Civil aviation service fee settlement data processing method and device

Abstract

The invention discloses a civil aviation service fee settlement data processing method and device. The method comprises the following steps: receiving latest production data of an airport and an airline company in real time; respectively comparing the latest production data of the airport and the airline with the historically received production data of the airport and the airline to obtain changed production data; wherein the historically received production data of the airport and the airline company are kept consistent after being compared and corrected; and when the generated civil aviation service fee settlement bill exists, adjusting the civil aviation service fee settlement bill by using the changed production data, pushing the adjusted bill to an airport and an airline company, performing artificial intelligence judgment by combining the opinion information of the airport and the airline company on the adjusted bill and the historical bill adjustment dispute record, and sending the adjusted bill to the airline company. And outputting the solution. The method can improve the real-time performance and accuracy of the airport and the airline company to obtain the aircraft shared data, reduces payment refusal, and solves the problem of difficulty in account adjustment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aviation data processing, and particularly relates to a civil aviation service fee settlement data processing method and device. BACKGROUND

[0002] This section is intended to provide background or context to the embodiments of the application recited in the claims. The description herein does not constitute admission of prior art.

[0003] Civil aviation service fee refers to the fee of service items collected by the airport, airline or third-party agent company from the airline that accepts its services. When the aircraft of the airline lands at the airport, services provided by the local airport (or ground service company) will be used, such as parking service, passenger security service, passenger corridor bridge service, etc. After the service occurs, the airport will issue a service fee invoice to the airline.

[0004] In the invoice, the service fee charging items, the charging amount and the charging details are included. The charging of each service fee item is based on different basis. Taking the landing fee as an example, the maximum takeoff weight of the aircraft is an important basis for charging the landing fee. Generally speaking, the larger the maximum takeoff weight of the aircraft, the higher the unit price of the landing fee. In the invoice issued by the airport, the airline will be provided with specific flight and aircraft information related to the landing fee charging, such as aircraft registration number (the unique identifier of the aircraft), aircraft type and maximum takeoff weight, etc.

[0005] After the airline receives the invoice issued by the airport, the invoice will be audited. Taking the audit of the landing fee as an example, the airline will focus on auditing whether the flight information provided by both parties is consistent, whether the aircraft information such as aircraft number, aircraft type and maximum takeoff weight is consistent. During the auditing process, if the airline finds problems, it will handle them according to the agreed payment method. If the agreed payment method is prepayment before receiving the invoice, the airline needs to issue an adjusted invoice to the airport at this time to collect the overpaid fee from the airport. If the agreed payment method is payment after receiving the invoice, the airline will directly refuse to pay the invoice of the airport, and the airport needs to issue a correct amount invoice to the airline again.

[0006] Among the various reasons for the airline's refusal to pay the airport, the incorrect aircraft information provided by the airport accounts for a high proportion, and the number of flight schedules that occur adjustment or refusal to pay and the amount of refusal to pay are both large. This leads to a long airport remittance cycle, and the airport and the airline both invest a lot of manpower, time and communication costs in refusal to pay and adjustment.

[0007] The main reason for the inconsistency of the aircraft information between the airport and the airline is information difference. In the prior art, the airport mainly relies on the mail or fax sent by the foreign airlines to each airport to obtain the aircraft data of the foreign airlines, or the airport actively contacts the foreign airlines to obtain the update of the aircraft data. However, this mode has low communication efficiency. In the prior art, the airport and the airline share data through the form of block chain. However, the block chain has the characteristics of non-tamperability, which makes it difficult to correct the error data or outdated data. For some data with high real-time requirements, the block confirmation mechanism of the block chain cannot meet the real-time requirements.

