WO2023130617A1 - 一种航班锁舱时机的评价方法及装置 - Google Patents

一种航班锁舱时机的评价方法及装置 Download PDF

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WO2023130617A1
WO2023130617A1 PCT/CN2022/088137 CN2022088137W WO2023130617A1 WO 2023130617 A1 WO2023130617 A1 WO 2023130617A1 CN 2022088137 W CN2022088137 W CN 2022088137W WO 2023130617 A1 WO2023130617 A1 WO 2023130617A1
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increment
locked
booking
class
cabin
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PCT/CN2022/088137
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English (en)
French (fr)
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张毅
梁巍
周榕
陈思
李晶晶
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中国民航信息网络股份有限公司
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Publication of WO2023130617A1 publication Critical patent/WO2023130617A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283—Price estimation or determination
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry

Definitions

  • the invention relates to the technical field of data processing, in particular to a method and device for evaluating the timing of cabin lock on a flight.
  • the core algorithm subsystem of the revenue management system of the airline is based on the input historical sample data and information, through prediction and optimization of the core algorithm, and outputs the value of the designated non-departing flight protection seat.
  • the input data required for forecasting are mainly the historical sample data with the inventory data of the designated departed flight and the historical sample flight with the departed flight. If the historical sample data is distorted due to various reasons or the prediction accuracy decreases due to changes in the market environment, or even the result with the value of the protected seat as the final output cannot be used, it is necessary to perform cabin lock and related operations.
  • this application provides a method and device for evaluating the timing of cabin lockout, which can evaluate the timing of cabin lockout for flights that perform cabin lock operations, so as to determine whether the timing of cabin lockout is appropriate, and prompt airline revenue managers to reset Lock cabin rules or use the revenue management system to directly execute the cabin switch operation according to the judgment results, which fills the gap of similar domestic products and improves the efficiency of airline revenue management.
  • the first aspect of the present invention discloses a method for evaluating the timing of flight lock, including:
  • the locked class booking revenue increment and the benchmark cabin booking revenue increment of the target flight are determined; wherein, the locked class booking revenue increment is: the target flight’s Increment of booking income of the locked class compared with the previous time point when the locked class is locked; the increment of the benchmark class booking revenue is: the upper class of the locked class in the target flight is in the locked class Increment of revenue from seat reservations between the time point and the next time point;
  • the evaluation result of the lockout opportunity of the target flight is obtained; wherein, the evaluation result of the lockout opportunity includes: Either early, the timing of the lockout is appropriate, or the timing of the lockout is too late.
  • the above-mentioned method for evaluating the timing of flight locks determines the incremental booking income of the locked class of the target flight, including:
  • the above-mentioned method for evaluating the timing of flight lock-up determines the incremental booking revenue of the benchmark class of the target flight, including:
  • the benchmark cabin booking revenue increment is obtained.
  • the above-mentioned method for evaluating the timing of lockout of a flight is based on the comparative analysis of the revenue increment of the locked class booking and the incremental revenue of the benchmark class booking, to obtain the evaluation result of the lockout opportunity of the target flight, including :
  • the evaluation result of the cabin lock timing is that the cabin lock timing is too early;
  • the evaluation result of the timing of the lock is that the timing of the lock is appropriate
  • the evaluation result of the cabin locking timing is that the cabin locking timing is too late.
  • the above-mentioned method for evaluating the timing of lockout of a flight is based on the comparative analysis of the revenue increment of the locked class booking and the incremental revenue of the benchmark class booking, to obtain the evaluation result of the lockout opportunity of the target flight, including :
  • the calculation is performed using a preset evaluation formula to obtain a calculation result
  • the lockout timing evaluation result is that the lockout timing is too late
  • the evaluation result of the lockout opportunity is that the lockout opportunity is too early.
  • the second aspect of the present invention discloses a device for evaluating the timing of flight lock, including:
  • the determination unit is used to determine the locked class booking revenue increment and the benchmark class booking revenue increment of the target flight after the target flight is locked; wherein, the locked class booking revenue increment is: The increment of the seat reservation revenue of the locked class of the target flight at the lock time point compared with the previous time point; the benchmark class booking revenue increment is: the previous locked class of the target flight Increment of revenue from seats booked at the lock-up time point and the next time point;
  • An evaluation unit configured to perform a comparative analysis based on the increment of booking income of the locked class and the increment of booking revenue of the benchmark class, to obtain an evaluation result of the timing of the lockout of the target flight; wherein, the evaluation result of the timing of the lockout includes : Any one of too early lock timing, proper lock timing and too late lock timing.
  • the evaluation device for the above-mentioned flight lock opportunity the evaluation unit is specifically used for:
  • the evaluation result of the cabin lock timing is that the cabin lock timing is too early;
  • the evaluation result of the timing of the lock is that the timing of the lock is appropriate
  • the evaluation result of the cabin locking timing is that the cabin locking timing is too late.
  • the evaluation device for the above-mentioned flight lock opportunity includes:
  • a calculation unit configured to use a preset evaluation formula to perform calculations based on the locked class booking revenue increment and the benchmark class booking revenue increment to obtain a calculation result
  • the evaluation subunit is used to obtain the evaluation result of the locking opportunity based on the calculation result
  • the evaluation device for the above-mentioned flight lock opportunity the evaluation subunit is specifically used for:
  • the lockout timing evaluation result is that the lockout timing is too late
  • the evaluation result of the lockout opportunity is that the lockout opportunity is too early.
  • the method for evaluating the timing of flight lockout includes: after performing lock operation on the target flight, determining the increment of booking income of the locked class and the increment of booking income of the benchmark class of the target flight; wherein, the booking of the locked class Income increment is: the increase of the locked class of the target flight at the lock time point compared with the previous time point.
