CN112308636B - Market demand value calculation method and device based on market demand change - Google Patents
Market demand value calculation method and device based on market demand change Download PDFInfo
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Abstract
The application provides a calculation method and a calculation device of market demand values based on market demand change, wherein the method and the device specifically acquire flight information of appointed flights of appointed airlines; acquiring inventory data of two adjacent data acquisition points of a designated flight based on flight information, wherein the inventory data comprises available seat values of each cabin of the designated flight, cabin availability status information and booking values; judging the sales state of the designated cabin according to the inventory data; and processing the sales state of the designated cabin based on a preset algorithm to obtain the market demand value of the designated cabin. The market demand value is important basic data of the revenue management system, so that the purpose of providing the important basic data of the appointed flight of the appointed airline company for the revenue management system of the airline company is achieved.
Description
Technical Field
The application relates to the technical field of air transportation, in particular to a method and a device for calculating a market demand value.
Background
The revenue management system is an automatic management system for automatically managing the inventory of the unoccupied flights based on a prediction and optimization model by utilizing the flight schedule, inventory, departure and freight rate data by the airlines; wherein, the market demand value refers to the actual demand value of a flight which is input by taking the actual sales data of a certain flight in history as a sample and is calculated and output;
the market demand value of the specified cabin position of the specified unopened flight on the departure date is taken as an important output value of the revenue management system, is taken as an important output value of the revenue management system core algorithm subsystem prediction module, is widely applied to market trend judgment and market light and strong season division, is an important input value applied to the revenue management system core algorithm subsystem optimization module, and in short, the market demand value is important basic data of the airline revenue management system.
Disclosure of Invention
In view of this, the present application provides a method and apparatus for calculating market demand values based on seat reservation change identification for providing important basis data for a specified airline's specified flights to a revenue management system of an airline.
In order to achieve the above object, the following solutions have been proposed:
a method of calculating a market demand value based on a change in market demand, comprising the steps of:
acquiring flight information of a designated flight of a designated airline company;
acquiring inventory data of two adjacent data acquisition points of the appointed flight based on the flight information, wherein the inventory data comprises available seat values of each cabin position, available cabin position state information and booking values of the appointed flight;
judging the sales state of the designated cabin according to the inventory data;
and processing the sales state of the designated cabin based on a preset first formula, a preset third formula and a preset fifth formula, or a preset second formula, a preset fourth formula and the fifth formula to obtain the market demand value of the designated cabin.
Optionally, the step of acquiring the flight information of the designated flight of the designated airline company includes the steps of:
acquiring the flight number of the appointed flight;
the flight information and the data acquisition point are obtained from the local according to the flight number, wherein the flight information comprises part or all of the flight number, the flight departure date, and the number of days that the data acquisition point and the data acquisition point are away from the appointed flight departure time;
and sorting and warehousing the flight information and the data acquisition points.
Optionally, the inventory data includes the stock data of the departure flight and the stock data of the non-departure flight, and the step of acquiring the inventory data of two adjacent data acquisition points of the designated flight based on the flight information includes the steps of:
acquiring flight stock data of the departure flight of the designated flight, which takes the current date as a reference, for three years past, and taking the flight stock data as the departure flight stock data;
determining, based on the inventory data of the departure flight, flight inventory data of the specified flight for a next year based on the system date as the unopened flight data;
classifying and warehousing the departure flight stock data and the non-departure flight stock data.
Optionally, the determining the sales state of the specified bunk according to the inventory data includes the steps of:
and judging the total quantity and the increment of each data acquisition point by utilizing the inventory data to obtain the sales state of the designated cabin.
Optionally, the processing the sales state of the specified bunk based on a preset algorithm to obtain the market demand value of the specified bunk includes the steps of:
and calculating the sales state by using different calculation formulas according to the acquired sales states of the specified cabin of the airlines at different data acquisition points to obtain the market demand value.
A computing device for market demand values based on market demand changes, comprising:
a first acquisition module configured to acquire flight information of a specified flight of a specified airline;
a second acquisition module configured to acquire inventory data of two adjacent data acquisition points of the specified flight based on the flight information, the inventory data including a seat value, a seat availability status information, and a seat reservation value for each seat availability of the specified flight;
the state judging module is configured to judge the sales state of the designated cabin according to the inventory data;
the calculation execution module is configured to process the sales state of the specified cabin based on a preset first formula, a preset third formula and a preset fifth formula, or a preset second formula, a preset fourth formula and the fifth formula to obtain the market demand value of the specified cabin.
