CN115098558A

CN115098558A - Flight data statistical method and device

Info

Publication number: CN115098558A
Application number: CN202210718823.2A
Authority: CN
Inventors: 王帅; 何泽洋; 缪海旭; 肖与琦; 任远
Original assignee: China Travelsky Technology Co Ltd
Current assignee: China Travelsky Technology Co Ltd
Priority date: 2022-06-23
Filing date: 2022-06-23
Publication date: 2022-09-23

Abstract

The application discloses a flight data statistical method and device, which are applied to a target system. The target system is independent of the large-scale host system and can receive flight data and passenger booking data of a plurality of flights transmitted by the large-scale host system. The flight data includes flight plan data and flight inventory data. Each flight of the plurality of flights is determined to be a target flight. And correcting the flight inventory data corresponding to the flight plan data of the target flight to obtain flight basic data of the target flight. And dividing the flight basic data and the passenger booking data of the target flight according to the flight sections, and respectively acquiring flight section detailed data and flight section passenger data of each flight section of the target flight. And corresponding the flight section detailed data of each flight section of the adjusted target flight and the flight section passenger data on each flight section. Further, various status data may be counted in the leg passenger data for each leg of the targeted flight. Therefore, the requirement of migrating the large-scale host system to the open platform can be met.

Description

Flight data statistical method and device

Technical Field

The application relates to the technical field of computers, in particular to a flight data statistical method and device.

Background

Airline flight data is typically stored on a large host system, and flight statistics are generated by the large host system, and the generated flight statistics are provided to airlines, airports, and agents within the controlled flight range for subsequent analysis. For example, when the flight statistics are flight sales status statistics, the flight sales status statistics can be used to analyze flight sales trends.

The large host system has high availability, reliability and maintainability, and is widely applied in various fields. However, due to the rapid development of technology, the flight data statistics by using a large host system with a centralized architecture is gradually unable to meet the demand.

Disclosure of Invention

In order to solve the technical problem, the application provides a flight data statistical method which can reduce the dependence on a large host system.

In order to achieve the above purpose, the technical solutions provided in the embodiments of the present application are as follows:

the embodiment of the application provides a flight data statistical method, which is applied to a target system and comprises the following steps:

receiving flight data and passenger booking data of a plurality of flights transmitted by the large-scale host system; the flight data comprises flight planning data and flight inventory data;

correcting flight inventory data of a target flight based on flight plan data of the target flight, and determining the corrected flight inventory data of the target flight as flight basic data of the target flight; the target flight is each of a plurality of flights;

dividing the flight basic data of the target flight according to the flight segments to obtain segment detailed data of each flight segment of the target flight;

dividing the passenger booking data of the target flight according to flight segments, acquiring flight segment passenger data of each flight segment of the target flight, and adjusting the flight segment detailed data of each flight segment of the target flight to correspond to the flight segment passenger data of each flight segment of the target flight on each flight segment;

and counting various state data in the flight segment passenger data of each segment of the target flight.

The embodiment of the present application further provides a flight data statistics device, where the flight data statistics device is applied to a target system, and the flight data statistics device includes:

the data access module is used for receiving flight data of a plurality of flights and passenger booking data transmitted by the large host system; the flight data comprises flight schedule data and flight inventory data;

the basic data acquisition module is used for correcting the flight inventory data of the target flight based on the flight plan data of the target flight and determining the corrected flight inventory data of the target flight as the flight basic data of the target flight; the target flight is each of a plurality of flights;

the detail data acquisition module is used for dividing the flight basic data of the target flight according to the flight segments and acquiring the flight segment detail data of each flight segment of the target flight;

the first integrated data module is used for dividing the passenger booking data of the target flight according to flight segments, acquiring flight segment passenger data of each flight segment of the target flight, and adjusting the flight segment detailed data of each flight segment of the target flight and the flight segment passenger data of each flight segment of the target flight to correspond to each flight segment;

and the second integrated data module is used for counting various state data in the flight segment passenger data of each segment of the target flight.

An embodiment of the present application further provides an electronic device, including:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, cause the one or more processors to implement a flight data statistics method as in any one of the above.

Embodiments of the present application further provide a computer-readable medium, on which a computer program is stored, where the program is executed by a processor to implement the flight data statistics method according to any one of the above items.

According to the technical scheme, the method has the following beneficial effects:

the embodiment of the application provides a flight data statistical method and a flight data statistical device, and the method is applied to a target system. The target system is independent of the large-scale host system and can receive flight data and passenger booking data of a plurality of flights transmitted by the large-scale host system. The flight data includes flight schedule data and flight inventory data. Each flight of the plurality of flights is determined to be a target flight. And correcting the flight inventory data corresponding to the flight plan data of the target flight to obtain flight basic data of the target flight. And further, dividing the flight basic data and the passenger booking data of the target flight according to the flight sections, and respectively acquiring the flight section detailed data and the flight section passenger data of each flight section of the target flight. And corresponding the flight section detailed data of each flight section of the adjusted target flight and the flight section passenger data on each flight section. Further, various status data in the leg passenger data for each leg of the target flight may be counted. Therefore, the flight data is counted by using the target system independent of the large host system, and the requirement of migration of the large host system to the open platform can be met.

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 diagram of an exemplary application scenario provided in an embodiment of the present application;

fig. 2 is a flowchart of a flight data statistics method according to an embodiment of the present application;

fig. 3 is a schematic diagram of another exemplary application scenario provided in an embodiment of the present application;

fig. 4 is a schematic structural diagram of a flight data statistics apparatus according to an embodiment of the present application;

fig. 5 is a schematic view of an electronic device according to 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. In order to facilitate understanding and explaining the technical solutions provided by the embodiments of the present application, the following first describes the background art of the embodiments of the present application.

[ method embodiment ]

Airline flight data is typically stored on a large host system, and flight statistics are generated by the large host system, and the generated flight statistics are provided to airlines, airports, and agents within the controlled flight range for subsequent analysis. For example, where the flight statistics are flight sales status statistics, the flight sales status statistics can be used to analyze flight sales trends.

The large host system has high availability, reliability and maintainability, and is widely applied in various fields. However, due to the rapid development of technology, flight data statistics by using a large host system with a centralized architecture is gradually unable to meet the demand.

Based on the above, the embodiment of the application provides a flight data statistical method, which is applied to a target system. The target system is independent of the large-scale host system and can receive flight data and passenger booking data of a plurality of flights transmitted by the large-scale host system. The flight data includes flight schedule data and flight inventory data. Each flight of the plurality of flights is determined to be a target flight. And correcting the flight inventory data corresponding to the flight plan data of the target flight to obtain flight basic data of the target flight. And further, dividing the flight basic data and the passenger booking data of the target flight according to the flight sections, and respectively acquiring the flight section detailed data and the flight section passenger data of each flight section of the target flight. And corresponding the flight section detailed data of each flight section of the adjusted target flight and the flight section passenger data on each flight section. Further, various status data in the leg passenger data for each leg of the target flight may be counted. Therefore, the flight data is counted by using the target system independent of the large host system, and the requirement of migration of the large host system to the open platform can be met.

