挖机/卸点优先级

equipment/dump.py

@@ -42,6 +42,8 @@ class DumpInfo(WalkManage):
         self.exit_time = np.zeros(self.dynamic_dump_num)
         # 卸载点物料类型
         self.dump_material = {}
+        # 卸点优先级
+        self.dump_priority_coefficient = np.ones(self.dynamic_dump_num)
 
         # 初始化读取映射及路网
         self.period_map_para_load()
@@ -65,6 +67,17 @@ class DumpInfo(WalkManage):
     def get_dynamic_dump_set(self):
         return self.dynamic_dump_set
 
+    def get_unloading_task_time(self):
+        unloading_time = self.unloading_time
+
+        dump_entrance_time = self.entrance_time
+
+        dump_exit_time = self.exit_time
+
+        unloading_task_time = unloading_time + dump_entrance_time + dump_exit_time
+
+        return unloading_task_time
+
     # 更新卸载设备卸载时间
     def update_dump_unloadtime(self):
         self.unloading_time = np.zeros(self.dynamic_dump_num)
@@ -121,18 +134,6 @@ class DumpInfo(WalkManage):
                 self.entrance_time[self.dump_uuid_to_index_dict[dump_id]] = 0.50
                 self.exit_time[self.dump_uuid_to_index_dict[dump_id]] = 0.50
 
-    # 读取卸载任务时间
-    def get_unloading_task_time(self):
-        unloading_time = self.unloading_time
-
-        dump_entrance_time = self.entrance_time
-
-        dump_exit_time = self.exit_time
-
-        unloading_task_time = unloading_time + dump_entrance_time + dump_exit_time
-
-        return unloading_task_time
-
     # 更新卸载设备实际卸载量
     def update_actual_unload_thoughout(self):
         self.cur_dump_real_mass = np.zeros(self.dynamic_dump_num)
@@ -156,7 +157,12 @@ class DumpInfo(WalkManage):
         for dump_id in dynamic_dump_set:
             unload_area_id = session_mysql.query(Dispatch).filter_by(dump_id=dump_id).first().unload_area_id
             dump_material_id = session_postgre.query(DumpArea).filter_by(Id=unload_area_id).first().Material
-            self.dump_material[dump_id] = dump_material_id
+            self.dump_material[dump_id] = dump_material_id\
+
+    def update_dump_priority(self):
+        for dump_id in dynamic_dump_set:
+            item = session_mysql.query(Equipment).filter_by(id=dump_id).first()
+            self.dump_priority_coefficient[self.dump_uuid_to_index_dict[dump_id]] += item.priority
 
     def para_period_update(self):
 
@@ -169,11 +175,6 @@ class DumpInfo(WalkManage):
 
         self.period_walk_para_load()
 
-        # # 初始化卸载设备可用时间
-        # self.cur_dump_ava_time = np.full(self.dynamic_dump_num,
-        #                                    (datetime.now() - self.start_time) / timedelta(hours=0, minutes=1,
-        #                                                                                   seconds=0))
-
         # 用于动态调度的卸载设备
         self.dynamic_dump_set = set(update_autodisp_dump())
 
@@ -182,14 +183,17 @@ class DumpInfo(WalkManage):
         # 计算平均卸载时间
         self.update_dump_unloadtime()
 
+        # 计算平均进出场时间
+        self.update_dump_entrance_exit_time()
+
         # 计算实时卸载量
         self.update_actual_unload_thoughout()
 
-        # 卸载目标产量
-        self.dump_target_mass = np.full(self.dynamic_dump_num, dump_target_mass)
+        # 更新卸点物料
+        self.update_dump_material()
 
-        # # 同步虚拟卸载量
-        # self.sim_dump_real_mass = copy.deepcopy(self.cur_dump_real_mass)
+        # 更新设备优先级
+        self.update_dump_priority()
 
