CN105825284A - Airborne logistics self-service space booking system - Google Patents
Airborne logistics self-service space booking system Download PDFInfo
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Abstract
The invention relates to an airborne logistics self-service space booking system. The airborne logistics self-service space booking system includes an ETL module which is used for acquiring airline real-time data including flight number, destination port, flight date, model and remaining space MNQ level-based quotation information, a timestamp adding module which adds timestamps to the acquired airline real-time data, a data processing module which is used for processing the airline real-time data to obtain quotation data, and a mall online space booking module used for displaying the quotation data in real time and displaying predictive quotations. With the airborne logistics self-service space booking system of the invention adopted, problems in space booking of logistics enterprises can be solved rapidly and efficiently in real time.
Description
Technical field
The present invention relates to airborne logistics self-service booking space system.
Background technology
Logistics refer to by article from supply to receive ground accurately, in time, safely, the rationalization service mode guaranteed both quality and quantity and the service procedure of advanced person.Traditional logistics management electronization and IT application process fall behind, along with the development of logistics supply chain management, the complication of various logistics informations, each enterprise an urgent demand materials stream informationization；Development along with electronic information technology, occur in that the man-machine interaction logistic management system being made up of personnel, computer hardware, software, network communication equipment and other office equipment, to the collection of logistics information, store, transmit, processing and sorting, safeguard and export, strategy, tactics and the support of running decision-making is provided for logistics management person and other organization and administration personnel, competing excellent to reach the strategy of tissue, improve efficiency and the benefit of Logistics Operation.
Informationization technology and the rise of the Internet, logistic industry is also required to informationalized development, and it is low that numerous forwarder enterprises generally exist materials stream informationization degree, the problem that physical-distribution intelligentization is low.Need a kind of airborne logistics self-service booking space system that can design for the drawback that booking space is offered not in time, industry is rudimentary of current loglstics enterprise.
Summary of the invention
In order to solve above-mentioned technical problem, one aspect of the present invention provides a kind of airborne logistics self-service booking space system,
Described airborne logistics self-service booking space system includes:
ETL module, in real time obtaining, described ETL module includes that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
Add timestamp module, the airline's real time data obtained is added timestamp；
Data processing module, described data processing module is for processing airline's real time data, it is thus achieved that quote data；
Arrange shipping space module online in store, for real-time exhibition quote data with show prediction quotation.
Described data processing module includes:
Storing module, described storage module, for the airline's real time data adding timestamp being stored, obtains airline's historical data；
Prediction module, described prediction module is for according to airline's historical data prediction quote data, obtaining prediction quotation；
Judge module, described judge module, for obtaining the current time quotation of airline, is calculated the error of prediction quotation；
Quote module, described quote module is used for exporting quote data, if error is higher than pre-set threshold value, the quote data that then next airline's real time data is corresponding uses and is manually entered, if error is less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Described prediction module includes the first prediction module, the second prediction module, the first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation.
Described prediction module also includes the 3rd prediction module, when the first prediction module or the second prediction module predict that error is higher than arranging threshold values within a period, then the 3rd prediction module replaces the first prediction module or the second prediction module.
Described airborne logistics self-service booking space system also includes:
Prompting module, for being manually entered the prompting of quote data.
Described store module of arranging shipping space online includes course line booking space module and self-service booking space module, and described course line booking space module is for carrying out quickly showing quote data in real time according to course line, and described self-service booking space module is for the quote data of the multiple flights of display in real time.
Module is arranged shipping space online by webService technology real-time exhibition quote data in described store.
Another aspect of the present invention provides a kind of airborne logistics self-service booking space method, and described airborne logistics self-service booking space method comprises the following steps:
Obtain in real time and include that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
The airline's real time data obtained is added timestamp；
Airline's real time data is processed, it is thus achieved that quote data；
Arranging shipping space module online in store, for real-time exhibition quote data with show prediction quotation, described quote data is for autonomous booking space.
Airline's real time data is carried out process comprise the following steps:
The airline's real time data adding timestamp is stored, obtains airline's historical data；
According to airline's historical data prediction quote data, obtain prediction quotation；
Obtain the current time quotation of airline, be calculated the error of prediction quotation；
If error is higher than pre-set threshold value, then the quote data that next airline's real time data is corresponding uses and is manually entered, if error less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Described prediction module includes the first prediction module, the second prediction module, the first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation.