In order to facilitate understanding of the flight data statistical method provided in the embodiment of the present application, the following description is made with reference to a scenario example shown in fig. 1. Referring to fig. 1, this figure is a schematic diagram of a framework of an exemplary application scenario provided in an embodiment of the present application.

The flight data statistical method is applied to a target system. The target system is an open system independent of the mainframe system. In the embodiment of the application, the target system is used for counting flight data instead of a large host system. The target system at least comprises a data access module, a basic data acquisition module, a detailed data acquisition module and an integrated data module.

In the embodiment of the application, the large host system transmits flight data of a plurality of flights and passenger booking data to the target system in real time. The flight data includes flight planning data and flight inventory data. And the data access module of the target system receives the flight data of the plurality of flights and the passenger booking data transmitted by the large-scale host system.

For ease of description, each of the plurality of flights is determined to be a target flight. Further, the target flight will be described as an example. After the target system receives the flight data of the target flight and the passenger booking data, the basic data acquisition module corrects the flight inventory data of the target flight based on the flight plan data of the target flight and determines the corrected flight inventory data of the target flight as the flight basic data of the target flight.

Furthermore, the detail data acquisition module divides the flight basic data of the target flight according to the flight segments, and acquires the flight segment detail data of each flight segment of the target flight. The integrated data module comprises a first integrated data module and a second data integration module. The first data integration module divides the passenger booking data of the target flight according to the flight segments and acquires the flight segment passenger data of each flight segment of the target flight. And adjusting the segment detailed data of each segment of the target flight and the segment passenger data of each segment of the target flight to correspond to each other on each segment.

Finally, after the segment passenger data of each segment of the target flight is obtained, the second data integration module counts various state data in the segment passenger data of each segment of the target flight. The type and specific content of the status data are determined according to actual situations, and are not limited herein.

Those skilled in the art will appreciate that the block diagram shown in fig. 1 is only one example in which embodiments of the present application may be implemented. The scope of applicability of the embodiments of the present application is not limited in any way by this framework.

In order to facilitate understanding of the present application, a flight data statistical method provided by the embodiments of the present application is described below with reference to the accompanying drawings.

Referring to fig. 2, the figure is a flowchart of a flight data statistics method according to an embodiment of the present application. As an alternative example, the method may be applied to the target system shown in FIG. 1. As shown in fig. 2, the method may include S201-S205:

s201: receiving flight data and passenger booking data of a plurality of flights transmitted by the large-scale host system; flight data includes flight planning data and flight inventory data.

Since the core transaction systems of different flights remain in the mainframe system, the data of the mainframe system needs to be synchronized in real time in order to keep the data received by the target system consistent with the mainframe data. Based on the flight data, the target system receives flight data of a plurality of flights and passenger booking data transmitted by the large host system in real time.

As an alternative example, flight data for multiple flights and passenger booking data transmitted by a large host system are received by a data access module in a target system. Wherein the plurality of flights may be different flights of the same airline department or different flights of different airline departments. In specific implementation, the data access module of the target system can adopt a TUMS protocol, and sends flight schedule data, flight inventory data and passenger ticket booking data of the large-scale host system to the message middleware in real time in a transparent transmission mode, and marks the three types of data in a message header.

The flight data is data related to specific flights, and comprises flight planning data and flight inventory data. The flight plan data includes some basic information at the time of flight creation, such as: basic data such as a navigation department, a flight number, a flight day and the like. The flight stock data comprises basic data such as a navigation department, a flight number, a flight day and the like. In addition, when operations such as booking and returning of tickets occur on the flight, the flight stock data is changed, so that the flight stock data can reflect the situation of booking the tickets on the flight.

In practice, after a flight plan for a flight is prepared and generated, the mainframe system generates flight plan data and flight inventory data for the flight. For example, flight schedule data is for the xx flight of xx airline department to schedule flight in xx month xx day in xx year. If the seat number of xx flights scheduled to fly by xx airline owners in xx month xx days in xx years is 250 in total, the flight stock is 250 just after the flight scheduling data is generated. As the number of passenger bookings increases, the flight inventory decreases.

The passenger booking data is specific information of booking on a certain flight by a passenger, can visually represent various states of booking of the passenger and the flight, and at least comprises a passenger booking record, a driver, a flight number, a flight day, a flight segment creating step number and the like. The passenger booking record PNR can reflect the voyage of passengers, the number of occupied seats of the passengers, passenger information and the like. The traveler reservation recording is indicated by a reservation record number, which is generally a combination of six digits and letters. The segment creating step number is the sequence number of the scheduled flight ticket of the passenger, and can represent the sequence of the scheduled flight ticket of the passenger. In addition, based on the mapping relation between the flight segment creating step number and the scheduled flight ticket time of the passenger, the specific scheduled flight ticket time of the passenger can be obtained. The passenger booking data may include a passenger scheduled flight ticket time.

It will be appreciated that the flight data and passenger booking data for different flights are different.

Flight data and passenger booking data are used as basic data of subsequent statistical state data, and stability and integrity in the transmission process are important. The data access module is not only used for data transmission of flight data of a plurality of flights and passenger booking data, but also used for data compensation under the condition that the transmitted data is lossy. For example, data compensation may be performed in the form of a data warehouse full volume of data. In this way, the stability and integrity of the data transmission process can be improved.

S202: correcting flight inventory data of the target flight based on flight plan data of the target flight, and determining the corrected flight inventory data of the target flight as flight basic data of the target flight; the destination flight is each of a plurality of flights.

After the data access module of the target system receives flight data and passenger ticket booking data of a plurality of flights, the data access module sends the flight data and the passenger ticket booking data of the flights to the data processing module. In the embodiment of the application, the data processing module at least comprises a basic data acquisition module, a detailed data acquisition module and an integrated data module. The flight data of the flight is distributed to the flight data service for processing, and specifically, the flight data is sent to the basic data acquisition module. The passenger booking data is distributed to the passenger service for processing, and specifically, the passenger booking data is sent to the integrated data module.

As an alternative example, the data processing module uses the JAVA's collection framework JCF, relying on a cluster deployment approach. In this way, not only is sufficient processing performance provided for the data processing module, but usability is also improved.

For ease of description, each of the plurality of flights is determined to be a target flight. Further, the following description will be given taking a target flight as an example, and in practical applications, various kinds of relevant data of a plurality of flights can be acquired.

The flight planning data is planning flight data customized for a certain flight, and the flight inventory data is real data of the flight after the flight planning takes effect. In practice, the flight days in the planned flight data and the flight days in the flight inventory data for the same flight may not be the same for several reasons. Thus, it is necessary to correct the flight inventory data of the target flight. Specifically, after the basic data acquisition module receives the flight data of the target flight, the flight inventory data of the target flight is corrected based on the flight plan data of the target flight, and the corrected flight inventory data of the target flight is used as the flight basic data of the target flight. It will be appreciated that the flight day in the flight plan data for the target flight is the same as the flight day in the modified flight inventory data.