-        # # 计算卸载设备预估产量
-        # self.update_pre_unload_throughout()
+        # 卸载目标产量
+        self.dump_target_mass = np.full(self.dynamic_dump_num, dump_target_mass)
\ No newline at end of file

equipment/excavator.py

@@ -42,6 +42,10 @@ class ExcavatorInfo(WalkManage):
         self.exit_time = np.zeros(self.dynamic_excavator_num)
         # 挖机对应物料类型
         self.excavator_material = {}
+        # 挖机设备优先级
+        self.excavator_priority_coefficient = np.ones(dynamic_excavator_num)
+        # 挖机物料优先级
+        self.excavator_material_priority = np.ones(dynamic_excavator_num)
 
         # 初始化读取映射及路网
         self.period_map_para_load()
@@ -50,22 +54,6 @@ class ExcavatorInfo(WalkManage):
         # 参数初始化
         self.para_period_update()
 
-    # def period_map_para_load(self):
-    #     # 关系映射
-    #     self.excavator_uuid_to_index_dict = device_map.excavator_uuid_to_index_dict
-    #     self.dump_uuid_to_index_dict = device_map.dump_uuid_to_index_dict
-    #     self.excavator_index_to_uuid_dict = device_map.excavator_index_to_uuid_dict
-    #     self.dump_index_to_uuid_dict = device_map.dump_index_to_uuid_dict
-    #
-    #     self.dump_uuid_to_unload_area_uuid_dict = device_map.dump_uuid_to_unload_area_uuid_dict
-    #     self.excavator_uuid_to_load_area_uuid_dict = device_map.excavator_uuid_to_load_area_uuid_dict
-    #     self.excavator_index_to_load_area_index_dict = device_map.excavator_index_to_load_area_index_dict
-    #     self.dump_index_to_unload_area_index_dict = device_map.dump_index_to_unload_area_index_dict
-    #
-    # def period_walk_para_load(self):
-    #     self.truck_uuid_to_index_dict = device_map.truck_uuid_to_index_dict
-    #     self.truck_index_to_uuid_dict = device_map.truck_index_to_uuid_dict
-
     def get_loading_time(self):
         return self.loading_time
 
@@ -183,6 +171,26 @@ class ExcavatorInfo(WalkManage):
             excavator_material_id = session_postgre.query(DiggingWorkArea).filter_by(Id=load_area_id).first().Material
             self.excavator_material[excavator_id] = excavator_material_id
 
+    def update_excavator_priority(self):
+        for excavator_id in dynamic_excavator_set:
+            item = session_mysql.query(Equipment).filter_by(id=excavator_id).first()
+            self.excavator_priority_coefficient[self.excavator_uuid_to_index_dict[excavator_id]] = item.priority + 1
+
+            # 物料优先级控制
+            rule = 1
+            rule7 = session_mysql.query(DispatchRule).filter_by(id=7).first()
+            material_priority_use = rule7.disabled
+            if material_priority_use == 0:
+                rule = rule7.rule_weight
+
+            if rule == 0:
+                if session_mysql.query(Material).filter_by(id=self.excavator_material[excavator_id]).first().name == '土':
+                    self.excavator_material_priority[self.excavator_uuid_to_index_dict[excavator_id]] = 5
+            elif rule == 2:
+                if session_mysql.query(Material).filter_by(id=self.excavator_material[excavator_id]).first().name == '煤':
+                    self.excavator_material_priority[self.excavator_uuid_to_index_dict[excavator_id]] = 5
+
+
     def para_period_update(self):
 
         # print("Excavator update!")
@@ -210,13 +218,12 @@ class ExcavatorInfo(WalkManage):
         # 计算实时装载量
         self.update_actual_load_throughout()
 
