CN113850695A - Big data-based aviation information management platform and method - Google Patents
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Abstract
The invention relates to an aviation information management platform and method based on big data, which comprises the steps of obtaining multi-source aviation information data; carrying out correlation, analysis and processing on the massive multi-source aviation information data through big data and cloud computing technology to form route map information; and judging the user type according to the historical course information of the user, carrying out adaptation analysis on the flight requirement of the user and the course map information according to the user type by the service information interaction module, determining the standard adaptation weight of the flight period of the user according to the adaptation weight in the historical flight period of the user, and pushing corresponding course information to different types of users. The method accurately and reasonably manages and controls the route information, and provides various flight schemes for the user according to the travel requirement of the user.
Description
Technical Field
The invention relates to the field of aviation, in particular to an aviation information management platform and method based on big data.
Background
At present, with the continuous development of civil aviation technology in China, the number of routes for opening operation is rapidly increased, however, in the income management process, decisions are usually made based on the subjective experiences of practitioners, sufficient data support is lacked, intelligent big data analysis cannot be realized, so that competitive analysis excessively depends on the subjective judgment of the decision maker, and the competitive analysis is not accurate and reasonable enough. The planning scheme of the air route is adjusted only according to the profit and loss degree of the air route, the potential value of the user information is not fully mined, the user air route information is not applied to the air route management, the planning scheme of the air route is reasonably adjusted, and the income cannot be maximized.
Disclosure of Invention
The invention aims to solve the technical problem of how to accurately and reasonably manage and control route information and provide various flight schemes for users according to the travel demands of the users.
The technical scheme for solving the technical problems is as follows: a big data-based aviation information management method comprises a data acquisition system, a data analysis processing system, a data terminal system and a route information pushing system; the data acquisition system is used for acquiring multi-source aviation information data; the data analysis processing system is used for correlating, analyzing and processing the multi-source aviation information data through big data and cloud computing to form route map information and constructing a service information interaction module according to the route map information; the data terminal system is used for acquiring user information through the service information interaction module, wherein the user information comprises user flight requirements, user historical airline information and user flight cycles, judging the user type according to the user historical airline information, performing adaptation analysis on the user flight cycles and the airline map information according to the user type and the user flight requirements to obtain adaptation weights of the user historical flight cycles, and determining the current standard adaptation weights according to the adaptation weights in the user historical flight cycles; the airline information pushing system is used for pushing airline information to different types of users according to the user types, the adaptive weight of the user historical flight cycles and the standard adaptive weight of the user flight cycles.
The invention has the beneficial effects that: according to the method, massive multi-source aviation information data are associated, analyzed and processed through a big data and cloud computing technology to form route map information; the data terminal system is used for respectively carrying out visualization processing on the route map information, constructing the service information interaction module and providing an integrated visualization data management and control method, so that a user and a manager can conveniently and accurately master related route information, the service information interaction module carries out adaptation analysis on the flight requirements of the user and the route map information according to the user type and the route information according to the historical route information of the user, classifies the user, and realizes accurate pushing of the route information by analyzing the flight routes, the flight time, the transaction prices and even the weight of the flight purpose in all historical orders of the user aiming at the users of different types, so that the transaction can be better matched, and the potential requirements of the user are mined.
On the basis of the technical scheme, the invention can be further improved as follows.
The data transmission system is used for transmitting the multi-source airline information data obtained by the data acquisition system to the service information interaction module through multiple transmission links under preset standards and protocols for storage and processing.
The beneficial effects of the further scheme are as follows: and after the far route information is stored in the service information interaction module, and then when the user requirement is subjected to adaptation analysis, inquiring and calling related information so as to match the route which is more in line with the travel requirement of the user. And the intelligent pushing of corresponding route information of different types of users is realized.
Further, the user information is obtained through a human-computer interaction interface of the service information interaction module, wherein the human-computer interaction interface comprises a graphical interface, a service client and a network portal facing to internal services and external services.
