CN117408437B - Civil aviation cabin service method, system and equipment - Google Patents

Civil aviation cabin service method, system and equipment Download PDF

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CN117408437B
CN117408437B CN202311634089.2A CN202311634089A CN117408437B CN 117408437 B CN117408437 B CN 117408437B CN 202311634089 A CN202311634089 A CN 202311634089A CN 117408437 B CN117408437 B CN 117408437B
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time
cabin
available
aircraft
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CN117408437A (en
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陈璞
冯天美
蒋怀宇
张璇
徐援
范莹
傅聪
杨磊
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Zhuhai Xiangyi Aviation Technology Co Ltd
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Abstract

The invention belongs to the field of cabin service, and particularly relates to a method, a system and equipment for civil aviation cabin service, which aim to solve the problems that in the prior art, the time for developing cabin service is inaccurate and the influence of airport operation and channel flow control cannot be considered. The invention comprises the following steps: acquiring weather forecast information before the aircraft takes off; fitting the weather forecast information and the flight plan data to obtain actual weather information at each moment; calculating a plurality of service time periods to be available based on the actual weather information; and based on the acquired first service duration and service times, arranging the cabin service to a corresponding service time period to be available through a pre-constructed service time dynamic planning method. The invention can give the optimal cabin service period with minute-level precision, eliminates the interference to weather forecast caused by the actual operation of the flight, and realizes the cabin service period fitting of minute-level.

Description

Civil aviation cabin service method, system and equipment
Technical Field
The invention belongs to the field of cabin service, and particularly relates to a method, a system and equipment for civil aviation cabin service.
Background
In the prior art, a cloud image or an air pressure and forecast image is generally used for judging the period of relatively stable and low bumping risk of the civil aviation aircraft in the flight process according to the manual experience through weather forecast. And then plan the time that is favorable to the cabin service in the flight of civil aviation flight, and prior art has following several points shortcoming:
1. by using an artificial means, the time period suitable for developing cabin service in the civil aviation flight process can be deduced only by knowledge and experience through a weather forecast graph, enough precision cannot be achieved, most of domestic flights have short flight range time, the time window for cabin service is small, and more accurate service time planning is needed.
2. The flight departure time is generally influenced by airport operation and channel flow control, and great uncertainty exists, so that the prior art cannot consider the factors, and the optimal service period in the flight process cannot be accurately predicted.
Based on the method, the system and the equipment, the invention provides a civil aviation cabin service method, a system and equipment.
Disclosure of Invention
In order to solve the problems in the prior art, namely the problem that the time for developing the cabin service in the prior art is inaccurate and the influence of airport operation and channel flow control cannot be considered, the invention provides a method, a system and equipment for the civil aviation cabin service.
In one aspect of the present invention, a method for civil aviation passenger cabin service is provided for calculating an optimal passenger cabin service time after take-off of an aircraft, the method comprising:
acquiring weather forecast information of different moments of each waypoint in a flight navigation route of an aircraft in a first preset time before the aircraft takes off; the weather forecast information comprises longitude and latitude, altitude, airflow bump index, thunderstorm sign and time stamp;
fitting the weather forecast information and flight plan data to obtain actual weather information of the aircraft at each moment in the flight route; the flight plan data comprise the moment, longitude and latitude and altitude of the aircraft to fly to each waypoint calculated based on the actual take-off time of the aircraft;
acquiring walking risk time of the aircraft in a cruising stage based on the actual meteorological information, and acquiring a plurality of service time periods to be available by combining the time of the aircraft climbing stage and the time of the aircraft landing stage;
based on the acquired first service duration and service times, arranging the first type of cabin service input by a user to a corresponding service time period to be available through a pre-constructed service time dynamic planning method; the first type is a cabin service type corresponding to cabin service input by a user; the first service duration is the minimum service duration corresponding to the first type.
In some preferred embodiments, the risk of travel time of the aircraft during the cruise phase is obtained by:
obtaining cb value and edr value; the cb value is a thunderstorm sign value, wherein thunderstorm is 0 and not 1; taking the corrected edr value as a airflow bump index edr';
when the cb value is 0 or the edr 'value is smaller than the time corresponding to the set threshold value, taking the cb value or the edr' value as the travel risk time of the aircraft in the cruising stage;
the edr' acquisition method comprises the following steps:
edr' = 0.9857L-R*L*edr;
where edr is the weather forecast initial airflow bump index, L is the length of the aircraft, and R is the distance of the sensor from the aircraft head within the aircraft.
