CN117993803B - Intelligent management system and method for luggage tractor of civil aviation airport - Google Patents
Intelligent management system and method for luggage tractor of civil aviation airport Download PDFInfo
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Abstract
The invention relates to the technical field of airport intelligent management, and discloses an intelligent management system and method for a luggage tractor of a civil aviation airport, comprising the following steps: the intelligent management system and the method for the civil aviation airport luggage tractor determine the riding habit of the passengers according to the historical data of the passengers, determine the picking-up sequence of the luggage carried by the passengers according to the seat distribution of the passengers and the riding habit of the passengers, reduce the waiting time of the passengers in the process of picking up the luggage, avoid affecting the subsequent journey of the passengers, improve the efficiency of luggage picking-up and avoid the conditions of personnel congestion and luggage loss.
Description
Technical Field
The invention relates to the technical field of airport intelligent management, in particular to an intelligent management system and method for a luggage tractor of a civil aviation airport.
Background
The intelligent management system and the intelligent management method for the luggage tractor of the civil aviation airport can realize real-time monitoring and management of the luggage tractor by integrating an information technology and an internet of things technology, and comprise the following steps: the intelligent management system and the intelligent management method for the luggage tractor of the civil aviation airport can improve luggage transportation efficiency, reduce labor cost and increase safety and reliability, and are one of the development trends of the future civil aviation transportation industry;
The intelligent equipment such as a sensor, a GPS device, a communication module and the like is needed to be mounted on the luggage tractor and used for positioning and monitoring information such as vehicle states, driving routes and the like, the central monitoring system is responsible for intensively monitoring information of all luggage tractor, including positions, running states, working tasks and the like, and can provide a remote control function, the data analysis and processing system is used for processing and analyzing data transmitted by the luggage tractor and providing functions such as statistical analysis, prediction maintenance and the like, the running efficiency is improved and the maintenance plan is optimized, the intelligent scheduling algorithm intelligently schedules tasks of the luggage tractor through the algorithm, the optimal route planning is realized, waiting and congestion time is reduced, the running efficiency is improved, the safety monitoring system monitors the safety states of the luggage tractor in real time, including conditions such as vehicle speeds, emergency braking, overspeed, collision and the like, early warning and timely processes potential risks, and the user interface provides a user-friendly interface, so that an operator can intuitively monitor and manage the luggage tractor, and give and feed back related instructions;
The existing intelligent management system and method for the luggage tractor of the civil aviation airport cannot judge the boarding habits of passengers according to the historical data of the passengers, and cannot determine the picking-up sequence of the luggage carried by the passengers according to the seat distribution of the passengers and the boarding habits of the passengers, so that the passengers can generate time waste in the luggage picking-up process, the passengers can influence the subsequent journey, and the practicability of the intelligent management system and method is limited to a certain extent.
Disclosure of Invention
The invention provides an intelligent management system and method for a luggage tractor of a civil aviation airport, which are used for promoting solving of the problems in the background technology.
The invention provides the following technical scheme: an intelligent management system for a luggage tractor of a civil aviation airport, comprising:
And the acquisition module is used for: the passenger history information acquisition module is used for acquiring passenger position information and passenger history passenger records;
and an analysis module: judging the placing position of the passenger luggage through a data analysis strategy according to the passenger position information and the passenger history riding record;
And a transmission module: the passenger luggage truck comprises a luggage tractor, wherein the luggage tractor is connected with a transport carriage, and is used for transporting passenger luggage from a luggage consignment position to an aircraft cargo hold position and transporting the passenger luggage from the aircraft cargo hold position to a luggage extraction position, so that the passenger luggage is placed in the aircraft cargo hold position and the luggage extraction position;
And (3) a transportation module: the passenger baggage handling system comprises a transportation device which places passenger baggage in a transportation compartment and an aircraft cargo compartment according to the placement position of the passenger baggage and according to a baggage position analysis strategy.