Further, the data analysis processing system comprises a resource module, a platform module and an application module;
the resource module is used for acquiring software and hardware resources required by information data calculation, storage and management, operating the virtualized resources in a virtual operating system and converting the virtualized resources into virtualized resources through virtualized calculation;
the platform module is used for correlating, analyzing and processing mass aviation data through big data and cloud computing technology to form route map information for a user to use, and constructing a service information interaction module according to the route map information;
the application module is used for calling the virtualized resources of the resource module and the route map information processed by the platform module so as to provide visual information service for the user.
Further, the platform module stores the multi-source aviation information data through distributed storage and calculation to form route map information used by a user, and the service information interaction module is constructed by constructing a cloud server to store the route map information.
Further, the user types comprise a common user and a loyalty user, and corresponding route information is respectively pushed to the common user and the loyalty user; the data terminal system is also used for; the user types comprise common users and loyalty users; accumulating and averaging the user historical flight period adaptation weights of the common user group to obtain the standard adaptation weights of the common user group, comparing the user historical flight period adaptation weights of the common user group with the standard adaptation weights respectively, sequencing all the user historical flight period adaptation weights with the adaptation weights smaller than the standard adaptation weights in an ascending order, selecting quintuple points from the sequenced user historical flight period adaptation weights, summing the quintuple points according to a proportion to obtain quintuple point values, and subtracting the quintuple point values from the standard adaptation weights to obtain compensation adaptation weights.
Further, pushing corresponding route information to the ordinary user specifically includes:
when the user historical flight cycle adaptation weight is lower than the standard adaptation weight, pushing route information with the adaptation weight being the same as the sum of the user historical flight cycle adaptation weight and the compensation adaptation weight for the current common user;
and when the historical flight cycle adaptation weight of the user is higher than or equal to the standard adaptation weight, pushing route information with the adaptation weight being the same as the standard adaptation weight for the current common user.
Further, pushing corresponding airline information to the loyalty user specifically includes:
when the user historical flight cycle adaptation weight is lower than the standard adaptation weight, pushing route information with the adaptation weight being the same as the user historical flight cycle adaptation weight for the current loyalty user;
and when the historical flight cycle adaptation weight of the user is higher than or equal to the standard adaptation weight, pushing route information with the adaptation weight being the same as the standard adaptation weight for the current loyalty user.
Based on the big data-based aviation information management platform, the invention also provides a big data-based aviation information management method, which comprises the following steps,
s1, acquiring multi-source aviation information data;
s2, performing association, analysis and processing on the multi-source aviation information data through big data and cloud computing to form route map information, and constructing a service information interaction module according to the route map information;
s3, obtaining user information through the service information interaction module, wherein the user information comprises user flight requirements, user historical airline information and user flight cycles, judging the user type according to the user historical airline information, performing adaptation analysis on the user flight cycles and the airline map information according to the user type and the user flight requirements to obtain adaptation weights of the user historical flight cycles, and determining the current standard adaptation weights according to the adaptation weights in the user historical flight cycles;
and S4, pushing route information to different types of users according to the user types, the adaptive weight of the historical flight cycles of the users and the standard adaptive weight.
The beneficial effect of above-mentioned scheme is: according to the method, massive multi-source aviation information data are associated, analyzed and processed through a big data and cloud computing technology to form route map information; the data terminal system is used for respectively carrying out visualization processing on the route map information, constructing the service information interaction module and providing an integrated visualization data management and control method, so that a user and a manager can conveniently and accurately master related route information, the service information interaction module carries out adaptation analysis on the flight requirements of the user and the route map information according to the user type and the historical route information of the user and classifies the user, and accurate pushing of the route information is realized by analyzing the weight of the flight routes, the flight time, the transaction price and even the flight purpose in all historical orders of the user aiming at different types of users, so that the transaction can be better matched and the potential requirements of the user are mined.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, before S3, the method further includes the step of transmitting the multi-source airline information data to the service information interaction module for storage and processing through a plurality of transmission links under preset standards and protocols.