Described prediction module also includes the 3rd prediction module, when the first prediction module or the second prediction module predict that error is higher than arranging threshold values within a period, then the 3rd prediction module replaces the first prediction module or the second prediction module.
Described airborne logistics self-service booking space method also includes reminding step, if error is higher than pre-set threshold value, sends the prompting being manually entered quote data.
Described store step of arranging shipping space online includes:
Course line booking space step, carries out quickly showing quote data in real time according to course line
Self-service booking space step, shows the quote data of multiple flights in real time.
Module is arranged shipping space online by webService technology real-time exhibition quote data in described store.
The present invention is the management information system of the online self-service booking space of a kind of the Internet+airborne logistics.Carry out the logistics necessary information such as course line date, booking space proportion, the port of departure, port of destination, number of packages, weight and volume by the self-service selection of Internet user and select airline and the management information system of flight.
The present invention be directed to the drawback that booking space is offered not in time, industry the is rudimentary design of current loglstics enterprise.Reach solve loglstics enterprise booking space problem quickly, in real time and efficiently by the present invention.
It is more readily understood the above-mentioned of the application and other features, aspect and advantage with reference to described further below.
Accompanying drawing explanation
Fig. 1 is a kind of schematic diagram of the airborne logistics self-service booking space system of the present invention.
Fig. 2 is a kind of schematic diagram of the airborne logistics self-service booking space system of the present invention.
Fig. 3 is a kind of schematic diagram of the airborne logistics self-service booking space system of the present invention.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with the accompanying drawing of the embodiment of the present invention, the technical scheme of the embodiment of the present invention is clearly and completely described.Obviously, described embodiment is a part of embodiment of the present invention rather than whole embodiments.Based on described embodiments of the invention, all other embodiments that those of ordinary skill in the art are obtained on the premise of without creative work, broadly fall into the scope of protection of the invention.
Unless otherwise defined, technical term used herein or scientific terminology have the ordinary meaning that the personage of general technical ability is understood in shoulding be art of the present invention." first ", " second " and the similar word that use in present patent application description and claims are not offered as any order, quantity or importance, and are used only to distinguish different ingredients.Equally, the similar word such as " " or " " does not indicates that quantity limits yet, but represents and there is at least one.
A kind of airborne logistics self-service booking space system, described airborne logistics self-service booking space system includes: ETL module, in real time obtaining, described ETL module includes that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；Add timestamp module, the airline's real time data obtained is added timestamp；Data processing module, described data processing module is for processing airline's real time data, it is thus achieved that quote data；Arrange shipping space module online in store, for real-time exhibition quote data with show prediction quotation.
The present invention obtains the real time data of airline by ETL module, adds timestamp, thus forms new quote data storehouse.Quote data storehouse according to history, can quickly real-time exhibition quote data, even prediction data.
Described data processing module includes:
Storing module, described storage module, for the airline's real time data adding timestamp being stored, obtains airline's historical data；
Prediction module, described prediction module is for according to airline's historical data prediction quote data, obtaining prediction quotation；
Judge module, described judge module, for obtaining the current time quotation of airline, is calculated the error of prediction quotation；
Quote module, described quote module is used for exporting quote data, if error is higher than pre-set threshold value, the quote data that then next airline's real time data is corresponding uses and is manually entered, if error is less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
The prediction algorithm of the present invention is to judge that the quotation in a certain moment is the most abnormal, prediction algorithm can use simple historical data control methods, such as, the correlative factor of info quote, such as original price, the exchange rate, whether the quotation calculating airline meets expection, as do not met expection, then it is manually entered quotation, and when prediction quotation meets expection, then use preset rules output quotation, preset rules can be plus selling cost and profit in the quotation of current aerospace company, selling cost and profit can also be applied certain factor of influence, factor of influence is by reason price and Determination of Exchange Rate.Above-mentioned is all the common mathematics implementation method in this area, is not repeated herein.Additionally, as a kind of preferably technical scheme, the prediction algorithm of the present invention can use prediction algorithm based on KNN, prediction algorithm based on Q-Learning and realize based on one or more in seasonal effect in time series prediction algorithm.
As the preferred technical scheme of one, described prediction module includes the first prediction module, the second prediction module, the first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation.The two meansigma methods or data that in the two, forecast error absolute value is low can be used as error.First prediction module can be prediction algorithm based on KNN, and the second prediction algorithm can be prediction algorithm based on Q-Learning.