  • the revenue increment of the benchmark class booking is: Increment of seat booking income between the locked cabin time point and the next time point; based on the comparison and analysis of the locked cabin cabin booking income increment and the benchmark cabin cabin booking revenue increment, the evaluation result of the lock cabin timing of the target flight is obtained;
  • the evaluation results of the cabin timing include: any one of the timing of the cabin locking is too early, the timing of the cabin locking is appropriate, and the timing of the cabin locking is too late; Determine whether the timing of lock-out is appropriate to prompt airline revenue management personnel to reset the lock-up rules or use the revenue management system to directly perform cabin switch operations based on the judgment results, filling the gaps in similar domestic products and improving the efficiency of airline revenue management. efficiency.
  • Fig. 1 is the flow chart of the evaluation method of a kind of flight locking opportunity provided by the embodiment of the present application;
  • Fig. 2 is a flow chart of determining the revenue increment of locked class booking provided by the embodiment of the present application
  • Fig. 3 is a flow chart of determining the revenue increment of the benchmark cabin booking provided by the embodiment of the present application.
  • Fig. 4 is a flow chart of the evaluation results of a locked cabin opportunity provided by the embodiment of the present application.
  • FIG. 5 is a structural schematic diagram of a lockout opportunity evaluation result provided by an embodiment of the present application.
  • FIG. 6 is a schematic structural diagram of an evaluation unit provided in an embodiment of the present application.
  • the revenue management system is a system that automatically manages the inventory of non-departure flights based on the forecast and optimization model using flight plan, inventory, departure and freight rate data.
  • the revenue management system can generally be divided into a basic version and an upgraded version. Among them, compared with the upgraded version, the basic version supports more basic and single functions.
  • This application provides a method for judging the timing of flight lockout, which can evaluate the lockout timing of flights that perform lockout operations, so as to determine whether the lockout timing is appropriate, and prompt airline revenue managers to reset lockout rules or use revenue
  • the management system directly executes the cabin switch operation according to the judgment results, which fills the gap of similar domestic products and improves the efficiency of airline revenue management.
  • the method for judging the timing of flight lock may include the following steps:
  • the revenue increment of the locked class booking is: the increase of the locked class of the target flight at the lock time point compared with the previous time point;
  • the benchmark class booking revenue increment is: the locked class of the target flight Increment of revenue from seats booked at the lock-up time point and the next time point for the upper class of class.
  • the target flight can be a non-departure flight of the designated airline; of course, it can also be a departure flight, which can be determined according to the specific application environment and user needs, all of which belong to the scope of protection of this application.
  • S200 Respectively acquire the price and the booked quantity of the locked class in the target flight at the locked time point and the previous time point corresponding to the class.
  • the price and the reserved amount of the locked class in the target flight at the locked time point and the previous time point corresponding to the locked class can be obtained through the airline control system or the revenue management system.
  • the class price and reserved amount of the target flight are generally collected once per collection cycle, and the class price and reserved amount collected each time may be different.
  • the cabin lock time point may be the acquisition period corresponding to the cabin lock operation performed on the target flight.
  • the collection period can be data collection points, which are called Data collection points in English, abbreviated as D CP ; generally determined by the number of days away from the port, and have a one-to-one correspondence with the number of days away from the port.
  • D CP20 can correspond to a date of 7 days from the port.
  • Ndo Number of department days
  • the full data of each flight or flight segment in the airline can be obtained through the airline control system or revenue management system; and the target flight can be obtained from the full data.
  • the full data includes but is not limited to: flight number, departure airport, arrival airport, departure date, departure time, flight segment inventory information, and the number of days to flight departure corresponding to each data collection point.
  • the flight segment inventory information generally includes information on each cabin and its corresponding reservation data, and information on the opening status of each cabin.
  • the cabin lock policy data of the target flight can also be obtained from the revenue management system as needed.
  • the cabin lock strategy data generally includes: flight number, flight segment, cabin lock time point, cabin lock cabin class, cabin lock trigger condition and so on.
  • the cabin lock condition is the condition under which the revenue management system executes the cabin lock operation, and generally includes: the passenger load factor condition is triggered, and the cabin is triggered by a predetermined amount.
  • the revenue management system will lock cabins of K cabin and below when the day before the departure of the target flight or when the number of K cabin reservations reaches 20.
  • the data obtained through the airline control system or the revenue management system can be obtained once every 24 hours in the night dimension.
  • the locked class revenue corresponding to the locked class is R DCPn
  • the previous time point corresponds to the locked class revenue is R DCPn-1
  • the locked class corresponding to the class price is P Classi
  • the booking amount corresponding to the cabin lock time point is BKG Classi
  • the price corresponding to the cabin class at the previous time point is BKG' Classi
  • R low RDPCn - RDCPn-1 .
  • the locked cabin time point is stored and represented in the form of data collection points
  • the data stored and represented in the form of data collection points needs to be converted into the corresponding flight distance days away from Hong Kong.
  • S300 Respectively acquire the cabin price and the booked quantity corresponding to the benchmark cabin of the target flight at the locking time point and the next time point.
  • step S200 the specific process of obtaining the price and reserved amount corresponding to the benchmark cabin of the target flight at the lock-up time point and the next time point is the same as the principle of step S200, just refer to each other, and will not be repeated here.
  • the revenue increment of the benchmark cabin booking is V high
  • the revenue of the benchmark cabin at the time of locking is V DCPn
  • the income of the benchmark cabin at the next time point is V DCPn+1
  • the price of the cabin at the time of lock is P Classj
  • the cabin lock is The booking quantity corresponding to the class at the time point is BKG Classj
  • the price corresponding to the class at the next time point is BKG' Classj
  • V high V DCPn+1 -V DCPn .
  • the lock-up time point is stored and represented in the form of data collection points
  • the data stored and represented in the form of data collection points needs to be converted into the corresponding flight distance when calculating the revenue increment of benchmark class bookings Hong Kong days.
  • the evaluation results of the lockout timing include any one of: the lockout timing is too early, the lockout timing is appropriate, and the lockout timing is too late.
  • the evaluation result of the cabin timing is that the timing of the cabin is too early.
  • the revenue increment of locked cabin bookings is greater than that of benchmark cabin bookings, it means that the income brought by locked cabins is less than the loss, and the gain outweighs the losses, and the timing of the locked cabin setting is too early.
