Luggage access system and method based on neural network and track positioning

Abstract

The invention discloses a luggage access system and method based on a neural network and track positioning, and belongs to the technical field of intelligent luggage management of high-speed rails.The luggage access system comprises an embedded track network, a telescopic grabbing and clamping mechanism, an interaction module and a dynamic dispatching system, and track nodes of the embedded track network and passenger seat numbers are bound through an information module; the telescopic grabbing and clamping mechanism comprises a horizontal driving unit, a vertical telescopic arm and a self-adaptive grabbing module; the interaction module comprises a security check scanning area, a detection platform, a seat code scanning terminal and a central controller, the security check scanning area binds user luggage and seat information through an RFID tag, and the central controller drives the telescopic grabbing and clamping mechanism to execute a luggage access instruction; and the dynamic scheduling system optimizes the luggage storage position based on a neural network algorithm, and realizes real-time access instruction adjustment in linkage with the RFID tag and the code scanning terminal. The full-link intelligent luggage storage system is constructed by fusing track positioning and neural network control.

Description

Technical Field

[0001] This invention relates to the field of intelligent baggage management technology for high-speed rail, specifically to a baggage storage and retrieval system and method based on neural networks and track positioning, applicable to fully automated baggage storage and retrieval scenarios in high-speed rail carriages. Background Technology

[0002] High-speed train carriages typically have five rows of passenger seats running along the length of the train. Aisles are provided between each row of seats along the direction of the train, and luggage racks are installed on both sides of the overhead luggage compartment. Existing technologies mainly fall into three categories of luggage storage devices or systems: (1) Fixed luggage racks and traditional auxiliary devices are used: Fixed hanging luggage racks are commonly used in high-speed rail carriages. The luggage position is fixed by baffles or slots. Some are also equipped with auxiliary devices (such as patent CN221835354U) to prevent luggage from shaking by using spring pressure plates or limit pins. The main drawbacks of this technical solution are: strong reliance on manual operation, requiring passengers to carry the luggage themselves. It is difficult for elderly, disabled or passengers carrying heavy objects to operate, which can easily lead to safety hazards; low space utilization, the fixed structure cannot dynamically adjust the storage position, and space is easily wasted or crowded during peak periods; aisle congestion, passengers carrying luggage themselves, when getting on and off the train, passengers placing or retrieving luggage can easily block the aisle.

[0003] (2) Employing a lifting-type intelligent storage device: For example, patent CN118770301A achieves mechanical transportation of luggage through a lifting platform, conveyor belt, and storage basket. The system includes a lifting device, bottom support, and storage area. Luggage is moved to the target location via a conveyor belt. The main drawbacks of this technical solution are: complex structure and high maintenance cost; multi-stage transmission mechanisms (such as gear racks and pinions, telescopic rods) are prone to failure and difficult to maintain; poor adaptability to application scenarios, requiring large-scale modification of the carriage structure, and difficulty in compatibility with luggage rack structures of different vehicle models.

[0004] (3) Adopting a centralized freight logistics system: such as the "XL baggage car" described in a high-speed rail station case, which adopts a double-door design and manual sorting and stacking of goods. Some solutions combine a two-stage planning model to dynamically allocate goods. This type of technical solution relies on manual operation. The loading and unloading process requires manual counting and handling, which is prone to errors during peak periods. It lacks passenger interaction and cannot support dynamic adjustment instructions via QR codes or mini-programs, thus failing to meet the scenarios of "buying long and taking short" or "paying the fare on board". It also has efficiency bottlenecks, as centralized storage occupies a large space and is prone to congestion during peak passenger periods, making it difficult to adapt to the real-time needs of high-speed rail passenger transport scenarios.

[0005] In summary, existing technologies generally suffer from drawbacks such as low automation, poor scenario adaptability, and weak interactivity. Summary of the Invention

[0006] Technical problem solved: In view of the technical problems existing in the prior art, the present invention provides a baggage storage and retrieval system and method based on neural network and track positioning. By integrating track positioning, retractable gripper and neural network control, a full-link intelligent baggage storage system is constructed to improve the user's travel efficiency and experience.

