CN116596168A - Airport luggage information synchronization and prediction method and system - Google Patents
Airport luggage information synchronization and prediction method and system Download PDFInfo
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Abstract
The invention belongs to the technical field of baggage security inspection, and relates to a method and a system for synchronizing and predicting airport baggage information. The method comprises the steps of detecting and identifying the luggage to obtain luggage information; positioning the storage device on the luggage; writing the time data, the user identity information and the luggage information into a positioning storage device, and recording and uploading the luggage position data by the positioning storage device; establishing a baggage arrival duration prediction model; training a model; predicting the luggage transportation time; uploading the predicted result data of the baggage transportation duration to a server; the server transmits the prediction result data to the user terminal. The user can acquire the luggage position data in real time; the trained luggage arrival duration prediction model can accurately predict luggage transportation duration, so that a user can conveniently obtain the time for completing luggage transportation through a user terminal, and the user riding experience is improved; after passing the authentication request, the server sends the prediction result data to the user terminal, so that the user privacy and the luggage information safety are ensured.
Description
Technical Field
The invention belongs to the technical field of baggage security inspection, and particularly relates to a method and a system for synchronizing and predicting airport baggage information.
Background
With the continuous development of economy and traffic, more and more people select baggage for transportation for convenience of travel. When the conventional luggage is checked and weighed by manual inspection, a worker is labeled, whether prohibited articles are carried in the luggage is detected by security inspection, and the luggage which cannot be carried and accords with the luggage check rule of an airport is required to be checked.
In the process of baggage consignment, as more airport personnel exist, the baggage is easy to be placed in disorder, and a user cannot track the baggage; in the process of baggage consignment, after baggage arrives, the arrival time of the baggage cannot be known, and the process of waiting for the arrival of the baggage by a user can influence the experience of a passenger; the prior art lacks a method to enable a user to remotely obtain baggage information in real time.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a system for synchronizing and predicting airport luggage information.
In a first aspect, the present invention provides a method for synchronizing and predicting airport baggage information, comprising:
the baggage passes through the baggage inspection channel, and the baggage inspection equipment performs inspection and identification on the baggage to obtain baggage information;
positioning, storing and installing equipment is used for arranging the positioning, storing and installing equipment on the luggage after the luggage information is detected;
the data processing end performs format conversion on the time data, the user identity information and the luggage information and then writes the format conversion into the positioning storage equipment, and the positioning storage equipment records the luggage position data and uploads the luggage position data to the server;
after the transportation of the luggage is completed, the data processing end reads the time data, the user identity information and the luggage information in the positioning storage equipment, acquires luggage transportation duration data according to the time data, extracts luggage characteristic data from the luggage information, and establishes a database by utilizing the luggage transportation duration data and the luggage characteristic data;
establishing a baggage arrival time prediction model by utilizing the baggage characteristic data and the baggage transportation time data in the database;
training the baggage arrival duration prediction model by utilizing data in the database;
predicting the baggage transportation time length by using the trained baggage arrival time length prediction model to obtain prediction result data of the baggage transportation time length of each piece of baggage;
the data processing end uploads the predicted result data of the baggage transportation duration to a server;
and the user sends the user identity information and the authentication request to a server through the user terminal to obtain the authority, and the server sends the luggage position data and the predicted result data of the luggage transportation duration to the user terminal after passing the authentication request.
In a second aspect, the invention provides an airport luggage information synchronizing and predicting system, which comprises a plurality of luggage detection channels, a data processing end, a server end and a user terminal;
the luggage detection channel is provided with luggage detection equipment and positioning, storing and mounting equipment; the positioning storage installation device is used for arranging the positioning storage device on the luggage; the baggage inspection device is configured to identify baggage information; the positioning storage device is used for storing time data, user identity information and the luggage information, recording luggage position data and uploading the luggage position data to the server;
the data processing end is provided with a data read-write unit, a data processing unit and a database unit; the data read-write unit is used for carrying out format conversion on the time data, the user identity information and the luggage information in the positioning storage equipment and reading and writing; the data processing unit acquires the baggage transportation duration data according to the time data, extracts baggage characteristic data from the baggage information, establishes a database unit by utilizing the baggage transportation duration data and the baggage characteristic data, establishes a baggage arrival duration prediction model, trains the baggage arrival duration prediction model by utilizing the data in the database unit, predicts the baggage transportation duration by utilizing the trained baggage arrival duration prediction model, obtains the prediction result data of the baggage transportation duration of each baggage, and uploads the prediction result data to a server side;
the server side is used for receiving the luggage position data of each piece of luggage and the predicted result data of the luggage transportation duration and sending the luggage position data and the predicted result data to the user terminal;
the user terminal is used for sending the user identity information and the authentication request to a server and receiving the luggage position data and the predicted result data of the luggage transportation duration sent by the server.