The invention also discloses a method for using the intelligent management system of the luggage tractor of the civil aviation airport, wherein: the data analysis strategy comprises a passenger position analysis strategy, and specifically comprises the following steps:
Acquiring an airplane seat distribution map of a target flight;
acquiring the aircraft aisle position of a target flight;
acquiring the aircraft door position of a target flight;
the aircraft aisle is positioned at a first position close to one side of an aircraft door;
Positioning the aircraft aisle away from the aircraft door side in a second position;
Taking each aircraft seat on the target flight as an origin, drawing a vertical line to the aircraft aisle, and determining the vertical line as a target vertical line, wherein the vertical point of the target vertical line is a row number position and is marked as A;
Sequentially sequencing each aircraft seat by taking the direction from the first position to the second position as the positive direction according to the row number positions to form a first sequence set (A1, the first sequence set A);
Obtaining the value of a target vertical line of each aircraft seat, and marking the value as B;
forming a second sequential set (B1, B2, B3) from small to large according to the value of the target vertical line;
According to the first sequence set and the second sequence set, for the distance between each aircraft seat and aircraft door, a distance sequence set (A1B 1, A1B2, A1B3,..35, anB1, anB, anB 3) is formed, wherein the distance sequence set is the baggage extraction sequence of each passenger on the target flight, wherein if the two distance sequences are the same, the two distance sequences are arranged in any order.
As a method of the present invention, a system for intelligent management of luggage tractor in civil aviation airport, wherein: the data analysis strategy comprises a passenger habit judging strategy, and specifically comprises the following steps:
Executing a machine-off time length judging strategy;
Acquiring the number of passengers of a target flight, wherein if a passenger has a history of taking a ride without a passenger, the number of passengers=the number of statistical passengers of the target flight-the number of passengers without the history of taking a ride with a passenger, and if all the passengers have the history of taking a ride, the number of passengers=the number of statistical passengers of the target flight, and the number of statistical passengers of the target flight is the total number of passengers of the target flight counted by a system;
Acquiring average departure time TA of each passenger of the target flight;
obtaining a target average speed V;
Acquiring a target distance, wherein the target distance is the distance between a departure gate of a target flight and a baggage extracting place of the target flight;
calculating the estimated walking time length of each passenger, wherein the estimated walking time length is the time length from the departure gate of the target flight to the luggage extraction position of the target flight, and the estimated walking time length = target average speed V x target distance;
Calculating the estimated average departure time length of the target flight, wherein the estimated average departure time length= (the sum of the average departure time lengths TA of each passenger/(the number of passengers) + (the sum of the estimated travel time lengths of each passenger/(the number of passengers));
comparing the average getting-off time length TA+the estimated walking time length of each passenger with the estimated average getting-off time length, and forming a judgment result of getting-off habit of the passenger;
if the average getting-off time TA+the expected walking time is greater than the expected average getting-off time X (1+45%), judging that the passenger arrives at the baggage picking-up place late;
if the average getting-off time TA+the expected walking time is less than the expected average getting-off time X (1-45%), judging that the passenger arrives at the baggage extracting place early;
if the average getting-off time length TA+the expected walking time length is less than or equal to the expected average getting-off time length (1+45%) and the average getting-off time length TA+the expected walking time length is more than or equal to the expected average getting-off time length (1-45%), the passenger is judged to arrive at the baggage picking place normally.
As a method of the present invention, a system for intelligent management of luggage tractor in civil aviation airport, wherein: the executing the off-machine duration judging strategy specifically comprises the following steps:
acquiring a passenger history boarding record of each passenger of the target flight, wherein the passenger history boarding record comprises a history flight arrival time, a history passenger departure time, an arrival time of a history arrival baggage extraction place and a history target distance, and the history target distance is a distance between a history flight departure opening and the baggage extraction place;
calculating the departure time length of each time of taking a passenger, and marking the departure time length as TE, wherein the departure time length TE=the historical departure time of the passenger and the historical flight arrival time;
Acquiring historical times of passengers;
calculating average getting-off duration of passengers, and recording the average getting-off duration as TA, wherein the average getting-off duration TA=sum of getting-off duration TE of each riding time/historical times;
Calculating a target duration of each taking of the passenger, namely a target duration TB, wherein the target duration TB is a duration from a flight departure gate to a baggage picking-up place of the passenger, and the target duration TB = a historical arrival time at the baggage picking-up place-a historical passenger departure time;
the target average speed of the passenger is calculated and noted as V, the target average speed v=the sum of the historical target distances +..
As a method of the present invention, a system for intelligent management of luggage tractor in civil aviation airport, wherein: the data analysis strategy comprises a baggage sequence analysis strategy, and specifically comprises the following steps:
Acquiring a distance sequence set;
acquiring passenger position information;
And (5) corresponding the passenger position information to the distance sequence sets one by one to form a new distance sequence set, and executing a baggage sequence adjustment strategy.