Drawings
FIG. 1 is a schematic system structure diagram of a big data-based aviation information management platform according to the present invention;
FIG. 2 is a schematic diagram of a data transmission system according to the present invention;
FIG. 3 is a schematic structural diagram of a data terminal system according to the present invention;
FIG. 4 is a flowchart of a big data-based aviation information management method according to the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
The technical scheme for solving the technical problems is as follows: a big data-based aviation information management method and platform comprises a data acquisition system, a data analysis processing system, a data terminal system and a route information pushing system; the data acquisition system is used for acquiring multi-source aviation information data; the data analysis processing system is used for correlating, analyzing and processing the multi-source aviation information data through big data and cloud computing to form route map information and constructing a service information interaction module according to the route map information; the data terminal system is used for acquiring user information through the service information interaction module, wherein the user information comprises user flight requirements, user historical airline information and user flight cycles, judging the user type according to the user historical airline information, performing adaptation analysis on the user flight cycles and the airline map information according to the user type and the user flight requirements to obtain adaptation weights of the user historical flight cycles, and determining the current standard adaptation weights according to the adaptation weights in the user historical flight cycles; the airline information pushing system is used for pushing airline information to different types of users according to the user types, the adaptive weight of the historical flight cycles of the users and the standard adaptive weight.
According to the method, massive multi-source aviation information data are associated, analyzed and processed through a big data and cloud computing technology to form route map information; the data terminal system is used for respectively carrying out visualization processing on the route map information, constructing the service information interaction module and providing an integrated visualization data management and control method, so that a user and a manager can conveniently and accurately master related route information, the service information interaction module carries out adaptation analysis on the flight requirements of the user and the route map information according to the user type and the historical route information of the user and classifies the user, and accurate pushing of the route information is realized by analyzing the weight of the flight routes, the flight time, the transaction price and even the flight purpose in all historical orders of the user aiming at different types of users, so that the transaction can be better matched and the potential requirements of the user are mined.
In this embodiment, the aviation information management platform further includes a data transmission system, and the data transmission system is configured to transmit the multi-source airline information data obtained by the data acquisition system to the service information interaction module through multiple transmission links under preset standards and protocols for storage and processing. And the communication network in the data transmission system stores and processes the multi-source airline information data obtained by the data acquisition system through the service information interaction module by a plurality of transmission links under communication standards and protocols specified by DO-260B, TCP/I P, UDP and the like. Various transmission links include dedicated communications, public communications, VHF, 1090ES, satellite communications links, and the like. The data transmission system comprises ground-to-air communication, ground communication, air-to-air communication and satellite communication. The current ground-to-air communication means mainly rely on VHF communication, mobile communication, ADS-B communication, and radiotelephone voice communication. The ground-ground communication means include wired and wireless telephones, public communication networks and private communication networks for civil aviation. The communication means comprises mobile communication, public communication network, ADS-B communication and civil aviation private communication network.
The data transmission system mainly comprises various communication networks, comprehensively utilizes the existing wired and wireless communication networks, Beidou short messages and other network resources, supplements and sets an air-ground broadband and a base station blind-filling, sets a comprehensive information center, and improves the convenience, timeliness, effectiveness and reliability of information transmission. After the far airline information is stored in the service information interaction module, and then when the user demand is subjected to adaptation analysis, relevant information is inquired and called so as to match the airline which is more in line with the user travel demand. And the intelligent pushing of corresponding route information of different types of users is realized.