In a possible implementation manner, an embodiment of the present application provides a specific implementation manner that flight inventory data of a target flight is corrected based on flight schedule data of the target flight, and the corrected flight inventory data of the target flight is determined as flight basic data of the target flight, which is specifically referred to below as a1-a 6.

As an optional example, after obtaining the flight basic data of the target flight based on the flight plan data and the flight inventory data of the target flight, the driver, the flight number, and the flight day data in the flight basic data of the target flight are obtained, and the driver, the flight number, and the flight day are used as main keys and are stored in the basic data table in the database. The database is a database independent of the mainframe system. For example, the database is a PostgreSQL enterprise-level database, which is highly stable and powerful and can handle high-concurrency processing.

In addition, as the target system receives flight data and passenger booking data of a plurality of flights transmitted by the large-scale host system in real time, the target system also receives new flight data and passenger booking data transmitted by the large-scale host system along with the advance of time. For the specific process of inserting new flight data into the basic data table, see B1-B4 below.

S203: and dividing the flight basic data of the target flight according to the flight sections to obtain the flight section detailed data of each flight section of the target flight.

After obtaining the flight basic data of the target flight, the flight basic data of the target flight is divided according to the flight segments, and the flight segment detailed data of each flight segment of the target flight is obtained.

For example, when the route of the targeted flight has three or more airports, such as airport A, airport B, and airport C, the route is A-B-C. The route has three sections, namely, a section A-B, a section A-C and a section B-C. Because the three flight segments can be booked by the passengers, in order to ensure that the ticket booking data of the passengers correspond to the flight basic data, the flight basic data is divided into flight segment detailed data.

The range detail data of the target flight and the department, the flight number and the flight day in the flight basic data of the target flight are the same. Compared with the flight basic data of the target flight, the flight segment detailed data of the target flight also comprises a departure airport and an arrival airport. That is, the flight detail data includes at least the driver, flight number, flight day, departure airport, and arrival airport. For example, the flight department, flight number, flight day are the same in legs A-B, A-C, and B-C. However, the departure airport and arrival airport of each flight segment are different.

As an alternative example, this step may be performed by a detail data acquisition module in the target system.

In some embodiments, the leg details data for the target flight further includes first leg flight date data. Since the time span of some flights is relatively long, for example, the route of the target flight is A-B-C, the departure date from the airport A is 2 months and 1 day, and the arrival date at the airport C is 2 months and 2 days, the date data of the first-flight section of the flight is 2 months and 1 day. The date data of the first-flight section corresponding to the flight sections B-C is 2 months and 1 day. Based on this, in order to facilitate the correspondence between the flight data and the traveler data, the first-leg flight date data of each leg is stored in the leg detail data.

As an optional example, after the leg detail data of each leg of the target flight is acquired, the department, the flight number, the flight day, the departure airport, and the arrival airport in the leg detail data are used as the primary keys, and the data such as the flight date data of the first leg is used as the non-primary key content to be stored in the detail data table in the database. Thus, after each flight is executed in accordance with S202 to S203, the detailed data table stores flight data for various airlines, various flight numbers, various flight days, various departure airports, and various arrival airports. For example, the primary key of a data row in the detail data table may be airline department a, flight number aa, day 1 month 2, airport a, airport C. The primary key of another data row in the detail data sheet may be airline department b, flight number bb, day 1 month 2, airport a, airport C.

In addition, as the target system receives flight data and passenger booking data of a plurality of flights transmitted by the large-scale host system in real time, the target system also receives new flight data and passenger booking data transmitted by the large-scale host system along with the advance of time. For the specific process of acquiring new flight segment detail data according to the new flight data, please refer to C1-C3 below.

S204: and dividing the passenger booking data of the target flight according to the flight segments, acquiring the flight segment passenger data of each flight segment of the target flight, and adjusting the flight segment detailed data of each flight segment of the target flight and the flight segment passenger data of each flight segment of the target flight to correspond to each other on each flight segment.

As an alternative example, this step may be performed by an integrated data module in the target system.

Because passengers can book tickets in different flight segments of the flight, the ticket booking data of the passengers of the target flight is divided according to the flight segments so as to correspond to the detailed data of the flight segments, and the flight segment passenger data of each flight segment of the target flight is obtained. For example, when the route of the target flight is A-B-C, if the flight segment for booking the ticket by the passenger is two flight segments of A-B and B-C. The passenger booking data of the passenger is divided into a-B flight segment and a B-C flight segment. If the flight segment for booking the ticket for the passenger is A-C, the data for booking the ticket for the passenger is divided according to the flight segments, and the data for booking the ticket for the passenger in the flight segment is the data for booking the ticket for the passenger in the single flight segment A-C.

After the passenger booking data of the target flight is divided according to the flight segments, the flight segment detailed data of each flight segment of the target flight and the flight segment passenger data of each flight segment of the target flight are adjusted to be corresponding to each flight segment.

In specific implementation, as an optional example, after the flight segment passenger data of each flight segment of the target flight is obtained, in order to distinguish the flight segment passenger data of different passengers, passenger booking records, a driver, a flight number, a flight day, a departure airport, an arrival airport and a flight segment creation step number in the flight segment passenger data are used as main keys and stored in an integrated data table in a database. And in the process of storing the flight segment passenger data of each segment of the target flight in the integrated data table, corresponding the flight segment passenger data of each segment of the target flight in the integrated data table and the segment detail data of each segment of the target flight in the detail data table on each segment. Thus, after each flight is executed according to S202 to S204, the integrated data table stores passenger booking data under various departments, various flight numbers, various flight days, various departure airports, various arrival airports, various passenger booking records, and various flight segment creation step numbers.

It will be appreciated that the passenger booking data will be based on the actual booking details of the passenger. For ease of understanding, three application scenarios are illustrated below. The following three application scenarios are not limited in the embodiment of the application, and the determination can be performed according to the actual situation of the ticket booking data of the passenger.

As a first example, when the route of the target flight is A-B-C, if the passenger makes a reservation and pays in both of the A-B and B-C sections on the target flight, then a passenger reservation record is obtained. At this time, the passenger booking record, the driver, the flight number and the flight segment creating step number in the passenger data of the passenger segment corresponding to the segment A-B and the segment B-C are the same. And if the flight sections A-B and B-C are in the same flight day, the flight days in the passenger data of the corresponding flight sections A-B and B-C are the same.

As a second example, when the route of the target flight is A-B-C, if the passenger makes a reservation and pays on both the A-B leg of the target flight and the B-C leg of another flight, then a passenger reservation record is obtained at this time. At this time, the passenger booking record and the flight segment creation step number in the passenger data of the passenger corresponding to the flight segments a-B and B-C are the same. And flight numbers in the passenger data of the passenger corresponding to the segments a-B and B-C are different. And if the affiliated navigation systems of the two flights are the same, the navigation systems in the passenger data of the passenger corresponding to the sections A-B and B-C are the same. And if the flight sections A-B and B-C are in the same flight day, the flight days in the passenger data of the corresponding flight sections A-B and B-C are the same.

