def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self,env,name)
self.inp=inp
self.outp=outp
# parameters
self.printing_delay=1
self.cleaning_delay=1
self.num_pcbs_per_cleaning=2
# Consumables:
# (Solder and adhesive reserves:)
# default values for initial amount and capacity are 0.
# these parameters are to be set by the user
# in the top-level system description
self.solder_capacity = 0.0
self.solder_initial_amount = 0.0
self.adhesive_capacity = 0.0
self.adhesive_initial_amount =0.0
# states
self.define_states(states=["idle","waiting_for_refill","printing","cleaning","waiting_to_output"],start_state="idle")
self.process=env.process(self.behavior())
# this is the operator we interrupt
# when the solder/adhesive reserves are low.
#
self.refill_operator=None
self.solder_reserve = None
self.adhesive_reserve=None
def __init__(self, env, name, num_stages, delay_per_stage):
BaseOperator.__init__(self, env, name)
self.num_stages = num_stages
self.delay_per_stage = delay_per_stage
#default parameter values
self.start_time = 0
#A conveyor belt has at-least two stages
assert (isinstance(self.num_stages, int) and (num_stages >= 2))
assert (isinstance(self.delay_per_stage, int))
assert (isinstance(self.start_time, int))
# create input and output buffers
# corresponding to the first and last stages
self.input_buf = simpy.Store(env, capacity=1)
self.output_buf = simpy.Store(env, capacity=1)
# a list to model stages
self.stages = [None for i in range(num_stages)]
#states
self.define_states(["empty", "moving", "stalled"], start_state="empty")
# start behavior
self.process = env.process(self.behavior())
def __init__(self,env,name,inp,outp):
BaseOperator.__init__(self,env,name)
self.inp=inp
self.outp=outp
self.start_time=0
#states
self.define_states(["idle","printing","waiting_for_refill"])
# this is the operator we interrupt
# when the solder/adhesive reserves are low.
#
self.refill_operator=None
# Consumables:
# (Solder and adhesive reserves:)
# default values for initial amount and capacity are 0.
# these parameters are to be set by the user
# in the top-level system description
self.solder_capacity = 0
self.solder_initial_amount = 0
self.adhesive_capacity = 0
self.adhesive_initial_amount =0
self.solder_reserve = None
self.adhesive_reserve=None
# start behavior
self.process=env.process(self.behavior())
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self, env, name)
self.inp = inp
self.outp = outp
# parameters
self.processing_delay = 1
self.reel_replacement_interval = 2
# state variables
self.num_pcbs_processed_since_last_reel_replacement = 0
# states
self.define_states(states=[
"idle", "waiting_for_reel_replacement", "processing",
"waiting_to_output"
],
start_state="idle")
self.process = env.process(self.behavior())
# this is the operator we interrupt
# for performing reel replacements
self.reel_replacement_operator = None
# instantiate a SimPy buffer used as a flag.
# An occupied buffer indicates that a reel replacement operation
# has been completed by an external operator.
self.reel_replacement_done = simpy.Store(env, capacity=1)
def __init__(self, env, name, capacity):
BaseOperator.__init__(self, env, name)
self.capacity = capacity
#default parameter values
self.delay = 1
self.start_time = 0.5
#A conveyor belt has at-least two stages
assert (isinstance(capacity, int) and (capacity >= 2))
# create input and output buffers
# corresponding to the first and last stages
self.input_buf = simpy.Store(env, capacity=1)
self.output_buf = simpy.Store(env, capacity=1)
# a list to model stages
self.stages = [None for i in range(capacity)]
#states
self.define_states(["stalled", "moving"])
# start behavior
self.process = env.process(self.behavior())
def __init__(self, env, name):
BaseOperator.__init__(self,env,name)
# list of tasks assigned
# to this operator
self.task_list=[]
# start behavior
self.behavior=env.process(self.behavior())
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self, env, name)
self.inp = inp
self.outp = outp
self.delay = 0
self.start_time = 0
self.process = env.process(self.behavior())
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self, env, name)
self.inp = inp
self.outp = outp
self.delay = 1
#states
self.define_states(states=["idle", "loading"], start_state="idle")
self.process = env.process(self.behavior())
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self, env, name)
self.inp = inp
self.outp = outp
#parameters, and default values
self.delay = 10
self.start_time = 0
self.on_temp = 100
#start behavior
self.process = env.process(self.behavior())
def __init__(self, env, name):
BaseOperator.__init__(self, env, name)
# list of tasks assigned
# to this operator
self.assigned_tasks_list = []
# start behavior
self.behavior = env.process(self.behavior())
self.define_states(states=["idle", "busy"], start_state="idle")
#queued-up tasks to be performed.
self.pending_tasks_queue = []
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self,env,name)
self.inp=inp
self.outp=outp
#default parameter values
self.delay=0
self.start_time=0
self.define_states(["idle","busy","waiting_to_output"])
#start behavior
self.process=env.process(self.behavior())
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self, env, name)
self.inp = inp
self.outp = outp
#states
self.define_states(["idle", "busy"])
#default parameter values
self.PCB_stack_size = 10
self.start_time = 0
self.process = env.process(self.behavior())
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self, env, name)
self.inp = inp
self.outp = outp
# parameters
self.capacity = 1
self.k = 0 # turn on the RFO as soon as capacity-k items have accumulated in the buffer.
self.buffering_mode = "LIFO" #can be "LIFO" or "FIFO"
self.buffer = None
# states
self.define_states(states=["bypass", "filling", "emptying"],
start_state="bypass")
self.process = env.process(self.behavior())
# pointer to Reflow Oven for controlling it
self.reflow_pointer = None
# operational mode can be "BYPASS" or "BUFFERING_ENABLED"
self.operational_mode = "BYPASS"
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self,env,name)
self.inp=inp
self.outp=outp
#default parameter values
self.num_stages=4
self.delay=1
self.start_time=0
#create a list to model stages in the reflow oven
self.stage=[None for i in range(self.num_stages)]
#states
self.define_states(["idle","busy"])
#start behavior
self.process=env.process(self.behavior())
def __init__(self, env, name, inp, outp):
BaseOperator.__init__(self, env, name)
self.inp = inp
self.outp = outp
# parameters
self.num_stages = 1
self.delay_per_stage = 1
# Operational Modes.
self.operational_mode = "AUTONOMOUS" #can be set to "EXTERNAL_CONTROL"
# External control signal that is used
# only when the operational_mode is EXTERNAL_CONTROL
self.external_signal = "TURN_ON" # can be "TURN_OFF".
# states
self.define_states(states=[
"off", "setup", "temperature_maintain_unoccupied",
"temperature_maintain_occupied"
],
start_state="off")
# Parameters that determine the setup time
#(time to raise the temperature of teh oven to a required value.)
self.temp_max = 200.0 # Temp (degrees Celcius) in maintain state.
self.temp_room = 30.0 # Temp (degrees Celcius) ambient.
self.temp_current = 0.0 # variable that strores the current temperature.
self.timestamp_turn_OFF = 0 # time instant at which the oven was last turned OFF.
self.cooling_rate_constant = 0.5 # constant that determines cooling rate
self.heating_rate_constant = 170.0 # constant that determines heating rate (degrees celcius per hour)
self.setup_time = 0 #<== value is dynamically computed using the above parameters.
# create a list to model stages
self.stages = []
# start behavior
self.process = env.process(self.behavior())
