CN113762897A - Information processing method and server based on intelligent logistics - Google Patents
Information processing method and server based on intelligent logistics Download PDFInfo
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- CN113762897A CN113762897A CN202111073081.4A CN202111073081A CN113762897A CN 113762897 A CN113762897 A CN 113762897A CN 202111073081 A CN202111073081 A CN 202111073081A CN 113762897 A CN113762897 A CN 113762897A
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Abstract
The embodiment of the application provides an information processing method and a server based on intelligent logistics, and the information processing method and the server are used for obtaining first order logistics information of a target logistics transportation item in an intelligent logistics park; determining the transportation type of the target logistics transportation item according to the first order logistics information; analyzing the transport content of the target logistics transport item according to the transport content analysis instruction corresponding to the transport type to obtain analysis information; and determining whether the target logistics transportation item is subjected to information updating in real time according to the analysis information, so that the real-time monitoring of the logistics transportation process can be realized, and the safety of the transported product can be further ensured.
Description
Technical Field
The application relates to the technical field of intelligent logistics and information processing, in particular to an information processing method and a server based on the intelligent logistics.
Background
With the development of information technology, smart logistics is deeply liked by users at present, and while smart logistics is continuously developed, some problems also exist, such as: the real-time processing of the information of the target logistics transportation project can not be realized.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides an information processing method and a server based on intelligent logistics.
The application provides an information processing method based on intelligent logistics, which comprises the following steps:
acquiring first order logistics information of a target logistics transportation item in an intelligent logistics park; determining the transportation type of the target logistics transportation item according to the first order logistics information;
analyzing the transport content of the target logistics transport item according to the transport content analysis instruction corresponding to the transport type to obtain analysis information; and determining whether the target logistics transportation item is subjected to information updating in real time according to the analysis information.
Preferably, the determining the transportation type of the target logistics transportation item according to the first order logistics information includes:
comparing the first order logistics information with order logistics information in an information base to obtain comparison information; and determining the transportation type according to the comparison information.
Preferably, the determining the transportation type according to the comparison information includes:
if the comparison information is that second order logistics information corresponding to the first order logistics information exists in the information base, acquiring a transportation record of the second order logistics information;
if the transportation record is short-distance logistics transportation or long-distance logistics transportation, determining that the transportation type is a first transportation type;
and if the transportation record is not short-distance logistics transportation and is not long-distance logistics transportation, determining that the transportation type is a second transportation type.
Preferably, the determining the transportation type according to the comparison information includes:
if the comparison information is that second order logistics information corresponding to the first order logistics information exists in the information base, determining that the transportation type is a first transportation type; and if the comparison information is that second order logistics information corresponding to the first order logistics information does not exist in the information base, determining that the transportation type is a second transportation type.
Preferably, the analyzing the transportation content of the target logistics transportation item according to the transportation content analysis instruction corresponding to the transportation type to obtain analysis information includes:
if the transportation type is the first transportation type, outputting guide information for updating the label acquisition; receiving an updated label input by the target logistics transportation item; and analyzing the transportation content of the target logistics transportation item according to the first order logistics information and the third order logistics information corresponding to the updated label to obtain the analysis information.
Preferably, the method further comprises:
and if the transportation type is a second transportation type, analyzing the transportation content of the target logistics transportation item according to the first order logistics information to obtain the analysis information.
Preferably, the analyzing the transportation content of the target logistics transportation item according to the transportation content analysis instruction corresponding to the transportation type to obtain analysis information includes:
if the transportation type is a first transportation type, analyzing the logistics information of the first order by a preset long-distance logistics transportation processing thread to obtain a logistics information analysis result; and analyzing the transportation content of the target logistics transportation item according to the logistics information analysis result to obtain the analysis information.
