CN113723575A - Airport luggage carrying method and system based on motion recognition - Google Patents
Airport luggage carrying method and system based on motion recognition Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
- G06K17/0029—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement being specially adapted for wireless interrogation of grouped or bundled articles tagged with wireless record carriers
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- G—PHYSICS
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- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C9/00—Measuring inclination, e.g. by clinometers, by levels
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention relates to an airport luggage carrying method and system based on motion recognition. The wearable RFID identification and reading equipment collects the carrying action information of a worker through the inertia measurement unit, judges whether the worker is in the carrying action through the action identification model based on machine learning, sorts and assigns scores to the signal intensity of the RFID labels in the range, selects the RFID luggage label closest to the worker in the carrying process as the RFID luggage label of the carrying, and the intelligent terminal matches the luggage information with the task list and feeds back the carrying result. The wearable RFID identification and reading equipment based on motion identification and the intelligent terminal are simple to wear, convenient to use, accurate in identification result, low in system cost and high in portability, do not need to modify the existing sorting turntable facility, and can be rapidly deployed based on the existing facility.
Description
Technical Field
The invention relates to the field of RFID (radio frequency identification) identification, in particular to an airport luggage carrying method and system based on action identification.
Background
With the prosperity of air passenger transportation and logistics, great importance is increasingly placed on the efficient transportation of luggage and goods, and particularly, efficient storage and management of a large amount of goods becomes a very important problem. For such large-scale and various logistics, the leakage, loss or dislocation of the transportation and other events inevitably occur only depending on the human resource management, and the normal operation of the whole system is influenced.
The traditional logistics field uses the bar code as the information carrier, because of bar code label easily causes fold, damaged messenger bar code reading equipment's letter sorting inefficiency in the transportation. Radio Frequency Identification (RFID) technology replaces traditional bar code identification technology, and RFID tags are embedded into electronic tags and can write related information of luggage. In the prior art, an airport luggage auxiliary sorting system is formed by using RFID reader-writer equipment, camera equipment, a photoelectric sensor and intelligent bar code camera equipment. Wherein contain 3 at least RFID antenna equipment, be located the both sides of conveyer belt respectively and be used for luggage status information to read with the bottom, intelligent bar code camera is used for discerning the bar code information of luggage, and photoelectric sensor carries out luggage position detection. After the luggage enters the luggage identification area, the camera device takes a picture of the luggage, the RFID identification device and the intelligent bar code camera identify the information of the luggage, and the picture and the information of the luggage are in a binding relationship and transmitted to the database. When the luggage enters the sorting area, the RFID reading equipment reads information of the luggage strips on the luggage and transmits the information to the database for comparison, the corresponding luggage pictures and flight information in the information of the luggage strips are called, and finally, the auxiliary sorting for workers is displayed on a sorting screen on a sorting line. This method has the following problems: the RFID label is pasted the position and does not need concrete and special requirement, when scanning the region through fixed card reader, and the RFID label is pushed down by the suitcase, will lead to the unable accurate reading of label to know, has increased workman's work load undoubtedly. Meanwhile, the cost for deploying a plurality of fixed card readers is high, and the operation of the mobile card reader is complicated.
Patent CN110163313 discloses the following: and the RFID code reading station is arranged on the flight sorting turntable and used for reading the luggage data conveyed to the sorting turntable after sorting, the data of each link is acquired in the security check system and the luggage sorting system, and the luggage is automatically sorted and reaches the sorting turntable and then is identified whether the luggage is correct or not by the RFID code reading station. The working personnel use the portable RFID to scan the luggage to be loaded, and the background data is compared to judge whether the luggage data is correct. However, this method still requires manual dedicated scanning operation, requires dedicated learning by staff, and is costly in installation of the relevant RFID reader devices.
Disclosure of Invention
The invention aims to provide an airport luggage carrying method and system based on action recognition, which meet the requirement of carrying instantaneity, do not need to independently set a high-cost RFID recognition station, and do not need workers to repeatedly check luggage tags, thereby realizing portable and non-inductive sorting of luggage at the port.
In order to achieve the purpose, the invention provides the following technical scheme:
technical scheme one
An airport baggage handling system based on motion recognition comprising the following devices:
the wearable RFID reading equipment is used for reading the RFID luggage tag;
an RFID luggage tag located on luggage, the RFID luggage tag containing luggage information;
the intelligent terminal is wirelessly connected with the wearable RFID reading equipment;
the wearable RFID reading device and the intelligent terminal are worn on the body of a worker, the wearable RFID reading device records the working state of the worker, the RFID luggage tag closest to the worker in the carrying process is selected as the RFID luggage tag of the carrying, the luggage information of the RFID luggage tag is read, and the luggage information is transmitted to the intelligent terminal.