As a method of the present invention, a system for intelligent management of luggage tractor in civil aviation airport, wherein: the executing of the baggage order adjustment strategy is specifically as follows:
Acquiring a distance sequence set;
acquiring a judgment result of the getting-off habit of each passenger, wherein if a history taking record of the passenger without the passenger exists, the luggage placement sequence of the passenger without the history taking record of the passenger is the distance sequence corresponding to the seat of the passenger without the history taking record of the passenger in the distance sequence set;
the distance sequence corresponding to the passenger which arrives at the luggage extraction position is judged in the extraction distance sequence set, and a first sub-set is formed;
the distance sequence corresponding to the passenger which is judged to reach the normal luggage extraction position in the extraction distance sequence set is extracted, and a second sub-set is formed;
The distance sequence corresponding to the passenger with the passenger reaching the luggage extraction position is judged in the extraction distance sequence set, and a third sub-set is formed;
Executing subset sort policies on the first subset, the second subset, and the third subset, respectively; acquiring a first order set, a second order set, and a third order set
And updating the sequence of the distance sequence set according to the sequence of the first sequence set, the second sequence set and the third sequence set to form a baggage sequence set, wherein the baggage sequence set is the sequence of finally extracting baggage for each passenger on the target flight.
As a method of the present invention, a system for intelligent management of luggage tractor in civil aviation airport, wherein: the executing subset ordering strategy specifically comprises the following steps:
acquiring a first subset;
sequentially sequencing the first sub-set according to the sequence in the distance sequence set to form a first sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence;
Acquiring a second subset;
sequentially sequencing the second sub-set according to the sequence in the distance sequence set to form a second sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence;
Acquiring a third subset;
and sequentially sequencing the third sub-set according to the sequence in the distance sequence set to form a third sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence.
As a method of the present invention, a system for intelligent management of luggage tractor in civil aviation airport, wherein: the luggage position analysis strategy specifically comprises the following steps:
Acquiring a luggage sequence set;
Forming a placement sequence set according to the reverse sequence of the elements in the luggage sequence set from back to front;
Acquiring the volume of a transport carriage;
acquiring the luggage volume of each passenger for consignment;
determining the number of transport carriages according to the luggage volumes of all passengers of the target flight;
and placing the passenger baggage in the transportation carriage according to the placement sequence set.
As a method of the present invention, a system for intelligent management of luggage tractor in civil aviation airport, wherein: the passenger baggage is placed in a transportation carriage according to the placement sequence set, specifically:
Sequentially placing passenger baggage in a transport carriage from a baggage consignment position according to the sequence from the side close to the baggage tractor to the side far from the baggage tractor;
Sequentially removing passenger baggage from the transport carriage according to the sequence from the side far from the baggage tractor to the side close to the baggage tractor, and sequentially placing the passenger baggage in the aircraft cargo compartment according to the sequence from the bottom to the top and from the interior of the aircraft cargo compartment to the exterior of the aircraft cargo compartment;
sequentially removing passenger baggage from the aircraft cargo hold according to the sequence from the outside of the aircraft cargo hold to the inside of the aircraft cargo hold, and sequentially placing the passenger baggage in the transport compartment according to the sequence from the side close to the baggage tractor to the side far from the baggage tractor from the bottom to the top;
And (3) sequentially moving the passenger baggage out of the transportation carriage according to the sequence from the side far from the baggage tractor to the side close to the baggage tractor from top to bottom, and placing the passenger baggage on a turntable at a baggage extraction position, wherein the sequence of rows Li Chuxian in the turntable is consistent with the sequence of the baggage sequence set.
The invention has the following beneficial effects:
1. According to the intelligent management system and the intelligent management method for the luggage tractor of the civil aviation airport, historical boarding records of passengers are obtained, boarding habits of the passengers are judged according to boarding time in historical data of the passengers, walking time from boarding openings to luggage extraction positions of the passengers is determined according to walking speeds in the historical data of the passengers, whether the luggage extraction sequence of the passengers is consistent with the luggage extraction sequence formed by passenger seats or not is judged according to average time of all the passengers in the whole flight, and the sequence of the passengers arriving at the luggage extraction positions is consistent with the luggage extraction sequence as much as possible, so that waiting time of the passengers in the luggage extraction process is reduced, subsequent journey of the passengers is prevented from being influenced, luggage extraction efficiency is improved, and personnel congestion and luggage loss are avoided.
2. According to the intelligent management system and the intelligent management method for the luggage tractor of the civil aviation airport, the passenger position information and the riding habits of the passengers are obtained, the picking-up sequence of the luggage carried by the passengers is determined according to the seat distribution of the passengers and the riding habits of the passengers, waiting time of the passengers in the luggage picking-up process is shortened, the subsequent journey of the passengers is prevented from being influenced, the luggage picking-up efficiency is improved, and the situation of personnel congestion and luggage loss is avoided.
