Logistics management method and device, equipment and medium

Through the method of automation analysis and combination of logistics orders, the traditional logistics group single relying on the problem of low efficiency and cost caused by manual efficiency, and realizing the improvement of logistics efficiency and the reduction of transportation costs.

CN119379133APending Publication Date: 2025-01-28GUANGDONG XINTUO COMPUTER TECH CO LTD
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Patent Information

Application Number
CN202411450795.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-17
Publication Date
2025-01-28

AI Technical Summary

Technical Problem

The traditional logistics order grouping process relies on manual calculations and operations, resulting in too many customer destinations, too many sales orders, unclear order combination rules, too many calculation elements and low processing efficiency, and unable to effectively output the complete vehicle shipment combination and optimal transportation. Cost solutions cause problems such as high transportation costs and low business processing efficiency.

Method used

By obtaining the volume and minimum vehicle volume of the transport vehicle, and the customer's address and cargo volume in the logistics order, the automatic analysis of big data and artificial intelligence algorithm and combining logistics orders are used to output the delivery portfolio of each logistics order to meet the entire vehicle to meet the vehicle Delivery configuration volume, improve logistics efficiency and reduce transportation costs.

Benefits of technology

The full -chain automation processing from order collection to delivery scheme output is realized, the operating efficiency of the group's single business is improved, the logistics cost is significantly reduced, and the high accuracy and reliability of the group order process is ensured.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a logistics management method and device, equipment and a medium. The method comprises the steps of obtaining the volume of a first transport vehicle, a first minimum vehicle closing volume and a logistics order comprising a client address and the volume of goods; selecting a logistics order whose client address satisfies a preset transportation network to obtain a first target logistics order; selecting at least one first target logistics order of which the volume sum of goods is greater than or equal to the first minimum vehicle closing volume and is less than or equal to the volume of the first transport vehicle, and obtaining a first target logistics order group; the delivery strategy of each customer address is automatically analyzed and carded, the delivery combination of each logistics order is output, the whole vehicle delivery configuration volume is met to the maximum, the logistics efficiency is improved, and the transportation cost is reduced.
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Description

Technical Field

[0001] The embodiments of the present application relate to the field of logistics management, and in particular to logistics management methods, devices, equipment and media. Background Art

[0002] As an important part of the logistics business chain, logistics order combination is responsible for planning order shipments, transportation resources, and transportation route planning and arrangement. The traditional logistics order combination process relies heavily on manual calculation, judgment, and operation, facing many problems such as too many customer destinations, too many sales orders, unclear order combination rules, too many order combination calculation elements, and low human processing efficiency. These problems make it impossible to effectively output the whole vehicle shipment combination and the best transportation cost plan, further causing the problems of high logistics transportation costs and low business processing efficiency. Summary of the invention

[0003] The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.

[0004] The purpose of this application is to solve one of the technical problems existing in the related art to at least a certain extent. The embodiments of this application provide logistics management methods, devices, equipment and media, which can improve logistics efficiency and reduce transportation costs.

[0005] An embodiment of the first aspect of the present application, a logistics management method, includes:

[0006] Obtaining the capacity of the first transport vehicle, the first minimum combined vehicle volume, and a logistics order, wherein the logistics order includes a customer address and a volume of the goods;

[0007] Selecting a logistics order whose customer address satisfies a preset transportation network to obtain a first target logistics order;

[0008] Select at least one of the first target logistics orders whose sum of the volumes of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle to obtain a first target logistics order group.

[0009] According to certain embodiments of the first aspect of the present application, the step of selecting at least one of the first target logistics orders whose sum of volumes of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle to obtain a first target logistics order group includes:

[0010] The following steps are performed until all combinations of the first target logistics orders in the set of first target logistics orders are smaller than the volume of the first transport vehicle:

[0011] In the set of the first target logistics orders, select at least one of the first target logistics orders whose sum of the volumes of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle to obtain a first candidate target logistics order group; select the first candidate target logistics order group whose sum of the volumes of the goods is the smallest to obtain a first target logistics order group; delete the first target logistics order corresponding to the first target logistics order group from the set of the first target logistics orders.