  • the evaluation result of the timing of the cabin lock is that the timing of the cabin lock is appropriate.
  • the incremental booking income of the locked cabin is equal to the incremental booking income of the benchmark cabin, it means that the income brought by the locked cabin is equal to the loss, and the timing of the locked cabin setting is appropriate.
  • the evaluation result of the locked cabin timing is that the locked cabin timing is too late.
  • the incremental booking income of locked cabins is smaller than that of benchmark cabin bookings, it means that the income brought by locked cabins is greater than the loss, and the timing of the locked cabins is too late.
  • step S102 based on the comparison and analysis of the revenue increment of the locked cabin booking and the benchmark cabin booking income increment, to obtain the evaluation result of the cabin lock timing of the target flight can also be shown in Figure 4, which can include:
  • the lock cabin influence coefficient can be a percentage coefficient set in the revenue management system, and its specific value can be determined according to the specific application environment and user needs. This application does not make specific limitations, and all belong to the protection scope of this application.
  • the evaluation result of the lockout timing is that the lockout timing is too late.
  • the evaluation result of the locked cabin timing is that the cabin locked timing is too early.
  • determining the revenue increment of the locked class booking and the benchmark class booking revenue increment of the target flight can also be determined after the target flight satisfies the cabin lock trigger condition and the cabin lock condition takes effect on the target flight, and It is not limited to after the cabin lock operation is performed on the target flight, it can be determined according to the specific application environment and user needs, and all belong to the protection scope of this application.
  • the method for evaluating the timing of cabin lockouts provided by this embodiment can evaluate the timing of cabin lockouts on flights that perform lockout operations, so as to determine whether the timing of cabin lockouts is appropriate, and prompt airline revenue managers to reset cabin lockouts Rules or use the revenue management system to directly execute the cabin switch operation according to the judgment results, which fills the gap of similar domestic products and improves the efficiency of airline revenue management.
  • the income management system generally uses the iterative method to simulate and calculate the revenue increase value of the flight segment before and after the lock time point to analyze and judge the lock time, which will lead to a decline in system performance; or, through Airline revenue managers artificially judge the timing of lock-ups through the year-on-year and quarter-on-quarter qualitative analysis of the sales progress of flight segment lock-ups, which not only leads to low work efficiency, but also lacks clear indicator definitions, which inevitably lead to misjudgments; Method, through comparison and analysis, it can be concluded whether the evaluation result of the lock-up timing is "early", “late” or “appropriate”, and helps airline revenue managers reset the lock-up strategy or operation through the revenue management system or manual operation.
  • the use of the present invention can also provide a calculation theoretical basis for airline revenue managers who do not use the revenue management system to artificially judge the timing of lock-up quantitatively or qualitatively, and improve the system use efficiency for airlines using the revenue management system.
  • the promotion of revenue brought by the company has an obvious positive effect; moreover, the present invention not only fills the domestic similar products or system gaps in judging the timing of lock-up of designated flight segments of designated airlines, but also improves the prediction accuracy of the revenue management system and the aviation industry.
  • the company's revenue management work efficiency has a good effect. Especially for the basic revenue management system with a single function, it can reduce the work difficulty of revenue managers and improve work efficiency.
  • the evaluation device for the flight lock opportunity mainly includes:
  • the determining unit 100 is used to determine the locked class booking income increment and the benchmark class booking revenue increment of the target flight after the cabin lock operation is performed on the target flight; wherein, the locked cabin booking income increment is: the target flight's The increment of revenue from seat reservations at the locked cabin time point compared with the previous time point; the benchmark cabin booking income increment is: the upper cabin class of the locked cabin cabin on the target flight is at the locked cabin time point and the next time point Increment of booked revenue for seats within a point.
  • the evaluation unit 102 is used to compare and analyze based on the revenue increment of the locked class booking and the benchmark class booking revenue increment, so as to obtain the evaluation result of the lock timing of the target flight; wherein, the evaluation results of the lock timing include: the timing of the lock is too early, Either the timing of locking the cabin is appropriate or the timing of locking the cabin is too late.
  • the determination unit 100 determines the revenue increment of the locked class booking of the target flight, it is specifically used to:
  • the determination unit 100 determines the benchmark class booking income increment of the target flight, it is specifically used to:
  • the benchmark cabin booking income increment is obtained.
  • the evaluation unit 102 is specifically configured to:
  • the evaluation result of the cabin timing is that the timing of the cabin is too early.
  • the evaluation result of the timing of the cabin lock is that the timing of the cabin lock is appropriate.
  • the evaluation result of the locked cabin timing is that the locked cabin timing is too late.
  • the evaluation unit 102 includes:
  • the calculation unit 1021 is configured to use preset evaluation formulas to perform calculations based on the locked class booking revenue increment and the benchmark class booking revenue increment to obtain a calculation result.
  • the evaluation subunit 1022 is configured to obtain an evaluation result of the locking opportunity based on the calculation result.
  • evaluation subunit 1022 is specifically used for:
  • the evaluation result of the locked cabin timing is that the locked cabin timing is too late.
  • the evaluation result of the locked cabin timing is that the cabin locked timing is too early.
  • the determination unit 100 is used to determine the locked-class reservation income increment and the benchmark-class reservation income increase of the target flight after the lock operation is performed on the target flight.
