Merge branch 'main' of https://git.miaig.dev/mia/abschlussarbeit
This commit is contained in:
commit
1cde5a2cfd
36 changed files with 41 additions and 91 deletions
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[]
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{
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"id": "sensor_004",
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"type": "light",
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"unit": "state",
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"reading": [
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{
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"ts": 1748452265,
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"state": "dunkel"
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},
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{
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"ts": 1748452267,
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"state": "dunkel"
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}
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]
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}
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@ -1,35 +0,0 @@
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{
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"id": "sensor_001",
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"type": "noise",
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"unit": "bool",
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"readings": [
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{
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"ts": 1748452253,
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"value": 1
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},
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{
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"ts": 1748452254,
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"value": 1
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},
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{
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"ts": 1748452255,
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"value": 1
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},
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{
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"ts": 1748452256,
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"value": 1
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},
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{
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"ts": 1748452257,
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"value": 1
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},
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{
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"ts": 1748452258,
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"value": 1
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},
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{
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"ts": 1748452259,
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"value": 1
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}
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]
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}
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@ -4,17 +4,18 @@ import os
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import board
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import digitalio
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json_file = "ky018_data.json"
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json_file = "json/ky018_data.json"
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MAX_ENTRIES = 3000
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light_pin = digitalio.DigitalInOut(board.D17)
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light_pin.direction = digitalio.Direction.INPUT
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data_template = {
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dataldr = {
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"location": "Hausstrasse - 1",
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"id": "sensor_004",
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"type": "light",
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"unit": "bool",
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"reading": []
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"readings": []
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}
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def load_data():
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@ -22,7 +23,7 @@ def load_data():
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with open(json_file, 'r', encoding='utf-8') as f:
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return json.load(f)
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else:
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return data_template.copy()
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return dataldr.copy()
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def save_data(data):
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with open(json_file, 'w', encoding='utf-8') as f:
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@ -32,10 +33,10 @@ def capture_and_store(state):
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timestamp = int(time.time())
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data = load_data()
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data["reading"].append({"ts": timestamp,"value": state})
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data["readings"].append({"ts": timestamp,"value": state})
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if len(data["reading"]) > MAX_ENTRIES:
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data["reading"] = data["reading"][-MAX_ENTRIES:]
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if len(data["readings"]) > MAX_ENTRIES:
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data["readings"] = data["readings"][-MAX_ENTRIES:]
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save_data(data)
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@ -5,17 +5,18 @@ from datetime import datetime
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import os
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SENSOR_PIN = 17
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JSON_FILE = "ky037_data.json"
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JSON_FILE = "json/ky037_data.json"
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INTERVAL = 1
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GPIO.setmode(GPIO.BCM)
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GPIO.setup(SENSOR_PIN, GPIO.IN)
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SENSOR_INFO = {
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datamikro = {
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"location": "Hausstrasse - 2",
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"id": "sensor_001",
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"type": "noise", # Geräuschsensor
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"unit": "bool", # 1 oder 0 (geräusch ja/nein)
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"type": "noise",
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"unit": "bool",
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"readings": []
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}
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@ -24,7 +25,7 @@ def load_data():
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with open(JSON_FILE, 'r', encoding='utf-8') as f:
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return json.load(f)
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else:
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return SENSOR_INFO.copy() # frisches Grundgerüst
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return datamikro.copy()
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def save_data(data):
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with open(JSON_FILE, 'w', encoding='utf-8') as f:
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@ -32,7 +33,7 @@ def save_data(data):
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def capture_and_store():
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state = GPIO.input(SENSOR_PIN)
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timestamp = int(time.time()) # Unix-Zeitstempel (int)
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timestamp = int(time.time())
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noise = True if state == 0 else False
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entry = { "ts": timestamp, "value": noise}
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@ -1,9 +0,0 @@
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Temperatur Sensor: Ich müss eine extra venv umgebung erstellen für den Sensor DHT11. Ich mache alles in Visula Studio Code. Ich habe eine Test programm versucht. test.temp.py
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Fehlermeldungen:
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1. Board nicht gefunden: pip install board
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2. adafruit_dht nicht funktioniert: pip3 install adafruit-circuitpython-dht
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3. RPI nicht gefunden: pip install RPI.GPIO
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TemperaturSensor:
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@ -9,23 +9,30 @@ dhtDevice = adafruit_dht.DHT11(board.D23)
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json_file = "json/ky015_data.json"
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datatemphum = {
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"id": "sensor_002/3",
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"type": "environment",
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"unit": {
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"temperature": "°C",
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"humidity": "%"
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},
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"reading": []
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datatemp = {
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"location": "Hausstrasse - 3",
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"sensors": [
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{
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"id": "sensor_002",
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"type": "temperature",
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"unit": "°C",
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"readings": []
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},
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{
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"id": "sensor_003",
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"type": "humidity",
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"unit": "%",
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"readings": []
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}
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]
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}
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def load_data():
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if os.path.exists(json_file):
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with open(json_file, 'r', encoding='utf-8') as f:
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return json.load(f)
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else:
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return datatemphum.copy()
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return datatemp.copy()
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def save_data(data):
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with open(json_file, 'w', encoding='utf-8') as f:
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def capture_and_store(temperature_c,humidity):
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timestamp = int(time.time())
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data=load_data()
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data = load_data()
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data["reading"].append({
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"ts": timestamp,
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"temperature": temperature_c,
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"humidity":humidity
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})
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temp_sensor = next(s for s in data["sensors"] if s["type"] == "temperature")
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hum_sensor = next(s for s in data["sensors"] if s["type"] == "humidity")
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temp_sensor["readings"].append({"ts": timestamp, "value": temperature_c})
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hum_sensor["readings"].append({"ts": timestamp, "value": humidity})
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if len(data["reading"]) > max_entries:
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data["reading"] = data["reading"][-max_entries:]
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if len(temp_sensor["readings"]) > max_entries:
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temp_sensor["readings"] = temp_sensor["readings"][-max_entries:]
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if len(hum_sensor["readings"]) > max_entries:
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hum_sensor["readings"] = hum_sensor["readings"][-max_entries:]
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save_data(data)
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