In a third example, when the route of the target flight is A-B-C, if the passenger makes a reservation and pays on the segment A-B of the target flight, after a preset time, the passenger makes a reservation and pays on the segment B-C of the target flight. The passenger reservation record and the creation step number in the passenger data for the passenger's leg corresponding to leg a-B and leg B-C, respectively, are different. In addition, the department and the flight number in the passenger data of the passenger corresponding to the legs A-B and B-C are the same. And if the flight sections A-B and B-C are in the same flight day, the flight days in the passenger data of the corresponding flight sections A-B and B-C are the same. It can be understood that if after the preset time, the passenger orders and pays on the leg B-C of another flight, the flight numbers in the passenger data of the leg corresponding to the respective legs a-B and B-C are different. At this time, whether the departments in the passenger data of the passenger segments corresponding to the segments A-B and B-C are the same or not can be determined according to the actual situation of the flight number.

It can be understood that the take-off airport and the arrival airport in different flight segments in the three application scenarios are determined according to actual situations, and are not described herein again.

In addition, from a temporal perspective, the passenger reservation data includes historical and current reservation data for the relevant passenger. The historical booking data and the current booking data can be divided into segment passenger data of a plurality of segments according to the segments.

As an alternative example, the destination system stores flight base data for the destination flight, segment detail data for each segment of the destination flight, and segment passenger data for each segment of the destination flight independently in a database.

S205: and counting various state data in the flight segment passenger data of each segment of the target flight.

After the segment passenger data of each segment of the target flight is obtained, and the segment detailed data of each segment of the target flight and the segment passenger data of each segment of the target flight are adjusted to correspond to each segment, various state data in the segment passenger data of each segment of the target flight are counted, and the various state data in the segment passenger data are stored in an integrated data table of a database according to the segments.

The status data may include flight status, flight sales status, etc. The flight status includes the start of application for booking, candidate booking, confirmation booking, reconfirmation booking, protection booking, cancellation booking, etc. The flight sales status includes whether to issue a ticket, whether to refund a ticket, whether to wait, etc.

In this case, the detailed data table stores flight data of various airlines, various flight numbers, various flight days, various departure airports and various arrival airports, with the airlines, flight numbers, flight days, departure airports and arrival airports as the main keys. The integrated data table takes the flight department, the flight number, the flight day, the take-off airport, the arrival airport, the passenger booking record and the flight segment establishing step number as the main keys, and stores passenger booking data under various flight departments, various flight numbers, various flight days, various take-off airports, various arrival airports, various passenger booking records and various flight segment establishing step numbers and corresponding various state data.

For example, a data activity in the detail data sheet is xx airline hostess, xx flight number, xx flight day, airport A, airport B. After the flight segment detail data of each flight segment of xx flights in the detail data table and the flight segment passenger data of each flight segment of xx flights in the integrated data table are corresponding to each flight segment, if 5 passengers booking tickets under xx flight numbers, xx flight days, airports A and airports B in the integrated data table exist, each passenger corresponds to the passenger booking record and the flight segment establishing step number respectively. Correspondingly, 5 data lines X1-X5 correspond to the integrated data table, and the flight department, flight number, flight day, departure airport and arrival airport of the 5 data lines X1-X5 are xx flight department, xx flight number, xx flight day, airport A and airport B, and only the passenger booking record and the flight segment creating step number are different.

Referring to table 1, table 1 is an exemplary integrated data table. The top 5 data rows in table 1 are X1, X2, X3, X4, and X5, respectively.

TABLE 1 Integrated data sheet

Further, as shown in table 1, for example, the status data is 3 status statistics such as whether to issue a ticket, whether to return a ticket, whether to wait, and the like. The 5 data rows X1-X5 in the integrated data table all have corresponding status data. For example, each data line is represented by Xi, i being [1,5 ]. The corresponding state Data are Data1i, Data2i and Data3i, wherein Data1i is the first state Data corresponding to Xi, specifically, whether to vote or not. Data2i is the second status Data corresponding to Xi, specifically whether to refund the ticket. Data3i is the third status Data corresponding to Xi, specifically whether waiting. Specific status data is shown in table 3, and each status data corresponding to the traveler in the first data line X1 is "yes, no". That is, Data11 is "yes", Data21 is "no", and Data31 is "no".

It should be noted that the integrated data table shown in table 1 does not list flight statuses, and table 1 is only for illustration and is not limited thereto in practice.

It can be understood that the integrated data table is stored by converting the passenger booking data into the passenger data of each flight segment, and also counts different state data. The passenger ticket booking data is not stored as flight basic data or flight detail data, so that all state data of the same flight segment are counted together, the time required for user query to be summarized is greatly reduced, the user can conveniently acquire corresponding statistical data on the basis of the state data when querying, and the query efficiency is greatly improved. And the status data is not associated with flight data during statistics, and when the status data needs to be modified, only the integrated data module needs to be modified, and the flight data or other modules do not need to be modified.

Based on the contents of the above S201 to S205, the embodiment of the present application provides a flight data statistical method, and the method is applied to a target system. The target system is independent of the large-scale host system and can receive flight data and passenger booking data of a plurality of flights transmitted by the large-scale host system. The flight data includes flight schedule data and flight inventory data. Each flight of the plurality of flights is determined to be a target flight. And correcting flight inventory data corresponding to the flight planning data of the target flight to obtain flight basic data of the target flight. And further, dividing the flight basic data and the passenger booking data of the target flight according to the flight sections, and respectively acquiring the flight section detailed data and the flight section passenger data of each flight section of the target flight. And corresponding the flight section detailed data and the flight section passenger data of each flight section of the adjustment target flight on each flight section. Further, various status data in the leg passenger data for each leg of the target flight may be counted. Therefore, the flight data is counted by using the target system independent of the large host system, and the requirement of migration of the large host system to the open platform can be met.

It should be noted that 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 that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

It should be noted that the names of the messages or information exchanged between the devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of the messages or information.

It should be noted that while 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.

It should be noted that computer program code for carrying out operations of 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).

In a possible implementation manner, an embodiment of the present application provides a specific implementation manner that, in S202, flight inventory data of a target flight is corrected based on flight planning data of the target flight, and the corrected flight inventory data of the target flight is determined as flight basic data of the target flight, including:

a1: the first flight day included in the flight plan data for the target flight and the second flight day included in the flight inventory data for the target flight are obtained.

As an alternative example, when the flight inventory data of the target flight is modified based on the flight plan data of the target flight, the driver in the flight plan data of the target flight is consistent with the driver in the flight inventory data, and the flight number in the flight plan data of the target flight is consistent with the flight number in the flight inventory data. At this time, it is mainly compared whether the flight day in the flight plan data of the target flight is consistent with the flight day in the flight inventory data of the target flight.

The first flight day is used to represent the scheduled flight date range for the target flight. In practical applications, the first flight day is calculated according to the effective date range and frequency of the target flight. For example, the effective date of the target flight ranges from 1 month and 1 day to 3 months and 31 days. The frequency is monday, tuesday and wednesday of each week, and the date specifically corresponding to the first flight day can be specifically determined. In the present embodiment, the first flight day may be represented by Date 1. The basic data table of the database stores flight stock data of the target flight, and all flight days of the target flight in the basic data table of the database are obtained. In the embodiment of the present application, the second flight day may be represented by Date 2. It will be appreciated that Date1 and Date2 are different sets of flight days for the same airline and the same flight number.