In this embodiment, the data analysis processing system includes a resource module, a data processing module, and an application module, where the resource module is configured to provide software and hardware resources required by information data calculation, storage, and management, run the virtualized resources in a virtual operating system, and convert the virtualized resources into virtualized resources through virtualized calculation; the platform module is used for correlating, analyzing and processing mass aviation data through big data and cloud computing technology to form route map information for a user to use, and constructing a service information interaction module according to the route map information; the application module is used for calling software and hardware resources of the resource module and the airline map information processed by the platform module so as to provide visual information service for the user. The resource module is also used for converting the software and hardware resources into virtualized resources through virtualized calculation, operating in a virtual operating system and storing the software resources and the bottom hardware resources in an isolated manner. The platform module stores, manages, processes and analyzes the multi-source aviation information data through distributed storage and calculation to form route map information used by a user, and builds a cloud server to store the route map information to construct a service information interaction module.
In this embodiment, specifically, the platform module stores massive aviation information data through a distributed storage and computation technology. And judging the user type according to the historical course information of the user, and carrying out adaptive analysis on the flight requirement of the user and the course map information by the service information interaction module according to the user type to provide a proper course selection for the user.
In this embodiment, the user types include a general user and a loyalty user, and the general user and the loyalty user are pushed with corresponding airline information respectively; and the data terminal system is also used for accumulating the user historical flight period adaptation weights of the common user group to obtain an average value, obtaining the standard adaptation weights of the common user group, comparing the user historical flight period adaptation weights of the common user group with the standard adaptation weights respectively, sequencing all the adaptation weights which are smaller than the standard adaptation weights in an ascending manner, selecting five-point positions from the sequenced user historical flight period adaptation weights, summing the five-point positions according to a proportion to obtain a five-point value, and subtracting the five-point position value from the standard adaptation weights to obtain a compensation adaptation weight.
For example, comparing the user historical flight period adaptation weight of all common users with a standard adaptation weight, sorting all the adaptation weights of which the adaptation weights in the historical user flight period are smaller than the standard adaptation weight, summing five-point values selected from the sorted adaptation weights in proportion to obtain five-point values, and subtracting the five-point values from the standard adaptation weight to obtain a compensation adaptation weight; for example, assuming that there are 10 common users, the current standard adaptation weight is 15%, and the 10 common adaptation weights are 1.2%, 2.8%, 6%, 12%, 4%, 22%, 13%, 18%, 5%, and 9% in sequence. Values with adaptation weights greater than 15% are removed, and the remaining adaptation weights are ranked to yield 1.2%, 2.8%, 4%, 5%, 6%, 9%, 12%, 13%. The corresponding pentad is 0.4 × 9% +0.6 × 12% ═ 10.8%, the corresponding compensation adaptation weight 15% -10.8% ═ 4.2%, or the corresponding pentad is 0.8 × 12% +0.2 × 13% + 12.2% and the corresponding compensation adaptation weight 15% -12.2% + 2.8% after adding 1 to the sample number.
In this embodiment, when the consumption type of the user is a general user and the historical flight cycle adaptation weight of the user is lower than the standard adaptation weight, route information of the adaptation weight of the sum of the historical flight cycle adaptation weight of the user and the compensation adaptation weight is pushed to the user, and when the historical flight cycle adaptation weight of the user is higher than or equal to the standard adaptation weight, route information the same as the standard adaptation weight is pushed to the user.
When the consumption type of the user is a loyalty user and the historical flight cycle adaptation weight of the user is lower than the standard adaptation weight, pushing route information which is the same as the historical flight cycle adaptation weight of the user for the user, and when the historical flight cycle adaptation weight of the user is higher than or equal to the standard adaptation weight, pushing route information which is the same as the standard adaptation weight for the user. The historical consumption data of the user is acquired, the historical consumption data of the user is analyzed and processed to judge the group type of the user, corresponding route information is pushed to different types of users by comparing the adaptive weight of the historical flight period of the user with the standard adaptive weight of the current flight period of the user for user groups of different consumption types, and the advantages of providing the user with benefits under the condition of reducing the cost, ensuring the maintenance proportion of the user and improving the activation rate are achieved. The user types judged according to the historical consumption data comprise: a general user or a loyal user.