+        # 更新挖机物料
+        self.update_excavator_material()
+
+        # 更新挖机优先级
+
         # 挖机目标产量
         self.excavator_target_mass = np.full(
             self.dynamic_excavator_num, excavator_target_mass
         )
-
-        # # 同步挖机虚拟装载量
-        # self.sim_excavator_real_mass = copy.deepcopy(self.cur_excavator_real_mass)
-
-        # # 计算卸载设备预估产量
-        # self.update_pre_load_throughout()
\ No newline at end of file

path_plan/path_plannner.py

@@ -6,12 +6,10 @@
 # @File : path_plannner.py    
 # @Software: PyCharm
 
-import numpy
-from settings import *
-from static_data_process import *
-from settings import *
-from para_config import *
 from equipment.truck import TruckInfo
+from path_plan.priority_control import weighted_walk_cost, available_walk
+from para_config import *
+from tables import *
 
 M = 1000000
 
@@ -51,13 +49,27 @@ class PathPlanner(WalkManage):
         to_unload_cost = 0
         # 装载道路总成本初始化
         to_load_cost = 0
+        # 道路权重
+        weighted_distance = weighted_walk_cost()
 
+        # 修正因子
+        weight = 10000
         # 阻塞成本权重
-        alpha = 10000
+        alpha = 1 * weight
         # 距离成本权重
         beta = 1
 
+        # 距离成本启用
+        rule1 = session_mysql.query(DispatchRule).filter_by(id=1).first()
+        if rule1.disabled == 0:
+            alpha = alpha * rule1.rule_weight
+
+        # 拥堵成本启用
+        rule2 = session_mysql.query(DispatchRule).filter_by(id=2).first()
+        if rule2.disabled == 0:
+            beta = beta * rule2.rule_weight
         try:
+
             # 备停区处理
             if is_park:
                 # 提取指定道路记录
@@ -84,7 +96,7 @@ class PathPlanner(WalkManage):
                 to_unload_cost = alpha * cost_to_unload_blockage + beta * path.to_unload_distance
                 to_load_cost = alpha * cost_to_load_blockage + beta * path.to_load_distance
         except Exception as es:
-            logger.error(f'道路{load_area_id-unload_area_id}行驶成本计算异常')
+            logger.error(f'道路{load_area_id + "-" +unload_area_id}行驶成本计算异常')
             logger.error(es)
 
         return to_load_cost, to_unload_cost
@@ -118,33 +130,48 @@ class PathPlanner(WalkManage):
 
         self.period_map_para_load()
 
-        try:
+        # try:
 
         # 读取路网成本
         for walk_time in session_postgre.query(WalkTime).all():
-                unload_area_index = unload_area_uuid_to_index_dict[str(walk_time.unload_area_id)]
-                load_area_index = load_area_uuid_to_index_dict[str(walk_time.load_area_id)]
+            print(str(walk_time.load_area_id), str(walk_time.unload_area_id))
+            print(walk_time.load_area_name, walk_time.unload_area_name)
+            load_area_id, unload_area_id = str(walk_time.load_area_id), str(walk_time.unload_area_id)
+            unload_area_index = unload_area_uuid_to_index_dict[unload_area_id]
+            load_area_index = load_area_uuid_to_index_dict[load_area_id]
             self.cost_to_load_area[unload_area_index][load_area_index], \
             self.cost_to_unload_area[unload_area_index][load_area_index] = \
-                    self.path_cost_generate(walk_time.load_area_id, walk_time.unload_area_id, False)
+                self.path_cost_generate(load_area_id, unload_area_id, False)
 
         # 读取备停区路网成本
         for walk_time_park in session_postgre.query(WalkTimePark).all():
             park_area_index = park_uuid_to_index_dict[str(walk_time_park.park_area_id)]
             load_area_index = load_area_uuid_to_index_dict[str(walk_time_park.load_area_id)]
             _, self.cost_park_to_load_area[park_area_index][load_area_index] = \
-                    self.path_cost_generate(walk_time_park.load_area_id, walk_time_park.park_area_id, True)
-        except Exception as es:
-            logger.error('路网信息计成本计算异常')
-            logger.error(es)
+                self.path_cost_generate(str(walk_time_park.load_area_id), str(walk_time_park.park_area_id), True)
+        # except Exception as es:
+        #     logger.error('路网信息计成本计算异常')
+        #     logger.error(es)
 
         cost_to_excavator = np.zeros_like(self.distance_to_excavator)
         cost_to_dump = np.zeros_like(self.distance_to_dump)
 
