我正在尝试在树莓派中同时实现运动传感器和脉冲传感器。我是python的新手，我尝试过合并它们，但是只有运动传感器可以工作。
这里是PIR动作感测器（PIR.py）的代码：
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
GPIO.setup(23, GPIO.IN) #PIR
GPIO.setup(24, GPIO.OUT) #BUzzer
try:
time.sleep(2) # to stabilize sensor
while True:
if GPIO.input(23):
GPIO.output(24, True)
time.sleep(0.5) #Buzzer turns on for 0.5 sec
GPIO.output(24, False)
print("Motion Detected...")
time.sleep(5) #to avoid multiple detection
time.sleep(0.1) #loop delay, should be less than detection delay
except:
GPIO.cleanup()
以及脉冲传感器的代码（heartBeats.py）：
# Simple heart beat reader for Raspberry pi using ADS1x15 family of ADCs and a pulse sensor - http://pulsesensor.com/.
# The code borrows heavily from Tony DiCola's examples of using ADS1x15 with
# Raspberry pi and WorldFamousElectronics's code for PulseSensor_Amped_Arduino
# Author: Udayan Kumar
# License: Public Domain
import time
# Import the ADS1x15 module.
import Adafruit_ADS1x15
if __name__ == '__main__':
adc = Adafruit_ADS1x15.ADS1015()
# initialization
GAIN = 2/3
curState = 0
thresh = 525 # mid point in the waveform
P = 512
T = 512
stateChanged = 0
sampleCounter = 0
lastBeatTime = 0
firstBeat = True
secondBeat = False
Pulse = False
IBI = 600
rate = [0]*10
amp = 100
lastTime = int(time.time()*1000)
# Main loop. use Ctrl-c to stop the code
while True:
# read from the ADC
Signal = adc.read_adc(0, gain=GAIN) #TODO: Select the correct ADC channel. I have selected A0 here
curTime = int(time.time()*1000)
sampleCounter += curTime - lastTime; # # keep track of the time in mS with this variable
lastTime = curTime
N = sampleCounter - lastBeatTime; # # monitor the time since the last beat to avoid noise
#print N, Signal, curTime, sampleCounter, lastBeatTime
## find the peak and trough of the pulse wave
if Signal < thresh and N > (IBI/5.0)*3.0 : # # avoid dichrotic noise by waiting 3/5 of last IBI
if Signal < T : # T is the trough
T = Signal; # keep track of lowest point in pulse wave
if Signal > thresh and Signal > P: # thresh condition helps avoid noise
P = Signal; # P is the peak
# keep track of highest point in pulse wave
# NOW IT'S TIME TO LOOK FOR THE HEART BEAT
# signal surges up in value every time there is a pulse
if N > 250 : # avoid high frequency noise
if (Signal > thresh) and (Pulse == False) and (N > (IBI/5.0)*3.0) :
Pulse = True; # set the Pulse flag when we think there is a pulse
IBI = sampleCounter - lastBeatTime; # measure time between beats in mS
lastBeatTime = sampleCounter; # keep track of time for next pulse
if secondBeat : # if this is the second beat, if secondBeat == TRUE
secondBeat = False; # clear secondBeat flag
for i in range(0,10): # seed the running total to get a realisitic BPM at startup
rate[i] = IBI;
if firstBeat : # if it's the first time we found a beat, if firstBeat == TRUE
firstBeat = False; # clear firstBeat flag
secondBeat = True; # set the second beat flag
continue # IBI value is unreliable so discard it
# keep a running total of the last 10 IBI values
runningTotal = 0; # clear the runningTotal variable
for i in range(0,9): # shift data in the rate array
rate[i] = rate[i+1]; # and drop the oldest IBI value
runningTotal += rate[i]; # add up the 9 oldest IBI values
rate[9] = IBI; # add the latest IBI to the rate array
runningTotal += rate[9]; # add the latest IBI to runningTotal
runningTotal /= 10; # average the last 10 IBI values
BPM = 60000/runningTotal; # how many beats can fit into a minute? that's BPM!
print 'BPM: {}'.format(BPM)
if Signal < thresh and Pulse == True : # when the values are going down, the beat is over
Pulse = False; # reset the Pulse flag so we can do it again
amp = P - T; # get amplitude of the pulse wave
thresh = amp/2 + T; # set thresh at 50% of the amplitude
P = thresh; # reset these for next time
T = thresh;
if N > 2500 : # if 2.5 seconds go by without a beat
thresh = 512; # set thresh default
P = 512; # set P default
T = 512; # set T default
lastBeatTime = sampleCounter; # bring the lastBeatTime up to date
firstBeat = True; # set these to avoid noise
secondBeat = False; # when we get the heartbeat back
print "no beats found"
time.sleep(0.005)
我希望输出如下所示：
Motion Detected...