[0007] Technical solution: The baggage storage and retrieval system based on neural networks and track positioning described in this invention includes: An embedded track network, comprising a double-layer U-shaped guide rail laid longitudinally along the top of the carriage, forming a positioning network covering the entire carriage, and the track nodes are bound to passenger seat numbers through an information module; The telescopic gripping mechanism includes a horizontal drive unit, a vertical telescopic arm, and an adaptive gripping module. The adaptive gripping module includes two sets correspondingly arranged at both ends of the horizontal drive unit, and the vertical telescopic arm correspondingly arranged at the center of the top of the horizontal drive unit. The interaction module includes a security check scanning area, a detection platform, a seat barcode scanning terminal, and a central controller. The security check scanning area binds user luggage and seat information through RFID tags. The detection platform identifies RFID tags and links with a telescopic gripping mechanism. Users can modify their alighting station information through the seat barcode scanning terminal. The central controller drives the telescopic gripping mechanism to execute luggage storage and retrieval commands. The dynamic scheduling system optimizes luggage storage locations based on neural network algorithms and links RFID tags and barcode scanning terminals to adjust storage and retrieval instructions in real time.

[0008] Preferably, the testing platform is equipped with a telescopic support frame for large luggage.

[0009] Preferably, the adaptive gripping module includes a V-shaped clamping surface wrapped in silicone, and the clamping force between the two sets of adaptive gripping modules is dynamically adjusted by a force control sensor, with an adjustment range of 0-500N; the horizontal drive unit adopts a linear motor, which automatically expands the gripping range according to the size of the luggage.

[0010] Preferably, the vertical telescopic arm can be a lead screw mechanism, which controls the horizontal drive unit and the adaptive gripping module to adjust the height, with a lifting range of 0.6-1.7m; the housing of the vertical telescopic arm is made of carbon fiber, and its built-in vibration compensation algorithm offsets the disturbance of the carriage during travel.

[0011] Preferably, the embedded track network has upper tracks at the bottom of the U-shaped structure, near the luggage racks on both sides, along the direction of the carriage. The embedded track network also has lower tracks at the two side walls of the U-shaped structure, corresponding to the luggage racks, along the direction of the carriage. Between the upper and lower tracks, a support track is provided for each row of passenger seats, allowing the telescopic gripping mechanism to pass through. At both ends of the carriage, storage tracks are provided that connect to the upper tracks. When the vehicle is in an empty state, multiple telescopic gripping mechanisms are stored in the storage tracks.

[0012] Preferably, the dynamic scheduling system further includes: A vibration environment adaptive control unit adjusts the moving speed of the telescopic gripper mechanism based on real-time carriage vibration data; The dual-track collaborative control unit controls the upper track to perform storage and retrieval operations, while the lower track is on standby to ensure the continuity of transportation of the telescopic gripper mechanism.

[0013] This invention also discloses a method for storing and retrieving luggage in a high-speed train carriage, which uses the above-mentioned luggage storage and retrieval system and includes the following steps: Step 1, Information Binding: In the security checkpoint, baggage and passenger seat information are bound together using RFID tags; Step 2, Baggage Handling: The telescopic gripping mechanism moves to the detection platform, and the vertical telescopic arm controls the horizontal drive unit and the adaptive gripping module to descend vertically to grab the baggage; during the baggage grabbing process, the baggage size is identified, and if it exceeds the limit, the telescopic large baggage support rack is triggered to slide down; after the telescopic gripping mechanism grabs the baggage, it is transported along the corresponding track of the embedded track network to the corresponding seat, and the vertical telescopic arm controls the horizontal drive unit and the adaptive gripping module to lift the grabbed baggage and place it on the luggage rack corresponding to the passenger seat; Step 3, baggage release: When the train approaches the passenger's target station, the telescopic grabbing mechanism grabs and removes the baggage according to the preset path and moves it to the detection platform in the door preparation area, waiting for the passenger to collect the baggage and get off the train; Step 4, Dynamic Response: When a passenger's alighting point changes, the alighting point is modified via the scanning terminal. The dynamic scheduling system recalculates the release sequence and repeats the baggage release procedure from Step 3 to prepare for alighting.

