CN111899071A - Order data processing method and device, storage medium and electronic equipment - Google Patents
Order data processing method and device, storage medium and electronic equipment Download PDFInfo
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- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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Abstract
The invention provides an order data processing method, an order data processing device, a storage medium and electronic equipment, wherein the method comprises the following steps: receiving target passenger data pushed by a service platform; judging whether the level information of the passenger corresponding to the target passenger data changes; when the level information of the passenger corresponding to the target passenger data changes, acquiring a non-trip PNR number corresponding to the target frequent passenger data; acquiring passenger travel information corresponding to the non-travel PNR number; acquiring passenger level information of target frequent passenger data after level information changes; updating the passenger level information recorded in the passenger trip information according to the passenger level information; and updating the passenger level information in the travel information recorded in the host according to the modified travel information, so that the timely updating of the passenger data is realized, and the passengers can enjoy the service matched with the level of the passengers when going out.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an order data processing method, an order data processing device, a storage medium and electronic equipment.
Background
Each airline company has a frequent traveler member system, a frequent traveler refers to a traveler who frequently takes a flight of an airline company and participates in mileage accumulation reward, and the airline company provides different traveler services according to member attribute information when the traveler goes out. The frequent flyer card level information when the Passenger goes out is automatically written into the PNR Passenger order according to the attribute information of the Passenger when the Passenger orders, wherein the frequent flyer card refers to an identity card corresponding to the frequent flyer, and when the Passenger has a journey which is not in line, if the frequent flyer card level of the Passenger is changed after the order is generated, the latest frequent flyer card level information of the Passenger cannot be displayed in the Passenger seat Record (PNR for short) which is not in line, and the Passenger cannot enjoy the service of the Passenger who has the frequent flyer card.
Therefore, how to update the latest data information of the passenger in time becomes one of the technical problems that the technical staff in the field needs to solve urgently.
Disclosure of Invention
In view of this, embodiments of the present invention provide an order data processing method, an order data processing apparatus, a storage medium, and an electronic device, so as to implement timely update of passenger data.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
an order data processing method, comprising:
receiving target passenger data pushed by a service platform;
judging whether the level information of the passenger corresponding to the target passenger data changes;
when the level information of the passenger corresponding to the target passenger data changes, acquiring a non-trip PNR number corresponding to the target frequent passenger data;
acquiring passenger travel information corresponding to the non-travel PNR number;
acquiring passenger level information of target frequent passenger data after level information changes;
updating the passenger level information recorded in the passenger trip information according to the passenger level information;
and updating the passenger level information in the travel information recorded in the host according to the modified travel information.
An order data processing apparatus comprising:
a target passenger data acquisition unit for: receiving target passenger data pushed by a service platform;
a level change analysis unit for: judging whether the level information of the passenger corresponding to the target passenger data changes;
an information change processing unit configured to: when the level information of the passenger corresponding to the target passenger data changes, acquiring a non-trip PNR number corresponding to the target frequent passenger data; acquiring passenger travel information corresponding to the non-travel PNR number; acquiring passenger level information of target frequent passenger data after level information changes; updating the passenger level information recorded in the passenger trip information according to the passenger level information; and updating the passenger level information in the travel information recorded in the host according to the modified travel information.
A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of any of the above described order data processing methods.
An electronic device, comprising: a memory and a processor;
the processing device is used for storing a program;
the processor, configured to execute the program, implements the steps of the order data processing method according to any one of claims 1 to 4.
Based on the technical scheme, in the scheme provided by the embodiment of the invention, after the target passenger data pushed by the service platform is obtained, whether the level information of the passenger corresponding to the target passenger data changes is judged, when the level information of the passenger corresponding to the target passenger data changes, acquiring the number of the non-trip PNR corresponding to the target frequent passenger data, acquiring the passenger trip information corresponding to the number of the non-trip PNR based on the number of the non-trip PNR, then updating the passenger level information described in the passenger travel information in the passenger level information based on the changed target frequent traveler data, and updating the passenger level information in the travel information recorded in the host according to the modified travel information, so that the timely updating of the passenger data is realized, and the passengers can enjoy the service matched with the level of the passengers when traveling.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a schematic flowchart of an order data processing method according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an order data processing apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device disclosed in an embodiment of the present application.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
Aiming at the problem that the passenger level information corresponding to frequent passengers cannot be updated in time when the frequent passengers go out in the prior art, the application provides an order data processing method, which comprises the following steps:
step S101: receiving target passenger data pushed by a service platform;
the system for changing the level information in the passenger non-trip order mainly comprises an information change processing module, a frequent traveler storage attribute information database, a frequent traveler storage trip information database and a host computer; the method is applied to the information change processing module, and the order data processing method provided by the embodiment of the application is realized by the information change processing module; in the implementation process of the method, the main actions of the method comprise data receiving, data importing, data analyzing, data inquiring, message assembling, message sending, data updating and data synchronizing.