[0008] Therefore, the existing civil aviation service fee settlement data processing has the defects of poor real-time performance, poor accuracy and difficult account adjustment. SUMMARY

[0009] The embodiment of the application provides a civil aviation service fee settlement data processing method, which is used for improving the real-time performance and accuracy of the aircraft shared data obtained by the airport and the airline, reducing the refusal to pay, and solving the problem of difficult account adjustment. The method comprises the following steps:

[0010] Real-time receiving of the latest production data of the airport and the airline; the production data comprises a plurality of data generated in the air transportation;

[0011] Comparing the latest production data of the airport and the airline with the historical production data of the airport and the airline received, to obtain the changed production data; wherein the historical production data of the airport and the airline received is consistent after comparison and correction; the changed production data comprises the changed production data of the airport or the changed production data of the airline;

[0012] When the civil aviation service fee settlement bill is generated, the changed production data is used to adjust the civil aviation service fee settlement bill, to obtain an adjusted bill;

[0013] The adjusted bill is pushed to the airport and the airline, and the opinion information of the airport and the airline on the adjusted bill is received;

[0014] The opinion information and the adjusted bill are input into a trained artificial intelligence model, and a solution is output; the artificial intelligence model is trained by using the historical bill adjustment dispute record and the solution in advance.

[0015] The embodiment of the application also provides a civil aviation service fee settlement data processing device, which is used for improving the real-time performance and accuracy of the aircraft shared data obtained by the airport and the airline, reducing the refusal to pay, and solving the problem of difficult account adjustment. The device comprises the following steps:

[0016] The data receiving module is configured to receive real-time production data of the airport and the airline company; the production data includes various data that generates cost in air transportation;

[0017] The data change monitoring module is configured to compare the real-time production data of the airport and the airline company with historical production data of the airport and the airline company, and obtain changed production data; the historical production data of the airport and the airline company is consistent after comparison and correction; the changed production data includes changed production data of the airport or changed production data of the airline company.

[0018] The account adjustment processing module is configured to adjust the civil aviation service fee settlement bill by using the changed production data when the civil aviation service fee settlement bill is generated, and obtain an adjusted bill.

[0019] The dispute processing module is configured to push the adjusted bill to the airport and the airline company, receive opinion information of the airport and the airline company on the adjusted bill, input the opinion information and the adjusted bill into a trained artificial intelligence model, and output a solution; the artificial intelligence model is trained by using historical bill adjustment dispute records and solutions in advance.

[0020] The embodiment of the application also provides a computer device, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor; the processor implements the civil aviation service fee settlement data processing method when executing the computer program.

[0021] The embodiment of the application also provides a computer readable storage medium, which stores a computer program; the computer program is executed by a processor to implement the civil aviation service fee settlement data processing method.

[0022] The embodiment of the application also provides a computer program product, which comprises a computer program; the computer program is executed by a processor to implement the civil aviation service fee settlement data processing method.

[0023] In the embodiment of the application, the real-time production data of the airport and the airline company is compared with the historical production data of the airport and the airline company to obtain changed production data; the changed production data can assist the airport and the airline company to obtain timely and accurate aircraft sharing data; then the changed production data is used to adjust the civil aviation service fee settlement bill, the account adjustment is automatically completed, the bill is pushed to the airport and the airline company, the artificial intelligence judgment processing is performed according to the opinion information of the airport and the airline company, and a solution that satisfies both parties is generated, so that the account adjustment difficulty is solved and the refusal to pay is reduced. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the accompanying drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, the accompanying drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor. In the drawings:

[0025] Figure 1 A flowchart of the civil aviation service fee settlement data processing method in the embodiments of the present application;

[0026] Figure 2 A specific example diagram of the civil aviation service fee settlement data processing method in the embodiments of the present application;

[0027] Figure 3 A schematic diagram of production data uploading in the embodiments of the present application;

[0028] Figure 4 A schematic diagram of production data comparison in the embodiments of the present application;

[0029] Figure 5 A schematic diagram of service fee settlement data processing of aircraft information change in the embodiments of the present application;

[0030] Figure 6 A schematic diagram of adjusting the bill calculation in the embodiments of the present application;

[0031] Figure 7 A schematic diagram of the civil aviation service fee settlement data processing device in the embodiments of the present application. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present application more clear, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings. Herein, the schematic embodiments of the present application and their descriptions are used to explain the present application, but not as a limitation of the present application.

[0033] The acquisition, transmission, storage, use, processing and the like of data in the technical solutions of the present application all comply with the relevant provisions of national laws and regulations.

[0034] At present, in the civil aviation service fee settlement data processing, the aircraft related data is not updated in time, and it is often found that the account is rejected when it is opened, which increases the time and labor cost of auditing and adjusting the account. The aircraft information of foreign airlines to be contacted, published, newly built and changed in the multiple airports of the flight route has low efficiency. In order to solve the defects in the prior art, the present application also provides a civil aviation service fee settlement data processing method.