A2: when the first target flight day belongs to the first flight day and does not belong to the second flight day, adding flight plan data corresponding to the first target flight day into flight inventory data; the first target flight day is each day in the preset date range.

And determining a reasonable preset date range, wherein the preset date range can be set by referring to the scheduled flight date range of the target flight and is generally larger than or equal to the scheduled flight date range of the target flight. For example, the preset date range is also 1 month, 1 day to 3 months, 31 days, or 12 months, 1 day to 4 months, 15 days.

For convenience of description, each day in the preset date range is described as a first target flight day. In the embodiment of the present application, the first target flight day may be represented by Date.

Based on this, whether a certain flight day of the first flight day and a certain flight day of the second flight day are consistent can be determined through the condition whether the first target flight day belongs to the first flight day and whether the first target flight day belongs to the second flight day.

When Date belongs to Date1 and Date does not belong to Date2, this indicates that the first target flight day already exists in the flight plan data, but is not yet stored in the flight inventory data. Because the flight plan data is generated faster than the flight inventory data, the flight plan data corresponding to the first target flight day is added into the flight inventory data, and the subsequent detailed data acquisition module continues to process the flight plan data. For example, Date is 1 month 15, Date1 includes 1 month 15, and Date2 does not include 1 month 15. The Date1 and Date2 records for the day of 1 month 15 days are inconsistent.

A3: and when the first target flight day does not belong to the first flight day and belongs to the second flight day, deleting the flight inventory data corresponding to the first target flight day from the flight inventory data.

When Date does not belong to Date1 and Date belongs to Date2, it is stated that the first target flight day does not exist in the flight plan data, but exists in the flight inventory data. If the flight schedule data is generated faster than the flight inventory data, the first target flight day may have been deleted from the flight schedule data, but the flight inventory data is not synchronized, and then the flight inventory data corresponding to the first target flight day is deleted from the flight inventory data.

A4: and when the first target flight day belongs to the first flight day and the second flight day, comparing whether the flight plan data of the target flight and the flight inventory data of the target flight are consistent or not, and if the flight plan data of the target flight and the flight inventory data of the target flight are inconsistent, updating the flight inventory data.

When Date belongs to Date1 and Date belongs to Date2, the flight plan data of the target flight is the same as the driver and the flight number in the flight inventory data, and the flight plan data of the target flight and the flight inventory data both include the same flight day Date. In this case, when comparing whether the flight schedule data of the target flight and the flight inventory data of the target flight are consistent, the comparison is mainly made of data other than the airline department, the flight number, and the flight day, such as the airline and the model. If the data are inconsistent, the corresponding flight data in the basic data table are updated, the subsequent detail data acquisition module continues processing, and if the data are consistent, the processing is ended.

A5: when the first target flight day does not belong to the first flight day and does not belong to the second flight day, flight inventory data is not processed.

When Date is not in Date1, Date is not in Date2, this case is not considered, and no processing is done on the flight inventory data.

A6: and determining the corrected flight inventory data of the target flight as flight basic data of the target flight.

The corrected flight inventory data and flight plan data of the target flight correspond to each other and are basically consistent. The flight basis data for the target flight is determined to be flight inventory data, and in this case, the flight basis data is modified flight inventory data.

According to the contents of A1-A6, the flight stock data of the target flight can be corrected based on the flight planning data of the target flight, and the flight basic data of the target flight obtained by the correction is more accurate.

In a possible implementation manner, an embodiment of the present application provides a specific implementation manner of whether to insert new flight data into a basic data table, which specifically includes:

b1: and receiving flight data to be inserted of the flight to be inserted transmitted by the large host system in real time.

The flight data machine to be inserted into the flight is new flight data transmitted by the large-scale host system.

B2: when determining that the flight data of the flight to be inserted is stored in the database according to the driver and the flight number in the flight data to be inserted, judging whether the second target flight day belongs to a third flight day included in the flight data of the flight to be inserted in the database; the second target flight day is each flight day to be inserted into the flight data.

When the flight data of the flight to be inserted is determined to be stored in the database according to the driver and the flight number to be inserted in the flight data, the fact that the database stores some flight data of the same flight and the same flight number is explained. At the moment, whether the flight data to be inserted of the flight to be inserted needs to be stored in the database is directly determined according to the flight days.

In the embodiment of the present application, the third flight day may be represented by Date3, and the second target flight day may be represented by Date'.

B3: and when the second target flight day belongs to the third flight day, comparing whether the flight data to be inserted is consistent with the flight data of the flight to be inserted stored in the database, and if the flight data of the flight to be inserted is not consistent with the flight data of the flight to be inserted stored in the database, updating the flight data of the flight to be inserted stored in the database.

When Date ∈ Date3, it is stated that the third flight day includes the second destination flight day. At this time, whether the flight data to be inserted is consistent with the flight data of the flight to be inserted stored in the database is determined. In specific implementation, the comparison is mainly performed to determine whether the data except the flight number, the driver and the flight number are consistent. If the data are inconsistent, the flight data of the flights to be inserted stored in the database are updated, the subsequent detail data acquisition module continues to process the data, and if the data are consistent, the processing is ended.

B4: and when the second target flight day does not belong to the third flight day, adding the flight data to be inserted into the flight data of the flight to be inserted into the database.

When Date' does not belong to Date3, it indicates that the third flight day does not include the second target flight day. At the moment, adding the flight data to be inserted into the flight data of the flight to be inserted into the database, and continuously processing by the follow-up detailed data acquisition module.

It can be understood that, since the flight data includes flight schedule data and flight inventory data, the flight schedule data and the flight inventory data are processed in a manner of B1-B4, respectively, and are finally added to data corresponding to the database in the specific implementation, which is not described herein again. And then, correcting the updated flight inventory data of the flight to be inserted based on the updated flight plan data of the flight to be inserted, and acquiring the updated flight basic data of the flight to be inserted. And then, transmitting the flight basic data to a detail data acquisition module for continuous processing.

In a possible implementation manner, based on the contents of B1-B4, after B1-B4 is executed, the embodiment of the present application provides a specific implementation manner whether to insert new flight segment detail data into a detail data table, which specifically includes:

c1: and acquiring detailed data of the to-be-inserted segment of each segment of the to-be-inserted flight according to the flight data of the to-be-inserted flight.

After receiving the flight data of the flight to be inserted, dividing the flight data of the flight to be inserted according to the flight segments to obtain detailed data of the flight segments to be inserted of all the flight segments of the flight to be inserted.

C2: when the second target flight day belongs to a fourth flight day, comparing whether the detailed data of the to-be-inserted segment of each segment of the to-be-inserted flight is consistent with the detailed data of each segment of the to-be-inserted flight stored in the database, and if the detailed data of each segment of the to-be-inserted flight is inconsistent, updating the detailed data of each segment of the to-be-inserted flight stored in the database; and the fourth flight day is the flight day included in the segment detail data of each segment of the to-be-inserted flights stored in the database.