The beneficial effects of the invention are as follows:
(1) According to the invention, after the luggage information is detected, the locating storage installation equipment sets the locating storage equipment on the luggage, and the locating storage equipment records the luggage position data and uploads the luggage position data to the server, so that a user can acquire the luggage position data in real time in the luggage transportation process;
(2) According to the invention, the data in the database is utilized to train the baggage arrival time prediction model, the baggage transportation time can be accurately predicted through the trained baggage arrival time prediction model, a user can conveniently obtain the time of baggage transportation completion through a user terminal such as a mobile phone, a tablet and the like, and the user riding experience is improved;
(3) The user sends user identity information and an authentication request to the server through the user terminal, and after the server passes the authentication request, the luggage position data and the predicted result data of the luggage transportation duration are sent to the user terminal, so that the user can only inquire personal information, and the user privacy and the luggage information safety are ensured.
On the basis of the technical scheme, the invention can be improved as follows.
Further, using the baggage characteristic data and the baggage transportation duration data in the database, establishing a baggage arrival duration prediction model, including:
the luggage detection equipment detects luggage information and classifies the luggage information according to the safety level of the identified luggage item type to obtain luggage safety level data;
acquiring luggage quality data and volume data from the luggage information;
taking the baggage security level data, the quality data and the volume data as the baggage characteristic data;
and taking the luggage characteristic data as input of a GA-BP neural network model, taking the luggage transportation time length as output of the GA-BP neural network model, and establishing a luggage arrival time length prediction model.
Further, the GA-BP neural network model comprises an input layer, a hidden layer and an output layer, the number of the luggage characteristic data is used as the number of nodes of the input layer of the GA-BP neural network model, the luggage transportation time length is used as the number of nodes of the output layer of the GA-BP neural network model, and the number of the hidden layer nodes of the GA-BP neural network model is determined based on a trial-and-error method; and training and learning the initial weight and the threshold value of each layer in the input layer, the hidden layer and the output layer of the GA-BP neural network model by using sample data and a genetic algorithm in the database, and determining the optimal initial weight and the threshold value of each layer to obtain the optimized GA-BP neural network model.
Further, the method for arranging the positioning storage device on the luggage by the positioning storage installation device comprises the following steps: the positioning storage installation device is glued on the surface of the positioning storage device, and the positioning storage device is adhered to the outer side of the luggage.
Further, the positioning storage device comprises a positioning module and an electronic tag; the data read-write unit comprises a data transmission interface and an electronic tag reader-writer; the positioning module is in electrical signal connection with the data processing unit through the data transmission interface; the electronic tag reader-writer is connected with the data processing unit through an electric signal.
Further, the positioning storage device also comprises a microprocessor and a wireless data module; the positioning module and the wireless data module are respectively connected with the microprocessor through electrical signals.
Further, the baggage inspection apparatus is provided with a weight sensor for detecting quality data of baggage; the luggage detection equipment is provided with a plurality of length measuring sensors for measuring the length information of the luggage in all directions; and the data processing end calculates the volume data of the luggage according to the length information of each direction of the luggage.
Drawings
FIG. 1 is a schematic diagram of a method for synchronizing and predicting baggage information in an airport according to embodiment 1 of the present invention;
fig. 2 is a schematic diagram of an airport luggage information synchronizing and predicting system according to embodiment 2 of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Example 1
As an embodiment, as shown in fig. 1, to solve the above technical problem, the present embodiment provides a method for synchronizing and predicting airport luggage information, including:
the baggage passes through the baggage inspection channel, and the baggage inspection equipment performs inspection and identification on the baggage to obtain baggage information;
positioning the storage installation device to set the positioning storage device on the luggage after the luggage information is detected;
the data processing end performs format conversion on the time data, the user identity information and the luggage information, and then writes the format conversion into the positioning storage device, and the positioning storage device records the luggage position data and uploads the luggage position data to the server;
after the transportation of the baggage is completed, the data processing end reads time data, user identity information and baggage information in the positioning storage device, acquires baggage transportation duration data according to the time data, extracts baggage characteristic data from the baggage information, and establishes a database by utilizing the baggage transportation duration data and the baggage characteristic data;
establishing a baggage arrival duration prediction model by utilizing the baggage characteristic data and the baggage transportation duration data in the database;
training a luggage arrival duration prediction model by utilizing data in a database;
predicting the baggage transportation time length by using the trained baggage arrival time length prediction model to obtain the prediction result data of the baggage transportation time length of each baggage;
the data processing end uploads the predicted result data of the baggage transportation duration to the server;
the user sends user identity information and authentication request acquisition permission to the server through the user terminal, and the server sends luggage position data and luggage transportation duration prediction result data to the user terminal after passing the authentication request.
