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v1.6.1: NSRT MK4 deconnexion — noise_status en base + ERR_NOISE dans error_flags

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Meme modele que NPM: ecriture en base avec valeurs a 0 et noise_status=0xFF
si capteur deconnecte, flag ERR_NOISE (bit 5) dans byte 66 UDP, messages
explicites sur page capteurs et self-test.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
PaulVua
2026-03-19 11:42:10 +01:00
parent 11585b4783
commit 47d76be5df
8 changed files with 84 additions and 29 deletions
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51
sound_meter/NSRT_mk4_get_data.py
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@@ -28,7 +28,31 @@ write_fs(frequency: int) -> sampling freq
import nsrt_mk3_dev
import sqlite3
nsrt = nsrt_mk3_dev.NsrtMk3Dev('/dev/ttyACM0')
# noise_status: 0x00 = OK, 0xFF = disconnected
noise_status = 0x00
leq_level_rounded = 0
weighted_level_rounded = 0
try:
nsrt = nsrt_mk3_dev.NsrtMk3Dev('/dev/ttyACM0')
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 ( A ou C)
weighted_level = nsrt.read_level() #current running level in dB.
leq_level_rounded = round(leq_level, 2)
weighted_level_rounded = round(weighted_level, 2)
except Exception as e:
err_msg = str(e)
if "No such file or directory" in err_msg or "could not open port" in err_msg:
print(f"NSRT MK4 disconnected: {err_msg}")
noise_status = 0xFF
else:
print(f"NSRT MK4 error: {err_msg}")
noise_status = 0xFF
# Connect to the SQLite database
conn = sqlite3.connect("/var/www/nebuleair_pro_4g/sqlite/sensors.db")
@@ -39,34 +63,15 @@ 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 ( A ou C)
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))
INSERT INTO data_NOISE (timestamp, current_LEQ, DB_A_value, noise_status) VALUES (?,?,?,?)'''
, (rtc_time_str, leq_level_rounded, weighted_level_rounded, noise_status))
# Commit and close the connection
conn.commit()
#print("Sensor data saved successfully!")
except Exception as e:
print(f"Database error: {e}")
print(f"Database error: {e}")
conn.close()