In some preferred embodiments, the first type of cabin services is arranged in ascending order of grade as water, water meal water; the first service duration corresponding to the first type after the first type is arranged in an ascending order is as follows: first time, second time, third time.
In some preferred embodiments, the cabin services entered by the user are arranged to corresponding service periods to be available by a pre-built service time dynamic planning method, which is:
step S10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step S20, sequentially obtaining the remaining available time periods of the service time periods to be available according to the first sequence, and taking the remaining available time periods as the first time periods, wherein the remaining available time periods are longer than the service time periods to be available corresponding to the first service time periods of the nth cabin service; arranging the nth cabin service in a first time period of a preceding ordering;
step S30, determining whether n is smaller than the service number, if not, ending, if yes, letting n=n+1, and jumping to step S20.
In some preferred embodiments, the cabin services entered by the user are arranged to corresponding service periods to be available by a pre-built service time dynamic planning method, which is:
step A10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step A20, sequentially obtaining the remaining available time lengths of the service time periods to be available according to the first sequence, judging whether the remaining available time length is larger than the first service time length corresponding to the nth cabin service, setting the nth cabin service in the first time period with the corresponding service time period to be available as the first time period, and jumping to the step A30; if not, jumping to the step A40;
step a30, judging whether n is smaller than the service times, if not, ending, if yes, making n=n+1, and jumping to step a20;
and step A40, reducing the service standard of the cabin service corresponding to the cabin service type by one grade, and jumping to the step A20.
In some preferred embodiments, the cabin services entered by the user are arranged to corresponding service periods to be available by a pre-built service time dynamic planning method, which is:
step B10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step B20, sequentially obtaining the remaining available time lengths of the service time periods to be available according to the first sequence, judging whether the remaining available time length is larger than the first service time length corresponding to the nth cabin service, taking the service time period to be available as the first time period, arranging the nth cabin service in the first time period with the prior sequencing, and jumping to the step B30; if not, jumping to the step B40;
step B30, judging whether n is smaller than the service times, if not, ending, if yes, making n=n+1, and jumping to step B20;
and step B40, reducing the service standard of the cabin service corresponding to the nth cabin service by one grade, and jumping to step B20, and ending when the grade of the cabin service type is the lowest grade and the n is smaller than or equal to the service times.
In some preferred embodiments, when the class of the cabin service type is the lowest class and the n is less than or equal to the number of service times, the remaining available time length closest to the first service duration of the corresponding cabin service is output to a service end, where the service end is a display screen that can be observed by a service person.
In another aspect of the present invention, a civil aviation cabin service system is presented, the system comprising:
the weather forecast information acquisition module is configured to acquire weather forecast information of different moments of each waypoint in a flight navigation route of the aircraft in a first preset time before the aircraft takes off; the weather forecast information comprises longitude and latitude, altitude, airflow bump index, thunderstorm sign and time stamp;
the fitting module is configured to fit the weather forecast information with flight plan data to obtain actual weather information of the aircraft at each moment in a flight route; the flight plan data comprise the moment, longitude and latitude and altitude of the aircraft to fly to each waypoint calculated based on the actual take-off time of the aircraft;
the time acquisition module is configured to acquire the walking risk time of the aircraft in a cruising stage based on the actual meteorological information, and acquire a plurality of service time periods to be available by combining the time of the aircraft climbing stage and the time of the aircraft landing stage;
the service scheduling module is configured to schedule the first type of cabin service input by the user to a corresponding service time period to be available through a pre-constructed service time dynamic programming method based on the acquired first service duration and service times; the first type is a cabin service type corresponding to cabin service input by a user; the first service duration is the minimum service duration corresponding to the first type.
In a third aspect of the present invention, an electronic device is provided, including:
at least one processor; and
a memory communicatively coupled to at least one of the processors; wherein,
the memory stores instructions executable by the processor for execution by the processor to implement a method of civil aviation passenger service as described above.
