Truck collection intelligent scheduling method, device, storage medium and system
By separating the front of the truck and the carriage as independent task options and using intelligent algorithms for synchronous path planning, the manual scheduling problem of logistics companies is solved, and efficient and accurate truck freight collection scheduling is achieved.
Patent Information
- Application Number
- CN202510568766.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-30
- Publication Date
- 2025-08-15
AI Technical Summary
In the prior art, it is difficult to reasonably dispatch truck collection methods adopted by logistics companies, resulting in increased logistics costs, warehousing costs and loading and unloading costs, and it is difficult to balance the cooperative relationship between the cargo owner and the logistics company.
The intelligent scheduling method is adopted to separate the front of the truck and the carriage as independent transport task options. The matching front and carriage are selected according to the target carriage information and the carriage collection position, and the intelligent algorithm is used for synchronous path planning.
It improves the rationality and accuracy of truck scheduling, improves the matching degree of transportation tasks, reduces the problem of mismatch between the front or carriage and transportation tasks, and achieves efficient and accurate truck assembly and path planning.
Smart Images
Figure CN120494366A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of truck cargo collection and dispatching, and in particular to a method, device, storage medium and system for intelligent dispatching of truck cargo collection. Background Art
[0002] With the continuous growth and expansion of e-commerce, logistics and transportation volumes are increasing, and vehicle collection and dispatching is a crucial component. Due to the complexity of dispatching, the manual dispatching methods currently used by logistics companies struggle to fully meet the transportation needs of shippers. Irrational collection and dispatching can lead to increased logistics, warehousing, and loading and unloading costs, further increasing time costs and making it difficult to maintain a healthy cooperative relationship between shippers and logistics companies. Summary of the Invention
[0003] In order to solve the technical problems existing in the background technology, the present invention proposes an intelligent dispatching method, device, storage medium and system for truck cargo collection.
[0004] The present invention proposes an intelligent dispatching method for truck cargo collection, comprising:
[0005] According to the x lengths of the truck head, the front parking area is divided into x head units, recorded as H1, H2...H x Each head unit includes multiple sub-units H ab , where 1≤a≤x, b≥2;
[0006] According to the y lengths of the freight car, the car parking area is divided into y car units, denoted as K1, K2...K y ; Each carriage unit includes multiple sub-units K cd , where 1≤c≤y, d≥2;
[0007] Select the matching head unit H according to the target cargo information i And matching carriage unit K m ;where i∈x,m∈y;
[0008] Select the target vehicle head H according to the target cargo collection location ij and target carriage K mn , target head H ij Find target carriage K mn After completing the hooking, it drives to the target collection location and waits for collection; where i∈x, j∈b, m∈y, n∈d.
[0009] Optionally, the target cargo information includes the total volume V, total weight W, and transportation distance S between the starting and ending points. The vehicle head candidate index E is calculated based on the V, W, and S, and then a matching vehicle head unit H is searched in the preset database based on the vehicle head candidate index E. i;in:
[0010]
[0011] Among them, p1, p2, p3, and p4 are all preset weight coefficients.
[0012] Optionally, the car candidate index F is calculated based on the V, W, and S, and then the matching car unit K is searched in the preset database based on the car candidate index F. m ;in:
[0013]
[0014] Among them, q1, q2, q3, q4, and q5 are all preset weight coefficients.
[0015] Optionally, the x head units H1, H2...H x Arrange them in order of the length of the truck head from small to large; the target cargo collection location is located in the central storage warehouse, x truck head units H1, H2...H x The distance L1 from the entrance of the central storage bin is inversely proportional to the size of x.
[0016] Optionally, the y carriage units K1, K2...K y The truck compartments are arranged in order of length from small to large. The target cargo collection location is located in the central storage warehouse, with y compartment units K1, K2...K y The distance L2 from the entrance of the central storage bin is inversely proportional to the size of y.
