A whole-process management and control method and system for logistics transportation process

Abstract

The application relates to the technical field of logistics transportation scheduling, in particular to a whole-process management and control method and system for a logistics transportation process. The method comprises the following steps: determining a destination, a deadline for receiving goods and equipment information of a distribution device based on acquired logistics work orders; the equipment information comprises equipment quality and equipment size; calling a matched vehicle according to the equipment size, and determining a maximum driving speed according to the equipment quality and the quality of the matched vehicle; performing available path planning according to the distance of the destination, the deadline for receiving goods and the maximum driving speed; executing a first path selection strategy based on the planned available path, eliminating the current distribution path in the case that the logistics distribution is blocked, and performing secondary selection of the distribution path according to the first path selection strategy, so that the problem that the safety of the vehicle in the logistics transportation process of heavy equipment is not considered in the existing logistics transportation management and control mode is effectively avoided.

Description

Technical Field

[0001] The present application relates to the technical field of logistics and transportation scheduling, and in particular to a method and system for overall control of a logistics and transportation process. Background Art

[0002] The whole-process control of logistics and transportation mainly involves the rational planning, coordination and supervision of various resources in the logistics and transportation process to ensure that the goods can be delivered from the place of shipment to the destination on time and efficiently.

[0003] The existing logistics and transportation management and control methods do not take into account the safety of vehicles during the logistics and transportation of heavy equipment, resulting in frequent accidents. Summary of the Invention

[0004] Based on this, it is necessary to provide a full-process control method and system for the logistics transportation process to address the above technical problems.

[0005] In a first aspect, the present application provides a method for managing and controlling the entire logistics transportation process, which is applied to heavy equipment logistics; the method comprises:

[0006] Determine the destination, delivery deadline, and equipment information of the delivery equipment based on the obtained logistics work order; equipment information includes equipment weight and equipment size;

[0007] The matching vehicle is called according to the device size, and the maximum driving speed is determined according to the device mass and the mass of the matching vehicle;

[0008] Plan available routes based on distance to destination, delivery deadline, and maximum travel speed;

[0009] The first path selection strategy is executed based on the planned available paths, including: selecting an available path as a distribution path for logistics distribution with the shortest path as the goal;

[0010] Other available paths are used as alternative paths, and the current delivery path is eliminated when logistics delivery is blocked, and the delivery path is secondary selected from the alternative paths according to the first path selection strategy.

[0011] In one embodiment, the method further comprises:

[0012] Traverse dangerous sections of the delivery route based on pre-stored map information; the pre-stored map information includes map information fused from high-precision maps and dashcam data; dangerous sections include sharp bends with a turning radius smaller than the preset turning radius, steep slopes, and slippery sections caused by rain or snow;

[0013] In response to the existence of any one of the preset conditions, the current delivery path is eliminated, and a secondary delivery path selection is performed from the alternative path according to the first path selection strategy; the preset conditions include: when there is a sharp bend section on the dangerous road section, it is judged based on the size of the matching vehicle that the sharp bend section cannot be passed; when there is a steep slope section on the dangerous road section, it is judged based on the quality and equipment quality of the matching vehicle that the matching vehicle cannot pass the steep slope section; there is path overlap between the sharp bend section, the steep slope section and the rainy and snowy slippery section.

[0014] In one embodiment, the method further comprises:

[0015] In response to the number of dangerous road sections exceeding a preset number, marking first nodes connected to different roads in each available path and second nodes of emergency points closest to each first node; emergency points include hospitals and repair shops;

[0016] Connecting the first node to the corresponding second node according to the traversable road section;

[0017] If there are dangerous sections on the available routes, the distances to the traversable sections on the roads corresponding to the dangerous sections are calculated and a second route selection strategy is implemented. The second route selection strategy includes selecting the available routes as the delivery routes based on the minimum distance to the traversable sections on the corresponding roads.

[0018] In response to any one of the preset conditions being present, the current delivery path is eliminated, and a second delivery path selection is performed according to the second path selection strategy.

[0019] In one embodiment, the method further comprises:

[0020] If the matching vehicle can pass the dangerous section, a danger warning signal is output when the matching vehicle is at a preset distance from the dangerous section; the danger warning signal is used to prompt the vehicle to reduce its speed to within the preset speed set corresponding to the dangerous section;

[0021] In response to the output number of the danger prompt signal exceeding the preset output number, the matching vehicle is marked.