[0014] Preferably, in step 2, the luggage storage step, a neural network algorithm is used to allocate the optimal storage location and make priority use of the vacant area; during the luggage grabbing process, the force control sensor monitors the clamping force in real time, and triggers an emergency stop when the clamping force of the adaptive grabbing module exceeds the threshold.

[0015] Preferably, the dynamic response step in step 4 includes: receiving passenger itinerary change instructions via a mini-program; and the central controller dynamically updating the baggage release queue based on train location data.

[0016] Preferably, steps 2 and 3 further include a vibration compensation step: Collect data from the carriage's acceleration sensor; According to the formula Real-time control of the telescopic gripper mechanism's moving speed; In the formula: denoted as the reference velocity; 'a' as the real-time vibration amplitude; and 'k' as the compensation coefficient.

[0017] This invention provides a baggage storage and retrieval system and method based on neural networks and track positioning, achieving the following technical effects: 1. The luggage storage system of the present invention has a high degree of automation and fully automated operation, which reduces the time passengers spend in the aisle when placing luggage, reduces aisle congestion, and improves travel efficiency; it adopts a lightweight and modular structure to avoid complex mechanical structures (such as multi-stage transmission rods, gear racks), and uses a track-type telescopic gripping mechanism and automated transportation mechanism to replace manual operation, reducing the number of parts and failure rate, realizing unmanned storage and retrieval of luggage from the door to the luggage rack, solving the problem that the elderly, weak, sick and disabled people cannot store their luggage independently due to insufficient physical strength; 2. This luggage storage system is highly adaptable. The telescopic gripping mechanism can accommodate suitcases of different sizes. Through the collaboration of force control sensors and vibration compensation algorithms, it ensures the stability of luggage transportation and reduces the risk of falling. The detection platform is equipped with a telescopic support frame for large luggage to ensure the storage of large luggage. 3. This luggage storage system adopts dynamic scheduling and intelligent control to achieve dynamic response and interactive closed loop. Through dual-terminal collaboration of "RFID-Mini Program", it supports passengers to modify their alighting station in real time, receive luggage status reminders, and dynamically adjust the release sequence in conjunction with the mechanical system to achieve two-way linkage between "luggage-trip". It combines neural network algorithms to optimize luggage storage location and binds passenger trip information through QR codes to realize real-time instruction adjustment, which is especially suitable for scenarios where passengers "buy long and take short" or "buy tickets on board". 4. The embedded track network of this luggage storage system adopts a dual-track structure, which supports parallel and continuous transportation and retrieval of luggage, with a throughput of 30 pieces / minute, ensuring transportation continuity and efficiency. 5. This luggage storage system has high compatibility and security, retains the original luggage rack physical structure, and only adds an embedded track network on the top of the carriage, reducing the cost of modification. Attached Figure Description

[0018] Figure 1 This is a flowchart of the luggage storage and retrieval method in a high-speed train carriage according to the present invention; Figure 2 for Figure 1 Flowchart of information binding process in step 1; Figure 3 for Figure 1 Flowchart of baggage handling process in step 2; Figure 4 for Figure 1 Flowchart of baggage release process in step 3; Figure 5 for Figure 1 The flowchart of the dynamic response in step 4; Figure 6 This is a three-dimensional structural diagram of the high-speed train carriage of the present invention; Figure 7 for Figure 6 Cross-sectional view of a medium-speed railway carriage along its height; Figure 8 for Figure 6 A schematic diagram of the internal structure of the roof of a high-speed train carriage after it has been cut out. Figure 9 for Figure 6 A first-person view structural diagram of the interior of the roof of a high-speed train carriage. Figure 10 for Figure 9 A schematic diagram of the internal structure of the roof of a high-speed train carriage from a second-view perspective. Figure 11 for Figure 8 A schematic diagram of the structure of the suitcase at the detection platform; Figure 12 for Figure 11 Schematic diagram of the telescopic gripper mechanism.