[0035] Figure 1FIG. 1 is a flow chart of a method for processing civil aviation service fee settlement data according to an embodiment of the present invention. Figure 1 As shown, the method includes:

[0036] Step 101: Receive the latest production data from airports and airlines in real time; the production data includes various data on costs incurred in air transportation;

[0037] Step 102: Compare the latest production data of the airport and airline with the production data of the airport and airline received in the past to obtain changed production data; wherein the production data of the airport and airline received in the past remain consistent after comparison and correction; the changed production data includes the changed production data of the airport or the changed production data of the airline;

[0038] Step 103: If a generated civil aviation service fee settlement bill exists, the civil aviation service fee settlement bill is adjusted using the changed production data to obtain an adjusted bill.

[0039] Step 104: Push the adjusted bill to the airport and airline, and receive the airport and airline's opinions on the adjusted bill;

[0040] Step 105: Input the opinion information and the adjusted bill into a trained artificial intelligence model and output a solution; the artificial intelligence model is pre-trained using historical bill adjustment dispute records and solutions.

[0041] The following is a detailed explanation of the civil aviation service fee settlement data processing method in an embodiment of the present invention.

[0042] In order to reduce the refusal and adjustment of bills due to inconsistent aircraft information during the service fee settlement process between airports and airlines (hereinafter referred to as airlines), an aircraft settlement data sharing platform is established for airports and airlines in an embodiment of the present invention to solve the most frequently disputed data inconsistency problem during the service fee settlement process between airports and airlines, facilitate the sharing of unified and standard aircraft data by airports and airlines, and any party can promptly notify all parties of any update on aircraft information.

[0043] By establishing an aircraft settlement data sharing platform, airlines can update aircraft information in a timely manner before opening accounts. At the same time, airports will also obtain the latest aircraft settlement data before opening accounts, improving the accuracy of opening account data. This can effectively reduce the frequent refusal to pay and adjustment problems caused by settlement data information differences between airports and airlines during the settlement process.

[0044] The civil aviation service fee settlement data processing method in the embodiment of the application is implemented based on an aircraft settlement data sharing platform. The platform can have an infrastructure layer, a data acquisition and access layer, a data storage and management layer, and a data processing and analysis layer. The infrastructure layer includes hardware resources and software resources, and can have a cloud platform providing elastic computing, storage, and network services, and a containerized component, middleware (message queue, cache), and the like to realize resource scheduling. The data acquisition and access layer is mainly used to acquire data through a streaming data access mode, API docking, user-side active uploading, and the like. The data storage and management layer is used to store and manage data. The data processing and analysis layer is mainly used to compare the acquired data, generate bills, adjust bills, solve disputes, and the like.

[0045] Figure 2 As shown in a specific example diagram of the civil aviation service fee settlement data processing method in the embodiment of the application, Figure 2 a set of standard aircraft information settlement data is provided for both parties when first used in the aircraft settlement data sharing center. Figure 2 In the embodiment of the application, the airline of the aircraft submits an application for new aircraft information, modification of aircraft information, and termination of aircraft information, and uploads related proof documents such as factory information of the aircraft. The airport completes the approval of the aircraft information. After the approval is passed, the aircraft information will come into effect. Both the airport and the airline can check the latest aircraft information.

[0046] Based on the aircraft settlement data sharing platform, the airline can timely submit an application for changing the aircraft information, and after being confirmed by the airport, the aircraft settlement data will be uniformly updated, thereby realizing the establishment of a unified aircraft settlement data sharing library, and enabling the airport to timely obtain accurate and reliable accounting basis.

[0047] Through analysis of historical data, taking 20 bills (about 150 refused payment detail data) of a certain airline to a certain airport in the past two years as an example, 90% of the reasons for refusal to pay are due to inconsistent data of the maximum takeoff weight of the two parties. Through implementation of the embodiment of the application, the probability of refusal to pay by the airline can be greatly reduced.

[0048] In the embodiment, the aircraft settlement data sharing platform receives the latest production data of the airport and the airline in real time. The production data includes various data generated in air transportation, such as aircraft maximum takeoff weight, takeoff times, and other takeoff fee related data, aircraft parking time, and other parking fee related data, passenger throughput, and other passenger service fee related data, security fee, and passenger bridge fee related data, check-in counter and ground service charging data, and the like.

