CN116862329A

CN116862329A - Method and device for determining distribution site

Info

Publication number: CN116862329A
Application number: CN202210286236.0A
Authority: CN
Inventors: 王海生
Original assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Current assignee: Beijing Jingdong Zhenshi Information Technology Co Ltd
Priority date: 2022-03-23
Filing date: 2022-03-23
Publication date: 2023-10-10

Abstract

The invention discloses a method and a device for determining a distribution site, and relates to the technical field of intelligent logistics. One embodiment of the method comprises the following steps: acquiring a first site and a target distribution condition corresponding to a logistics task; judging whether the distribution condition of the first station is matched with the target distribution condition; and under the condition that the delivery condition of the first station is not matched with the target delivery condition, determining a second station matched with the target delivery condition according to the first station and the target delivery condition, and taking the second station as the delivery station of the logistics task. In this embodiment, when the target delivery condition does not match the delivery condition of the first station, the second station having the delivery condition of the logistics task can be newly determined based on the target delivery condition, thereby completing the delivery work of the logistics task. The embodiment can improve the integrity of goods delivered under different target delivery conditions and improve the specialty of delivery service.

Description

Method and device for determining distribution site

Technical Field

The invention relates to the technical field of intelligent logistics, in particular to a method and a device for determining a distribution site.

Background

In the field of E-commerce logistics, a logistics task can select a site which is closer to a task address according to the task address of the distribution in the distribution process to distribute goods. However, as the types of physical distribution goods rapidly increase, the demands for distribution and the distribution conditions for goods of different service types change.

Because of the difference between the functions of each station and the distribution conditions, special distribution equipment and specially trained distribution personnel may be required for certain special service types, and the distribution stations determined only according to the distribution distance may not meet the distribution requirements of the special service types, and damage to the distributed goods is easy to cause. Therefore, there is a need for a method and apparatus for determining a delivery site that can deliver goods with pertinence to different business types.

Disclosure of Invention

In view of the above, the embodiments of the present invention provide a method and an apparatus for determining a delivery site, which can determine whether a first site can successfully complete delivery of a logistics task based on whether a target delivery condition meets a delivery condition of the first site on the basis of the existing first site, and re-determine a second site having a delivery condition of the logistics task based on the target delivery condition when the delivery condition of the first site does not meet the target delivery condition, thereby completing delivery of the logistics task. The distribution task can be efficiently completed, meanwhile, the integrity of goods distributed under different target distribution conditions can be improved, and the specialty of distribution service is improved.

To achieve the above object, according to one aspect of an embodiment of the present invention, there is provided a method of determining a delivery site.

The method for determining the distribution site comprises the following steps: acquiring a first site and a target distribution condition corresponding to a logistics task; judging whether the distribution condition of the first station meets the target distribution condition or not; and under the condition that the distribution condition of the first station does not meet the target distribution condition, determining a second station which meets the target distribution condition and is matched with the first station according to the first station and the target distribution condition, and taking the second station as the distribution station of the logistics task.

Optionally, in a case where the delivery condition of the first station meets the target delivery condition, the first station is used as a delivery station of the logistics task.

Optionally, the determining, according to the first station and the target delivery condition, a second station that meets the target delivery condition includes: determining an open source rule engine, wherein the open source rule engine indicates target distribution conditions corresponding to a plurality of first sites respectively and the mapping relation between the first sites and the second sites; and taking the first site and the target distribution condition as the input of the open source rule engine, and determining the second site according to the output of the open source rule engine.

Optionally, the determining, according to the first station and the target delivery condition, a second station that meets the target delivery condition includes: determining one or more target mapping relations corresponding to the target distribution conditions from the mapping relations corresponding to the first sites; determining one or more optional sites corresponding to the first site according to one or more target mapping relations; the second site is determined from the one or more alternative sites.

Optionally, for the case that the target mapping relationship is plural, the method further includes: determining the distance between each optional site and the first site; and taking the optional station with the smallest distance as the second station.

Optionally, the determining the second site from the one or more optional sites further includes: acquiring the load rate of each optional site; and taking the optional site with the minimum load rate as the second site.

Optionally, the determining the second site from the one or more optional sites further includes: sending one or more selectable sites to a client to prompt a user to select the second site from the one or more selectable sites; and receiving a selection instruction returned by the client, and taking the optional site indicated by the selection instruction as the second site.