The wearable RFID reading device comprises a four-arm spiral circularly polarized antenna, and the reading range of the wearable RFID reading device is 0-180 degrees in the horizontal direction, and 20-160 degrees in the vertical direction.
Wearing formula RFID recognition equipment contains inertia measurement unit, inertia measurement unit judges whether the staff is carrying luggage through staff's waist action to record the transport time quantum.
The wearable RFID identification and reading device comprises an inertial measurement unit, a machine learning-based action identification model and a wearable RFID identification and reading device, wherein the inertial measurement unit collects the action of a worker at a fixed frequency, the action of the worker is identified through the action identification model based on machine learning, and the action state of the worker is fed back, and the wearable RFID identification and reading device records a carrying time period according to the working state fed back by the inertial measurement unit.
The wearable RFID recognizing and reading equipment recognizes the RFID luggage tag of the current luggage through an RFID signal fraction method, in the carrying time period, the fraction of the RFID luggage tag which is closer to the wearable RFID recognizing and reading equipment is higher, and when the carrying action is finished, the RFID tag with the highest score in the carrying time period is recorded as the luggage tag carried at this time.
The intelligent terminal receives the luggage information transmitted by the wearable RFID reading equipment, matches the luggage information with a task list issued by the background server, and when the matching is successful, the carrying is correct, and the intelligent terminal uploads the luggage information to the background server; when the matching fails, the carrying fails, the intelligent terminal sends a prompt signal to inform workers of the carrying failure, and the carrying is carried again; and when the worker fails to carry the luggage for multiple times, marking the luggage information as suspected luggage and uploading the suspected luggage information.
Wearable RFID recognition equipment is located staff's waist, intelligent terminal is located staff's wrist department.
Technical scheme two
An airport luggage carrying method based on motion recognition is characterized by comprising the following steps:
s1: the wearable RFID recognition device recognizes waist actions of workers at a fixed frequency;
s2: when a worker carries out carrying action, the wearable RFID recognizing and reading equipment recognizes that the waist action of the worker is in a carrying mode, and records carrying starting time;
s3: the wearable RFID identification and reading equipment identifies all RFID luggage tags in the range, records the signal intensity of each RFID luggage tag, sorts each RFID luggage tag according to the signal intensity from large to small, marks the scores of the RFID luggage tags, and the larger the signal intensity is, the higher the score is;
s4: the wearable RFID identification device updates the signal strength and the score value of each luggage tag in the identification range at a fixed frequency;
s5: when the worker finishes the carrying action, the wearable RFID recognizing and reading equipment recognizes that the waist action of the worker is in a non-carrying mode, and the carrying termination time is recorded;
s6: counting the RFID luggage tags and the corresponding scores thereof in the transportation time period from the transportation starting time to the transportation ending time, selecting the RFID luggage tag with the largest score value as the RFID luggage tag for the current transportation, and transmitting luggage information in the RFID luggage tag to the intelligent terminal;
s7: the intelligent terminal receives the luggage information transmitted by the wearable RFID reading equipment, matches the luggage information with a task list issued by the background server, and when the matching is successful, the carrying is correct, and the intelligent terminal uploads the luggage information to the background server; when the matching fails, the carrying fails, the intelligent terminal sends a prompt signal to inform workers of the carrying failure, and the workers carry the products again.
In the step S1, the wearable RFID recognition device determines whether the current waist movement of the worker is in the transportation state by using a movement recognition model based on machine learning.
In the step S6, the intelligent terminal sends out a prompt signal through prompting sound, vibration, LED flashing and the like.
In the step S7, when the worker fails to transport the luggage after carrying the luggage for multiple times, the luggage information is marked as suspected luggage and uploaded.
Compared with the prior art, the invention has the beneficial effects that:
1. equipment cost is low, and easy operation can accomplish the discernment to carrying luggage through wearing formula RFID recognition equipment and intelligent terminal, reduces staff's learning cost.
2. Through the action recognition model based on machine learning construction, the recognition result is accurate and efficient, and the method can be quickly adapted to workers with different carrying habits.
3. And performing score assignment on all detectable RFID luggage tags through a score system based on the RFID signal distance, and selecting the tag closest to the RFID luggage tags as a final result. The staff need not to utilize and carry out extra discernment label action, and the label identification process is swift high-efficient.
