Whole-process management and control method and system for logistics transportation process
Through the full-process control method and system, the vehicle safety issues in heavy equipment logistics transportation are adjusted, and the problem of failure to effectively consider vehicle safety in the existing technology is solved, and the safety and efficiency of transportation are improved.
Patent Information
- Application Number
- CN202510095152.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-21
- Publication Date
- 2025-05-13
- Estimated Expiration
- 2045-01-21
AI Technical Summary
The existing logistics and transportation control methods fail to effectively consider the safety of vehicles during heavy equipment transportation, resulting in frequent accidents.
Provide a full-process control method and system for the logistics transportation process. By obtaining the destination, deadline and equipment information in the logistics work order, matching the vehicle and determining the maximum driving speed, planning available paths, and adjusting the path selection strategy when encountering dangerous sections to ensure safe transportation.
Through the full-process control method and system, the safety of logistics and transportation of heavy equipment is improved, and the driver speeding is avoided due to inappropriate schedule is avoided, and appropriate adjustments are made when encountering dangerous roads, ensuring the safety and efficiency of logistics and transportation.
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Figure CN119990961A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of logistics transportation scheduling, and in particular to a method and system for overall control of a logistics transportation process. Background Art
[0002] The whole process control of logistics and transportation mainly involves the reasonable planning, coordination and supervision of various resources in the process of logistics and transportation 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 in response to the above technical problems.
[0005] In the first aspect, the present application provides a method for the whole process control of 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; the equipment information includes equipment quality and equipment size;
[0007] Call matching vehicles according to the size of the equipment, and determine the maximum driving speed according to the quality of the equipment and the quality of the matching vehicle;
[0008] Plan available routes based on distance to destination, delivery deadline, and maximum travel speed;
[0009] Executing the first path selection strategy based on the planned available paths includes: selecting the available path as the 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 distribution is blocked, and the delivery path is secondary selected by the alternative paths according to the first path selection strategy.
[0011] In one embodiment, the method further comprises:
[0012] Traverse the 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 driving recorder data; dangerous sections include sharp bends with a turning radius less than a preset turning radius, steep slopes, and slippery sections in rain and snow;
[0013] In response to the existence of any one of the preset conditions, the current delivery path is eliminated, and a second 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 in the dangerous section, it is judged based on the size of the matched vehicle that the sharp bend section cannot be passed; when there is a steep slope section in the dangerous section, it is judged based on the quality and equipment quality of the matched vehicle that the matched 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, first nodes connected by different roads in each available path and second nodes of emergency points closest to each first node are marked respectively; the emergency points include hospitals and repair shops;
[0016] Connecting the first node to the corresponding second node according to the traversable road section;
[0017] In the case where there are dangerous sections in the available paths, the distances of 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 path as the delivery path according to the minimum distance of the traversable sections on the corresponding roads;
[0018] In response to the existence of any one of the preset conditions, 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 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;
[0021] In response to the output number of the danger warning signal exceeding the preset output number, the matching vehicle is marked.
[0022] In one embodiment, the method further comprises:
[0023] Obtaining information about straps used to fix the delivery equipment; 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;
[0024] Determine the tension 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 fact that the dangerous road section is a sharp bend section, according to the mass of the delivery equipment, the curvature of the sharp bend section and the strap information, the tension value of the strap under different cornering speeds is simulated to obtain the maximum cornering speed corresponding to the tension limit of the strap, and the maximum cornering speed is used as the preset speed;
[0026] In response to the dangerous road section being a steep slope section, according to the mass of the delivery equipment, the slope of the steep slope section and the strap information, the tension value of the strap under different uphill speeds is simulated to obtain the maximum uphill speed corresponding to the tension limit of the strap, and the maximum uphill speed is used as the preset speed;
[0027] In response to the dangerous road section being a slippery road section due to rain or snow, the braking distances of the matching vehicles at different vehicle speeds are calculated based on the static friction coefficient of the slippery road section due to rain or snow and the total mass of the matching vehicle after loading, and the vehicle speed corresponding to the preset safe braking distance is used as the preset speed.
[0028] In one embodiment, the method further comprises:
[0029] Obtain the image inside 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 section of road, the vehicle speed drops to the corresponding preset speed and the delivery equipment shifts, it is determined whether there is a correlation between the vehicle posture and the displacement distance and displacement 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 current matching vehicle to detour.
