Network freight intelligent scheduling optimization method and system

Abstract

The invention provides a network freight intelligent scheduling optimization method and system, and relates to the technical field of logistics distribution scheduling, the optimization system comprises a cargo information acquisition unit, a processing server and a tracking system, the cargo information acquisition unit transmits cargo information to the processing server through a client, and the processing server transmits the cargo information to the tracking system; a scheduling database and a transportation management system are constructed in the processing server, the tracking system comprises a cargo pressure monitoring module and a GPS tracking module, and the cargo pressure monitoring module and the GPS tracking module are both installed on a reinforced tracking device. And the intelligent development of the logistics industry can be promoted. The auxiliary reinforcing effect on vertically-stacked or horizontally-stacked cargoes can be achieved, the transportation state data of the cargoes can be fed back in real time in the whole dispatching process, the safety and reliability of freight transportation are improved, and flexible regulation and control can be conducted according to the placement form of the cargoes.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics distribution scheduling, and specifically to a network freight intelligent scheduling optimization method and system. Background Art

[0002] Intelligent dispatching of online freight transport effectively integrates logistics resources by utilizing cutting-edge technologies such as big data, cloud computing and artificial intelligence, and innovatively applies them to transport organization modes such as multimodal transport, drop-and-hook transport and joint distribution, greatly improving the operational efficiency of the logistics industry and promoting the scale and intensification of transport production. The application of these technologies not only provides real-time data support for the platform and helps accurately analyze market demand, but also ensures that goods can be tracked throughout the entire process and improves transportation safety; it optimizes transportation plans through intelligent algorithms, further reduces operating costs, and promotes the sustainable development and innovation of the logistics industry.

[0003] The core of the existing network freight intelligent dispatching solution is to use technologies such as the Internet of Things, artificial intelligence, big data and cloud computing to realize the informatization and intelligence of logistics and transportation. However, it is impossible to lock the storage status information of the goods in real time during transportation, and it is difficult to ensure whether the overall status of the goods has changed during transportation. The current status of the goods cannot be effectively explored, and it is impossible to effectively judge when the goods are transferred, disassembled or moved during the freight process. It is even more impossible to detect the placement status of the goods during transportation, so as to obtain the real-time status information of the goods, and the data collection is not comprehensive enough. Summary of the invention

[0004] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a network freight intelligent scheduling optimization method and system to solve the problems raised in the above background technology. The present invention improves the transportation efficiency and reliability of network freight, reduces logistics costs, and can promote the intelligent development of the logistics industry. It can achieve auxiliary reinforcement effects for vertically stacked or horizontally stacked goods, and can provide real-time feedback on the transportation status data of the goods during the entire scheduling process, thereby improving the safety and reliability of freight.

[0005] In order to achieve the above-mentioned purpose, the present invention is implemented through the following technical solutions: a network freight intelligent scheduling optimization system, the optimization system includes a cargo information collection unit, a processing server and a tracking system, the cargo information collection unit transmits the cargo information to the processing server through the client, and a scheduling database and a transportation management system are constructed in the processing server, the tracking system includes a cargo pressure monitoring module and a GPS tracking module, the cargo pressure monitoring module and the GPS tracking module are both installed on a reinforced tracking device, the reinforced tracking device includes a mounting base, an inner telescopic mechanism, an outer telescopic mechanism and an independent positioning component, an adjustment groove is opened on the inner side of the outer telescopic frame, the end of the inner telescopic mechanism is embedded in the interior of the adjustment groove, a pressure monitoring component is installed in the interior of the adjustment groove, the cargo pressure monitoring module is fixed at the end of the inner telescopic mechanism, the top of the mounting mechanism passes through the surface of the inner telescopic mechanism, and the side of the outer telescopic mechanism is movably connected with multiple independent positioning components.