[0012] According to certain embodiments of the first aspect of the present application, after obtaining the first target logistics order group, the logistics management method further includes:

[0013] Acquire the volume of the second transport vehicle and the second minimum vehicle-combining volume, wherein the volume of the second transport vehicle is smaller than the volume of the first transport vehicle, and the second minimum vehicle-combining volume is smaller than the first minimum vehicle-combining volume;

[0014] Selecting first target logistics orders other than the first target logistics order group to obtain second target logistics orders;

[0015] Select at least one of the second target logistics orders whose sum of the volumes of the goods is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle to obtain a second target logistics order group.

[0016] According to certain embodiments of the first aspect of the present application, the step of selecting at least one second target logistics order whose sum of volumes of the goods is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle to obtain a second target logistics order group includes:

[0017] The following steps are performed until all combinations of the second target logistics orders in the set of second target logistics orders are smaller than the capacity of the second transport vehicle:

[0018] From the set of the second target logistics orders, select at least one of the second target logistics orders whose sum of the volumes of the goods is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle to obtain a second candidate target logistics order group; select the second candidate target logistics order group whose sum of the volumes of the goods is the smallest to obtain a second target logistics order group; delete the second target logistics order corresponding to the second target logistics order group from the set of the second target logistics orders.

[0019] According to certain embodiments of the first aspect of the present application, after obtaining the first target logistics order group, the logistics management method further includes:

[0020] Selecting a first target logistics order other than the first target logistics order group to obtain a first candidate additional logistics order;

[0021] Selecting at least one first candidate additional logistics order whose sum of cargo volumes is within a preset first cargo volume interval to obtain a first candidate additional logistics order group;

[0022] Calculate the difference between the total volume of the goods in the first candidate additional logistics order group and the first minimum combined vehicle volume to obtain the first additional order goods volume;

[0023] In response to the received first additional order information, a first target additional order group is obtained according to the first additional order cargo volume and the first candidate additional logistics order group.

[0024] According to certain embodiments of the first aspect of the present application, after obtaining the second target logistics order group, the logistics management method further includes:

[0025] Selecting a second target logistics order other than the second target logistics order group to obtain a second candidate additional logistics order;

[0026] Selecting at least one second candidate additional logistics order whose sum of cargo volumes is within a preset second cargo volume interval to obtain a second candidate additional logistics order group;

[0027] Calculate the difference between the total volume of the goods in the second candidate additional logistics order group and the second minimum combined vehicle volume to obtain the second additional order goods volume;

[0028] In response to the received second additional order information, a second target additional order group is obtained according to the second additional order cargo volume and the second candidate additional logistics order group.

[0029] According to certain embodiments of the first aspect of the present application, the transportation network is constructed in the following manner:

[0030] Get the coordinates of the customer's address;

[0031] Calculating the straight-line distance between two customer addresses according to the coordinates of the customer addresses;

[0032] Select two customer addresses whose straight-line distance is less than a preset straight-line distance threshold to obtain a candidate address combination;

[0033] Calculate the minimum navigation distance of the candidate address combination according to the map of the traffic route;

[0034] Select a candidate address combination whose minimum navigation distance is less than a preset navigation distance threshold to obtain a target address combination;

[0035] A transportation network is constructed by combining at least one of the target addresses.

[0036] An embodiment of the second aspect of the present application, a logistics management device, includes:

[0037] An input module, used to obtain the volume of the first transport vehicle, the first minimum combined vehicle volume and a logistics order, wherein the logistics order includes a customer address and a volume of goods;

[0038] A first screening module is used to select the logistics order whose customer address satisfies the preset transportation network to obtain a first target logistics order;

[0039] The second screening module is used to select at least one of the first target logistics orders whose sum of the volumes of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle, to obtain a first target logistics order group.

[0040] An embodiment of the third aspect of the present application is an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the logistics management method described in the embodiment of the first aspect of the present application is implemented.

[0041] An embodiment of the fourth aspect of the present application is a computer-readable storage medium storing a computer program, characterized in that when the computer program is executed by a processor, the logistics management method described in the embodiment of the first aspect of the present application is implemented.

