def __init__(self, facility, kmp_identifier):
self.batch = batch_class(0, "batch")
self.identifier = kmp_identifier
self.measured_weight = 0 # measurement
self.muf = 0
self.uncertainty = np.loadtxt(facility.kmps_dir + '/key.measurement.points.inp', usecols=[2])[kmp_identifier] # std = 0.01; uncertainty only associated with measurement
self.time_delay = np.loadtxt(facility.kmps_dir + '/key.measurement.points.inp', usecols=[1])[kmp_identifier] # kmp measurement time = 30 mins = 0.0208 days.
#print self.uncertainty
#self.kmp_alarm_threshold = self.alarm_threshold() #expected values: (0.02, 0.101980390272)
# print self.kmp_alarm_threshold[1]
# only one standard deviation can be used as a threshold. However, the false alarm probability will be low in this case compared to 0.95.
# Or, you can use a false alarm probability of 95%.
self.kmp_alarm_threshold1 = 0.0
self.kmp_alarm_threshold2 = 0.0
self.kmp_alarm_threshold_0_3 = 0.0
self.kmp_alarm_threshold_3_3 = 0.0
facility_component_class.__init__(self, "key_measurement_point_%i"%(kmp_identifier), "kmp", facility.kmps_odir)
self.muf_data_output1 = open(facility.muf_odir+ '/muf1.out', 'w+') # muf info
self.muf_data_output2 = open(facility.muf_odir+ '/muf2.out', 'w+')
self.muf_data_output3 = open(facility.muf_odir+ '/muf3.out', 'w+')
def __init__(self,facility):
self.measured_inventory = 0
self.edge = edge_transition_class(facility,0)
self.initial_inventory = facility.initial_inventory
self.storage_buffer = storage_buffer_class(facility, self.initial_inventory)
self.kmp = kmp_class(facility,0)
facility_component_class.__init__(self, 0, 0, 0, "first_storage_unit", "manager", None)
def __init__(self, facility):
self.heel = batch_class(0, "heel") # heel initialization.
self.batch = batch_class(0, "batch") # batch initialization.
self.process_time_delay = np.loadtxt(
facility.process_states_dir + '/process.operation.time.inp',
usecols=[1])[1] # 8 hours = 0.3333 days
# self.batch = batch_class(self.batch_size, "batch")
self.failure_rate = np.loadtxt(
facility.failure_equipment_dir + '/melter.failure.data.inp',
usecols=[1]) # 0.0333 days-1 = 1/30 days
self.maintenance_time_delay = np.loadtxt(
facility.failure_equipment_dir + '/melter.failure.data.inp',
usecols=[2]) # 0.1667 days = 4 hours
self.cleaning_time_delay = np.loadtxt(
facility.failure_equipment_dir + '/melter.failure.data.inp',
usecols=[3]) # 0.0833 days = 2 hours
self.time_of_last_failure = 0 # The melter hasn't failed yet.
self.true_batch_loss = 0
self.failure_count = 0
self.failure_data_output = data_output_class(
"melter_failure_data", facility.equipment_failure_odir)
facility_component_class.__init__(self, "melter", "processor",
facility.material_flow_odir)
self.sum = 0.0
def __init__(self,facility):
self.inventory = 0
self.measured_inventory = 0
self.time_delay = np.loadtxt(facility.process_states_dir+'/process.operation.time.inp',usecols=[1])[3]
self.inspection_measurement_uncertainty = np.loadtxt(facility.process_states_dir+ \
'/measurement.uncertainty.inp')
facility_component_class.__init__(self, 0, 0, 0, "product_storage", "storage", facility.inventory_odir)
def __init__(self, facility):
self.batch = batch_class(0, "batch")
self.time_delay = np.loadtxt(facility.process_states_dir +
'/process.operation.time.inp',
usecols=[1])[2] # 0.125 days = 3 hours
facility_component_class.__init__(self, "trimmer", "processor", None)
def __init__(self,facility,kmp_identifier):
self.uncertainty = np.loadtxt(facility.kmps_dir+'/key.measurement.points.inp',usecols=[2])[kmp_identifier]
self.time_delay = np.loadtxt(facility.kmps_dir+'/key.measurement.points.inp',usecols=[1])[kmp_identifier]
self.alarm_threshold = np.loadtxt(facility.kmps_dir+'/key.measurement.points.inp',
usecols=[4])[kmp_identifier]
self.identifier = kmp_identifier
self.measured_weight = 0
facility_component_class.__init__(self, 0, 0,0, "key_measurement_point_%i"%(kmp_identifier), "kmp",
facility.kmps_odir)
def __init__(self,facility,initial_inventory):
self.batch_size = np.loadtxt(facility.process_states_dir+'/batch.inp')
self.inventory = initial_inventory
self.measured_inventory = initial_inventory
self.time_delay = np.loadtxt(facility.process_states_dir+'/process.operation.time.inp',usecols=[1])[0]
self.inspection_measurement_uncertainty = np.loadtxt(facility.process_states_dir+ \
'/measurement.uncertainty.inp')
facility_component_class.__init__(self, self.inventory, self.batch_size, self.inventory,
"storage_buffer", "storage", facility.inventory_odir)
def __init__(self,facility):
self.expected_loss = np.loadtxt(facility.process_states_dir+ \
'/melter.loss.fraction.inp',usecols=[1])[0]
self.batch_loss_bounds = np.loadtxt(facility.process_states_dir+'/melter.loss.fraction.inp',
usecols=[1])[1:3]
self.process_time_delay = np.loadtxt(facility.process_states_dir+ \
