Liquid aluminum transportation system in an aluminum smelter based on 5G

Abstract

The present invention is a liquid aluminum transportation system for an aluminum electrolytic plant based on 5G, which belongs to the technical field of logistics management of aluminum electrolytic plants, and includes: an intelligent logistics management and control system, a transport vehicle information system, and a production workshop information management system; the intelligent logistics management and control system is used for the management and scheduling of liquid aluminum transportation within the plant; the transport vehicle information system is used to collect and send the status of the vehicle and the information of the loaded liquid aluminum, and can receive scheduling instruction information; the production workshop information management system is used to collect and send workshop production information; the intelligent logistics management and control system, the transport vehicle information system, and the production workshop information management system are connected by a 5G high-speed wireless network. The present invention uses a 5G high-speed network to integrate resources and information, and seamlessly connects production plan management with transport vehicle scheduling control, making logistics transportation more scientific and effective, improving transportation capacity, improving transportation efficiency, and reducing transportation costs.

Description

Technical Field

[0001] The present invention belongs to the technical field of logistics management of aluminum electrolytic plants, and in particular, to a 5G-based liquid aluminum transportation system of an aluminum electrolytic plant. Background Art

[0002] With the continuous expansion of the scale of aluminum electrolytic plants in recent years, the transportation volume of liquid aluminum has increased significantly, and the number of liquid aluminum transport vehicles and drivers have increased accordingly, making the logistics costs of aluminum electrolytic plants increasingly high, which has attracted widespread attention from enterprises. On the other hand, since most factories currently use manual dispatching of transport vehicles and use walkie-talkies to communicate and issue and receive instructions, it is easy to cause the instruction information to be out of touch with actual production, and the information transmission is not smooth, which makes the transport vehicles need to wait for the overhead crane to discharge aluminum in the electrolytic workshop or wait for aluminum unloading in the foundry workshop, resulting in reduced work efficiency and waste of transportation capacity. During the peak period of aluminum discharge, since there is no traffic signal control in the factory area, it is easy to cause congestion on the factory roads, affecting production efficiency and traffic accidents. Summary of the invention

[0003] In order to solve the above technical problems, the purpose of the present invention is to provide a 5G-based liquid aluminum transportation system for an aluminum electrolytic plant. The present invention utilizes the 5G high-speed network to carry out resource integration and information integration, and seamlessly connects production planning management with transport vehicle scheduling control, making logistics transportation more scientific and effective, improving transportation capacity, improving transportation efficiency, and reducing transportation costs.

[0004] The present invention adopts the following technical solution:

[0005] The 5G-based liquid aluminum transportation system of the electrolytic aluminum plant includes: intelligent logistics management and control system, transport vehicle information system, and production workshop information management system;

[0006] The intelligent logistics management and control system is used for the management and scheduling of liquid aluminum transportation within the plant;

[0007] The transport vehicle information system is used to collect the status of the sending vehicle and the information of the loaded liquid aluminum, and can receive the dispatch instruction information;

[0008] The production workshop information management system is used to collect and send workshop production information;

[0009] The intelligent logistics management and control system, transport vehicle information system, and production workshop information management system are connected by a 5G high-speed wireless network.

[0010] Furthermore, the intelligent logistics management and control system includes: a logistics management server, a database server and a mobile client;

[0011] The intelligent logistics management server is used for the transportation management of liquid aluminum in the factory, including processing the information uploaded by the transport vehicle and the production workshop, and issuing instructions to the transport vehicle;

[0012] The database server is used to store data on production requirements, data on transportation equipment, data on drivers, data on logistics information, and data on factory road models;

[0013] The mobile client is a device with wireless communication function, which is used for inputting, viewing and modifying logistics control instructions.

[0014] Furthermore, the database server establishes a vehicle scheduling mathematical model, which takes minimizing the number of vehicles, minimizing the total driving distance of vehicles, and minimizing the variance of vehicle driving distance as the objective function under the premise of ensuring safe production. The mathematical expression is:

[0015]

[0016]

[0017] min Z3=n

[0018] In the first formula, Z1 is the total distance traveled by the vehicle, j = 1, 2, ..., m, where m is the number of tasks assigned to the vehicle in a specified time period, f1 is the distance from the i-th task point to the foundry, and f2 is the distance between the two points; in the second formula, Z2 is the variance of the vehicle's travel distance, n is the number of vehicles, and S i represents the driving distance of each vehicle, M is the average driving distance; in the third formula, Z3 is the minimum number of vehicles required, and n is the number of vehicles.