[0049] In an embodiment, the real-time receiving of the latest production data of the airport and the airline company can include: receiving the latest production data of the airport and the airline company through a data interface docking transmission or a file scanning manner; wherein when the file scanning, a method combining long short-term memory network and optical character recognition is used for data extraction.

[0050] The production data used for settlement of the airport and the airline company involves data of air traffic control, airport, oil, catering, ground service, etc., and paper bills, scanned copies, PDF, excel, pictures and other various formats. The entry of these settlement bills often requires a large amount of manual entry and checking work, which not only consumes a long time and costs high, but also is prone to errors. In order to solve the above problems, in this example, the artificial intelligence + optical character recognition (OCR) technology is used to realize intelligent data extraction and integration, an AI model is formed by combining long short-term memory network and optical character recognition, through the training of the AI model, automatic scanning and recognition of bills of different formats from different suppliers are realized, the data is automatically cleaned and checked, and is converted into a unified standardized format and stored in the system, so as to realize the data matching of the opening account party and the party to be opened account and prepare the data.

[0051] Figure 3 The schematic diagram of production data uploading in the embodiment of the present application is shown as Figure 3 Before the opening of the account, the airport and the airline company can also upload their own production data independently, based on the file import function in the user interface, determine the file type, the company, the occurrence place airport, etc. Upload the file, provide an editable note explanation box, download the production data template, view the imported file, etc.

[0052] In an embodiment, before the real-time receiving of the latest production data of the airport and the airline company, the method can further include:

[0053] Receiving the production data of the airport and the airline company;

[0054] Comparing whether the production data of the airport and the airline company is consistent by using the preset keyword;

[0055] When consistent, generating a civil aviation service fee settlement bill by using the production data;

[0056] When inconsistent, prompting the inconsistent production data to the airport and the airline company, receiving the adjusted production data of the airport and / or the airline company which is consistent with the airport and the airline company, and generating a civil aviation service fee settlement bill by using the production data of the airport and the airline company which is consistent.

[0057] For example, the production data of the airport and the airline are uploaded to the shared platform before the account opening, and the production data of both parties is compared automatically according to the preset keywords such as flight date, flight number and aircraft registration number. If the production data of both parties is consistent, the account opening bill is generated; if the production data of both parties is inconsistent, the inconsistent data items of both parties are prompted, the problem is found before the account opening, and the settlement data is corrected in time to avoid the refusal of payment and adjustment after the account opening.

[0058] After the platform receives the latest production data of the receiving airport and the airline, the data of both parties is automatically compared according to the preset keywords such as flight number, flight date and aircraft registration number, and the comparison result is generated, as shown in Figure 4 Figure 4 The figure shows the production data comparison in the embodiment of the application. The user interface shows the specific dates of the flight date-start and the flight date-end. The user can check the options of the last week, the last half month and the last month. The user interface shows the information of the carrier and the airport. The main display shows the specific comparison content of the flight mismatch, the production quantity mismatch and the complete match.

[0059] In an embodiment, after receiving the latest production data of the airport and the airline in real time, the method can further include: identifying abnormal values in the production data by a machine learning method, and outputting an abnormal value identification result.

[0060] In the embodiment, the machine learning method is used to identify data that deviates significantly from the historical pattern. For example, when the total weight of the aircraft and other settlement data is significantly higher than the historical average normal value, the platform can quickly find potential errors and prompt the user to correct them.

[0061] In step 102, the latest production data of the airport and the airline is compared with the historical production data of the airport and the airline received, to obtain the changed production data; wherein the historical production data of the airport and the airline received is consistent after comparison and correction; the changed production data includes the changed production data of the airport or the changed production data of the airline.

[0062] In the embodiment of the application, the data of the airport and the airline is ensured to be consistent before the account opening, and the data change is detected in real time after the account opening, and the bill is adjusted by the changed data.

[0063] ​In an embodiment, the historical received airport and airline production data are consistent after comparison and correction, which can include: using the production data of the airport and airline, and the third-party data source for intelligent cross comparison to determine whether there is a difference in the production data of the airport and airline; the third-party data source includes one or any combination of weather data, flight plan data, flight dynamic data, ACDM (Airport Collaborative Decision Making, ACDM, data in the airport collaborative decision making system) data; when it is determined that there is a difference in the production data of the airport and airline, the user is prompted to exist The data identifier of the difference.

