def __init__(self, numSamples=50):
# Get measurements of the orientation change to account for bias
self.mpu = mpu9250()
# Make sure to use the minimum sampling rate
self.sampleTime = 1 / 200
self.biasCalculated = False
xDps = np.zeros((numSamples, 1))
yDps = np.zeros((numSamples, 1))
zDps = np.zeros((numSamples, 1))
takenCnt = 0
for i in range(0, numSamples):
gReading = self.getGyro()
xDps[i] = gReading[0]
yDps[i] = gReading[1]
zDps[i] = gReading[2]
self.xBias = np.average(xDps)
self.yBias = np.average(yDps)
self.zBias = np.average(zDps)
self.biasCalculated = True
def main():
global start_value
global data_max
# Initialize sensor with external library class.
sensor = mpu9250()
# Key taken from account.
API_KEY = "fb2dc4530995b2fe3d3f823a0fa35a5e8d635716"
# Name of channel.
CHANNEL_NAME = "JuicySeniorDesign"
# Create pushetta object.
p = Pushetta(API_KEY)
print('entering main loop...')
sys.stdout.flush()
while True:
# Get sensor data.
data = sensor.accel[2]
# Look at new max value.
if data > data_max:
print('New Maximum... {}'.format(data_max))
data_max = data
# Thresholding for alarm detection. Adjust magnitude for each axis.
if (data_max >= (start_value + Z_THRESHOLD)):
print('Sending out alert... {} {} {}'.format(
data_max, start_value, Z_THRESHOLD))
sys.stdout.flush()
alert(p, CHANNEL_NAME, sensor)
print('Done... {} {} {}'.format(data_max, start_value,
Z_THRESHOLD))
sys.stdout.flush()
Z_RESET = 1.8
# Push message until button press.
while (sensor.accel[2] < Z_RESET):
p.pushMessage(CHANNEL_NAME, "CHECK POOL!!!!")
time.sleep(2)
# Turn off alarm and reset threshold starting value.
time.sleep(15)
start_value = sensor.accel[2]
if __name__ == "__main__":
# Initialize sensor with external library class.
sensor = mpu9250()
# Key taken from account.
API_KEY = "fb2dc4530995b2fe3d3f823a0fa35a5e8d635716"
# Name of channel.
CHANNEL_NAME = "JuicySeniorDesign"
# Create pushetta object.
p = Pushetta(API_KEY)
data_max = 0
while True:
# Get sensor data.