def getFrame():
raw_data = {
"linux_time": (time.time()),
"a_x": round(motion.accelerometer().x, roundOff),
"a_y": round(motion.accelerometer().y, roundOff)
}
frame.append(raw_data)
def getFrame():
raw_data = { "time" : (time.time()),
"flight_mode": 0,
"squib_deployed": 0,
"a_x": round(motion.accelerometer().x, roundOff),
"a_y": round(motion.accelerometer().y, roundOff),
"a_z": round(motion.accelerometer().z, roundOff),
"temp": round(weather.temperature(), roundOff),
"pressure": round(weather.pressure(), roundOff),
"s1": round(ina219A.getShuntVoltage_mV(), roundOff),
"volt_b1": round(ina219A.getBusVoltage_V(), roundOff),
"current_1": round(ina219A.getCurrent_mA(), roundOff),
"s2": round(ina219B.getShuntVoltage_mV(), roundOff),
"volt_b2": round(ina219B.getBusVoltage_V(), roundOff),
"current_2": round(ina219B.getCurrent_mA(), roundOff),
"gps_lat" : 12,
"gps_lon" : 13,
"gps_alt" : 14,
"gps_spd" : 15,
#"gps_lat": round(gpsd.fix.latitude, roundOff),
#"gps_lon": round(gpsd.fix.longitude, roundOff),
#"gps_alt": round(gpsd.fix.altitude, roundOff),
#"gps_spd": round(gpsd.fix.speed, roundOff),
"mag_x": round(motion.magnetometer().x, roundOff),
"mag_y": round(motion.magnetometer().y, roundOff),
"mag_z": round(motion.magnetometer().z, roundOff)
}
frame.append(raw_data)
def update(self):
"""Get the latest data from Enviro pHAT."""
from envirophat import analog, leds, light, motion, weather
# Light sensor reading: 16-bit integer
self.light = light.light()
if self.use_leds:
# pylint: disable=no-value-for-parameter
leds.on()
# the three color values scaled agains the overall light, 0-255
self.light_red, self.light_green, self.light_blue = light.rgb()
if self.use_leds:
# pylint: disable=no-value-for-parameter
leds.off()
# accelerometer readings in G
self.accelerometer_x, self.accelerometer_y, self.accelerometer_z = \
motion.accelerometer()
# raw magnetometer reading
self.magnetometer_x, self.magnetometer_y, self.magnetometer_z = \
motion.magnetometer()
# temperature resolution of BMP280 sensor: 0.01°C
self.temperature = round(weather.temperature(), 2)
# pressure resolution of BMP280 sensor: 0.16 Pa, rounding to 0.1 Pa
# with conversion to 100 Pa = 1 hPa
self.pressure = round(weather.pressure() / 100.0, 3)
# Voltage sensor, reading between 0-3.3V
self.voltage_0, self.voltage_1, self.voltage_2, self.voltage_3 = \
analog.read_all()
def sbc_rpi0_envirophat():
update = {}
update["phatlightrgb"] = light.rgb()
update["phatlight"] = light.light()
update["phattemperature"] = round(weather.temperature(), 1)
update["phatpressure"] = round(weather.pressure(unit='hPa'), 1)
update["phataltitude"] = round(weather.altitude(qnh=1020), 1)
update["phatanalog"] = analog.read_all()
update["phatmagnetometer"] = str(motion.magnetometer())
update["phataccelerometer"] = str(motion.accelerometer())
update["phatheading"] = round(motion.heading(), 1)
update["soiltemp"] = round(
therm200_convert_analog(update["phatanalog"][2]), 1)
update["soilmoist"] = round(vh400_convert_analog(update["phatanalog"][1]),
1)
update["relhum"] = round(vghumid_convert_analog(update["phatanalog"][0]),
1)
(result, mid) = mqttc.publish(hass_autogen_topic + "/" + cid + "/state",
json.dumps(update),
qos=1,
retain=True)
return update
def disp_stats():
write("--- Enviro pHAT Monitoring ---")
rgb = light.rgb()
analog_values = analog.read_all()
mag_values = motion.magnetometer()
acc_values = [round(x, 2) for x in motion.accelerometer()]
# DHT Type 11, Pin 17 (Line 41 Github)
humidity, temp2 = Adafruit_DHT.read_retry(11, 17)
currentDT = datetime.datetime.now()
output = """
Time: {tm}; Temp: {t}c; Plant Temp: {t2}c; Humd: {hd}%; Pressure: {p}Pa; Light: {c}, RGB: {r}, {g}, {b}; Soil: {a0}%
""".format(tm=currentDT.strftime("%Y-%m-%d %H:%M:%S"),
t=abs(weather.temperature() * 9 / 5.0 + 32),
t2=abs((temp2 * 9 / 5.0 + 32)),
hd=round(humidity, 0),
p=round(weather.pressure(), 0),
c=light.light(),
r=rgb[0],
g=rgb[1],
b=rgb[2],
h=motion.heading(),
a0=round((analog_values[0] * 100) / 434, 2) * 100,
a1=analog_values[1],
a2=analog_values[2],
a3=analog_values[3],
mx=mag_values[0],
my=mag_values[1],
mz=mag_values[2],
ax=acc_values[0],
ay=acc_values[1],
az=acc_values[2])
#output = output.replace("\n","\n\033[K")
write(output)
def update(self):
"""Get the latest data from Enviro pHAT."""