  • the revenue increment of the locked class booking is: the increase of the locked class of the target flight compared with the previous time point
  • the benchmark class booking revenue increment is: the locked class of the target flight Increment of booking revenue of the upper class of locked class between the locking time point and the next time point
  • the evaluation unit 102 is used for comparative analysis based on the locked class booking revenue increment and the benchmark class booking revenue increment , to obtain the evaluation results of the lock timing of the target flight; wherein, the evaluation results of the lock timing include: any one of the timing of the lock is too early, the timing of the lock is appropriate, and the timing of the lock is too late; that is, the application can execute the lock Evaluate the cabin lock timing of the cabin operation flight, so as to determine whether the lock timing is appropriate, so as to remind the airline revenue management personnel to reset the lock

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Abstract

提供了一种航班锁舱时机的评价方法及装置，方法在对目标航班执行锁舱操作之后，确定出目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量(S100)；被锁舱位预订收入增量为：目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入的增量；标杆舱位预订收入增量为：目标航班中被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量；基于两者增量进行比较分析，得到目标航班的锁舱时机评价结果(S102)；能够对执行锁舱操作航班的锁舱时机进行评价，确定出锁舱时机是否恰当，以提示航司收益管理人员重新设置锁舱规则或者使用收益管理系统直接根据判断结果执行舱位开关操作，提高了航司收益管理工作的效率。

Description

一种航班锁舱时机的评价方法及装置
本公开要求于2022年01月10日提交中国专利局、申请号为202210021476.8、发明名称为“一种航班锁舱时机的评价方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本公开中。
技术领域
本发明涉及数据处理技术领域，具体涉及一种航班锁舱时机的评价方法及装置。
背景技术
目前，航司的收益管理系统核心算法子系统是根据输入历史样本数据与信息，通过预测与优化核心算法，输出指定未离港航班保护座位数值。其中，预测所需的输入数据主要为以指定已离港航班的库存数据作为的历史样本数据和已离港航班作为的历史样本航班。若历史样本数据由于种种原因失真或者由于市场环境发生变化导致的预测精度下降，甚至导致以保护座位数值为最终输出的结果无法使用，就需要执行锁舱及相关操作。
例如，指定未离港航班出现偶然性大规模预定，导致销售进度急速上升，或者，需要对制定为离港航班开放销售舱位中较低舱位的锁定，以提高航班中更高舱位的销售，均需要对航班执行锁舱操作；但是，如何判断锁舱时机是否恰当是当前亟需解决的问题。
发明内容
对此，本申请提供一种航班锁舱时机的评价方法及装置，能够对执行锁舱操作航班的锁舱时机进行评价，从而确定出锁舱时机是否恰当，以提示航司收益管理人员重新设置锁舱规则或者使用收益管理系统直接根据判断结果执行舱位开关操作，填补了国内同类产品的空白，提高了航司收益管理工作的效率。
为实现上述目的，本发明实施例提供如下技术方案：
本发明第一方面公开了一种航班锁舱时机的评价方法，包括：
在对目标航班执行锁舱操作之后，确定出所述目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量；其中，所述被锁舱位预订收入增量为：所述目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入 的增量；所述标杆舱位预订收入增量为：所述目标航班中所述被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量；
基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量进行比较分析，得到所述目标航班的锁舱时机评价结果；其中，所述锁舱时机评价结果包括：锁舱时机过早、锁舱时机恰当及锁舱时机过晚中的任一种。
可选地，上述的航班锁舱时机的评价方法，确定出所述目标航班的被锁舱位预订收入增量，包括：
分别获取所述目标航班中被锁舱位在所述锁舱时点以及前一个时点对应舱位的价格和被预订量；
基于所述锁舱时点以及前一个时点对应舱位的价格和被预订量预订值进行计算，得到所述被锁舱位预订收入增量。
可选地，上述的航班锁舱时机的评价方法，确定出所述目标航班的标杆舱位预订收入增量，包括：
分别获取所述目标航班中标杆舱位在所述锁舱时点以及后一个时点对应舱位的价格和被预订量；
基于所述锁舱时点及后一个时点对应的舱位的价格和被预订量进行计算，得到所述标杆舱位预订收入增量。
可选地，上述的航班锁舱时机的评价方法，基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量进行比较分析，得到所述目标航班的锁舱时机评价结果，包括：
若所述被锁舱位预订收入增量大于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机过早；
若所述被锁舱位预订收入增量等于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机恰当；
若所述被锁舱位预订收入增量小于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机过晚。
可选地，上述的航班锁舱时机的评价方法，基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量进行比较分析，得到所述目标航班的锁舱时机评价结果，包括：
基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量，利用预设评价公式进行计算，得到计算结果；