Optionally, the first obtaining module includes:
a first acquiring unit configured to acquire a flight number of the specified flight;
a second obtaining unit, configured to obtain the flight information and the data acquisition point from the local according to the flight number, where the flight information includes part or all of the flight number, a flight departure date, and a number of days that the data acquisition point and the data acquisition point are away from the specified flight departure time;
and the first warehousing unit is used for sorting and warehousing the flight information and the data acquisition points.
Optionally, the inventory data includes departure flight inventory data and non-departure flight inventory data, and the second obtaining module includes:
a third acquiring unit configured to acquire flight inventory data of an outgoing flight of three years past based on a current date of the specified flight, as the outgoing flight inventory data;
a fourth acquisition unit configured to determine, based on the inventory data of the departure flight, flight inventory data of the specified flight in the next year based on the system date as the non-departure flight data;
and the second warehousing unit is used for classifying and warehousing the departure flight stock data and the unopened flight stock data.
Optionally, the state judging module is specifically configured to judge by using the total amount and the increment of the inventory data at each data acquisition point, so as to obtain the sales state of the specified cabin.
Optionally, the calculation execution module is specifically configured to calculate the sales state according to the obtained sales state of the specified cabin of the airline company at different data acquisition points by using different calculation formulas, so as to obtain the market demand value.
From the above technical scheme, the application discloses a calculation method and a device for market demand values based on market demand change, wherein the method and the device specifically acquire flight information of appointed flights of appointed airlines; acquiring inventory data of two adjacent data acquisition points of a designated flight based on flight information, wherein the inventory data comprises available seat values of each cabin of the designated flight, cabin availability status information and booking values; judging the sales state of the designated cabin according to the inventory data; and processing the sales state of the designated cabin based on a preset algorithm to obtain the market demand value of the designated cabin. The market demand value is important basic data of the revenue management system, so that the purpose of providing the important basic data of the appointed flight of the appointed airline company for the revenue management system of the airline company is achieved.
Drawings
In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of calculating market demand values based on market demand changes in accordance with an embodiment of the present application;
FIG. 2 is a block diagram of a computing device for market demand values based on changes in market demand according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
FIG. 1 is a flowchart of a method for calculating a market demand value based on a change in market demand according to an embodiment of the present application.
As shown in fig. 1, the calculation method provided in the present embodiment is applied to an electronic device having a calculation function, such as a computer, a server, etc., and is used for calculating a market demand value of a specified flight of a specified airline company, so as to provide important basic data for performing revenue calculation for a revenue management system of the airline company, and the calculation method includes the steps of:
s1, acquiring flight information of a specified flight of a specified airline company.
In general, data acquisition point information of a specified flight for a specified airline is stored locally, that is, information of a plurality of data acquisition points of the specified airline is contained in an airline inventory control system, and in order to calculate a market demand value, it is necessary to download flight information corresponding to the data acquisition points of the specified airline according to a rule of the data acquisition points in an airline booking system.
In specific implementation, the flight information is acquired specifically through the following steps:
firstly, downloading and storing a flight number of a designated flight based on a rule of the data acquisition point;
and then, acquiring the flight information and the data acquisition point of the appointed flight from the local based on the flight number, wherein the flight information at least comprises one of the flight number, the flight departure date, the data acquisition point and the number of days of the data acquisition point from the appointed flight departure time.
And finally, sorting and warehousing the flight information and the data acquisition points, namely storing the flight information and the data acquisition points into a local database of the income management system. Meanwhile, data and information of the departure flights of the past three years and the non-departure flights of the next year of the specified flights are stored.
S2, acquiring inventory data based on the flight information.
Specifically, inventory data of two adjacent data acquisition points of a specified flight is acquired based on the obtained flight information. The inventory data specifically includes the already-departed flight inventory information and the unoccupied flight inventory information. The specific method comprises the following steps:
firstly, acquiring flight stock data of an departed flight of three years past, taking the current date as a reference, of a designated flight, and taking the flight stock data as the departed flight stock data;
simultaneously or subsequently, determining the flight stock data of the designated flight in the next year based on the system date based on the stock data of the departure flight, and taking the flight stock data as non-departure flight data;
finally, the departure flight inventory data and the non-departure flight inventory data are categorized and incorporated into a local database of the revenue management system.
S3, judging the sales state of the designated cabin of the designated flight according to the inventory data.