3. According to the intelligent management system and the intelligent management method for the luggage tractor of the civil aviation airport, the arrangement positions of the luggage in the transport compartment and the cargo compartment of the airplane are determined according to the extraction sequence of the luggage carried by the passenger, so that the sequence of the luggage when the luggage is finally and sequentially arranged at the luggage extraction position is the extraction sequence of the luggage carried by the passenger determined according to the seat distribution of the passenger and the riding habit of the passenger.
Drawings
FIG. 1 is a block diagram of an intelligent management system for a luggage tractor of a civil aviation airport of the present invention;
FIG. 2 is a schematic view of the seating distribution of the aircraft of the present invention.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An intelligent management system for a luggage tractor of a civil aviation airport, referring to fig. 1, includes:
And the acquisition module is used for: the passenger history information acquisition module is used for acquiring passenger position information and passenger history passenger records;
and an analysis module: judging the placing position of the passenger luggage through a data analysis strategy according to the passenger position information and the passenger history riding record;
And a transmission module: the passenger luggage truck comprises a luggage tractor, wherein the luggage tractor is connected with a transport carriage, and is used for transporting passenger luggage from a luggage consignment position to an aircraft cargo hold position and transporting the passenger luggage from the aircraft cargo hold position to a luggage extraction position, so that the passenger luggage is placed in the aircraft cargo hold position and the luggage extraction position;
And (3) a transportation module: including transportation devices, such as mechanical gripping clips, that place passenger baggage in transportation compartments and aircraft cargo holds based on the placement location of the passenger baggage and based on a baggage location analysis strategy.
Through the module, riding habits of passengers are judged according to historical data of the passengers, the picking-up sequence of the luggage checked by the passengers is determined according to seat distribution of the passengers and riding habits of the passengers, waiting time of the passengers in the luggage picking-up process is shortened, follow-up journey of the passengers is avoided, luggage picking-up efficiency is improved, and people congestion and luggage loss are avoided.
In a second embodiment, the present embodiment further discloses a method for using the intelligent management system of the luggage tractor of the civil aviation airport, referring to fig. 2, where the data analysis strategy includes a passenger position analysis strategy, and specifically includes:
Acquiring an airplane seat distribution map of a target flight, as shown in fig. 2;
acquiring the aircraft aisle position of the target flight, as shown in fig. 2;
acquiring the aircraft door position of the target flight, as shown in fig. 2;
Positioning the aircraft aisle adjacent to a side of the aircraft door in a first position, as shown in fig. 2;
Positioning the aircraft aisle away from the aircraft door side in a second position, as shown in fig. 2;
taking each aircraft seat on the target flight as an origin, drawing a vertical line to the aircraft aisle, and determining the vertical line as a target vertical line, wherein the vertical point of the target vertical line is a row number position and is marked as A, as shown in figure 2;
Sequentially sequencing each aircraft seat by taking the direction from the first position to the second position as the positive direction according to the row number positions to form a first sequence set (A1, the first sequence set A);
Obtaining the value of a target vertical line of each aircraft seat, and marking the value as B;
forming a second sequential set (B1, B2, B3) from small to large according to the value of the target vertical line;
According to the first sequence set and the second sequence set, for the distance between each aircraft seat and aircraft door, a distance sequence set (A1B 1, A1B2, A1B3,..35, anB1, anB, anB 3) is formed, wherein the distance sequence set is the baggage extraction sequence of each passenger on the target flight, wherein if the two distance sequences are the same, the two distance sequences are arranged in any order.
In the third embodiment, the present embodiment is an improvement based on the second embodiment, and in this solution, the passenger's habit is different, and the time for getting off and walking is also different, so that the time for each passenger to get to the baggage pickup place is also different.