Optionally, the target delivery condition includes any one or more of the following: cold chain delivery, medical delivery, guarantee delivery and cost collection.

To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an apparatus for determining a dispensing station.

The device for determining the distribution site comprises the following components:

the acquisition module is used for acquiring a first site and a target distribution condition corresponding to the logistics task;

the determining module is used for judging whether the distribution condition of the first site meets the target distribution condition or not; and under the condition that the delivery condition of the first station does not meet the target delivery condition, determining a second station meeting the target delivery condition according to the first station and the target delivery condition, and taking the second station as the delivery station of the logistics task.

Optionally, the determining module is further configured to take the first site as a delivery site of the logistics task if the delivery condition of the first site matches the target delivery condition.

Optionally, the determining module is further configured to determine an open source rule engine, where the open source rule engine indicates target delivery conditions corresponding to the plurality of first sites respectively, and a mapping relationship between the first sites and the second sites; and taking the first site and the target distribution condition as the input of the open source rule engine, and determining the second site according to the output of the open source rule engine.

Optionally, the determining module is further configured to determine one or more target mapping relationships corresponding to the target delivery condition from the mapping relationships corresponding to the first site; determining one or more optional sites corresponding to the first site according to one or more target mapping relations; the second site is determined from the one or more alternative sites.

Optionally, the determining module is further configured to determine, for a case that the target mapping relationship is multiple, a distance between each of the optional sites and the first site; and taking the optional station with the smallest distance as the second station.

Optionally, the determining module is further configured to obtain a load rate of each optional site; and taking the optional site with the minimum load rate as the second site.

Optionally, the determining module is further configured to send one or more optional sites to a client, so as to prompt a user to select the second site from one or more optional sites; and receiving a selection instruction returned by the client, and taking the optional site indicated by the selection instruction as the second site.

To achieve the above object, according to still another aspect of the embodiments of the present invention, there is provided an electronic device for determining a delivery site.

The electronic device for determining the distribution site in the embodiment of the invention comprises: one or more processors; and the storage device is used for storing one or more programs, and the one or more programs are executed by the one or more processors, so that the one or more processors realize the method for determining the distribution site according to the embodiment of the invention.

To achieve the above object, according to still another aspect of the embodiments of the present invention, there is provided a computer-readable storage medium.

A computer readable storage medium of an embodiment of the present invention has stored thereon a computer program which when executed by a processor implements a method of determining a distribution site of an embodiment of the present invention.

One embodiment of the above invention has the following advantages or benefits: the method can judge whether the first station can smoothly finish the delivery of the logistics task based on the existing first station according to whether the target delivery condition meets the delivery condition of the first station, and re-determine the second station with the delivery condition of the logistics task according to the target delivery condition under the condition that the delivery condition of the first station does not meet the target delivery condition, thereby finishing the delivery work of the logistics task. The distribution task can be efficiently completed, meanwhile, the integrity of goods distributed under different target distribution conditions can be improved, and the specialty of distribution service is improved.

Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.

Drawings

The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:

FIG. 1 is a schematic diagram of the main steps of a method of determining a delivery site according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of the main steps of determining a second site according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of the main steps of another determination of a second site according to an embodiment of the present invention;

FIG. 4 is a schematic diagram of the primary steps of determining a second site from a plurality of alternative sites, in accordance with an embodiment of the invention;

FIG. 5 is a schematic illustration of the main steps of determining a second site from a plurality of alternative sites according to an embodiment of the invention;

FIG. 6 is a schematic diagram of the main steps of determining a second site from a plurality of alternative sites according to an embodiment of the invention;

FIG. 7 is a schematic diagram of the major modules of the apparatus for determining a dispensing station according to an embodiment of the present invention;

FIG. 8 is an exemplary system architecture diagram in which embodiments of the present invention may be applied;

fig. 9 is a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.

Detailed Description

Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that the embodiments of the present invention and the technical features in the embodiments may be combined with each other without collision.

Fig. 1 is a schematic diagram of the main steps of a method of determining a delivery site according to an embodiment of the present invention.