基于所述计算结果，得到所述锁舱时机评价结果；
其中，所述预设评价公式为：y＝V high×(1-x)-R low；V high表示标杆舱位预订收入增量，R low表示被锁舱位预订收入增量，x表示锁舱影响系数，y表示计算结果。
可选地，上述的航班锁舱时机的评价方法，基于所述计算结果，得到所述锁舱时机评价结果，包括：
若所述计算结果大于零，则所述锁舱时机评价结果为所述锁舱时机过晚；
若所述计算结果等于零，则所述锁舱时机评价结果为所述锁舱时机恰当；
若所述计算结果小于零，则所述锁舱时机评价结果为所述锁舱时机过早。
本发明第二方面公开了一种航班锁舱时机的评价装置，包括：
确定单元，用于在对目标航班执行锁舱操作之后，确定出所述目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量；其中，所述被锁舱位预订收入增量为：所述目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入的增量；所述标杆舱位预订收入增量为：所述目标航班中所述被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量；
评价单元，用于基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量进行比较分析，得到所述目标航班的锁舱时机评价结果；其中，所述锁舱时机评价结果包括：锁舱时机过早、锁舱时机恰当及锁舱时机过晚中的任一种。
可选地，上述的航班锁舱时机的评价装置，所述评价单元具体用于：
若所述被锁舱位预订收入增量大于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机过早；
若所述被锁舱位预订收入增量等于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机恰当；
若所述被锁舱位预订收入增量小于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机过晚。
可选地，上述的航班锁舱时机的评价装置，所述评价单元包括：
计算单元，用于基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量，利用预设评价公式进行计算，得到计算结果；
评价子单元，用于基于所述计算结果，得到所述锁舱时机评价结果；
其中，所述预设评价公式为：y＝V high×(1-x)-R low；V high表示标杆舱位预订收入增量，R low表示被锁舱位预订收入增量，x表示锁舱影响系数，y表示计算结果。
可选地，上述的航班锁舱时机的评价装置，所述评价子单元具体用于：
若所述计算结果大于零，则所述锁舱时机评价结果为所述锁舱时机过晚；
若所述计算结果等于零，则所述锁舱时机评价结果为所述锁舱时机恰当；
若所述计算结果小于零，则所述锁舱时机评价结果为所述锁舱时机过早。
本发明提供的航班锁舱时机的评价方法，包括：在对目标航班执行锁舱操作之后，确定出目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量；其中，被锁舱位预订收入增量为：目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入的增量；标杆舱位预订收入增量为：目标航班中被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量；基于被锁舱位预订收入增量和标杆舱位预订收入增量进行比较分析，得到目标航班的锁舱时机评价结果；其中，锁舱时机评价结果包括：锁舱时机过早、锁舱时机恰当及锁舱时机过晚中的任一种；也即本申请提供的方法能够对执行锁舱操作航班的锁舱时机进行评价，从而确定出锁舱时机是否恰当，以提示航司收益管理人员重新设置锁舱规则或者使用收益管理系统直接根据判断结果执行舱位开关操作，填补了国内同类产品的空白，提高了航司收益管理工作的效率。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据提供的附图获得其他的附图。
图1为本申请实施例提供的一种航班锁舱时机的评价方法的流程图；
图2为本申请实施例提供的一种确定出被锁舱位预订收入增量的流程图；
图3为本申请实施例提供的一种确定出标杆舱位预订收入增量的流程图；
图4为本申请实施例提供的一种锁舱时机评价结果的流程图；
图5为本申请实施例提供的一种锁舱时机评价结果的结构示意图；
图6为本申请实施例提供的一种评价单元的结构示意图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
首先需要说明的是，收益管理系统是利用航班计划、库存、离港与运价数据，基于预测与优化模型，对未离港航班的库存进行自动管理的系统。实际应用中，收益管理系统一般可分为基础版和升级版。其中，基础版相较于升级版，所支持功能较为基础和单一。
本申请提供一种航班锁舱时机判断方法，能够对执行锁舱操作航班的锁舱时机进行评价，从而确定出锁舱时机是否恰当，以提示航司收益管理人员重新设置锁舱规则或者使用收益管理系统直接根据判断结果执行舱位开关操作，填补了国内同类产品的空白，提高了航司收益管理工作的效率。
请参见图1，该航班锁舱时机判断方法可以包括如下步骤：
S100、在对目标航班执行舱位锁舱操作之后，确定出目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量。
其中，被锁舱位预订收入增量为：目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入的增量；标杆舱位预订收入增量为：目标航班中被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量。
需要说明的是，目标航班可以是指定航空公司未离港航班；当然，也可以是已离港航班，视具体应用环境和用户需求确定即可，均属于本申请的保护范围。
实际应用中，确定出目标航班的被锁舱位预订收入增量的具体过程可如图2所示，可以包括如下步骤：
S200、分别获取目标航班中被锁舱位在锁舱时点以及前一个时点对应舱位的价格和被预订量。
其中，可以通过航空公司控制系统或者收益管理系统，获取得到目标航班中被锁舱位在锁舱时点以及前一个时点对应舱位的价格和被预定量。
实际应用中，目标航班中的舱位价格和被预定量一般按照每个采集周期采集一次，每次采集到的舱位价格和被预定量可能不同。锁舱时点可以是对目标航班执行锁舱操作对应采集周期。
其中，采集周期可以是数据采集点，英文全称为Data collection points，缩写为D CP；一般由距离港天数而决定，与距离港天数为一一对应关系。例如：数据采集点D CP20可以对应距离港日期为7天。
具体的，距离港天数的英文全称为Number of department days,缩写为Ndo，是目标航班离港日期在系统日期的天数。
需要说明的是，实际应用中可以在每一个数据采集点，通过航空公司控制系统或者收益管理系统，获取到航空公司中各个航班或航段的全数据；并从全数据中获取到目标航班中被锁舱位在锁舱时点以及前一个时点对应舱位的价格和被预订量。其中，全数据包括但不仅限于：航班号、离港机场、到港机场、离港日期、离港时刻、航班航段库存信息，以及每个数据采集点对应的距航班离港天数。具体的，航班航段库存信息一般包括各舱位信息及其对应订座数据与各舱位开放状态信息。