In this embodiment, the data analysis policy includes a passenger habit determination policy, specifically:
Executing a machine-off time length judging strategy;
Acquiring the number of passengers of a target flight, wherein if a passenger has a history of taking a ride without a passenger, the number of passengers=the number of statistical passengers of the target flight-the number of passengers without the history of taking a ride with a passenger, and if all the passengers have the history of taking a ride, the number of passengers=the number of statistical passengers of the target flight, and the number of statistical passengers of the target flight is the total number of passengers of the target flight counted by a system;
Acquiring average departure time TA of each passenger of the target flight;
obtaining a target average speed V;
Acquiring a target distance, wherein the target distance is the distance between a departure gate of a target flight and a baggage extracting place of the target flight;
calculating the estimated walking time length of each passenger, wherein the estimated walking time length is the time length from the departure gate of the target flight to the luggage extraction position of the target flight, and the estimated walking time length = target average speed V x target distance;
Calculating the estimated average departure time length of the target flight, wherein the estimated average departure time length= (the sum of the average departure time lengths TA of each passenger/(the number of passengers) + (the sum of the estimated travel time lengths of each passenger/(the number of passengers));
comparing the average getting-off time length TA+the estimated walking time length of each passenger with the estimated average getting-off time length, and forming a judgment result of getting-off habit of the passenger;
if the average getting-off time TA+the expected walking time is greater than the expected average getting-off time X (1+45%), judging that the passenger arrives at the baggage picking-up place late;
if the average getting-off time TA+the expected walking time is less than the expected average getting-off time X (1-45%), judging that the passenger arrives at the baggage extracting place early;
if the average getting-off time length TA+the expected walking time length is less than or equal to the expected average getting-off time length (1+45%) and the average getting-off time length TA+the expected walking time length is more than or equal to the expected average getting-off time length (1-45%), the passenger is judged to arrive at the baggage picking place normally.
The executing the machine-starting time length judging strategy specifically comprises the following steps:
acquiring a passenger history boarding record of each passenger of the target flight, wherein the passenger history boarding record comprises a history flight arrival time, a history passenger departure time, an arrival time of a history arrival baggage extraction place and a history target distance, and the history target distance is a distance between a history flight departure opening and the baggage extraction place;
calculating the departure time length of each time of taking a passenger, and marking the departure time length as TE, wherein the departure time length TE=the historical departure time of the passenger and the historical flight arrival time;
Acquiring historical times of passengers;
calculating average getting-off duration of passengers, and recording the average getting-off duration as TA, wherein the average getting-off duration TA=sum of getting-off duration TE of each riding time/historical times;
Calculating a target duration of each taking of the passenger, namely a target duration TB, wherein the target duration TB is a duration from a flight departure gate to a baggage picking-up place of the passenger, and the target duration TB = a historical arrival time at the baggage picking-up place-a historical passenger departure time;
the target average speed of the passenger is calculated and noted as V, the target average speed v=the sum of the historical target distances +..
In a fourth embodiment, the present embodiment is an improvement made on the basis of the third embodiment, and in this embodiment, the data analysis policy includes a baggage sequential analysis policy, specifically:
Acquiring a distance sequence set;
acquiring passenger position information;
and (3) corresponding the passenger position information to the distance sequence sets one by one to form a new distance sequence set, wherein the distance sequence set extracts the initial sequence of the baggage for all passengers on the target flight, and executes a baggage sequence adjustment strategy.
The embodiment further provides that the executing the baggage order adjustment policy specifically includes:
acquiring a distance sequence set, wherein the distance sequence set is a new distance sequence set formed after passenger position information and the distance sequence set are in one-to-one correspondence;
acquiring a judgment result of the getting-off habit of each passenger, wherein if a history taking record of the passenger without the passenger exists, the luggage placement sequence of the passenger without the history taking record of the passenger is the distance sequence corresponding to the seat of the passenger without the history taking record of the passenger in the distance sequence set;
the distance sequence corresponding to the passenger which arrives at the luggage extraction position is judged in the extraction distance sequence set, and a first sub-set is formed;
the distance sequence corresponding to the passenger which is judged to reach the normal luggage extraction position in the extraction distance sequence set is extracted, and a second sub-set is formed;
The distance sequence corresponding to the passenger with the passenger reaching the luggage extraction position is judged in the extraction distance sequence set, and a third sub-set is formed;
Executing subset sort policies on the first subset, the second subset, and the third subset, respectively; acquiring a first order set, a second order set, and a third order set
And updating the sequence of the distance sequence set according to the sequence of the first sequence set, the second sequence set and the third sequence set to form a baggage sequence set, wherein the baggage sequence set is the sequence of finally extracting baggage for each passenger on the target flight.
Wherein, the executing the subset sort policy specifically includes:
acquiring a first subset;
sequentially sequencing the first sub-set according to the sequence in the distance sequence set to form a first sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence;
Acquiring a second subset;
sequentially sequencing the second sub-set according to the sequence in the distance sequence set to form a second sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence;
Acquiring a third subset;
and sequentially sequencing the third sub-set according to the sequence in the distance sequence set to form a third sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence.