In a fourth aspect of the present invention, a computer readable storage medium is provided, the computer readable storage medium storing computer instructions for execution by the computer to implement a method of civil aviation passenger cabin service as described above.
The invention has the beneficial effects that:
(1) The invention is used for calculating the bump index during flight of the flight through preloading high-precision weather forecast, fitting with flight plan data, calculating and giving out the optimal cabin service period with minute-level precision by using a backtracking method and greedy algorithm.
(2) According to the invention, through a mobile equipment program, an operator is allowed to input the actual take-off time of the flight, the flight time, the position coordinate point and the weather forecast are accurately fitted according to the flight data of the flight plan, the interference caused by the actual operation of the flight on the weather forecast is eliminated, and the passenger cabin service period fitting of the minute class is realized.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:
FIG. 1 is a flow chart of a method of civil aviation passenger cabin service of the present invention;
FIG. 2 is a schematic illustration of the proposed cabin service time in a method of civil aviation cabin service according to the present invention;
FIG. 3 is a schematic illustration of the structure of a civil aviation cabin service system of the present invention;
FIG. 4 is a schematic diagram of a computer system for a server implementing embodiments of the methods, systems, and apparatus of the present application.
Detailed Description
The present application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
As shown in fig. 1-2, the present invention provides a service method for a civil aviation passenger cabin, the method comprising:
acquiring weather forecast information of different moments of each waypoint in a flight navigation route of an aircraft in a first preset time before the aircraft takes off; the weather forecast information comprises longitude and latitude, altitude, airflow bump index, thunderstorm sign and time stamp;
fitting the weather forecast information and flight plan data to obtain actual weather information of the aircraft at each moment in the flight route; the flight plan data comprise the moment, longitude and latitude and altitude of the aircraft to fly to each waypoint calculated based on the actual take-off time of the aircraft;
acquiring walking risk time of the aircraft in a cruising stage based on the actual meteorological information, and acquiring a plurality of service time periods to be available by combining the time of the aircraft climbing stage and the time of the aircraft landing stage;
based on the acquired first service duration and service times, arranging the first type of cabin service input by a user to a corresponding service time period to be available through a pre-constructed service time dynamic planning method; the first type is a cabin service type corresponding to cabin service input by a user; the first service duration is the minimum service duration corresponding to the first type.
In order to more clearly describe a service method for a civil aviation passenger cabin of the present invention, each step of the embodiment of the present invention will be described in detail with reference to fig. 1.
The method for serving a civil aviation passenger cabin according to the first embodiment of the present invention is described in detail as follows:
acquiring weather forecast information of different moments of each waypoint in a flight navigation route of an aircraft in a first preset time before the aircraft takes off; the weather forecast information comprises longitude and latitude, altitude, airflow bump index, thunderstorm sign and time stamp;
in the invention, the latest weather forecast, which is a grib2 file, is obtained from a weather service provider about 30 minutes before take-off of the flight. The civil aircraft electronic flight plan may be obtained from the operating department of the airline. And after the Grib2 data is analyzed, extracting thunderstorm and airflow information at different moments of each coordinate point. The weather forecast analysis result data structure of a single coordinate point at a certain moment is as follows: { "effort": 40.3, "longitude":100.1, "height":300, "cb":0, "edr":4, "unixtime":1693116992}
Where latitude is latitude, longitude is longitude, height is altitude, cb is thunderstorm sign, edr is initial airflow bump index for weather forecast, unix is time stamp.
Wherein the first preset time is 0-60 minutes, and in this embodiment, 30 minutes is preferred.
Fitting the weather forecast information and flight plan data to obtain actual weather information of the aircraft at each moment in the flight route; the flight plan data comprises the moment, longitude and latitude and altitude of the aircraft flying to each waypoint calculated based on the actual take-off time of the aircraft.
Wherein the actual weather information includes thunderstorm and jolt information.
As shown in fig. 2, based on the actual meteorological information, acquiring the walking risk time of the aircraft in a cruising stage, and acquiring a plurality of service time periods to be available by combining the time of the aircraft climbing stage and the time of the aircraft landing stage;
in the present embodiment, the time of the aircraft climbing phase and the aircraft landing phase are both set to 30 minutes.