The step of calculating the standard adaptation weights comprises: accumulating and averaging the user historical flight cycle adaptation weights of all users in the loyalty user group to obtain the standard adaptation weight of the user group of the current user flight cycle, wherein the calculation formula is as follows:
wherein the content of the first and second substances,
adapting weights for the standards of the user population of the current user flight cycle;
a number of users that are a loyalty group of users; ditAdapting a weight, f (V), for an ith loyalty user over said user's historical flight periodit)ditAdapted weight for ith loyal user, VitFor the consumption type discrimination value of the ith loyalty user in the historical flying period of the user,
wherein, f (V)it) The consumption type of the ith user in the historical flying period of the user is shown;
defining a function:
then it is possible to obtain:
wherein omegatAnd the user group set is determined according to the consumption type of the user for the historical flight cycle of the user.
When the consumption type of a user is a common user and the historical flight cycle adaptation weight of the user is lower than the standard adaptation weight, pushing route information of the discount rate of the sum of the historical flight cycle adaptation weight of the user and the compensation adaptation weight for the user, and when the historical flight cycle adaptation weight of the user is higher than or equal to the standard adaptation weight, pushing route information which is the same as the standard adaptation weight for the user, wherein the following formula is adopted for the common user:
wherein the subscript g indicates the average customer,
adapting weights to criteria of a user population of the current user flight cycle
The values are the same and alpha is the compensation adaptation weight.
Preferably, the airline information pushing system is further configured to, when the consumption type of the user is a loyalty user and the historical flight cycle adaptation weight of the user is lower than the standard adaptation weight, push airline information that is the same as the historical flight cycle adaptation weight of the user for the user, and when the historical flight cycle adaptation weight of the user is higher than or equal to the standard adaptation weight, push airline information that is the same as the standard adaptation weight for the user, specifically, apply the following formula to the loyalty user:
where r represents the adaptation weight, the superscript t represents the historical user flight period, where t +1 represents the current user flight period for which airline information is to be pushed, and the subscript l represents the loyalty customer.
In this embodiment, specifically, the user information is obtained through a human-computer interaction interface of the service information interaction module used by the user; the man-machine interaction interface comprises a graphical interface, a service client and a network portal facing to internal services and external services.
Specifically in this embodiment, the data analysis processing system includes:
the user login module is used for providing user login information for a user to input so as to log in the service information interaction module;
the user switching module is connected with the user login module and is used for providing the user with switching login among different login users;
the flight requirement input module is used for providing a user with a specific flight requirement input after logging in the service information interaction module;
the flight demand modification module is connected with the flight demand input module and used for providing the flight demand modification for the user;
the flight demand issuing module is connected with the flight demand input module and the flight demand modification module and used for sending the flight demand or the modified flight demand to the airline information pushing system;
the second trip scheme receiving module is used for receiving the trip scheme sent by the data analysis processing system through the airline information pushing system;
the confirmation pushing module is connected with the second trip scheme receiving module and used for providing the management personnel with a trip scheme sent by the route information pushing module to confirm whether the route information is pushed by the route information pushing module or not and generate confirmation pushing information;
the confirmed push information sending module is connected with the confirmed push module and used for forwarding the confirmed push information to the data analysis processing system through the air route information pushing system for storage;
the route information inquiry module is used for providing the route information pushed by the route information pushing module for the user to inquire;
the confirmation module is used for providing confirmation processing for the air route for the user and generating a confirmation result;
and the confirmation result sending module is connected with the confirmation module and used for sending the confirmation result to the data analysis processing system through the air route information pushing system so as to complete the whole transaction process.
