76 lines
2.3 KiB
Python
76 lines
2.3 KiB
Python
from pymodbus.client import ModbusTcpClient
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import pandas as pd
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import struct
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import time
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import csv
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import os
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# Excel-Datei mit den Input-Registerinformationen
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excel_path = "data/ModBus TCPIP 1.17(1).xlsx"
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xls = pd.ExcelFile(excel_path)
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df_input_registers = xls.parse('04 Input Register')
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# Relevante Spalten bereinigen
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df_clean = df_input_registers[['MB Adresse', 'Variable', 'Beschreibung', 'Variabel Typ']].dropna()
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df_clean['MB Adresse'] = df_clean['MB Adresse'].astype(int)
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# Dictionary aus Excel erzeugen
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registers = {
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row['MB Adresse']: {
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'desc': row['Beschreibung'],
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'type': 'REAL' if row['Variabel Typ'] == 'REAL' else 'INT'
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}
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for _, row in df_clean.iterrows()
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}
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# CSV-Datei vorbereiten
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csv_filename = "modbus_log.csv"
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csv_exists = os.path.isfile(csv_filename)
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# Verbindung zur Wärmepumpe
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ip = '10.0.0.10'
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port = 502
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unit_id = 1
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client = ModbusTcpClient(ip, port=port)
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try:
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if not client.connect():
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print("Verbindung zur Wärmepumpe fehlgeschlagen.")
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exit(1)
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print("Verbindung zur Wärmepumpe erfolgreich.")
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with open(csv_filename, mode='a', newline='') as file:
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writer = csv.writer(file)
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if not csv_exists:
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header = ['Zeit'] + [f"{address} - {info['desc']}" for address, info in registers.items()]
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writer.writerow(header)
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while True:
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print(f"\n--- Neue Abfrage --- {time.strftime('%Y-%m-%d %H:%M:%S')} ---")
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row = [time.strftime('%Y-%m-%d %H:%M:%S')]
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for address, info in registers.items():
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reg_type = info['type']
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result = client.read_input_registers(address, count=2 if reg_type == 'REAL' else 1)
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if result.isError():
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print(f"Fehler beim Lesen von Adresse {address}: {result}")
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row.append('Fehler')
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continue
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if reg_type == 'REAL':
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value = result.registers[0] / 10.0
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else:
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value = result.registers[0]
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print(f"Adresse {address} - {info['desc']}: {value}")
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row.append(value)
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writer.writerow(row)
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file.flush()
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time.sleep(10)
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except KeyboardInterrupt:
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print("Beendet durch Benutzer (Ctrl+C).")
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finally:
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client.close()
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