The step belongs to a data receiving action, and mainly includes receiving target passenger data pushed by a service platform, where the service platform may refer to a platform for processing order services, for example, a civil aviation system, and in this scheme, the information change processing module is connected to the service platform through a wireless network, and receives the target passenger data pushed by the service platform, where the target frequent passenger data includes but is not limited to: the name, the certificate number, the frequent visitor card level, the passenger preference and the like, wherein the specific data type can be set according to the user requirement; after the target passenger data is acquired, a data importing action can be executed, that is, the target passenger data is connected with a frequent traveler attribute information database through an internal network, and the target passenger data is imported into the frequent traveler attribute information database.
Step S102: judging whether the level information of the passenger corresponding to the target passenger data changes;
in this step, the information change processing module extracts frequent traveler card level information in the received target frequent traveler data, wherein the frequent traveler card level information is the level information of the traveler corresponding to the target traveler data, the target frequent traveler card level information is subjected to full-matching comparison, whether the level information of the traveler corresponding to the target traveler data changes is judged in a full-course matching mode, and the frequent traveler information with the changed traveler level information is selected from the level information;
step S103: when the level information of the passenger corresponding to the target passenger data changes, acquiring a non-trip PNR number corresponding to the target frequent passenger data;
in the scheme, the information change processing module is connected with the frequent traveler travel information database through an internal network, inquires the unexplored PNR number of the traveler corresponding to the target traveler data with changed level, and records the unexplored guest booking record in the unexplored PNR number;
step S104: acquiring passenger travel information corresponding to the non-travel PNR number;
after the non-trip PNR number is obtained, obtaining passenger trip information corresponding to the non-trip PNR number, wherein the passenger trip information refers to a complete PNR record corresponding to the PNR number, passenger attribute information is recorded in the passenger trip information, and the passenger attribute information is generated before passenger level information changes;
the passenger travel information is stored in a passenger travel information database, and when the step is executed, the passenger travel information corresponding to the non-travel PNR number corresponding to the target passenger data can be extracted from a preset passenger travel database;
step S105: acquiring passenger level information of target frequent passenger data after level information changes;
step S106: updating the passenger level information recorded in the passenger trip information according to the passenger level information;
step S105 and step S106 correspond to the above-mentioned message assembly action, step S105 and step S106 are mainly used for generating a data update message, and step S105 is used for acquiring passenger level information of target frequent passenger data after level information change; extracting the rest unchanged passenger attribute information in the passenger travel information from the acquired passenger travel information, wherein the unchanged passenger attribute information can refer to other information except the passenger level information and information correlated with the passenger level information, and in step S106, forming modified passenger attribute information according to the passenger level information and the unchanged passenger attribute information, wherein the modified passenger attribute information can be used as the modified passenger travel information and is assembled in a PNR update message in a host format, and the PNR update message in the host format is mainly used for updating host data.
In this step, after generating a PNR update message, the information change processing module is connected to the host through an internal network, and sends the PNR update message to the host;
step S107: updating passenger level information in the travel information recorded in the host according to the modified travel information;
in the scheme, the host has the functions of storing the passenger seat booking record data, modifying the PNR data, storing the passenger non-trip order data, receiving the message and sending the data, and can modify the passenger non-trip order based on the modified trip information.
In this step, after obtaining modified travel information (which may refer to the PNR update message in the above description), the host calls a PNR update service of the host, and the host determines an unextended order based on the PNR update message and updates level information in the unextended order of the passenger stored in the host based on passenger level information in the PNR update message;
specifically, in the taken scheme, after receiving the update PNR message, the host analyzes the update PNR message to obtain the name, the certificate number and other attribute information of the passenger, searches for a matching non-trip order of the passenger according to the name and the certificate number, and updates the non-trip order based on the analysis result of the update PNR message.
In this step, after the level information in the non-travel order in the host is updated, in order to update the data in the passenger travel information database in time, in this scheme, the data in the host and the data in the passenger travel information database may also be synchronized in a data synchronization manner.
According to the technical scheme disclosed by the embodiment of the application, when the target passenger data pushed by the service platform is obtained, whether the level information of the passenger corresponding to the target passenger data changes or not is judged, when the level information of the passenger corresponding to the target passenger data changes, the non-trip PNR number corresponding to the target frequent passenger data is obtained, the passenger trip information corresponding to the non-trip PNR number is obtained based on the non-trip PNR number, then the passenger level information recorded in the passenger trip information is updated based on the changed target frequent passenger data, the passenger level information recorded in the host is updated according to the modified trip information, the timely updating of the passenger data is realized, and the passenger can enjoy the service matched with the level of the passenger when the passenger trips.