[0064] For example, through intelligent cross verification, AI is used to automatically compare the differences between the billing party's bill and the billing party's own records (such as flight data, passenger data), third-party data sources (such as weather data to verify the reason for the standby), help users quickly locate differences, and preliminarily analyze the reasons for the differences, so as to help the billing parties find problems before billing, improve the accuracy of billing data, and reduce subsequent possible refusal and adjustment.

[0065] In step 103, when the generated civil aviation service fee settlement bill exists, the civil aviation service fee settlement bill is adjusted using the changed production data to obtain an adjusted bill.

[0066] In an embodiment, adjusting the civil aviation service fee settlement bill using the changed production data to obtain an adjusted bill can include:

[0067] Using the changed production data to calculate each item of expense, comparing the each item of expense with the generated civil aviation service fee settlement bill to obtain difference data, and using the difference data to generate an adjusted bill containing the latest adjusted expenses.

[0068] Figure 5 For the service fee settlement data processing schematic diagram of the aircraft information change in the embodiment of the application, refer to Figure 5 Taking the aircraft information change as an example, the service fee settlement data processing flow is described. The aircraft settlement data sharing platform has a calculation engine, which stores the billing agreement of the billing parties and the calculation logic of each charging item into the calculation engine, and monitors the change of the aircraft information through the calculation engine. Once the aircraft information changes, the calculation logic of the charging item will be automatically triggered according to the latest aircraft settlement data and the agreed billing agreement of the billing parties.

[0069] Figure 5The change of the aircraft information is submitted by the airline to the airport by submitting an aircraft change (add, modify, disable) application, the airport approves the aircraft change application, and after the approval, an aircraft information update instruction is initiated, and the calculation engine monitors the change of the aircraft information. When the calculation engine monitors the change of the aircraft information, the calculation logic is called to calculate the amount of the payment by using the charging agreement and the original bill, an airline account adjustment application is initiated, and finally the airline confirms the account adjustment application and pays the bill.

[0070] The fee calculation process of the calculation engine introduces a rule engine and machine learning to realize intelligent calculation and checking of the fees.

[0071] Based on the embedded protocol rules (automatically configured after AI analysis) and the unified format of the settlement data of the parties prepared in the previous step, when the change of the settlement data item in the aircraft information is monitored, the service fees such as the landing fee, the parking fee, the passenger security fee and the route fee are automatically settled. The opening account amount of each item is calculated and compared with the original opening account amount, and the difference part automatically generates an adjustment bill containing the latest adjustment amount. AI can handle complex calculation scenarios such as step rate, time discount, minimum charge and preferential agreement.

[0072] Figure 6 The adjustment bill calculation schematic diagram in the embodiment of the application is shown in FIG. 1. Figure 6 As shown in FIG. 1, the calculation engine automatically monitors and checks whether the opening account total weight of the aircraft and the latest total weight stored in the aircraft sharing center are consistent, and when inconsistency occurs, the calculation logic is automatically triggered to automatically calculate the account adjustment amount and initiate an adjustment application, and the airline is notified to confirm and submit a bill adjustment application to the airport in time. Figure 6 The adjustment bill can be single adjustment or batch adjustment, and the aircraft registration number, aircraft model, opening account amount, latest total weight, flight number, landing time, take-off time, carrier, fee name, quantity, amount, adjustment amount, adjustment type and the like are provided during the adjustment, and the editable options are provided.

[0073] For the airport, the embodiment of the application can effectively improve the accuracy of the opening account data, reduce the risks of the airport such as untimely account adjustment and collection, long bill collection period, cost increase and bad debts. For the airline, not only the airline can update the aircraft settlement data in time, but also an automatic account adjustment mechanism is provided, which effectively reduces the bill auditing cost of the airline. For the opening account parties, the establishment of the settlement data sharing platform provides a unified, standardized, safe and reliable and convenient settlement information sharing channel for the opening account parties, and a complete settlement data confirmation before opening account and automatic adjustment process after opening account is established.

[0074] Step 104, push the adjustment bill to the airport and the airline, and receive the opinion information of the airport and the airline on the adjustment bill.