[0022] In one embodiment, the method further comprises:

[0023] Obtain information about the straps used to secure the delivery equipment; the strap information includes the number of straps, the number of wraps per strap, and the tensile force that a single strap can withstand.

[0024] Determine the tensile force limit of the corresponding strap based on the number of straps and the number of turns of a single strap;

[0025] In response to the dangerous road section being a sharp bend, the tension values ​​borne by the straps at different cornering speeds are simulated based on the mass of the delivery equipment, the curvature of the sharp bend, and the strap information, to obtain the maximum cornering speed corresponding to the strap's tension limit, and use the maximum cornering speed as the preset speed;

[0026] In response to the dangerous road section being a steep slope, the tension values ​​borne by the straps at different uphill speeds are simulated based on the mass of the delivery equipment, the slope of the steep slope, and the strap information, and the maximum uphill speed corresponding to the strap tension limit is obtained, and the maximum uphill speed is used as the preset speed;

[0027] In response to the dangerous road section being a slippery road section caused by rain or snow, the braking distance of the matching vehicle at different speeds is calculated based on the static friction coefficient of the slippery road section caused by rain or snow and the total mass of the matching vehicle after loading, and the speed corresponding to the preset safe braking distance is used as the preset speed.

[0028] In one embodiment, the method further comprises:

[0029] Obtain images of the interior of the matching vehicle and determine whether the delivery equipment has shifted;

[0030] In response to the matching vehicle being at a preset distance from a dangerous road section, the vehicle speed drops to the corresponding preset speed and the delivery equipment shifts, a determination is made as to whether there is a correlation between the vehicle posture and the shift distance and shift direction of the delivery equipment. If so, an alarm prompt message is output; the alarm prompt message is used to instruct other vehicles with a load mass exceeding that of the currently matching vehicle to detour.

[0031] In a second aspect, the present application provides a full-process management and control system for logistics and transportation, which is applied to heavy equipment logistics; the system includes:

[0032] An information determination module is used to determine the destination, delivery deadline, and equipment information of the delivery equipment based on the obtained logistics work order; the equipment information includes equipment weight and equipment size;

[0033] A calling module is used to call a matching vehicle according to the device size and determine the maximum driving speed according to the device mass and the mass of the matching vehicle;

[0034] Planning module, which is used to plan available routes based on the distance to the destination, the deadline for delivery, and the maximum driving speed;

[0035] The selection module is configured to execute a first path selection strategy based on the planned available paths, including: selecting an available path as a distribution path for logistics distribution with the shortest path as the goal;

[0036] The selection module is further configured to select other available paths as backup paths, and the backup paths are used to eliminate the current delivery path in case of delivery obstruction and perform secondary selection of the delivery path according to the first path selection strategy.

[0037] In a third aspect, the present application provides a computer device, comprising a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method provided in the first aspect of the present application when executing the computer program.

[0038] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the method provided in the first aspect of the present application when executed by a processor.

[0039] In a fifth aspect, the present application provides a computer program product, comprising a computer program, and the computer program implements the steps of the method provided in the first aspect of the present application when executed by a processor.

[0040] The whole-process management and control method and system for the logistics transportation process can be applied to the logistics transportation process of heavy equipment. By determining the destination, the deadline for receiving goods, and the equipment quality of the delivery equipment, a vehicle matching the delivery equipment is deployed and the time is reasonably arranged to avoid the overspeed of the driver due to improper time arrangement. Then, according to the planned deadline for receiving goods, multiple available paths are planned, a delivery path is selected for delivery with the shortest path as the target, and in the case of blocked delivery path, a delivery path is selected again from the backup path with the shortest path as the target, thereby improving the safety of the logistics transportation process from multiple aspects such as the matching degree of the delivery vehicle, the prevention of overspeed in the delivery process, and the preparation of the backup path, and effectively avoiding the problem that the existing logistics transportation management and control method does not consider the safety of the vehicle in the logistics transportation process of heavy equipment. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed in the embodiment or related art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0042] Figure 1 A step flow chart for selecting a delivery path according to a first path selection strategy in an embodiment;

[0043] Figure 2 A step flow chart for selecting a delivery path based on a dangerous section in an embodiment;

[0044] Figure 3A flowchart of the steps of selecting a delivery route according to the second route selection strategy in one embodiment;

[0045] Figure 4 A flowchart of the steps of slowing down a vehicle based on a danger warning message prompt in one embodiment;

[0046] Figure 5 A flowchart of the steps for determining the displacement relationship between the vehicle posture and the delivery equipment in one embodiment;

[0047] Figure 6 The figure is a structural block diagram of a full-process control system for a logistics transportation process in one embodiment. DETAILED DESCRIPTION

[0048] To make the above-mentioned objects, features, and advantages of the present application more clearly understood, the specific embodiments of the present application are described in detail below with reference to the accompanying drawings. The following description sets forth many specific details to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar improvements without violating the scope of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.