[0042] This application has the following beneficial effects: by combining factors such as customer priority, network combination priority of shipping customer address, and delivery time of logistics order, the shipping strategy of each customer address is automatically analyzed and sorted out using big data and artificial intelligence algorithms, and the shipping combination of each logistics order is output, and the volume of the whole vehicle shipping configuration is maximized to improve logistics efficiency and reduce transportation costs. The maximum whole vehicle shipping rate of the order pool is achieved, which significantly reduces logistics costs; the full chain of automated processing from order collection to delivery plan output is achieved, which improves the operational efficiency of the order grouping business; at the same time, the rules are flexibly configured according to actual needs to meet diverse business needs and ensure the high accuracy and reliability of the order grouping process. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide further understanding of the technical solution of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present application and do not constitute a limitation on the technical solution of the present application.

[0044] Figure 1 is a step diagram of the logistics management method provided by the embodiment of the present application;

[0045] Figure 2 is a diagram of steps for constructing a transportation network provided by an embodiment of the present application;

[0046] Figure 3 is a step diagram of the steps of placing an additional order for a first transport vehicle provided in an embodiment of the present application;

[0047] Figure 4 is a step diagram of steps for building a vehicle order for a second transport vehicle provided in an embodiment of the present application;

[0048] Figure 5 is a step diagram of the steps of placing an additional order for a second transport vehicle provided in an embodiment of the present application;

[0049] Figure 6 It is a structural diagram of the logistics management device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0051] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification, claims or the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0052] The embodiments of the present application are further described below in conjunction with the accompanying drawings.

[0053] An embodiment of the present application provides a logistics management method.

[0054] Reference Figure 1 , the logistics management method comprises the following steps:

[0055] Step S100, obtaining the capacity of the first transport vehicle, the first minimum combined vehicle volume and the logistics order;

[0056] Step S200, selecting a logistics order whose customer address satisfies a preset transportation network to obtain a first target logistics order;

[0057] Step S300, selecting at least one first target logistics order whose sum of the volumes of goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle, to obtain a first target logistics order group.

[0058] For step S100, the capacity of the first transport vehicle, the first minimum combined vehicle volume and the logistics order are input by the user through an input device, or are read from a database.

[0059] The volume of the first transport vehicle is the maximum volume of the first transport vehicle; for example, the first transport vehicle is a truck, and the maximum volume of the truck is 60 cubic meters.

[0060] The first minimum combined vehicle volume is the minimum volume of the goods that can be transported by the first transport vehicle.

[0061] The logistics order includes the customer address and the volume of the goods. Of course, the logistics order can also include the following information: order number, name and specifications of the goods, etc.

[0062] Reference Figure 2 , for step S200, constructing a transportation network includes the following steps:

[0063] Step S11, obtaining the coordinates of the customer address;

[0064] Step S12, calculating the straight-line distance between two customer addresses according to the coordinates of the customer addresses;

[0065] Step S13, selecting two customer addresses whose straight-line distance is less than a preset straight-line distance threshold to obtain a candidate address combination;

[0066] Step S14, calculating the minimum navigation distance of the candidate address combination according to the map of the traffic route;

[0067] Step S15, selecting a candidate address combination whose minimum navigation distance is less than a preset navigation distance threshold to obtain a target address combination;

[0068] Step S16, constructing a transportation network by combining at least one target address.

[0069] For step S11, the customer addresses of all logistics orders are collected, and the coordinates of the customer addresses, specifically the longitude and latitude coordinates, are analyzed and preprocessed, such as removing duplicates, formatting address information, etc., to ensure the accuracy of subsequent calculations.

[0070] For step S12, the straight-line distance between any two customer addresses is calculated based on the coordinates of the customer addresses. For example, there are customer addresses A, B, and C. The straight-line distance between customer addresses A and B is calculated, the straight-line distance between customer addresses B and C is calculated, and the straight-line distance between customer addresses A and C is calculated.