[0019] Reference numerals: 1. High-speed train carriage; 2. Passenger seat; 3. Luggage rack; 4. Embedded track network; 41. Upper track; 42. Lower track; 43. Support track; 44. Storage track; 5. Telescopic gripping mechanism; 51. Vertical telescopic arm; 52. Horizontal drive unit; 53. Adaptive gripping module; 6. Detection platform; 7. Luggage compartment; 8. Telescopic large luggage support rack. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will be described in conjunction with the accompanying drawings. Figures 1-12 The technical solutions of the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention are within the scope of protection of the present invention.

[0021] Example 1: As Figures 6-10As shown, this invention discloses a baggage storage and retrieval system based on neural networks and track positioning, including an embedded track network 4, a telescopic gripping mechanism 5, an automated transportation mechanism, an interactive module, and a dynamic scheduling system. The baggage storage system of this invention has a high degree of automation, operating fully automatically, reducing the time passengers spend in the aisle when placing their luggage, reducing aisle congestion, and improving travel efficiency. It adopts a lightweight and modular structure, avoiding complex mechanical structures (such as multi-stage transmission rods, gears, and racks), and uses a track-type telescopic gripping mechanism 5 and an automated transportation mechanism to replace manual operation, reducing the number of parts and the failure rate. This achieves fully unmanned storage and retrieval of luggage from the door to the luggage rack 3, solving the problem of elderly, infirm, and disabled people being unable to store their luggage independently due to insufficient physical strength.

[0022] like Figure 9 and Figure 10 As shown, the embedded track network 4 includes a double-layer U-shaped guide rail laid longitudinally along the top of the carriage, that is, the cross-sectional structure along the width of the carriage top is U-shaped, as shown in the figure. Figure 10 As shown, the top of the carriage is inverted, making the sides near the windows closer to the original luggage racks 3, while a recessed structure is formed in the center of the carriage. Specifically, the embedded track network 4 has upper-level tracks 41 located at the bottom of the U-shaped structure, near the sides of the luggage racks 3, running along the direction of the carriage. Lower-level tracks 42 are located on the side walls of the U-shaped structure, corresponding to the luggage racks 3, running along the direction of the carriage. Between the upper-level tracks 41 and lower-level tracks 42, a branch track 43 is provided for each row of passenger seats, allowing the telescopic gripping mechanism 5 to pass through. Storage tracks 44 are connected to the upper-level tracks 41 at both ends of the carriage. When the vehicle is empty, multiple telescopic gripping mechanisms 5 are stored in the storage tracks 44. The embedded track network 4 forms a positioning network covering the entire carriage, with track nodes and passenger seat numbers bound together via information modules. This luggage storage system's embedded track network 4 adopts a dual-track structure, supporting parallel and continuous transport and retrieval of luggage, with a throughput of 30 pieces / minute, ensuring transport continuity and efficiency.