[0019] Each mission can only dispatch one vehicle, so

[0020] Among them, k represents the total number of tasks. Number, in set X, when X 1，k = 1, all k values ​​constitute dw 1，j The values ​​in , and arrange them in order, and so on, to get dw 1，j All values ​​of dw 1，j The total number of is the total number of tasks;

[0021] All vehicles must complete all tasks within the specified time, if:

[0022] T Mi ≤T max , i∈V

[0023] in:

[0024] T Mi =max(tvci，j ), i∈V

[0025]

[0026]

[0027] S i =2f1(dw i，j )+f2(dw i，j , dw i，j+1 ), i∈V

[0028] In the formula, T Z It indicates the time taken by the transport vehicle to load the liquid aluminum, T X It represents the time taken by the transport vehicle to unload the liquid aluminum, T ZZ Represents the time spent by the transport vehicle in the foundry. T Mi It represents the maximum time to complete the task in the i-th vehicle, T max Indicates the maximum completion time. tv i，j It indicates the time when the i-th vehicle performs the j-th task in its task schedule, tvc i，j represents the time when the i-th vehicle completes its j-th task, tr i，j V represents the time taken by the i-th vehicle to perform the j-th task corresponding to its vehicle. speed Indicates the average speed of each vehicle during transportation.

[0029] Regarding f1 and f2 in the objective function, the distance from the task point to the foundry and the distance from the task point to other task points are calculated respectively. When the intelligent logistics management server assigns tasks to transport vehicles, the shortest path is calculated based on the vehicle location.

[0030] Furthermore, the shortest path calculation is to search step by step as the path length increases, find the shortest path, and finally obtain the shortest path by continuous iteration and continuous search of the shortest distance, including the following steps:

[0031] (1) Take the starting point as the search point and search to find all points within the non-search point range that are connected to the search point;

[0032] (2) Based on the length of the path, the non-search point is used as the new search point and the range is updated;

[0033] (3) Find a feasible point within the search point range, go to the new point, calculate the shortest position, and repeat this process until the search reaches the end point.

[0034] Furthermore, the transport vehicle information system includes: a vehicle-mounted information sensor, a vehicle-mounted communication information terminal;

[0035] The vehicle-mounted information sensor is used to collect the vehicle's operating status and position, as well as the weight of the loaded liquid aluminum, and synchronously upload the data information collected on site to the vehicle-mounted communication information terminal;

[0036] The on-board communication information terminal is used to receive data information from the on-board information sensor. The on-board communication information terminal has a wireless communication interface, which uploads information to the intelligent logistics management and control system through the 5G wireless network, and receives instructions and transportation route planning information from the intelligent logistics management and control system through wireless communication.

[0037] Furthermore, the production workshop information management system includes: an electrolysis workshop information management system and a casting workshop information management system;

[0038] The electrolysis workshop information management system is used to collect the production status and aluminum demand information of the electrolysis workshop, and upload the information to the intelligent logistics management and control system through the 5G wireless network;

[0039] The foundry information management system is used to collect the foundry production status and aluminum liquid demand information, and upload the information to the intelligent logistics management and control system through the 5G wireless network.

[0040] Furthermore, the process of the system includes the following steps:

[0041] Step 301, the logistics management server learns about the logistics demand through real-time communication with the production workshop, and determines whether it is necessary to issue a dispatch instruction to the transport vehicle. When the judgment result is yes, the next step 302 is triggered; when the judgment structure is no, the current process ends and continues to re-trigger the next new step 301;

[0042] Step 302, through the vehicle and driver information in the database server, filter the dispatchable vehicles, and through the vehicle communication information terminal, understand the real-time location and working status of the vehicle personnel, and determine the vehicle most suitable for completing the transportation task;

[0043] Step 303: The logistics management server plans the best transportation route according to the road information stored in the database server, and then generates a dispatch instruction for the vehicle performing the transportation task, and issues the instruction to the vehicle communication information terminal through the 5G wireless network;

[0044] Step 304: the vehicle-mounted communication information terminal receives the dispatch instruction, and the driver drives the vehicle to the corresponding production workshop according to the instruction requirements and the planned optimal driving route to complete the transportation task of the molten aluminum.