需要说明的是，还可以根据需要，从收益管理系统中，获取到目标航班的锁舱策略数据。其中，锁舱策略数据一般包括：航班号、航段、锁舱时点、锁舱舱位、锁舱触发条件等等。
具体的，锁舱条件为在何种条件下收益管理系统执行锁舱操作，一般包括：客座率条件触发和舱位被预定量触发等。
实际应用中，假设被锁舱位为K舱，在距目标航班离港前天或K舱被预定量达到20时，收益管理系统执行对K舱及K舱以下级别舱位进行锁舱操 作。
还需要说明的是，通过航空公司控制系统或者收益管理系统获得的数据，可以通过每间隔24小时的夜维中获取一次。
S202、基于锁舱时点以及前一个时点对应舱位的价格和被预订量进行计算，得到被锁舱位预订收入增量。
实际应用中，可以利用收入＝舱位价格×舱位被预定量，计算出锁舱时点对应被锁舱位的收入和前一个时点对应被锁舱位的收入，再将前一个时点对应的被锁舱位收入减去锁舱时点对应的被锁舱位收入，得到被锁舱位预订收入增量。
假设被锁舱位预订收入增量为R low，锁舱时点对应被锁舱位收入为R DCPn，前一个时点对应被锁舱位收入为R DCPn-1，锁舱时点对应舱位价格为P Classi，锁舱时点对应舱位被预订量为BKG Classi，前一个时点对应舱位价格为BKG’ Classi，则存在如下数学关系：
Figure PCTCN2022088137-appb-000001
Figure PCTCN2022088137-appb-000002
R low＝R DPCn-R DCPn-1。
需要说明的是，若锁舱时点以数据采集点的形式存储与表示，则在计算被锁舱位预订收入增量时需要将以数据采集点的形式存储与表示的数据转换为对应的距航班离港天数。
然而，实际应用中，确定出目标航班的标杆舱位预订收入增量的具体过程可如图3所示，可以包括如下步骤：
S300、分别获取目标航班中标杆舱位在锁舱时点以及后一个时点对应的舱位价格和被预订量。
同理，获取目标航班中标杆舱位在锁舱时点以及后一个时点对应的舱位价格和被预定量的具体过程与步骤S200原理相同，相互参见即可，此处不再赘述。
S302、基于锁舱时点及后一个时点对应的舱位的价格和被预订量进行计算，得到标杆舱位预订收入增量。
实际应用中，可以利用收入＝舱位价格×舱位被预定量，计算出锁舱时点对应标杆舱位的收入和后一个时点对应标杆舱位的收入，再将后一个时点对应的标杆舱位收入减去锁舱时点对应的标杆舱位收入，得到标杆舱 位预订收入增量。
假设标杆舱位预订收入增量为V high，锁舱时点对应标杆舱位收入为V DCPn，后一个时点对应标杆舱位收入为V DCPn+1，锁舱时点对应舱位价格为P Classj，锁舱时点对应舱位被预订量为BKG Classj，后一个时点对应舱位价格为BKG’ Classj，则存在如下数学关系：
Figure PCTCN2022088137-appb-000003
Figure PCTCN2022088137-appb-000004
V high＝V DCPn+1-V DCPn。
需要说明的是，若锁舱时点以数据采集点的形式存储与表示，则在计算标杆舱位预订收入增量时需要将以数据采集点的形式存储与表示的数据转换为对应的距航班离港天数。
S102、基于被锁舱位预订收入增量和标杆舱位预订收入增量进行比较分析，得到目标航班的锁舱时机评价结果。
其中，锁舱时机评价结果包括：锁舱时机过早、锁舱时机恰当及锁舱时机过晚中的任一种。
实际应用中，若被锁舱位预订收入增量大于标杆舱位预订收入增量，则锁舱时机评价结果为锁舱时机过早。换言之，因为被锁舱位预订收入增量大于标杆舱位预订收入增量，说明锁舱带来的收入小于损失，得不偿失，锁舱设置的时机过早。
若被锁舱位预订收入增量等于标杆舱位预订收入增量，则锁舱时机评价结果为锁舱时机恰当。换言之，因为被锁舱位预订收入增量等于标杆舱位预订收入增量，说明锁舱带来的收入等于损失，锁舱设置的时机恰当。
若被锁舱位预订收入增量小于标杆舱位预订收入增量，则锁舱时机评价结果为锁舱时机过晚。换言之，因为被锁舱位预订收入增量小于标杆舱位预订收入增量，说明锁舱带来的收入大于损失，锁舱设置的时机过晚。
除上述方式外，步骤S102、基于被锁舱位预订收入增量和标杆舱位预订收入增量进行比较分析，得到目标航班的锁舱时机评价结果的具体执行过程还可如图4所示，可以包括如下步骤：
S400、基于被锁舱位预订收入增量和标杆舱位预订收入增量，利用预设评价公式进行计算，得到计算结果。
其中，预设评价公式为：y＝V high×(1-x)-R low；V high表示标杆舱位预订收 入增量，R low表示被锁舱位预订收入增量，x表示锁舱影响系数，y表示计算结果。
实际应用中，锁舱影响系数可以是收益管理系统中设定的百分比系数，其具体取值可视具体应用环境和用户需求确定，本申请不作具体限定，均属于本申请的保护范围。
S402、基于计算结果，得到锁舱时机评价结果。
其中，若计算结果大于零，则锁舱时机评价结果为锁舱时机过晚。
若计算结果等于零，则锁舱时机评价结果为锁舱时机恰当。
若计算结果小于零，则锁舱时机评价结果为锁舱时机过早。
实际应用中，预设评价公式、计算结果及锁舱时机评价结果的关系可如表1-1所示。
表1-1
Figure PCTCN2022088137-appb-000005
需要说明的是，实际应用中，确定出目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量也可以在目标航班满足锁舱触发条件，锁舱条件在目标航班中生效之后，并不仅限于在对目标航班执行锁舱操作之后，视具体应用环境和用户需求确定即可，均属于本申请的保护范围。
基于上述原理，本实施例提供的航班锁舱时机的评价方法能够对执行锁舱操作航班的锁舱时机进行评价，从而确定出锁舱时机是否恰当，以提示航司收益管理人员重新设置锁舱规则或者使用收益管理系统直接根据判断结果执行舱位开关操作，填补了国内同类产品的空白，提高了航司收益管理工作的效率。
值得说明的是，实际应用中一般通过收益管理系统使用迭代方法多次模拟计算锁舱时点前后航班航段的收入增加值来分析判断锁舱时机，这样将导致系统性能的下降；或者，通过航空公司收益管理人员人为通过航班航段锁舱时点销售进度的同比、环比定性分析判断锁舱时机，不仅导致工作效率低下，而且缺少明确的指标定义而难免出现判断失误；而本申请提 供的方法，可以通过比较分析得出锁舱时机的评价结果是“早”、“晚”或是“适当”，帮助航空公司收益管理人员通过收益管理系统或人工操作，重新设置锁舱策略或操作。
此外，使用本发明还可以为未使用收益管理系统的航空公司收益管理人员人为进行定量或定性判断锁舱时机提供的计算理论基础，为使用收益管理系统的航空公司提升了系统使用效率，给航空公司带来收益的提升有明显的正面促进作用；再者，本发明不仅填补了指定航空公司指定航班航段锁舱时机判断的国内同类产品或系统空白，还对提升收益管理系统预测精度与航空公司收益管理工作效率具有良好的效果。特别是针对功能单一的基础版收益管理系统，更能减少收益管理人员的工作难度，提高工作效率。
结合本申请实施例提供的航班锁舱时机的评价方法，本申请另一实施例还提供了一种航班锁舱时机的评价装置，请参见图5，该航班锁舱时机的评价装置主要包括：
确定单元100，用于在对目标航班执行锁舱操作之后，确定出目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量；其中，被锁舱位预订收入增量为：目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入的增量；标杆舱位预订收入增量为：目标航班中被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量。
