CN110245900B - Cargo allocation method, device, server and medium - Google Patents

Cargo allocation method, device, server and medium Download PDF

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Publication number
CN110245900B
CN110245900B CN201910531043.5A CN201910531043A CN110245900B CN 110245900 B CN110245900 B CN 110245900B CN 201910531043 A CN201910531043 A CN 201910531043A CN 110245900 B CN110245900 B CN 110245900B
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information
delivery cabinet
user
order
target
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CN110245900A (en
Inventor
李文青
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Shenzhen Hive Box Technology Co Ltd
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Shenzhen Hive Box Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07FCOIN-FREED OR LIKE APPARATUS
    • G07F17/00Coin-freed apparatus for hiring articles; Coin-freed facilities or services
    • G07F17/10Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
    • G07F17/12Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned

Abstract

The embodiment of the invention discloses a cargo allocation method, a cargo allocation device, a server and a medium, and relates to the technical field of intelligent logistics. The method comprises the following steps: responding to a user ordering request, and determining a target delivery cabinet machine storing articles related to user order information according to information of articles put in the delivery cabinet machine in advance and the user order information; and sending a goods taking code of the target delivery cabinet machine to the user, so that the user takes out the user order information related articles from the target delivery cabinet machine by adopting the goods taking code. According to the embodiment of the invention, the target delivery cabinet is determined according to the order information of the user and the information of the articles put in the delivery cabinet in advance, and the pickup code is sent to the user, so that the effect of taking the articles immediately in a minute level after the user places an order is realized, and the pickup time of the user is shortened.

Description

Cargo allocation method, device, server and medium
Technical Field
The embodiment of the invention relates to the technical field of intelligent logistics, in particular to a cargo allocation method, a cargo allocation device, a server and a medium.
Background
Along with the rapid development of electronic commerce and the convenience brought, more and more people select online shopping, and in the online shopping process, the receiving speed of the buyer is an important assessment standard, so that each large electronic commerce platform thinks of a method to reduce the receiving time of the buyer.
The current mainstream method is to build a plurality of warehouses in each large and medium-sized city, and store different kinds of commodities in each warehouse, when the user orders on the internet, the merchant carries out shipment according to the nearest warehouse, so as to reduce the time for receiving the commodity by the buyer.
However, the method is only suitable for large and medium-sized cities, some small cities do not establish warehouses, the method cannot meet the requirement of users for taking goods immediately in a minute level, order cancellation refund is easy to generate when the goods are not shipped, and the extremely experience of the users for acquiring goods at the highest speed after purchasing can not be ensured.
Disclosure of Invention
The embodiment of the invention provides a goods allocation method, a device, a server and a medium, which are used for solving the problem that the conventional goods allocation method can not realize the immediate goods taking of a user in a minute level, so that order cancellation refund is easy to generate.
In a first aspect, an embodiment of the present invention provides a method for dispensing, the method including:
responding to a user ordering request, and determining a target delivery cabinet machine storing articles related to user order information according to information of articles put in the delivery cabinet machine in advance and the user order information;
and sending a goods taking code of the target delivery cabinet machine to the user, so that the user takes out the user order information related articles from the target delivery cabinet machine by adopting the goods taking code.
In a second aspect, embodiments of the present invention provide a dispensing device, the device comprising:
the target delivery cabinet determining module is used for responding to a user ordering request, and determining the target delivery cabinet storing the articles related to the user order information according to the information of the articles put in the delivery cabinet in advance and the user order information;
and the goods taking code sending module is used for sending the goods taking code of the target delivery cabinet machine to the user so that the user can take out the goods related to the user order information from the target delivery cabinet machine by adopting the goods taking code.
In a third aspect, an embodiment of the present invention provides a server, where the server further includes:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method of dispensing as described in any of the embodiments of the present invention.
In a fourth aspect, embodiments of the present invention provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method of dispensing according to any of the embodiments of the present invention.