[0045] The 5G-based liquid aluminum transportation system for an aluminum electrolytic plant of the present invention has at least the following beneficial effects:

[0046] 1. The present invention improves the intelligence level of enterprise logistics, can realize the seamless connection between workshop logistics demand and transport vehicle scheduling plan, and provide data support for enterprise logistics management, mainly providing accurate data for production scheduling, vehicle scheduling, route planning, etc., thereby improving the effectiveness and scientificity of management.

[0047] 2. The 5G wireless network adopted by the present invention has fast transmission speed, strong anti-interference ability and high transmission efficiency, which can further improve the efficiency of production data transmission.

[0048] 3. The present invention replaces the traditional extensive manual dispatching with intelligent logistics management, which can fully utilize the production potential of transportation vehicles and drivers, reduce errors caused by human factors, improve work efficiency and realize green workshop production.

[0049] 4. The present invention helps enterprises to achieve lean management. By utilizing the high speed, high bandwidth and low latency of 5G wireless networks, the intelligent logistics management and control system can accurately grasp the location, working status and logistics needs of transport vehicles in real time, and then optimize the dispatch of transport vehicles after completing data processing through the 5G wireless network, which greatly improves the efficiency of aluminum transportation and reduces the number of transport vehicles and drivers, which is beneficial to reducing the logistics costs of enterprises and improving their competitiveness.

[0050] 5. The present invention has a wide range of applications. The present invention adopts wireless network technology, which can save wiring construction and is not only suitable for new plant construction, but also for old plant reconstruction. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a structural block diagram of the 5G-based liquid aluminum transportation system of the electrolytic aluminum plant of the present invention;

[0052] Figure 2 It is a schematic diagram of the implementation of the 5G-based liquid aluminum transportation system of the electrolytic aluminum plant of the present invention.

[0053] Figure 3 It is a schematic flow chart of the 5G-based liquid aluminum transportation system of an aluminum electrolytic plant of the present invention. DETAILED DESCRIPTION

[0054] The present invention will be further explained below in conjunction with the accompanying drawings and embodiments.

[0055] The present invention is a 5G-based liquid aluminum transportation system for an aluminum electrolytic plant, including an intelligent logistics management and control system, a transport vehicle information system, and a production workshop information management system: the intelligent logistics management and control system includes a logistics management server, a database server, and a mobile client. The transport vehicle information system includes an on-board information sensor and an on-board communication information terminal. The production workshop information management system includes an electrolysis workshop information management system and a casting workshop information management system. The present invention achieves high-speed real-time data exchange among the intelligent logistics management and control system, the transport vehicle information system, and the production workshop information management system through the 5G wireless network, which can improve production efficiency, enhance the in-plant logistics transportation process and management standardization, and provide support for the optimization and integration of logistics resources, making it possible to further reduce the production costs of enterprises.

[0056] like Figure 1 As shown, the 5G-based liquid aluminum transportation system of the electrolytic aluminum plant of the present invention includes: an intelligent logistics management and control system 1, a transport vehicle information system 2 and a production workshop information management system 3.

[0057] The intelligent logistics control system 1 includes: a mobile client 11, a logistics management server 12 and a database server 13. The mobile client 11 is used for inputting, viewing, modifying and other operations of logistics control instructions, and managers can view various information of production workshops and transport vehicles at any time. The mobile client 11 can be an engineer station or a handheld device such as a Pad or a mobile phone with a 5G network wireless communication function. The logistics management server 12 has the ability to collect and process multi-source heterogeneous data in real time on demand and the ability to integrate multiple factors. The logistics management server 12 can spontaneously collect the required data on demand, and intelligently control the transportation of liquid aluminum in the factory under the drive of the database server 13, and provide dispatching instructions, route planning, work collaboration and other information to the transport vehicle through the 5G high-speed network. It is a technical center for building intelligent logistics in the factory. The database server 13 is used to store data on production needs, transportation equipment, drivers, logistics information and factory road model data.

[0058] The database server 13 has a vehicle scheduling mathematical model established therein. Under the premise of ensuring safe production, the objective function is to minimize the number of vehicles, the total distance traveled by vehicles, and the variance of the distance traveled by vehicles. The mathematical expression is:

[0059]

[0060]

[0061] min Z3=n

[0062] In the first formula, j = 1, 2, ..., m, where m is the number of tasks assigned to the vehicle in a specified time period. f1 represents the distance from the i-th task point to the foundry, and 2 times represents a round trip.