[0075] For example, the two parties can provide evidence related attachments, dispute communication content, desired results, etc.

[0076] Step 105, input the opinion information and the adjusted bill into the trained artificial intelligence model, and output a solution; the artificial intelligence model is trained in advance by using historical bill adjustment dispute records and solutions.

[0077] After generating the adjusted bill, the embodiment of the present application supports intelligent dispute resolution. By using an artificial intelligence model using NLP technology (recurrent neural network, BERT model, etc.) to analyze the dispute communication records of the two parties in the shared platform for the adjusted bill, the core of the dispute is quickly located, such as inconsistent settlement data, inconsistent flights, inconsistent charging agreement rules, and calculation errors, etc. According to the located dispute points, relevant evidence is automatically extracted, including but not limited to original attachments, communication content, agreement fee calculation formula, based on historical similar dispute solutions and rule library, a solution that can be accepted by both parties is recommended, a standardized dispute resolution proposal is generated, and the two parties are notified, facilitating the two parties to confirm the dispute resolution solution, thereby achieving the purpose of shortening the dispute resolution period and reducing the solution cost.

[0078] The above business process can help the two parties to realize automatic account adjustment processing after billing, and help the two parties to reduce the labor cost invested in the bill adjustment business.

[0079] As shown above, the embodiment of the present application has the following technical effects:

[0080] 1. The airline can conveniently establish and update the aircraft information, and synchronize it to all airports;

[0081] 2. A unified, standardized, safe, reliable and convenient settlement information sharing channel is established, and the airport obtains timely and accurate shared data sources of all aircraft of all airlines;

[0082] 3. The production data of the two parties is compared in advance before billing, problems are found in advance, and the refusal to pay is reduced.

[0083] 4. The adjustment caused by the change of the aircraft information can be automatically completed;

[0084] 5. The artificial intelligence model is used to solve the adjustment dispute, and the solution satisfactory to both parties is automatically output.

[0085] In the embodiment of the present application, a civil aviation service fee settlement data processing device is also provided, as described in the following embodiment. Since the principle of solving the problem of the device is similar to that of the civil aviation service fee settlement data processing method, the implementation of the device can be referred to the implementation of the civil aviation service fee settlement data processing method, and the repeated parts will not be described again.

[0086] Figure 7 Fig. 1 is a schematic diagram of a civil aviation service fee settlement data processing device according to an embodiment of the present application; Figure 7 As shown in the figure, the device 700 comprises:

[0087] a data receiving module 701 configured to receive real-time production data of an airport and an airline; the production data comprises various data that generates fees in air transportation;

[0088] a data change monitoring module 702 configured to compare the production data of the airport and the airline with historical production data of the airport and the airline, respectively, to obtain changed production data; the historical production data of the airport and the airline is consistent after comparison and correction; the changed production data comprises changed production data of the airport or changed production data of the airline;

[0089] an account processing module 703 configured to adjust a civil aviation service fee settlement account when the account has been generated, using the changed production data to adjust the civil aviation service fee settlement account to obtain an adjusted account;

[0090] a dispute processing module 704 configured to push the adjusted account to the airport and the airline, receive opinion information of the airport and the airline on the adjusted account, and input the opinion information and the adjusted account into a trained artificial intelligence model to output a solution; the artificial intelligence model is trained in advance using historical account adjustment dispute records and solutions.

[0091] In an embodiment, the device further comprises:

[0092] an account pre-generation module configured to receive production data of the airport and the airline before the data receiving module 701 receives real-time production data of the airport and the airline, compare whether the production data of the airport and the airline is consistent using a preset keyword, generate a civil aviation service fee settlement account using the production data when the production data of the airport and the airline is consistent, and prompt the airport and the airline of inconsistent production data when the production data of the airport and the airline is inconsistent, receive consistent production data of the airport and the airline adjusted by the airport and / or the airline, and generate a civil aviation service fee settlement account using the consistent production data of the airport and the airline.

[0093] In an embodiment, the data receiving module 701 is specifically configured to:

[0094] receive real-time production data of the airport and the airline through data interface docking transmission or file scanning; when file scanning, data extraction is performed using a combination of a long short-term memory network and optical character recognition.