[0006] Furthermore, the outer telescopic mechanism includes an outer frame, a fixed splint and an adjusting screw, a docking hole is opened at one end of the adjusting groove, the fixed splint is integrally formed at the end of the outer frame, a clamping plate is integrally formed on the surface of the adjusting screw, and a guide rod is welded to the side of the outer frame.

[0007] Furthermore, the adjusting screw is integrally embedded in the docking hole, and a lever is welded to the end of the adjusting screw. The clamping plate is clamped at the end of the outer frame, and the GPS tracking module is screwed to the surface of the outer frame.

[0008] Furthermore, the mounting base includes a bottom plate and a sliding shaft, a column is welded on the surface of the bottom plate, the sliding shaft is integrally formed on the top side of the column, and a limiting convex disc is installed on the surface of the sliding shaft.

[0009] Furthermore, the inner telescopic mechanism includes an inner frame and a movable splint, a rotating shaft is integrally formed on one side of the movable splint, and the movable splint is embedded in the end of the inner frame through the rotating shaft, a movable groove is opened in the middle of the inner frame, the sliding shaft is embedded in the inside of the movable groove, the limiting convex discs are respectively clamped on both sides of the movable groove, and the cargo pressure monitoring module is screwed to one end of the inner frame.

[0010] Furthermore, the pressure monitoring assembly includes a telescopic sleeve and an extrusion column, a sliding plate is integrally formed at one end of the telescopic sleeve, and the extrusion column is integrally formed on the other side of the sliding plate. The end of the adjusting screw is embedded in the interior of the telescopic sleeve, and the sliding plate is embedded in the interior of the adjusting groove. The surface of the extrusion column is sleeved with a first spring, and the end of the first spring is connected to the surface of the cargo pressure monitoring module.

[0011] Furthermore, the independent positioning component includes a sliding seat and a plug-in plate, the side of the sliding seat is integrally formed with the plug-in plate, both sides of the plug-in plate are provided with sliding grooves, and pressing plates are installed on both sides of the plug-in plate, and one side of the pressing plate is integrally formed with a protrusion.

[0012] Furthermore, a second spring is connected to the side of the pressing plate, the guide rod passes through the inside of the sliding seat, the second spring is connected to the surface of the sliding seat, a conductive contact is mounted on the top of the pressing plate, and the surfaces of the two conductive contacts on the pressure monitoring assembly are aligned.

[0013] A scheduling optimization method using the above optimization system comprises the following steps:

[0014] Step 1: Collect factors such as vehicle loading capacity, cargo urgency, road condition information, etc., and adjust the vehicle's delivery route and loading plan based on the above data to improve transportation efficiency;

[0015] Step 2: Use IoT technology combined with a dispatch tracking system to monitor the real-time location and status of vehicles, and adjust the vehicle route in real time to avoid congested sections and reduce transportation risks;

[0016] Step 3: Utilize the collaborative decision-making capabilities of multiple intelligent agents in the intelligent logistics system to uniformly dispatch transportation vehicles and goods to improve overall transportation efficiency;

[0017] Step 4: Provide real-time visual display function, so that users can clearly understand the current capacity allocation and order status, so as to adjust the dispatch strategy in time;

[0018] Step 5: Integrate various cargo and vehicle information into the dispatching system, and improve the accuracy and efficiency of the dispatching system by continuously updating parameters and strategies;

[0019] Step 6. Provide multi-terminal operation procedures for carriers, shippers, and drivers, and build a real-time feedback mechanism so that users can easily get started and understand the dispatch results in a timely manner.

[0020] Furthermore, in the step 2, big data, machine learning and other technologies are used to conduct in-depth analysis of historical transportation data, driver information, road conditions and other factors to predict future transportation demand and road condition changes, and provide data support for scheduling decisions; in the step 4, abnormal situations in the transportation process, such as vehicle failures, traffic accidents, etc., are monitored in real time, and warnings are issued in a timely manner and corresponding response measures are taken.