As the preferred technical scheme of one, described prediction module also includes the 3rd prediction module, when the first prediction module or the second prediction module predict that error is higher than arranging threshold values within a period, then the 3rd prediction module replaces the first prediction module or the second prediction module.First prediction module can be prediction algorithm based on KNN, and the second prediction algorithm can be prediction algorithm based on Q-Learning.3rd prediction algorithm can be based on seasonal effect in time series prediction algorithm
Described airborne logistics self-service booking space system also includes: prompting module, for being manually entered the prompting of quote data.
Described store module of arranging shipping space online includes course line booking space module and self-service booking space module, and described course line booking space module is for carrying out quickly showing quote data in real time according to course line, and described self-service booking space module is for the quote data of the multiple flights of display in real time.
Module is arranged shipping space online by webService technology real-time exhibition quote data in described store.
Another aspect of the present invention provides a kind of airborne logistics self-service booking space method, and described airborne logistics self-service booking space method comprises the following steps:
Obtain in real time and include that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
The airline's real time data obtained is added timestamp；
Airline's real time data is processed, it is thus achieved that quote data；
Arranging shipping space module online in store, for real-time exhibition quote data with show prediction quotation, described quote data is for autonomous booking space.
Airline's real time data is carried out process comprise the following steps:
The airline's real time data adding timestamp is stored, obtains airline's historical data；
According to airline's historical data prediction quote data, obtain prediction quotation；
Obtain the current time quotation of airline, be calculated the error of prediction quotation；
If error is higher than pre-set threshold value, then the quote data that next airline's real time data is corresponding uses and is manually entered, if error less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Described airborne logistics self-service booking space method also includes reminding step, if error is higher than pre-set threshold value, sends the prompting being manually entered quote data.
Described prediction module includes the first prediction module, the second prediction module, the first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation.
Described prediction module also includes the 3rd prediction module, when the first prediction module or the second prediction module predict that error is higher than arranging threshold values within a period, then the 3rd prediction module replaces the first prediction module or the second prediction module.
Described store step of arranging shipping space online includes:
Course line booking space step, carries out quickly showing quote data in real time according to course line
Self-service booking space step, shows the quote data of multiple flights in real time.
Module is arranged shipping space online by webService technology real-time exhibition quote data in described store.
Embodiment 1
A kind of airborne logistics self-service booking space system, such as Fig. 1, described airborne logistics self-service booking space system includes: ETL module, in real time obtaining, described ETL module includes that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；Add timestamp module, the airline's real time data obtained is added timestamp；Data processing module, described data processing module is for processing airline's real time data, it is thus achieved that quote data；Arrange shipping space module online in store, for real-time exhibition quote data with show prediction quotation.
Embodiment 2
A kind of airborne logistics self-service booking space system, such as Fig. 2, described airborne logistics self-service booking space system includes: ETL module, in real time obtaining, described ETL module includes that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；Add timestamp module, the airline's real time data obtained is added timestamp；Data processing module, described data processing module is for processing airline's real time data, it is thus achieved that quote data；Arrange shipping space module online in store, for real-time exhibition quote data with show prediction quotation.Described data processing module includes: store module, and described storage module, for the airline's real time data adding timestamp being stored, obtains airline's historical data；Prediction module, described prediction module includes the first prediction module, the second prediction module, and the first prediction module is prediction algorithm based on KNN, and the second prediction algorithm is prediction algorithm based on Q-Learning.The first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation, uses the first prediction quotation to offer as error with the prediction on Error Absolute Value ground in the second prediction quotation；Judge module, described judge module, for obtaining the current time quotation of airline, is calculated the error of prediction quotation；Quote module, described quote module is used for exporting quote data, if error is higher than pre-set threshold value, the quote data that then next airline's real time data is corresponding uses and is manually entered, if error is less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Embodiment 3
A kind of airborne logistics self-service booking space system, such as Fig. 3, described airborne logistics self-service booking space system includes: ETL module, in real time obtaining, described ETL module includes that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；Add timestamp module, the airline's real time data obtained is added timestamp；Data processing module, described data processing module is for processing airline's real time data, it is thus achieved that quote data；Arrange shipping space module online in store, for real-time exhibition quote data with show prediction quotation.Described data processing module includes: store module, and described storage module, for the airline's real time data adding timestamp being stored, obtains airline's historical data；Prediction module, described prediction module is for according to airline's historical data prediction quote data, obtaining prediction quotation；Judge module, described judge module, for obtaining the current time quotation of airline, is calculated the error of prediction quotation；Quote module, described quote module is used for exporting quote data, if error is higher than pre-set threshold value, the quote data that then next airline's real time data is corresponding uses and is manually entered, if error is less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.Described airborne logistics self-service booking space system also includes: prompting module, for being manually entered the prompting of quote data.Described store module of arranging shipping space online includes course line booking space module and self-service booking space module, and described course line booking space module is for carrying out quickly showing quote data in real time according to course line, and described self-service booking space module is for the quote data of the multiple flights of display in real time.