评价单元102，用于基于被锁舱位预订收入增量和标杆舱位预订收入增量进行比较分析，得到目标航班的锁舱时机评价结果；其中，锁舱时机评价结果包括：锁舱时机过早、锁舱时机恰当及锁舱时机过晚中的任一种。
可选地，确定单元100在确定出所述目标航班的被锁舱位预订收入增量时，具体用于：
分别获取目标航班中被锁舱位在锁舱时点以及前一个时点对应舱位的价格和被预订量。
基于锁舱时点以及前一个时点对应舱位的价格和被预订量预订值进行计算，得到被锁舱位预订收入增量。
可选地，确定单元100在确定出所述目标航班的标杆舱位预订收入增量时，具体用于：
分别获取目标航班中标杆舱位在锁舱时点以及后一个时点对应舱位的价格和被预订量。
基于锁舱时点及后一个时点对应的舱位的价格和被预订量进行计算，得到标杆舱位预订收入增量。
可选地，评价单元102具体用于：
若被锁舱位预订收入增量大于标杆舱位预订收入增量，则锁舱时机评价结果为锁舱时机过早。
若被锁舱位预订收入增量等于标杆舱位预订收入增量，则锁舱时机评价结果为锁舱时机恰当。
若被锁舱位预订收入增量小于标杆舱位预订收入增量，则锁舱时机评价结果为锁舱时机过晚。
可选地，请参见图6，评价单元102包括：
计算单元1021，用于基于被锁舱位预订收入增量和标杆舱位预订收入增量，利用预设评价公式进行计算，得到计算结果。
评价子单元1022，用于基于计算结果，得到锁舱时机评价结果。
其中，预设评价公式为：y＝V high×(1-x)-R low；V high表示标杆舱位预订收入增量，R low表示被锁舱位预订收入增量，x表示锁舱影响系数，y表示计算结果。
可选地，评价子单元1022具体用于：
若计算结果大于零，则锁舱时机评价结果为锁舱时机过晚。
若计算结果等于零，则锁舱时机评价结果为锁舱时机恰当。
若计算结果小于零，则锁舱时机评价结果为锁舱时机过早。
在本实施例提供的航班锁舱时机的评价装置中，通过确定单元100，用于在对目标航班执行锁舱操作之后，确定出目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量；其中，被锁舱位预订收入增量为：目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入的增量；标杆舱位预订收入增量为：目标航班中被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量；评价单元102，用于基于被锁舱位预订收入增量和标杆舱位预订收入增量进行比较分析，得到目标航班的锁舱时机评价结果；其中，锁舱时机评价结果包括：锁舱时机过早、锁舱时机恰当及锁舱时机过晚中的任一种；也即本申请能够对执行锁舱操作航班的 锁舱时机进行评价，从而确定出锁舱时机是否恰当，以提示航司收益管理人员重新设置锁舱规则或者使用收益管理系统直接根据判断结果执行舱位开关操作，填补了国内同类产品的空白，提高了航司收益管理工作的效率。
本说明书中的各个实施例中记载的特征可以相互替换或者组合，各个实施例之间相同相似的部分互相参见即可，每个实施例重点说明的都是与其他实施例的不同之处。尤其，对于系统或系统实施例而言，由于其基本相似于方法实施例，所以描述得比较简单，相关之处参见方法实施例的部分说明即可。以上所描述的系统及系统实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
专业人员还可以进一步意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、计算机软件或者二者的结合来实现，为了清楚地说明硬件和软件的可互换性，在上述说明中已经按照功能一般性地描述了各示例的组成及步骤。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。
对所公开的实施例的上述说明，使本领域专业技术人员能够实现或使用本发明。对这些实施例的多种修改对本领域的专业技术人员来说将是显而易见的，本文中所定义的一般原理可以在不脱离本发明的精神或范围的情况下，在其它实施例中实现。因此，本发明将不会被限制于本文所示的这些实施例，而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。
还需要说明的是，在本文中，诸如第一和第二等之类的关系术语仅仅用来将一个实体或者操作与另一个实体或操作区分开来，而不一定要求或者暗示这些实体或操作之间存在任何这种实际的关系或者顺序。而且，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从 而使得包括一系列要素的过程、方法、物品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的过程、方法、物品或者设备中还存在另外的相同要素。

Claims (10)

  1. 一种航班锁舱时机的评价方法，其特征在于，包括：
    在对目标航班执行锁舱操作之后，确定出所述目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量；其中，所述被锁舱位预订收入增量为：所述目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入的增量；所述标杆舱位预订收入增量为：所述目标航班中所述被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量；
    基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量进行比较分析，得到所述目标航班的锁舱时机评价结果；其中，所述锁舱时机评价结果包括：锁舱时机过早、锁舱时机恰当及锁舱时机过晚中的任一种。
  2. 根据权利要求1所述的航班锁舱时机的评价方法，其特征在于，确定出所述目标航班的被锁舱位预订收入增量，包括：
    分别获取所述目标航班中被锁舱位在所述锁舱时点以及前一个时点对应舱位的价格和被预订量；
    基于所述锁舱时点以及前一个时点对应舱位的价格和被预订量预订值进行计算，得到所述被锁舱位预订收入增量。
  3. 根据权利要求1所述的航班锁舱时机的评价方法，其特征在于，确定出所述目标航班的标杆舱位预订收入增量，包括：
    分别获取所述目标航班中标杆舱位在所述锁舱时点以及后一个时点对应舱位的价格和被预订量；
    基于所述锁舱时点及后一个时点对应的舱位的价格和被预订量进行计算，得到所述标杆舱位预订收入增量。
  4. 根据权利要求1所述的航班锁舱时机的评价方法，其特征在于，基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量进行比较分析，得到所述目标航班的锁舱时机评价结果，包括：
    若所述被锁舱位预订收入增量大于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机过早；
    若所述被锁舱位预订收入增量等于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机恰当；
    若所述被锁舱位预订收入增量小于所述标杆舱位预订收入增量，则所 述锁舱时机评价结果为所述锁舱时机过晚。
  5. 根据权利要求1所述的航班锁舱时机的评价方法，其特征在于，基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量进行比较分析，得到所述目标航班的锁舱时机评价结果，包括：
    基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量，利用预设评价公式进行计算，得到计算结果；