In the invention, the walking risk time of the aircraft in the cruising stage is obtained by the method that: obtaining cb value and edr value; the cb value is a thunderstorm sign value, wherein thunderstorm is 0 and not 1; taking the corrected edr value as a airflow bump index edr';
when the cb value is 0 or the edr 'value is smaller than the time corresponding to the set threshold value, taking the cb value or the edr' value as the travel risk time of the aircraft in the cruising stage;
the edr' acquisition method comprises the following steps:
edr' = 0.9857L-R*L*edr;
where L is the length of the aircraft and R is the distance of the sensor from the aircraft head within the aircraft.
Based on the acquired first service duration and service times, arranging the first type of cabin service input by a user to a corresponding service time period to be available through a pre-constructed service time dynamic planning method; the first type is a cabin service type corresponding to cabin service input by a user; the first service duration is the minimum service duration corresponding to the first type.
The first type of the cabin service is arranged into water, water meal and water meal water according to the ascending order of the grades; the first service duration corresponding to the first type after the first type is arranged in an ascending order is as follows: first time, second time, third time.
Wherein the user is a crew member.
The pre-constructed service time dynamic programming method is constructed based on a greedy algorithm and a backtracking method.
In this example, the first time was 10 minutes, the second time was 25 minutes, and the third time was 40 minutes.
The invention arranges the cabin service input by the user to the corresponding service time period to be available through a pre-constructed service time dynamic programming method, which comprises the following steps:
step S10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step S20, sequentially obtaining the remaining available time periods of the service time periods to be available according to the first sequence, and taking the remaining available time periods as the first time periods, wherein the remaining available time periods are longer than the service time periods to be available corresponding to the first service time periods of the nth cabin service; arranging the nth cabin service in a first time period of a preceding ordering;
step S30, determining whether n is smaller than the service number, if not, ending, if yes, letting n=n+1, and jumping to step S20.
The time dynamic planning method is a situation in which all cabin services can be arranged into service time periods to be available.
In the present invention, when all cabin services cannot be fully scheduled to the service period to be available, two methods are included:
the first method is as follows:
step A10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step A20, sequentially obtaining the remaining available time lengths of the service time periods to be available according to the first sequence, judging whether the remaining available time length is larger than the first service time length corresponding to the nth cabin service, setting the nth cabin service in the first time period with the corresponding service time period to be available as the first time period, and jumping to the step A30; if not, jumping to the step A40;
step a30, judging whether n is smaller than the service times, if not, ending, if yes, making n=n+1, and jumping to step a20;
and step A40, reducing the service standard of the cabin service corresponding to the cabin service type by one grade, and jumping to the step A20.
Wherein the first method is a case where cabin services which are not scheduled into the service period to be available can be all scheduled into the service period to be available after the class is reduced.
The second method is as follows:
step B10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step B20, sequentially obtaining the remaining available time lengths of the service time periods to be available according to the first sequence, judging whether the remaining available time length is larger than the first service time length corresponding to the nth cabin service, taking the service time period to be available as the first time period, arranging the nth cabin service in the first time period with the prior sequencing, and jumping to the step B30; if not, jumping to the step B40;
step B30, judging whether n is smaller than the service times, if not, ending, if yes, making n=n+1, and jumping to step B20;
and step B40, reducing the service standard of the cabin service corresponding to the nth cabin service by one grade, and jumping to step B20, and ending when the grade of the cabin service type is the lowest grade and the n is smaller than or equal to the service times.
Wherein the second method is a case where cabin services which are not scheduled into the service period to be available are not all scheduled into the service period to be available after the class is reduced.
And when the class of the cabin service type is the lowest class and the n is smaller than or equal to the service times, outputting the remaining available time length closest to the first service time length of the corresponding cabin service to a service end, wherein the service end is a display screen which can be observed by service personnel. At this time, service personnel can judge whether to carry out cabin service according to actual conditions by oneself.
Although the steps are described in the above-described sequential order in the above-described embodiments, it will be appreciated by those skilled in the art that in order to achieve the effects of the present embodiments, the steps need not be performed in such order, and may be performed simultaneously (in parallel) or in reverse order, and such simple variations are within the scope of the present invention.