+        # 路网优先级
+        walk_weight = weighted_walk_cost()
+
+        walk_weight = walk_weight / walk_weight.min()
+
+        # 路网禁用关系
+        walk_available = available_walk()
+
+        print("path_weight", walk_weight)
+
         for i in range(dynamic_dump_num):
             for j in range(dynamic_excavator_num):
-                cost_to_excavator[i][j] = self.cost_to_load_area[self.dump_index_to_unload_area_index_dict[i]][self.excavator_index_to_load_area_index_dict[j]]
-                cost_to_dump[i][j] = self.cost_to_unload_area[self.dump_index_to_unload_area_index_dict[i]][self.excavator_index_to_load_area_index_dict[j]]
+                load_area_index = self.excavator_index_to_load_area_index_dict[j]
+                unload_area_index = self.dump_index_to_unload_area_index_dict[i]
+                cost_to_excavator[i][j] = self.cost_to_load_area[unload_area_index][load_area_index] / walk_weight[i][j]
+                cost_to_dump[i][j] = self.cost_to_unload_area[unload_area_index][load_area_index] / walk_weight[i][j] * walk_available[i][j]
 
         logger.info("真实路网距离-驶往挖机:")
         logger.info(self.distance_to_excavator)
@@ -158,6 +185,8 @@ class PathPlanner(WalkManage):
         logger.info("阻塞路网距离-驶往卸点:")
         logger.info(cost_to_dump)
 
+        return cost_to_excavator, cost_to_dump, walk_weight, walk_available
+
 
 class LaneInfo:
     def __init__(self):

path_plan/priority_control.py

+#!E:\Pycharm Projects\Waytous
+# -*- coding: utf-8 -*-
+# @Time : 2021/9/3 14:44
+# @Author : Opfer
+# @Site :
+# @File : priority_control.py    
+# @Software: PyCharm
+
+from equipment.truck import *
+from equipment.dump import *
+from equipment.excavator import *
+from para_config import *
+
+truck = TruckInfo()
+excavator = ExcavatorInfo()
+dump = DumpInfo()
+
+def weighted_walk_cost():
+    excavator.update_excavator_priority()
+    dump.update_dump_priority()
+    walk_weight = np.ones((dynamic_dump_num, dynamic_excavator_num))
+    excavator_priority = excavator.excavator_priority_coefficient
+    excavator_material_priority = excavator.excavator_material_priority
+    dump_priority = dump.dump_priority_coefficient
+    dump_material_priority = np.ones(dynamic_dump_num)
+
+    rule6 = session_mysql.query(DispatchRule).filter_by(id=6).first()
+    if not rule6.disabled:
+        for dump_id in dynamic_dump_set:
+            for excavator_id in dynamic_excavator_set:
+                dump_index = dump.dump_uuid_to_index_dict[dump_id]
+                excavator_inedx = excavator.excavator_uuid_to_index_dict[excavator_id]
+                walk_weight[dump_index][excavator_inedx] += dump_priority[dump_index] * \
+                                                           excavator_priority[excavator_inedx]
+
+    rule7 = session_mysql.query(DispatchRule).filter_by(id=7).first()
+    if not rule7.disabled:
+        for dump_id in dynamic_dump_set:
+            for excavator_id in dynamic_excavator_set:
+                dump_index = dump.dump_uuid_to_index_dict[dump_id]
+                excavator_inedx = excavator.excavator_uuid_to_index_dict[excavator_id]
+                walk_weight[dump_index][excavator_inedx] += dump_material_priority[dump_index] * \
+                                                           excavator_material_priority[excavator_inedx]
+
+    logger.info("路网优先级")
+    logger.info(walk_weight)
+
+    return walk_weight
+
+
+def available_walk():
+    excavator.update_excavator_material()
+    dump.update_dump_material()
+    walk_weight = np.ones((dynamic_dump_num, dynamic_excavator_num))
+
+    for dump_id in dynamic_dump_set:
+        for excavator_id in dynamic_excavator_set:
+            dump_index = dump.dump_uuid_to_index_dict[dump_id]
+            excavator_inedx = excavator.excavator_uuid_to_index_dict[excavator_id]
+            if excavator.excavator_material[excavator_id] != dump.dump_material[dump_id]:
+                walk_weight[dump_index][excavator_inedx] += 1000
+
+    logger.info("路网禁用关系")
+    logger.info(walk_weight)
+
+    return walk_weight
+