BPM: 54
BPM: 53
Motion Detected...
no beats found
谢谢您的帮助。
更新1：我试图使用这些函数一起运行传感器，但是，我必须强制编译器停止（ctrl + C）才能移至下一个函数。
import RPi.GPIO as GPIO
import time
import time
# Import the ADS1x15 module.
import Adafruit_ADS1x15
GPIO.setmode(GPIO.BCM)
GPIO.setup(23, GPIO.IN) #PIR
GPIO.setup(24, GPIO.OUT) #BUzzer
def pir_function():
print("This is the motion sensor")
try:
time.sleep(2) # to stabilize sensor
while True:
if GPIO.input(23):
GPIO.output(24, True)
time.sleep(0.5) #Buzzer turns on for 0.5 sec
GPIO.output(24, False)
print("Motion Detected...")
time.sleep(5) #to avoid multiple detection
time.sleep(0.1) #loop delay, should be less than detection delay
except:
GPIO.cleanup()
def heart_function():
adc = Adafruit_ADS1x15.ADS1015()
# initialization
GAIN = 2/3
curState = 0
thresh = 525 # mid point in the waveform
P = 512
T = 512
stateChanged = 0
sampleCounter = 0
lastBeatTime = 0
firstBeat = True
secondBeat = False
Pulse = False
IBI = 600
rate = [0]*10
amp = 100
lastTime = int(time.time()*1000)
# Main loop. use Ctrl-c to stop the code
while True:
# read from the ADC
Signal = adc.read_adc(0, gain=GAIN) #TODO: Select the correct ADC channel. I have selected A0 here
curTime = int(time.time()*1000)
sampleCounter += curTime - lastTime; # # keep track of the time in mS with this variable
lastTime = curTime
N = sampleCounter - lastBeatTime; # # monitor the time since the last beat to avoid noise
#print N, Signal, curTime, sampleCounter, lastBeatTime
## find the peak and trough of the pulse wave
if Signal < thresh and N > (IBI/5.0)*3.0 : # # avoid dichrotic noise by waiting 3/5 of last IBI
if Signal < T : # T is the trough
T = Signal; # keep track of lowest point in pulse wave
if Signal > thresh and Signal > P: # thresh condition helps avoid noise
P = Signal; # P is the peak
# keep track of highest point in pulse wave
# NOW IT'S TIME TO LOOK FOR THE HEART BEAT
# signal surges up in value every time there is a pulse
if N > 250 : # avoid high frequency noise
if (Signal > thresh) and (Pulse == False) and (N > (IBI/5.0)*3.0) :
Pulse = True; # set the Pulse flag when we think there is a pulse
IBI = sampleCounter - lastBeatTime; # measure time between beats in mS
lastBeatTime = sampleCounter; # keep track of time for next pulse
if secondBeat : # if this is the second beat, if secondBeat == TRUE
secondBeat = False; # clear secondBeat flag
for i in range(0,10): # seed the running total to get a realisitic BPM at startup
rate[i] = IBI;
if firstBeat : # if it's the first time we found a beat, if firstBeat == TRUE
firstBeat = False; # clear firstBeat flag
secondBeat = True; # set the second beat flag
continue # IBI value is unreliable so discard it
# keep a running total of the last 10 IBI values
runningTotal = 0; # clear the runningTotal variable
for i in range(0,9): # shift data in the rate array
rate[i] = rate[i+1]; # and drop the oldest IBI value
runningTotal += rate[i]; # add up the 9 oldest IBI values
rate[9] = IBI; # add the latest IBI to the rate array
runningTotal += rate[9]; # add the latest IBI to runningTotal
runningTotal /= 10; # average the last 10 IBI values
BPM = 60000/runningTotal; # how many beats can fit into a minute? that's BPM!
print 'BPM: {}'.format(BPM)
if Signal < thresh and Pulse == True : # when the values are going down, the beat is over
Pulse = False; # reset the Pulse flag so we can do it again
amp = P - T; # get amplitude of the pulse wave
thresh = amp/2 + T; # set thresh at 50% of the amplitude
P = thresh; # reset these for next time
T = thresh;
if N > 2500 : # if 2.5 seconds go by without a beat
thresh = 512; # set thresh default
P = 512; # set P default
T = 512; # set T default
lastBeatTime = sampleCounter; # bring the lastBeatTime up to date
firstBeat = True; # set these to avoid noise
secondBeat = False; # when we get the heartbeat back
print "no beats found"
time.sleep(0.005)
pir_function()
heart_function()
您不提您如何运行程序。我假设
python heartBeats.py
这将仅运行heartbeats.py。它不包含PIR.py，因此永远不会执行代码。我假设您希望两个循环或多或少同时运行或交替运行。
一种简单的方法是创建两个函数“ heartBeat”和“ motionDetect”，每个函数在heartBeats.py和PIR.py中执行循环的单个迭代，然后返回。在主循环中调用它们：
while True:
heartBeat()
motionDetect()
更复杂的方法是创建两个线程，一个线程运行PIR代码，另一个线程运行heartBeats代码。