Embodiment 4
Airborne logistics self-service booking space method, described airborne logistics self-service booking space method comprises the following steps:
Obtain in real time and include that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
The airline's real time data obtained is added timestamp；
Airline's real time data is processed, it is thus achieved that quote data；
Arranging shipping space module online in store, for real-time exhibition quote data with show prediction quotation, described quote data is for autonomous booking space.
Embodiment 5
Airborne logistics self-service booking space method, described airborne logistics self-service booking space method comprises the following steps:
Obtain in real time and include that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
The airline's real time data obtained is added timestamp；
Airline's real time data is processed, it is thus achieved that quote data；
Arranging shipping space module online in store, for real-time exhibition quote data with show prediction quotation, described quote data is for autonomous booking space.
Airline's real time data is carried out process comprise the following steps:
The airline's real time data adding timestamp is stored, obtains airline's historical data；
According to airline's historical data prediction quote data, obtain prediction quotation；
Obtain the current time quotation of airline, be calculated the error of prediction quotation；
If error is higher than pre-set threshold value, then the quote data that next airline's real time data is corresponding uses and is manually entered, if error less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Embodiment 6
Airborne logistics self-service booking space method, described airborne logistics self-service booking space method comprises the following steps:
Obtain in real time and include that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
The airline's real time data obtained is added timestamp；
Airline's real time data is processed, it is thus achieved that quote data；
Arranging shipping space module online in store, for real-time exhibition quote data with show prediction quotation, described quote data is for autonomous booking space.
Airline's real time data is carried out process comprise the following steps:
The airline's real time data adding timestamp is stored, obtains airline's historical data；
According to airline's historical data prediction quote data, obtain prediction quotation；
Obtain the current time quotation of airline, be calculated the error of prediction quotation；
If error is higher than pre-set threshold value, then the quote data that next airline's real time data is corresponding uses and is manually entered, if error less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Described prediction module includes the first prediction module, the second prediction module, the first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation.
Embodiment 7
Airborne logistics self-service booking space method, described airborne logistics self-service booking space method comprises the following steps:
Obtain in real time and include that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
The airline's real time data obtained is added timestamp；
Airline's real time data is processed, it is thus achieved that quote data；
Arranging shipping space module online in store, for real-time exhibition quote data with show prediction quotation, described quote data is for autonomous booking space.
Airline's real time data is carried out process comprise the following steps:
The airline's real time data adding timestamp is stored, obtains airline's historical data；
According to airline's historical data prediction quote data, obtain prediction quotation；
Obtain the current time quotation of airline, be calculated the error of prediction quotation；
If error is higher than pre-set threshold value, then the quote data that next airline's real time data is corresponding uses and is manually entered, if error less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Described prediction module includes the first prediction module, the second prediction module, the first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation.Described prediction module also includes the 3rd prediction module, when the first prediction module or the second prediction module predict that error is higher than arranging threshold values within a period, then the 3rd prediction module replaces the first prediction module or the second prediction module.
Embodiment 7
Airborne logistics self-service booking space method, described airborne logistics self-service booking space method comprises the following steps:
Obtain in real time and include that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
The airline's real time data obtained is added timestamp；
Airline's real time data is processed, it is thus achieved that quote data；
Arranging shipping space module online in store, for real-time exhibition quote data with show prediction quotation, described quote data is for autonomous booking space.
Airline's real time data is carried out process comprise the following steps:
The airline's real time data adding timestamp is stored, obtains airline's historical data；
According to airline's historical data prediction quote data, obtain prediction quotation；
Obtain the current time quotation of airline, be calculated the error of prediction quotation；
If error is higher than pre-set threshold value, then the quote data that next airline's real time data is corresponding uses and is manually entered, if error less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Described airborne logistics self-service booking space method also includes reminding step, if error is higher than pre-set threshold value, sends the prompting being manually entered quote data.