[0063] f2 represents the distance between two points; this formula describes the total distance traveled by n vehicles during operation. The second formula is to find the variance based on the distance traveled by each vehicle, in order to make the distance traveled by the vehicles as average as possible, where n is the number of vehicles and S is i represents the driving distance of each vehicle, M is the average driving distance. The third formula refers to the minimum number of transport vehicles.

[0064] Only one vehicle can be dispatched for each task. Since only one vehicle is needed to carry the bag during the actual transportation process, there is no need for multiple vehicles to coordinate the task.

[0065]

[0066] Where k represents the total number of tasks and j is the number of the dispatched vehicle. 1，k = 1, all k values ​​constitute dw 1，j The values ​​in , and arranged in order. By analogy, we can get dw 1，j All values ​​of dw 1，j The total number of is the total number of tasks.

[0067] All vehicles must complete all tasks within the specified time:

[0068] T Mi ≤T max , i∈V

[0069] in:

[0070] T Mi =max(tvc i，j ), i∈V

[0071]

[0072]

[0073] S i =2f1(dw i，j )+f2(dw i，j , dw i，j+1 ), i∈V

[0074] Regarding f1 and f2 in the objective function, the distance from the task point to the foundry and the distance from the task point to other task points are calculated respectively. When the intelligent logistics management server assigns the transportation vehicle task, the shortest path is calculated according to the vehicle position. In order to solve the shortest path problem, the present invention adopts the Dijkstra algorithm, the basic idea of ​​which is to search step by step according to the increase of the path length to find the shortest path, and finally obtain the shortest path through continuous iteration and continuous search of the shortest distance.

[0075] First, assume the key path points according to the problem, get the key points, and find the key path. You need to go from the starting point to the end point. The length of each path is known. According to the algorithm, it can be summarized into the following steps:

[0076] (1) Take the starting point as the search point and search to find all points within the non-search point range that are connected to the search point.

[0077] (2) Based on the length of the path, the non-search point is used as the new search point and the range is updated.

[0078] (3) Find a feasible point within the search point range, go to the new point, calculate the shortest position, and repeat this process until the search reaches the end point.

[0079] The transport vehicle information system 2 includes: an on-board information sensor 21 and an on-board communication information terminal 22. The on-board information sensor 21 is used to collect the vehicle's operating status and position, as well as the weight of the loaded liquid aluminum, and synchronously upload the data information collected on site to the on-board communication information terminal. The on-board communication information terminal 22 is used to receive data information from the on-board information sensor. The on-board communication information terminal has a wireless communication interface, which uploads information to the intelligent logistics management and control system through a 5G wireless network, and receives instructions from the intelligent logistics management and control system, transportation route planning and other information through wireless communication. The on-board communication information terminal 22 has an LCD touch screen. The driver can easily obtain scheduling instructions, transportation routes and other information from it.

[0080] The production workshop information management system 3 includes: an electrolysis workshop information management system 31 and a casting workshop information management system 32. The electrolysis workshop information management system 31 is used to collect information such as the production status of the electrolysis workshop and the demand for aluminum output; the casting workshop information management system 32 is used to collect information such as the production status of the casting workshop and the demand for aluminum liquid; the two systems 31 and 32 upload information to the intelligent logistics management and control system 1 through the 5G wireless network.

[0081] like Figure 3 The figure shows a schematic diagram of the process of the 5G-based liquid aluminum transportation system of the electrolytic aluminum plant of the present invention. The basic process of the 5G-based liquid aluminum transportation system of the electrolytic aluminum plant is as follows:

[0082] In step 301, the logistics management server 12 understands the logistics demand through real-time communication with the production workshop, and determines whether it is necessary to issue scheduling instructions to the transportation vehicles. When the judgment result is yes, it triggers the execution of the next step 302; when the judgment structure is no, the current process ends and continues to re-trigger the next new step 301.

[0083] Step 302, through the vehicle and driver information in the database server 13, the dispatchable vehicles are screened, and the real-time location and working status of the vehicle personnel are understood through the vehicle communication information terminal 22 to determine the vehicle most suitable for completing the transportation task.

[0084] Step 303, the logistics management server 12 plans the best transportation route according to the road information stored in the database server 13, and then generates a dispatch instruction for the vehicle performing the transportation task, and issues the instruction to the vehicle communication information terminal 22 through the 5G wireless network.

[0085] Step 304: the vehicle communication information terminal 22 receives the dispatch instruction, and the driver drives the vehicle to the corresponding production workshop according to the instruction requirements and the planned optimal driving route to complete the transportation task of the molten aluminum.