As shown in fig. 1, the method for determining a delivery site according to an embodiment of the present invention mainly includes the following steps:

step S101: acquiring a first station corresponding to a logistics task and a target distribution condition required by distributing articles in the logistics task;

step S102: judging whether the distribution condition of the first station meets the target distribution condition or not;

step S103: and under the condition that the delivery condition of the first station does not meet the target delivery condition, determining a second station meeting the target delivery condition according to the first station and the target delivery condition, and taking the second station as the delivery station of the logistics task.

Wherein the target delivery condition refers to a delivery condition corresponding to the goods delivered by the logistics task, and in an alternative embodiment, the target delivery condition comprises any one or more of the following: cold chain delivery, medical delivery, guarantee delivery and cost collection. Illustratively, the cold chain delivery delivered goods are frozen products (aquatic products, meat eggs, vegetables and the like which need to be stored at low temperature), the medicine delivery delivered goods are medicaments or medicines, the guarantee delivery delivered goods are guarantee materials (such as daily living goods which are needed in epidemic situation period) delivered in a country in a special period, and the expense collection delivered goods are goods which need to be collected for goods money and the like by a delivery party.

In actual operation, there are typically many types of sites, such as self-contained distribution sites, three-party distribution sites (including campus allied distribution sites, other allied courier sites), township co-distribution sites, and the like. The self-contained delivery site can be understood as a site directly administered or independently operated by a logistics platform for executing logistics tasks, and the three-party delivery site can be understood as a site indirectly administered or not independently operated by the logistics platform for executing logistics tasks.

Because the management parties of different sites are different, corresponding supporting facilities under different site types are also different. For example, a medical incubator and a warehouse for storing the medical incubator are provided in a self-contained distribution site, and thus, a low-temperature condition of the product distributed by medical distribution can be satisfied. And other three-party delivery stations are operated by all allied parties independently, and the low-temperature storage and transportation equipment of all allied stations cannot be guaranteed, so that in an alternative embodiment, the delivery conditions corresponding to the type of the first station are required to meet the target delivery conditions, and the safety of goods in the delivery process can be guaranteed accurately.

After step S102, in an alternative embodiment, step S104 is further included: and taking the first station as a delivery station of the logistics task under the condition that the delivery condition of the first station meets the target delivery condition. At this time, the first site completely meets the distribution requirement of the logistics task, and generally, the first site does not need to be replaced any more, and when the distribution task of the first site is accumulated and distribution cannot be completed on time, the second site can be reconfirmed on the basis of the first site to serve as a distribution site.

For the process of determining the second site in step S103, this may be implemented by an open source rule engine, specifically, in an alternative embodiment, it includes:

step S201: determining an open source rule engine, wherein the open source rule engine indicates target distribution conditions corresponding to a plurality of first sites respectively and the mapping relation between the first sites and the second sites;

step S202: and taking the first site and the target distribution condition as inputs of the open source rule engine, and determining the second site according to the output of the open source rule engine.

The open source rule engine is an inference engine, which matches rules from a rule knowledge base according to the existing facts, processes the rules with conflicts, and executes the rules which are filtered finally. The rule engine is used as a part of the research field of artificial intelligence, and has certain selective judgment, artificial intelligence and rich knowledge. In an alternative embodiment, the invention selects a Drools rule engine as the open source rule engine, takes the first site and the target delivery condition as inputs to the Drools rule engine, and outputs the second site according to the Drools rule engine.

Drools has an open source business rules engine that is easy to access enterprise policies, easy to adjust, and easy to manage, and developers can easily view and write mappings in the open source rules engine. Drools is generally divided into two main parts: compiling and running processes. The compiling process is to analyze the rule description file according to the ANTLR 3 grammar format, check the correctness of the grammar, and then describe the rule by using an abstract grammar tree. At present, drools supports four rule description files, respectively: drl, xls, brl and dsl files, wherein the commonly used description files are drl and xls files, wherein xls files are easier to maintain, more intuitive and easier to understand by developers. The running process is to transfer the abstract syntax tree to a PackageBuilder, and then generate rules by the PackagBuilder. The general form of the rule is: IF condition THEN operates, in an alternative embodiment of the invention, a Drools rule engine based on the rete algorithm is utilized as the open source rule engine. The rete algorithm is an efficient pattern matching algorithm for realizing forward reasoning in the generating system, pattern matching is performed by forming a rete network, and the pattern matching efficiency of the system is improved by utilizing the time redundancy and structural similarity characteristics of the rule-based system.