realtime_dispatch.py

@@ -10,16 +10,10 @@
 # 实时调度模块
 
 from traffic_flow.traffic_flow_planner import *
-from static_data_process import *
 from para_config import *
-from settings import *
 from equipment.truck import TruckInfo
 from equipment.excavator import ExcavatorInfo
 from equipment.dump import DumpInfo
-from apscheduler.schedulers.background import BackgroundScheduler
-from apscheduler.schedulers.blocking import BlockingScheduler
-from apscheduler.jobstores.memory import MemoryJobStore
-from apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor
 
 # 调度类
 class Dispatcher(WalkManage):
@@ -520,6 +514,13 @@ class Dispatcher(WalkManage):
 
     def truck_schedule(self, truck_id):
 
+        rule3 = session_mysql.query(DispatchRule).filter_by(id=3).first().disabled
+        rule4 = session_mysql.query(DispatchRule).filter_by(id=4).first().disabled
+
+        path = PathPlanner()
+
+        cost_to_excavator, cost_to_dump, walk_weight, walk_available = path.walk_cost()
+
         # 矿卡对应序号
         truck_index = self.truck_uuid_to_index_dict[truck_id]
         # 矿卡行程
@@ -538,11 +539,11 @@ class Dispatcher(WalkManage):
         unloading_time = self.dump.get_unloading_time()
         # 路网信息
         walk_time_park_to_excavator = walk_manage.get_walk_time_park_to_excavator() \
-                                      * (empty_speed / self.truck.empty_speed[truck_id])
+                                      * (empty_speed / float(self.truck.empty_speed[truck_id]))
         walk_time_to_dump = walk_manage.get_walk_time_to_dump() * \
                             (heavy_speed / self.truck.heavy_speed[truck_id])
         walk_time_to_excavator = walk_manage.get_walk_time_to_excavator() * \
-                                 (empty_speed / self.truck.empty_speed[truck_id])
+                                 (empty_speed / float(self.truck.empty_speed[truck_id]))
 
         # 出入场时间
         loading_task_time = self.excavator.get_loading_task_time()
@@ -563,6 +564,11 @@ class Dispatcher(WalkManage):
 
