Initial spike filter implemented

Šī revīzija ir iekļauta:
Dirk Alders 2021-01-05 19:31:02 +01:00
vecāks f8cb99aa08
revīzija 95f340418f

45
dht.py
Parādīt failu

@ -27,6 +27,9 @@ class dht_22(background_task):
def __init__(self, gpio, data_callback=None):
self.__data_callback__ = data_callback
self.__temp_monitor__ = gradient_monitor(.5, 'DHT Temperature')
self.__hum_monitor__ = gradient_monitor(5, 'DHT Humidity')
self.__monitor__ = dht_22_monitor(300)
# Initial the dht device, with data pin connected to:
if not DEBUG:
@ -37,13 +40,19 @@ class dht_22(background_task):
def __run__(self):
data = self.__dht_data_transmission__()
if data is not None:
logger.debug('DHT-Communication: Successfully: %s', repr(data))
self.__monitor__.process(data)
if self.__data_callback__ is not None:
self.__data_callback__(**data)
if self.__monitor__.status():
logger.warning("DHT measurement stopped caused by too many identical values!")
self.close()
# check data
if self.__temp_monitor__.process(data[self.KEY_TEMPERATURE], data[self.KEY_TIME]) and self.__hum_monitor__.process(data[self.KEY_HUMIDITY], data[self.KEY_TIME]):
#
logger.debug('DHT-Communication: Successfully: %s', repr(data))
self.__monitor__.process(data)
if self.__data_callback__ is not None:
self.__data_callback__(**data)
if self.__monitor__.status():
logger.warning("DHT measurement stopped caused by too many identical values!")
self.close()
else:
logger.warning("DHT-Gradient to high: Ignoring data %s!", repr(data))
def __dht_data_transmission__(self):
@ -60,7 +69,7 @@ class dht_22(background_task):
time.sleep(self.RUN_SLEEP_TIME)
except RuntimeError as error:
# Errors happen fairly often, DHT's are hard to read, just keep going
logger.info('DHT-Communication: ' + error.args[0])
logger.debug('DHT-Communication: ' + error.args[0])
time.sleep(2.0)
except Exception as error:
self.__dht_device__.exit()
@ -73,6 +82,24 @@ class dht_22(background_task):
}
class gradient_monitor(object):
def __init__(self, max_gradient):
self.__max_gradient__ = max_gradient
#
self.__last_value__ = None
self.__last_time__ = None
def process(self, value, time):
rv = True
if self.__last_value__ is not None and self.__last_time__ is not None:
gradient = abs((value - self.__last_value__) / (time - self.__last_time__))
if gradient > self.__max_gradient__:
rv = False
self.__last_value__ = value
self.__last_time__ = time
return rv
class dht_22_monitor(object):
def __init__(self, max_const_treshold=250):
self.__max_const_treshold__ = max_const_treshold
@ -97,8 +124,6 @@ class dht_22_monitor(object):
if self.__current_const_measurements__ > self.__max_const_measurements__:
self.__max_const_measurements__ = self.__current_const_measurements__
else:
if self.__current_const_measurements__ >= self.__max_const_measurements__:
logger.warning('%d identical data measurements identified!', self.__max_const_measurements__)
self.__init_statevars__()
if self.__max_const_measurements__ > self.__max_const_treshold__:
if not self.__fail__: