def cal_mat_priority(self, now_time):
# 计算 rest剩余未完成量、(now_time-last_time)距离上次plan_day修改时间、（仓库合理工作强度-当前车辆工作数）的softmax函数
rest_list = list()
time_list = list()
cars_num_list = list()
for warehouse in self.__warehouse_list:
for mat in warehouse.get_mat_list():
rest_list.append(mat.get_rest())
time_list.append(
int((Tool.string_to_datetime(now_time) -
Tool.string_to_datetime(
mat.get_last_time())).total_seconds()))
cars_num_list.append(warehouse.get_rea() - warehouse.get_act())
rest = Tool.softmax(rest_list)
last_time = Tool.softmax(time_list)
cars_num = Tool.softmax(cars_num_list)
# 计算优先级
index = 0
for i in range(len(self.__warehouse_list)):
priority_list = list()
for j in range(len(self.__warehouse_list[i].get_mat_list())):
if cars_num[i] == 0:
priority_list.append(0)
else:
priority_list.append(
(rest[index] * last_time[index]) / cars_num[index])
index += 1
self.__warehouse_list[i].set_mat_priority(priority_list)
print(priority_list)
def cal_cars_priority(self, now_time):
time_list = list()
mat_priority = list()
# 计算每个车辆已等时间的softmax函数
for car in self.__queue_cars:
time_list.append(
int((Tool.string_to_datetime(now_time) -
Tool.string_to_datetime(
car.get_queue_start_time())).total_seconds()))
time_result = Tool.softmax(time_list)
# 计算每个仓库中品种优先级的softmax函数
for warehouse in self.__inFactory.get_warehouse():
for mat in warehouse.get_mat_list():
mat_priority.append(mat.get_priority())
priority_result = Tool.softmax(mat_priority)
# 计算每辆车得优先级
for i in range(len(self.__queue_cars)):
count = int() # 用于保存多个仓库的优先级*权重之和
# 遍历car的每个目的仓库
for warehouse1 in self.__queue_cars[i].get_target_warehouse():
index = 0
# 遍历厂内所有仓库，目的是找出仓库内品种的优先级
for warehouse2 in self.__inFactory.get_warehouse():
# 如果相等则匹配到了
if warehouse1 == warehouse2.get_warehouse_code():
# 遍历仓库内所有品种，目的是找出仓库内和车辆相同的品种
for mat in warehouse2.get_mat_list():
# 物料名和小品种要都相等才能确定
if mat == self.__queue_cars[i].get_mat_code() \
and self.__queue_cars[i].get_sub_kind_name() == mat.get_sub_kind_name():
count += priority_result[index]
break
index += 1
break
else:
index += len(warehouse2.get_mat_list())
x = time_result[i] * (
count / len(self.__queue_cars[i].get_target_warehouse()))
self.__queue_cars[i].set_priority(x)
print(x)