[0023] like Figure 11 and Figure 12As shown, the telescopic gripping mechanism 5 includes a horizontal drive unit 52, a vertical telescopic arm 51, and an adaptive gripping module 53. The adaptive gripping module 53 includes two sets corresponding to the two ends of the horizontal drive unit 52, and the vertical telescopic arm 51 is correspondingly located at the center of the top of the horizontal drive unit 52. The adaptive gripping module 53 includes a V-shaped gripping surface covered with silicone (not shown in the figure). The gripping force between the two sets of adaptive gripping modules 53 is dynamically adjusted by a force control sensor, and the adjustment range is 0-500N. The horizontal drive unit 52 uses a linear motor to automatically expand the gripping range according to the size of the luggage. The vertical telescopic arm 51 can use a screw mechanism, which controls the horizontal drive unit 52 and the adaptive gripping module 53 to adjust the height, and its lifting adjustment range is 0.6-1.7m. The shell of the vertical telescopic arm 51 is made of carbon fiber, and its built-in vibration compensation algorithm offsets the disturbance of the carriage during travel. This luggage storage system is highly adaptable. The telescopic gripping mechanism 5 can adapt to luggage 7 of different sizes. Through the collaboration of the force control sensor and the vibration compensation algorithm, it ensures the stability of luggage transportation and reduces the risk of falling.

[0024] like Figure 8 and Figure 11 As shown, the detection platform 6 is equipped with a telescopic large luggage support rack 8. The luggage support rack can be unfolded as needed to meet the simultaneous and continuous placement of multiple suitcases, satisfying the needs of passengers to pick up and put down luggage during peak hours. When not in use, the luggage support rack can be stored away to reduce space occupation; at the same time, it can ensure the storage needs of large luggage.

[0025] The interactive module (not shown in the diagram) includes a security scanning area, a detection platform 6, a seat barcode scanning terminal, and a central controller. The security scanning area can be set up at the security conveyor belt. The security scanning area uses RFID tags to bind user luggage and seat information, meaning that customer information is bound to RFID tags in the security area and confirmed to match the customer's luggage. The detection platform 6 is set up at the entrances and exits at both ends of the high-speed train carriage, roughly corresponding to the aisle. When passengers board, they place their luggage 7, carrying RFID tags, on the telescopic large luggage support rack 8 of the detection platform 6. The detection platform 6 identifies the RFID tags and links with the telescopic gripping mechanism 5. The telescopic gripping mechanism 5 executes the gripping command according to a preset program, moving the luggage along the embedded track network 4, prioritizing the luggage to the luggage rack 3 above the corresponding passenger seat or moving it to an empty space on the luggage rack 3. Each passenger seat 2 has a corresponding seat barcode scanning terminal at a suitable position. Users can modify their alighting station information through the seat barcode scanning terminal and synchronize this information to the central controller. The central controller drives the telescopic gripping mechanism 5 to execute luggage storage and retrieval commands.

[0026] The dynamic scheduling system optimizes luggage storage locations based on neural network algorithms and links with the vehicle control center. It achieves real-time adjustments to storage and retrieval instructions through linkage with RFID tags and barcode scanning terminals. The system also includes a vibration environment adaptive control unit and a dual-track collaborative control unit. The vibration environment adaptive control unit adjusts the moving speed of the telescopic gripper mechanism 5 based on real-time carriage vibration data. The dual-track collaborative control unit controls the upper track 41 to perform storage and retrieval operations, while the lower track 42 is on standby to ensure the continuity of transport for the telescopic gripper mechanism 5. This luggage storage system employs dynamic scheduling and intelligent control to achieve dynamic response and interactive closed-loop. Through dual-terminal collaboration of "RFID-mini-program," it supports passengers in real-time modification of their alighting station, receiving luggage status reminders, and dynamically adjusting the release sequence in conjunction with the mechanical system, achieving two-way linkage between "luggage-journey." Combined with neural network algorithms to optimize luggage storage locations and binding passenger travel information via QR codes, it enables real-time instruction adjustments, making it particularly suitable for scenarios where passengers "buy long-distance tickets and retrieve short-distance tickets" or "pay on board."

[0027] Example 2: Figures 1-5 As shown, the present invention also discloses a method for storing and retrieving luggage in a high-speed train carriage, which uses the above-mentioned luggage storage and retrieval system and includes the following steps: (a) Information binding: In the security check area, baggage and passenger seat information are bound together by RFID tags.