from envirophat import analog, leds, light, motion, weather
# Light sensor reading: 16-bit integer
self.light = light.light()
if self.use_leds:
# pylint: disable=no-value-for-parameter
leds.on()
# the three color values scaled agains the overall light, 0-255
self.light_red, self.light_green, self.light_blue = light.rgb()
if self.use_leds:
# pylint: disable=no-value-for-parameter
leds.off()
# accelerometer readings in G
self.accelerometer_x, self.accelerometer_y, self.accelerometer_z = \
motion.accelerometer()
# raw magnetometer reading
self.magnetometer_x, self.magnetometer_y, self.magnetometer_z = \
motion.magnetometer()
# temperature resolution of BMP280 sensor: 0.01°C
self.temperature = round(weather.temperature(), 2)
# pressure resolution of BMP280 sensor: 0.16 Pa, rounding to 0.1 Pa
# with conversion to 100 Pa = 1 hPa
self.pressure = round(weather.pressure() / 100.0, 3)
# Voltage sensor, reading between 0-3.3V
self.voltage_0, self.voltage_1, self.voltage_2, self.voltage_3 = \
analog.read_all()
def run(self):
print '[CarMonitor::EnviroPoller] Starting...'
try:
while not self.stopRequest.isSet():
temperature = weather.temperature()
pressure = weather.pressure()
accelerometer = motion.accelerometer()
magnetometer = motion.magnetometer()
heading = motion.heading()
self.enviroData = {
'temperature': temperature,
'pressure': pressure,
'accelerometer': {
'x': accelerometer.x,
'y': accelerometer.y,
'z': accelerometer.z
},
'magnetometer': {
'x': magnetometer.x,
'y': magnetometer.y,
'z': magnetometer.z
},
'heading': heading
}
time.sleep(.5)
except StopIteration:
pass
def track(init_heading, i, motor, prev):
acc = motion.accelerometer()
heading = (motion.heading() + i) % 360
# handle tilt
tilt = math.floor(90 * acc[0])
if tilt > 90:
tilt = 90
elif tilt < -90:
tilt = -90
if prev[0] is None or abs(tilt - prev[0]) > 3:
motor.tilt(tilt)
else:
tilt = prev[0]
# handle pan
heading = heading - init_heading
if heading < -90:
heading = -90
elif heading > 90:
heading = 90
if prev[1] is None or abs(heading - prev[1]) > .5:
motor.pan(heading)
else:
heading = prev[1]
return (tilt, heading)
def update_sensor_data(self):
"""Pretend to read the device's sensor data.
If the fan is on, assume the temperature decreased one degree,
otherwise assume that it increased one degree.
