CN113487135A - Flight planning method, system and storage medium based on user requirements - Google Patents

Flight planning method, system and storage medium based on user requirements Download PDF

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CN113487135A
CN113487135A CN202110631776.3A CN202110631776A CN113487135A CN 113487135 A CN113487135 A CN 113487135A CN 202110631776 A CN202110631776 A CN 202110631776A CN 113487135 A CN113487135 A CN 113487135A
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刘志全
许红才
原凯
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Hainan Taimei Airlines Co ltd
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Abstract

The invention relates to a flight planning method, a flight planning system and a storage medium based on user requirements, wherein the flight planning method comprises the following steps: receiving an airline query request sent by a user side, and matching a plurality of associated flight information according to the airline query request; importing historical ticket buying information of a user side, and obtaining user requirements through the historical ticket buying information; analyzing the multiple associated flight information according to the user requirements to obtain an optimal flight; and marking the optimal flight in the associated flight information, and sending the marked associated flight information to the user side. According to the invention, the user requirements can be obtained from the historical ticket purchasing information of the user side, the optimal flight is automatically planned for the client from the related multiple associated flight information according to the user requirements, the time for selecting the air ticket by the user is reduced, and the user experience is improved.

Description

Flight planning method, system and storage medium based on user requirements
Technical Field
The invention mainly relates to the technical field of flight data processing, in particular to a flight planning method, a flight planning system and a storage medium based on user requirements.
Background
At present, a flight generation method or a flight generation system can only generate a plurality of pieces of airline information through departure time, a departure place and a destination which are input by a user, the plurality of pieces of airline information are displayed to the user, and then the user selects a flight suitable for the user from the flight information.
Disclosure of Invention
The invention aims to solve the technical problem of the prior art and provides a flight planning method, a flight planning system and a storage medium based on user requirements.
The technical scheme for solving the technical problems is as follows: a flight planning method based on user requirements comprises the following steps:
receiving an airline inquiry request sent by a user side, wherein the airline inquiry request carries user identity information and inquiry information and is matched with a plurality of associated flight information according to the inquiry information;
importing historical ticket buying information corresponding to the user identity information, and obtaining user requirements through the historical ticket buying information;
analyzing the associated flight information according to the user requirement to obtain an optimal flight;
and marking the optimal flight in the associated flight information, and sending the marked associated flight information to the user side.
The invention has the beneficial effects that: the method and the system have the advantages that the user requirements can be obtained from historical ticket purchasing information of the user side, the optimal flight is automatically planned for the client from the related multiple associated flight information according to the user requirements, the time for selecting the air ticket by the user is shortened, and the user experience is improved.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, the process of matching to a plurality of associated flight information according to the query information includes:
and obtaining travel time, departure place information and destination information from the query information, and matching a plurality of associated flight information according to the travel time, the departure place information and the destination information.
The beneficial effect of adopting the further scheme is that: the flight line query request can be matched with the plurality of associated flights, so that the optimal flight line which is most suitable for the user requirement can be selected from the plurality of associated flight lines according to the user requirement.
Further, the process of importing the historical ticket buying information of the user side and obtaining the user requirement through the historical ticket buying information includes:
screening ticket buying transaction success information and corresponding ticket buying point selection information in each time period from the historical ticket buying information according to a preset time interval;
and respectively obtaining corresponding user requirements from the plurality of ticket buying and selecting information.
The beneficial effect of adopting the further scheme is that: useful ticket buying and ordering information can be locked through ticket buying transaction success information in the historical ticket buying information, user requirements can be obtained through the ticket buying and ordering information, the user requirements can be learned, and therefore the user requirements are locked.
Further, the process of analyzing the plurality of associated flights to obtain the optimal flight according to the user requirement includes:
counting the frequency of different user demands, arranging the user demands in the sequence from high frequency to low frequency to obtain the sequence of the user demands, and screening the associated flight information by taking the user demand arranged at the head as a screening basis to obtain the optimal flight.
The beneficial effect of adopting the further scheme is that: and for different user demands, the user demand with the highest frequency is used as a screening basis for flight screening, so that the optimal flight is obtained.