'/process.operation.time.inp',usecols=[1])[1]
self.heel = batch_class(0,"heel")
self.failure_rate = np.loadtxt(facility.failure_equipment_dir+'/melter.failure.data.inp',usecols=[1])
self.maintenance_time_delay = np.loadtxt(facility.failure_equipment_dir+ \
'/melter.failure.data.inp',usecols=[2])
self.cleaning_time_delay = np.loadtxt(facility.failure_equipment_dir+ \
'/melter.failure.data.inp',usecols=[2])
self.time_of_last_failure = 0
self.true_batch_loss = 0
self.failure_count = 0
self.failure_data_output = data_output_class("melter_failure_data", facility.equipment_failure_odir)
facility_component_class.__init__(self, 0, 0, 0, "melter", "processor", facility.material_flow_odir)
def __init__(self, facility):
self.batch = batch_class(0, "batch")
self.inventory_muf = 0
self.inventory_2_melter = 0
self.measured_inventory = 0
#self.inventory = 0
self.time_delay = np.loadtxt(
facility.process_states_dir + '/process.operation.time.inp',
usecols=[1])[3] # 0.0833 days = 2 hours (recycle storage time)
facility_component_class.__init__(self, "recycle_storage", "storage",
facility.inventory_odir)
self.inventory_muf_output = open(
facility.inventory_odir + '/inventory_muf.out', 'w+')
self.inventory_2_melter_output = open(
facility.inventory_odir + '/inventory_2_melter.out', 'w+')
def __init__(self,facility):
"""
The fabricator initializes all of the objects that are its own constituents. That includes the melter,
trimmer, recycle storage, four kmp's, and the edge transitions between such.
The expected batch and heel weights are changed everytime a component that changes those state variables
processes a batch.
"""
self.edge = edge_transition_class(facility,0)
self.kmp = []
for n in range(4):
self.kmp.append(kmp_class(facility,n))
self.melter= melter_class(facility)
self.trimmer = trimmer_class(facility)
self.recycle_storage = recycle_storage_class(facility)
self.expected_campaign_muf = 0
self.measured_campaign_muf = 0
self.true_campaign_muf = 0
facility_component_class.__init__(self, 0, 0, 0, "fuel_fabricator", "manager", None)
def __init__(self, facility, initial_inventory):
self.batch_size = np.loadtxt(facility.process_states_dir +
'/batch.inp') # 20 KG
self.inventory = initial_inventory # 10,000 KG
self.batch = batch_class(self.batch_size, "batch")
self.measured_inventory = self.measured_inventory_calculation(facility)
print "Round (measured storage buffer inventory) " + str(
facility.total_campaign) + " : " + str(self.measured_inventory)
self.time_delay = np.loadtxt(
facility.process_states_dir + '/process.operation.time.inp',
usecols=[
1
])[0] #Storage buffer batch preparation time: 1 hour = 0.0417
self.time_inspection = 0.333333 # 8 hours of inspection; an input file for it is needed (two different inventories)
facility_component_class.__init__(self, "storage_buffer", "storage",
facility.inventory_odir)
def __init__(self, facility):
#self.batch_size = np.loadtxt(facility.process_states_dir + '/batch.inp') # 20 KG
self.batch = batch_class(0, "batch")
self.inventory = 0
self.end_time_inspection = 0.166667 # 4 hours
self.time_delay = np.loadtxt(facility.process_states_dir +
'/process.operation.time.inp',
usecols=[1])[3] # 0.0833 days; 2 hours
#if (facility.total_campaign == 1):
self.measured_inventory = 0
#self.measured_inventory_calculation(facility)
#print "Round (storage buffer inventory) " + str(facility.total_campaign) +" : " + str(self.measured_inventory)
facility_component_class.__init__(self, "product_storage", "storage",
facility.inventory_odir)
def __init__(self,facility):
self.measured_inventory = 0
self.edge = edge_transition_class(facility,0)
self.product_storage = product_storage_class(facility)
self.kmp = kmp_class(facility,2)
facility_component_class.__init__(self, 0, 0, 0, "final_storage_unit", "manager", None)
def __init__(self,facility):
self.time_delay = np.loadtxt(facility.process_states_dir+'/process.operation.time.inp',usecols=[1])[2]
facility_component_class.__init__(self, 0, 0, 0, "trimmer", "processor", None)
def __init__(self,facility,edge_number):
self.time_delay = np.loadtxt(facility.edge_transition_dir+'/edge.transition.inp',
usecols=[1])[edge_number]
facility_component_class.__init__(self, 0, 0, 0, "edge_transition", "manager", None)
def __init__(self,facility):
self.time_delay = np.loadtxt(facility.process_states_dir+'/process.operation.time.inp',usecols=[1])[3]
self.inventory = 0
self.measured_inventory = 0
facility_component_class.__init__(self, 0, 0, 0, "recycle_storage", "storage", facility.inventory_odir)
def __init__(self, facility, edge_number):
self.time_delay = np.loadtxt(
facility.edge_transition_dir + '/edge.transition.inp',
usecols=[1])[edge_number] # 30 mins = 0.0208 days
facility_component_class.__init__(self, "edge_transition", "manager",
None) #inheritance