[0028] (II) Baggage Handling: The telescopic gripping mechanism 5 moves to the detection platform 6, and the vertical telescopic arm 51 controls the horizontal drive unit 52 and the adaptive gripping module 53 to descend vertically and grab the baggage. During the baggage grabbing process, the baggage size is identified. If the size exceeds the limit, the telescopic large baggage support rack is triggered to slide down. After grabbing the baggage, the telescopic gripping mechanism 5 transports it along the corresponding track of the embedded track network 4 to the area above the corresponding seat. The vertical telescopic arm 51 controls the horizontal drive unit 52 and the adaptive gripping module 53 to lift the grabbed baggage and place it on the luggage rack 3 corresponding to the passenger seat. During the baggage handling process, a neural network algorithm is used to allocate the optimal storage location, giving priority to the use of vacant areas. During the baggage grabbing process, the force control sensor monitors the gripping force in real time. When the gripping force of the adaptive gripping module 53 exceeds the threshold, an emergency stop is triggered to ensure the stability of baggage transportation and reduce the risk of falling.

[0029] (III) Baggage Release: As the train approaches the passenger's destination station, the telescopic gripper mechanism 5 retrieves the baggage according to a preset path and moves it to the detection platform 6 in the door preparation area, awaiting the passenger's collection and disembarkation. It should be noted that the baggage storage and release process also includes a vibration compensation step: collecting data from the carriage acceleration sensors; and applying the formula... The moving speed of the telescopic gripper mechanism 5 is adjusted in real time; where: denoted as the reference velocity; 'a' as the real-time vibration amplitude; and 'k' as the compensation coefficient.

[0030] (iv) Dynamic response: When a passenger’s alighting station changes, the alighting station is modified by scanning the code terminal, and the dynamic scheduling system recalculates the release sequence; dynamic response includes receiving passenger itinerary change instructions through a mini-program; the central controller dynamically updates the baggage release queue based on the train location data and repeats the baggage release procedure to prepare for alighting.

[0031] The above are preferred embodiments of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A baggage storage and retrieval system based on neural networks and orbital positioning, characterized in that, include: The embedded track network (4) includes a double-layer U-shaped guide rail laid longitudinally along the top of the carriage, forming a positioning network covering the entire carriage, and the track nodes are bound to the passenger seat numbers through an information module; The telescopic gripping mechanism (5) includes a horizontal drive unit (52), a vertical telescopic arm (51), and an adaptive gripping module (53). The adaptive gripping module (53) includes two sets correspondingly arranged at both ends of the horizontal drive unit (52), and the vertical telescopic arm (51) is correspondingly arranged at the center of the top of the horizontal drive unit (52). The interaction module includes a security check scanning area, a detection platform (6), a seat scanning terminal, and a central controller. The security check scanning area binds the user's luggage and seat information through RFID tags. The detection platform (6) identifies the RFID tags and links with the telescopic gripping mechanism (5). The user can modify the disembarkation station information through the seat scanning terminal. The central controller drives the telescopic gripping mechanism (5) to execute luggage storage and retrieval instructions. The dynamic scheduling system optimizes luggage storage locations based on neural network algorithms and links RFID tags and barcode scanning terminals to adjust storage and retrieval instructions in real time.

2. The baggage storage and retrieval system based on neural networks and track positioning according to claim 1, characterized in that, The adaptive gripping module (53) includes a V-shaped clamping surface wrapped in silicone. The clamping force between the two sets of adaptive gripping modules (53) is dynamically adjusted by a force control sensor, and the adjustment range is 0-500N. The horizontal drive unit (52) adopts a linear motor and automatically expands the gripping range according to the size of the luggage.

3. The baggage storage and retrieval system based on neural networks and track positioning according to claim 1, characterized in that, The testing platform (6) is equipped with a telescopic large luggage support frame (8).

