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A python library to retrieve statistics from your Oekofen Pelletronic

Project description

Oekofen API

Usage

  • change 192.168.178.222 to your Oekofen IP
  • change eMlG to your JSON Password (see Touchpad of your Oekofen)
import oekofen_api
import time

client = oekofen_api.Oekofen("192.168.178.222", "eMlG")
#client.update_csv_data()
client.get_version()

client.update_data()
client.get_status()
client.get_weather_temp()
client.get_heating_circuit_temp()


old_value = client.get_attribute('pu', 'L_tpo_act').get_value()
print(old_value)
while True:
    try:
        client.update_data()
    except Exception:
        time.sleep(5)
        continue
    new_value = client.get_attribute('pu', 'L_tpo_act').get_value()
    time.sleep(10)
    if new_value != old_value:
        print(old_value, new_value)
        old_value = new_value

#client.set_heating_circuit_temp(celsius=23)

Todo

Online Resources

Berechnung Pelletsverbrauch

Berechnungsgrundlage: Abschnitt Calculations in Oekofen-Spy

  1. Ableitung pe1_L_modulation via derivative minütlich
    1. siehe Integration derivative / Code Berechnung der Ableitung
    2. <Differenz Sensortwert alt - Sensorwert neu> / <Sekunden zwischen beiden Sensorwerten> / 1 * <Sekunden = 60>
    3. Einrichten als Helper derivative_modulation
  2. Helper einrichten Schwellenwertsensor für derivative_modulation
    1. Hysterese: 0
    2. Untere Grenze: 0
    3. Obere Grenze: 1000
    4. Ergebnis: True/False für den Zeitraum, wenn der Wert positiv ist
    5. Muss der Schwellenwertsensor evtl. vor den Ableitungssensor? (non_negative_derivative)
  3. Formel Pelletsverbrauch:
    1. Schwellwert / 60 * <kW Leitung Pelletsheizung, z.B. 7.8kW> *

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