Further, the process of analyzing the plurality of associated flights to obtain the optimal flight according to the user requirement includes:
counting the frequency of different user demands, arranging the user demands in the sequence from high frequency to low frequency to obtain the sequence of the user demands, and screening the associated flight information in sequence according to the sequence of the user demands to obtain the optimal flight.
The beneficial effect of adopting the further scheme is that: for different user demands, the screening basis can be determined by the frequency of the occurrence of the user demands, so as to obtain the optimal flight.
Further, the process of analyzing the plurality of associated flights to obtain the optimal flight according to the user requirement includes:
counting the frequency of different user demands, arranging the user demands in the sequence from low frequency to high frequency to obtain the sequence of the user demands, and screening the associated flight information in sequence according to the sequence of the user demands to obtain the optimal flight.
The beneficial effect of adopting the further scheme is that: for different user demands, the screening basis can be determined by the frequency of the occurrence of the user demands, so as to obtain the optimal flight.
Further, the user requirements include price requirements, business requirements, and transit requirements.
The beneficial effect of adopting the further scheme is that: different user requirements can be obtained.
Further, the method also comprises the following steps: receiving a settlement request sent by a user side, and calling an air ticket payment interface to the user side for settlement processing according to the settlement request to obtain settlement success information.
The beneficial effect of adopting the further scheme is that: the settlement method can facilitate quick and convenient settlement for users.
Further, the method also comprises the following steps: and acquiring boarding date and destination information from the air ticket payment interface according to the settlement success information, and when the boarding date is reached n hours, sending destination weather information to the user side according to the destination information, wherein n is greater than 0.
The beneficial effect of adopting the further scheme is that: the weather information of the destination can be sent to the user in advance, so that the user can know the weather condition of the destination in time, and the service is more in place and more attentive.
Another technical solution of the present invention for solving the above technical problems is as follows: a flight planning system based on user demand, comprising:
the receiving module is used for receiving an airline query request sent by a user side, wherein the airline query request carries user identity information and query information and is matched with a plurality of associated flight information according to the query information;
the processing module is used for importing historical ticket purchasing information corresponding to the user identity information and obtaining user requirements through the historical ticket purchasing information;
analyzing the associated flight information according to the user requirement to obtain an optimal flight;
and marking the optimal flight in the associated flight information, and sending the marked associated flight information to the user side.
Another technical solution of the present invention for solving the above technical problems is as follows: a flight planning system based on user demand, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program, when executed by the processor, implementing a flight planning method as described above.
Another technical solution of the present invention for solving the above technical problems is as follows: a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements a flight planning method as described above.
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Fig. 1 is a schematic flow chart of a flight planning method according to an embodiment of the present invention;
fig. 2 is a functional block diagram of a flight planning system according to an embodiment of the present invention;
fig. 3 is a schematic data flow diagram of a flight planning system and a client according to an embodiment of the present invention;
fig. 4 is a structural diagram of a flight planning system and a client according to an embodiment of 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.
Example 1:
as shown in fig. 1, a flight planning method based on user demand includes the following steps:
receiving an airline inquiry request sent by a user side, wherein the airline inquiry request carries user identity information and inquiry information and is matched with a plurality of associated flight information according to the inquiry information;
importing historical ticket buying information corresponding to the user identity information, and obtaining user requirements through the historical ticket buying information;
analyzing the associated flight information according to the user requirement to obtain an optimal flight;
and marking the optimal flight in the associated flight information, and sending the marked associated flight information to the user side.
It should be understood that the historical ticket purchasing information is the information collected by the user inquiring or screening the flight when the user terminal purchases the ticket in the past. And taking the historical ticket purchasing information as basic data for analyzing the user requirements.
It should be appreciated that the optimal flight may be labeled in a different font form or in a different font color form. The method can also be used for generating an electronic map, displaying a plurality of associated flight information in the electronic map, marking the optimal flight through special colors, and embodying the optimal flight in a conspicuous manner, so that the user side can conveniently know and select the optimal flight.