[0017] The present invention also proposes an intelligent dispatching device for collecting cargo from trucks, comprising:
[0018] The head unit division module divides the head parking area into x head units according to the x lengths of the truck head, recorded as H1, H2...H x Each head unit includes multiple sub-units H ab , where 1≤a≤x, b≥2;
[0019] The car unit division module divides the car parking area into y car units according to the y lengths of the truck car, which are recorded as K1, K2...K y ; Each carriage unit includes multiple sub-units K cd , where 1≤c≤y, d≥2;
[0020] The transport information analysis module selects the matching head unit H according to the target transport cargo information i And matching carriage unit K m ;where i∈x,m∈y;
[0021] The cargo collection vehicle selection module selects the target vehicle head H according to the target cargo collection location ij and target carriage K mn , target head H ij Find target carriage K mn After completing the hooking, it drives to the target collection location and waits for collection; where i∈x, j∈b, m∈y, n∈d.
[0022] Optionally, the target cargo information includes the total cargo volume V, the total cargo weight W, and the transport distance S between the starting and ending points. The transport information analysis module calculates the head candidate index E and the carriage candidate index F according to the V, W, and S, and then searches for a matching head unit H in the preset database according to the head candidate index E. i , the car candidate index F searches for the matching car unit K in the preset database m ;in:
[0023]
[0024] Among them, p1, p2, p3, p4, q1, q2, q3, q4, and q5 are all preset weight coefficients.
[0025] Optionally, the x head units H1, H2...H x Arrange them in order of the length of the truck head from small to large; the target cargo collection location is located in the central storage warehouse, x truck head units H1, H2...H x The distance L1 from the entrance of the central storage bin is inversely proportional to the size of x;
[0026] The y carriage units K1, K2...K y The truck compartments are arranged in order of length from small to large. The target cargo collection location is located in the central storage warehouse, with y compartment units K1, K2...K y The distance L2 from the entrance of the central storage bin is inversely proportional to the size of y.
[0027] The present invention also proposes a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the above-mentioned intelligent dispatching method for truck cargo collection.
[0028] The present invention also proposes an intelligent dispatching system for truck cargo collection, comprising: a processor and a controller, wherein the controller communicates with the processor and is used to execute the above-mentioned intelligent dispatching method for truck cargo collection.
[0029] As can be seen from the above solutions, the intelligent dispatching method, device, storage medium, and system for truck cargo collection provided by this application have at least the following beneficial effects compared with the prior art:
[0030] The use of artificial intelligence algorithms for scheduling improves the rationality and accuracy of vehicle scheduling; several vehicle parking areas in the city are grouped into different head units and carriage units, and then appropriate heads and carriages are dispatched in the city to match them according to the specific circumstances of the goods being transported, which not only ensures the adaptability of the transportation task, but also makes the maximum use of the resource allocation of multiple logistics centers in the city, effectively improving the efficiency of truck collection and scheduling; separating the head and carriage as two independent transportation task options can effectively reduce the problem of mismatch between the head or carriage and the current transportation task, and at the same time can effectively avoid the problem of low truck selection matching when the head and carriage are fixedly attached in the traditional mode; further, when selecting the head and carriage, the present application not only effectively improves the matching degree of truck assembly and transportation tasks, but also simultaneously studies and plans the path of the truck to the collection location, realizes the integration of truck assembly and optimal path planning, and achieves the effects of high scheduling accuracy, high efficiency, time saving and cost saving. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 This is a flowchart of an intelligent dispatching method for truck cargo collection proposed by the present invention;
[0032] Figure 2 This is a module diagram of an intelligent dispatching device for truck cargo collection proposed by the present invention. DETAILED DESCRIPTION
[0033] like Figure 1 As shown, Figure 1 This is a flowchart of an intelligent dispatching method for truck cargo collection proposed by the present invention.