[0021] Beneficial effects of the present invention:

[0022] 1. This network freight intelligent dispatch optimization method integrates a complex system of algorithm optimization, data analysis, real-time monitoring, collaborative dispatch and visual display. It integrates the data between shippers, drivers and carriers, and provides a simple, efficient and independent operating system and operation screen. By optimizing and improving these methods and technologies, the transportation efficiency and reliability of network freight can be further improved, logistics costs can be reduced, and the intelligent development of the logistics industry can be promoted.

[0023] 2. The present invention provides a tracking system for the transportation of goods, in which a reinforcement tracking device is bound to the goods. With the help of the telescopic mechanism in the reinforcement tracking device, effective clamping support can be provided for horizontally or vertically stacked goods to help improve the installation stability of the goods. At the same time, with the help of a built-in cargo pressure monitoring module, in conjunction with the above-mentioned clamping effect, it can be detected when the goods are artificially opened or shaken significantly during transportation, thereby improving the safety and reliability of freight transportation, and can provide real-time feedback on the transportation status data of the goods during the entire scheduling process.

[0024] 3. The present invention can achieve an auxiliary reinforcement effect on vertically stacked or horizontally stacked goods, further improving the stability during the freight process; when the goods are artificially opened or shaken significantly during transportation, it can be detected in time, and the transportation status data of the goods can be fed back in real time during the entire scheduling process, thereby improving the safety and reliability of freight. At the same time, the lateral and longitudinal deviations of the goods can be accurately detected, thereby improving the safety and reliability of the cargo scheduling and transportation process. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A flowchart of a network freight intelligent scheduling optimization method of the present invention;

[0026] Figure 2 This is a principle block diagram of a network freight intelligent scheduling optimization system of the present invention;

[0027] Figure 3 It is a structural diagram of the reinforced tracking device in the dispatching system of the present invention when it is installed horizontally;

[0028] Figure 4 This is a structural diagram of the reinforced tracking device in the dispatching system of the present invention when it is installed vertically;

[0029] Figure 5 It is a cross-sectional view of the outer layer telescopic mechanism part of the present invention;

[0030] Figure 6 It is a connection diagram of the inner layer telescopic mechanism and the mounting base part of the present invention;

[0031] Figure 7It is a structural schematic diagram of the independent positioning component part of the present invention;

[0032] Figure 8 It is a structural schematic diagram of the pressing plate part of the present invention;

[0033] In the figure: 1. Mounting base; 2. Inner telescopic mechanism; 3. Outer telescopic mechanism; 4. Independent positioning assembly; 5. Pressure monitoring assembly; 6. GPS tracking module; 7. Outer frame; 8. Fixed splint; 9. Adjustment slot; 10. Docking hole; 11. Adjustment screw; 12. Push rod; 13. Card; 14. Telescopic sleeve; 15. Sliding plate; 16. Extrusion column; 17. First spring; 18. Inner frame; 19. Cargo pressure monitoring module; 20. Movable slot; 21. Rotating shaft; 22. Movable splint; 23. Bottom plate; 24. Column; 25. Sliding shaft; 26. Limiting cam; 27. Sliding seat; 28. Guide rod; 29. ​​Plug-in board; 30. Slide slot; 31. Press plate; 32. Second spring; 33. Conductive contact; 34. Bump. DETAILED DESCRIPTION