In the embodiment, the user requirements can be obtained from the historical ticket purchasing information of the user side, the optimal flight is automatically planned for the client from the related multiple associated flight information according to the user requirements, the time for selecting the air ticket by the user is shortened, and the user experience is improved.
Specifically, the process of matching to a plurality of associated flight information according to the query information includes:
and obtaining travel time, departure place information and destination information from the query information, and matching a plurality of associated flight information according to the travel time, the departure place information and the destination information.
As explained in detail below, travel time, origin information, and destination information are obtained from the airline query request, for example, information is obtained: and matching according to the information to obtain a plurality of associated flight information when the travel time is X, Y, Z, the departure place is Beijing and the destination is III. And taking the plurality of associated flight information as basic data for screening the optimal flight.
In the above embodiment, the flight line query request can be matched to the plurality of associated flight lines, so that the optimal flight line most suitable for the user requirement can be selected from the plurality of associated flight lines according to the user requirement.
Specifically, the process of importing the historical ticket buying information of the user side and obtaining the user requirement through the historical ticket buying information includes:
screening ticket buying transaction success information and corresponding ticket buying point selection information in each time period from the historical ticket buying information according to a preset time interval;
and respectively obtaining corresponding user requirements from the plurality of ticket buying and selecting information.
Specifically, how to obtain the ticket-buying transaction success information corresponding to each time segment from the historical ticket-buying information according to a plurality of time segments is described as shown in table one:
watch 1
Figure BDA0003103842000000061
Figure BDA0003103842000000071
User requirements, which may include price requirements, business requirements, transit requirements, and the like, may thus be focused on. Different user requirements can be obtained.
Specifically, the preset time interval may be set to every 15 days.
In the embodiment, useful ticket buying and selecting information can be locked through the ticket buying transaction success information in the historical ticket buying information, the user requirement is obtained through the ticket buying and selecting information, the user requirement can be learned, and therefore the user requirement is locked.
The following describes the route screening method specifically:
the process of analyzing and obtaining the optimal flight from the plurality of associated flights according to the user demand comprises the following steps:
counting the frequency of different user demands, arranging the user demands in the sequence from high frequency to low frequency to obtain the sequence of the user demands, and screening the associated flight information by taking the user demand arranged at the head as a screening basis to obtain the optimal flight.
For example, how to count the frequency of occurrence of different user needs: in the table one, the ticket-buying ordering information corresponding to successful ticket-buying of the client in the last half year can be obtained through statistics, and the ticket-buying ordering information comprises 4 times of paying attention to the price, 2 times of paying attention to the public business and 1 time of paying attention to the transit.
Therefore, the price requirement is the main user requirement of the client, and the public business requirement and the transit requirement are the secondary user requirements of the client.
The main user demand, namely the price demand, can be used as a screening basis to screen the associated flight information, namely, the flight with the most favorable bid is selected from the associated flight information, so that the optimal flight is obtained.
It should be understood that, focusing on the user requirement, it takes a period of time to collect the user behavior data, and learning of user requirement collection is required to obtain a more accurate user requirement.
In the above embodiment, for different user demands, the user demand with the highest frequency is used as a screening basis for flight screening, so as to obtain the optimal flight.
Another way of screening airlines is: the process of analyzing and obtaining the optimal flight from the plurality of associated flights according to the user demand comprises the following steps:
counting the frequency of different user demands, arranging the user demands in the sequence from high frequency to low frequency to obtain the sequence of the user demands, and screening the associated flight information in sequence according to the sequence of the user demands to obtain the optimal flight.
For example, how to count the frequency of occurrence of different user needs: in the table one, the ticket-buying ordering information corresponding to successful ticket-buying of the client in the last half year can be obtained through statistics, and the ticket-buying ordering information comprises 4 times of paying attention to the price, 2 times of paying attention to the public business and 1 time of paying attention to the transit.
Therefore, the price requirement is the main user requirement of the client, and the public business requirement and the transit requirement are the secondary user requirements of the client.