[0095] In an embodiment, the device further comprises:

[0096] An abnormality identification module is configured to identify abnormal values in the production data of the airport and the airline company by using a machine learning method after the data receiving module 701 receives the latest production data of the airport and the airline company in real time, and output an abnormal value identification result.

[0097] In an embodiment, the historical production data of the airport and the airline company are consistent after comparison and correction, and include:

[0098] The production data of the airport and the airline company are compared with third-party data sources to determine whether there is a difference in the production data of the airport and the airline company, and the third-party data sources include one or any combination of weather data, flight plan data, flight dynamic data, and ACDM data.

[0099] When it is determined that there is a difference in the production data of the airport and the airline company, the user is prompted with the data identifier of the difference.

[0100] In an embodiment, the account processing module 703 is specifically configured to:

[0101] The changed production data is used to calculate each item of expense, the generated civil aviation service fee settlement bill is compared with the each item of expense, difference data is obtained, and the difference data is used to generate an adjusted bill containing the latest adjusted expenses.

[0102] The embodiment of the present application also provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the civil aviation service fee settlement data processing method when executing the computer program.

[0103] The embodiment of the present application also provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the civil aviation service fee settlement data processing method.

[0104] The embodiment of the present application also provides a computer program product, which includes a computer program, and the computer program is executed by a processor to implement the civil aviation service fee settlement data processing method.

[0105] In the embodiment of the present application, the latest production data of the airport and the airline company is received in real time, and the production data of the airport and the airline company received historically is compared to obtain changed production data, which can assist the airport and the airline company to obtain timely and accurate aircraft sharing data, and then the changed production data is used to adjust the civil aviation service fee settlement bill, automatically complete the account adjustment, and push to the airport and the airline company, and the artificial intelligence judgment processing is performed according to the opinion information of the airport and the airline company, to generate a solution that both parties are satisfied with, thereby solving the problem of account adjustment difficulty and reducing the refusal to pay.

[0106] Those skilled in the art will appreciate that embodiments of the present application can be provided as methods, systems, or computer program products. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage media, etc.) embodying computer-readable program code.

[0107] The present application is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 The means for implementing each flow or multiple flows and / or blocks Figure 1 The means for implementing each flow or multiple flows and / or blocks

[0108] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a product including instruction means, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The means for implementing each flow or multiple flows and / or blocks Figure 1 The means for implementing each flow or multiple flows and / or blocks

[0109] These computer program instructions can also be loaded into a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable data processing apparatus to produce a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus provide a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 The means for implementing each flow or multiple flows and / or blocks Figure 1 Figure 1steps of the functions specified in the one or more blocks.

[0110] The above-described embodiments of the present application are merely intended to further explain the purpose, technical solutions and advantages of the present application, and are not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A civil aviation service charge settlement data processing method, characterized by, The method comprises the following steps: receiving the latest production data of the airport and the airline in real time; the production data comprises a plurality of data generated in the air transportation; comparing the latest production data of the airport and the airline with the historical production data of the airport and the airline respectively to obtain changed production data; the historical production data of the airport and the airline is consistent after comparison and correction; the changed production data comprises changed production data of the airport or changed production data of the airline; adjusting the civil aviation service fee settlement bill by using the changed production data to obtain an adjusted bill when the civil aviation service fee settlement bill has been generated; pushing the adjusted bill to the airport and the airline and receiving the opinion information of the airport and the airline on the adjusted bill; inputting the opinion information and the adjusted bill into the trained artificial intelligence model to output a solution; the artificial intelligence model is trained by using historical bill adjustment dispute records and solutions in advance.

2. The method of claim 1, wherein, Before the step of receiving the latest production data of the airport and the airline in real time, the method further comprises the following steps: receiving the production data of the airport and the airline; comparing whether the production data of the airport and the airline is consistent by using a preset keyword; generating a civil aviation service fee settlement bill by using the production data when the production data is consistent; prompting the inconsistent production data to the airport and the airline when the production data is inconsistent, receiving the adjusted production data of the airport and the airline which is consistent with each other, and generating a civil aviation service fee settlement bill by using the adjusted production data of the airport and the airline.

3. The method of claim 1, wherein, The step of receiving the latest production data of the airport and the airline in real time comprises the following steps: receiving the latest production data of the airport and the airline by data interface connection transmission or file scanning; when file scanning, data extraction is performed by using a long short-term memory network and an optical character recognition method.

