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nebuleair_pro_4g/sound_meter/NSRT_mk4_get_data.py
Your Name 8d989de425 update
2025-05-27 16:48:48 +02:00

72 lines
2.4 KiB
Python

'''
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/ ___| / _ \| | | | \ | | _ \
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python3 /var/www/nebuleair_pro_4g/sound_meter/get_data.py
Script to get data from the NSRT_MK4 Sound Level Meter
triggered by a systemd service
sudo systemctl status nebuleair-noise-data.service
Need to install "nsrt_mk3_dev"
1.Intervalle d'enregistrement
L'intervalle d'enregistrement définit le temps entre deux points successifs enregistrés.
Cela définit également la période d'intégration pour le LEQ, et la période d'observation pour L-min et L-max et Lpeak.
L'intervalle d'enregistrement peut être réglé de 125 ms (1/8ème) à 2 H par incréments de 125 ms.
some parameters can be changed:
write_tau(tau: float) -> time constant
write_fs(frequency: int) -> sampling freq
'''
import nsrt_mk3_dev
import sqlite3
nsrt = nsrt_mk3_dev.NsrtMk3Dev('/dev/ttyACM0')
# Connect to the SQLite database
conn = sqlite3.connect("/var/www/nebuleair_pro_4g/sqlite/sensors.db")
cursor = conn.cursor()
#GET RTC TIME from SQlite
cursor.execute("SELECT * FROM timestamp_table LIMIT 1")
row = cursor.fetchone() # Get the first (and only) row
rtc_time_str = row[1] # '2025-02-07 12:30:45'
freq_level = nsrt.read_fs() #current sampling frequency
time_constant = nsrt.read_tau() #reads the current time constant
leq_level = nsrt.read_leq() #current running LEQ and starts the integration of a new LEQ.
weighting = nsrt.read_weighting() #weighting curve that is currently selected
weighted_level = nsrt.read_level() #current running level in dB.
#print(f'current sampling freq : {freq_level} Hz')
#print(f'current time constant : {time_constant} s')
#print(f'current LEQ level: {leq_level:0.2f} dB')
#print(f'{weighting} value: {weighted_level:0.2f} dBA')
# Round values to 2 decimal places before saving
leq_level_rounded = round(leq_level, 2)
weighted_level_rounded = round(weighted_level, 2)
#save to db
#save to sqlite database
try:
cursor.execute('''
INSERT INTO data_NOISE (timestamp,current_LEQ, DB_A_value) VALUES (?,?,?)'''
, (rtc_time_str,leq_level_rounded,weighted_level_rounded))
# Commit and close the connection
conn.commit()
#print("Sensor data saved successfully!")
except Exception as e:
print(f"Database error: {e}")
conn.close()