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_1 = 455#int(input("请输入CNC的工作时间："))
ai_settings.CNC_work_time_2 = 182
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："))
# 调试
CNC_number = [] # 每次上物料CNC的编号
OP1 = [] # 每一步所花的时间
NP = []
RL = []
take_time = []
give_time = []
second_CNC_num = fun.Decision_Ratio(ai_settings, ai_settings.CNC_work_time_1, ai_settings.CNC_work_time_2)
#ai_settings.CNC_type = [1, 1, 2, 2, 2, 2, 1, 1]
print('~', ai_settings.CNC_type)
if second_CNC_num == 4:
CNC_number = [1, 3, 5, 7] # 每次上物料CNC的编号
OP1 = [28, 48, 48, 48] # 每一步所花的时间
NP = [1, 2, 3, 4]
RL = [1, 2, 3, 4]
take_time = [0, 0, 0, 0]
give_time = [0, 0, 0, 0]
elif second_CNC_num == 5:
CNC_number = [1, 5, 6] # 每次上物料CNC的编号
OP1 = [30, 71, 35] # 每一步所花的时间
NP = [1, 3, 3]
RL = [1, 3, 3]
take_time = [0, 0, 0]
give_time = [0, 0, 0]
elif second_CNC_num == 2:
CNC_number = [1, 2, 3, 6, 7, 8] # 每次上物料CNC的编号
OP1 = [27, 32, 45, 50, 45, 32] # 每一步所花的时间
NP = [1, 1, 2, 3, 4, 4]
RL = [1, 1, 2, 3, 4, 4]
take_time = [0, 0, 0, 0, 0, 0]
give_time = [0, 0, 0, 0, 0, 0]
total_time = sum(OP1)
print('&&&&&', total_time)
number = 1 #初始化8小时加工物料的个数
# 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:
# 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)
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, F_CNC, Take_time, Give_time] = 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
ai_settings.CNC_TimesOfWork[F_CNC-1] = ai_settings.CNC_TimesOfWork[F_CNC-1] + 1
#将以上变量封装到列表中去，方便显示
CNC_number.append(F_CNC)
CNC_number.append(next_CNC)
OP1.append(optimal_time)
NP.append(next_place)
take_time.append(Take_time)
give_time.append(Give_time)
#总时间
total_time = total_time + optimal_time
#print('**',total_time)
#更新状态
fun.update_status(ai_settings, next_place, next_CNC, optimal_time, F_CNC)
RL.append(ai_settings.Locate_RGV)
#当该物料是第二道工序，则number+1
number = number + 1
print('*************输出**************')
print('8小时内加工物料的总个数',number-1)
print('每一步要处理的CNC编号', CNC_number)
print('每一步的总时间', OP1)
print('每一步取料的时间', take_time)
print('每一步上料的时间', give_time)
print('每一步要去的位置', RL)
print(NP)
print('总时间', 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)
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)