Preferably, the analyzing the transportation content of the target logistics transportation item according to the transportation content analysis instruction corresponding to the transportation type to obtain analysis information includes:
if the transportation type is the first transportation type, outputting guide information for updating the label acquisition; receiving an updated label input by the target logistics transportation item;
acquiring first transportation nodes and first transportation process information according to the update labels; acquiring integral logistics description information of the target logistics transportation project;
determining a second transportation node and second transportation process information of the target logistics transportation item according to the integral logistics description information;
and analyzing the transportation content of the target logistics transportation item according to the first transportation node, the first transportation process information, the second transportation node and the second transportation process information to obtain the analysis information.
The application also provides an information processing server, which comprises a memory, a processor and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor reads the computer program from the memory and runs the computer program to realize the method.
The technical scheme provided by the embodiment of the application can have the following beneficial effects.
By acquiring first order logistics information of a target logistics transportation item in the intelligent logistics park, determining the transportation type of the target logistics transportation item according to the first order logistics information, analyzing the transportation content of the target logistics transportation item according to a transportation content analysis instruction corresponding to the transportation type to obtain analysis information, and determining whether the target logistics transportation item is updated in real time according to the analysis information, the transportation content can be analyzed according to the transportation content analysis instruction corresponding to the transportation type of the target logistics transportation item, so that compared with the prior art that the same transportation content analysis instruction is adopted for the target logistics transportation item to analyze the transportation content, the method and the system can improve the integrity during transportation content analysis and further judge that the target logistics transportation item is updated in real time, then can realize the real time monitoring of commodity circulation transportation process, and then can ensure the security of transportation product.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of an information processing method based on smart logistics according to an embodiment of the present application.
Fig. 2 is a schematic diagram of a hardware structure of an information processing server according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Referring to fig. 1, an embodiment of the present application provides a flowchart of an information processing method based on smart logistics, which is applied to an information processing server, and further, the method can be specifically described by following steps 1 and 2.
Step 2, analyzing the transportation content of the target logistics transportation item according to the transportation content analysis instruction corresponding to the transportation type to obtain analysis information; and determining whether the target logistics transportation item is subjected to information updating in real time according to the analysis information.
In a possible implementation manner, the determining a transportation type of the target logistics transportation item according to the first order logistics information may specifically include: comparing the first order logistics information with order logistics information in an information base to obtain comparison information; and determining the transportation type according to the comparison information.
Further, the determining the transportation type according to the comparison information may specifically include: if the comparison information is that second order logistics information corresponding to the first order logistics information exists in the information base, acquiring a transportation record of the second order logistics information; if the transportation record is short-distance logistics transportation or long-distance logistics transportation, determining that the transportation type is a first transportation type; and if the transportation record is not short-distance logistics transportation and is not long-distance logistics transportation, determining that the transportation type is a second transportation type.
Further, the determining the transportation type according to the comparison information may specifically include: if the comparison information is that second order logistics information corresponding to the first order logistics information exists in the information base, determining that the transportation type is a first transportation type; and if the comparison information is that second order logistics information corresponding to the first order logistics information does not exist in the information base, determining that the transportation type is a second transportation type.
In a possible implementation manner, the analyzing, according to the transportation content analysis instruction corresponding to the transportation type, the transportation content of the target logistics transportation item to obtain analysis information may specifically include: if the transportation type is the first transportation type, outputting guide information for updating the label acquisition; receiving an updated label input by the target logistics transportation item; and analyzing the transportation content of the target logistics transportation item according to the first order logistics information and the third order logistics information corresponding to the updated label to obtain the analysis information.
In one possible implementation, the method may further include the following description: and if the transportation type is a second transportation type, analyzing the transportation content of the target logistics transportation item according to the first order logistics information to obtain the analysis information.
In a possible implementation manner, the analyzing the transportation content of the target logistics transportation item according to the transportation content analysis instruction corresponding to the transportation type to obtain analysis information includes: if the transportation type is a first transportation type, analyzing the logistics information of the first order by a preset long-distance logistics transportation processing thread to obtain a logistics information analysis result; and analyzing the transportation content of the target logistics transportation item according to the logistics information analysis result to obtain the analysis information.