[0034] Reference Figure 1 The intelligent dispatching method for truck cargo collection proposed by the present invention includes:
[0035] According to the x lengths of the truck head, the front parking area is divided into x head units, recorded as H1, H2...H x Each head unit includes multiple sub-units H ab , where 1≤a≤x, b≥2;
[0036] According to the y lengths of the freight car, the car parking area is divided into y car units, denoted as K1, K2...K y ; Each carriage unit includes multiple sub-units K cd , where 1≤c≤y, d≥2;
[0037] Select the matching head unit H according to the target cargo information i And matching carriage unit K m ;where i∈x,m∈y;
[0038] Select the target vehicle head H according to the target cargo collection location ij and target carriage K mn , target head H ij Find target carriage K mn After completing the hooking, it drives to the target collection location and waits for collection; where i∈x, j∈b, m∈y, n∈d.
[0039] In this embodiment, the locomotive and the carriage are stored and selected separately, and the locomotive and carriage that match each other can be selected for connection according to the specific circumstances of the transportation task, thereby improving flexibility and adjustability. For example, in the case of short-distance transportation and light cargo, a shorter locomotive is selected to improve transportation efficiency and cost; in the case of long-distance transportation and heavy cargo, a longer locomotive is selected to highlight advantages such as strong power, fast heat dissipation, sufficient rest space, and greater safety; and a two-way balanced benign cooperative relationship between logistics companies and cargo owners. In this embodiment, the target cargo information is used as the first reference for the selection of locomotives and carriages, and the large area of locomotives and carriages is preliminarily selected. The target cargo collection location is then used as the second reference for selection, and the locomotives and carriages with the optimal planned driving paths are further refined and selected within the large area, thereby achieving unified planning of vehicle selection and vehicle paths, and improving the accuracy and efficiency of vehicle dispatch.
[0040] In a further embodiment, the target cargo information includes the total volume V, total weight W, and transportation distance S between the starting and ending points. The vehicle head candidate index E is calculated based on the V, W, and S, and then the matching vehicle head unit H is searched in the preset database based on the vehicle head candidate index E. i ;in:
[0041]
[0042] Among them, p1, p2, p3, and p4 are all preset weight coefficients;
[0043] Calculate the carriage candidate index F according to the V, W, and S, and then search for the matching carriage unit K in the preset database according to the carriage candidate index F. m ;in:
[0044]
[0045] Among them, q1, q2, q3, q4, and q5 are all preset weight coefficients. Using the total volume V, total weight W, and transportation distance S of the cargo as the comprehensive calculation basis for the selection of the locomotive and carriages can achieve a dynamic balance between volume, weight, and distance, thereby optimizing transportation costs, transportation time, and transportation safety. When selecting a locomotive, further using the total weight W of the cargo as a secondary calculation indicator can effectively avoid the problem of low locomotive selection adaptability when the volume is large and the weight is small, or when the volume is small and the weight is large. When selecting a carriage, using the total volume V and total weight W of the cargo as secondary calculation indicators at the same time is conducive to balancing the dynamic demand relationship between volume and weight, and improving the accuracy of carriage selection.
[0046] In a further embodiment, the x head units H1, H2...H x Arrange them in order of the length of the truck head from small to large; the target cargo collection location is located in the central storage warehouse, x truck head units H1, H2...H x The distance L1 from the central storage compartment entrance is inversely proportional to the size of x. This allows shorter vehicles to move flexibly and longer vehicles to travel as short a distance as possible, effectively reducing the time and energy costs of the vehicle head when searching for a compartment.
[0047] In a further embodiment, the y carriage units K1, K2...K y The truck compartments are arranged in order of length from small to large. The target cargo collection location is located in the central storage warehouse, with y compartment units K1, K2...K y The distance L2 from the central storage warehouse entrance is inversely proportional to the size of y. This allows the longer carriage to reach the target collection location as quickly as possible after being connected to the locomotive, saving costs and increasing efficiency.
[0048] By planning the parking areas for the locomotive and carriages and using intelligent algorithms to synchronously select and dispatch the locomotive and carriages, two-way adaptation of the locomotive and carriages can be achieved, thereby improving dispatch efficiency in both directions.