         target = 0
 
+        logger.info("矿卡-挖机锁定")
+        logger.info(self.truck.excavator_material_bind_modify[truck_index])
+        logger.info("矿卡排斥关系")
+        logger.info(self.truck.excavator_exclude_modify[truck_index])
+
         if task == -2:
             try:
                 logger.info("矿卡状态：矿卡启动或故障恢复")
@@ -587,7 +593,7 @@ class Dispatcher(WalkManage):
                     self.truck.truck_excavator_bind[truck_id]
                 ]
             else:
-                target = np.argmax(
+                transport_value = \
                     (
                             10
                             * (1 - self.sim_excavator_real_mass / excavator_target_mass)
@@ -600,6 +606,8 @@ class Dispatcher(WalkManage):
                                     - now
                             )
                     )
+                target = np.argmax(
+                    transport_value
                     - self.truck.excavator_exclude_modify[truck_index]
                     - self.truck.excavator_material_bind_modify[truck_index]
                 )
@@ -677,9 +685,18 @@ class Dispatcher(WalkManage):
                         target = key
                         break
             else:
-                target = np.argmin(
-                    (self.actual_goto_dump_traffic_flow[int(trip[1]), :] + 0.001)
+                if rule3 and rule4:
+                    print("here233")
+                    transport_value = (cost_to_excavator / walk_weight * walk_available)[:, int(trip[1])]
+                    logger.info("不含车流规划：")
+                    logger.info(transport_value)
+                else:
+                    print("here122")
+                    transport_value = \
+                        (self.actual_goto_dump_traffic_flow[int(trip[1]), :] + 0.001) \
                         / (self.opt_goto_dump_traffic_flow[int(trip[1]), :] + 0.001)
+                target = np.argmin(
+                    transport_value
                     + self.truck.excavator_exclude_modify[truck_index]
                     + self.truck.excavator_material_bind_modify[truck_index]
                 )
@@ -762,9 +779,17 @@ class Dispatcher(WalkManage):
                     self.truck.truck_excavator_bind[truck_id]
                 ]
             else:
-                target = np.argmin(
-                    (self.actual_goto_excavator_traffic_flow[trip[1], :] + 0.001)
+                if rule3 and rule4:
+                    print("here233")
+                    transport_value = (cost_to_excavator / walk_weight * walk_available)[int(trip[1]), :]
+                else:
+                    print("here122")
+                    transport_value = \
+                        (self.actual_goto_excavator_traffic_flow[trip[1], :] + 0.001) \
                         / (self.opt_goto_excavator_traffic_flow[trip[1], :] + 0.001)
+
+                target = np.argmin(
+                    transport_value
                     + self.truck.excavator_exclude_modify[truck_index]
                     + self.truck.excavator_material_bind_modify[truck_index]
                 )
@@ -781,7 +806,7 @@ class Dispatcher(WalkManage):
 
     def schedule_construct(self):
 
-        try:
+        # try:
 
         # 读取所需信息
         trucks = self.truck.get_truck_num()
@@ -802,13 +827,16 @@ class Dispatcher(WalkManage):
         Seq = [[truck_current_trip[i][1], -1] for i in range(trucks)]
 
         # 根据矿卡最早可用时间顺序进行规划
-            temp = copy.deepcopy(self.cur_truck_ava_time) * self.truck.truck_priority
+        temp = copy.deepcopy(self.cur_truck_ava_time) - self.truck.truck_priority
 
+        try:
             # 没有启动的矿卡加上一个很大的值，降低其优先级
             for i in range(trucks):
                 task = truck_current_task[self.truck_index_to_uuid_dict[i]]
                 if task == -2:
                     temp[i] = temp[i] + M
+        except Exception as es:
+            logger.error(es)
 
         index = np.argsort(temp.reshape(1, -1))
         index = index.flatten()
@@ -971,9 +999,9 @@ class Dispatcher(WalkManage):
         for i in range(trucks):
             print("dispatch_setting:")
             print(redis5.get(self.truck_index_to_uuid_dict[i]))
-        except Exception as es:
-            logger.error("更新不及时")
-            logger.error(es)
+        # except Exception as es:
+        #     logger.error("更新不及时")
+        #     logger.error(es)
 
         logger.info(
             "#####################################周期更新结束#####################################"
@@ -1084,10 +1112,6 @@ if __name__ == "__main__":
 
 
 
