 ##IMPORTANT to get resolution for resistance sensor!

  - platform: resistance
    sensor: adc_sensor
    id: resistance_sensor
    configuration: DOWNSTREAM
    resistor: 10kOhm
    internal: true
    name: Resistance Sensor
    accuracy_decimals: 1
    filters:
      - heartbeat: 10s
    on_value:
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 3100
              below: 3200
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "N"
            - sensor.template.publish:
                id: wind_heading
                state: 0.0

      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 1600
              below: 1700
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "NE"         
            - sensor.template.publish:
                id: wind_heading
                state: 45.0            
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 250
              below: 350
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "E"                
            - sensor.template.publish:
                id: wind_heading
                state: 90.0          
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 550
              below: 650
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "SE"    
            - sensor.template.publish:
                id: wind_heading
                state: 135.0             
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 900
              below: 1100
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "S"    
            - sensor.template.publish:
                id: wind_heading
                state: 180.0            
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 2300
              below: 2450
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "SW"    
            - sensor.template.publish:
                id: wind_heading
                state: 225.0              
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 3900
              below: 4100
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "W"    
            - sensor.template.publish:
                id: wind_heading
                state: 270.0          
      - if:
          condition:
            sensor.in_range:
              id: resistance_sensor
              above: 3500
              below: 3800
          then:
            - text_sensor.template.publish:
                id: wind_dir_card
                state: "NW"    
            - sensor.template.publish:
                id: wind_heading
                state: 315.0

  - platform: template
    name: "Wind Heading"
    id: wind_heading
    unit_of_measurement: "°"

### ADD WIND CARIDNAL DIRECTION
### Your values may differ!
# Direction -- Resistance -- ADC Voltage
# N -- 3132Ω -- 0.79v
# NE -- 1643Ω -- 0.47v
# E -- 292Ω -- 0.10v
# SE -- 602Ω -- 0.19v
# S -- 974Ω -- 0.29v
# SW -- 2372Ω -- 0.63v
# W -- 3997Ω -- 0.94v
# NW -- 3657Ω -- 0.88v

  - platform: sun
    name: Sun Elevation
    type: elevation
    update_interval: 120s

  - platform: sun
    name: Sun Azimuth
    type: azimuth
    update_interval: 120s

## ADD Beufort

sun:
  latitude: 52.3662558
  longitude: 4.8354183

text_sensor:
  - platform: template
    name: "Wind Cardinal Direction"
    id: wind_dir_card

  - platform: sun
    name: Next Sunrise
    type: sunrise
    update_interval: 4h
  - platform: sun
    name: Next Sunset
    type: sunset
    update_interval: 4h
# light:
#   - platform: binary
#     id: status_light_remote
#     output: status_led_remote

output:
  - platform: gpio
    pin: 
      # pin D7
      number: GPIO13
      mode: OUTPUT
    id: status_led_remote
interval:
  - interval: 30s
    then:
      - output.turn_on: status_led_remote
      - delay: 150ms
      - output.turn_off: status_led_remote
  - interval: 60s
    then:
      - sensor.integration.reset: rain_per_min   
# Enable time component to reset energy at midnight
time:
  - platform: sntp
    id: my_time

Remarks:

nodemcuv2 runs fine on a NodeMCU v3 board
I don't have a bme280 installed, but if I would, then I'd need to change the platform to bme280_i2c
I did not look into wind-speed yet, which seems to be a discussion. Is there a way to find out where the bought sensor was calibrated to?
My wifi-connection was unstable, but the power_save_mode: none fixed it - still quite a discussion subject on the forums
I just remembered I had reserved a LAN-port included [WT32-ETH01](https://www.google.com/search?q=WT32-ETH01) for this project, but now I hope my wifi is in reach, on the roof :)
I based my project on https://tysonpower.de/blog/esp8266-weather-station (and this the yaml from this repo) but very different ports are used here. It was a bit difficult to mix&match the original and this version. Does ESPHome have something to separate personal preferences and board-specific configs from the things we actually try to solve?
I'm not using D7 for LED, but did fix it with GPIO13 anyway.
knots needs a ; in lambda
Focused on metric. I strongly suggest to the community having the non-world metrics (like feet/second or whatever) as additional templates instead of the other way around.
I experimentally found the max resistance and then normalized to 4000 ohm, so the same code could be used.
The adc_sensor has a heartbeat of 30 seconds, and the adc an interval of 10s. These don't really play nice together, so putting adc to 10s is a dumb fix
Power is planned to go via 2 wires. I understood that while ESP8266 does not have 5V-input, NodeMCU has a volt-regulator
The wind direction can be written more compact: https://community.home-assistant.io/t/wind-direction/210532/4 - I still have to do that
I managed to get everything in the original box. The plugs are from old telephone-stuff I did not throw away yet, glued in place.
What is not clear in any of the texts for beginners like me: it does not matter which of the two wires you choose to go to ground.

signal-2024-10-26-212317

mkuoppa / esphomeweatherstation

Anemometer Integration & Improvements #2

rotations_per_sec = pulses/2/60

circ_m=0.0923.14 = 0.5652

mps = 1.18circ_mrotations_per_sec

rotations_per_sec = pulses/4/60

circ_m=0.0323.14 = 0.1884

mps = 1.18circ_mrotations_per_sec

mps = 1.18*0.1884/4/60 = 0.0009263