That is, the price requirement, the public business requirement and the transit requirement are used as the screening conditions, and the associated flight information is screened, for example, the price requirement is used as the screening conditions, 4 associated flight information with the most favorable price is screened from 10 associated flight information, the public business requirement is used as the screening conditions, 3 associated flight information meeting the public business requirement is selected from 4 associated flight information, the transit requirement (i.e. no transit) is used as the screening conditions, and the associated flight information meeting the transit requirement (i.e. no transit) is selected from 3 associated flight information. Namely, flights meeting the requirements of price, public business and transit are selected from the flight, so that the optimal flights are obtained.
If the plurality of pieces of relevant flight information cannot satisfy a certain filtering condition, the filtering condition is skipped and the next filtering condition is selected.
It should be understood that, focusing on the user requirement, it takes a period of time to collect the user behavior data, and learning of user requirement collection is required to obtain a more accurate user requirement.
In the above embodiment, for different user demands, the basis for screening may be determined by the frequency of occurrence of the user demand, so as to obtain the optimal flight.
Another way of screening airlines is: the process of analyzing and obtaining the optimal flight from the plurality of associated flights according to the user demand comprises the following steps:
counting the frequency of different user demands, arranging the user demands in the sequence from low frequency to high frequency to obtain the sequence of the user demands, and screening the associated flight information in sequence according to the sequence of the user demands to obtain the optimal flight.
For example, how to count the frequency of occurrence of different user needs: in the table one, the ticket-buying ordering information corresponding to successful ticket-buying of the client in the last half year can be obtained through statistics, and the ticket-buying ordering information comprises 4 times of paying attention to the price, 2 times of paying attention to the public business and 1 time of paying attention to the transit.
Therefore, the price requirement is the main user requirement of the client, and the public business requirement and the transit requirement are the secondary user requirements of the client.
The main user requirements, namely the transit requirement, the public business requirement and the price requirement, can be sequentially used as the basis of the screening sequence, and the screening is carried out in the associated flight information, namely, the flights meeting the price, the public business requirement and the transit requirement are selected from the associated flight information, so that the optimal flights are obtained.
It should be understood that, focusing on the user requirement, it takes a period of time to collect the user behavior data, and learning of user requirement collection is required to obtain a more accurate user requirement.
In the above embodiment, for different user demands, the basis for screening may be determined by the frequency of occurrence of the user demand, so as to obtain the optimal flight.
Alternatively, if the user side purchases a ticket for the first time, the optimal flight information can be recommended for the user side. Specifically, the historical ticket purchasing information of each client is analyzed to obtain a plurality of user demands, the user demand with the highest frequency of occurrence of the plurality of user demands is used as a screening basis, and the screened optimal flight is sent to the client.
The reference information of the optimal flight can be obtained by the user side, and the user experience is enhanced.
Specifically, the method further comprises the following steps: receiving a settlement request sent by a user side, and calling an air ticket payment interface to the user side for settlement processing according to the settlement request to obtain settlement success information.
In the embodiment, the settlement can be performed conveniently and quickly by the user.
Specifically, the method further comprises the following steps: and acquiring boarding date and destination information from the air ticket payment interface according to the settlement success information, and when the boarding date is reached by n hours, wherein n is more than 0, sending destination weather information to the user side according to the destination information.
It should be understood that, when the boarding date is 0 on the boarding day, assuming that n is 18 at 0 on 3 months and 2 days, destination weather information is transmitted to the user terminal 18 hours before 0 on 3 months and 2 days.
In the embodiment, the weather information of the destination can be sent to the user in advance, so that the user can know the weather condition of the destination in time, and the service is more in place and more attentive.
On the basis of the above embodiment, the associated flight information which is interested by the user can also be pushed to the user terminal periodically.
Example 2:
as shown in fig. 2-3, a flight planning system based on user demand includes:
the receiving module is used for receiving an airline query request sent by a user side, wherein the airline query request carries user identity information and query information and is matched with a plurality of associated flight information according to the query information;
the processing module is used for importing historical ticket purchasing information corresponding to the user identity information and obtaining user requirements through the historical ticket purchasing information;
analyzing the associated flight information according to the user requirement to obtain an optimal flight;
and marking the optimal flight in the associated flight information, and sending the marked associated flight information to the user side.