-
-
-
-
 # # 下面三个函数保证程序定期执行，不用管他
 # def process(dispatcher):
 #

schedule_test.py

-#!E:\Pycharm Projects\Waytous
-# -*- coding: utf-8 -*-
-# @Time : 2021/8/24 14:56
-# @Author : Opfer
-# @Site :
-# @File : schedule_test.py    
-# @Software: PyCharm
-
-import datetime
-from apscheduler.schedulers.background import BackgroundScheduler
-from apscheduler.schedulers.blocking import BlockingScheduler
-from apscheduler.jobstores.memory import MemoryJobStore
-from apscheduler.executors.pool import ThreadPoolExecutor, ProcessPoolExecutor
-
-def my_job(id='my_job'):
-    print(id, '-->', datetime.datetime.now())
-
-jobstores = {'default': MemoryJobStore()}
-
-executors = {'default': ThreadPoolExecutor(10)}
-
-job_defaults = {'coalesce': False, 'max_instances': 10}
-
-scheduler = BlockingScheduler(jobstores=jobstores, executors=executors, job_defaults=job_defaults)
-
-scheduler.add_job(my_job, args=['job_interval'], id='ins1', trigger='interval', seconds=5)
-
-scheduler.add_job(my_job, args=['job_interval'], id='ins2', trigger='interval', seconds=5)
-
-if __name__ == '__main__':
-    try:
-        scheduler.start()
-    except SystemExit:
-        print('exit')
-        exit()
\ No newline at end of file

tables.py

@@ -142,7 +142,6 @@ class WalkTime(Base):
     #     self.walktime_load = walktime_load
     #     self.walktime_unload = walktime_unload
 
-
 # class Truck(Base):
 #     __tablename__ = 'truck_status'
 #
@@ -410,3 +409,25 @@ class DiggingWorkArea(Base):
         self.Id = Id
         self.Material = Material
 
+
+class DispatchRule(Base):
+    __tablename__ = 'sys_dispatch_rule'
+
+    id = Column(Integer, primary_key=True)
+    rule_weight = Column(Float)
+    disabled = Column(BOOLEAN)
+
+    def __init__(self, id, rule_weight, disabled):
+        self.id = id
+        self.rule_weight = rule_weight
+        self.disabled = disabled
+
+
+class Material(Base):
+    __tablename__ = 'resource_materials'
+    id = Column(VARCHAR(40), primary_key=True)
+    name = Column(VARCHAR(40))
+
+    def __init__(self, id, name):
+        self.id = id
+        self.name = name

traffic_flow/__init__.py

 #!E:\Pycharm Projects\Waytous
 # -*- coding: utf-8 -*-
-# @Time : 2021/8/3 10:51
+# @Time : 2021/8/31 15:17
 # @Author : Opfer
 # @Site :
-# @File : __init__.py.py    
+# @File : __init__.py    
 # @Software: PyCharm
\ No newline at end of file

traffic_flow/traffic_flow_planner.py

@@ -19,13 +19,13 @@ from traffic_flow.traffic_flow_info import *
 
 
 # 解决线性规划问题，生成每条道路的流量
-def transportation_problem_slove(coefficient, w_ij, s_ij, b_excavator,
+def transportation_problem_slove(coefficient_goto_dump, coefficient_goto_excavator, w_ij, s_ij, b_excavator,
                                  b_dump, grade_loading_array,
                                  max_unload_weigh_alg_flag, truck_total_num,
                                  walk_time_to_excavator, walk_time_to_dump, min_throughout,
                                  grade_lower_array=None, grade_upper_array=None):
-    row = len(coefficient)  # 代表挖机的个数,第i行代表第i台挖机
-    col = len(coefficient[0])  # 代表卸载设备的个数,第j行代表第j个卸载设备
+    row = len(coefficient_goto_dump)  # 代表挖机的个数,第i行代表第i台挖机
+    col = len(coefficient_goto_dump[0])  # 代表卸载设备的个数,第j行代表第j个卸载设备
 