[0049] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0050] In an exemplary embodiment, Figure 1 As shown, the present application provides a method for full-process control of the logistics transportation process, which is applied to heavy equipment logistics; the method includes the following steps S102 to S110.

[0051] in:

[0052] Step S102: Determine the destination, delivery deadline, and equipment information of the delivery equipment based on the obtained logistics work order; the equipment information includes equipment weight and equipment size.

[0053] Specifically, route planning can be performed based on the destination of the device, and the optimal route for delivery can be selected in combination with the deadline for delivery during the planning process. The delivery speed can be determined by the quality of the equipment to avoid delivery delays due to long routes and poor route environments due to shortcuts.

[0054] Illustratively, the delivery equipment may include tunnel boring machines, transformers, prefabricated cabins, and steel coils.

[0055] Step S104: call a matching vehicle according to the device size, and determine the maximum driving speed according to the device mass and the mass of the matching vehicle.

[0056] Specifically, the vehicle is matched by equipment size to avoid overloading and waste of space.

[0057] Step S106: Plan available routes based on the distance to the destination, the delivery deadline, and the maximum driving speed.

[0058] Specifically, the distance to the destination, the cut-off delivery time, and the maximum driving speed are used to avoid delivery delays and select a suitable route.

[0059] Furthermore, during the route selection process, a preset time margin can be set to advance the delivery deadline to avoid delivery delays due to unexpected situations.

[0060] Step S108 , executing a first path selection strategy based on the planned available paths includes: selecting an available path as a distribution path for logistics distribution with the shortest path as the goal.

[0061] Specifically, the shortest path among available paths is selected to save energy while avoiding overdue and adverse transportation environment.

[0062] In step S110 , other available paths are used as alternative paths, and when logistics distribution is blocked, the current distribution path is eliminated, and a secondary distribution path is selected from the alternative paths according to the first path selection strategy.

[0063] Specifically, logistics delivery may be hindered by passing through dangerous sections of road. Dangerous sections can include sharp bends with a turning radius smaller than a preset radius, steep slopes, and slippery roads due to rain or snow. If a dangerous section is impassable, a secondary delivery route selection is performed based on the alternative routes according to the first routing strategy, resulting in the shortest path among the newly available routes.

[0064] The embodiment of the present application provides a full-process control method for the logistics transportation process, which can be applied to the logistics transportation process of heavy equipment. By determining the destination, the deadline for receiving the goods, and the equipment quality of the distribution equipment, vehicles matching the distribution equipment are deployed, and the time is reasonably arranged to avoid speeding of the driver due to inappropriate time arrangement; then, multiple available paths are planned at the same time according to the planned deadline for receiving the goods, and the distribution path is selected for distribution with the shortest path as the goal. In the event that the distribution path is blocked, the distribution path is selected again from the backup path with the shortest path as the goal. This improves the safety of the logistics transportation process from multiple aspects such as the matching degree of distribution vehicles, preventing speeding during the distribution process, and preparing backup paths, and avoids the problem that the existing logistics transportation control method does not take into account the safety of vehicles during the logistics transportation of heavy equipment.

[0065] In an exemplary embodiment, Figure 2 As shown, the method further includes the following steps S202 to S204.

[0066] Step S202, traverse the dangerous sections in the delivery route based on pre-stored map information; the pre-stored map information includes map information fused by high-precision maps and driving recorder data; dangerous sections include sharp bends with a turning radius smaller than a preset turning radius, steep slopes, and slippery sections caused by rain or snow.

[0067] Specifically, dangerous sections of road can be marked in the dashcam during historical driving, and the specific location information of the dangerous sections can be determined in combination with high-precision maps to achieve the fusion of high-precision maps and dashcam data.

[0068] In step S204, in response to the presence of any one of the preset conditions, the current delivery route is eliminated, and a secondary delivery route selection is performed from the alternative routes according to the first route selection strategy; the preset conditions include: if there is a sharp bend on the dangerous road section, it is determined based on the size of the matched vehicle that the sharp bend cannot be passed; if there is a steep slope on the dangerous road section, it is determined based on the mass and equipment quality of the matched vehicle that the matched vehicle cannot pass the steep slope; there is path overlap between the sharp bend, the steep slope, and the rainy or snowy road section.