    基于所述计算结果，得到所述锁舱时机评价结果；
    其中，所述预设评价公式为：y＝V high×(1-x)-R low；V high表示标杆舱位预订收入增量，R low表示被锁舱位预订收入增量，x表示锁舱影响系数，y表示计算结果。
  6. 根据权利要求5所述的航班锁舱时机的评价方法，其特征在于，基于所述计算结果，得到所述锁舱时机评价结果，包括：
    若所述计算结果大于零，则所述锁舱时机评价结果为所述锁舱时机过晚；
    若所述计算结果等于零，则所述锁舱时机评价结果为所述锁舱时机恰当；
    若所述计算结果小于零，则所述锁舱时机评价结果为所述锁舱时机过早。
  7. 一种航班锁舱时机的评价装置，其特征在于，包括：
    确定单元，用于在对目标航班执行锁舱操作之后，确定出所述目标航班的被锁舱位预订收入增量和标杆舱位预订收入增量；其中，所述被锁舱位预订收入增量为：所述目标航班的被锁舱位在锁舱时点较前一个时点内座位被预订收入的增量；所述标杆舱位预订收入增量为：所述目标航班中所述被锁舱位的上一级舱位在锁舱时点与后一个时点内座位被预订收入的增量；
    评价单元，用于基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量进行比较分析，得到所述目标航班的锁舱时机评价结果；其中，所述锁舱时机评价结果包括：锁舱时机过早、锁舱时机恰当及锁舱时机过晚中的任一种。
  8. 根据权利要求7所述的航班锁舱时机的评价装置，其特征在于，所述评价单元具体用于：
    若所述被锁舱位预订收入增量大于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机过早；
    若所述被锁舱位预订收入增量等于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机恰当；
    若所述被锁舱位预订收入增量小于所述标杆舱位预订收入增量，则所述锁舱时机评价结果为所述锁舱时机过晚。
  9. 根据权利要求7所述的航班锁舱时机的评价装置，其特征在于，所述评价单元包括：
    计算单元，用于基于所述被锁舱位预订收入增量和所述标杆舱位预订收入增量，利用预设评价公式进行计算，得到计算结果；
    评价子单元，用于基于所述计算结果，得到所述锁舱时机评价结果；
    其中，所述预设评价公式为：y＝V high×(1-x)-R low；V high表示标杆舱位预订收入增量，R low表示被锁舱位预订收入增量，x表示锁舱影响系数，y表示计算结果。
  10. 根据权利要求7所述的航班锁舱时机的评价装置，其特征在于，所述评价子单元具体用于：
    若所述计算结果大于零，则所述锁舱时机评价结果为所述锁舱时机过晚；
    若所述计算结果等于零，则所述锁舱时机评价结果为所述锁舱时机恰当；
    若所述计算结果小于零，则所述锁舱时机评价结果为所述锁舱时机过早。
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Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114372231A (zh) * 2022-01-10 2022-04-19 中国民航信息网络股份有限公司 一种航班锁舱时机的评价方法及装置

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7617136B1 (en) * 2003-07-15 2009-11-10 Teradata Us, Inc. System and method for capturing, storing and analyzing revenue management information for the travel and transportation industries
US20170083836A1 (en) * 2008-02-25 2017-03-23 Tixtrack, Inc. Sports and concert event ticket pricing and visualization system
US10755207B1 (en) * 2014-01-17 2020-08-25 American Airlines, Inc. Demand class remapping for airline seat bookings
CN112308636A (zh) * 2020-11-30 2021-02-02 中国民航信息网络股份有限公司 一种基于市场需求变化的市场需求值的计算方法和装置
CN112396249A (zh) * 2020-11-30 2021-02-23 中国民航信息网络股份有限公司 一种基于订座变化识别的市场需求值的计算方法和装置
CN113393088A (zh) * 2021-05-19 2021-09-14 悠桦林信息科技(上海)有限公司 航空运输控舱方法、装置、设备、介质及收益管理系统
CN113486084A (zh) * 2021-06-30 2021-10-08 中国民航信息网络股份有限公司 一种锁舱控制方法、装置、电子设备及计算机存储介质
CN114372231A (zh) * 2022-01-10 2022-04-19 中国民航信息网络股份有限公司 一种航班锁舱时机的评价方法及装置

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7617136B1 (en) * 2003-07-15 2009-11-10 Teradata Us, Inc. System and method for capturing, storing and analyzing revenue management information for the travel and transportation industries
US20170083836A1 (en) * 2008-02-25 2017-03-23 Tixtrack, Inc. Sports and concert event ticket pricing and visualization system
US10755207B1 (en) * 2014-01-17 2020-08-25 American Airlines, Inc. Demand class remapping for airline seat bookings
CN112308636A (zh) * 2020-11-30 2021-02-02 中国民航信息网络股份有限公司 一种基于市场需求变化的市场需求值的计算方法和装置
CN112396249A (zh) * 2020-11-30 2021-02-23 中国民航信息网络股份有限公司 一种基于订座变化识别的市场需求值的计算方法和装置
CN113393088A (zh) * 2021-05-19 2021-09-14 悠桦林信息科技(上海)有限公司 航空运输控舱方法、装置、设备、介质及收益管理系统
CN113486084A (zh) * 2021-06-30 2021-10-08 中国民航信息网络股份有限公司 一种锁舱控制方法、装置、电子设备及计算机存储介质
CN114372231A (zh) * 2022-01-10 2022-04-19 中国民航信息网络股份有限公司 一种航班锁舱时机的评价方法及装置

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