[0086] As indicated Figure 3 The described 5G-based liquid aluminum transportation system for an aluminum electrolytic plant realizes intelligent scheduling of transportation vehicles. When it is determined that the logistics demand of a workshop needs to be determined and a vehicle scheduling instruction needs to be generated, the vehicle scheduling instruction can be automatically generated, and the instruction can be automatically sent to the on-board communication information terminal 22 of the corresponding vehicle. This can facilitate the vehicle driver to drive the vehicle to the production workshop with logistics demand in a timely manner, thereby improving the scheduling efficiency and accuracy of the vehicle. Especially during the peak transportation volume period, by timely scheduling vehicles, it is helpful to reduce the waiting time of the transportation vehicle and ensure the efficient operation of aluminum tapping and casting operations. In addition, by planning the optimal transportation route through the logistics management server 12, it is helpful for the driver to drive the vehicle to the corresponding production workshop smoothly, reduce the occurrence of road congestion, standardize the scheduling and management of vehicles, and help further improve the efficiency and accuracy of vehicle scheduling.

[0087] like Figure 2 As shown, it is a schematic diagram of the implementation of the 5G-based liquid aluminum transportation system of the electrolytic aluminum plant of the present invention. In the specific implementation, the equipment of the intelligent logistics control system 1 is set in the control center of the whole plant, and communicates with the transport vehicle information system 2 and the production workshop information management system 3 in real time through the 5G wireless network.

[0088] The production workshop information management system 3 collects the production situation of the workshop in real time, and predicts the demand for liquid aluminum transportation based on the production situation. When the electrolytic workshop information management system 31 detects that there is a demand for aluminum, it uploads a signal to the intelligent logistics management and control system 1, and the intelligent logistics management and control system 1 sends an instruction to the transport vehicle information system 2 to dispatch a transport vehicle to the electrolytic workshop for aluminum transportation; similarly, when the foundry workshop information management system 32 detects that the workshop aluminum liquid storage is insufficient, it uploads a signal to the intelligent logistics management and control system 1, and the intelligent logistics management and control system 1 sends an instruction to the transport vehicle information system 2 to dispatch a transport vehicle to transport aluminum liquid from the electrolytic workshop to the foundry.

[0089] The intelligent logistics control system 1 will collect various information during the transfer of molten aluminum, including molten aluminum weight information, vehicle status information, task requirement information, etc. The system will optimize the liquid aluminum transfer decision within the plant by analyzing and processing various information, and improve the efficiency of liquid aluminum transfer. When an unexpected situation occurs during the transfer of liquid aluminum, the system will receive a notification at the first time and take immediate countermeasures to provide safety protection for the entire liquid aluminum transfer system. The data from the sensors on the transport vehicle can be sent to the intelligent logistics control system 1 through the 5G network. The management system analyzes and processes the data, and finally sends the results of the data analysis back to the vehicle, reducing the pressure on the transport vehicle information system 2 to process data, and at the same time making the entire transportation system more efficient and faster.