According to the embodiment of the invention, the target delivery cabinet is determined according to the order information of the user and the information of the articles put in the delivery cabinet in advance, and the pickup code is sent to the user, so that the effect of taking the articles immediately in a minute level after the user places an order is realized, and the pickup time of the user is shortened.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for distributing cargo according to a first embodiment of the present invention;
FIG. 2 is a flow chart of a cargo allocation method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a cargo allocation device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a server according to a fourth embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the embodiments of the invention and are not limiting of the invention. It should be further noted that, for convenience of description, only some, but not all of the structures related to the embodiments of the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a cargo allocation method according to an embodiment of the present invention. The embodiment is suitable for the situation that the user takes goods after ordering on the online shopping platform, and the method can be executed by the goods distributing device. As shown in fig. 1, the method may include:
and step 101, responding to a user ordering request, and determining a target delivery cabinet machine storing the articles related to the user order information according to the information of the articles put in advance in the delivery cabinet machine and the user order information.
The information of the articles put in advance in the delivery cabinet represents the types of the articles and the quantity of the articles left in the delivery cabinet, the articles put in advance in the delivery cabinet can be promoted or moved by various shopping websites, or the articles with larger purchase probability of the users in the area where the delivery cabinet is located. The user order information is generated after the user sends an order request, and may include personal information of the user and order item information, such as user name information, user address information, user contact information, order item category information, order item quantity information, and the like.
Specifically, after the user places an order, the store associated with the placed item does not need to pick up or deliver the item, but the background server determines whether the item placed in advance in the delivery cabinet meets the order information of the user or not based on the order information of the user, and if so, the delivery cabinet is determined to be the target delivery cabinet storing the item associated with the order information of the user. The quick response to the user ordering request is realized, so that the user can immediately pick up goods from the target delivery cabinet after ordering, excessive waiting of the user is avoided, and the online shopping efficiency is improved. If no matched delivery cabinet is detected, the delivery cabinet can be delivered to the user according to a normal online shopping delivery flow.
Optionally, step 201 includes:
A. and determining the delivery cabinet machine meeting the preset distance condition as the candidate delivery cabinet machine according to the distance between the user address information and each delivery cabinet machine in the user order information.
Specifically, a plurality of delivery cabinets are usually set up near the user address information, and the distances between each delivery cabinet and the user address information are different, so that in order to shorten the time for picking up goods by the user as much as possible, the delivery cabinet whose distance from the user address information meets the preset distance condition is used as a candidate delivery cabinet.
B. And determining the target delivery cabinet machine from the candidate delivery cabinet machines according to the order article type information and the order article quantity information which are related to the user order information and the information of articles put in each delivery cabinet machine in advance.
Specifically, the types of articles and the quantity of articles which are put in advance in the delivery cabinet machine can be reduced along with the completion of the pickup of each user, so that in order to ensure that the user just ordered can pick up the articles according to the order information, the candidate delivery cabinet machine with the information of the articles put in advance meeting the order article type information and the order article quantity information is taken as the target delivery cabinet machine.
According to the information of articles put in advance in the delivery cabinet and the order information of the user, the target delivery cabinet is determined, the target delivery cabinet meeting the conditions is rapidly determined, and a foundation is laid for the subsequent user to pick up the articles in the target delivery cabinet.
Step 102, sending a goods taking code of the target delivery cabinet to the user, so that the user can take out the user order information related articles from the target delivery cabinet by adopting the goods taking code.
Specifically, according to the user contact information in the user order information, a goods taking code is sent to the user, and the position information of the target delivery cabinet is also sent, so that the user can take out the goods related to the user order information from the target delivery cabinet according to the goods taking code.
According to the technical scheme provided by the embodiment of the invention, the target delivery cabinet is determined according to the order information of the user and the information of the articles put in the delivery cabinet in advance, and the goods taking code is sent to the user, so that the effect of taking goods immediately in a minute level after the user places an order is realized, and the goods taking time of the user is shortened.
On the basis of the above embodiment, before step 101, the method further includes:
A. determining the target object delivery type and the target object delivery quantity of the target delivery cabinet according to the history object delivery type and the history object delivery quantity of the target delivery cabinet
Specifically, the server records the delivery types and the delivery quantity of the articles and the delivery cabinet machine which is finally delivered to each time of article delivery, so that the server can acquire the historical article delivery types and the historical article delivery quantity corresponding to the target delivery cabinet machine.