For the process of determining the second site in step S103, in an alternative embodiment, the following rule may be implemented, as shown in fig. 3, including:

step S301: determining one or more target mapping relations corresponding to target distribution conditions from the mapping relations corresponding to the first sites;

step S302: determining one or more optional sites corresponding to the first site according to the one or more target mapping relations;

step S303: the second site is determined from the one or more alternative sites.

It should be noted that, the mapping relationship may be stored in a mapping relationship table, where the mapping relationship table may include various information such as the first site, the target delivery condition, the optional site, the effective time, the operator, and the operation time, as shown in table 1.

Table 1 mapping table

Sequence number

First site

Target delivery conditions

Optional site

Time of effectiveness

Operator

Time of operation

Editing of

1

Site A

Cold chain delivery

Site C

2022-1-25

Zhang San

10:00

Configuration of

2

Site A

Medical delivery

Site D

2022-1-25

Li Si

11:00

Configuration of

3

Site A

Medical delivery

Site F

2022-1-25

Li Si

11:00

Configuration of

4

Site B

Cold chain delivery

Site E

2022-1-25

Wang Wu

14:00

Configuration of

In the mapping relationship table, the first line to the third line are mapping relationships corresponding to the first site as the site a, when the target delivery condition of the logistics task is the medical delivery condition, it may be determined that the optional sites corresponding to the medical delivery condition have the site D and the site F according to the target delivery condition, and at this time, the second site may be selected from the site D and the site F. When the target delivery condition of the logistics task is the cold chain delivery condition, it can be determined that the optional site corresponding to the cold chain delivery condition only has site C according to the target delivery condition, and then a subsequent screening step is not needed, and the site C is used as a second site.

When the target mapping relationship is multiple, which means that multiple optional sites can be determined, the second site needs to be further determined from the multiple optional sites, so in an optional embodiment, as shown in fig. 4, the specific process of determining the second site includes:

step S401: determining the distance between each optional site and the first site;

step S402: and taking the optional site with the smallest distance as a second site.

The second site may typically be determined from a plurality of alternative sites based on distance, but may be otherwise determined when an alternative site that is a second site fails to complete a new logistics task dispatch due to job saturation. Thus, in an alternative embodiment, as shown in FIG. 5, the specific process of determining the second site includes:

step S501: acquiring the load rate of each optional site;

step S502: and taking the optional site with the minimum load rate as a second site.

The load rate refers to the work saturation of the site, and can be understood as whether the site has enough resources (personnel, transportation equipment and the like) for distribution of logistics tasks. In the practical application process, the second station can be determined according to the distance and the load rate at the same time, and the second station are weighted and summed or scored to obtain the optional station with the highest score as the second station.

In yet another alternative embodiment, for step S103, the second site may be further determined according to a selection of the user, as shown in fig. 6, including:

step S601: transmitting the one or more selectable sites to the client to prompt the user to select a second site from the one or more selectable sites;

step S602: and receiving a selection instruction returned by the client, and taking the optional site indicated by the selection instruction as a second site.

In the case that the load rate of the optional site selected by the user is saturated, a prompt message may be sent to the client to prompt that the selected site cannot complete delivery in time, and the user may re-select the second site, or still select the site and choose to delay delivery time. And after receiving the delayed delivery time returned by the client, feeding back to the delivery person at the second site to prompt the delivery to be completed before the delayed delivery time.

According to the method for determining the delivery site, whether the first site can smoothly complete delivery of the logistics task can be judged according to whether the target delivery condition meets the delivery condition of the first site on the basis of the existing first site, and the second site with the delivery condition of the logistics task is determined again according to the target delivery condition under the condition that the delivery condition of the first site does not meet the target delivery condition, so that delivery work of the logistics task is completed. The distribution task can be efficiently completed, meanwhile, the integrity of goods distributed under different target distribution conditions can be improved, and the specialty of distribution service is improved.

Fig. 7 is a schematic diagram of main modules of a determination device of a distribution station according to an embodiment of the present invention.

As shown in fig. 7, a determining apparatus 700 for a delivery site according to an embodiment of the present invention includes:

an obtaining module 701, configured to obtain a first site and a target distribution condition corresponding to a logistics task;

a determining module 702, configured to determine whether the delivery condition of the first site meets the target delivery condition; and under the condition that the delivery condition of the first station does not meet the target delivery condition, determining a second station meeting the target delivery condition according to the first station and the target delivery condition, and taking the second station as the delivery station of the logistics task.