[0071] For step S13, two customer addresses whose straight-line distance is less than a preset straight-line distance threshold are selected to obtain a candidate address combination; for example, the preset straight-line distance threshold is 150 km, and two customer addresses whose straight-line distance is less than 150 km are selected as the candidate address combination.

[0072] For step S14, the minimum navigation distance of the candidate address combination is calculated based on the map of the traffic route. The map includes traffic routes such as expressways and ordinary roads. The distance of the traffic route from one customer address to another customer address is calculated, and the minimum value of the distance is taken as the minimum navigation distance.

[0073] For step S15, a candidate address combination whose minimum navigation distance is less than a preset navigation distance threshold is selected to obtain a target address combination; for example, the preset navigation distance threshold is 150km, and a candidate address combination whose minimum navigation distance is less than 150km is selected as the target address combination.

[0074] For step S16, a transportation network is constructed by combining all the target addresses.

[0075] The logistics orders whose customer addresses satisfy the preset transportation network are selected to obtain the first target logistics orders. For example, if the customer addresses A and B are in the transportation network, the logistics orders to the customer addresses A and B are the logistics orders whose customer addresses satisfy the preset transportation network.

[0076] For step S300, selecting at least one first target logistics order whose sum of the volumes of goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle to obtain a first target logistics order group includes the following steps:

[0077] The following steps are performed until all combinations of the first target logistics orders in the set of first target logistics orders are smaller than the capacity of the first transport vehicle:

[0078] From the set of first target logistics orders, select at least one first target logistics order whose sum of cargo volumes is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle to obtain a first candidate target logistics order group; select the first candidate target logistics order group whose sum of cargo volumes is the smallest to obtain the first target logistics order group; delete the first target logistics order corresponding to the first target logistics order group from the set of first target logistics orders.

[0079] For example, the first target logistics order includes: logistics order A: 20 cubic meters, logistics order B: 25 cubic meters, logistics order C: 35 cubic meters, logistics order D: 12 cubic meters, logistics order E: 15 cubic meters. Logistics order A, logistics order B, logistics order C, logistics order D and logistics order E are all placed in the set of the first target logistics order.

[0080] The volume of the first transport vehicle is 60 cubic meters, and the volume of the first minimum combined vehicle is 45 cubic meters.

[0081] At least one first target logistics order is selected, the sum of the volumes of goods being greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle, including a combination of logistics order A and logistics order B: 45 cubic meters, a combination of flow order A and logistics order C: 55 cubic meters, a combination of flow order B and logistics order C: 60 cubic meters, logistics order C and logistics order D: 47 cubic meters, and logistics order C and logistics order E: 50 cubic meters. A first candidate target logistics order group is obtained.

[0082] The first candidate target logistics order group with the smallest sum of the volumes of goods is selected, which is a combination of logistics order A and logistics order B, to obtain the first target logistics order group.

[0083] The first target logistics order corresponding to the first target logistics order group is deleted from the set of first target logistics orders; logistics order A and logistics order B are deleted from the set of first target logistics orders. The set of first target logistics orders is left with logistics order C, logistics order D and logistics order E.

[0084] Continue to select at least one first target logistics order whose sum of the volumes of goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle, including logistics order C and logistics order D: 47 cubic meters, logistics order C and logistics order E: 50 cubic meters, and obtain a first candidate target logistics order group.

[0085] The first candidate target logistics order group with the smallest sum of the volumes of goods is selected, which are logistics order C and logistics order D, to obtain the first target logistics order group.

[0086] The first target logistics order corresponding to the first target logistics order group is deleted from the set of first target logistics orders; logistics order C and logistics order D are deleted from the set of first target logistics orders. The set of first target logistics orders only has logistics order E.

[0087] All combinations of the first target logistics orders in the set of first target logistics orders are smaller than the volume of the first transport vehicle.

[0088] Output the final first target logistics order group, the final first target logistics order group includes: logistics order A and logistics order B, logistics order C and logistics order D.