In this embodiment, the data terminal system specifically includes:
the flight demand acquisition module is used for acquiring and storing flight demands issued by users on the service information interaction module;
the trip scheme editing module is connected with the flight demand acquisition module and used for providing a corresponding trip scheme for the route information pushing module according to the information recorded on the flight demand;
the trip scheme sending module is connected with the trip scheme editing module and is used for sending the trip scheme to a corresponding user through the route information pushing system;
the confirmed push information receiving module is used for forwarding the corresponding confirmed push information through the air route information pushing system;
the airline module is used for providing airline operations for the airline information pushing module, for example, if the user selects to go out, the airline information pushing module can mark the airline mode as the user going out through the airline module; if the user selects to make a reservation, the airline information pushing module can mark the user as a reservation through the airline module;
and the confirmation result receiving module is used for receiving the route confirmation result forwarded by the route information pushing system.
And the airline information pushing module represents that the whole transaction process is finished after receiving the airline confirmation result sent by the user.
The route information pushing system in the embodiment specifically comprises:
the flight demand receiving module is used for receiving flight demands sent by users;
the flight requirement auditing module is connected with the flight requirement receiving module and is used for providing the background staff with content auditing on the flight requirement; for example, whether the content recorded in the flight requirement has information filling errors, whether wrongly written characters exist or not and whether the user contact information is filled in or not are checked;
the flight demand display module is connected with the flight demand auditing module and used for issuing the flight demand which passes the auditing to the service information interaction module for displaying;
the first trip scheme receiving module is used for receiving the trip scheme sent by the route information pushing module through the data analysis processing system;
the trip scheme auditing module is connected with the first trip scheme receiving module and is used for providing content auditing for the trip scheme for background workers, such as auditing whether relevant airline information, such as airline contact information, push airline names, trip dates and other basic push information, is explicitly recorded in the trip scheme;
the trip scheme forwarding module is connected with the trip scheme auditing module and is used for forwarding the trip scheme which passes the content auditing to the user through the corresponding service information interaction module;
the air route information acquisition unit is used for acquiring air route information related to the flight requirement from the data analysis processing system according to an air route information query instruction initiated by a user;
and the confirmation result forwarding module is used for feeding back the sent flight path confirmation result related to the flight requirement to the data analysis processing system.
In order to realize the autonomous selection of the user on the airline information push module according to the region where the airline information push module is located, the service information interaction module further comprises a first airline information push module selection module, and the first airline information push module selection module specifically comprises:
the system comprises a route information pushing module region selection unit, a route information pushing module region selection unit and a route information pushing module region selection unit, wherein the route information pushing module region selection unit is used for providing the region where a user definitely wants to push a route information pushing module; for example, a user can select a route information pushing module in the Zhejiang range to push by the route information pushing module through a route information pushing module region selection unit;
the first airline information pushing module query unit is connected with the airline information pushing module region selection unit and used for providing a query instruction for a user to the airline information pushing system to query the pushed airline information of the first airline information pushing module of the airline information pushing module in the region where the user is located;
the information query result receiving and displaying unit of the first route information pushing module is used for receiving the information query result of the first route information pushing module sent by the route information pushing system and displaying the route information recorded in the information query result of the first route information pushing module to a user;
the airline information pushing system also comprises an information acquisition unit of a first airline information pushing module, wherein the information acquisition unit of the first airline information pushing module is connected with an airline information pushing module database, a plurality of airline information of the airline information pushing module are stored in the airline information pushing module database, and the information acquisition unit of the first airline information pushing module is used for acquiring various airline information in the region selected by the user in the airline information pushing module database and pushing corresponding airline information according to an information query instruction of the first airline information pushing module of the user;
the information acquisition result forming unit of the first route information pushing module is connected with the information acquisition unit of the first route information pushing module and used for inquiring and storing the information inquiry result of the first route information pushing module corresponding to the acquired route information pushing module;
and the information query result sending unit is connected with the information acquisition result forming unit of the first route information pushing module and is used for sending the information query result of the first route information pushing module to the service information interaction module.