"""
#self.proximity = self.sensor.proximity
#self.ambient_lux = self.sensor.ambient_lux
self.accel_x, self.accel_y, self.accel_z = motion.accelerometer()
def getFrame():
raw_data = { "linux_time" : (time.time()),
"a_x": round(motion.accelerometer().x, roundOff),
"a_y": round(motion.accelerometer().y, roundOff),
"a_z": round(motion.accelerometer().z, roundOff),
"t": round(weather.temperature(), roundOff),
"p": round(weather.pressure(), roundOff),
"s1": round(ina219A.getShuntVoltage_mV(), roundOff),
"b1": round(ina219A.getBusVoltage_V(), roundOff),
"c1": round(ina219A.getCurrent_mA(), roundOff),
"s2": round(ina219B.getShuntVoltage_mV(), roundOff),
"b2": round(ina219B.getBusVoltage_V(), roundOff),
"c2": round(ina219B.getCurrent_mA(), roundOff),
"lat": round(gpsd.fix.latitude, roundOff),
"lon": round(gpsd.fix.longitude, roundOff),
"alt": round(gpsd.fix.altitude, roundOff),
"sp": round(gpsd.fix.speed, roundOff)}
frame.append(raw_data)
def writedata():
with open(folder + 'meta.csv', 'a') as meta:
writer = csv.writer(meta)
timestamp = time.strftime("%Y-%m-%d %H:%M:%S", time.gmtime())
altitude = round(weather.altitude() + 90, 2)
temperature = round(weather.temperature(), 2)
heading = motion.heading()
accx = round(motion.accelerometer()[0], 2)
accy = round(motion.accelerometer()[1], 2)
accz = round(motion.accelerometer()[2], 2)
red = light.rgb()[0]
green = light.rgb()[1]
blue = light.rgb()[2]
newrow = [
"{:04}".format(index), timestamp, altitude, temperature, red,
green, blue, heading, accx, accy, accz
]
print newrow
writer.writerow(newrow)
def motion_detector(threshold=0.1):
# adapted from https://github.com/pimoroni/enviro-phat/blob/master/examples/motion_detect.py
from envirophat import motion
from collections import deque
readings = deque(maxlen=4)
last_z = 0
while True:
readings.append(motion.accelerometer().z)
z = sum(readings) / len(readings)
yield last_z > 0 and abs(z - last_z) > threshold
last_z = z
def get_sensor_data():
data = {}
data['analog'] = analog.read_all()
data['accelerometer'] = tuple(motion.accelerometer())
data['heading'] = motion.heading()
data['leds'] = leds.is_on()
data['light'] = light.light()
data['rgb'] = light.rgb()
data['pressure'] = weather.pressure()
data['temperature'] = weather.temperature()
return data
def publish_sensor_data(hostname, root):
messages = []
for i, data in enumerate(analog.read_all()):
messages.append(('%s/analog/%d' % (root, i), str(data), 0, True))
messages.append((root+'/light/light', str(light.light()), 0, True))
messages.append((root+'/light/rgb', str(light.rgb()), 0, True))
messages.append((root+'/motion/accelerometer', str(motion.accelerometer()), 0, True))
messages.append((root+'/motion/heading', str(motion.heading()), 0, True))
messages.append((root+'/weather/pressure', str(weather.pressure()), 0, True))
messages.append((root+'/weather/temperature', str(weather.temperature()), 0, True))
publish.multiple(messages), hostname=hostname)
def main():
if DEVICE_ID == None:
print("M_TSUNAMI_DEVICE_ID is not set.")
return
if TOKEN == None:
print("M_TSUNAMI_TOKEN is not set.")
return
print("Press Ctrl+C to exit.")
data = [[],[],[]]
last_d = [-1,-1,-1]
started = -1
started_at = None
try:
while True:
v = motion.accelerometer()
data[0].append(v.x)
data[1].append(v.y)
data[2].append(v.z)
shaked = False
for i in range(3):
data[i] = data[i][-DATA_MAX:]
if len(data[i]) < DETECT_NUM: continue
d = sum(data[i][-DETECT_NUM:]) / DETECT_NUM
if last_d[i] > 0 and abs(d - last_d[i]) > DETECT_THRESH:
shaked = True
last_d[i] = d
if shaked:
started = DETECT_NOOP
if started_at == None:
started_at = time.time()
print("detected the quake!")