Specifically, the luggage passes through the luggage detection channel, luggage detection equipment detects and identifies the luggage to obtain luggage information, and optionally, the luggage detection equipment adopts a security check instrument to acquire luggage image data, extracts characteristics of the luggage image data, compares the characteristics with data in an image characteristic database, completes image identification to obtain luggage information, and the luggage information comprises article name information and article use information.
After the luggage information is detected, the positioning storage installation equipment sets the positioning storage equipment on the luggage, the luggage is tracked after the luggage enters the luggage detection channel, the luggage information stored by the positioning storage equipment is read by the data processing end, and the effective utilization of the luggage information obtained by detection and identification is realized. The positioning storage device also stores time data, and the data processing end obtains the luggage transportation duration according to the arrival time of the luggage and the time data of the luggage passing through the luggage detection channel after the luggage transportation is completed.
After the luggage information is detected, the positioning storage installation equipment sets the positioning storage equipment on the luggage, and the positioning storage equipment records the luggage position data and uploads the luggage position data to the server, so that the user can acquire the luggage position data in real time in the luggage transportation process.
The data in the database is utilized to train the baggage arrival time prediction model, the baggage transportation time can be accurately predicted through the trained baggage arrival time prediction model, a user can conveniently obtain the time of baggage transportation completion through a user terminal such as a mobile phone, a tablet and the like, and the user riding experience is improved.
The user sends user identity information and an authentication request to the server through the user terminal, and after the server passes the authentication request, the luggage position data and the predicted result data of the luggage transportation duration are sent to the user terminal, so that the user can only inquire personal information, and the user privacy and the luggage information safety are ensured.
Optionally, the method for establishing the baggage arrival duration prediction model by using the baggage characteristic data and the baggage transportation duration data in the database comprises the following steps:
the luggage detection equipment detects luggage information and classifies the luggage information according to the safety level of the identified luggage item type to obtain luggage safety level data;
acquiring luggage quality data and volume data from luggage information;
taking the luggage safety grade data, the quality data and the volume data as luggage characteristic data;
and taking the luggage characteristic data as the input of the GA-BP neural network model, taking the luggage transportation time length as the output of the GA-BP neural network model, and establishing a luggage arrival time length prediction model.
In the practical application process, the baggage is classified according to the name of the baggage object obtained by image recognition and the application of the baggage, and in the baggage safety inspection rule, the objects which are carried by a system passenger and can be taken as the baggage for consignment comprise cutters, small-sized precise instruments, electric appliances, sports equipment, pets and the like. These items are potentially dangerous and require separate shipments that are classified with ordinary living goods using a security level classification.
Optionally, the GA-BP neural network model comprises an input layer, a hidden layer and an output layer, the number of the luggage characteristic data is used as the number of nodes of the input layer of the GA-BP neural network model, the luggage transportation time length is used as the number of nodes of the output layer of the GA-BP neural network model, and the number of the hidden layer nodes of the GA-BP neural network model is determined based on a trial-and-error method; and training and learning the initial weight and the threshold value of each layer in the input layer, the hidden layer and the output layer of the GA-BP neural network model by using sample data and a genetic algorithm in a database, and determining the optimal initial weight and the threshold value of each layer to obtain the optimized GA-BP neural network model.
In the practical application process, the luggage transportation time is obtained through the GA-BP neural network model, so that the luggage transportation time has the advantages of accurate and reliable prediction, the user can obtain the predicted time of luggage consignment arrival, and the passenger experience of the user luggage consignment is improved.
Optionally, the method for positioning the storage installation device to set the storage device on the luggage includes: the positioning storage installation equipment is glued on the surface of the positioning storage equipment, and the positioning storage equipment is adhered to the outer side of the luggage.
In the practical application process, the surface of the positioning storage device is coated with the glue, so that the positioning storage device can be fixed on the luggage, the operation is convenient, and the efficiency is high.