In order to realize that the user autonomously selects the route information pushing module according to the pushing capability of the route information pushing module, the service information interaction module also comprises a second route information pushing module selection module and a second route information pushing module selection module, wherein the second route information pushing module selection module specifically comprises:
the route information pushing module adaptation weight selection unit is used for providing the adaptation weight corresponding to the route information pushing module which the user definitely wants to push;
the information query unit of the second route information pushing module is connected with the route information pushing module adaptive weight selection unit and used for providing a query instruction for a user to send a route information corresponding to the adaptive weight to the route information pushing system to obtain corresponding route information of the second route information pushing module;
the information query result receiving and displaying unit of the second route information pushing module is used for receiving the information query result of the second route information pushing module sent by the route information pushing system and displaying the route information recorded in the information query result of the second route information pushing module to the user;
the airline information pushing system further comprises an information acquiring unit of a second airline information pushing module, the information acquiring unit of the second airline information pushing module is connected with an airline information pushing module database, a plurality of airline information of the airline information pushing module are stored in the airline information pushing module database, and the information acquiring unit of the second airline information pushing module specifically comprises:
the information acquisition unit of the second route information pushing module is used for acquiring corresponding route information which accords with the adaptive weight from a route information pushing module database according to an information query instruction of the second route information pushing module of the user;
the information acquisition result forming unit of the second route information pushing module is connected with the information acquisition unit of the second route information pushing module and used for inquiring and storing the information of the second route information pushing module of the obtained route information pushing module;
and the information query result sending unit is connected with the information acquisition result forming unit of the second route information pushing module and is used for sending the information query result of the second route information pushing module to the corresponding service information interaction module.
Based on the big data-based aviation information management platform, the invention also provides a big data-based aviation information management method, which comprises the following steps of S1, obtaining multi-source aviation information data, and S2, associating, analyzing and processing the massive multi-source aviation information data through big data and cloud computing technology to form airline map information; s3 respectively carrying out visualization processing on the route map information, constructing a service information interaction module, and acquiring user information through the service information interaction module, wherein the user information comprises user flight requirements, user historical route information and user flight cycles; s4, judging the user type according to the historical course information of the user, the service information interaction module performing adaptation analysis on the flight requirement of the user and the course map information according to the user type, determining the current standard adaptation weight according to the adaptation weight of the historical course information of the user in the historical flight period of the user, and pushing corresponding course information to different types of users.
The reader should understand that in the description of this specification, reference to the description of the terms "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described method embodiments are merely illustrative, and for example, the division of steps into only one logical functional division may be implemented in practice in another way, for example, multiple steps may be combined or integrated into another step, or some features may be omitted, or not implemented.
While the invention has been described with reference to specific embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An aviation information management platform based on big data is characterized by comprising a data acquisition system, a data analysis processing system, a data terminal system and a route information pushing system; wherein the content of the first and second substances,
the data acquisition system is used for acquiring multi-source aviation information data;
the data analysis processing system is used for correlating, analyzing and processing the multi-source aviation information data based on a big data analysis and cloud computing method to form route map information and constructing a service information interaction module according to the route map information;
the data terminal system is used for acquiring user information through the service information interaction module; the user information comprises user flight requirements, user historical route information and a user flight cycle; the system is also used for judging the user type according to the historical flight path information of the user, carrying out adaptation analysis on the flight period of the user and the flight path map information according to the user type and the flight requirement of the user to obtain the adaptation weight of the historical flight period of the user, and determining the standard adaptation weight of the flight period of the user according to the adaptation weight in the historical flight period of the user;
the airline information pushing system is used for pushing corresponding airline information according to different user types and according to the user types, the user historical flight cycle adaptive weight and the standard adaptive weight of the user flight cycle.
2. The big-data-based aviation information management platform according to claim 1, further comprising a data transmission system, wherein the data transmission system is configured to transmit the multi-source airline information data obtained by the data acquisition system to the service information interaction module for storage and processing through multiple transmission links under preset standards and protocols.