leds.on()
time.sleep(DETECT_INTERVAL)
started -= 1
if started == 0:
elapsed = time.time() - started_at
sp,ss = strength(data,int(elapsed / DETECT_INTERVAL))
msg = "An earthquake detected! %.2f P:%.2f S:%.2f" % (elapsed,sp,ss)
print(msg)
started_at = None
leds.off()
if elapsed > RAILS_THRESH:
q = {'quake[elapsed]': elapsed, 'quake[p]': sp, 'quake[s]': ss, 'quake[device_id]': DEVICE_ID, 'token': TOKEN}
r = requests.post(RAILS_WEBHOOK, data = q)
print(r)
if SLACK_WEBHOOK and elapsed > SLACK_THRESH:
requests.post(SLACK_WEBHOOK, data = json.dumps({
'text': msg ,
}))
except KeyboardInterrupt:
leds.off()
def run_measurements(client):
"""Measures accelerometer activity continously and stores an aggregated sum once per minute"""
print_sample_time = 60 # How often data will be published to InfluxDB [seconds]
last_print_time = datetime.datetime.now()
limit = 350 # Minimum distance between two subsequent measurements to be counted as activity. [G]
last_sample_x = 0
last_sample_y = 0
last_sample_z = 0
activity_x = 0
activity_y = 0
activity_z = 0
leds.on() # Turn on LEDs to indicate measurement
try:
while True:
x, y, z = motion.accelerometer()
if x > limit:
activity_x += x
if y > limit:
activity_y += y
if z > limit:
activity_z += z
# Probably unnecessary
# x_dist = x - last_sample_x
# y_dist = y - last_sample_y
# z_dist = z - last_sample_z
#
# if x_dist > limit:
# activity_x += x_dist
# if y_dist > limit:
# activity_y += y_dist
# if z_dist > limit:
# activity_z += z_dist
time_dist = datetime.datetime.now() - last_print_time
if time_dist.total_seconds() >= print_sample_time:
last_print_time = datetime.datetime.now()
activity_tot = activity_x + activity_y + activity_z
temp = weather.temperature()
publish_data(client, activity_tot, temp)
activity_x = 0
activity_y = 0
activity_z = 0
except KeyboardInterrupt:
leds.off() # Shut off LEDs
out.close() # Close log
client.close() # Close influx connection
def __getAcceleration(self):
"""
Read acceleration in UNITS??? for (x,y,z) axis.
Returns
-------
touple
Acceleration touple (x,y,z) in UNITS???
"""
try:
value = motion.accelerometer()
except:
DinoLog.logMsg("ERROR - Envirophat fail to read acceleration.")
value = (None, None, None)
return value
def getSensorData():
sensors = {}
t = datetime.datetime.now()
sensors["timestamp"] = str(t.strftime('%Y%m%d %H:%M'))
sensors["device_name"] = "YOUR DEVICE NAME"
sensors["city"] = 'YOUR CITY'
sensors["lng"] = 'YOUR LONGITUDE'
sensors["lat"] = 'YOUR LATITUDE'
sensors["lux"] = light.light()
leds.on()
sensors["rgb"] = str(light.rgb())[1:-1].replace(' ', '')
leds.off()
sensors["accel"] = str(motion.accelerometer())[1:-1].replace(' ', '')
sensors["heading"] = motion.heading()
sensors["temperature"] = weather.temperature()
sensors["pressure"] = weather.pressure()
return sensors
def idle_work():
global last_hf_time, last_lf_time
now = time.time()
if hf_enabled and (now - last_hf_time > hf_interval):
mag = motion.magnetometer()
accel = motion.accelerometer()
h = motion.heading()
print "X%0.10f,%0.10f,%0.10f,%d,%d,%0d,%0.2f".format(
accel.x, accel.y, accel.z, mag.x, mag.y, mag.z, h)
last_hf_time = now
if lf_enabled and (now - last_lf_time > lf_interval):
t = round(weather.temperature(), 2)
p = round(weather.pressure(), 2)
c = light.light()
r = rgb[0]
g = rgb[1]
b = rgb[2]
print "Y%0.2f,%0.2f,%d,%d,%d,,%d".format(t, p, c, r, g, b)
last_lf_time = now
def main():
print("Press Ctrl+C to exit.")
data = [[],[],[]]
last_d = [-1,-1,-1]
started = -1
started_at = None
try:
while True:
v = motion.accelerometer()
data[0].append(v.x)
data[1].append(v.y)
data[2].append(v.z)
shaked = False
for i in range(3):
data[i] = data[i][-DATA_MAX:]
if len(data[i]) < DETECT_NUM: continue
d = sum(data[i][-DETECT_NUM:]) / DETECT_NUM
if last_d[i] > 0 and abs(d - last_d[i]) > DETECT_THRESH:
shaked = True
last_d[i] = d
if shaked:
started = DETECT_NOOP
if started_at == None:
started_at = time.time()
print("detected the quake!")