In the embodiment of the present application, the fourth flight day is represented by Date 4. And when Date' E Date4, comparing whether the detail data of the segment to be inserted of each segment of the flight to be inserted are consistent with the segment detail data of each segment of the flight to be inserted stored in the database. In specific implementation, the comparison is mainly carried out to determine whether the data except the flight number, the flight driver and the flight number are consistent. And if the data are inconsistent, updating the flight segment detailed data of each flight segment of the to-be-inserted flight stored in the database, and if the data are consistent, ending the processing.

C3: and when the second target flight day does not belong to the fourth flight day, correspondingly adding the detailed data of the to-be-inserted segment of each segment of the to-be-inserted flight to the segment detailed data of each segment of the to-be-inserted flight in the database.

And when Date' does not belong to Date4, correspondingly adding the segment detail data to be inserted of each segment of the flight to be inserted into the segment detail data of each segment of the flight to be inserted in the database. As an optional example, when the segment detail data of each segment of the flight to be inserted in the database is stored in the detail data table, the segment detail data of each segment of the flight to be inserted is correspondingly added to a corresponding position in the detail data table.

It will be appreciated that whether the second targeted flight day belongs to the fourth flight day and whether the second targeted flight day belongs to the third flight day correspond to each other. If the second targeted flight day belongs to the third flight day, the second targeted flight day also belongs to the fourth flight day.

It can also be understood that the processing mode of the new passenger booking data transmitted from the large host system is similar to that of the flight data, and the details are not repeated here.

Referring to fig. 3, fig. 3 is a schematic diagram of another exemplary application scenario provided in the embodiment of the present application. As shown in fig. 3, the target system may further include an operation data module, a query data module, and a user call scenario module. The data processing module comprises an operation data module, a basic data acquisition module, a detailed data acquisition module and an integrated data module.

It can be understood that the data processing module mainly processes the flight planning data, the flight inventory data and the passenger booking data to obtain flight basic data and flight detail data, and divides the flight detail data and the passenger booking data according to the flight segment to obtain flight segment detail data and flight segment passenger data. Various data are stored in a database.

The operation data module is used for receiving flight planning data, flight inventory data and passenger booking data transmitted by the data access module, using the message middleware to receive the three types of data, and distributing the three types of data to different services for subsequent processing according to the message types of the three types of data. The services include flight data services and passenger services. Specifically, through the identifier in the data message header, the data processing module configures different processing service names for different types of data, distributes the corresponding message to the configured service processing, and ensures that the service processes the corresponding data. Therefore, the message middleware can be used for reducing the coupling degree between different modules, can be used as a buffer, and reduces hidden dangers caused by performance difference between the modules.

And the user calls the scene module to interact with the user by matching with other software. The user inputs user information, request data and the like through the user calling module. The user calling scene module responds to the input of the user, and sends the user information and the request data input by the user to the query module for querying.

And the query data module verifies the received user information and the request data, acquires the request data from the database after the verification is successful, acquires statistical data corresponding to the request data according to the acquired request data, and returns the summarized statistical data to the user calling scene module. And the user calls the scene module and outputs the statistical data to the user.

Therefore, based on the target system shown in fig. 3, when a user queries flight status statistical data, the embodiment of the present application provides a specific implementation manner in which the target system responds to the query of the user, obtains user demand data, and returns the user demand data to the user, and the specific implementation manner includes:

d1: in response to the input user data and request data, the user data and request data are verified.

User data may be understood as attributes of the user, such as: the airline hostess to which the user belongs, the user account configuration level and the like, and the request data are key parameters of request state statistical data, for example, the state statistical data are flight sales state statistical data. For example: airline department, flight number, flight day, departure to airport, etc.

As an alternative example, as shown in FIG. 3, this step may be implemented by the user invoking the scenario module and the query data module.

D2: and after the user data and the request data are successfully verified, acquiring the flight segments to be inquired by combining the request data and the flight segment detailed data of each flight segment in each flight.

The request data is primarily used to locate flight data in the detail data sheet. After the user data and the request data are successfully verified, the request data are compared with the flight segment detailed data of each flight segment in each flight segment stored in the detailed data table of the database, and then the flight segment to be inquired requested by the user can be obtained. Therefore, the segment to be inquired, the driver, the flight number, the flight day and the like requested by the user are determined.

As an alternative example, as shown in FIG. 3, this step may be implemented by the query data module. When the user data and the request data are failed to be checked, the failure prompt information can be returned to the user calling scene module through the data inquiry module, and then the user calling scene module outputs the failure prompt information to the user.

D3: and combining various state data in the flight segment passenger data of the flight segment to be inquired and the flight segment to be inquired to obtain various state statistical data corresponding to the flight segment to be inquired.

And acquiring various state statistical data corresponding to the flight segment to be inquired according to various state data in the flight segment to be inquired and the flight segment passenger data of the flight segment to be inquired. The various state statistical data corresponding to the flight segment to be inquired are the state statistical data of all passenger data lines corresponding to the flight segment to be inquired, the driver, the flight number and the flight number after the flight day are determined.

For example, if the leg to be queried of the user is the leg in table 1, the corresponding passenger data behavior is the 5 rows of data in table 1. The statistical data of the state of 'whether to draw a ticket' can be known as the amount of drawing a ticket being 3 and the amount of not drawing a ticket being 2. The statistical data of the state of 'whether to refund' is that the amount of refunding tickets is 2 and the amount of non-refunding tickets is 3. The status statistic of "wait or not" is 5.

As an alternative example, as shown in FIG. 3, this step may be implemented by the query data module.

D4: and outputting various state statistical data corresponding to the flight segment to be inquired.

And outputting various state statistical data corresponding to the to-be-inquired flight segment to the user. As an alternative example, as shown in fig. 3, in this step, the query module may first return various state statistical data corresponding to the to-be-queried flight segment to the user call scenario module, and then the user call scenario module returns various state statistical data corresponding to the to-be-queried flight segment to the user.

In some possible implementation manners, the integrated data module may be omitted, the passenger ticket booking data is stored in the basic data acquisition module or the detailed data acquisition module, and the statistical function is moved to the data query module. When the queried data amount is less, the purpose of querying state statistical data in real time can be achieved.

[ device embodiment ]

Based on the flight data statistical method provided by the above method embodiment, the embodiment of the application also provides a flight data statistical device, and the flight data statistical device will be explained with reference to the accompanying drawings.

Referring to fig. 4, the figure is a schematic structural diagram of a flight data statistics apparatus according to an embodiment of the present application. The device is applied to a target system. As shown in fig. 4, the flight data statistics apparatus includes:

the data access module 401 is configured to receive flight data of multiple flights and passenger booking data transmitted by the large host system; the flight data comprises flight schedule data and flight inventory data;

a basic data obtaining module 402, configured to modify flight inventory data of a target flight based on flight plan data of the target flight, and determine the modified flight inventory data of the target flight as flight basic data of the target flight; the target flight is each of a plurality of flights;

a detail data obtaining module 403, configured to divide the flight basic data of the target flight according to flight segments, and obtain flight segment detail data of each flight segment of the target flight;

a first integrated data module 404, configured to divide the passenger booking data of the target flight according to flight segments, obtain flight segment passenger data of each flight segment of the target flight, and adjust the flight segment detail data of each flight segment of the target flight and the flight segment passenger data of each flight segment of the target flight to correspond to each other on each flight segment;

and a second integrated data module 405, configured to count various status data in the leg passenger data of each leg of the target flight.