[0031] In the second aspect, the present application provides a full-process control system for logistics transportation, which is applied to heavy equipment logistics; the system includes:
[0032] An information determination module is used to determine the destination, the delivery deadline, and the equipment information of the distribution equipment based on the obtained logistics work order; the equipment information includes the equipment weight and equipment size;
[0033] A calling module is used to call a matching vehicle according to the size of the device and determine the maximum driving speed according to the mass of the device and the mass of the matching vehicle;
[0034] The planning module 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 used to execute the first path selection strategy based on the planned available paths, including: selecting the available path as the distribution path for logistics distribution with the shortest path as the goal;
[0036] The selection module is also 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 make a 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, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the method provided in the first aspect of the present application are implemented.
[0038] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.
[0039] In a fifth aspect, the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method provided in the first aspect of the present application.
[0040] The above-mentioned full-process control method and system of the logistics transportation process can be applied to the logistics transportation process of heavy equipment. By determining the destination, the deadline for delivery and the equipment quality of the distribution equipment, the vehicle matching the distribution equipment is deployed, and the time is reasonably arranged to avoid speeding of the driver due to improper time arrangement; then, multiple available paths are planned at the same time according to the planned deadline for delivery, and the distribution path is selected for delivery with the shortest path as the goal. In the case of obstruction of the distribution path, the distribution path is selected again from the backup path with the shortest path as the goal, thereby improving 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 effectively avoiding the problem that the existing logistics transportation control method does not take into account the safety of vehicles in the logistics transportation process of heavy equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0042] Figure 1 A flow chart of the steps of selecting a delivery path according to a first path selection strategy in one embodiment;
[0043] Figure 2 A flowchart of the steps of selecting a delivery route based on a dangerous road section in one embodiment;
[0044] Figure 3A flow chart of the steps of selecting a delivery path according to a second path 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 It is a structural block diagram of a whole-process control system of a logistics transportation process in one embodiment. DETAILED DESCRIPTION
[0048] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below.
[0049] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "plurality" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.
[0050] In an exemplary embodiment, Figure 1 As shown, the present application provides a method for overall control of a logistics transportation process, which is applied to heavy equipment logistics; the method includes the following steps S102 to S110.
[0051] in:
[0052] Step S102, determining the destination, the delivery deadline, and the equipment information of the distribution equipment based on the obtained logistics work order; the equipment information includes the equipment mass and equipment size.
[0053] Specifically, path planning can be performed based on the destination of the device, and the optimal path 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 a long path and poor path environment due to shortcuts.
[0054] Exemplarily, the delivery equipment may include tunnel boring machines, transformers, prefabricated cabins, and steel coils.
[0055] Step S104, calling a matching vehicle according to the device size, and determining a 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, planning 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 collection 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 circumstances.
[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 bad transportation environment.
[0062] Step S110, taking other available paths as candidate paths, and eliminating the current delivery path when the logistics delivery is blocked, and performing a secondary delivery path selection from the candidate paths according to the first path selection strategy.
[0063] Specifically, the situation where logistics distribution is blocked includes passing through dangerous sections; dangerous sections may include sharp bends with a turning radius less than a preset turning radius, steep slopes, and slippery sections due to rain or snow. When the dangerous section cannot be passed, the first path selection strategy is used to select a secondary delivery path from the alternative paths to obtain the shortest path among the new available paths.
[0064] A method for full-process control of a logistics transportation process provided in an embodiment of the present application can be applied to the logistics transportation process of heavy equipment. By determining the destination, the deadline for delivery, and the equipment quality of the distribution equipment, vehicles matching the distribution equipment are deployed, and time is arranged reasonably to avoid speeding of drivers due to improper time arrangement; then, multiple available paths are planned simultaneously according to the planned deadline for delivery, and a distribution path is selected for delivery with the shortest path as the goal. In the event that the distribution path is blocked, a distribution path is selected again from the backup path with the shortest path as the goal, thereby improving 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, thereby avoiding 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. Among them:
[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; the dangerous sections include sharp bends with a turning radius less than a preset turning radius, steep slopes, and slippery sections due to rain or snow.