leds.on()
time.sleep(DETECT_INTERVAL)
started -= 1
if started == 0:
elapsed = time.time() - started_at
sp,ss = strength(data,int(elapsed / DETECT_INTERVAL))
msg = "An earthquake detected! %.2f P:%.2f S:%.2f" % (elapsed,sp,ss)
print(msg)
started_at = None
leds.off()
if SLACK_WEBHOOK and elapsed > SLACK_THRESH:
requests.post(SLACK_WEBHOOK, data = json.dumps({
'text': msg ,
}))
except KeyboardInterrupt:
leds.off()
def train(self, training_type):
if os.path.isfile("training_data_" + training_type + ".npy"):
old_data = numpy.load("training_data_" + training_type + ".npy")
training_data_temp = old_data.tolist()
else:
training_data_temp = []
try:
last_accel = numpy.array([float(0),float(0),float(0)])
while True:
time.sleep(self.delay)
x,y,z = motion.accelerometer()
current_accel = numpy.array([x,y,z])
jerk = self.calculate_jerk(current_accel, last_accel, self.delay)
training_data_temp.append(jerk)
# absolute_value = numpy.linalg.norm(acceleration)
print("|{}|".format(jerk))
except KeyboardInterrupt:
training_data = numpy.array(training_data_temp)
numpy.save("training_data_" + training_type, training_data)
def process_accel_req(message):
global accel_sub
global accel_sub_rate
global accel_sub_ticks
if message_list[3] == 'CMD=READ':
# Get the values
s_x, s_y, s_z = motion.accelerometer()
# format the message
message = "SENSOR_REP,DEV=ENVIRO_PHAT,SUB_DEV=ACCEL,X=%.2f,Y=%.2f,Z=%.2f,SENSOR_REP_END" % (s_x,s_y,s_z)
elif message_list[3] == 'CMD=SUB_START':
rate_message_list = message_list[4].split('=')
if rate_message_list[0] == 'RATE':
rate = int(rate_message_list[1])
if rate < 250:
accel_sub_rate = 250
else:
accel_sub_rate = rate
accel_sub_ticks = 0
accel_sub = True
# SENSOR_REQ,DEV=ENVIRO_PHAT,SUB_DEV=ACCEL,CMD=SUB_START,RATE=1000,SENSOR_REQ_END
# SENSOR_REP,DEV=ENVIRO_PHAT,SUB_DEV=ACCEL,STATUS=OK|BUSY,SENSOR_REP_END
message = "SENSOR_REP,DEV=ENVIRO_PHAT,SUB_DEV=ACCEL,STATUS=OK,SENSOR_REP_END"
elif message_list[3] == 'CMD=SUB_STOP':
accel_sub = False
accel_sub_rate = 0
accel_sub_ticks = 0
# SENSOR_REQ,DEV=ENVIRO_PHAT,SUB_DEV=ACCEL,CMD=SUB_STOP,SENSOR_REQ_END
# SENSOR_REP,DEV=ENVIRO_PHAT,SUB_DEV=ACCEL,STATUS=OK,SENSOR_REP_END
message = "SENSOR_REP,DEV=ENVIRO_PHAT,SUB_DEV=ACCEL,STATUS=OK,SENSOR_REP_END"
else:
# unknown Command
message = "SENSOR_REP," + message_list[1] + ",SUB_DEV=ACCEL,ERROR=UNKNOWN_CMD,SENSOR_REP_END"
# Send reply back to client
return message
def _get_data():
light_values = {
'sensor_type': 'TCS3472',
'level': light.light(),
**dict(zip(["red", "green", "blue"], light.rgb()))
}
weather_values = {
'sensor_type': 'BMP280',
'altitude': weather.altitude(), # meters
'pressure': round(weather.pressure("Pa"), 2), # pascals
'temperature': round(weather.temperature(), 2) # celcius
}
motion_values = {
'sensor_type':
'LSM303D',
**dict(
zip(["acceleration_x", "acceleration_y", "acceleration_z"], [
round(x, 2) for x in motion.accelerometer()
])), # x, y and z acceleration as a vector in Gs.
'heading':
motion.heading(),
**dict(
zip(["magnetic_field_x", "magnetic_field_y", "magnetic_field_z"],
motion.magnetometer())) # raw x, y and z magnetic readings as a vector.
