def main():
# 创建一个对象
ai_settings = Settings()
ai_settings.move_one_step_time = 18 #int(input("请输入移动一步的时间："))
ai_settings.move_two_step_time = 32 #int(input("请输入移动两步的时间："))
ai_settings.move_three_step_time = 46 #int(input("请输入移动三步的时间："))
ai_settings.CNC_work_time = 545 #int(input("请输入CNC的工作时间："))
ai_settings.RGV_up_even_time = 27 #int(input("请输入RGV给奇数CNC上下料的时间："))
ai_settings.RGV_up_odd_time = 32 #int(input("请输入RGV给偶数CNC上下料的时间："))
ai_settings.RGV_clear_time = 25 #int(input("请输入RGV清洗的时间："))
total_time = 0
number = 0
while total_time<=28800:
#搜索局部最优路径
[optimal_time, next_CNC, next_place] = OP.Optimal_Path(ai_settings)
#将以上变量封装到列表中去，方便显示
CNC_number.append(next_CNC)
OP1.append(optimal_time)
NP.append(next_place)
#总时间
total_time = total_time + optimal_time
#更新状态
fun.update_status(ai_settings, next_place, next_CNC, optimal_time)
RL.append(ai_settings.Locate_RGV)
#
number = number + 1
print('*************输出**************')
print(number-1)
print(CNC_number)
print(OP1)
print(RL)
print(NP)
print(total_time)
import function as fun
from settings import Settings
bi_settings = Settings()
bi_settings.move_one_step_time = 18 # int(input("请输入移动一步的时间："))
bi_settings.move_two_step_time = 32 # int(input("请输入移动两步的时间："))
bi_settings.move_three_step_time = 46 # int(input("请输入移动三步的时间："))
bi_settings.CNC_work_time = 560 # int(input("请输入CNC的工作时间："))
bi_settings.RGV_up_even_time = 27 # int(input("请输入RGV给奇数CNC上下料的时间："))
bi_settings.RGV_up_odd_time = 32 # int(input("请输入RGV给偶数CNC上下料的时间："))
bi_settings.RGV_clear_time = 25
'''
ai_settings = Settings()
ai_settings.Locate_RGV = 1
ai_settings.CNC_remaining_processing_time = [0,0,0,0,0,0,0,0]
'''
def Optimal_Path(ai_settings):
T1_out = 0
one_step_out = 0
RGV_L = 0
min = 10000
#print(bi_settings.CNC_remaining_processing_time)
for one_step in range(1, 9):
#初始化刚开始时的状态
bi_settings.Locate_RGV = ai_settings.Locate_RGV
for num in range(1, 9):
bi_settings.CNC_remaining_processing_time[
num - 1] = ai_settings.CNC_remaining_processing_time[num - 1]
#print( bi_settings.CNC_remaining_processing_time)
def main():
# 创建一个对象
ai_settings = Settings()
ai_settings.move_one_step_time = 18 #int(input("请输入移动一步的时间："))
ai_settings.move_two_step_time = 32 #int(input("请输入移动两步的时间："))
ai_settings.move_three_step_time = 46 #int(input("请输入移动三步的时间："))
ai_settings.CNC_work_time = 560 #int(input("请输入CNC的工作时间："))
ai_settings.RGV_up_even_time = 27 #int(input("请输入RGV给奇数CNC上下料的时间："))
ai_settings.RGV_up_odd_time = 32 #int(input("请输入RGV给偶数CNC上下料的时间："))
ai_settings.RGV_clear_time = 25 #int(input("请输入RGV清洗的时间："))
total_time = 0
number = 0
# 随机产生一个0~100的数
ai_settings.Break_num = BD.BreakDown_number()
ai_settings.Break_num_record.append(ai_settings.Break_num)
print(ai_settings.Break_num)
while total_time <= 28800:
print('~', ai_settings.CNC_remaining_processing_time)
# 判断是否有CNC的物料加工数为之前生成随机数的倍数
for X in range(1, 9):
if (ai_settings.CNC_TimesOfWork[X - 1] == ai_settings.Break_num) \
| (ai_settings.CNC_TimesOfWork[X - 1] == ai_settings.Break_num + 100) \
| (ai_settings.CNC_TimesOfWork[X - 1] == ai_settings.Break_num + 200):
BD.BreakDown(ai_settings, X)
print('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~',
ai_settings.CNC_remaining_processing_time)
# 统计每个CNC故障的次数
ai_settings.CNC_BreakDown_time[
X - 1] = ai_settings.CNC_BreakDown_time[X - 1] + 1
#搜索局部最优路径
[optimal_time, next_CNC, next_place] = OP.Optimal_Path(ai_settings)
# 统计CNC工作的次数
ai_settings.CNC_TimesOfWork[next_CNC -
1] = ai_settings.CNC_TimesOfWork[next_CNC -
1] + 1
print('~~~', ai_settings.CNC_remaining_processing_time)
#将以上变量封装到列表中去，方便显示
CNC_number.append(next_CNC)
OP1.append(optimal_time)
NP.append(next_place)
#总时间
total_time = total_time + optimal_time
print('!!!!!!', ai_settings.CNC_remaining_processing_time)
#更新状态
fun.update_status(ai_settings, next_place, next_CNC, optimal_time)
print('@@@@@@@@', ai_settings.CNC_remaining_processing_time)
RL.append(ai_settings.Locate_RGV)
#
number = number + 1
print('*************输出**************')
print(number - 1)
print(CNC_number)
print(OP1)
print(RL)
print(NP)
print(total_time)
print('CNC加工个数', ai_settings.CNC_TimesOfWork)
print('CNC故障次数', ai_settings.CNC_BreakDown_time)
print('随机故障历史记录', ai_settings.Break_num_record)