[0034] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0035] See also Figures 1 to 8 The present invention provides the following technical solutions: an intelligent scheduling optimization system for network freight, the optimization system includes a cargo information collection unit, a processing server and a tracking system, the cargo information collection unit transmits cargo information to the processing server through a client, a scheduling database and a transportation management system are constructed in the processing server, the tracking system includes a cargo pressure monitoring module 19 and a GPS tracking module 6, the cargo pressure monitoring module 19 and the GPS tracking module 6 are both installed on a reinforced tracking device, the reinforced tracking device includes a mounting base 1, an inner telescopic mechanism 2, an outer telescopic mechanism 3 and an independent positioning component 4, an adjustment groove 9 is opened on the inner side of the outer telescopic frame, the end of the inner telescopic mechanism 2 is embedded in the adjusting groove 9, a pressure monitoring component 5 is installed in the adjusting groove 9, the cargo pressure monitoring module 19 is fixed at the end of the inner telescopic mechanism 2, the top of the mounting mechanism passes through the surface of the inner telescopic mechanism 2, and the side of the outer telescopic mechanism 3 is movably connected with multiple independent positioning components 4. The network freight intelligent scheduling and optimization system is applied to the scheduling and transportation process of network goods. At the beginning of transportation, the reinforced tracking equipment is installed on the transport vehicle to perform real-time positioning and tracking of the transported goods. Based on the cargo pressure monitoring module 19 and GPS tracking module 6 in the system, the location information of the goods and the placement status information during transportation can be obtained in real time.

[0036] When the present invention is used, in the initial stage of dispatching transportation, when placing the goods on the transport vehicle, it is necessary to place the reinforcement tracking device on the surface of the vehicle in advance, and select the horizontal and vertical installation forms according to the specific placement form of the goods. When the goods are placed horizontally and side by side, the two ends of the placed goods are clamped and fixed by the reinforcement tracking device, and the position between each adjacent goods is initially positioned by means of the independent positioning component 4. At this time, Figure 3 As shown in the figure, when the goods need to be stacked vertically, the two telescopic mechanisms are controlled to rotate so that the entire device remains vertical, forming a Figure 4 state, in which the top of the cargo can be pressed downward, so as to achieve the purpose of fixing the cargo pressure monitoring module 19 and the GPS tracking module 6 by relying on the cargo, and any installation form can provide pressure to the mounting base 1 part through the cargo itself, so as to ensure that the entire tracking device is always kept in a fixed position during the subsequent scheduling and transportation process, thereby improving stability, and in the process of transportation, with the help of the pressure monitoring component 5, timely detection can be made as to whether the cargo inside has been disassembled or removed midway, whether there has been any deviation, large-scale shaking, and other abnormal phenomena during transportation.

[0037] In this embodiment, the outer telescopic mechanism 3 includes an outer frame 7, a fixed clamping plate 8 and an adjusting screw 11. A docking hole 10 is opened at one end of the adjusting slot 9. The fixed clamping plate 8 is integrally formed at the end of the outer frame 7. A clamping plate 13 is integrally formed on the surface of the adjusting screw 11. A guide rod 28 is welded to the side of the outer frame 7. The adjusting screw 11 is integrally embedded in the docking hole 10, and a lever 12 is welded to the end of the adjusting screw 11. The clamping plate 13 is clamped at the end of the outer frame 7. The GPS tracking module 6 is screwed to the surface of the outer frame 7. Specifically, the outer telescopic mechanism 3 is used to cooperate with the inner telescopic mechanism 2 to adjust the distance between the fixed clamp 8 and the movable clamp 22, so that when the inner cargo is clamped in a horizontal state, by directly pulling the outer frame 7 and cooperating with the rotating lever 12, the length of the connection between the adjusting screw 11 and the threaded sleeve is changed, thereby ensuring that the fixed clamp 8 and the movable clamp 22 can maintain clamping on both sides of the cargo, thereby achieving the installation purpose of the entire device.