[0067] Specifically, dangerous sections can be marked in the driving recorder during historical driving, and the specific location information of the dangerous sections can be determined in combination with the high-precision map to achieve the fusion of high-precision map and driving recorder data.
[0068] Step S204, in response to the existence of any one of the preset conditions, the current delivery path is eliminated, and a second 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 in the dangerous 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 in the dangerous 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.
[0069] Specifically, when 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 according to the mass of the loaded matched 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 the preset friction, the road section is determined to be a rainy and 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 section, or a combination of a sharp bend section and a rainy, snowy, and slippery section, the difficulty of passing is greatly increased, so the current delivery route is abandoned.
[0073] In one embodiment, if Figure 3 As shown, the method also 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, respectively mark the first nodes connected by different roads in each available path, and the second nodes of the emergency points closest to each first node; the emergency points include hospitals and repair shops.
[0076] Specifically, since dangerous sections of road are very dangerous, 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 traversable 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, when there are dangerous sections in the available paths, respectively calculate the distances of the passable sections on the roads corresponding to the dangerous sections, and execute the second path selection strategy; the second path selection strategy includes selecting the available path as the delivery path according to the goal of minimizing the distance of the passable 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 from the available paths.
[0081] Step S308: In response to the existence of any one of the preset conditions, 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 impassable, 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. Among them:
[0084] Step S402: If the matched vehicle can pass through the dangerous section, a danger warning signal is output when the matched 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 is controlled.
[0086] Step S404: In response to the output times of the danger warning signal exceeding the preset output times, the matching vehicle is marked.
[0087] Specifically, the safety of delivery drivers and delivery vehicles can be enforced by educating and punishing marked vehicles.
[0088] In an exemplary embodiment, the method further comprises the steps of:
[0089] Obtaining information about straps used to fix the delivery equipment; 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;
[0090] Determine the tension 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 fact that the dangerous road section is a sharp bend section, according to the mass of the delivery equipment, the curvature of the sharp bend section and the strap information, the tension value of the strap under different cornering speeds is simulated to obtain the maximum cornering speed corresponding to the tension limit of the strap, and the maximum cornering speed is used as the preset speed;
[0092] In response to the dangerous road section being a steep slope section, according to the mass of the delivery equipment, the slope of the steep slope section and the strap information, the tension value of the strap under different uphill speeds is simulated to obtain the maximum uphill speed corresponding to the tension limit of the strap, and the maximum uphill speed is used as the preset speed;
[0093] In response to the dangerous road section being a slippery road section due to rain or snow, the braking distances of the matching vehicles at different vehicle speeds are calculated based on the static friction coefficient of the slippery road section due to rain or snow and the total mass of the matching vehicle after loading, and the vehicle 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 travel speed of the vehicle is determined as the preset speed by simulating the tension 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. Among them:
[0097] Step S502, obtaining the interior image of the matching vehicle and determining whether the delivery equipment is displaced.
[0098] Specifically, a camera may be arranged in the compartment to compare the captured images of adjacent frames in the compartment to determine whether the delivery equipment has shifted.
[0099] Step S504, in response to the matching vehicle being at a preset distance from the dangerous section, the vehicle speed drops to the corresponding preset speed and the delivery equipment shifts, it is determined whether there is a correlation between the vehicle posture and the displacement distance and displacement direction of the delivery equipment, and 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.
[0100] Specifically, since there are many factors that may cause displacement, including bumps, crosswinds, etc., the delivery equipment still shifts 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 other delivery vehicles are notified to detour to avoid danger.
[0101] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
[0102] Based on the same inventive concept, the embodiment of the present application also provides a device for controlling the whole process of a logistics transportation process for realizing the method for controlling the whole process of a logistics transportation process involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more embodiments of the device for controlling the whole process of a logistics transportation process provided below can refer to the limitations of the method for controlling the whole process of a logistics transportation process above, and will not be repeated here.