In a possible implementation manner, the analyzing the transportation content of the target logistics transportation item according to the transportation content analysis instruction corresponding to the transportation type to obtain analysis information includes: if the transportation type is the first transportation type, outputting guide information for updating the label acquisition; receiving an updated label input by the target logistics transportation item; acquiring first transportation nodes and first transportation process information according to the update labels; acquiring integral logistics description information of the target logistics transportation project; determining a second transportation node and second transportation process information of the target logistics transportation item according to the integral logistics description information; and analyzing the transportation content of the target logistics transportation item according to the first transportation node, the first transportation process information, the second transportation node and the second transportation process information to obtain the analysis information.
By executing the step 1 and the step 2, the transportation type of the target logistics transportation item is determined by obtaining the first order logistics information of the target logistics transportation item in the intelligent logistics garden, the transportation content of the target logistics transportation item is analyzed according to the transportation content analysis indication corresponding to the transportation type to obtain analysis information, and whether the target logistics transportation item is updated in real time is determined according to the analysis information, so that the transportation content can be analyzed according to the transportation content analysis indication corresponding to the transportation type of the target logistics transportation item, and compared with the prior art, the transportation content analysis is performed by adopting the same transportation content analysis indication for the target logistics transportation item, the method can improve the integrity of the transportation content analysis, and further judge that the target logistics transportation item is updated in real time, then can realize the real time monitoring of commodity circulation transportation process, and then can ensure the security of transportation product.
On the basis of the above, the present application further provides an information processing apparatus based on smart logistics, and the apparatus specifically may include the following functional modules:
the order acquisition module is used for acquiring first order logistics information of a target logistics transportation item in the intelligent logistics park; determining the transportation type of the target logistics transportation item according to the first order logistics information;
the home analysis module is used for analyzing the transport content of the target logistics transport item according to the transport content analysis instruction corresponding to the transport type to obtain analysis information; and determining whether the target logistics transportation item is subjected to information updating in real time according to the analysis information.
On the basis, please refer to fig. 2 in combination, the present application further provides a schematic diagram of a hardware structure of the information processing server 20, which specifically includes a memory 21, a processor 22, a network module 23, and an information processing apparatus based on smart logistics. The memory 21, the processor 22 and the network module 23 are electrically connected directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 21 stores therein a food production data processing apparatus including at least one software function module which can be stored in the memory 21 in the form of software or firmware (firmware), and the processor 22 executes the software program and the module stored in the memory 21.
The Memory 21 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 21 is configured to store a program, and the processor 22 executes the program after receiving the execution instruction.
The processor 22 may be an integrated circuit chip having data processing capabilities. The Processor 22 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 23 is used for establishing a communication connection between the information processing server 20 and other communication terminal devices through a network, and implementing transceiving operations of network signals and data. The network signal may include a wireless signal or a wired signal.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It is well known to those skilled in the art that with the development of electronic information technology such as large scale integrated circuit technology and the trend of software hardware, it has been difficult to clearly divide the software and hardware boundaries of a computer system. As any of the operations may be implemented in software or hardware. Execution of any of the instructions may be performed by hardware, as well as by software. Whether a hardware implementation or a software implementation is employed for a certain machine function depends on non-technical factors such as price, speed, reliability, storage capacity, change period, and the like. Accordingly, it will be apparent to those skilled in the art of electronic information technology that a more direct and clear description of one embodiment is provided by describing the various operations within the embodiment. Knowing the operations to be performed, the skilled person can directly design the desired product based on considerations of said non-technical factors.
The present application may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present application.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present application may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions 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 type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement aspects of the present application by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present application are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart 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 application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/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. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.