[0089] Reference Figure 3 After obtaining the first target logistics order group, the logistics management method further includes the following additional order steps for the first transport vehicle:

[0090] Step S410, selecting a first target logistics order other than the first target logistics order group to obtain a first candidate additional logistics order;

[0091] Step S420, selecting at least one first candidate additional logistics order whose sum of cargo volumes is within a preset first cargo volume interval, to obtain a first candidate additional logistics order group;

[0092] Step S430, calculating the difference between the total volume of the goods in the first candidate additional logistics order group and the first minimum combined volume, to obtain the first additional order goods volume;

[0093] Step S440, in response to the received first additional order information, a first target additional order group is obtained according to the first additional order cargo volume and the first candidate additional logistics order group.

[0094] For example, the first target logistics order other than the first target logistics order group is selected to obtain the first candidate additional logistics order, including logistics order E: 15 cubic meters and logistics order F: 20 cubic meters.

[0095] Select at least one first candidate additional logistics order whose sum of the volumes of goods is within the preset first cargo volume range. For example, the first cargo volume range is set to 35 cubic meters to 45 cubic meters, and the sum of the volumes of goods in logistics order E and logistics order F is 35 cubic meters, then select logistics order E and logistics order F to obtain the first candidate additional logistics order group.

[0096] Calculate the difference between the total volume of the goods in the first candidate additional logistics order group and the first minimum combined vehicle volume. Subtract the sum of the volumes of the goods in logistics order E and logistics order F, 35 cubic meters, from the first minimum combined vehicle volume, 45 cubic meters. The volume of the goods in the first additional order is 10 cubic meters.

[0097] Send additional order consultation information to the customer to inquire whether the customer adds an order of 10 cubic meters to form a full truckload, which can reduce transportation costs. When the first additional order information sent by the customer is received, the additional order is determined; according to the first additional order cargo volume and the first candidate additional logistics order group, 10 cubic meters of cargo are added to logistics order E and logistics order F to form the first candidate additional logistics order group. The volume of the cargo in the first candidate additional logistics order group is 45 cubic meters, and the volume of the cargo in the first candidate additional logistics order group is greater than or equal to the first minimum combined vehicle volume.

[0098] Reference Figure 4 After obtaining the first target logistics order group, the logistics management method further includes the following steps of building a vehicle order for the second transport vehicle:

[0099] Step S510, obtaining the volume of the second transport vehicle and the second minimum combined vehicle volume;

[0100] Step S520, selecting the first target logistics order except the first target logistics order group to obtain the second target logistics order;

[0101] Step S530, select at least one second target logistics order whose sum of the volumes of goods is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle, to obtain a second target logistics order group.

[0102] The volume of the second transport vehicle is smaller than that of the first transport vehicle, and the second minimum combined vehicle volume is smaller than the first minimum combined vehicle volume. For example, the second transport vehicle is an agricultural vehicle, the volume of the second transport vehicle is 25 cubic meters, and the second minimum combined vehicle volume is 18 cubic meters.

[0103] Further, selecting at least one second target logistics order whose sum of the volumes of goods is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle to obtain a second target logistics order group includes the following steps:

[0104] The following steps are performed until all combinations of the second target logistics orders in the set of second target logistics orders are smaller than the capacity of the second transport vehicle:

[0105] From the set of second target logistics orders, select at least one second target logistics order whose sum of cargo volumes is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle to obtain a second candidate target logistics order group; select the second candidate target logistics order group with the smallest sum of cargo volumes to obtain a second target logistics order group; delete the second target logistics order corresponding to the second target logistics order group from the set of second target logistics orders.

[0106] Reference Figure 5 After obtaining the second target logistics order group, the logistics management method further includes the following additional order steps for the second transport vehicle:

[0107] Step S610, selecting a second target logistics order other than the second target logistics order group to obtain a second candidate additional logistics order;

[0108] Step S620, selecting at least one second candidate additional logistics order whose sum of cargo volumes is within a preset second cargo volume interval, to obtain a second candidate additional logistics order group;

[0109] Step S630, calculating the difference between the total volume of the goods in the second candidate additional logistics order group and the second minimum combined volume, to obtain the second additional order goods volume;

[0110] Step S640, in response to the received second additional order information, obtaining a second target additional order group according to the second additional order cargo volume and the second candidate additional logistics order group.