[0090] The above description is only a preferred embodiment of the present invention and is not intended to limit the concept of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. The 5G-based liquid aluminum transportation system for aluminum smelters is characterized by: Including intelligent logistics management and control system, transport vehicle information system, and production workshop information management system; The intelligent logistics management and control system is used for the management and scheduling of liquid aluminum transportation within the plant; The transport vehicle information system is used to collect the status of the sending vehicle and the information of the loaded liquid aluminum, and can receive the dispatch instruction information; The production workshop information management system is used to collect and send workshop production information; The intelligent logistics management and control system, the transport vehicle information system, and the production workshop information management system are connected by a 5G high-speed wireless network; The intelligent logistics management and control system includes: a logistics management server, a database server and a mobile client; The logistics management server is used for the transportation management of liquid aluminum in the factory, including processing the information uploaded by the transport vehicle and the production workshop, and issuing instructions to the transport vehicle; The database server is used to store data on production requirements, data on transportation equipment, data on drivers, data on logistics information, and data on factory road models; The mobile client is a device with wireless communication function, which is used for inputting, viewing and modifying logistics control instructions; The database server establishes a vehicle scheduling mathematical model, and takes minimizing the number of vehicles, minimizing the total driving distance of vehicles, and minimizing the variance of vehicle driving distance as the objective function under the premise of ensuring safe production. Its mathematical expression is: In the first formula, Z1 is the total distance traveled by the vehicle, j=1,2,…,m, where m is the number of tasks assigned to the vehicle in a specified time period, f 1 represents a vehicle i No. j The distance from the task point of each task to the foundry, f 2 represents the distance between two points; in the second formula, Z2 is the variance of the vehicle's travel distance, n is the number of vehicles, S i represents the driving distance of each vehicle, M is the average driving distance; in the third formula, Z3 is the minimum number of vehicles required, and n is the number of vehicles; Each mission can only dispatch one vehicle, so Among them, k represents the total number of tasks, j is the task number, and in the set X, when X i,k = 1, all k values ​​constitute dw i,j The values ​​in , and arrange them in order, and so on, to get dw i,j All values ​​of dw i,j The total number of is the total number of tasks; All vehicles must complete all tasks within the specified time, if: in: In the formula, T Z It indicates the time taken by the transport vehicle to load the liquid aluminum, T X It represents the time taken by the transport vehicle to unload the liquid aluminum, T ZZ is the time spent by the transport vehicle in the foundry, T Mi It represents the maximum time to complete the task in the i-th vehicle, T max Indicates the maximum completion time, tv i,j It indicates the time when the i-th vehicle performs the j-th task in its task schedule, tvc i,j represents the time when the i-th vehicle completes its j-th task, tr i,j V represents the time taken by the i-th vehicle to perform the j-th task corresponding to the vehicle. speed Indicates the average speed of each vehicle during transportation; Among them, f1 and f2 in the objective function respectively calculate the distance from the task point to the foundry and the distance from the task point to other task points. When the intelligent logistics management server assigns the transportation vehicle task, the shortest path is calculated according to the vehicle position; The shortest path calculation is to search step by step as the path length increases, find the shortest path, and finally obtain the shortest path by continuous iteration and continuous search of the shortest distance, including the following steps: (1) Take the starting point as the search point and search to find all points within the non-search point range that are connected to the search point; (2) Based on the length of the path, the non-search point is used as the new search point and the range is updated; (3) Find a feasible point within the search point range, go to the new point, calculate the shortest location, and repeat this process until the search reaches the end point.

2. The 5G-based liquid aluminum transportation system for an aluminum electrolysis plant according to claim 1, characterized in that: The transport vehicle information system includes: a vehicle-mounted information sensor and a vehicle-mounted communication information terminal; The vehicle-mounted information sensor is used to collect the vehicle's operating status and position, as well as the weight of the loaded liquid aluminum, and synchronously upload the data information collected on site to the vehicle-mounted communication information terminal; The on-board communication information terminal is used to receive data information from the on-board information sensor. The on-board communication information terminal has a wireless communication interface, which uploads information to the intelligent logistics management and control system through the 5G wireless network, and receives instructions and transportation route planning information from the intelligent logistics management and control system through wireless communication.

3. The 5G-based liquid aluminum transportation system for an aluminum electrolysis plant according to claim 1, characterized in that: The production workshop information management system includes: an electrolysis workshop information management system and a casting workshop information management system; The electrolysis workshop information management system is used to collect the production status and aluminum demand information of the electrolysis workshop, and upload the information to the intelligent logistics management and control system through the 5G wireless network; The foundry information management system is used to collect the foundry production status and aluminum liquid demand information, and upload the information to the intelligent logistics management and control system through the 5G wireless network.

4. The 5G-based liquid aluminum transportation system for an aluminum electrolysis plant according to claim 1, characterized in that: The system process includes the following steps: Step 301, the logistics management server learns about the logistics demand through real-time communication with the production workshop, and determines whether it is necessary to issue a dispatch instruction to the transport vehicle. When the judgment result is yes, the next step 302 is triggered; when the judgment structure is no, the current process ends and continues to re-trigger the next new step 301; Step 302, through the vehicle and driver information in the database server, filter the dispatchable vehicles, and through the vehicle communication information terminal, understand the real-time location and working status of the vehicle personnel, and determine the vehicle most suitable for completing the transportation task; Step 303: The logistics management server plans the best transportation route according to the road information stored in the database server, and then generates a dispatch instruction for the vehicle performing the transportation task, and issues the instruction to the vehicle communication information terminal through the 5G wireless network; Step 304: the vehicle-mounted communication information terminal receives the dispatch instruction, and the driver drives the vehicle to the corresponding production workshop according to the instruction requirements and the planned optimal driving route to complete the transportation task of the molten aluminum.

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