''' ____ ___ _ _ _ _ ____ / ___| / _ \| | | | \ | | _ \ \___ \| | | | | | | \| | | | | ___) | |_| | |_| | |\ | |_| | |____/ \___/ \___/|_| \_|____/ python3 /var/www/nebuleair_pro_4g/sound_meter/NSRT_MK4_change_config.py 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 from nsrt_mk3_dev import Weighting nsrt = nsrt_mk3_dev.NsrtMk3Dev('/dev/ttyACM0') ##################### #change time constant nsrt.write_tau(60) ##################### ##################### #change Weighting curve # - Weighting.DB_A (A-weighting - most common for environmental noise) # - Weighting.DB_C (C-weighting - for peak measurements) # - Weighting.DB_Z (Z-weighting - linear/flat response) nsrt.write_weighting(Weighting.DB_A) ##################### 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')