[0111] After the order is successfully followed up, the shipping combination plan is updated, and the LTL shipment is converted to full truck shipment to reduce the unit price of the plan. The core purpose is to optimize the combination that is close to full truck shipment. By adding orders to customers, the total volume of the shipping combination sales order reaches full truck shipment, thereby achieving the purpose of reducing the LTL shipment volume and reducing logistics costs.

[0112] This logistics management method combines factors such as customer priority, shipping customer address network combination priority, logistics order delivery timeliness, etc., uses big data and artificial intelligence algorithms to automatically analyze and sort out the shipping strategies for each customer address, output the shipping combination for each logistics order, and maximize the volume of the vehicle shipping configuration, thereby improving logistics efficiency and reducing transportation costs.

[0113] The maximum vehicle shipment rate of order pool shipments is achieved, significantly reducing logistics costs. The full-chain automated processing from order collection to delivery plan output is realized, improving the operational efficiency of order assembly business. At the same time, the rules are flexibly configured according to actual needs to meet diverse business needs, ensuring the high accuracy and reliability of the order assembly process.

[0114] An embodiment of the present application provides a logistics management device.

[0115] Reference Figure 6 The logistics management device includes: an input module 100, a first screening module 200 and a second screening module 300.

[0116] Among them, the input module 100 is used to obtain the volume of the first transport vehicle, the first minimum combined vehicle volume and the logistics order, and the logistics order includes the customer address and the volume of the goods; the first screening module 200 is used to select the logistics orders whose customer addresses meet the preset transportation network to obtain the first target logistics order; the second screening module 300 is used to select at least one first target logistics order whose sum of the volume of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle to obtain the first target logistics order group.

[0117] It is understandable that the logistics management device applies the logistics management method described above, and each module of the logistics management device corresponds to each step of the logistics management method. The logistics management device and the logistics management method have the same technical solution, solve the same technical problems, and have the same technical effects.

[0118] An embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the logistics management method described above when executing the computer program.

[0119] The electronic device may be any intelligent terminal including a computer.

[0120] In general, for the hardware structure of the electronic device, the processor can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., to execute related programs to implement the technical solutions provided in the embodiments of the present application.

[0121] The memory can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory can store an operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory, and the processor is called to execute the methods of the embodiments of this application.

[0122] The input / output interface is used to realize information input and output.

[0123] The communication interface is used to realize the communication interaction between this device and other devices. Communication can be achieved through wired methods (such as USB, network cable, etc.) or wireless methods (such as mobile network, WIFI, Bluetooth, etc.).

[0124] The bus transmits information between the various components of the device (such as the processor, memory, input / output interface, and communication interface). The processor, memory, input / output interface, and communication interface communicate with each other within the device through the bus.

[0125] An embodiment of the present application provides a computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions are used to execute the logistics management method described above.

[0126] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. In addition, it is well known to those of ordinary skill in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium. In the above description of this specification, the description of reference terms "one embodiment / example", "another embodiment / example" or "certain embodiments / examples" and the like means that the specific features, structures, materials or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0127] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0128] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0129] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0130] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0131] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above-mentioned units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. Although the embodiments of the present application have been shown and described, it can be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and purposes of the present application, and the scope of the present application is defined by the claims and their equivalents.

[0132] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the embodiments. Technical personnel familiar with the field can make various equivalent modifications or substitutions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A logistics management method, characterized in that: include: Obtaining the capacity of the first transport vehicle, the first minimum combined vehicle volume, and a logistics order, wherein the logistics order includes a customer address and a volume of the goods; Selecting a logistics order whose customer address satisfies a preset transportation network to obtain a first target logistics order; Select at least one of the first target logistics orders whose sum of the volumes of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle to obtain a first target logistics order group.