[0069] Specifically, if the matching vehicle size is longer and the turning radius is larger than the sharp bend section, it is judged that the sharp bend section cannot be passed; after matching the vehicle load, the total mass of the matched vehicle mass and the equipment mass is judged whether the steep slope section can be passed.

[0070] Furthermore, the maximum climbing angle after matching the vehicle's load distribution equipment can be obtained based on the mass of the loaded vehicle, and combined with the slope of the steep slope section, it can be determined whether the vehicle can pass through the steep slope section.

[0071] Specifically, when the static friction between the tire and the ground is less than a preset friction, the road section is determined to be a rainy or snowy road section.

[0072] Specifically, in the case of a combination of a steep slope section and a sharp bend section, or a combination of a steep slope section and a rainy, snowy, and slippery road section, or a combination of a sharp bend section and a rainy, snowy, and slippery road section, the current delivery route is abandoned because the difficulty of passing is greatly increased.

[0073] In one embodiment, Figure 3 As shown, the method further includes the following steps S302 to S308.

[0074] in:

[0075] Step S302: In response to the number of dangerous road sections exceeding a preset number, first nodes connected to different roads in each available path and second nodes of emergency points closest to each first node are marked respectively; emergency points include hospitals and repair shops.

[0076] Specifically, due to the high risk of dangerous road sections, in order to protect the lives of drivers and ensure that vehicles can be repaired in a timely manner, it is selected whether there are accessible emergency points between the connection points of the road, and the connection points of the road are used to enter the road.

[0077] Step S304: Connect the first node and the corresponding second node according to the passable road section.

[0078] Specifically, when there is an accessible emergency point between the connection points of the road, the distance to the emergency point is confirmed by connecting the nodes according to the passable road section and determining the length of the passable road section.

[0079] Step S306: If there are dangerous sections in the available paths, the distances to the traversable sections on the roads corresponding to the dangerous sections are calculated respectively, and a second path selection strategy is executed; the second path selection strategy includes selecting the available paths as the delivery paths with the goal of minimizing the distances to the traversable sections on the corresponding roads.

[0080] Specifically, to ensure safety, when there is a dangerous road section, the available path with the shortest distance to the passable road section is selected as the delivery path.

[0081] Step S308: In response to any one of the preset conditions being met, the current delivery path is eliminated, and a second delivery path selection is performed according to the second path selection strategy.

[0082] Specifically, when the delivery path selected based on the second path selection strategy has a dangerous section that makes it inaccessible, the delivery path is re-determined by selecting an alternative path for the second time to ensure delivery.

[0083] In an exemplary embodiment, Figure 4 As shown, the method further includes the following steps S402 to S404.

[0084] Step S402: If the matching vehicle can pass through the dangerous section, a danger warning signal is output when the matching vehicle is at a preset distance from the dangerous section; the danger warning signal is used to prompt the vehicle to reduce its speed to within the preset speed set corresponding to the dangerous section.

[0085] Specifically, in order to further ensure delivery safety, the speed of vehicles passing through dangerous sections of road is controlled.

[0086] Step S404: In response to the output number of the danger warning signal exceeding the preset output number, the matching vehicle is marked.

[0087] Specifically, the safety of delivery drivers and delivery vehicles can be enforced by educational punishment of marked vehicles.

[0088] In an exemplary embodiment, the method further comprises the steps of:

[0089] Obtain information about the straps used to secure the delivery equipment; the strap information includes the number of straps, the number of wraps per strap, and the tensile force that a single strap can withstand.

[0090] Determine the tensile force limit of the corresponding strap based on the number of straps and the number of turns of a single strap;

[0091] In response to the dangerous road section being a sharp bend, the tension values ​​borne by the straps at different cornering speeds are simulated based on the mass of the delivery equipment, the curvature of the sharp bend, and the strap information, to obtain the maximum cornering speed corresponding to the strap's tension limit, and use the maximum cornering speed as the preset speed;

[0092] In response to the dangerous road section being a steep slope, the tension values ​​borne by the straps at different uphill speeds are simulated based on the mass of the delivery equipment, the slope of the steep slope, and the strap information, and the maximum uphill speed corresponding to the strap tension limit is obtained, and the maximum uphill speed is used as the preset speed;

[0093] In response to the dangerous road section being a slippery road section caused by rain or snow, the braking distance of the matching vehicle at different speeds is calculated based on the static friction coefficient of the slippery road section caused by rain or snow and the total mass of the matching vehicle after loading, and the speed corresponding to the preset safe braking distance is used as the preset speed.