[0103] Second, as Figure 6 As shown, the present application provides a whole-process control system 600 for logistics transportation process, which is applied to heavy equipment logistics; the system includes:
[0104] The information determination module 601 is used to determine the destination, the delivery deadline and the equipment information of the distribution equipment based on the obtained logistics work order; the equipment information includes the equipment quality and equipment size;
[0105] A calling module 602 is used to call a matching vehicle according to the device size, and determine a maximum driving speed according to the device mass and the mass of the matching vehicle;
[0106] Planning module 603, used to plan available routes according to the distance to the destination, the delivery deadline and the maximum driving speed;
[0107] The selection module 604 is used to execute the first path selection strategy based on the planned available paths, including: selecting the available path as the distribution path for logistics distribution with the shortest path as the goal;
[0108] The selection module 604 is also used to select other available paths as alternative paths; the alternative paths are used to eliminate the current delivery path when the logistics delivery is blocked, and to perform a secondary selection of the delivery path according to the first path selection strategy.
[0109] In a 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 a method for full-process control 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, and when the computer program is executed by a processor, the steps of a method for full-process control 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 can understand that all or part of the processes in the above-mentioned embodiment methods can be completed 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 the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an 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 each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.
[0113] The technical features of the above embodiments may be combined arbitrarily. 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 only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached 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, the delivery deadline, and the equipment information of the delivery equipment based on the obtained logistics work order; the equipment information includes the equipment mass 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 according to the distance to the destination, the delivery deadline, 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; The other available paths are used as alternative paths, and the current delivery path is eliminated when the logistics delivery is blocked, and the delivery path is reselected by the alternative paths according to the first path selection strategy.
2. The method according to claim 1, characterized in that The method further comprises: Traversing the dangerous road 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; the dangerous road sections include sharp bends with a turning radius less than a preset turning radius, steep slopes, and slippery roads in rain and 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 by 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 judged 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 judged 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.
3. The method according to claim 2, characterized in that The method further comprises: In response to the number of the dangerous road sections exceeding a preset number, first nodes connected by different roads in each of the available paths and second nodes of emergency points closest to each of the first nodes are marked respectively; the emergency points include hospitals and repair shops; Connecting the first node to the corresponding second node according to a traversable road section; In the case where there are dangerous sections in the available path, respectively calculating the distances of the passable 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 path as the delivery path according to the goal of minimizing the distance of the passable 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.
4. The method according to claim 3, characterized in that The method further comprises: If the matching vehicle can pass through 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 warning signal exceeding the preset output number, the matching vehicle is marked.
5. The method according to claim 4, characterized in that The method further comprises: Obtaining strap information for fixing 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 windings of the single strap; In response to the dangerous road section being a sharp bend section, according to the mass of the delivery device, the curvature of the sharp bend section and the strap information, the tension value of the strap under different cornering speeds is simulated to obtain a maximum cornering speed corresponding to the tension limit of the strap, and the maximum cornering speed is used as the preset speed; In response to the dangerous road section being a steep slope section, according to the mass of the delivery device, the slope of the steep slope section and the strap information, the tension values borne by the strap at different uphill speeds are simulated to obtain a maximum uphill speed corresponding to the tension limit borne by the strap, and the maximum uphill speed is used as the preset speed; In response to the dangerous road section being a slippery road section due to 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 due to rain or snow and the total mass of the matching vehicle after loading, and the vehicle speed corresponding to the preset safe braking distance is used as the preset speed.
6. The method according to claim 5, characterized in that The method further comprises: Acquire the interior image of the matching vehicle and determine whether the delivery device is displaced; In response to the matching vehicle being at a preset distance from the dangerous 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, and if so, an alarm prompt message is output; the alarm prompt message is used to instruct other vehicles with a load mass exceeding the current matching vehicle to detour.
7. A full-process control system for logistics transportation, characterized in that: Applied to heavy equipment logistics; the system comprises: An information determination module, used to determine the destination, the delivery deadline, and the equipment information of the distribution equipment based on the obtained logistics work order; the equipment information includes the equipment mass and equipment size; A calling module, used for 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; A planning module, configured to plan available routes according to the distance to the destination, the cut-off delivery time, and the maximum driving speed; A selection module, for executing 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 used to use other available paths as alternative paths; the alternative paths are used to eliminate the current distribution path when logistics distribution is blocked, and to perform a secondary selection of the distribution path according to the first path selection strategy.
8. 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 6 are implemented.
9. 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 6 are implemented.
10. 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 6 are implemented.
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