In one possible implementation, the apparatus further includes:

the first data query module is used for responding to input user data and request data and verifying the user data and the request data;

the second data query module is used for acquiring the flight segments to be queried by combining the request data and the flight segment detailed data of each flight segment in each flight after the user data and the request data are successfully verified;

the third data query module is used for acquiring various state statistical data corresponding to the to-be-queried segment by combining the to-be-queried segment and various state data in the segment passenger data of the to-be-queried segment;

and the fourth data query module is used for outputting various state statistical data corresponding to the to-be-queried flight segment.

In a possible implementation manner, the basic data obtaining module 402 includes:

the acquisition sub-module is used for acquiring a first flight day included in flight planning data of a target flight and a second flight day included in flight inventory data of the target flight;

the adding sub-module is used for adding flight plan data corresponding to a first target flight day into the flight inventory data when the first target flight day belongs to the first flight day and does not belong to the second flight day; the first target flight day is each day in a preset date range;

a deleting submodule, configured to delete flight inventory data corresponding to a first target flight day from the flight inventory data when the first target flight day does not belong to the first flight day and belongs to the second flight day;

a comparison sub-module, configured to compare whether flight schedule data of the target flight and flight inventory data of the target flight are consistent or not when a first target flight day belongs to the first flight day and belongs to the second flight day, and if not, update the flight inventory data;

the processing sub-module is used for not processing the flight inventory data when a first target flight day does not belong to the first flight day and does not belong to the second flight day;

and the determining submodule is used for determining the corrected flight inventory data of the target flight as flight basic data of the target flight.

In one possible implementation, the apparatus further includes:

and the storage module is used for independently storing the flight basic data of the target flight, the segment detailed data of each segment of the target flight and the segment passenger data of each segment of the target flight in a database.

In one possible implementation, the flight schedule data and the flight inventory data each include a flight department, a flight number, and a flight day, and the apparatus further includes:

the receiving module is used for receiving flight data to be inserted of the flight to be inserted transmitted by the large host system in real time;

the judging module is used for judging whether a second target flight day belongs to a third flight day included in the flight data of the to-be-inserted flight in the database when the flight data of the to-be-inserted flight is determined to be stored in the database according to the driver and the flight number in the to-be-inserted flight data; the second target flight day is each flight day to be inserted into the flight data;

the first comparison module is used for comparing whether the flight data to be inserted are consistent with the flight data of the flight to be inserted stored in the database when the second target flight day belongs to the third flight day, and updating the flight data of the flight to be inserted stored in the database if the flight data of the flight to be inserted are inconsistent;

and the first adding module is used for adding the flight data to be inserted into the flight data of the flight to be inserted into the database when the second target flight day does not belong to the third flight day.

In one possible implementation, the apparatus further includes:

the acquisition module is used for acquiring detailed data of the to-be-inserted flight segment of each flight segment of the to-be-inserted flight according to the flight data of the to-be-inserted flight;

a second comparison module, configured to, when the second target flight day belongs to a fourth flight day, compare whether the detailed data of the to-be-inserted segment of each segment of the to-be-inserted flight is consistent with the detailed data of each segment of the to-be-inserted flight stored in the database, and if not, update the detailed data of each segment of the to-be-inserted flight stored in the database; the fourth flight day is a flight day included in the segment detail data of each segment of the to-be-inserted flights stored in the database;

and a second adding module, configured to correspondingly add, to the database, the to-be-inserted flight segment detail data of each segment of the to-be-inserted flight when the second target flight day does not belong to the fourth flight day.

In one possible implementation, the flight segment detail data includes at least a flight department, a flight number, a flight day, a departure airport, and an arrival airport; the flight segment passenger data at least comprises passenger booking records, a driver, a flight number, a flight day, a departure airport, an arrival airport and a flight segment establishing step number.

[ DEVICE EMBODIMENT ]

An embodiment of the present application further provides an application program vulnerability detection apparatus, including: a processor, a memory, a system bus;

the processor and the memory are connected through the system bus;

the memory is configured to store one or more programs, the one or more programs including instructions, which when executed by the processor, cause the processor to perform the application vulnerability detection method of the foregoing embodiments.

In particular, referring to fig. 5, a schematic diagram of an electronic device 700 suitable for 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 mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. The electronic device shown in fig. 5 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. 5, the electronic device 700 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 701 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage means 707 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the electronic apparatus 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other by a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.

Generally, the following devices may be connected to the I/O interface 705: input devices 704 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 704 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 5 illustrates an electronic device 700 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.

Storage Medium embodiments

The embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are run on a terminal device, the terminal device is enabled to execute the application vulnerability detection method according to the foregoing embodiment.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: and obtaining an android Application Package (APK) file of the application to be detected. And unpacking the APK file to obtain an intermediate code file, a resource file and a configuration file of the APK file. And analyzing the configuration file to obtain the attribute value of the target element contained in the application program to be detected. And performing decompiling on the APK file to obtain a source code of the APK file, and extracting keywords contained in the source code. And matching the target characteristic information with the vulnerability characteristic information, wherein the target characteristic information is any one or more of an intermediate code file, a resource file, an attribute value of a target element contained in the application program to be detected and a keyword contained in the source code. And if the target feature information matched with the vulnerability feature information is detected, determining the target feature information matched with the vulnerability feature information as a vulnerability item existing in the application program to be detected.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

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.

In particular, the processes described above with reference to the flow diagrams may be implemented as computer software programs, according to embodiments of the present disclosure. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 709, or may be installed from the storage means 706, or may be installed from the ROM 702. The computer program, when executed by the processing device 701, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

According to one or more embodiments of the present disclosure, a flight data statistics method is provided, the method being applied to a target system, the method comprising:

and counting various state data in the segment passenger data of each segment of the target flight.

Optionally, the method further comprises:

responding to input user data and request data, and verifying the user data and the request data;

after the user data and the request data are successfully verified, combining the request data and the flight segment detailed data of each flight segment in each flight to obtain a flight segment to be inquired;

combining the to-be-inquired flight segment with various state data in the flight segment passenger data of the to-be-inquired flight segment to obtain various state statistical data corresponding to the to-be-inquired flight segment;

and outputting various state statistical data corresponding to the to-be-inquired flight segment.