In a technical solution disclosed in another embodiment of the present application, the above-mentioned scheme may be a scheme mainly executed for frequent flyers, and frequent flyers do not have passenger level information, so that the scheme need not be executed, and therefore, after receiving target passenger data pushed by a service platform, before determining whether level information of a passenger corresponding to the target passenger data changes, the method may further include:
and extracting the passenger identification in the target passenger data, judging whether the passenger identification belongs to a preset frequent passenger set, and if so, continuing to execute. In the scheme, a frequent traveler set can be established in advance, frequent traveler identifications of all frequent travelers are stored in the frequent traveler set, whether the traveler corresponding to the target traveler data is a frequent traveler can be judged by matching the extracted traveler identification of the target traveler data with the frequent traveler identifications in the frequent traveler set, if so, execution is continued, and if not, the flow is ended.
In the present embodiment, please refer to the content of the above method embodiment, and the following describes the order data processing apparatus provided in the embodiment of the present invention, and the order data processing apparatus described below and the order data processing method described above may be referred to correspondingly.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
Referring to fig. 2, an order data processing apparatus provided in an embodiment of the present application may include:
a target passenger data acquisition unit 100, corresponding to step S101 in the above method, for: receiving target passenger data pushed by a service platform;
a level change analyzing unit 200, corresponding to step S102 in the above method, for: judging whether the level information of the passenger corresponding to the target passenger data changes;
an information change processing unit 300, corresponding to steps S103 to S107 in the above method, for: when the level information of the passenger corresponding to the target passenger data changes, acquiring a non-trip PNR number corresponding to the target frequent passenger data; acquiring passenger travel information corresponding to the non-travel PNR number; acquiring passenger level information of target frequent passenger data after level information changes; updating the passenger level information recorded in the passenger trip information according to the passenger level information; and updating the passenger level information in the travel information recorded in the host according to the modified travel information.
Corresponding to the above method, the level change analysis unit is further configured to, before determining whether the level information of the passenger corresponding to the target passenger data changes:
extracting passenger identification in the target passenger data; and judging whether the passenger identification belongs to a preset frequent passenger set, and if so, continuing to execute.
In accordance with the above method, when the passenger level information described in the passenger travel information is updated according to the passenger level information, the information change processing unit is specifically configured to:
extracting unchanged attribute data in the passenger travel information;
the modified passenger travel information is composed based on the passenger level information of the changed target frequent passenger data and the acquired unchanged passenger attribute data;
and splicing the modified passenger travel information into a PNR updating message in a host format, and taking the PNR updating message as the modified travel information.
Corresponding to the method, when acquiring the passenger travel information corresponding to the non-travel PNR number, the information change processing unit is specifically configured to:
and extracting passenger travel information corresponding to the non-travel PNR number corresponding to the target passenger data from a preset passenger travel database.
The names of messages or information exchanged between devices in the embodiments disclosed herein are for illustrative purposes only and are not intended to limit the scope of the messages or information.
Corresponding to the method, the application also discloses a storage medium, wherein the storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor to execute the steps in the order data processing method.
In particular, the storage medium is specifically configured to perform:
judging whether the level information of the passenger corresponding to the target passenger data changes;
when the level information of the passenger corresponding to the target passenger data changes, acquiring a non-trip PNR number corresponding to the target frequent passenger data;
acquiring passenger travel information corresponding to the non-travel PNR number;
acquiring passenger level information of target frequent passenger data after level information changes;
updating the passenger level information recorded in the passenger trip information according to the passenger level information;
and updating the passenger level information in the travel information recorded in the host according to the modified travel information.
The storage medium performs: after receiving the target passenger data pushed by the service platform, before judging whether the passenger level information corresponding to the target passenger data changes, the method is further configured to:
extracting passenger identification in the target passenger data;
and judging whether the passenger identification belongs to a preset frequent passenger set, and if so, continuing to execute.
The storage medium performs: when the passenger level information recorded in the passenger travel information is updated according to the passenger level information, the method is specifically configured to:
extracting unchanged attribute data in the passenger travel information;
the modified passenger travel information is composed based on the passenger level information of the changed target frequent passenger data and the acquired unchanged passenger attribute data;
and splicing the modified passenger travel information into a PNR updating message in a host format, and taking the PNR updating message as the modified travel information.
Corresponding to the method, when the memory acquires the passenger travel information corresponding to the non-travel PNR number, the memory is specifically configured to:
and extracting passenger travel information corresponding to the non-travel PNR number corresponding to the target passenger data from a preset passenger travel database.