[0049] Reference Figure 2 The present invention proposes an intelligent dispatching device for collecting cargo from trucks, comprising:
[0050] The head unit division module divides the head parking area into x head units according to the x lengths of the truck head, recorded as H1, H2...H x Each head unit includes multiple sub-units H ab , where 1≤a≤x, b≥2;
[0051] The car unit division module divides the car parking area into y car units according to the y lengths of the truck car, which are recorded as K1, K2...K y ; Each carriage unit includes multiple sub-units Kcd , where 1≤c≤y, d≥2;
[0052] The transport information analysis module selects the matching head unit H according to the target transport cargo information i And matching carriage unit K m ;where i∈x,m∈y;
[0053] The cargo collection vehicle selection module selects the target vehicle head H according to the target cargo collection location ij and target carriage K mn , target head H ij Find target carriage K mn After completing the hooking, it drives to the target collection location and waits for collection; where i∈x, j∈b, m∈y, n∈d.
[0054] This embodiment uses the target cargo information as the first reference for selecting the locomotive and carriages, preliminarily selects a large area for the locomotive and carriages, and then uses the target cargo collection location as the second reference for selection. It further refines the selection of locomotives and carriages with the optimal planned driving paths within the large area, realizing unified planning of vehicle selection and vehicle paths, and improving the accuracy and efficiency of vehicle scheduling.
[0055] Optionally, the target cargo information includes the total cargo volume V, the total cargo weight W, and the transport distance S between the starting and ending points. The transport information analysis module calculates the head candidate index E and the carriage candidate index F according to the V, W, and S, and then searches for a matching head unit H in the preset database according to the head candidate index E. i , the car candidate index F searches for the matching car unit K in the preset database m ;in:
[0056]
[0057] Among them, p1, p2, p3, p4, q1, q2, q3, q4, and q5 are all preset weight coefficients.
[0058] Using the total cargo volume V, total cargo weight W, and transportation distance S between the origin and destination as the comprehensive calculation basis for locomotive and carriage selection can achieve a dynamic balance between volume, weight, and distance, thereby optimizing transportation costs, transportation time, and transportation safety. When selecting a locomotive, further using the total cargo weight W as a secondary calculation indicator can effectively avoid the problem of low locomotive selection adaptability when the volume is large and the weight is small, or when the volume is small and the weight is large. When selecting a carriage, using both the total cargo volume V and the total cargo weight W as secondary calculation indicators is conducive to balancing the dynamic demand relationship between volume and weight, and improving the accuracy of carriage selection.
[0059] Optionally, the x head units H1, H2...H x Arrange them in order of the length of the truck head from small to large; the target cargo collection location is located in the central storage warehouse, x carriage units H1, H2...H x The distance L1 from the entrance of the central storage bin is inversely proportional to the size of x;
[0060] The y carriage units K1, K2...K y The truck compartments are arranged in order of length from small to large. The target cargo collection location is located in the central storage warehouse, with y compartment units K1, K2...K y The distance L2 from the entrance of the central storage bin is inversely proportional to the size of y.
[0061] By planning the parking areas for the locomotive and carriages and using intelligent algorithms to synchronously select and dispatch the locomotive and carriages, two-way adaptation of the locomotive and carriages can be achieved, thereby improving dispatch efficiency in both directions.
[0062] In a further embodiment, the present invention also proposes a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the above-mentioned intelligent scheduling method for truck collection.
[0063] In a further embodiment, the present invention also proposes an intelligent dispatching system for truck cargo collection, comprising: a processor and a controller, wherein the controller communicates with the processor to execute the above-mentioned intelligent dispatching method for truck cargo collection.
[0064] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.
Claims
1. An intelligent dispatching method for truck cargo collection, characterized in that: include: According to the x lengths of the truck head, the front parking area is divided into x head units, recorded as H1, H2...H x Each head unit includes multiple sub-units H ab , where 1≤a≤x, b≥2; According to the y lengths of the freight car, the car parking area is divided into y car units, denoted as K1, K2...K y ; Each carriage unit includes multiple sub-units K cd , where 1≤c≤y, d≥2; Select the matching head unit H according to the target cargo information i And matching carriage unit K m ;where i∈x,m∈y; Select the target vehicle head H according to the target cargo collection location ij and target carriage K mn , target head H ij Find target carriage K mn After completing the hooking, it drives to the target collection location and waits for collection; where i∈x, j∈b, m∈y, n∈d.