Specifically, the sales state of the specified cabin of the specified flight is identified according to the data acquisition points of the specified airlines, the flight information of the specified airlines, the inventory data of the specified flights and the like, and the sales state comprises locking cabin, opening cabin and the like, and specific identification logic is as follows:
when the available seat number of the designated cabin is smaller than or equal to zero, the available state is open and closed, and the designated cabin is in a non-saleable state, namely the lock cabin;
the available seat number of the designated cabin is larger than zero, the available state is closed, and the designated cabin is in a non-saleable state; namely a lock cabin;
the available seat number of the designated cabin is larger than zero, the available state is open, and the designated cabin is in a saleable state; namely, opening the cabin;
s4, processing the sales state based on a preset algorithm to obtain a market demand value.
Specifically, when the method is realized, the sales state is processed by using a market demand value calculation formula of a specified cabin of a specified flight, and the specific logic is as follows:
if the sales state of the data acquisition point DCP (n+1) is under-deck, and the sales state of the data acquisition point DCP (n) is under-deck; or the sales state of the data acquisition point DCP (n) is a lock cabin according to the sales state of the acquisition point DCP (n+1) as an open cabin; or the sales state of the data acquisition point DCP (n) is the lock cabin according to the sales state of the acquisition point DCP (n+1).
The number of seats ordered at data acquisition point (n) is increased compared with data acquisition point (n+1): then equation 1 is used:
the seat value variation value increment value = actual seat value DCP (n+1) -actual seat value DCP (n);
the market demand value of DCP (n+1) is calculated using equation 3:
historical seat value change value = historical actual seat value DCP (n+1) -historical actual seat value DCP (n).
The market demand value of DCP (n+1) is calculated using equation 3:
market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value).
If the sales state of the data acquisition point DCP (n+1) is the cabin opening, and the sales state of the data acquisition point DCP (n) is the cabin locking; or the sales state of the data acquisition point DCP (n) is the lock cabin according to the sales state of the acquisition point DCP (n+1).
If the data acquisition point (n) is less ordered than the data acquisition point (n+1), then equation 2 is used:
booking reduction change value= (actual booking value DCP (n+1) x market demand value (n))/actual booking value DCP (n) -market demand value (n);
the market demand value of DCP (n+1) is calculated using equation 4:
historical seat value variation value= ((actual seat value DCP (n+1) x market demand value DCP (n))/actual seat value DCP (n)) -market demand value DCP (n);
the market demand value of DCP (n+1) is calculated using equation 5:
market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value).
Notably, are: the calculation of the market demand value is an iterative process, that is, the market demand value of DCP (1) is equal to the actual seat reservation value, and the market demand value of dcp+=1 is calculated iteratively.
As can be seen from the above technical solution, the present embodiment provides a method for calculating a market demand value based on a change in market demand, where the method specifically includes obtaining flight information of a specified flight of a specified airline company; acquiring inventory data of two adjacent data acquisition points of a designated flight based on flight information, wherein the inventory data comprises available seat values of each cabin of the designated flight, cabin availability status information and booking values; judging the sales state of the designated cabin according to the inventory data; and processing the sales state of the designated cabin based on a preset algorithm to obtain the market demand value of the designated cabin. The market demand value is important basic data of the revenue management system, so that the purpose of providing the important basic data of the appointed flight of the appointed airline company for the revenue management system of the airline company is achieved.
In addition, the application can also improve the identification efficiency of the operation behavior of the market demand value management.
In the application, a first formula is preset to be the same as a formula 1, a second formula is preset to be the same as a formula 2, a third formula is preset to be the same as a formula 3, a fourth formula is preset to be the same as a formula 4, and a fifth formula is preset to be the same as a formula 5.
Example two
FIG. 2 is a block diagram of a computing device for market demand values based on changes in market demand according to an embodiment of the present application.
As shown in fig. 2, the computing device provided in this embodiment is applied to an electronic device having a computing function such as a computer, a server, etc., and the computing device is ultimately used for computing a market demand value of a specified flight of a specified airline company, so as to provide important basic data for revenue calculation by a revenue management system of a flight, and specifically includes a first acquiring module 10, a second acquiring module 20, a status judging module 30, and a computing executing module 40.
The first acquisition module is used for acquiring flight information of a specified flight of a specified airline company.