Example 2
Based on the same principle as the method shown in the embodiment 1 of the present invention, as shown in fig. 2, the embodiment of the present invention further provides an airport luggage information synchronization and prediction system, which includes a plurality of luggage detection channels, a data processing end, a server end and a user terminal;
the luggage detection channel is provided with luggage detection equipment and positioning, storing and installing equipment; the positioning storage installation device is used for arranging the positioning storage device on the luggage; the luggage detection device is used for identifying luggage information; the positioning storage device is used for storing time data, user identity information and luggage information, recording luggage position data and uploading the luggage position data to the server;
the data processing end is provided with a data read-write unit, a data processing unit and a database unit; the data read-write unit is used for carrying out format conversion on time data, user identity information and luggage information in the positioning storage equipment and reading and writing; the data processing unit acquires the baggage transportation duration data according to the time data, extracts the baggage characteristic data from the baggage information, establishes a database unit by utilizing the baggage transportation duration data and the baggage characteristic data, establishes a baggage arrival duration prediction model, trains the baggage arrival duration prediction model by utilizing the data in the database unit, predicts the baggage transportation duration by utilizing the trained baggage arrival duration prediction model, obtains the prediction result data of the baggage transportation duration of each baggage, and uploads the prediction result data to the server side;
the server side is used for receiving the luggage position data of each piece of luggage and the predicted result data of the luggage transportation time length and sending the luggage position data and the predicted result data to the user terminal;
and the user terminal is used for sending the user identity information and the authentication request to the server and receiving the luggage position data and the predicted result data of the luggage transportation duration sent by the server.
Optionally, the positioning storage device includes a positioning module and an electronic tag; the data read-write unit comprises a data transmission interface and an electronic tag reader-writer; the positioning module is in electrical signal connection with the data processing unit through a data transmission interface; the electronic tag reader-writer is connected with the data processing unit through an electric signal.
In the practical application process, the positioning module can select a GPS positioning module, the electronic tag can select an RFID electronic tag, the data read-write unit adopts an RFID electronic tag reader-writer, the GPS positioning module can upload the position data of the current luggage in real time, the user can check the position of the current luggage in real time through the user terminal, the RFID electronic tag can realize contactless data read-write, the data read-write efficiency is improved, and the RFID electronic tag has the advantage of easy installation.
Optionally, the positioning storage device further comprises a microprocessor and a wireless data module; the positioning module and the wireless data module are respectively connected with the microprocessor through electrical signals.
In the practical application process, the positioning storage device adopts a wireless data transmission mode to realize remote data transmission, and is beneficial to a user to acquire real-time position data of the luggage through the user terminal.
Optionally, the baggage inspection device is provided with a weight sensor for detecting quality data of the baggage; the luggage detection equipment is provided with a plurality of length measuring sensors for measuring the length information of the luggage in all directions; the data processing end calculates the volume data of the luggage according to the length information of each direction of the luggage.
In the practical application process, the mass data and the volume data in the luggage characteristic data are measured by arranging a weight sensor and a length measuring sensor in the luggage detection channel.
After the luggage information is detected, the positioning storage installation equipment sets the positioning storage equipment on the luggage, and the positioning storage equipment records the luggage position data and uploads the luggage position data to the server, so that a user can acquire the luggage position data in real time in the luggage transportation process;
the system trains the baggage arrival time prediction model by utilizing the data in the database, and can accurately predict the baggage transportation time by the trained baggage arrival time prediction model, so that a user can conveniently acquire the time of baggage transportation completion by a user terminal such as a mobile phone, a tablet and the like, and the user riding experience is improved;
the user of the system sends user identity information and an authentication request to the server through the user terminal, and after the server passes the authentication request, the predicted result data of the luggage position data and the luggage transportation duration are sent to the user terminal, so that the user can only inquire personal information, and the user privacy and the luggage information safety are ensured.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The airport luggage information synchronization and prediction method is characterized by comprising the following steps:
the baggage passes through the baggage inspection channel, and the baggage inspection equipment performs inspection and identification on the baggage to obtain baggage information;
positioning, storing and installing equipment is used for arranging the positioning, storing and installing equipment on the luggage after the luggage information is detected;
the data processing end performs format conversion on the time data, the user identity information and the luggage information and then writes the format conversion into the positioning storage equipment, and the positioning storage equipment records the luggage position data and uploads the luggage position data to the server;
after the transportation of the luggage is completed, the data processing end reads the time data, the user identity information and the luggage information in the positioning storage equipment, acquires luggage transportation duration data according to the time data, extracts luggage characteristic data from the luggage information, and establishes a database by utilizing the luggage transportation duration data and the luggage characteristic data;
establishing a baggage arrival time prediction model by utilizing the baggage characteristic data and the baggage transportation time data in the database;
training the baggage arrival duration prediction model by utilizing data in the database;
predicting the baggage transportation time length by using the trained baggage arrival time length prediction model to obtain prediction result data of the baggage transportation time length of each piece of baggage;
the data processing end uploads the predicted result data of the baggage transportation duration to a server;
and the user sends the user identity information and the authentication request to a server through the user terminal to obtain the authority, and the server sends the luggage position data and the predicted result data of the luggage transportation duration to the user terminal after passing the authentication request.