Claims (9)
1. An information processing method based on intelligent logistics is characterized by comprising the following steps:
acquiring first order logistics information of a target logistics transportation item in an intelligent logistics park; determining the transportation type of the target logistics transportation item according to the first order logistics information;
analyzing the transport content of the target logistics transport item according to the transport content analysis instruction corresponding to the transport type to obtain analysis information; and determining whether the target logistics transportation item is subjected to information updating in real time according to the analysis information.
2. The method of claim 1, wherein the determining the transportation type of the target logistics transportation item according to the first order logistics information comprises:
comparing the first order logistics information with order logistics information in an information base to obtain comparison information; and determining the transportation type according to the comparison information.
3. The method of claim 2, wherein the determining the transportation type according to the comparison information comprises:
if the comparison information is that second order logistics information corresponding to the first order logistics information exists in the information base, acquiring a transportation record of the second order logistics information;
if the transportation record is short-distance logistics transportation or long-distance logistics transportation, determining that the transportation type is a first transportation type;
and if the transportation record is not short-distance logistics transportation and is not long-distance logistics transportation, determining that the transportation type is a second transportation type.
4. The method of claim 2, wherein the determining the transportation type according to the comparison information comprises:
if the comparison information is that second order logistics information corresponding to the first order logistics information exists in the information base, determining that the transportation type is a first transportation type; and if the comparison information is that second order logistics information corresponding to the first order logistics information does not exist in the information base, determining that the transportation type is a second transportation type.
5. The method according to claim 3 or 4, wherein the performing transportation content analysis on the target logistics transportation item according to the transportation content analysis indication corresponding to the transportation type to obtain analysis information comprises:
if the transportation type is the first transportation type, outputting guide information for updating the label acquisition; receiving an updated label input by the target logistics transportation item; and analyzing the transportation content of the target logistics transportation item according to the first order logistics information and the third order logistics information corresponding to the updated label to obtain the analysis information.
6. The method of claim 5, further comprising:
and if the transportation type is a second transportation type, analyzing the transportation content of the target logistics transportation item according to the first order logistics information to obtain the analysis information.
7. The method according to claim 3 or 4, wherein the performing transportation content analysis on the target logistics transportation item according to the transportation content analysis indication corresponding to the transportation type to obtain analysis information comprises:
if the transportation type is a first transportation type, analyzing the logistics information of the first order by a preset long-distance logistics transportation processing thread to obtain a logistics information analysis result; and analyzing the transportation content of the target logistics transportation item according to the logistics information analysis result to obtain the analysis information.
8. The method according to claim 3 or 4, wherein the performing transportation content analysis on the target logistics transportation item according to the transportation content analysis indication corresponding to the transportation type to obtain analysis information comprises:
if the transportation type is the first transportation type, outputting guide information for updating the label acquisition; receiving an updated label input by the target logistics transportation item;
acquiring first transportation nodes and first transportation process information according to the update labels; acquiring integral logistics description information of the target logistics transportation project;
determining a second transportation node and second transportation process information of the target logistics transportation item according to the integral logistics description information;
and analyzing the transportation content of the target logistics transportation item according to the first transportation node, the first transportation process information, the second transportation node and the second transportation process information to obtain the analysis information.
9. An information processing server, comprising a memory, a processor, and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor implements the method of any one of claims 1-8 by reading the computer program from the memory and running it.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111073081.4A CN113762897A (en) | 2021-09-14 | 2021-09-14 | Information processing method and server based on intelligent logistics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111073081.4A CN113762897A (en) | 2021-09-14 | 2021-09-14 | Information processing method and server based on intelligent logistics |
Publications (1)
| Publication Number | Publication Date |
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| CN113762897A true CN113762897A (en) | 2021-12-07 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111073081.4A Withdrawn CN113762897A (en) | 2021-09-14 | 2021-09-14 | Information processing method and server based on intelligent logistics |
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| CN (1) | CN113762897A (en) |
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2021
- 2021-09-14 CN CN202111073081.4A patent/CN113762897A/en not_active Withdrawn
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Application publication date: 20211207 |