In general, data acquisition point information of a specified flight for a specified airline is stored locally, that is, information of a plurality of data acquisition points of the specified airline is contained in an airline inventory control system, and in order to calculate a market demand value, it is necessary to download flight information corresponding to the data acquisition points of the specified airline according to a rule of the data acquisition points in an airline booking system.
In specific implementation, the first acquisition module specifically includes a first acquisition unit, a second acquisition unit, and a first warehouse entry unit.
The first acquisition unit is used for downloading and storing the flight number of the appointed flight based on the rule of the data acquisition point;
the second acquisition unit is used for locally acquiring flight information and data acquisition points of the appointed flight based on the flight number, wherein the flight information at least comprises one of the flight number, the flight departure date, the data acquisition points and the number of days of the appointed flight departure time from the data acquisition points.
The first warehousing unit is used for sorting and warehousing the flight information and the data acquisition points, namely storing the flight information and the data acquisition points into a local database of the income management system. Meanwhile, data and information of the departure flights of the past three years and the non-departure flights of the next year of the specified flights are stored.
The second acquisition module is used for acquiring inventory data based on the flight information.
Specifically, inventory data of two adjacent data acquisition points of a specified flight is acquired based on the obtained flight information. The inventory data specifically includes the already-departed flight inventory information and the unoccupied flight inventory information. The module specifically comprises a third acquisition unit, a fourth acquisition unit and a second warehousing unit.
The third acquisition unit is used for acquiring flight stock data of the departure flight of the past three years, which takes the current date as the reference, of the appointed flight, and taking the flight stock data as the departure flight stock data;
the fourth acquisition unit is used for determining the flight stock data of the designated flights in the next year taking the system date as a benchmark based on the stock data of the flights which are already away, and taking the flight stock data as the data of the flights which are not already away;
the second warehousing unit is used for classifying and integrating the off-arrival flight stock data and the non-off-arrival flight stock data into a local database of the revenue management system.
The state judging module is used for judging the sales state of the designated cabin of the designated flight according to the inventory data.
Specifically, the sales state of the specified cabin of the specified flight is identified according to the data acquisition points of the specified airlines, the flight information of the specified airlines, the inventory data of the specified flights and the like, and the sales state comprises locking cabin, opening cabin and the like, and specific identification logic is as follows:
when the available seat number of the designated cabin is smaller than or equal to zero, the available state is open and closed, and the designated cabin is in a non-saleable state, namely the lock cabin;
the available seat number of the designated cabin is larger than zero, the available state is closed, and the designated cabin is in a non-saleable state; namely a lock cabin;
the available seat number of the designated cabin is larger than zero, the available state is open, and the designated cabin is in a saleable state; namely, opening the cabin;
the calculation execution module is used for processing the sales state based on a preset algorithm to obtain a market demand value.
Specifically, when the method is realized, the sales state is processed by using a market demand value calculation formula of a specified cabin of a specified flight, and the specific logic is as follows:
if the sales state of the data acquisition point DCP (n+1) is under-deck, and the sales state of the data acquisition point DCP (n) is under-deck; or the sales state of the data acquisition point DCP (n) is a lock cabin according to the sales state of the acquisition point DCP (n+1) as an open cabin; or the sales state of the data acquisition point DCP (n) is the lock cabin according to the sales state of the acquisition point DCP (n+1).
The number of seats ordered at data acquisition point (n) is increased compared with data acquisition point (n+1): then equation 1 is used:
the seat value variation value increment value = actual seat value DCP (n+1) -actual seat value DCP (n);
the market demand value of DCP (n+1) is calculated using equation 3:
historical seat value change value = historical actual seat value DCP (n+1) -historical actual seat value DCP (n).
The market demand value of DCP (n+1) is calculated using equation 3:
market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value).
If the sales state of the data acquisition point DCP (n+1) is the cabin opening, and the sales state of the data acquisition point DCP (n) is the cabin locking; or the sales state of the data acquisition point DCP (n) is the lock cabin according to the sales state of the acquisition point DCP (n+1).
If the data acquisition point (n) is less ordered than the data acquisition point (n+1), then equation 2 is used:
booking reduction change value= (actual booking value DCP (n+1) x market demand value (n))/actual booking value DCP (n) -market demand value (n);
the market demand value of DCP (n+1) is calculated using equation 4:
historical seat value variation value= ((actual seat value DCP (n+1) x market demand value DCP (n))/actual seat value DCP (n)) -market demand value DCP (n);
the market demand value of DCP (n+1) is calculated using equation 5:
market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value).