Optionally, step a includes:
and estimating the throwing demand according to the historical article delivery types and the historical article delivery quantity of the target delivery cabinet machine so as to determine the target article delivery types and the target article delivery quantity of the target delivery cabinet machine.
Specifically, data analysis is performed according to the historical article delivery types and the historical article delivery quantity in the previous time period, and delivery demand prediction is performed through a qualitative market prediction method, so that the target article delivery types and the target article delivery quantity in the current time period are determined.
B. And generating article throwing information according to the target article delivery types and the target article delivery quantity of the target delivery cabinet machine, so that the delivery personnel throw the articles to the target delivery cabinet machine according to the article throwing information.
The article delivery information not only comprises the delivery type and the delivery quantity of the target articles of the target delivery cabinet, but also comprises the address of the target delivery cabinet and target article identification information, wherein the target article identification information is used for tracking and recording the transportation information of the target articles, and the optional target article identification information comprises a target article two-dimensional code.
Illustratively, the delivery personnel delivers the target item according to the target delivery cabinet address, the target item delivery type, and the target item delivery quantity, and scans the target item two-dimensional code at each transit point to record that the target item has reached the transit point.
The step A and the step B are arranged before the step 101, so that the pre-delivery of delivery articles in the delivery cabinet is realized, and a foundation is laid for the direct pick-up of the delivery articles in the target delivery cabinet after the subsequent user orders.
Example two
Fig. 2 is a flowchart of a cargo allocation method according to a second embodiment of the present invention. The embodiment provides a specific implementation manner for the above embodiment. As shown in fig. 2, the method may include:
step 201, responding to a user order request, and determining delivery cabinet machines meeting a preset distance condition as candidate delivery cabinet machines according to the distance between the user address information and each delivery cabinet machine in the user order information.
Specifically, the delivery cabinet in a circular area with the user address information as the center and the preset distance as the radius is taken as the candidate delivery cabinet.
For example, a delivery cabinet a, a delivery cabinet B, a delivery cabinet C, and a delivery cabinet D are set near the user address information, and the distances between the delivery cabinet a, the delivery cabinet B, the delivery cabinet C, and the delivery cabinet D and the user address information are 200 meters, 250 meters, 300 meters, and 550 meters, respectively, and if the preset distance condition is that the preset distance is 500 meters from the user address information, the delivery cabinet a, the delivery cabinet B, and the delivery cabinet C are determined to be candidate delivery cabinets.
The delivery cabinet machine meeting the preset distance condition is used as the candidate delivery cabinet machine, so that the user is ensured to take goods for a short time.
Step 202, determining order item category information and order item quantity information according to the user order information.
For example, if the user purchases 5 toothbrushes and 2 toothpastes on the shopping platform, the order item category information in the user order information includes toothbrushes and toothpastes, and the order item quantity information includes 5 toothbrushes and 2 toothpastes, respectively.
And 203, matching the order item type information and the order item quantity information with the information of the articles put in advance by the candidate delivery cabinet machine.
Specifically, matching the order item type information and the order item quantity information with the information of the pre-delivered items of the candidate delivery cabinet closest to the user address information, wherein the matching process comprises the following steps: if the types of the residual delivery articles of the pre-delivered articles comprise the types of the order articles and the quantity of the residual delivery articles is larger than or equal to the quantity of the order articles, determining that the information of the pre-delivered articles in the candidate delivery cabinet closest to the user address information meets the types of the order articles and the quantity of the order articles.
And if the information of the pre-delivered items in the candidate delivery cabinet closest to the user address information does not meet the order item type information and the order item quantity information, matching the order item type information and the order item quantity information with the information of the pre-delivered items in the rest candidate delivery cabinets respectively according to the sequence that the distance between the candidate delivery cabinet and the user address information is from the near to the far, until the information of the pre-delivered items meets the order item type information and the order item quantity information.
Optionally, after step 203, the method further includes:
if the order item type information and the order item quantity information do not meet the matching requirement with the information of the articles put in advance by the candidate delivery cabinet, accumulating the history unmatched times of the candidate delivery cabinet; if the current number of times of non-allocation reaches a preset replenishment number threshold, article replenishment information is generated, so that the delivery personnel can carry out article replenishment on the candidate delivery cabinet according to the article replenishment information.