In the third embodiment, the present embodiment is an improvement made on the basis of the second embodiment, and in this embodiment, the baggage location analysis policy specifically includes:
Acquiring a luggage sequence set;
Forming a placement sequence set according to the reverse sequence of the elements in the luggage sequence set from back to front;
Acquiring the volume of a transport carriage;
acquiring the luggage volume of each passenger for consignment;
determining the number of transport carriages according to the luggage volumes of all passengers of the target flight;
and placing the passenger baggage in the transportation carriage according to the placement sequence set.
The embodiment also provides that, according to the placement sequence set, the passenger baggage is placed in the transportation carriage, specifically:
Sequentially placing passenger baggage in a transport carriage from a baggage consignment position according to the sequence from the side close to the baggage tractor to the side far from the baggage tractor;
Sequentially removing passenger baggage from the transport carriage according to the sequence from the side far from the baggage tractor to the side close to the baggage tractor, and sequentially placing the passenger baggage in the aircraft cargo compartment according to the sequence from the bottom to the top and from the interior of the aircraft cargo compartment to the exterior of the aircraft cargo compartment;
sequentially removing passenger baggage from the aircraft cargo hold according to the sequence from the outside of the aircraft cargo hold to the inside of the aircraft cargo hold, and sequentially placing the passenger baggage in the transport compartment according to the sequence from the side close to the baggage tractor to the side far from the baggage tractor from the bottom to the top;
And (3) sequentially moving the passenger baggage out of the transportation carriage according to the sequence from the side far from the baggage tractor to the side close to the baggage tractor from top to bottom, and placing the passenger baggage on a turntable at a baggage extraction position, wherein the sequence of rows Li Chuxian in the turntable is consistent with the sequence of the baggage sequence set.
According to the method, the passenger riding habit is judged according to the historical data of the passenger, the picking-up sequence of the luggage checked by the passenger is determined according to the seat distribution of the passenger and the passenger riding habit, waiting time of the passenger in the luggage picking-up process is shortened, follow-up journey of the passenger is prevented from being influenced, luggage picking-up efficiency is improved, and personnel congestion and luggage loss are avoided.
The disclosed embodiments also provide a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the intelligent management system and method of the civil aviation airport luggage tractor in the foregoing method embodiments.
More specific examples of a computer readable storage medium could include a portable computer diskette, a hard disk, an erasable programmable read-only memory (E2 PROM or flash memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, 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, the computer-readable medium being embodied in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, enable the electronic device to implement the solutions provided by the method embodiments described above.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, or combinations thereof, and 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).
It is 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 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.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it will be apparent to those skilled in the art that several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the scope of the invention.
Claims (2)
1. A method for using a civil aviation airport luggage tractor intelligent management system, characterized by: the system comprises an acquisition module: the passenger history information acquisition module is used for acquiring passenger position information and passenger history passenger records; and an analysis module: judging the placing position of the passenger luggage through a data analysis strategy according to the passenger position information and the passenger history riding record; and a transmission module: the passenger luggage truck comprises a luggage tractor, wherein the luggage tractor is connected with a transport carriage, and is used for transporting passenger luggage from a luggage consignment position to an aircraft cargo hold position and transporting the passenger luggage from the aircraft cargo hold position to a luggage extraction position, so that the passenger luggage is placed in the aircraft cargo hold position and the luggage extraction position; and (3) a transportation module: the passenger luggage storage system comprises a transportation device, wherein the transportation device is used for placing the passenger luggage in a transportation carriage and an aircraft cargo compartment according to the placement position of the passenger luggage and according to a luggage position analysis strategy;
the data analysis strategy comprises a passenger position analysis strategy, and specifically comprises the following steps:
Acquiring an airplane seat distribution map of a target flight;
acquiring the aircraft aisle position of a target flight;
acquiring the aircraft door position of a target flight;
the aircraft aisle is positioned at a first position close to one side of an aircraft door;
Positioning the aircraft aisle away from the aircraft door side in a second position;
Taking each aircraft seat on the target flight as an origin, drawing a vertical line to the aircraft aisle, and determining the vertical line as a target vertical line, wherein the vertical point of the target vertical line is a row number position and is marked as A;
Sequentially sequencing each aircraft seat by taking the direction from the first position to the second position as the positive direction according to the row number positions to form a first sequence set (A1, the first sequence set A);
Obtaining the value of a target vertical line of each aircraft seat, and marking the value as B;
forming a second sequential set (B1, B2, B3) from small to large according to the value of the target vertical line;
According to the first sequence set and the second sequence set, for each distance between the aircraft seat and the aircraft door, forming a distance order set (A1B 1, A1B2, A1B3, &.. AnB1, anB2, anB 3), the distance sequence set is the luggage extraction sequence of each passenger on the target airliner, wherein if the two distance sequences are the same, the two distance sequences are arranged in any sequence;
The data analysis strategy comprises a passenger habit judging strategy, and specifically comprises the following steps:
Executing a machine-off time length judging strategy;