2. A logistics management method according to claim 1, characterized in that: The step of selecting at least one of the first target logistics orders whose sum of volumes of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle to obtain a first target logistics order group comprises: The following steps are performed until all combinations of the first target logistics orders in the set of first target logistics orders are smaller than the volume of the first transport vehicle: In the set of the first target logistics orders, at least one of the first target logistics orders whose sum of the volumes of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle is selected to obtain a first candidate target logistics order group; Selecting the first candidate target logistics order group with the smallest sum of volumes of the goods to obtain a first target logistics order group; The first target logistics order corresponding to the first target logistics order group is deleted from the set of the first target logistics orders.

3. A logistics management method according to claim 1, characterized in that: After obtaining the first target logistics order group, the logistics management method further includes: Acquire the volume of the second transport vehicle and the second minimum vehicle-combining volume, wherein the volume of the second transport vehicle is smaller than the volume of the first transport vehicle, and the second minimum vehicle-combining volume is smaller than the first minimum vehicle-combining volume; Selecting first target logistics orders other than the first target logistics order group to obtain second target logistics orders; Select at least one of the second target logistics orders whose sum of the volumes of the goods is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle to obtain a second target logistics order group.

4. A logistics management method according to claim 3, characterized in that: The step of selecting at least one of the second target logistics orders whose sum of volumes of the goods is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle to obtain a second target logistics order group includes: The following steps are performed until all combinations of the second target logistics orders in the set of second target logistics orders are smaller than the capacity of the second transport vehicle: From the set of the second target logistics orders, select at least one of the second target logistics orders whose sum of the volumes of the goods is greater than or equal to the second minimum combined vehicle volume and less than or equal to the volume of the second transport vehicle to obtain a second candidate target logistics order group; select the second candidate target logistics order group whose sum of the volumes of the goods is the smallest to obtain a second target logistics order group; delete the second target logistics order corresponding to the second target logistics order group from the set of the second target logistics orders.

5. A logistics management method according to claim 1, characterized in that: After obtaining the first target logistics order group, the logistics management method further includes: Selecting a first target logistics order other than the first target logistics order group to obtain a first candidate additional logistics order; Selecting at least one first candidate additional logistics order whose sum of cargo volumes is within a preset first cargo volume interval to obtain a first candidate additional logistics order group; Calculate the difference between the total volume of the goods in the first candidate additional logistics order group and the first minimum combined vehicle volume to obtain the volume of the first additional order goods; In response to the received first additional order information, a first target additional order group is obtained according to the first additional order cargo volume and the first candidate additional logistics order group.

6. A logistics management method according to claim 3, characterized in that: After obtaining the second target logistics order group, the logistics management method further includes: Selecting a second target logistics order other than the second target logistics order group to obtain a second candidate additional logistics order; Selecting at least one second candidate additional logistics order whose sum of cargo volumes is within a preset second cargo volume interval to obtain a second candidate additional logistics order group; Calculate the difference between the total volume of the goods in the second candidate additional logistics order group and the second minimum combined vehicle volume to obtain the second additional order goods volume; In response to the received second additional order information, a second target additional order group is obtained according to the second additional order cargo volume and the second candidate additional logistics order group.

7. A logistics management method according to claim 1, characterized in that: The transport network is constructed in the following manner: Get the coordinates of the customer's address; Calculating the straight-line distance between two customer addresses according to the coordinates of the customer addresses; Select two customer addresses whose straight-line distance is less than a preset straight-line distance threshold to obtain a candidate address combination; Calculate the minimum navigation distance of the candidate address combination according to the map of the traffic route; Select a candidate address combination whose minimum navigation distance is less than a preset navigation distance threshold to obtain a target address combination; A transportation network is constructed by combining at least one of the target addresses.

8. A logistics management device, characterized in that: include: An input module, used to obtain the volume of the first transport vehicle, the first minimum combined vehicle volume and a logistics order, wherein the logistics order includes a customer address and a volume of goods; A first screening module is used to select the logistics order whose customer address satisfies the preset transportation network to obtain a first target logistics order; The second screening module is used to select at least one of the first target logistics orders whose sum of the volumes of the goods is greater than or equal to the first minimum combined vehicle volume and less than or equal to the volume of the first transport vehicle, to obtain a first target logistics order group.

9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the logistics management method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the logistics management method according to any one of claims 1 to 7 is implemented.