The article replenishment information comprises candidate delivery cabinet address information, article replenishment type information and article replenishment quantity information.
For example, assuming that the preset replenishment number threshold is 3 times, if the order item type information and the order item quantity information do not meet the matching requirement with the information of the candidate delivery cabinet a for which the items are put in advance, the history unmatched times of the candidate delivery cabinet a are 2 times, and then accumulated to 3 times, and the preset replenishment number threshold is reached, item replenishment information is generated, so that the delivery personnel can carry out item replenishment on the candidate delivery cabinet a according to the item replenishment information.
And 204, determining candidate delivery cabinet machines with the information of the pre-delivered articles meeting the order article type information and the order article quantity information as target delivery cabinet machines.
The candidate delivery cabinet machines meeting the order article type information and the order article quantity information are determined to be target delivery cabinets, so that a foundation is laid for a user to pick up goods at the target delivery cabinets according to the order information.
Step 205, a pick-up code of the target delivery cabinet is sent to the user, so that the user can take out the user order information related articles from the target delivery cabinet by using the pick-up code.
Specifically, the user inputs a goods taking code into the target delivery cabinet, and after the target delivery cabinet is identified correctly, the cabinet door corresponding to the grid is opened, so that the user can take out the user order information related articles from the target delivery cabinet.
In order to avoid malicious goods taking actions of a user, improve reliability of the goods taking process, a high-definition camera is optionally installed in each window of a delivery cabinet, the goods taking process of the user is monitored in real time by combining a target detection algorithm, when the fact that the type of the goods taken by the user and the quantity of the goods are not consistent with the order goods type information and the order goods quantity information is detected, user warning information is generated to warn the user that the current goods taking actions belong to the malicious goods taking actions, and prompt information is sent to related staff to enable the related staff to take countermeasures according to the current situation.
According to the technical scheme provided by the embodiment of the invention, the candidate delivery cabinet is determined according to the address information of the user and the distance between the delivery cabinets, and the candidate delivery cabinet with the information of the pre-delivered articles meeting the order article type information and the order article quantity information is determined as the target delivery cabinet, so that the user finishes the picking process, the effect that the user can pick up goods immediately in a minute level after ordering is realized, and the picking time of the user is shortened.
Example III
Fig. 3 is a schematic structural diagram of a cargo allocation device according to a third embodiment of the present invention, where the cargo allocation device may execute a cargo allocation method according to any embodiment of the present invention, and the cargo allocation device has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 3, the apparatus may include:
the target delivery cabinet determining module 31 is configured to determine, in response to a user's order placing request, a target delivery cabinet storing an item associated with user order information according to information of a pre-placed item in the delivery cabinet and the user order information;
and the goods taking code sending module 32 is used for sending the goods taking code of the target delivery cabinet machine to the user so that the user can take out the user order information related articles from the target delivery cabinet machine by adopting the goods taking code.
On the basis of the above embodiment, the device further comprises an article delivery module 33, in particular for:
determining the target object delivery type and the target object delivery quantity of the target delivery cabinet according to the history object delivery type and the history object delivery quantity of the target delivery cabinet;
and generating article throwing information according to the target article delivery types and the target article delivery quantity of the target delivery cabinet machine, so that the delivery personnel throw articles into the target delivery cabinet machine according to the article throwing information.
On the basis of the above embodiment, the article delivery module 33 is specifically further configured to:
and estimating the throwing demand according to the historical article delivery types and the historical article delivery quantity of the target delivery cabinet machine so as to determine the target article delivery types and the target article delivery quantity of the target delivery cabinet machine.
On the basis of the embodiment, the article delivery information further comprises a target delivery cabinet address and target article identification information.
On the basis of the above embodiment, the target delivery cabinet determining module 31 is specifically configured to:
determining delivery cabinet machines meeting the preset distance condition as candidate delivery cabinet machines according to the distance between the user address information and each delivery cabinet machine in the user order information;
and determining a target delivery cabinet machine from the candidate delivery cabinet machines according to the order article type information and the order article quantity information related to the user order information and the information of articles put in each delivery cabinet machine in advance.