Acquiring the number of passengers of a target flight, wherein if a passenger has a history of taking a ride without a passenger, the number of passengers=the number of statistical passengers of the target flight-the number of passengers without the history of taking a ride with a passenger, and if all the passengers have the history of taking a ride, the number of passengers=the number of statistical passengers of the target flight, and the number of statistical passengers of the target flight is the total number of passengers of the target flight counted by a system;
Acquiring average departure time TA of each passenger of the target flight;
obtaining a target average speed V;
Acquiring a target distance, wherein the target distance is the distance between a departure gate of a target flight and a baggage extracting place of the target flight;
calculating the estimated walking time length of each passenger, wherein the estimated walking time length is the time length from the departure gate of the target flight to the luggage extraction position of the target flight, and the estimated walking time length = target average speed V x target distance;
Calculating the estimated average departure time length of the target flight, wherein the estimated average departure time length= (the sum of the average departure time lengths TA of each passenger/(the number of passengers) + (the sum of the estimated travel time lengths of each passenger/(the number of passengers));
comparing the average getting-off time length TA+the estimated walking time length of each passenger with the estimated average getting-off time length, and forming a judgment result of getting-off habit of the passenger;
if the average getting-off time TA+the expected walking time is greater than the expected average getting-off time X (1+45%), judging that the passenger arrives at the baggage picking-up place late;
If the average getting-off time TA+the expected walking time is less than the expected average getting-off time X (1-45%), judging that the passenger arrives at the baggage extracting place early;
If the average getting-off time length TA+the expected walking time length is less than or equal to the expected average getting-off time length (1+45%) and the average getting-off time length TA+the expected walking time length is more than or equal to the expected average getting-off time length (1-45%), judging that the passenger arrives at the baggage extraction place normally;
The executing the off-machine duration judging strategy specifically comprises the following steps:
acquiring a passenger history boarding record of each passenger of the target flight, wherein the passenger history boarding record comprises a history flight arrival time, a history passenger departure time, an arrival time of a history arrival baggage extraction place and a history target distance, and the history target distance is a distance between a history flight departure opening and the baggage extraction place;
calculating the departure time length of each time of taking a passenger, and marking the departure time length as TE, wherein the departure time length TE=the historical departure time of the passenger and the historical flight arrival time;
Acquiring historical times of passengers;
calculating average getting-off duration of passengers, and recording the average getting-off duration as TA, wherein the average getting-off duration TA=sum of getting-off duration TE of each riding time/historical times;
Calculating a target duration of each taking of the passenger, namely a target duration TB, wherein the target duration TB is a duration from a flight departure gate to a baggage picking-up place of the passenger, and the target duration TB = a historical arrival time at the baggage picking-up place-a historical passenger departure time;
Calculating a target average speed of the passenger, denoted as V, the target average speed v=the sum of the historical target distances ++the sum of the target times TB;
the data analysis strategy comprises a baggage sequence analysis strategy, and specifically comprises the following steps:
Acquiring a distance sequence set;
acquiring passenger position information;
the passenger position information is in one-to-one correspondence with the distance sequence sets to form new distance sequence sets, and a baggage sequence adjustment strategy is executed;
the executing of the baggage order adjustment strategy is specifically as follows:
Acquiring a distance sequence set;
acquiring a judgment result of the getting-off habit of each passenger, wherein if a history taking record of the passenger without the passenger exists, the luggage placement sequence of the passenger without the history taking record of the passenger is the distance sequence corresponding to the seat of the passenger without the history taking record of the passenger in the distance sequence set;
the distance sequence corresponding to the passenger which arrives at the luggage extraction position is judged in the extraction distance sequence set, and a first sub-set is formed;
the distance sequence corresponding to the passenger which is judged to reach the normal luggage extraction position in the extraction distance sequence set is extracted, and a second sub-set is formed;
The distance sequence corresponding to the passenger with the passenger reaching the luggage extraction position is judged in the extraction distance sequence set, and a third sub-set is formed;
Executing subset sort policies on the first subset, the second subset, and the third subset, respectively;
acquiring a first order set, a second order set, and a third order set
Updating the sequence of the distance sequence set according to the sequence of the first sequence set, the second sequence set and the third sequence set to form a baggage sequence set, wherein the baggage sequence set is the sequence of finally extracting baggage for each passenger on a target flight;
the executing subset ordering strategy specifically comprises the following steps:
acquiring a first subset;
sequentially sequencing the first sub-set according to the sequence in the distance sequence set to form a first sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence;
Acquiring a second subset;
sequentially sequencing the second sub-set according to the sequence in the distance sequence set to form a second sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence;
Acquiring a third subset;
Sequentially sequencing the third sub-set according to the sequence in the distance sequence set to form a third sequence set, wherein if the two distance sequences are the same, the two distance sequences are randomly arranged in sequence;
the luggage position analysis strategy specifically comprises the following steps:
Acquiring a luggage sequence set;
Forming a placement sequence set according to the reverse sequence of the elements in the luggage sequence set from back to front;
Acquiring the volume of a transport carriage;
acquiring the luggage volume of each passenger for consignment;
determining the number of transport carriages according to the luggage volumes of all passengers of the target flight;
and placing the passenger baggage in the transportation carriage according to the placement sequence set.