[0038] In this embodiment, the mounting base 1 includes a bottom plate 23 and a sliding shaft 25, a column 24 is welded on the surface of the bottom plate 23, the sliding shaft 25 is integrally formed on the top side of the column 24, and a limiting convex plate 26 is installed on the surface of the sliding shaft 25. The inner layer telescopic mechanism 2 includes an inner layer frame 18 and a movable splint 22, a rotating shaft 21 is integrally formed on one side of the movable splint 22, and the movable splint 22 is embedded in the end of the inner layer frame 18 through the rotating shaft 21, a movable groove 20 is opened in the middle of the inner layer frame 18, the sliding shaft 25 is embedded in the inside of the movable groove 20, the limiting convex plates 26 are respectively clamped on both sides of the movable groove 20, and the cargo pressure monitoring module 19 is screwed to one end of the inner layer frame 18. The pressure monitoring assembly includes a telescopic sleeve 14 and a squeeze column 16. A sliding plate 15 is integrally formed at one end of the telescopic sleeve 14, and the squeeze column 16 is integrally formed at the other side of the sliding plate 15. The end of the adjusting screw 11 is embedded in the telescopic sleeve 14, and the sliding plate 15 is embedded in the adjusting groove 9. The surface of the squeeze column 16 is sleeved with a first spring 17, and the end of the first spring 17 is connected to the surface of the cargo pressure monitoring module 19. A tracking system is provided for the transportation of cargo. The system is based on binding the cargo with the reinforced tracking device. With the help of the telescopic mechanism in the reinforced tracking device, effective clamping support can be provided for the cargo stacked horizontally or vertically to assist in improving the installation stability of the cargo. At the same time, with the help of the built-in cargo pressure monitoring module 19, in combination with the above-mentioned clamping effect, the cargo can be detected when it is opened artificially or shakes greatly during transportation, thereby improving the safety and reliability of cargo transportation, and the transportation status data of the cargo can be fed back in real time during the entire dispatching process.

[0039] Specifically, when the entire fixed tracking device needs to be installed in a vertical posture, the movable splint 22 is rotated to be in the same screen as the inner frame 18. At this time, the movable splint 22 and the fixed splint 8 are staggered, and the two telescopic mechanisms are rotated to be in a vertical state, and then the bottom fixed splint 8 can be pressed on the top of the cargo. In addition, in the tracking device, the sliding plate 15 is pulled along the adjustment slot 9 by the first spring 17, and one end of the pressure column is pressed against the cargo pressure monitoring module 19. At this time, a fixed pressure value can be monitored by the cargo pressure monitoring module 19. Later, when the cargo is disassembled, removed, or has a large horizontal shaking during transportation, the extension length of the telescopic mechanism will change, and then the first spring 17 will be stretched or compressed. After acting on the cargo pressure monitoring module 19, it will cause a large change in pressure data, and then it can be remotely judged whether the cargo as a whole is abnormal.

[0040] In this embodiment, the independent positioning component 4 includes a sliding seat 27 and a plug-in board 29. The plug-in board 29 is integrally formed on the side of the sliding seat 27. The plug-in board 29 is provided with a slide groove 30 on both sides. A pressing plate 31 is installed on both sides of the plug-in board 29. A protrusion 34 is integrally formed on one side of the pressing plate 31. The side of the pressing plate 31 is connected with a second spring 32. The guide rod 28 passes through the inside of the sliding seat 27. The second spring 32 is connected to the surface of the sliding seat 27. A conductive contact is mounted on the top of the pressing plate 31. The surfaces of the two conductive contacts 33 on the pressure monitoring component are aligned. The auxiliary reinforcement effect of vertically stacked or horizontally stacked goods can be achieved, and the stability during the freight process is further improved. When the goods are opened manually or shaken greatly during transportation, it can be detected in time. The transportation status data of the goods can be fed back in real time during the entire dispatching process, which improves the safety and reliability of freight transportation. At the same time, the lateral and longitudinal displacements of the goods can be accurately detected, which improves the safety and reliability of the goods dispatching and transportation process.

[0041] Specifically, when installing the goods, the plug-in board 29 is directly embedded between two adjacent goods, and the pressing plates 31 on both sides of the plug-in board 29 are pushed against the surface of the goods by the second spring 32. At this time, the two adjacent goods are aligned with each other, and the conductive contacts 33 on the top of the two pressing plates 31 can be fitted and contacted with each other. At this time, it can be judged that the goods are in an aligned state. When any of the goods is longitudinally offset during the subsequent scheduling and transportation process, the adjacent goods are staggered. At this time, under the action of the second spring 32, the pressing plates 31 fitted with each goods will be staggered, which will cause the two conductive contacts 33 to be disconnected, thereby generating a disconnection signal to identify abnormal problems with the current goods.