On the basis of the above embodiment, the target delivery cabinet determining module 31 is specifically further configured to:
determining order item category information and order item quantity information according to the user order information;
matching the order item type information and the order item quantity information with the information of the articles put in advance by the candidate delivery cabinet machine respectively;
and determining the candidate delivery cabinet machines with the information of the pre-delivered articles meeting the order article type information and the order article quantity information as target delivery cabinet machines.
On the basis of the above embodiment, the device further comprises an article restocking module 34, in particular for:
if the order item type information and the order item quantity information do not meet the matching requirement with the information of the articles put in advance by the candidate delivery cabinet, accumulating the history unmatched times of the candidate delivery cabinet;
and if the current number of times of mismatch reaches a preset replenishment number threshold, generating article replenishment information so that the delivery personnel carry out article replenishment on the candidate delivery cabinet according to the article replenishment information.
The cargo allocation device provided by the embodiment of the invention can execute the cargo allocation method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be referred to a cargo allocation method provided in any embodiment of the present invention.
Example IV
Fig. 4 is a schematic structural diagram of a server according to a fourth embodiment of the present invention. Fig. 4 illustrates a block diagram of an exemplary server 400 suitable for use in implementing embodiments of the present invention. The server 400 shown in fig. 4 is only an example, and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.
As shown in fig. 4, the server 400 is in the form of a general purpose computing server. The components of server 400 may include, but are not limited to: one or more processors or processing units 401, a system memory 402, a bus 403 that connects the various system components (including the system memory 402 and the processing units 401).
Bus 403 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Server 400 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by server 400 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 402 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 404 and/or cache memory 405. The server 400 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 406 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, commonly referred to as a "hard drive"). Although not shown in fig. 4, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 403 through one or more data medium interfaces. Memory 402 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 408 having a set (at least one) of program modules 407 may be stored in, for example, memory 402, such program modules 407 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 407 generally perform the functions and/or methods of the described embodiments of the invention.
The server 400 may also communicate with one or more external servers 409 (e.g., keyboard, pointing server, display 410, etc.), with one or more servers that enable users to interact with the server 400, and/or with any server (e.g., network card, modem, etc.) that enables the server 400 to communicate with one or more other computing servers. Such communication may occur through an input/output (I/O) interface 411. Also, the server 400 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet via a network adapter 412. As shown, network adapter 412 communicates with other modules of server 400 over bus 403. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with server 400, including, but not limited to: microcode, server drives, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 401 executes various functional applications and data processing by running a program stored in the system memory 402, for example, to implement a cargo allocation method provided in an embodiment of the present invention, including:
responding to a user ordering request, and determining a target delivery cabinet machine storing articles related to user order information according to information of articles put in the delivery cabinet machine in advance and the user order information;
and sending a goods taking code of the target delivery cabinet machine to the user, so that the user takes out the user order information related articles from the target delivery cabinet machine by adopting the goods taking code.
Example five
A fifth embodiment of the present invention also provides a computer-readable storage medium, which when executed by a computer processor, is configured to perform a method of dispensing, the method comprising:
responding to a user ordering request, and determining a target delivery cabinet machine storing articles related to user order information according to information of articles put in the delivery cabinet machine in advance and the user order information;
and sending a goods taking code of the target delivery cabinet machine to the user, so that the user takes out the user order information related articles from the target delivery cabinet machine by adopting the goods taking code.