}
analog_values = {
'sensor_type': 'ADS1015',
**{"channel_%i" % k: v
for k, v in enumerate(analog.read_all())}
}
data = {
'created_at': datetime.utcnow().isoformat() + 'Z',
'light': light_values,
'weather': weather_values,
'motion': motion_values,
'analog': analog_values
}
return data
def readdata():
leds.on()
rgb = light.rgb()
analog_values = analog.read_all()
mag_values = motion.magnetometer()
acc_values = [round(x, 2) for x in motion.accelerometer()]
ts = time.time()
timestamp = datetime.datetime.fromtimestamp(ts).strftime(
'%Y-%m-%d %H:%M:%S')
data = {}
data['altitude'] = weather.altitude()
data['temperature'] = weather.temperature()
data['pressure'] = weather.pressure(unit=unit)
data['lux'] = light.light()
data['red'] = rgb[0]
data['green'] = rgb[1]
data['blue'] = rgb[2]
data['heading'] = motion.heading()
data['timestamp'] = timestamp
leds.off()
return data
#!/usr/bin/env python
import time
from envirophat import motion, leds
print("""This example will detect motion using the accelerometer.
Press Ctrl+C to exit.
""")
threshold = 0.2
readings = []
last_z = 0
try:
while True:
readings.append(motion.accelerometer().z)
readings = readings[-4:]
z = sum(readings) / len(readings)
if last_z > 0 and abs(z-last_z) > threshold:
print("Motion Detected!!!")
leds.on()
last_z = z
time.sleep(0.01)
leds.off()
except KeyboardInterrupt:
pass
unit = 'hPa' # Pressure unit, can be either hPa (hectopascals) or Pa (pascals)
def write(line):
sys.stdout.write(line)
sys.stdout.flush()
write("--- DJRFF pHAT Monitoring ---")
try:
while True:
rgb = light.rgb()
mag_values = motion.magnetometer()
acc_values = [round(x, 2) for x in motion.accelerometer()]
output = """
Temp: {t:.2f}c
Pressure: {p:.2f}{unit}
Altitude: {a:.2f}m
Light: {c}
RGB: {r}, {g}, {b}
Heading: {h}
Magnetometer: {mx} {my} {mz}
Accelerometer: {ax}g {ay}g {az}g
""".format(
unit=unit,
a=weather.altitude(
), # Supply your local qnh for more accurate readings
t=weather.temperature(),
def acceleration(self):
return motion.accelerometer()
last_d = [-1,-1,-1]
started = -1
started_at = None
## TODO: 揺れ終わり後、フーリエ変換を使って、震度を求める
# 気象庁
# https://www.data.jma.go.jp/svd/eqev/data/kyoshin/kaisetsu/calc_sindo.htm
# FFT
# https://momonoki2017.blogspot.com/2018/03/pythonfft-1-fft.html
def stlength(data):
fx = np.abs(np.fft.fft(data[0]))[len(data[0])/2+1:]
return 1.0
try:
while True:
v = motion.accelerometer()
data[0].append(v.x)
data[1].append(v.y)
data[2].append(v.z)
shaked = False
for i in range(3):
data[i] = data[i][-DATA_MAX:]
if len(data[i]) < DETECT_NUM: continue
d = sum(data[i][-DETECT_NUM:]) / DETECT_NUM
if last_d[i] > 0 and abs(d - last_d[i]) > DETECT_THRESH:
shaked = True
last_d[i] = d
if shaked:
started = DETECT_NOOP
if started_at == None:
started_at = time.time()
dotenv_path = join(dirname(__file__), '.env')
load_dotenv(dotenv_path)
DEBUG = os.getenv('DEBUG', None)
MONGO_DB_URL = os.getenv('MONGO_DB')
parser = argparse.ArgumentParser()
parser.add_argument('--location',
default='Unkown',
help='Location to descibe where the Pi is')
args = parser.parse_args()
leds.on()
rgb = str(light.rgb())[1:-1].replace(' ', '')
leds.off()
acc = str(motion.accelerometer())[1:-1].replace(' ', '')