[0042] This embodiment also provides a scheduling optimization method using the above optimization system, comprising the following steps:

[0043] Step 1: Collect factors such as vehicle loading capacity, cargo urgency, road condition information, etc., and adjust the vehicle's delivery route and loading plan based on the above data to improve transportation efficiency;

[0044] Step 2: Use IoT technology combined with the dispatch tracking system to monitor the real-time location and status of vehicles, and make real-time adjustments to vehicle routes to avoid congested roads and reduce transportation risks. Use big data and machine learning technologies to conduct in-depth analysis of historical transportation data, driver information, road conditions and other factors, predict future transportation demand and road condition changes, and provide data support for dispatch decisions.

[0045] Step 3: Utilize the collaborative decision-making capabilities of multiple intelligent agents in the intelligent logistics system to uniformly dispatch transportation vehicles and goods to improve overall transportation efficiency;

[0046] Step 4: Provide real-time visual display function, so that users can clearly understand the current capacity allocation and order status, so as to adjust the dispatch strategy in time, monitor abnormal situations in the transportation process in real time, such as vehicle failures, traffic accidents, etc., and issue early warnings in time and take corresponding countermeasures;

[0047] Step 5: Integrate various cargo and vehicle information into the dispatching system, improve the accuracy and efficiency of the dispatching system by continuously updating parameters and strategies, and establish a structural framework including data collection layer, data processing layer, decision layer and execution layer to ensure the stability and efficiency of the system;

[0048] Step 6. Provide multi-terminal operation procedures for carriers, shippers, and drivers, and build a real-time feedback mechanism so that users can easily get started and understand the scheduling results in a timely manner. At the same time, they can also obtain real-time positioning information of vehicles and goods during the scheduling and transportation process, as well as the status information of the current transportation of the goods in the shipper's client.

[0049] The network freight intelligent dispatch optimization method integrates a complex system of algorithm optimization, data analysis, real-time monitoring, collaborative dispatch and visual display. It integrates the data between shippers, drivers and carriers, and provides a simple, efficient and independent operating system and operation screen. By optimizing and improving these methods and technologies, the transportation efficiency and reliability of network freight can be further improved, logistics costs can be reduced, and the intelligent development of the logistics industry can be promoted.

[0050] The basic principles and main features of the present invention and the advantages of the present invention are shown and described above. For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention.

[0051] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A network freight intelligent dispatching optimization system, characterized by: The optimization system includes a cargo information collection unit, a processing server and a tracking system. The cargo information collection unit transmits cargo information to the processing server through a client. A scheduling database and a transportation management system are constructed in the processing server. The tracking system includes a cargo pressure monitoring module and a GPS tracking module. Both the cargo pressure monitoring module and the GPS tracking module are installed on a reinforced tracking device. The reinforced tracking device includes a mounting base, an inner telescopic mechanism, an outer telescopic mechanism and an independent positioning component. An adjustment groove is provided on the inner side of the outer telescopic frame. The end of the inner telescopic mechanism is embedded in the adjusting groove. A pressure monitoring component is installed in the adjusting groove. The cargo pressure monitoring module is fixed to the end of the inner telescopic mechanism. The top of the mounting mechanism passes through the surface of the inner telescopic mechanism. The side of the outer telescopic mechanism is movably connected with multiple independent positioning components.

2. According to claim 1, a network freight intelligent scheduling optimization system is characterized by: The outer telescopic mechanism includes an outer frame, a fixed splint and an adjusting screw. A docking hole is opened at one end of the adjusting groove. The fixed splint is integrally formed at the end of the outer frame. A clamping plate is integrally formed on the surface of the adjusting screw. A guide rod is welded to the side of the outer frame.