[0094] Specifically, since the delivery equipment needs to be fixed, and the fixing straps are at risk of breaking during transportation due to the excessive mass of the delivery equipment, the maximum vehicle speed is determined as the preset speed by simulating the tensile limit of sharp bends and steep slopes to ensure the safety of the transportation equipment.

[0095] Furthermore, when passing through slippery roads caused by rain and snow, the road surface affects the vehicle's grip and friction during braking. Therefore, the braking distance of the vehicle at different speeds is calculated based on the static friction coefficient of the slippery road section caused by rain and snow and the total mass of the vehicle after loading to ensure timely braking.

[0096] In an exemplary embodiment, Figure 5 As shown, the method further includes the following steps S502 to S506.

[0097] Step S502: Acquire the interior image of the matching vehicle and determine whether the delivery equipment is displaced.

[0098] Specifically, a camera may be installed in the vehicle compartment to compare the captured images of adjacent frames in the vehicle compartment to determine whether the delivery equipment has shifted.

[0099] Step S504: In response to the matching vehicle being at a preset distance from a dangerous road section, the vehicle speed drops to a corresponding preset speed and the delivery device shifts, a determination is made as to whether there is a correlation between the vehicle posture and the shift distance and shift direction of the delivery device. If so, an alarm message is output; the alarm message is used to instruct other vehicles with a load mass exceeding that of the currently matching vehicle to detour.

[0100] Specifically, since there are many factors that may cause displacement, including bumps, crosswinds, etc., the delivery equipment may still shift when the vehicle speed drops to the corresponding preset speed, and according to the judgment of the embodiment of the present application, the cause of the vehicle displacement cannot be determined, then the danger is avoided by notifying other delivery vehicles to detour.

[0101] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0102] Based on the same inventive concept, the embodiments of the present application also provide a device for controlling the entire process of a logistics transportation process for implementing the aforementioned method for controlling the entire process of a logistics transportation process. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the device for controlling the entire process of a logistics transportation process provided below can be found in the above-mentioned limitations on the method for controlling the entire process of a logistics transportation process, and will not be repeated here.

[0103] Second, as Figure 6 As shown, the present application provides a full-process management and control system 600 for logistics and transportation, which is applied to heavy equipment logistics; the system includes:

[0104] An information determination module 601 is used to determine the destination, the delivery deadline, and the equipment information of the delivery equipment based on the obtained logistics work order; the equipment information includes the equipment weight and equipment size;

[0105] A calling module 602 is used to call a matching vehicle according to the device size and determine the maximum driving speed according to the device mass and the mass of the matching vehicle;

[0106] Planning module 603, for planning available routes based on the distance to the destination, the cut-off delivery time, and the maximum driving speed;

[0107] The selection module 604 is configured to execute a first path selection strategy based on the planned available paths, including: selecting an available path as a delivery path for logistics delivery with the shortest path as the goal;

[0108] The selection module 604 is further used to select other available paths as alternative paths; the alternative paths are used to eliminate the current delivery path when logistics delivery is blocked, and to perform a secondary selection of the delivery path according to the first path selection strategy.

[0109] On the third aspect, the present application also provides a computer device including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the steps of the full-process control method of a logistics transportation process as described above.

[0110] In a fourth aspect, the present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the full-process control method of a logistics transportation process as described above are implemented.

[0111] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of a method for full-process control of a logistics transportation process as described above.

[0112] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0113] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0114] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for overall control of a logistics transportation process, characterized in that: Applied to heavy equipment logistics; the method comprises: Determine the destination, delivery deadline, and equipment information of the delivery equipment based on the obtained logistics work order; the equipment information includes equipment weight and equipment size; calling a matching vehicle according to the size of the device, and determining a maximum driving speed according to the mass of the device and the mass of the matching vehicle; Planning available routes based on the distance to the destination, the cut-off delivery time, and the maximum travel speed; Executing a first path selection strategy based on the planned available path includes: selecting the available path as a distribution path for logistics distribution with the shortest path as the goal; Using the other available paths as alternative paths, and eliminating the current delivery path when logistics delivery is blocked, and performing a secondary selection of the delivery path using the alternative paths according to the first path selection strategy; Traversing dangerous sections of the delivery route based on pre-stored map information; the pre-stored map information includes map information fused from a high-precision map and driving recorder data; the dangerous sections include sharp bends with a turning radius smaller than a preset turning radius, steep slopes, and slippery sections caused by rain or snow; In response to the existence of any one of the preset conditions, the current delivery path is eliminated, and the delivery path is secondary selected from the alternative path according to the first path selection strategy; the preset conditions include: when there is a sharp bend section in the dangerous section, it is determined based on the size of the matched vehicle that the matched vehicle cannot pass through the sharp bend section; when there is a steep slope section in the dangerous section, it is determined based on the mass of the matched vehicle and the mass of the equipment that the matched vehicle cannot pass through the steep slope section; there is path overlap between the sharp bend section, the steep slope section, and the rainy and snowy slippery section.