data = {
'location': args.location,
'time': datetime.utcnow().isoformat(),
'light': light.light(),
'rgb': rgb,
'motion': acc,
'heading': motion.heading(),
'temp': weather.temperature(),
'pressure': weather.pressure(),
}
# json_data = json.dumps(data)
# print(json_data)
# FSYS - Alexander St.
# This Flight System has the following purpose:
# Supplying pressure, accelaration and heading data from Enviro pHAT to a file
from envirophat import motion, weather
from datetime import datetime
t = open('FlightRecord', 'a')
while True:
t.write("\n " + str(datetime.now().time()))
t.write("\n " + str(weather.pressure()))
t.write("\n " + str(weather.altitude()))
t.write("\n " + str(motion.accelerometer()))
t.write("\n " + str(motion.heading()))
t.write("\n ")
t.close()
from envirophat import light, motion, weather, leds
# define credentials in secret.py file
# ADAFRUIT_IO_KEY = ""
from secret import *
# Create an instance of the REST client.
aio = Client(ADAFRUIT_IO_USER, ADAFRUIT_IO_KEY)
print('Start uploading to Adafruit IO')
try:
while True:
now = datetime.utcnow()
lux = light.light()
leds.on()
r,g,b = light.rgb()
leds.off()
acc = motion.accelerometer()
heading = motion.heading()
temp = weather.temperature()
press = weather.pressure(unit='hPa')
aio.send('env1-lux', lux)
aio.send('env1-temp', temp)
aio.send('env1-press', press)
print("Posted to Adafruit IO: {:.2f}, {:.2f}, {:.2f}".format(lux, temp, press))
time.sleep(60)#yyyy-MM-dd HH:mm:ss
except KeyboardInterrupt:
leds.off()
print('Stopped uploading to Adafruit IO')
from envirophat import light, weather, motion, analog
def write(line):
sys.stdout.write(line)
sys.stdout.flush()
write("--- Enviro pHAT Monitoring ---")
try:
while True:
rgb = light.rgb()
analog_values = analog.read_all()
mag_values = motion.magnetometer()
acc_values = [round(x,2) for x in motion.accelerometer()]
output = """
Temp: {t}c
Pressure: {p}Pa
Light: {c}
RGB: {r}, {g}, {b}
Heading: {h}
Magnetometer: {mx} {my} {mz}
Accelerometer: {ax}g {ay}g {az}g
Analog: 0: {a0}, 1: {a1}, 2: {a2}, 3: {a3}
""".format(
t = round(weather.temperature(),2),
p = round(weather.pressure(),2),
c = light.light(),
exit("This script requires the envirophat module\nInstall with: sudo pip install envirophat")
import blinkt
offset = 0
direction = 0
t = []
t_start = 0
total_time = 1000
def millis():
return int(round(time.time() * 1000))
while True:
x, y, z = motion.accelerometer()
print(y)
if y < -1.9 and not direction == -1:
direction = -1
t.append(millis() - t_start)
t_start = millis()
t = t[-5:]
if y > 1.9 and not direction == 1:
direction = 1
t.append(millis() - t_start)
t_start = millis()
t = t[-5:]
if len(t) > 0:
def get_accelerometer_instant():
return motion.accelerometer()
mqtt_client = mqtt.Client("DRYOT")
mqtt_client.connect(mqtt_broker_addr)
try:
while True:
start_time = time.time()
#
# First, collect samples from the accelerometer
# This works well for my dryer, but you might need to change this
# if yours is smoother. I have tried it all the way up to 100 samples
# per second with no real performance issues. But samples pretty much
# work for my dryer.
#
motion_detected = 0
for x in range (0,samples_per_sec):
accel_z = motion.accelerometer().z
# print ('Z = ', accel_z)
readings.append(accel_z)
readings = readings[-4:]
z = sum(readings) / len(readings)
if last_z > 0 and abs(z-last_z) > sensor_threshold:
motion_detected = 1
last_z = z
# Make sure this delay matches the number of samples per second
time.sleep(loop_delay)
#
# Get light and temperature data
#
light_level = light.light()
temp = weather.temperature()
#!/usr/bin/env python
from envirophat import light, motion, weather, analog, leds
import time
while True:
print("LEDs on...")
leds.on()
time.sleep(1)
print("LEDs off...")
leds.off()
print("Light...")
print(light.rgb())
print("Motion...")
print(motion.heading())
print(motion.magnetometer())
print(motion.accelerometer())
print("Weather...")
print(weather.temperature())
print(weather.pressure())
print("Analog...")
print(analog.values())
time.sleep(1)
import time
from colorsys import hsv_to_rgb
import math
offset = 0
direction = 0
t = []
t_start = 0
total_time = 1000
def millis():
return int(round(time.time() * 1000))
while True:
x, y, z = motion.accelerometer()
print(y)
if y < -1.9 and not direction == -1:
direction = -1
t.append(millis() - t_start)
t_start = millis()
t = t[-5:]
if y > 1.9 and not direction == 1:
direction = 1
t.append(millis() - t_start)
t_start = millis()
t = t[-5:]
if len(t) > 0: