运行Python代码PyVisa时Windows 10崩溃

如何解决运行Python代码PyVisa时Windows 10崩溃

我正在尝试使用Python 3.6和PyVisa库（版本1.11.1）从SR245 Boxcar自动收集数据。 9/10次，效果很好。但是，在两天内，有三次导致整个计算机崩溃并重新启动（在Windows 10上运行）。这导致了很多数据丢失，并且我试图找出我做错了什么导致整个系统崩溃。代码在下面（它是一个较大程序的一部分，但是我也自己运行这段代码，并且导致崩溃）。虽然未显示data_processing文件，但是其中的功能很简单（例如，将列表中的值除以另一个列表中的值，从整数列表中返回平均值，等等）

import pyvisa
from pyvisa.constants import SerialTermination
import time
import numpy as np
from data_processing import *


def connect_Boxcar(pNum):
    rm = pyvisa.ResourceManager()
    port = "COM"+pNum
    sr = rm.open_resource(port)
    return sr


def config_Boxcar(Boxcar):
    #Configure the Boxcar settings
    Boxcar.write_termination = '\r'
    Boxcar.read_termination='\r'
    Boxcar.baud_rate=19200
    Boxcar.end_output = SerialTermination.termination_char


def preset_scan(Boxcar):
    #Reset Boxcar settings
    Boxcar.write('MR')
    Boxcar.write('MS;ET;T1;I2;W0')


def scan(Boxcar,num):
    #Send the SCAN command to the Boxcar,set to the specified number of data points
    command = 'SC1,2:' + str(num)
    Boxcar.write(command)


def read_data(Boxcar,num):
    #Read the stored scan data and return it as a value list
    data_list = []
    for x in range(num * 2):
        data_list.append(float(Boxcar.query('N')))
    return data_list


def collect_baseline(Boxcar,n):
    #Get a baseline signal for later processing
    config_Boxcar(Boxcar)
    preset_scan(Boxcar)
    scan(Boxcar,n)
    raw_data = read_data(Boxcar,n)
    chan1 = raw_data[::2]
    chan2 = raw_data[1::2]
    normal_data = normalize(chan1,chan2,n)
    return average_list(normal_data)


def main():
    rm = pyvisa.ResourceManager()
    n = 10
    sleep_timer = 0.1 * n + 0.5
    sr245 = rm.open_resource('COM5')

    #Configure/preset
    config_Boxcar(sr245)
    preset_scan(sr245)

    #Set a timer to measure scanning time
    t0 = time.time()
    scan(sr245,n)

    time.sleep(sleep_timer)

    raw_data = read_data(sr245,n)
    t1 = time.time()

    #Breakdown data by channel and normalize
    chan1 = raw_data[::2]
    chan2 = raw_data[1::2]
    normal_data = normalize(chan1,n)

    elapsed_time = t1 - t0
    print('Elapsed time: ',elapsed_time)
    print('Channel 1: ',chan1)
    print('Channel 2: ',chan2)
    print('normalized Data: ',normal_data)
    print('Average normalized Data: ',average_list(normal_data))
    print('Standard Deviation: ',np.std(normal_data))


if __name__ == '__main__':
    main()