Referring to fig. 3, a second embodiment of the present invention provides a civil aviation passenger cabin service system, the system comprising:
the weather forecast information acquisition module is configured to acquire weather forecast information of different moments of each waypoint in a flight navigation route of the aircraft in a first preset time before the aircraft takes off; the weather forecast information comprises longitude and latitude, altitude, airflow bump index, thunderstorm sign and time stamp;
the fitting module is configured to fit the weather forecast information with flight plan data to obtain actual weather information of the aircraft at each moment in a flight route; the flight plan data comprise the moment, longitude and latitude and altitude of the aircraft to fly to each waypoint calculated based on the actual take-off time of the aircraft;
the time acquisition module is configured to acquire the walking risk time of the aircraft in a cruising stage based on the actual meteorological information, and acquire a plurality of service time periods to be available by combining the time of the aircraft climbing stage and the time of the aircraft landing stage;
the service scheduling module is configured to schedule the first type of cabin service input by the user to a corresponding service time period to be available through a pre-constructed service time dynamic programming method based on the acquired first service duration and service times; the first type is a cabin service type corresponding to cabin service input by a user; the first service duration is the minimum service duration corresponding to the first type.
It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the system described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated here.
It should be noted that, in the foregoing embodiment, the passenger cabin service system is only illustrated by the division of the foregoing functional modules, in practical application, the foregoing functional allocation may be performed by different functional modules according to needs, that is, the modules or steps in the foregoing embodiment of the present invention are further decomposed or combined, for example, the modules in the foregoing embodiment may be combined into one module, or may be further decomposed into a plurality of sub-modules, so as to complete all or part of the functions described above. The names of the modules and steps related to the embodiments of the present invention are merely for distinguishing the respective modules or steps, and are not to be construed as unduly limiting the present invention.
An electronic device of a third embodiment of the present invention includes:
at least one processor; and
a memory communicatively coupled to at least one of the processors; wherein,
the memory stores instructions executable by the processor for execution by the processor to implement a method of civil aviation passenger service as described above.
A fourth embodiment of the present invention is a computer-readable storage medium storing computer instructions for execution by the computer to implement a method of civil aviation passenger cabin service as described above.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the storage device and the processing device described above and the related description may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
Those of skill in the art will appreciate that the various illustrative modules, method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the program(s) corresponding to the software modules, method steps, may be embodied in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art. To clearly illustrate this interchangeability of electronic hardware and software, various illustrative components and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as electronic hardware or software depends upon the particular application and design constraints imposed on the solution. Those skilled in the art may implement the described functionality using different approaches for each particular application, but such implementation is not intended to be limiting.
Referring now to FIG. 4, there is shown a block diagram of a computer system for a server implementing embodiments of the methods, systems, and apparatus of the present application. The server illustrated in fig. 4 is merely an example, and should not be construed as limiting the functionality and scope of use of the embodiments herein.
As shown in fig. 4, the computer system includes a central processing unit (CPU, central Processing Unit) 401, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage section 408 into a random access Memory (RAM, random Access Memory) 403. In the RAM403, various programs and data required for the system operation are also stored. The CPU 401, ROM 402, and RAM403 are connected to each other by a bus 404. An Input/Output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output portion 407 including a Cathode Ray Tube (CRT), a liquid crystal display (LCD, liquid Crystal Display), and the like, a speaker, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN (local area network ) card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. The above-described functions defined in the method of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 401. It should be noted that the computer readable medium described in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations of the present application may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The terms "first," "second," and the like, are used for distinguishing between similar objects and not for describing a particular sequential or chronological order.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus/apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus/apparatus.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.

