add classroom_model

This commit is contained in:
markus 2021-02-19 19:01:37 +01:00
parent c7546cec40
commit 57e07da379

View file

@ -963,7 +963,34 @@ exposure_models = [MCExposureModel(
)
) for qid in (100, 60)]
print(np.mean(large_population_baselines[0].infection_probability()))
classroom_model = MCExposureModel(
concentration_model=MCConcentrationModel(
room=models.Room(volume=160),
ventilation=models.SlidingWindow(
active=models.PeriodicInterval(period=120, duration=10),
inside_temp=models.PiecewiseConstant((0, 24), (293,)),
outside_temp=models.PiecewiseConstant((0, 24), (283,)),
window_height=1.6, opening_length=0.6,
),
infected=MCInfectedPopulation(
number=1,
presence=models.SpecificInterval(((0, 2), (2.5, 4), (5, 7), (7.5, 9))),
masked=False,
virus=MCVirus(halflife=1.1, qID=60),
expiratory_activity=2,
samples=200000,
breathing_category=3,
)
),
exposed=models.Population(
number=19,
presence=models.SpecificInterval(((0, 2), (2.5, 4), (5, 7), (7.5, 9))),
activity=models.Activity.types['Seated'],
mask=models.Mask.types['No mask']
)
)
plot_concentration_curve(classroom_model)
#generate_cdf_curves_vs_qr(masked=False)