混杂的RFID标签

时间:2015-06-13 16:45:41

标签: python raspberry-pi raspbian

我正在开展一个项目,我必须使用Raspberry Pi连接多个RFID阅读器(我正在使用EM 18,带有串口)。我正在使用USB转TTL转换器将EM 18连接到Raspberry Pi。我已经使用USB连接两个RFID阅读器到TTL适配器。 这是我的一个电台的代码

代码

import serial, time
while True:
    try:
        print 'station one Is Ready!! Please Show your Card'
                card_dataa = serial.Serial('/dev/ttyUSB0', 9600).read(12)
        print card_dataa
        continue
    except serial.SerialException:
        print 'Station 1 is Down'
    break

我的问题是

  1. 我想同时从同一个程序中读取两个RFID阅读器的读数。

  2. 我有两个带有上述代码的程序,station1.py和station2.py。

  3. Station1.py 用于USB0,而Station2.py用于USB1。 我正在同时在不同的终端执行程序。

    例如终端1中的station1.py和终端2中的station2.py。程序执行正常,但读数混乱。例如,6E0009D2CC79和4E0070792760是我用于测试的标签ID。如果我只执行一个程序,我正在正确读取,但如果我在两个终端同时执行两个程序,我会得到标签Id的混乱。

    1. 我想在同一个程序中合并两个读数。
    2. 先谢谢

2 个答案:

答案 0 :(得分:2)

我建议您根据需要创建一个新的Serial对象并多次读取:

import serial, time

try:
    station1 = serial.Serial('/dev/ttyUSB0', 9600)
    print 'station one Is Ready!! Please Show your Card'
except serial.SerialException:
        print 'Station 1 is Down'

while True:
    card_dataa = station1.read(12)
    print card_dataa

您可以选择将超时设置为0:

import serial, time

try:
    station1 = serial.Serial('/dev/ttyUSB0', 9600,timeout=0)
    print 'station one Is Ready!! Please Show your Card'
except serial.SerialException:
        print 'Station 1 is Down'

while True:
    card_dataa = station1.read(12)
    if len(card_dataa) > 0: print card_dataa

您还应该可以轻松地在同一程序中打开2个串行连接:

import serial, time

station1 = None
station2 = None

try:
    station1 = serial.Serial('/dev/ttyUSB0', 9600,timeout=0)
    print 'station 1 Is Ready!! Please Show your Card'
except Exception,e:
        print 'Station 1 is Down',e

try:
    station2 = serial.Serial('/dev/ttyUSB1', 9600,timeout=0)
    print 'station 2 Is Ready!! Please Show your Card'
except Exception,e:
        print 'Station 2 is Down',e


while True:
    if station1 != None:
        card_dataa1 = station1.read(12)
        if len(card_dataa1) > 0:    print card_dataa1
    if station2 != None:
        card_dataa2 = station2.read(12)
        if len(card_dataa2) > 0:    print card_dataa2

这意味着第二个读者会在打印前等待第一个读者完成,这就是fingaz推荐线程的原因。

这是线程概念的基本评论证明:

import threading,time,serial

#subclass threading.Thread
class RFIDSerialThread(threading.Thread):
    SLEEP_TIME = 0.001 #setup sleep time (update speed)
    #constructor with 3 parameters: serial port, baud and a label for this reader so it's easy to spot
    def __init__(self,port,baud,name): 
        threading.Thread.__init__(self) #initialize this instance as a thread
        self.isAlive = False #keep track if the thread needs to run(is setup and able to go) or not
        self.name = name     #potentially handy for debugging
        self.data = ""       #a placeholder for the data read via serial
        self.station = None  #the serial object property/variable
        try:
            self.station = serial.Serial(port,baud,timeout=0) #attempt to initialize serial
            self.isAlive = True #and flag the thread as running
        except Exception,e: 
            print name + " is Down",e #in case of errors print the message, including the station/serial port

    def run(self): #this gets executed when the thread is started
        while self.isAlive:
            if self.station != None:    self.data = self.station.read(12) #read serial data
            time.sleep(RFIDSerialThread.SLEEP_TIME)

if __name__ == '__main__':
    #initialize the two readers
    station1 = RFIDSerialThread('/dev/ttyUSB0',9600,"station #1")
    station2 = RFIDSerialThread('/dev/ttyUSB1',9600,"station #2")
    #start the threads
    station1.start()
    station2.start()

    while True:#continously print the data (if any)
        if len(station1.data) > 0:  print station1.name,station1.data
        if len(station2.data) > 0:  print station2.name,station2.data

请注意,我尚未附加实际硬件进行测试,因此可能无法正常工作,但应提供足够的信息以便进展。

我还建议尝试与读者保持距离。根据读者及其能力,他们可能互相干扰,这可能导致数据错误。如果您仍然遇到混乱数据的问题,我会尝试通过一些假设来找出问题所在。(例如问题是硬件(读卡器干扰,读卡器损坏,USB连接器松动等)或软件(串口未正确初始化/刷新/等),一次取出一件事)

答案 1 :(得分:0)

要拥有并发流,您可以使用threading模块。这是文档的链接:

https://docs.python.org/2/library/threading.html