Claims (5)

1. A method of civil aviation passenger cabin service for calculating an optimal passenger cabin service time after a take-off of a flight, the method comprising the steps of:
acquiring weather forecast information of different moments of each waypoint in a flight navigation route of an aircraft in a first preset time before the aircraft takes off; the weather forecast information comprises longitude and latitude, altitude, airflow bump index, thunderstorm sign and time stamp;
fitting the weather forecast information and flight plan data to obtain actual weather information of the aircraft at each moment in the flight route; the flight plan data comprise the moment, longitude and latitude and altitude of the aircraft to fly to each waypoint calculated based on the actual take-off time of the aircraft;
acquiring walking risk time of the aircraft in a cruising stage based on the actual meteorological information, and acquiring a plurality of service time periods to be available by combining the time of the aircraft climbing stage and the time of the aircraft landing stage;
based on the acquired first service duration and service times, arranging the first type of cabin service input by a user to a corresponding service time period to be available through a pre-constructed service time dynamic planning method; the first type is a cabin service type corresponding to cabin service input by a user; the first service duration is the minimum service duration corresponding to the first type; the method for acquiring the travel risk time of the aircraft in the cruising stage comprises the following steps:
obtaining cb value and edr value; the cb value is a thunderstorm sign value, wherein thunderstorm is 0 and not 1; taking the corrected edr value as a airflow bump index edr';
when the cb value is 0 or the edr 'value is smaller than the time corresponding to the set threshold value, taking the cb value or the edr' value as the travel risk time of the aircraft in the cruising stage;
the edr' acquisition method comprises the following steps:
edr' = 0.9857L-R*L*edr;
wherein edr is the initial airflow bump index of the weather forecast, L is the length of the aircraft, and R is the distance between the sensor and the head of the aircraft in the aircraft;
the first type of the cabin service is arranged into water, water meal and water meal water according to the ascending order of the grades; the first service duration corresponding to the first type after the first type is arranged in an ascending order is as follows: the first time, the second time and the third time;
the passenger cabin service input by a user is arranged to a corresponding service time period to be available through a pre-constructed service time dynamic planning method, and the method comprises the following steps:
step S10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step S20, sequentially obtaining the remaining available time periods of the service time periods to be available according to the first sequence, and taking the remaining available time periods as the first time periods, wherein the remaining available time periods are longer than the service time periods to be available corresponding to the first service time periods of the nth cabin service; arranging the nth cabin service in a first time period of a preceding ordering;
step S30, judging whether n is smaller than the service number, if not, ending, if yes, making n=n+1, and jumping to step S20;
or, the cabin service input by the user is arranged to the corresponding service time period to be available by a pre-constructed service time dynamic planning method, which comprises the following steps:
step A10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step A20, sequentially obtaining the remaining available time lengths of the service time periods to be available according to the first sequence, judging whether the remaining available time length is larger than the first service time length corresponding to the nth cabin service, setting the nth cabin service in the first time period with the corresponding service time period to be available as the first time period, and jumping to the step A30; if not, jumping to the step A40;
step a30, judging whether n is smaller than the service times, if not, ending, if yes, making n=n+1, and jumping to step a20;
step A40, reducing the service standard of the cabin service corresponding to the cabin service type by one grade, and jumping to the step A20;
or, the cabin service input by the user is arranged to the corresponding service time period to be available by a pre-constructed service time dynamic planning method, which comprises the following steps:
step B10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step B20, sequentially obtaining the remaining available time lengths of the service time periods to be available according to the first sequence, judging whether the remaining available time length is larger than the first service time length corresponding to the nth cabin service, taking the service time period to be available as the first time period, arranging the nth cabin service in the first time period with the prior sequencing, and jumping to the step B30; if not, jumping to the step B40;
step B30, judging whether n is smaller than the service times, if not, ending, if yes, making n=n+1, and jumping to step B20;
and step B40, reducing the service standard of the cabin service corresponding to the nth cabin service by one grade, and jumping to step B20, and ending when the grade of the cabin service type is the lowest grade and the n is smaller than or equal to the service times.
2. The method for civil aviation passenger cabin service according to claim 1, wherein when the class of the passenger cabin service type is the lowest class, the n is less than or equal to the number of service times, the remaining available time length closest to the first service duration of the corresponding passenger cabin service is output to a service end, and the service end is a display screen which can be observed by service personnel.