Drawings
FIG. 1 is a schematic diagram of a system architecture of an embodiment of an airport baggage handling method and system based on motion recognition according to the present invention;
fig. 2 is a schematic diagram of wearable RFID recognition devices according to an embodiment of the present invention;
fig. 3 is a flowchart of a method of an embodiment of an airport baggage handling method and system based on motion recognition according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1, an airport baggage handling system based on motion recognition includes the following devices:
wearable RFID discernment equipment for discern RFID luggage label. In this embodiment, the wearable RFID identification device is fixed to the waist of the worker through a belt. Wearable RFID recognition equipment can also be fixed in other positions such as staff's chest.
An RFID luggage tag located on luggage, the RFID luggage tag containing luggage information. The luggage information comprises the flight information of the luggage and the information of the passenger to which the luggage belongs.
And the intelligent terminal is in wireless connection with the wearable RFID reading equipment. In this embodiment, intelligent terminal is an intelligent wrist-watch, wears in staff's wrist portion, intelligent terminal pass through the bluetooth with wearable RFID discerns reading equipment and carries out wireless connection.
The wearable RFID reading equipment records the working state of a worker, selects the RFID luggage tag closest to the worker in the carrying process as the RFID luggage tag of the carrying, reads the luggage information of the RFID luggage tag and transmits the luggage information to the intelligent terminal.
As shown in fig. 2, the wearable RFID reading device includes a quadrifilar helical circularly polarized antenna, and the reading range is a horizontal direction angle of 0 to 180 degrees and a vertical direction angle of 20 to 160 degrees. In this embodiment, the weight of the wearable RFID reading device does not exceed 300 g.
Wearing formula RFID recognition equipment contains inertia measurement unit, inertia measurement unit judges whether the staff is carrying luggage through staff's waist action to record the transport time quantum.
The wearable RFID identification and reading device comprises an inertial measurement unit, a machine learning-based action identification model and a wearable RFID identification and reading device, wherein the inertial measurement unit collects the action of a worker at a fixed frequency, the action of the worker is identified through the action identification model based on machine learning, and the action state of the worker is fed back, and the wearable RFID identification and reading device records a carrying time period according to the working state fed back by the inertial measurement unit. The working state of the staff comprises carrying, moving, standing and the like.
The information recorded by the inertia measurement unit is associated with the current working dynamics of the working personnel by constructing a machine learning model, when the working personnel carry luggage, the measurement information of the inertia measurement unit is recorded, the result is set to be in carrying, the movement recognition model based on machine learning is obtained by inputting a large number of samples for learning, the movement of the working personnel can be accurately recognized, and the model can be continuously adjusted and adapted according to the use habits of different working personnel. For example, part of workers are used to carry luggage to the chest, and the other part of workers are used to carry luggage to the left and right sides of the body, and the action recognition model based on machine learning can be recognized.
Wearable RFID recognition equipment still contains wireless communication module, bee calling organ etc, bee calling organ can send the prompt tone and inform staff's prompt message, for example need charge, recognition trouble etc, wireless communication module except can with intelligent terminal carries out wireless connection, can connect through mode such as WIFI, cellular communication etc. and other terminal equipment, can carry out operations such as equipment upgrading.
In a working scene, for example, to take goods from a conveyor belt or to transport goods from a vehicle transporting goods, the wearable RFID identification device needs to identify the goods being transported, i.e., the goods closest to the staff, if the goods are in the identification range. The wearable RFID recognizing and reading equipment recognizes the RFID luggage tag of the current luggage through an RFID signal fraction method, in the carrying time period, the fraction of the RFID luggage tag which is closer to the wearable RFID recognizing and reading equipment is higher, and when the carrying action is finished, the RFID tag with the highest score in the carrying time period is recorded as the luggage tag carried at this time.
When carrying the transport work, wearing formula RFID recognition equipment discernment personal luggage signal and distinguish it with the luggage on the letter sorting carousel, during the staff carries luggage letter sorting, carry luggage at every turn and have just one. When the luggage is in the conveying time period, the closer the luggage is to the RFID equipment, namely the higher the score is, the score of the conveying process is continuously the highest as the luggage label of the conveying at this time when the conveying is finished. By the method, a carrier does not need to utilize the read-write antenna to cling to the luggage RFID tag to confirm tag information.
The signal score method adopted by the invention can be used for calculating the label with the highest total score through score accumulation and using the label with the highest continuous score as a result. The fractional method is provided with a threshold value, and only the labels with signals larger than the threshold value can be listed as the statistical result.
The intelligent terminal receives the luggage information transmitted by the wearable RFID reading equipment, matches the luggage information with a task list issued by the background server, and when the matching is successful, the carrying is correct, and the intelligent terminal uploads the luggage information to the background server; when the matching fails, the carrying fails, the intelligent terminal sends a prompt signal to inform workers of the carrying failure, and the carrying is carried again.