     # prob = pulp.LpProblem('Transportation Problem', sense=pulp.LpMaximize)
     # 卸载道路的流量,单位是吨/小时,i代表起点为第i个挖机,j代表终点为第j个卸载设备
@@ -39,7 +39,7 @@ def transportation_problem_slove(coefficient, w_ij, s_ij, b_excavator,
     if max_unload_weigh_alg_flag == True:
         prob = pulp.LpProblem('Transportation Problem', sense=pulp.LpMaximize)
         # 得到目标函数，目标函数是使得系统的运输量最大
-        prob += pulp.lpDot(flatten(var_x), coefficient.flatten())
+        prob += (pulp.lpDot(flatten(var_y), coefficient_goto_excavator.flatten()))
     else:
         prob = pulp.LpProblem('Transportation Problem', sense=pulp.LpMinimize)
         goto_excavator_cost = var_x * walk_time_to_excavator
@@ -53,6 +53,7 @@ def transportation_problem_slove(coefficient, w_ij, s_ij, b_excavator,
 
     logger.info("road_factor")
     logger.info(w_ij)
+    logger.info(s_ij)
 
     # 矿卡总数约束,在每条道路上的车辆总数要小于矿卡总个数
     # 通过矩阵按元素相乘得到每条卸载道路上的车辆个数
@@ -61,7 +62,7 @@ def transportation_problem_slove(coefficient, w_ij, s_ij, b_excavator,
     load_truck_totla_num_array = s_ij * var_y
     # 装载的矿卡数和卸载的矿卡数需要小于矿卡总数
     prob += (pulp.lpSum(unload_truck_total_num_array) +
-             pulp.lpSum(load_truck_totla_num_array) <= 2)
+             pulp.lpSum(load_truck_totla_num_array) <= truck_total_num)
 
     # 最大工作强度约束
     # 约束每个挖机的工作强度
@@ -153,7 +154,8 @@ def traffic_flow_plan():
     else:
         logger.info(f'最小成本调度模式')
 
-    coefficient = traffic_programme_para.priority_coefficient
+    coefficient_goto_dump = traffic_programme_para.priority_coefficient_goto_dump
+    coefficient_goto_excavator = traffic_programme_para.priority_coefficient_goto_excavator
     w_ij = traffic_programme_para.goto_dump_factor
     s_ij = traffic_programme_para.goto_excavator_factor
     b_excavator = traffic_programme_para.excavator_strength
@@ -166,7 +168,9 @@ def traffic_flow_plan():
     walk_time_to_dump = traffic_programme_para.walk_time_to_dump
     truck_total_num = traffic_programme_para.truck_total_num
 
-    res = transportation_problem_slove(coefficient, w_ij, s_ij, b_excavator, b_dump,
+    print(w_ij, s_ij, b_excavator, b_dump)
+
+    res = transportation_problem_slove(coefficient_goto_dump, coefficient_goto_excavator, w_ij, s_ij, b_excavator, b_dump,
                                        grade_loading_array, max_unload_weigh_alg_flag, truck_total_num,
                                        walk_time_to_excavator, walk_time_to_dump, min_throughout,
                                        grade_upper_dump_array, grade_lower_dump_array)
@@ -180,8 +184,12 @@ def traffic_flow_plan():
 
     print('各变量的取值为：')
     logger.info('各变量取值:')
+    print(dynamic_dump_set)
+    print(dynamic_excavator_set)
     print(np.array(res['var_x']).round(3))
     logger.info(f'重运车流:{res["var_x"]} 单位: 吨/时')
+    print(dynamic_excavator_set)
+    print(dynamic_dump_set)
     print(np.array(res['var_y']).round(3))
     logger.info(f'空运车流:{res["var_y"]} 单位: 吨/时')
 
@@ -196,7 +204,7 @@ def traffic_flow_plan():
 
     return res["var_x"], res["var_y"]
 
-# traffic_flow_plan()
+traffic_flow_plan()
 
 # end = time.time()
 # print("used {:.5}s".format(end-start))