2. The method according to claim 1, characterized in that The method further comprises: In response to the number of the dangerous road sections exceeding a preset number, marking first nodes connected to different roads in each of the available paths, and second nodes of emergency points closest to each of the first nodes; the emergency points include hospitals and repair shops; Connecting the first node to the corresponding second node according to a traversable road section; If there are dangerous sections in the available paths, respectively calculating the distances to the traversable sections on the roads corresponding to the dangerous sections, and executing the second path selection strategy; the second path selection strategy includes selecting the available paths as the delivery paths based on minimizing the distances to the traversable sections on the corresponding roads; In response to the existence of any one of the preset conditions, the current delivery path is eliminated, and the delivery path is secondary selected according to the second path selection strategy.

3. The method according to claim 2, characterized in that The method further comprises: If the matching vehicle can pass the dangerous road section, a danger warning signal is output when the matching vehicle is at a preset distance from the dangerous road section; the danger warning signal is used to prompt the vehicle to reduce its speed to within the preset speed set corresponding to the dangerous road section; In response to the output number of the danger prompt signal exceeding a preset output number, the matching vehicle is marked.

4. The method according to claim 3, characterized in that The method further comprises: Obtaining information about straps used to secure the delivery device; the strap information includes the number of straps, the number of turns of a single strap, and the tensile force that a single strap can withstand; Determining the tension limit of the corresponding strap based on the number of straps and the number of turns of the single strap; In response to the dangerous road section being a sharp bend, simulating the tension values ​​of the strap at different cornering speeds based on the mass of the delivery device, the curvature of the sharp bend, and the strap information, to obtain a maximum cornering speed corresponding to the strap's tension limit, and using the maximum cornering speed as the preset speed; In response to the dangerous road section being a steep slope, simulating the tension values ​​of the strap at different uphill speeds based on the mass of the delivery device, the slope of the steep slope, and the strap information, to obtain a maximum uphill speed corresponding to the strap's tension limit, and using the maximum uphill speed as the preset speed; In response to the dangerous road section being a slippery road section caused by rain or snow, the braking distance of the matching vehicle at different vehicle speeds is calculated based on the static friction coefficient of the slippery road section caused by rain or snow and the total mass of the matching vehicle after loading, and the speed corresponding to the preset safe braking distance is used as the preset speed.

5. The method according to claim 4, characterized in that The method further comprises: Acquire an image of the interior of the matching vehicle and determine whether the delivery device has shifted; In response to the matching vehicle being at a preset distance from the dangerous road section, the vehicle speed drops to the corresponding preset speed and the delivery device shifts, it is determined whether there is a correlation between the vehicle posture and the displacement distance and displacement direction of the delivery device. If so, an alarm prompt message is output; the alarm prompt message is used to instruct other vehicles with a load mass exceeding that of the current matching vehicle to detour.

6. A full-process control system for logistics and transportation, characterized by: Implementation based on the method according to any one of claims 1 to 5; Applied to heavy equipment logistics; the system includes: An information determination module is used to determine the destination, the deadline for receiving the goods, and the equipment information of the delivery equipment based on the obtained logistics work order; the equipment information includes the equipment weight and equipment size; a calling module, configured to call a matching vehicle according to the size of the device, and determine a maximum driving speed according to the mass of the device and the mass of the matching vehicle; A planning module, configured to plan an available route based on the distance to the destination, the cut-off delivery time, and the maximum travel speed; A selection module is configured to execute a first path selection strategy based on the planned available path, including: selecting the available path as a distribution path for logistics distribution with the shortest path as the goal; The selection module is further configured to select other available paths as alternative paths; the alternative paths are used to eliminate the current delivery path when logistics delivery is blocked, and to perform a secondary selection of the delivery path according to the first path selection strategy.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

9. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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