Specifically, in the processing module, the process of obtaining information of a plurality of associated flights according to the airline query request includes:
and obtaining travel time, departure place information and destination information from the query information, and matching a plurality of associated flight information according to the travel time, the departure place information and the destination information.
In the above embodiment, the flight line query request can be matched to the plurality of associated flight lines, so that the optimal flight line most suitable for the user requirement can be selected from the plurality of associated flight lines according to the user requirement.
Specifically, in the processing module, the process of importing the historical ticket purchasing information of the user side and obtaining the user requirement through the historical ticket purchasing information includes:
screening ticket buying transaction success information and corresponding ticket buying point selection information in each time period from the historical ticket buying information according to a preset time interval;
and respectively obtaining corresponding user requirements from the plurality of ticket buying and selecting information.
In the embodiment, useful ticket buying and selecting information can be locked through the ticket buying transaction success information in the historical ticket buying information, the user requirement is obtained through the ticket buying and selecting information, the user requirement can be learned, and therefore the user requirement is locked.
Another way of screening airlines is: the process of analyzing and obtaining the optimal flight from the plurality of associated flights according to the user demand comprises the following steps:
counting the frequency of different user demands, arranging the user demands in the sequence from low frequency to high frequency to obtain the sequence of the user demands, and screening the associated flight information in sequence according to the sequence of the user demands to obtain the optimal flight.
In the above embodiment, for different user demands, the basis for screening may be determined by the frequency of occurrence of the user demand, so as to obtain the optimal flight.
Another way of screening airlines is: the process of analyzing and obtaining the optimal flight from the plurality of associated flights according to the user demand comprises the following steps:
counting the frequency of different user demands, arranging the user demands in the sequence from high frequency to low frequency to obtain the sequence of the user demands, and screening the associated flight information in sequence according to the sequence of the user demands to obtain the optimal flight.
In the above embodiment, for different user demands, the basis for screening may be determined by the frequency of occurrence of the user demand, so as to obtain the optimal flight.
Specifically, in the processing module, the process of analyzing and obtaining an optimal flight from the plurality of associated flights according to the user requirement includes:
counting the frequency of different user demands, arranging the user demands in the sequence from low frequency to high frequency to obtain the sequence of the user demands, and screening the associated flight information in sequence according to the sequence of the user demands to obtain the optimal flight.
In the above embodiment, for different user demands, the basis for screening may be determined by the frequency of occurrence of the user demand, so as to obtain the optimal flight.
Specifically, the user requirements include price requirements, business requirements, and transit requirements.
In the above embodiment, different user requirements can be obtained.
Specifically, in the processing module, the method further includes the steps of: receiving a settlement request sent by a user side, and calling an air ticket payment interface to the user side for settlement processing according to the settlement request to obtain settlement success information.
In the embodiment, the settlement can be performed conveniently and quickly by the user.
Specifically, the processing module is further configured to obtain boarding date and destination information from the ticket payment interface according to the settlement success information, and when n hours before the boarding date is reached, n is greater than 0, send destination weather information to the user side according to the destination information.
For example, n is 24 hours, that is, destination weather information is transmitted to the user terminal 24 hours before the boarding date.
In the embodiment, the weather information of the destination can be sent to the user in advance, so that the user can know the weather condition of the destination in time, and the service is more in place and more attentive.
As shown in fig. 4, the processing module of the flight planning system further includes a communication unit, and the communication unit establishes a wireless connection with the user terminal, which may be a WiFi wireless network connection, or a 4G or 5G wireless network connection.
Example 3:
a flight planning system based on user demand, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the computer program, when executed by the processor, implementing a flight planning method as described above.
Example 4:
a computer-readable storage medium, having stored thereon a computer program, for implementing a flight planning method as described above, when the computer program is executed by a processor.