2. The intelligent dispatching method for truck cargo collection according to claim 1, characterized in that: The target cargo information includes the total volume V, total weight W, and transportation distance S between the starting and ending points. The vehicle head candidate index E is calculated based on the V, W, and S, and then the matching vehicle head unit H is searched in the preset database based on the vehicle head candidate index E. i ; in: Among them, p1, p2, p3, and p4 are all preset weight coefficients.
3. The intelligent dispatching method for truck cargo collection according to claim 2, characterized in that: Calculate the carriage candidate index F according to the V, W, and S, and then search for the matching carriage unit K in the preset database according to the carriage candidate index F. m ; in: Among them, q1, q2, q3, q4, and q5 are all preset weight coefficients.
4. The intelligent dispatching method for truck cargo collection according to claim 1, characterized in that: The x head units H1, H2...H x Arrange them in order of the length of the truck head from small to large; the target cargo collection location is located in the central storage warehouse, x truck head units H1, H2...H x The distance L1 from the entrance of the central storage bin is inversely proportional to the size of x.
5. The intelligent dispatching method for truck cargo collection according to claim 1, characterized in that: The y carriage units K1, K2...K y The truck compartments are arranged in order of length from small to large. The target cargo collection location is located in the central storage warehouse, with y compartment units K1, K2...K y The distance L2 from the entrance of the central storage bin is inversely proportional to the size of y.
6. An intelligent dispatching device for collecting goods on trucks, characterized in that: include: The head unit division module divides the head parking area into x head units according to the x lengths of the truck head, recorded as H1, H2...H x Each head unit includes multiple sub-units H ab , where 1≤a≤x, b≥2; The car unit division module divides the car parking area into y car units according to the y lengths of the truck car, which are recorded as K1, K2...K y ; Each carriage unit includes multiple sub-units K cd , where 1≤c≤y, d≥2; The transport information analysis module selects the matching head unit H according to the target transport cargo information i And matching carriage unit K m ;where i∈x,m∈y; The cargo collection vehicle selection module selects the target vehicle head H according to the target cargo collection location ij and target carriage K mn , target head H ij Find target carriage K mn After completing the hooking, it drives to the target collection location and waits for collection; where i∈x, j∈b, m∈y, n∈d.
7. The intelligent dispatching device for truck cargo collection according to claim 6, characterized in that: The target cargo information includes the total volume V, total weight W, and transportation distance S between the starting and ending points. The transport information analysis module calculates the head candidate index E and the carriage candidate index F according to V, W, and S, and then searches for the matching head unit H in the preset database according to the head candidate index E. i , the car candidate index F searches for the matching car unit K in the preset database m ; in: Among them, p1, p2, p3, p4, q1, q2, q3, q4, and q5 are all preset weight coefficients.
8. The intelligent dispatching device for collecting cargo on trucks according to claim 6, characterized in that: The x head units H1, H2...H x Arrange them in order of the length of the truck head from small to large; the target cargo collection location is located in the central storage warehouse, x truck head units H1, H2...H x The distance L1 from the entrance of the central storage bin is inversely proportional to the size of x; The y carriage units K1, K2...K y The truck compartments are arranged in order of length from small to large. The target cargo collection location is located in the central storage warehouse, with y compartment units K1, K2...K y The distance L2 from the entrance of the central storage bin is inversely proportional to the size of y.
9. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the intelligent dispatching method for truck cargo collection according to any one of claims 1 to 5.
10. An intelligent dispatching system for truck cargo collection, characterized in that: include: A processor and a controller, wherein the controller communicates with the processor and is used to execute the intelligent dispatching method for truck cargo collection as described in any one of claims 1 to 5.