And when the worker fails to carry the luggage for multiple times, marking the luggage information as suspected luggage and uploading the suspected luggage information. And a threshold value is set for the conveying failure, and when the matching failure times of the same luggage exceed the threshold value, the luggage is regarded as suspected luggage.
In this embodiment, before carrying out the carrying work, the worker may receive the assignment of the carrying task from the background server through the intelligent terminal, and search for a corresponding transmission line or a carrying bucket through carrying task information.
The airport luggage carrying system based on motion recognition is low in equipment cost and simple to operate, recognition of carried luggage can be completed through the wearable RFID recognition equipment and the intelligent terminal, and learning cost of workers is reduced. Through the action recognition model based on machine learning construction, the recognition result is accurate and efficient, and the method can be quickly adapted to workers with different carrying habits. And performing score assignment on all detectable RFID luggage tags through a score system based on the RFID signal distance, and selecting the tag closest to the RFID luggage tags as a final result. The staff need not to utilize and carry out extra discernment label action, and the label identification process is swift high-efficient.
Example 2
As shown in fig. 3, the method for transporting baggage in an airport based on motion recognition includes the steps of:
s1: the wearable RFID recognition device recognizes waist actions of workers at a fixed frequency;
s2: when a worker carries out carrying action, the wearable RFID recognizing and reading equipment recognizes that the waist action of the worker is in a carrying mode, and records carrying starting time;
s3: the wearable RFID identification and reading equipment identifies all RFID luggage tags in the range, records the signal intensity of each RFID luggage tag, sorts each RFID luggage tag according to the signal intensity from large to small, marks the scores of the RFID luggage tags, and the larger the signal intensity is, the higher the score is;
s4: the wearable RFID identification device updates the signal strength and the score value of each luggage tag in the identification range at a fixed frequency;
s5: when the worker finishes the carrying action, the wearable RFID recognizing and reading equipment recognizes that the waist action of the worker is in a non-carrying mode, and the carrying termination time is recorded;
data pre-processing
The letter sorting workman wears wearing formula RFID recognition equipment and obtains data between the waist in waist, wherein including the acceleration and the angular velocity of x, y, z direction with inertial measurement unit. Because the acquired original data has more noise, the average filtering is adopted to preprocess the original data, so that the data is smoother, and the influence of random interference is effectively reduced.
Feature extraction
In order to automatically recognize the carrying action of the sorting staff, the collected data signals are classified. Feature extraction is very popular in applications involving large amounts of input data, and many features have been considered for human action classification, including time domain metrics, such as mean and standard deviation, and frequency domain metrics, such as wavelet transform or fourier transform features.
Network model training
On the basis of human body action recognition characteristics, training models are conducted on human body action characteristics based on a machine learning algorithm to obtain corresponding models, and the models are quantized to obtain light-weight models to meet real-time requirements of equipment.
S6: counting the RFID luggage tags and corresponding scores thereof in a conveying time period from the conveying starting time to the conveying ending time, selecting the RFID luggage tag with the highest score continuously as the RFID luggage tag of the current conveying, and transmitting luggage information in the RFID luggage tag to an intelligent terminal;
s7: the intelligent terminal receives the luggage information transmitted by the wearable RFID reading equipment, matches the luggage information with a task list issued by the background server, and when the matching is successful, the carrying is correct, and the intelligent terminal uploads the luggage information to the background server; when the matching fails, the carrying fails, the intelligent terminal sends a prompt signal to inform workers of the carrying failure, and the workers carry the products again.
In the step S1, the wearable RFID recognition device determines whether the current waist movement of the worker is in the transportation state by using a movement recognition model based on machine learning.
In the step S6, the intelligent terminal sends out a prompt signal through prompting sound, vibration, LED flashing and the like.
In the step S7, when the worker fails to transport the luggage after carrying the luggage for multiple times, the luggage information is marked as suspected luggage and uploaded.
The airport luggage carrying method based on motion recognition is low in equipment cost and simple to operate, recognition of carried luggage can be completed through the wearable RFID recognition equipment and the intelligent terminal, and learning cost of workers is reduced. Through the action recognition model based on machine learning construction, the recognition result is accurate and efficient, and the method can be quickly adapted to workers with different carrying habits. And performing score assignment on all detectable RFID luggage tags through a score system based on the RFID signal distance, and selecting the tag closest to the RFID luggage tags as a final result. The staff need not to utilize and carry out extra discernment label action, and the label identification process is swift high-efficient.