Notably, are: the calculation of the market demand value is an iterative process, that is, the market demand value of DCP (1) is equal to the actual seat reservation value, and the market demand value of dcp+=1 is calculated iteratively.
As can be seen from the above technical solution, the present embodiment provides a computing device for changing market demand values based on market demand, where the computing device is specifically configured to obtain flight information of a specified flight of a specified airline company; acquiring inventory data of two adjacent data acquisition points of a designated flight based on flight information, wherein the inventory data comprises available seat values of each cabin of the designated flight, cabin availability status information and booking values; judging the sales state of the designated cabin according to the inventory data; and processing the sales state of the designated cabin based on a preset algorithm to obtain the market demand value of the designated cabin. The market demand value is important basic data of the revenue management system, so that the purpose of providing the important basic data of the appointed flight of the appointed airline company for the revenue management system of the airline company is achieved.
In addition, in a specific embodiment of the present application, the following steps may be further implemented:
firstly, according to inventory data of a specified cabin of a specified flight, extracting inventory data of DCP (n+1); and determining the sales state of the DCP (n+1) of the specified cabin of the specified flight according to the inventory data of the DCP (n+1) of the specified cabin of the specified flight.
Then, according to the inventory data of the specified cabin of the specified flight, extracting the inventory data of the DCP (n); and determining the sales state of the DCP (n) of the specified cabin of the specified flight according to the inventory data of the DCP (n) of the specified cabin of the specified flight.
Thereafter, if the DCP (n+1) number of seats is increased, formula 1: actual booking value increment value = actual booking value DCP (n+1) -actual booking value DCP (n);
if the inventory status of DCP (n+1) is in hold, the inventory status of DCP (n) is post. The inventory status of DCP (n+1) is lock pod, and the inventory status of DCP (n) is lock pod or open pod.
Equation 3 historical seat value variation value = historical actual seat value DCP (n + 1) -historical actual seat value DCP (n),
equation 5: market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value)
If the booking number decreases, equation 2 actual booking value decrease value= (actual booking value DCP (n+1) -market demand value (n))/actual booking value DCP (n) -market demand value (n);
if the inventory status of DCP (n+1) is lock pod, the inventory status of DCP (n) is open or lock pod.
Equation 4 historical seat value variation value = ((actual seat value DCP (n+1) ×market demand value DCP (n))/actual seat value DCP (n)) -market demand value DCP (n)),
equation 5 market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value).
From the above description, it can be seen that the following technical effects are achieved in the embodiments of the present application: acquiring data acquisition point information of a designated flight; acquiring flight information of a designated flight of a designated airline company; acquiring inventory data and information of two adjacent data acquisition points of a designated flight, wherein the inventory data and information comprise: each position of the flight can use the seat value, the position stock state information and the booking value; judging the sales state of the appointed cabin through the inventory data and the information of the appointed cabin of the two adjacent data acquisition points of the appointed flight; the market demand value of the specified cabin by specifying the sales state of the cabin by the specified flight and the calculation method of the application to the latest data acquisition point.
By the method, the technical problem of low efficiency caused by no calculation and application of the market demand value in the prior art and the operation behavior of the market demand value are solved, and the aim of improving the identification efficiency of the market demand value management and control operation behavior is fulfilled.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the application.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
The foregoing has outlined rather broadly the more detailed description of the application in order that the detailed description of the application that follows may be better understood, and in order that the present principles and embodiments may be better understood; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. A method of calculating a market demand value based on a change in market demand, comprising the steps of:
acquiring flight information of a designated flight of a designated airline company;
acquiring inventory data of two adjacent data acquisition points DCP (n) and DCP (n+1) of the appointed flight based on the flight information, wherein the inventory data comprises available seat values, available state information of the seats and booking values of the seats of the appointed flight;
judging the sales state of the designated cabin according to the inventory data;
processing the sales state of the designated cabin based on a preset first formula, a preset third formula and a preset fifth formula, or a preset second formula, a preset fourth formula and the preset fifth formula to obtain a market demand value of the designated cabin;
equation 1: actual booking value increment value = actual booking value DCP (n+1) -actual booking value DCP (n);
equation 3: historical seat value change value = historical actual seat value DCP (n+1) -historical actual seat value DCP (n);
equation 5: market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value);
equation 2: actual booking value reduction value= (actual booking value DCP (n+1) -market demand value (n))/actual booking value DCP (n) -market demand value (n);
equation 4: historical seat value variation value= ((actual seat value DCP (n+1) ×market demand value DCP (n))/actual seat value DCP (n)) -market demand value DCP (n);
equation 5: market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value).