Described store step of arranging shipping space online includes:
Course line booking space step, carries out quickly showing quote data in real time according to course line；
Self-service booking space step, shows the quote data of multiple flights in real time.
The above, only presently preferred embodiments of the present invention, it is not intended to limit protection scope of the present invention.Every impartial change done according to present invention and modification, be encompassed by the scope of the claims of the present invention.
Claims (10)
1. an airborne logistics self-service booking space system, described airborne logistics self-service booking space system includes:
ETL module, in real time obtaining, described ETL module includes that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
Add timestamp module, the airline's real time data obtained is added timestamp；
Data processing module, described data processing module is for processing airline's real time data, it is thus achieved that quote data；
Arrange shipping space module online in store, for real-time exhibition quote data with show prediction quotation.
Airborne logistics the most according to claim 1 self-service booking space system, it is characterised in that described data processing module includes:
Storing module, described storage module, for the airline's real time data adding timestamp being stored, obtains airline's historical data；
Prediction module, described prediction module is for according to airline's historical data prediction quote data, obtaining prediction quotation；
Judge module, described judge module, for obtaining the current time quotation of airline, is calculated the error of prediction quotation；
Quote module, described quote module is used for exporting quote data, if error is higher than pre-set threshold value, the quote data that then next airline's real time data is corresponding uses and is manually entered, if error is less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Airborne logistics the most according to claim 2 self-service booking space system, it is characterized in that, described prediction module includes the first prediction module, the second prediction module, the first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation.
Airborne logistics the most according to claim 3 self-service booking space system, it is characterized in that, described prediction module also includes the 3rd prediction module, when the first prediction module or the second prediction module predict that error is higher than arranging threshold values within a period, then the 3rd prediction module replaces the first prediction module or the second prediction module.
Airborne logistics the most according to claim 1 self-service booking space system, it is characterised in that described airborne logistics self-service booking space system also includes:
Prompting module, for being manually entered the prompting of quote data.
6. an airborne logistics self-service booking space method, described airborne logistics self-service booking space method comprises the following steps:
Obtain in real time and include that flight number, port of destination, flight date, type, residue freight space MNQ are by airline's real time data of rank quotation information；
The airline's real time data obtained is added timestamp；
Airline's real time data is processed, it is thus achieved that quote data；
Arranging shipping space module online in store, for real-time exhibition quote data with show prediction quotation, described quote data is for autonomous booking space.
Airborne logistics the most according to claim 6 self-service booking space method, it is characterised in that airline's real time data is carried out process and comprises the following steps:
The airline's real time data adding timestamp is stored, obtains airline's historical data；
According to airline's historical data prediction quote data, obtain prediction quotation；
Obtain the current time quotation of airline, be calculated the error of prediction quotation；
If error is higher than pre-set threshold value, then the quote data that next airline's real time data is corresponding uses and is manually entered, if error less than pre-set threshold value or is not manually entered quotation, then the quote data that next airline's real time data is corresponding uses preset rules output.
Airborne logistics the most according to claim 7 self-service booking space method, it is characterized in that, described prediction module includes the first prediction module, the second prediction module, the first prediction quotation that described first prediction module prediction obtains, the second prediction quotation that described second prediction module prediction obtains, described judge module obtains the error of prediction quotation according to the first prediction quotation and the second prediction price calculation.
Airborne logistics the most according to claim 8 self-service booking space method, it is characterized in that, described prediction module also includes the 3rd prediction module, when the first prediction module or the second prediction module predict that error is higher than arranging threshold values within a period, then the 3rd prediction module replaces the first prediction module or the second prediction module.
Airborne logistics the most according to claim 6 self-service booking space method, it is characterised in that described airborne logistics self-service booking space method also includes reminding step, if error is higher than pre-set threshold value, sends the prompting being manually entered quote data.
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| CN113421046A (en) * | 2021-08-24 | 2021-09-21 | 广州汇图计算机信息技术有限公司 | Be absorbed in cabin system of booking of commodity circulation flight |
| CN113421046B (en) * | 2021-08-24 | 2021-11-02 | 广州汇图计算机信息技术有限公司 | Be absorbed in cabin system of booking of commodity circulation flight |
| CN113849733A (en) * | 2021-09-23 | 2021-12-28 | 广州新丝路信息科技有限公司 | Cabin booking price automatic query method and related equipment |
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