The advantages of the invention include:
1) the method has the advantages that the user requirements can be obtained from the historical ticket purchasing information of the user side, the user requirements can be positioned through the user requirements, the optimal flight is automatically planned for the client from the related multiple associated flight information, the time for selecting the air ticket by the user is reduced, and the user experience is improved.
2) The flight line query request can be matched with the plurality of associated flights, so that the optimal flight line which is most suitable for the user requirement can be selected from the plurality of associated flight lines according to the user requirement.
3) Useful ticket buying and ordering information can be locked through ticket buying transaction success information in the historical ticket buying information, user requirements can be obtained through the ticket buying and ordering information, the user requirements can be learned, and therefore the user requirements are locked.
4) And for different user requirements, the user requirements with different occurrence frequencies are used as screening bases to screen flights, so that the optimal flights are obtained.
5) The settlement method can facilitate quick and convenient settlement for users.
6) When the boarding date arrives, the destination weather information can be sent to the user in advance, so that the user can know the weather condition of the destination in time, and the service is more in place and more confident.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
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 apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A flight planning method based on user demands is characterized by comprising the following steps:
receiving an airline inquiry request sent by a user side, wherein the airline inquiry request carries user identity information and inquiry information and is matched with a plurality of associated flight information according to the inquiry information;
importing historical ticket buying information corresponding to the user identity information, and obtaining user requirements through the historical ticket buying information;
analyzing the associated flight information according to the user requirement to obtain an optimal flight;
and marking the optimal flight in the associated flight information, and sending the marked associated flight information to the user side.
2. The flight planning method of claim 1, wherein the matching to the plurality of associated flight information based on the query information comprises:
and obtaining travel time, departure place information and destination information from the query information, and matching a plurality of associated flight information according to the travel time, the departure place information and the destination information.
3. The flight planning method according to claim 2, wherein the importing of the historical ticket purchasing information of the user end to obtain the user requirement through the historical ticket purchasing information comprises:
screening ticket buying transaction success information and corresponding ticket buying point selection information in each time period from the historical ticket buying information according to a preset time interval;
and respectively obtaining corresponding user requirements from the plurality of ticket buying and selecting information.
4. A flight planning method according to claim 3, wherein the step of analyzing the plurality of associated flights to obtain the optimal flight according to the user requirement comprises:
counting the frequency of different user demands, arranging the user demands in the sequence from high frequency to low frequency to obtain the sequence of the user demands, and screening the associated flight information by taking the user demand arranged at the head as a screening basis to obtain the optimal flight.
5. A flight planning method according to claim 3, wherein the step of analyzing the plurality of associated flights to obtain the optimal flight according to the user requirement comprises:
counting the frequency of different user demands, arranging the user demands in the sequence from high frequency to low frequency to obtain the sequence of the user demands, and screening the associated flight information in sequence according to the sequence of the user demands to obtain the optimal flight.
6. A flight planning method according to any one of claims 1 to 5, further comprising the steps of: receiving a settlement request sent by a user side, and calling an air ticket payment interface to the user side for settlement processing according to the settlement request to obtain settlement success information.
7. The flight planning method of claim 6, further comprising the steps of: and acquiring boarding date and destination information from the air ticket payment interface according to the settlement success information, and when the boarding date is reached n hours, sending destination weather information to the user side according to the destination information, wherein n is greater than 0.
8. A flight planning system based on user demand, comprising:
the receiving module is used for receiving an airline query request sent by a user side, wherein the airline query request carries user identity information and query information and is matched with a plurality of associated flight information according to the query information;
the processing module is used for importing historical ticket purchasing information corresponding to the user identity information and obtaining user requirements through the historical ticket purchasing information;
analyzing the associated flight information according to the user requirement to obtain an optimal flight;
and marking the optimal flight in the associated flight information, and sending the marked associated flight information to the user side.
9. A flight planning system based on user demand, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that when the computer program is executed by the processor, a flight planning method according to any one of claims 1 to 7 is implemented.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out a flight planning method according to any one of claims 1 to 7.
CN202110631776.3A 2021-06-07 2021-06-07 Flight planning method, system and storage medium based on user requirements Pending CN113487135A (en)

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