4. The method of claim 1, wherein, After the step of receiving the latest production data of the airport and the airline in real time, the method further comprises the following steps: performing abnormal value identification on the production data by using a machine learning method to output an abnormal value identification result.

5. The method of claim 1, wherein, The step of keeping the historical production data of the airport and the airline consistent after comparison and correction comprises the following steps: performing intelligent cross comparison on the production data of the airport and the airline and a third-party data source to determine whether there is a difference between the production data of the airport and the airline; the third-party data source comprises one or any combination of weather data, flight plan data, flight dynamic data and airport collaborative decision-making (ACDM) data; prompting the user to the data identifier of the difference when it is determined that there is a difference between the production data of the airport and the airline.

6. The method of claim 1, wherein, The step of adjusting the civil aviation service fee settlement bill by using the changed production data to obtain an adjusted bill comprises the following steps: calculating each item of expense by using the changed production data, comparing the each item of expense with the generated civil aviation service fee settlement bill to obtain difference data, and generating an adjusted bill containing the latest adjusted expense by using the difference data.

7. A civil aviation service charge settlement data processing device characterized by comprising: The method comprises the following steps: a data receiving module is configured to receive the latest production data of the airport and the airline in real time; the production data comprises a plurality of data generated in the air transportation; The data change monitoring module is configured to compare the latest production data of the airport and the airline with historical received production data of the airport and the airline respectively to obtain changed production data, wherein the historical received production data of the airport and the airline are consistent after comparison and correction; and the changed production data includes changed production data of the airport or changed production data of the airline. The account adjustment processing module is configured to adjust the civil aviation service fee settlement bill using the changed production data when the civil aviation service fee settlement bill has been generated to obtain an adjusted bill. The dispute processing module is configured to push the adjusted bill to the airport and the airline, receive opinion information of the airport and the airline on the adjusted bill, and input the opinion information and the adjusted bill into a trained artificial intelligence model to output a solution; and the artificial intelligence model is trained using historical bill adjustment dispute records and solutions in advance.

8. The apparatus of claim 7, wherein, Further comprising: The bill pre-generation module is configured to receive production data of the airport and the airline before the data receiving module receives the latest production data of the airport and the airline in real time. The preset keywords are used to compare whether the production data of the airport and the airline are consistent; when consistent, the civil aviation service fee settlement bill is generated using the production data; and when inconsistent, the inconsistent production data is prompted to the airport and the airline, the consistent production data of the airport and the airline after adjustment is received, and the civil aviation service fee settlement bill is generated using the consistent production data of the airport and the airline.

9. The apparatus of claim 7, wherein, The data receiving module is specifically configured to: The latest production data of the airport and the airline is received through a data interface connection transmission or a file scanning mode; wherein the data is extracted using a combination of a long short-term memory network and optical character recognition when file scanning.

10. The apparatus of claim 7, wherein, Further comprising: The abnormality identification module is configured to identify abnormal values in the production data using a machine learning method after the data receiving module receives the latest production data of the airport and the airline in real time, and output abnormal value identification results.

11. The apparatus of claim 7, wherein, The consistent historical received production data of the airport and the airline after comparison and correction includes: Intelligent cross comparison is performed using the production data of the airport and the airline and a third-party data source to determine whether there is a difference in the production data of the airport and the airline; and the third-party data source includes one or any combination of weather data, flight plan data, flight dynamic data, and airport collaborative decision-making (ACDM) data. When it is determined that there is a difference in the production data of the airport and the airline, the user is prompted with a data identifier of the difference.

12. The apparatus of claim 7, wherein, The account adjustment processing module is specifically configured to: The changed production data is used to calculate each item of expense, the each item of expense is compared with the generated civil aviation service fee settlement bill to obtain difference data, and the adjusted bill containing the latest adjusted expenses is generated using the difference data.

13. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to implement the method of any one of claims 1 to 6.

14. A computer-readable storage medium, characterized in that, The computer readable storage medium stores a computer program, and the computer program is executed by the processor to implement the method of any one of claims 1 to 6.

15. A computer program product, characterised in that, The computer program product comprises a computer program which, when executed by a processor, implements the method of any one of claims 1 to 6.

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