3. The big-data-based aviation information management platform according to claim 1, wherein the data terminal system is specifically configured to: acquiring user information through a man-machine interaction interface of a service information interaction module used by a user; the man-machine interaction interface comprises a graphical interface, a service client and a network portal facing to internal services and external services.
4. The big-data-based aviation information management platform according to claim 1, wherein the data analysis processing system comprises a resource module, a platform module and an application module,
the resource module is used for acquiring software and hardware resources required by information data calculation, storage and management, operating the virtualized resources in a virtual operating system and converting the virtualized resources into virtualized resources through virtualized calculation;
the platform module is used for correlating, analyzing and processing the multi-source aviation information data based on a big data analysis and cloud computing method to form route map information used by a user, and constructing a service information interaction module according to the route map information;
the application module is used for calling the virtualized resources of the resource module and the route map information processed by the platform module so as to provide visual information service for the user.
5. The big-data-based aviation information management platform according to claim 4, wherein the platform module stores the multi-source aviation information data through distributed storage and calculation to form route map information for a user to use, and the route map information is stored through building a cloud server to build a service information interaction module.
6. The big-data-based aviation information management platform according to claim 1, wherein the user types include a normal user and a loyalty user, and the airline information pushing system is specifically configured to push corresponding airline information to the normal user and the loyalty user according to the user types, the user historical flight cycle adaptation weights, and the standard adaptation weights of the user flight cycles;
and the data terminal system is also used for accumulating the user historical flight period adaptation weights of the common user group to obtain an average value, obtaining the standard adaptation weights of the common user group, comparing the user historical flight period adaptation weights of the common user group with the standard adaptation weights respectively, sequencing all the adaptation weights which are smaller than the standard adaptation weights in an ascending manner, selecting five-point positions from the sequenced user historical flight period adaptation weights, summing the five-point positions according to a proportion to obtain a five-point value, and subtracting the five-point position value from the standard adaptation weights to obtain a compensation adaptation weight.
7. The big-data-based aviation information management platform according to claim 6, wherein the step of pushing corresponding airline information to a general user specifically comprises:
when the user historical flight cycle adaptation weight is lower than the standard adaptation weight, pushing route information with the adaptation weight being the same as the sum of the user historical flight cycle adaptation weight and the compensation adaptation weight for the current common user;
and when the historical flight cycle adaptation weight of the user is higher than or equal to the standard adaptation weight, pushing route information with the adaptation weight being the same as the standard adaptation weight for the current common user.
8. The big-data-based aviation information management platform according to claim 6, wherein the pushing of the corresponding airline information to the loyal user specifically comprises:
when the user historical flight cycle adaptation weight is lower than the standard adaptation weight, pushing route information with the adaptation weight being the same as the user historical flight cycle adaptation weight for the current loyalty user;
and when the historical flight cycle adaptation weight of the user is higher than or equal to the standard adaptation weight, pushing route information with the adaptation weight being the same as the standard adaptation weight for the current loyalty user.
9. The aviation information management method based on big data is characterized by comprising the following steps,
s1, acquiring multi-source aviation information data;
s2, performing association, analysis and processing on the multi-source aviation information data through big data and cloud computing to form route map information, and constructing a service information interaction module according to the route map information;
s3, obtaining user information through the service information interaction module, wherein the user information comprises user flight requirements, user historical airline information and user flight cycles, judging the user type according to the user historical airline information, performing adaptation analysis on the user flight cycles and the airline map information according to the user type and the user flight requirements to obtain user historical flight cycle adaptation weights, and determining standard adaptation weights of the current user flight cycles according to the adaptation weights in the user historical flight cycles;
and S4, pushing route information to different types of users according to the user types, the adaptive weight of the historical flight cycles of the users and the standard adaptive weight.
10. The big-data-based aviation information management method according to claim 9, further comprising, before S3, the step of transmitting the multi-source airline information data to the service information interaction module for storage and processing through multiple transmission links under preset standards and protocols.
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