In an alternative embodiment of the present invention, the determining module 702 is further configured to use the first site as a delivery site of the logistics task if the delivery condition of the first site meets the target delivery condition.

In an optional embodiment of the present invention, the determining module 702 is further configured to determine an open source rule engine, where the open source rule engine indicates target delivery conditions corresponding to a plurality of first sites respectively, and a mapping relationship between the first sites and the second sites; and taking the first site and the target distribution condition as the input of the open source rule engine, and determining the second site according to the output of the open source rule engine.

In an alternative embodiment of the present invention, the determining module 702 is further configured to determine one or more target mappings corresponding to the target distribution condition from the mappings corresponding to the first site; determining one or more optional sites corresponding to the first site according to one or more target mapping relations; the second site is determined from the one or more alternative sites.

In an optional embodiment of the present invention, the determining module 702 is further configured to determine, for a case where the target mapping relationship is multiple, a distance between each of the optional sites and the first site; and taking the optional station with the smallest distance as the second station.

In an optional embodiment of the present invention, the determining module 702 is further configured to obtain a load rate of each of the optional sites; and taking the optional site with the minimum load rate as the second site.

In an alternative embodiment of the present invention, the determining module 702 is further configured to send one or more of the optional sites to a client, so as to prompt a user to select the second site from the one or more optional sites; and receiving a selection instruction returned by the client, and taking the optional site indicated by the selection instruction as the second site.

In an alternative embodiment of the present invention, the target dispensing condition includes any one or more of the following: cold chain delivery, medical delivery, guarantee delivery and cost collection.

According to the device for determining the delivery site, whether the first site can smoothly complete delivery of the logistics task can be judged according to whether the target delivery condition meets the delivery condition of the first site on the basis of the existing first site, and the second site with the delivery condition of the logistics task is determined again according to the target delivery condition under the condition that the delivery condition of the first site does not meet the target delivery condition, so that delivery of the logistics task is completed. The distribution task can be efficiently completed, meanwhile, the integrity of goods distributed under different target distribution conditions can be improved, and the specialty of distribution service is improved.

Fig. 8 illustrates an exemplary system architecture 800 of a delivery site determination method or delivery site determination apparatus to which embodiments of the present invention may be applied.

As shown in fig. 8, a system architecture 800 may include terminal devices 801, 802, 803, a network 804, a server 805, and terminal devices 804, 805, 806. The network 804 serves as a medium for providing communication links between the terminal devices 801, 802, 803 and the server 805, as well as between the server 805 and the terminal devices 804, 805, 806. The network 804 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

A user may interact with the server 805 through the network 804 using the terminal devices 801, 802, 803 or the terminal devices 804, 805, 806 to receive or send messages or the like. Specifically, the owners of the terminal devices 801, 802, 803 are the distribution parties of the logistical goods, and the owners of the terminal devices 804, 805, 806 are the reception parties of the logistical goods. Various communication client applications may be installed on each of the terminal devices 801, 802, 803 and 804, 805, 806, such as shopping class applications, web browser applications, search class applications, instant messaging tools, mailbox clients, social platform software, and the like.

Terminal devices 801, 802, 803 and terminal devices 804, 805, 806 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 805 may be a server providing various services, such as a background management server providing support for selection instructions transmitted by the user using the terminal devices 801, 802, 803. The background management server may analyze and process the received data such as the selection instruction, and feed back the processing result (for example, the optional site indicated by the selection instruction) to the terminal devices 804, 805, 806.

It should be noted that, the method for determining a delivery site according to the embodiment of the present invention is generally performed by the server 805, and accordingly, the device for determining a delivery site is generally disposed in the server 805.

It should be understood that the number of terminal devices, networks and servers in fig. 8 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to FIG. 9, there is illustrated a schematic diagram of a computer system 900 suitable for use in implementing an embodiment of the present invention. The terminal device shown in fig. 9 is only an example, and should not impose any limitation on the functions and the scope of use of the embodiment of the present invention.

As shown in fig. 9, the computer system 900 includes a Central Processing Unit (CPU) 901, which can execute various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 902 or a program loaded from a storage section 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data necessary for the operation of the system 900 are also stored. The CPU 901, ROM 902, and RAM 903 are connected to each other through a bus 904. An input/output (I/O) interface 905 is also connected to the bus 904.