2. The airport luggage information synchronizing and predicting method of claim 1, wherein using said luggage characteristic data and said luggage transportation duration data in said database, establishing a luggage arrival duration prediction model comprises:
the luggage detection equipment detects luggage information and classifies the luggage information according to the safety level of the identified luggage item type to obtain luggage safety level data;
acquiring luggage quality data and volume data from the luggage information;
taking the baggage security level data, the quality data and the volume data as the baggage characteristic data;
and taking the luggage characteristic data as input of a GA-BP neural network model, taking the luggage transportation time length as output of the GA-BP neural network model, and establishing a luggage arrival time length prediction model.
3. The airport luggage information synchronizing and predicting method according to claim 2, wherein the GA-BP neural network model includes an input layer, a hidden layer and an output layer, the number of luggage characteristic data is used as the number of nodes of the input layer of the GA-BP neural network model, the luggage transportation time is used as the number of nodes of the output layer of the GA-BP neural network model, and the number of hidden layer nodes of the GA-BP neural network model is determined based on a trial-and-error method; and training and learning the initial weight and the threshold value of each layer in the input layer, the hidden layer and the output layer of the GA-BP neural network model by using sample data and a genetic algorithm in the database, and determining the optimal initial weight and the threshold value of each layer to obtain the optimized GA-BP neural network model.
4. The airport luggage information synchronizing and predicting method of claim 1, wherein the positioning storage installing apparatus is arranged on the luggage by the method of: the positioning storage installation device is glued on the surface of the positioning storage device, and the positioning storage device is adhered to the outer side of the luggage.
5. The airport luggage information synchronization and prediction system is characterized by comprising a plurality of luggage detection channels, a data processing end, a server end and a user terminal;
the luggage detection channel is provided with luggage detection equipment and positioning, storing and mounting equipment; the positioning storage installation device is used for arranging the positioning storage device on the luggage; the baggage inspection device is configured to identify baggage information; the positioning storage device is used for storing time data, user identity information and the luggage information, recording luggage position data and uploading the luggage position data to the server;
the data processing end is provided with a data read-write unit, a data processing unit and a database unit; the data read-write unit is used for carrying out format conversion on the time data, the user identity information and the luggage information in the positioning storage equipment and reading and writing; the data processing unit acquires the baggage transportation duration data according to the time data, extracts baggage characteristic data from the baggage information, establishes a database unit by utilizing the baggage transportation duration data and the baggage characteristic data, establishes a baggage arrival duration prediction model, trains the baggage arrival duration prediction model by utilizing the data in the database unit, predicts the baggage transportation duration by utilizing the trained baggage arrival duration prediction model, obtains the prediction result data of the baggage transportation duration of each baggage, and uploads the prediction result data to a server side;
the server side is used for receiving the luggage position data of each piece of luggage and the predicted result data of the luggage transportation duration and sending the luggage position data and the predicted result data to the user terminal;
the user terminal is used for sending the user identity information and the authentication request to a server and receiving the luggage position data and the predicted result data of the luggage transportation duration sent by the server.
6. The airport luggage information synchronizing and predicting system of claim 5, wherein said positioning storage device comprises a positioning module and an electronic tag; the data read-write unit comprises a data transmission interface and an electronic tag reader-writer; the positioning module is in electrical signal connection with the data processing unit through the data transmission interface; the electronic tag reader-writer is connected with the data processing unit through an electric signal.
7. The airport luggage information synchronizing and predicting system of claim 5, wherein said positioning memory device further comprises a microprocessor and a wireless data module; the positioning module and the wireless data module are respectively connected with the microprocessor through electrical signals.
8. The airport luggage information synchronizing and predicting system of claim 5, wherein said luggage detecting device is provided with a weight sensor for detecting the quality data of luggage; the luggage detection equipment is provided with a plurality of length measuring sensors for measuring the length information of the luggage in all directions; and the data processing end calculates the volume data of the luggage according to the length information of each direction of the luggage.
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