2. The method according to claim 1, characterized in that: the passenger baggage is placed in a transportation carriage according to the placement sequence set, specifically:
Sequentially placing passenger baggage in a transport carriage from a baggage consignment position according to the sequence from the side close to the baggage tractor to the side far from the baggage tractor;
Sequentially removing passenger baggage from the transport carriage according to the sequence from the side far from the baggage tractor to the side close to the baggage tractor, and sequentially placing the passenger baggage in the aircraft cargo compartment according to the sequence from the bottom to the top and from the interior of the aircraft cargo compartment to the exterior of the aircraft cargo compartment;
sequentially removing passenger baggage from the aircraft cargo hold according to the sequence from the outside of the aircraft cargo hold to the inside of the aircraft cargo hold, and sequentially placing the passenger baggage in the transport compartment according to the sequence from the side close to the baggage tractor to the side far from the baggage tractor from the bottom to the top;
And (3) sequentially moving the passenger baggage out of the transportation carriage according to the sequence from the side far from the baggage tractor to the side close to the baggage tractor from top to bottom, and placing the passenger baggage on a turntable at a baggage extraction position, wherein the sequence of rows Li Chuxian in the turntable is consistent with the sequence of the baggage sequence set.
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| DE102019124984A1 (en) * | 2019-09-17 | 2021-03-18 | MULAG FAHRZEUGWERK Heinz Wössner GmbH & Co. KG | Method for the safe loading of an aircraft with the checked baggage only of its passengers and device for carrying out the method |
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| GB0327290D0 (en) * | 2003-11-24 | 2003-12-24 | Rolls Royce Plc | Method and system for assisting the passage of an entity through successive zones to a destination |
| FR2999531B1 (en) * | 2012-12-17 | 2016-11-11 | Airbus Operations Sas | AUTOMATED PROCESSING METHOD AND ORDERED LUGGAGE IN AN AIRCRAFT. |
| GB201608205D0 (en) * | 2016-05-10 | 2016-06-22 | Sita Ypenburg Bv And Bluebotics Sa | Item handling system, method and apparatus therefor |
| US10776593B1 (en) * | 2019-04-29 | 2020-09-15 | International Business Machines Corporation | Airline baggage arrangement system |
| US20210035029A1 (en) * | 2019-07-31 | 2021-02-04 | International Business Machines Corporation | Dynamically updating an automated luggage handling system based on changing reservations |
| WO2022003839A1 (en) * | 2020-06-30 | 2022-01-06 | 日本電気株式会社 | Information processing device, information processing method, and recording medium |
| US20230259835A1 (en) * | 2022-02-14 | 2023-08-17 | Rebook Inc. | Systems and methods for facilitating travel |
| JP2023124299A (en) * | 2022-02-25 | 2023-09-06 | 沖電気工業株式会社 | Information processing system, information processing device, information processing method, and information processing program |
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| KR20140146376A (en) * | 2013-06-17 | 2014-12-26 | 한국공항공사 | Method and system for airport baggage handling |
| DE102019124984A1 (en) * | 2019-09-17 | 2021-03-18 | MULAG FAHRZEUGWERK Heinz Wössner GmbH & Co. KG | Method for the safe loading of an aircraft with the checked baggage only of its passengers and device for carrying out the method |
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