It is obvious to a person skilled in the art that the invention is not restricted to details of the above-described exemplary embodiments, but that it can be implemented in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. An airport baggage handling system based on motion recognition, comprising:
the wearable RFID reading equipment is used for reading the RFID luggage tag;
an RFID luggage tag located on luggage, the RFID luggage tag containing luggage information;
the intelligent terminal is wirelessly connected with the wearable RFID reading equipment;
the wearable RFID reading device and the intelligent terminal are worn on the body of a worker, the wearable RFID reading device records the working state of the worker, the RFID luggage tag closest to the worker in the carrying process is selected as the RFID luggage tag of the carrying, the luggage information of the RFID luggage tag is read, and the luggage information is transmitted to the intelligent terminal.
2. The airport baggage handling system based on motion recognition of claim 1 wherein the wearable RFID identification device comprises a four-arm helical circularly polarized antenna with a reading range of 0 to 180 degrees in the horizontal direction and 20 to 160 degrees in the vertical direction.
3. The airport luggage carrying method and system based on motion recognition as claimed in claim 1, wherein the wearable RFID recognition device comprises an inertia measurement unit, the inertia measurement unit judges whether a worker is carrying luggage according to the waist motion of the worker, and records the carrying time period;
the waist action of staff is gathered with fixed frequency to inertia measurement unit, discerns staff's action through the action recognition model based on machine learning to feedback staff's action state, wearing formula RFID recognition equipment basis the operating condition of inertia measurement unit feedback records the transport time quantum.
4. The airport luggage conveying method and system based on motion recognition as claimed in claim 3, wherein the wearable RFID recognition device recognizes the RFID luggage tag of the current luggage through RFID signal score method, in the conveying time period, the RFID luggage tag closer to the wearable RFID recognition device has higher score, and when the conveying motion is finished, the RFID tag with the highest score in the conveying time period is recorded as the luggage tag of the current conveying.
5. The airport luggage carrying system based on motion recognition according to claim 1, wherein the intelligent terminal receives luggage information transmitted by the wearable RFID recognition device, matches the luggage information with a task list issued by a background server, carries the luggage information correctly when matching is successful, and uploads the luggage information to the background server; when the matching fails, the carrying fails, the intelligent terminal sends a prompt signal to inform workers of the carrying failure, and the carrying is carried again; and when the worker fails to carry the luggage for multiple times, marking the luggage information as suspected luggage and uploading the suspected luggage information.
6. The airport luggage carrying method and system based on motion recognition as claimed in claim 1, wherein the wearable RFID recognition device is located at the waist of the worker, and the intelligent terminal is located at the wrist of the worker.
7. An airport luggage carrying method based on motion recognition is characterized by comprising the following steps:
s1: the wearable RFID identification device identifies the action of a worker at a fixed frequency;
s2: when a worker carries out carrying action, the wearable RFID recognizing and reading equipment recognizes that the waist action of the worker is in a carrying mode, and records carrying starting time;
s3: the wearable RFID identification and reading equipment identifies all RFID luggage tags in the range, records the signal intensity of each RFID luggage tag, sorts each RFID luggage tag according to the signal intensity from large to small, marks the scores of the RFID luggage tags, and the larger the signal intensity is, the higher the score is;
s4: the wearable RFID identification device updates the signal strength and the score value of each luggage tag in the identification range at a fixed frequency;
s5: when the worker finishes the carrying action, the wearable RFID recognizing and reading equipment recognizes that the waist action of the worker is in a non-carrying mode, and the carrying termination time is recorded;
s6: counting the RFID luggage tags and corresponding scores thereof in a conveying time period from the conveying starting time to the conveying ending time, selecting the RFID luggage tag with the highest score continuously as the RFID luggage tag of the current conveying, and transmitting luggage information in the RFID luggage tag to an intelligent terminal;
s7: the intelligent terminal receives the luggage information transmitted by the wearable RFID reading equipment, matches the luggage information with a task list issued by the background server, and when the matching is successful, the carrying is correct, and the intelligent terminal uploads the luggage information to the background server; when the matching fails, the carrying fails, the intelligent terminal sends a prompt signal to inform workers of the carrying failure, and the workers carry the products again.
8. The method for transporting luggage at an airport according to claim 7, wherein in step S1, the wearable RFID reader determines whether the current waist movement of the operator is a transporting state through a machine learning-based movement recognition model.
9. The method for transporting luggage at an airport based on motion recognition as claimed in claim 7, wherein in step S7, the intelligent terminal sends out prompt signals through prompt sound, vibration and LED flashing.
10. The method according to claim 7, wherein in step S7, when the worker fails to transport the baggage after multiple transports, the baggage information is marked as suspected baggage and uploaded.
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