4. The baggage storage and retrieval system based on neural networks and track positioning according to claim 1, characterized in that, The vertical telescopic arm (51) can be made of a screw mechanism, which controls the horizontal drive unit (52) and the adaptive gripping module (53) to adjust the height. The lifting adjustment range is 0.6-1.7m. The shell of the vertical telescopic arm (51) is made of carbon fiber material, and its built-in vibration compensation algorithm can offset the disturbance of the carriage.

5. The baggage storage and retrieval system based on neural networks and track positioning according to claim 1, characterized in that, The embedded track network (4) has upper track (41) set at the bottom of the U-shaped structure near the luggage racks (3) on both sides along the direction of the carriage. The embedded track network (4) has lower track (42) set at the two sides of the U-shaped structure and corresponding luggage racks (3) along the direction of the carriage. Between the upper track (41) and the lower track (42), a branch track (43) is set for each row of passenger seats to pass through the telescopic gripping mechanism (5). At both ends of the carriage, storage track (44) is set in connection with the upper track (41). When the vehicle is in an empty state, multiple telescopic gripping mechanisms (5) are stored in the storage track (44).

6. The baggage storage and retrieval system based on neural networks and track positioning according to claim 5, characterized in that, The dynamic scheduling system also includes: Vibration environment adaptive control unit, which adjusts the moving speed of telescopic gripping mechanism (5) based on real-time carriage vibration data; The dual-track collaborative control unit controls the upper track (41) to perform storage and retrieval operations, while the lower track (42) is on standby to ensure the transportation continuity of the telescopic gripper mechanism (5).

7. A method for storing and retrieving luggage in a high-speed train carriage, characterized in that, The baggage storage and retrieval system as described in any one of claims 1-6 includes the following steps: Step 1, Information Binding: In the security checkpoint, baggage and passenger seat information are bound together using RFID tags; Step 2, baggage entry: The telescopic gripping mechanism (5) moves to the detection platform (6), and the vertical telescopic arm (51) controls the horizontal drive unit (52) and the adaptive gripping module (53) to descend vertically to grab the baggage; during the baggage grabbing process, the baggage size is identified, and if it exceeds the limit, the telescopic large baggage support frame is triggered to slide down; after the telescopic gripping mechanism (5) grabs the baggage, it is transported along the corresponding track of the embedded track network (4) to the upper part of the corresponding seat, and the vertical telescopic arm (51) controls the horizontal drive unit (52) and the adaptive gripping module (53) to lift the grabbed baggage and place it on the baggage rack (3) corresponding to the passenger seat; Step 3, baggage release: When the train approaches the passenger's target station, the telescopic gripper (5) grabs and removes the baggage according to the preset path and moves it to the detection platform (6) in the door preparation area, waiting for the passenger to pick up the baggage and get off the train; Step 4, Dynamic Response: When a passenger's alighting point changes, the alighting point is modified via the scanning terminal. The dynamic scheduling system recalculates the release sequence and repeats the baggage release procedure from Step 3 to prepare for alighting.

8. The method for storing and retrieving luggage in a high-speed train carriage according to claim 7, characterized in that, In step 2, the luggage storage process is as follows: the optimal storage location is allocated using a neural network algorithm, and the vacant area is used first; during the luggage grabbing process, the force control sensor monitors the clamping force in real time, and an emergency stop is triggered when the clamping force of the adaptive grabbing module (53) exceeds the threshold.

9. The method for storing and retrieving luggage in a high-speed train carriage according to claim 7, characterized in that, The dynamic response steps in step 4 include: receiving passenger itinerary change instructions via a mini-program; and the central controller dynamically updating the baggage release queue based on train location data.

10. The method for storing and retrieving luggage in a high-speed train carriage according to claim 7, characterized in that, Steps 2 and 3 also include a vibration compensation step: Collect data from the carriage's acceleration sensor; According to the formula The moving speed of the telescopic gripper mechanism (5) is adjusted in real time; In the formula: denoted as the reference velocity; 'a' as the real-time vibration amplitude; and 'k' as the compensation coefficient.

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