3. According to claim 2, a network freight intelligent scheduling optimization system is characterized by: The adjusting screw is entirely embedded in the docking hole, and a lever is welded to the end of the adjusting screw. The clamping plate is clamped at the end of the outer frame, and the GPS tracking module is screwed to the surface of the outer frame.

4. According to claim 2, a network freight intelligent scheduling optimization system is characterized by: The mounting base comprises a bottom plate and a sliding shaft, a column is welded on the surface of the bottom plate, the sliding shaft is integrally formed on one side of the top of the column, and a limiting convex disc is installed on the surface of the sliding shaft.

5. The network freight intelligent dispatching optimization system according to claim 4 is characterized by: The inner layer telescopic mechanism includes an inner layer frame and a movable splint, a rotating shaft is integrally formed on one side of the movable splint, and the movable splint is embedded in the end of the inner layer frame through the rotating shaft, a movable groove is opened in the middle of the inner layer frame, the sliding shaft is embedded in the inside of the movable groove, the limiting convex discs are respectively clamped on both sides of the movable groove, and the cargo pressure monitoring module is screwed on one end of the inner layer frame.

6. The network freight intelligent dispatching optimization system according to claim 5 is characterized by: The pressure monitoring assembly includes a telescopic sleeve and an extrusion column, one end of the telescopic sleeve is integrally formed with a sliding plate, and the extrusion column is integrally formed on the other side of the sliding plate, the end of the adjusting screw is embedded in the interior of the telescopic sleeve, and the sliding plate is embedded in the interior of the adjusting groove, and the surface of the extrusion column is sleeved with a first spring, and the end of the first spring is connected to the surface of the cargo pressure monitoring module.

7. The network freight intelligent dispatching optimization system according to claim 2 is characterized by: The independent positioning component includes a sliding seat and a plug-in plate, the side of the sliding seat is integrally formed with a plug-in plate, both sides of the plug-in plate are provided with sliding grooves, and pressing plates are installed on both sides of the plug-in plate, and one side of the pressing plate is integrally formed with a protrusion.

8. The network freight intelligent dispatching optimization system according to claim 7 is characterized by: A second spring is connected to the side of the pressing plate, the guide rod passes through the inside of the sliding seat, the second spring is connected to the surface of the sliding seat, a conductive contact is mounted on the top of the pressing plate, and the surfaces of the two conductive contacts on the pressure monitoring assembly are aligned.

9. A scheduling optimization method using the optimization system as claimed in claim 1, characterized in that: The following steps are involved: Step 1: Collect factors such as vehicle loading capacity, cargo urgency, road condition information, etc., and adjust the vehicle's delivery route and loading plan based on the above data to improve transportation efficiency; Step 2: Use IoT technology combined with a dispatch tracking system to monitor the real-time location and status of vehicles, and adjust the vehicle route in real time to avoid congested sections and reduce transportation risks; Step 3: Utilize the collaborative decision-making capabilities of multiple intelligent agents in the intelligent logistics system to uniformly dispatch transportation vehicles and goods to improve overall transportation efficiency; Step 4: Provide real-time visual display function, so that users can clearly understand the current capacity allocation and order status, so as to adjust the dispatch strategy in time; Step 5: Integrate various cargo and vehicle information into the dispatching system, and improve the accuracy and efficiency of the dispatching system by continuously updating parameters and strategies; Step 6. Provide multi-terminal operation procedures for carriers, shippers, and drivers, and build a real-time feedback mechanism so that users can easily get started and understand the dispatch results in a timely manner.

10. The scheduling optimization method according to claim 9, characterized in that: In the step 2, big data, machine learning and other technologies are used to conduct in-depth analysis of historical transportation data, driver information, road conditions and other factors to predict future transportation demand and road condition changes, and provide data support for scheduling decisions; in the step 4, abnormal situations in the transportation process, such as vehicle failures, traffic accidents, etc., are monitored in real time, and warnings are issued in a timely manner and corresponding response measures are taken.

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