3. A civil aviation passenger cabin service system, a method of civil aviation passenger cabin service based on any one of claims 1-2, characterized in that the system comprises:
the weather forecast information acquisition module is configured to acquire weather forecast information of different moments of each waypoint in a flight navigation route of the aircraft in a first preset time before the aircraft takes off; the weather forecast information comprises longitude and latitude, altitude, airflow bump index, thunderstorm sign and time stamp;
the fitting module is configured to fit the weather forecast information with flight plan data to obtain actual weather information of the aircraft at each moment in a flight route; the flight plan data comprise the moment, longitude and latitude and altitude of the aircraft to fly to each waypoint calculated based on the actual take-off time of the aircraft;
the time acquisition module is configured to acquire the walking risk time of the aircraft in a cruising stage based on the actual meteorological information, and acquire a plurality of service time periods to be available by combining the time of the aircraft climbing stage and the time of the aircraft landing stage;
the method for acquiring the travel risk time of the aircraft in the cruising stage comprises the following steps:
obtaining cb value and edr value; the cb value is a thunderstorm sign value, wherein thunderstorm is 0 and not 1; taking the corrected edr value as a airflow bump index edr';
when the cb value is 0 or the edr 'value is smaller than the time corresponding to the set threshold value, taking the cb value or the edr' value as the travel risk time of the aircraft in the cruising stage;
the edr' acquisition method comprises the following steps:
edr' = 0.9857L-R*L*edr;
wherein edr is the initial airflow bump index of the weather forecast, L is the length of the aircraft, and R is the distance between the sensor and the head of the aircraft in the aircraft;
the service scheduling module is configured to schedule the first type of cabin service input by the user to a corresponding service time period to be available through a pre-constructed service time dynamic programming method based on the acquired first service duration and service times; the first type is a cabin service type corresponding to cabin service input by a user; the first service duration is the minimum service duration corresponding to the first type;
the first type of the cabin service is arranged into water, water meal and water meal water according to the ascending order of the grades; the first service duration corresponding to the first type after the first type is arranged in an ascending order is as follows: the first time, the second time and the third time;
the passenger cabin service input by a user is arranged to a corresponding service time period to be available through a pre-constructed service time dynamic planning method, and the method comprises the following steps:
step S10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step S20, sequentially obtaining the remaining available time periods of the service time periods to be available according to the first sequence, and taking the remaining available time periods as the first time periods, wherein the remaining available time periods are longer than the service time periods to be available corresponding to the first service time periods of the nth cabin service; arranging the nth cabin service in a first time period of a preceding ordering;
step S30, judging whether n is smaller than the service number, if not, ending, if yes, making n=n+1, and jumping to step S20;
or, the cabin service input by the user is arranged to the corresponding service time period to be available by a pre-constructed service time dynamic planning method, which comprises the following steps:
step A10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step A20, sequentially obtaining the remaining available time lengths of the service time periods to be available according to the first sequence, judging whether the remaining available time length is larger than the first service time length corresponding to the nth cabin service, setting the nth cabin service in the first time period with the corresponding service time period to be available as the first time period, and jumping to the step A30; if not, jumping to the step A40;
step a30, judging whether n is smaller than the service times, if not, ending, if yes, making n=n+1, and jumping to step a20;
step A40, reducing the service standard of the cabin service corresponding to the cabin service type by one grade, and jumping to the step A20;
or, the cabin service input by the user is arranged to the corresponding service time period to be available by a pre-constructed service time dynamic planning method, which comprises the following steps:
step B10, arranging the service time periods to be available according to the flight time, and taking the arrangement order as a first order;
step B20, sequentially obtaining the remaining available time lengths of the service time periods to be available according to the first sequence, judging whether the remaining available time length is larger than the first service time length corresponding to the nth cabin service, taking the service time period to be available as the first time period, arranging the nth cabin service in the first time period with the prior sequencing, and jumping to the step B30; if not, jumping to the step B40;
step B30, judging whether n is smaller than the service times, if not, ending, if yes, making n=n+1, and jumping to step B20;
and step B40, reducing the service standard of the cabin service corresponding to the nth cabin service by one grade, and jumping to step B20, and ending when the grade of the cabin service type is the lowest grade and the n is smaller than or equal to the service times.
4. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to at least one of the processors; wherein,
the memory stores instructions executable by the processor for execution by the processor to implement a method of civil aviation passenger cabin service of any one of claims 1-2.
5. A computer readable storage medium having stored thereon computer instructions for execution by the computer to implement a method of civil aviation passenger cabin service as claimed in any one of claims 1-2.
CN202311634089.2A 2023-12-01 2023-12-01 Civil aviation cabin service method, system and equipment Active CN117408437B (en)

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