Referring now to FIG. 3, a block diagram of an electronic device 400 suitable for use in implementing embodiments of the present disclosure is shown. The terminal device in the embodiments of the present disclosure may include, but is not limited to, a stationary terminal such as a desktop computer. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 3, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 406 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 406 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
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 disclosure. 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 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.
Although the operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to 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 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).
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination 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 present disclosure, 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 contrast, in the present disclosure, a computer readable signal medium may comprise 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 many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. 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: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
To sum up, the order data processing method and device provided by the application initiate query of all unparallel records of the passenger when the level information corresponding to the target passenger data is changed by analyzing and processing the target passenger data, assemble the new level information of the passenger after obtaining the feedback result, bind the corresponding unparallel records and transmit the changed data of the passenger to the host, and perform the method for updating the passenger data, thereby solving the problem that the passenger cannot enjoy corresponding services due to untimely update of the passenger level information when enjoying the services provided by the navigation department.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
While several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Claims (10)
1. An order data processing method, comprising:
receiving target passenger data pushed by a service platform;
judging whether the level information of the passenger corresponding to the target passenger data changes;
when the level information of the passenger corresponding to the target passenger data changes, acquiring a non-trip PNR number corresponding to the target frequent passenger data;
acquiring passenger travel information corresponding to the non-travel PNR number;
acquiring passenger level information of target frequent passenger data after level information changes;
updating the passenger level information recorded in the passenger trip information according to the passenger level information;
and updating the passenger level information in the travel information recorded in the host according to the modified travel information.
2. The order data processing method according to claim 1, wherein after receiving the target passenger data pushed by the service platform, before determining whether level information of a passenger corresponding to the target passenger data changes, the method further comprises:
extracting passenger identification in the target passenger data;
and judging whether the passenger identification belongs to a preset frequent passenger set, and if so, continuing to execute.
3. The order data processing method according to claim 1, wherein the updating of the passenger level information described in the passenger travel information according to the passenger level information includes:
extracting unchanged attribute data in the passenger travel information;
the modified passenger travel information is composed based on the passenger level information of the changed target frequent passenger data and the acquired unchanged passenger attribute data;
and splicing the modified passenger travel information into a PNR updating message in a host format, and taking the PNR updating message as the modified travel information.
4. The order data processing method according to claim 1, wherein the obtaining of the passenger trip information corresponding to the non-trip PNR number includes:
and extracting passenger travel information corresponding to the non-travel PNR number corresponding to the target passenger data from a preset passenger travel database.
5. An order data processing apparatus, comprising:
a target passenger data acquisition unit for: receiving target passenger data pushed by a service platform;
a level change analysis unit for: judging whether the level information of the passenger corresponding to the target passenger data changes;
an information change processing unit configured to: when the level information of the passenger corresponding to the target passenger data changes, acquiring a non-trip PNR number corresponding to the target frequent passenger data; acquiring passenger travel information corresponding to the non-travel PNR number; acquiring passenger level information of target frequent passenger data after level information changes; updating the passenger level information recorded in the passenger trip information according to the passenger level information; and updating the passenger level information in the travel information recorded in the host according to the modified travel information.
6. The order data processing device according to claim 5, wherein the level change analysis unit is further configured to, before determining whether the level information of the passenger corresponding to the target passenger data has changed:
extracting passenger identification in the target passenger data; and judging whether the passenger identification belongs to a preset frequent passenger set, and if so, continuing to execute.
7. The order data processing device according to claim 5, wherein the information change processing means, when updating the traveler level information described in the traveler travel information based on the traveler level information, is specifically configured to:
extracting unchanged attribute data in the passenger travel information;
the modified passenger travel information is composed based on the passenger level information of the changed target frequent passenger data and the acquired unchanged passenger attribute data;
and splicing the modified passenger travel information into a PNR updating message in a host format, and taking the PNR updating message as the modified travel information.
8. The order data processing device according to claim 5, wherein the information change processing unit, when acquiring the traveler travel information corresponding to the non-travel PNR number, is specifically configured to:
and extracting passenger travel information corresponding to the non-travel PNR number corresponding to the target passenger data from a preset passenger travel database.
9. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the steps of the order data processing method according to any one of claims 1 to 4.
10. An electronic device, comprising: a memory and a processor;
the processing device is used for storing a program;
the processor, configured to execute the program, implements the steps of the order data processing method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010750428.3A CN111899071A (en) | 2020-07-30 | 2020-07-30 | Order data processing method and device, storage medium and electronic equipment |
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| CN113298620A (en) * | 2021-05-31 | 2021-08-24 | 中国民航信息网络股份有限公司 | Frequent traveler information management method and related device |
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