Optionally, the modifying the flight inventory data of the target flight based on the flight plan data of the target flight, and determining the modified flight inventory data of the target flight as the flight basic data of the target flight includes:

acquiring a first flight day included in flight planning data of a target flight and a second flight day included in flight inventory data of the target flight;

when a first target flight day belongs to the first flight day and does not belong to the second flight day, adding flight schedule data corresponding to the first target flight day into the flight inventory data; the first target flight day is each day in a preset date range;

when a first target flight day does not belong to the first flight day and belongs to the second flight day, deleting flight inventory data corresponding to the first target flight day from the flight inventory data;

when a first target flight day belongs to the first flight day and the second flight day, comparing whether the flight schedule data of the target flight and the flight inventory data of the target flight are consistent or not, and if not, updating the flight inventory data;

when the first target flight day does not belong to the first flight day and does not belong to the second flight day, the flight inventory data is not processed;

and determining the corrected flight inventory data of the target flight as flight basic data of the target flight.

Optionally, the method further comprises:

and independently storing the flight basic data of the target flight, the segment detailed data of each segment of the target flight and the segment passenger data of each segment of the target flight in a database.

Optionally, the flight plan data and the flight inventory data each include a flight department, a flight number, and a flight day, and the method further includes:

receiving flight data to be inserted of the flight to be inserted transmitted by the large host system in real time;

when determining that the flight data of the flight to be inserted is stored in the database according to the driver and the flight number in the flight data to be inserted, judging whether a second target flight day belongs to a third flight day included in the flight data of the flight to be inserted in the database; the second target flight day is each flight day to be inserted into the flight data;

when the second target flight day belongs to the third flight day, comparing whether the flight data to be inserted is consistent with the flight data of the flight to be inserted stored in the database, and if not, updating the flight data of the flight to be inserted stored in the database;

and when the second target flight day does not belong to the third flight day, adding the flight data to be inserted into the flight data of the flight to be inserted in the database.

Optionally, the method further comprises:

acquiring detailed data of the segment to be inserted of each segment of the flight to be inserted according to the flight data of the flight to be inserted;

when the second target flight day belongs to a fourth flight day, comparing whether the detailed data of the to-be-inserted segment of each segment of the to-be-inserted flight is consistent with the detailed data of each segment of the to-be-inserted flight stored in the database, and if the detailed data of each segment of the to-be-inserted flight is not consistent, updating the detailed data of each segment of the to-be-inserted flight stored in the database; the fourth flight day is a flight day included in the segment detailed data of each segment of the to-be-inserted flight stored in the database;

and when the second target flight day does not belong to the fourth flight day, correspondingly adding the to-be-inserted flight segment detail data of each flight segment of the to-be-inserted flight to the flight segment detail data of each flight segment of the to-be-inserted flight in the database.

Optionally, the leg detail data comprises at least a flight department, a flight number, a flight day, a departure airport, and an arrival airport; the flight segment passenger data at least comprises passenger booking records, a navigation department, a flight number, a flight day, a take-off airport, an arrival airport and a flight segment establishing step number.

In accordance with one or more embodiments of the present disclosure, an apparatus of method embodiments is provided, the apparatus applied to a target system, comprising:

the basic data acquisition module is used for correcting flight inventory data of the target flight based on flight plan data of the target flight and determining the corrected flight inventory data of the target flight as flight basic data of the target flight; the target flight is each of a plurality of flights;

Optionally, the apparatus further comprises:

the second data query module is used for acquiring a flight segment to be queried by combining the request data and flight segment detailed data of each flight segment in each flight after the user data and the request data are successfully verified;

the third data query module is used for acquiring various state statistical data corresponding to the flight segment to be queried by combining the flight segment to be queried and various state data in the flight segment passenger data of the flight segment to be queried;

Optionally, the basic data obtaining module 402 includes:

the adding sub-module is used for adding flight schedule data corresponding to a first target flight day into the flight inventory data when the first target flight day belongs to the first flight day and does not belong to the second flight day; the first target flight day is each day in a preset date range;

and the determining sub-module is used for determining the modified flight inventory data of the target flight as the flight basic data of the target flight.

Optionally, the apparatus further comprises:

Optionally, the flight plan data and the flight inventory data each include a flight department, a flight number, and a flight day, and the apparatus further includes:

the first comparison module is used for comparing whether the flight data to be inserted is consistent with the flight data of the flight to be inserted stored in the database when the second target flight day belongs to the third flight day, and updating the flight data of the flight to be inserted stored in the database if the flight data of the flight to be inserted is inconsistent with the flight data of the flight to be inserted stored in the database;

and a first adding module, configured to add the flight data to be inserted to the flight data of the flight to be inserted in the database when the second target flight day does not belong to the third flight day.

Optionally, the apparatus further comprises:

a second comparison module, configured to, when the second target flight day belongs to a fourth flight day, compare whether the detailed data of the to-be-inserted segment of each segment of the to-be-inserted flight is consistent with the detailed data of each segment of the to-be-inserted flight stored in the database, and if not, update the detailed data of each segment of the to-be-inserted flight stored in the database; the fourth flight day is a flight day included in the segment detailed data of each segment of the to-be-inserted flight stored in the database;

In accordance with one or more embodiments of the present disclosure, an apparatus of method embodiments is provided, one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, cause the one or more processors to implement a flight data statistics method as described in any one of the above.

According to one or more embodiments of the present disclosure, a computer-readable storage medium of method embodiments is provided [ storage medium embodiments ], on which a computer program is stored, wherein the program, when executed by a processor, implements a flight data statistics method as described in any of the above.

It should be noted that the modules described in the embodiments of the present disclosure may be implemented by software or hardware. Wherein the names of the modules do not in some cases constitute a limitation of the unit itself.

It is noted that, as used herein, the term "include" and its variants are intended to be inclusive, 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 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.

It is noted that, 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

1. A flight data statistical method is applied to a target system, and comprises the following steps:

2. The method of claim 1, further comprising:

3. The method of claim 1, wherein the correcting flight inventory data of the target flight based on the flight schedule data of the target flight, and determining the corrected flight inventory data of the target flight as flight base data of the target flight comprises:

acquiring a first flight day included in flight schedule data of a target flight and a second flight day included in flight inventory data of the target flight;

when a first target flight day belongs to the first flight day and the second flight day, comparing whether the flight plan data of the target flight and the flight inventory data of the target flight are consistent or not, and if not, updating the flight inventory data;

when a first target flight day does not belong to the first flight day and does not belong to the second flight day, not processing the flight inventory data;

4. The method of claim 1, further comprising:

5. The method of claim 4, wherein the flight plan data and the flight inventory data each include a flight department, a flight number, and a flight day, the method further comprising:

6. The method of claim 5, further comprising:

acquiring detailed data of the to-be-inserted segment of each segment of the to-be-inserted flight according to the flight data of the to-be-inserted flight;

7. The method of claim 1, wherein the leg detail data includes at least a flight department, a flight number, a flight day, a departure airport, and an arrival airport; the flight segment passenger data at least comprises passenger booking records, a driver, a flight number, a flight day, a departure airport, an arrival airport and a flight segment establishing step number.

8. A flight data statistics device, which is applied to a target system, the device comprising:

9. An electronic device, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

when executed by the one or more processors, cause the one or more processors to implement a flight data statistics method as claimed in any one of claims 1-7.

10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements a flight data statistical method according to any one of claims 1 to 7.