2. The computing method of claim 1, wherein the acquiring flight information of the specified flight of the specified airline comprises the steps of:
acquiring the flight number of the appointed flight;
the flight information and the data acquisition point are obtained from the local according to the flight number, wherein the flight information comprises part or all of the flight number, the flight departure date, and the number of days that the data acquisition point and the data acquisition point are away from the appointed flight departure time;
and sorting and warehousing the flight information and the data acquisition points.
3. The computing method of claim 1, wherein the inventory data includes departure flight inventory data and non-departure flight inventory data, the acquiring inventory data for two adjacent data acquisition points of the specified flight based on the flight information comprising the steps of:
acquiring flight stock data of the departure flight of the designated flight, which takes the current date as a reference, for three years past, and taking the flight stock data as the departure flight stock data;
determining, based on the inventory data of the departure flight, flight inventory data of the specified flight for a next year based on a system date as the non-departure flight data;
classifying and warehousing the departure flight stock data and the non-departure flight stock data.
4. The computing method of claim 1, wherein the determining the sales status of the specified bunk based on the inventory data comprises the steps of:
and judging the total quantity and the increment of each data acquisition point by utilizing the inventory data to obtain the sales state of the designated cabin.
5. The computing method of claim 1, wherein the sales status of the specified bunk is processed based on a preset algorithm to obtain a market demand value for the specified bunk, comprising the steps of:
and calculating the sales state by using different calculation formulas according to the acquired sales states of the specified cabin of the airlines at different data acquisition points to obtain the market demand value.
6. A computing device for market demand values based on changes in market demand, comprising:
a first acquisition module configured to acquire flight information of a specified flight of a specified airline;
a second acquisition module configured to acquire inventory data of two adjacent data acquisition points DCP (n) and DCP (n+1) of the specified flight based on the flight information, the inventory data including each of a seat available value, a seat available state information, and a seat booking value of the specified flight;
the state judging module is configured to judge the sales state of the designated cabin according to the inventory data;
the calculation execution module is configured to process the sales state of the specified cabin based on a preset first formula, a preset third formula and a preset fifth formula or a preset second formula, a preset fourth formula and the fifth formula to obtain a market demand value of the specified cabin;
equation 1: actual booking value increment value = actual booking value DCP (n+1) -actual booking value DCP (n);
equation 3: historical seat value change value = historical actual seat value DCP (n+1) -historical actual seat value DCP (n);
equation 5: market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value);
equation 2: actual booking value reduction value= (actual booking value DCP (n+1) -market demand value (n))/actual booking value DCP (n) -market demand value (n);
equation 4: historical seat value variation value= ((actual seat value DCP (n+1) ×market demand value DCP (n))/actual seat value DCP (n)) -market demand value DCP (n);
equation 5: market demand value DCP (n+1) =market demand value DCP (n) +max ((actual seat value increase value or actual seat value decrease value), historical seat value change value).
7. The computing device of claim 6, wherein the first acquisition module comprises:
a first acquiring unit configured to acquire a flight number of the specified flight;
a second obtaining unit, configured to obtain the flight information and the data acquisition point from the local according to the flight number, where the flight information includes part or all of the flight number, a flight departure date, and a number of days that the data acquisition point and the data acquisition point are away from the specified flight departure time;
and the first warehousing unit is used for sorting and warehousing the flight information and the data acquisition points.
8. The computing device of claim 6, wherein the inventory data comprises departure flight inventory data and non-departure flight inventory data, the second acquisition module comprising:
a third acquiring unit configured to acquire flight inventory data of an outgoing flight of three years past based on a current date of the specified flight, as the outgoing flight inventory data;
a fourth acquisition unit configured to determine, based on the inventory data of the departure flight, flight inventory data of the specified flight for the next year based on a system date, as the non-departure flight data;
and the second warehousing unit is used for classifying and warehousing the departure flight stock data and the unopened flight stock data.
9. The computing device of claim 6, wherein the status determination module is specifically configured to determine a sales status of the designated bunk using the inventory data at the full and incremental amounts of each of the data collection points.
10. The computing device of claim 6, wherein the computing execution module is specifically configured to calculate the sales status using different computing formulas based on the obtained sales status of the specified bunk of the airline at different data collection points to obtain the market demand value.
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