Of course, the storage medium containing computer executable instructions provided in the embodiments of the present invention is not limited to the above-described method operations, and may also perform related operations in a cargo allocation method provided in any of the embodiments of the present invention. The computer-readable storage media of embodiments of the present invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (8)

1. A method of dispensing, comprising:
responding to a user ordering request, and determining a target delivery cabinet machine storing articles related to user order information according to information of articles put in the delivery cabinet machine in advance and the user order information;
sending a goods taking code of the target delivery cabinet to the user so that the user can take out the user order information related articles from the target delivery cabinet by adopting the goods taking code;
the method for determining the target delivery cabinet machine storing the articles related to the user order information according to the information of the articles put in advance in the delivery cabinet machine and the user order information in response to the ordering request of the user comprises the following steps:
determining delivery cabinet machines meeting the preset distance condition as candidate delivery cabinet machines according to the distance between the user address information and each delivery cabinet machine in the user order information;
determining order item category information and order item quantity information according to the user order information;
matching the order item type information and the order item quantity information with the information of the pre-delivered items of the candidate delivery cabinet, and if the types of the residual delivered items of the pre-delivered items contain the order item types and the quantity of the residual delivered items is greater than or equal to the quantity of the order items, determining that the information of the pre-delivered items in the candidate delivery cabinet closest to the user address information meets the order item type information and the order item quantity information; if the information of the articles which are put in advance in the candidate delivery cabinet closest to the user address information does not meet the order article type information and the order article quantity information, the order article type information and the order article quantity information are respectively matched with the information of the articles which are put in advance in the rest candidate delivery cabinets according to the sequence that the distance between the candidate delivery cabinet and the user address information is from the near to the far;
and determining the candidate delivery cabinet machines with the information of the pre-delivered articles meeting the order article type information and the order article quantity information as target delivery cabinet machines.
2. The method of claim 1, further comprising, prior to determining a target delivery cabinet storing items associated with the user order information based on information of pre-delivered items in the delivery cabinet and the user order information in response to a user order request,:
determining the target object delivery type and the target object delivery quantity of the target delivery cabinet according to the history object delivery type and the history object delivery quantity of the target delivery cabinet;
and generating article throwing information according to the target article delivery types and the target article delivery quantity of the target delivery cabinet machine, so that the delivery personnel throw articles into the target delivery cabinet machine according to the article throwing information.
3. The method of claim 2, wherein determining the target delivery category and the target delivery quantity of the target delivery cabinet based on the historical delivery category and the historical delivery quantity of the target delivery cabinet comprises:
and estimating the throwing demand according to the historical article delivery types and the historical article delivery quantity of the target delivery cabinet machine so as to determine the target article delivery types and the target article delivery quantity of the target delivery cabinet machine.
4. The method of claim 2, wherein the item delivery information further comprises a target delivery cabinet address and target item identification information.
5. The method of claim 1, further comprising, after matching the order item category information and the order item quantity information with the information of the candidate delivery cabinet pre-delivered items, respectively:
if the order item type information and the order item quantity information do not meet the matching requirement with the information of the articles put in advance by the candidate delivery cabinet, accumulating the history unmatched times of the candidate delivery cabinet;
and if the current number of times of non-allocation reaches a preset replenishment number threshold, generating article replenishment information so that the delivery personnel carry out article replenishment on the candidate delivery cabinet according to the article replenishment information.
6. A cargo allocation device, comprising:
the target delivery cabinet determining module is used for responding to a user ordering request, and determining the target delivery cabinet storing the articles related to the user order information according to the information of the articles put in the delivery cabinet in advance and the user order information;
the goods taking code sending module is used for sending the goods taking code of the target delivery cabinet machine to the user so that the user can take out the goods related to the user order information from the target delivery cabinet machine by adopting the goods taking code;
the target delivery cabinet machine determining module is specifically configured to:
determining delivery cabinet machines meeting the preset distance condition as candidate delivery cabinet machines according to the distance between the user address information and each delivery cabinet machine in the user order information;
determining order item category information and order item quantity information according to the user order information;
matching the order item type information and the order item quantity information with the information of the pre-delivered items of the candidate delivery cabinet, and if the types of the residual delivered items of the pre-delivered items contain the order item types and the quantity of the residual delivered items is greater than or equal to the quantity of the order items, determining that the information of the pre-delivered items in the candidate delivery cabinet closest to the user address information meets the order item type information and the order item quantity information; if the information of the articles which are put in advance in the candidate delivery cabinet closest to the user address information does not meet the order article type information and the order article quantity information, the order article type information and the order article quantity information are respectively matched with the information of the articles which are put in advance in the rest candidate delivery cabinets according to the sequence that the distance between the candidate delivery cabinet and the user address information is from the near to the far;
and determining the candidate delivery cabinet machines with the information of the pre-delivered articles meeting the order article type information and the order article quantity information as target delivery cabinet machines.
7. A server, the server further comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement a method of dispensing as recited in any one of claims 1-5.
8. A computer readable medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements a method of dispensing as claimed in any one of claims 1-5.
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