The following components are connected to the I/O interface 905: an input section 906 including a keyboard, a mouse, and the like; an output portion 907 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage portion 908 including a hard disk or the like; and a communication section 909 including a network interface card such as a LAN card, a modem, or the like. The communication section 909 performs communication processing via a network such as the internet. The drive 910 is also connected to the I/O interface 905 as needed. A removable medium 911 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on the drive 910 so that a computer program read out therefrom is installed into the storage section 908 as needed.

In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from the network via the communication portion 909 and/or installed from the removable medium 911. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 901.

The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. 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 of the computer-readable storage medium may include, but are not limited to: 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 the context of 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. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. 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, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The modules involved in the embodiments of the present invention may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: a processor includes an acquisition module and a determination module. The names of these modules do not limit the module itself in some cases, and for example, the acquisition module may also be described as "a module that acquires the first site corresponding to the logistics task and the target distribution condition required for distributing the items in the logistics task".

As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to include:

acquiring a first station corresponding to a logistics task and a target distribution condition required by distributing articles in the logistics task; judging whether the distribution condition of the first station meets the target distribution condition or not; and under the condition that the delivery condition of the first station does not meet the target delivery condition, determining a second station meeting the target delivery condition according to the first station and the target delivery condition, and taking the second station as the delivery station of the logistics task.

According to the technical scheme of the embodiment of the invention, on the basis of the existing first station, whether the first station can smoothly finish the delivery of the logistics task can be judged according to whether the target delivery condition meets the delivery condition of the first station, and the second station with the delivery condition of the logistics task is determined again according to the target delivery condition under the condition that the delivery condition of the first station does not meet the target delivery condition, so that the delivery work of the logistics task is finished. The distribution task can be efficiently completed, meanwhile, the integrity of goods distributed under different target distribution conditions can be improved, and the specialty of distribution service is improved.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. A method of determining a distribution site, comprising:

acquiring a first station corresponding to a logistics task and a target distribution condition required by distributing articles in the logistics task;

judging whether the distribution condition of the first station meets the target distribution condition or not;

and under the condition that the delivery condition of the first station does not meet the target delivery condition, determining a second station meeting the target delivery condition according to the first station and the target delivery condition, and taking the second station as the delivery station of the logistics task.

2. The method as recited in claim 1, further comprising:

and taking the first station as a delivery station of the logistics task under the condition that the delivery condition of the first station meets the target delivery condition.

3. The method of claim 1, wherein said determining a second station that meets said target delivery condition based on said first station and said target delivery condition comprises:

determining an open source rule engine, wherein the open source rule engine indicates target distribution conditions corresponding to a plurality of first sites respectively and the mapping relation between the first sites and the second sites;

and taking the first site and the target distribution condition as the input of the open source rule engine, and determining the second site according to the output of the open source rule engine.

4. The method of claim 1, wherein said determining, based on said first station and said target delivery condition, a second station that meets said target delivery condition match comprises:

determining one or more target mapping relations corresponding to the target distribution conditions from the mapping relations corresponding to the first sites;

determining one or more optional sites corresponding to the first site according to one or more target mapping relations;

the second site is determined from the one or more alternative sites.

5. The method of claim 4, wherein for a case where the target mapping relationship is plural, further comprising:

determining the distance between each optional site and the first site;

and taking the optional station with the smallest distance as the second station.

6. The method of claim 4, wherein said determining said second site from said one or more alternative sites further comprises:

acquiring the load rate of each optional site;

and taking the optional site with the minimum load rate as the second site.

7. The method of claim 4, wherein said determining said second site from said one or more alternative sites further comprises:

sending one or more selectable sites to a client to prompt a user to select the second site from the one or more selectable sites;

and receiving a selection instruction returned by the client, and taking the optional site indicated by the selection instruction as the second site.

8. The method according to any one of claims 1 to 7, wherein,

the target delivery conditions include any one or more of the following: cold chain delivery, medical delivery, guarantee delivery and cost collection.

9. A delivery site determining apparatus, comprising:

the acquisition module is used for acquiring a first station corresponding to the logistics task and target distribution conditions required by the distribution of the articles in the logistics task;

10. An electronic device for determining a delivery site, 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 the method of any of claims 1-8.

11. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-8.