Intelligent luggage case article planning and placing method and system

Abstract

The invention provides an intelligent luggage case article planning and placing method, which comprises the following steps of: scanning an article to be placed by acquiring an article placing instruction of a user to obtain feature data of the article to be placed; obtaining luggage case remaining space data, and performing space matching calculation according to the feature data of the to-be-placed articles and the luggage case remaining space data to obtain an optimal placement scheme of the to-be-placed articles; and displaying the optimal placement scheme of the to-be-placed article to a user in multiple modes, and performing planning placement on the article by the user based on the optimal placement scheme. According to the invention, an integrated solution of article size identification, space matching calculation and placement strategy generation is realized, a placement scheme can be automatically formed and provided for a user to use, time and manpower are saved, the space of the luggage case is utilized to the maximum extent, and the gravity center of the whole article can be monitored to provide safety reminding and guarantee.

Description

Technical Field

[0001] This invention relates to the technical field of intelligent suitcase item planning and placement method and system, and particularly to an intelligent suitcase item planning and placement method and system. Background Technology

[0002] Traditional vehicle trunk placement relies on user experience and judgment, requiring repeated trial and error to adjust item positions, which is time-consuming and laborious. Irregularly shaped items are difficult to arrange effectively, resulting in insufficient space utilization. Furthermore, when the trunk is cluttered, the overall center of gravity may shift, or items may be compressed, potentially causing noise or damage while driving. For example, haphazardly stacked items often lead to wrinkled clothing, damaged electronics, or wasted time searching for items due to disorganization. While existing smart trunks offer features like location tracking and weighing, they lack systematic optimization of the packing process, failing to address core pain points such as disorganized item categorization and inefficient space allocation. Therefore, a smart trunk item planning and placement method and system are urgently needed to solve these existing technological problems. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art, and proposes a method and system for planning and placing items in an intelligent suitcase.

[0004] In a first aspect, embodiments of the present invention provide a method for planning and placing items in an intelligent suitcase, including:

[0005] Obtain the user's item placement instructions, scan the items to be placed, and obtain the characteristic data of the items to be placed;

[0006] Obtain the remaining space data of the suitcase, and perform space matching calculations based on the characteristic data of the items to be placed and the remaining space data of the suitcase to obtain the optimal placement scheme for the items to be placed.

[0007] The optimal placement scheme for the items to be placed is presented to the user in multiple modes, and the user plans and places the items based on the optimal placement scheme.

[0008] Furthermore, the luggage to be placed is scanned to obtain its feature data. Specific methods include: scanning all items using external LiDAR and roof-mounted binocular cameras to obtain the size of each item, and analyzing the material type and weight estimation results of the items based on a CNN classification model.

[0009] Furthermore, after obtaining the size, material, and estimated weight of the item to be placed, the system will perform data fusion on the item's feature data, reconstruct the item's three-dimensional data, obtain the item's three-dimensional reconstruction result, and send the item's three-dimensional reconstruction result to the user's vehicle system or mobile APP through the spatial engine.

[0010] Furthermore, after the 3D reconstruction results of the item are sent to the user's vehicle infotainment system or mobile app, the user can view and confirm whether the scanned material and estimated weight are correct on the vehicle infotainment system or mobile app; if the scanned material and estimated weight are incorrect, the user can modify the corresponding information in the pop-up interface on the vehicle infotainment system or mobile app.

[0011] Furthermore, a spatial matching calculation is performed using an improved BLF algorithm on the feature data of the items to be placed and the remaining space data of the suitcase. Specific methods include:

[0012] Initialize the remaining space list, divide the remaining space of the suitcase into multiple three-dimensional rectangular regions, and record the coordinate range, remaining size and load-bearing capacity of each region;

[0013] The items are sorted according to the placement rules, which include the item's own attribute rules and user-preset placement rules.

[0014] To place an item, first select candidate remaining space, traverse the remaining space list, and filter out spaces that meet the size and weight constraints; then filter suitable spaces based on the shape of the item; next, evaluate the placement position by using the bottom left alignment principle; finally, update the remaining space. After the item is placed, divide the original remaining space into new subspaces, update the remaining space list, delete spaces that are completely occupied, and add newly generated subspaces.

[0015] Perform iterative optimization, repeatedly placing items until all items are placed or no feasible solution is found.

[0016] Furthermore, when performing spatial matching calculations, constraint adjustment priorities are added. These constraints include at least: fragile item pressure resistance constraint adjustment, center of gravity stability constraint adjustment, and ease of retrieval constraint adjustment. After adding constraint adjustment priorities, the stability and space utilization of the evaluation placement location are optimized according to the constraint adjustment priorities. When the item is heavy, the remaining space at the bottom is selected first. When the item is fragile, the shock-absorbing layer or area with less pressure is selected first. The fragmentation degree of the remaining space after the item is placed is calculated, and the placement scheme with the least fragmentation is selected.

[0017] Furthermore, the optimal placement scheme for the items to be placed is presented to the user via video and voice. Specifically, the method of presenting the optimal placement scheme via video includes: transmitting the optimal placement scheme to be placed to the vehicle's infotainment screen for display, generating a 3D semi-transparent trunk model on the screen; numbering the order in which the items are placed, and displaying the arranged items on the 3D semi-transparent trunk model; highlighting prohibited areas with a special color; and calculating and displaying the distribution of the center of gravity and pressure of the arranged luggage in the 3D trunk model.

[0018] Secondly, the present invention also discloses an intelligent suitcase item placement system, characterized in that it includes: a unit for acquiring feature data of items to be placed, a unit for calculating the optimal placement scheme, and a unit for displaying the optimal placement scheme; wherein:

[0019] The item feature data acquisition unit is used to acquire the user's item placement instruction, scan the item to be placed, and obtain the item feature data.

[0020] The optimal placement scheme calculation unit is used to obtain the remaining space data of the suitcase, perform space matching calculation based on the characteristic data of the items to be placed and the remaining space data of the suitcase, and obtain the optimal placement scheme of the items to be placed.

[0021] The optimal placement scheme display unit is used to display the optimal placement scheme of the item to be placed to the user in multiple modes, and the user plans and places the item based on the optimal placement scheme.

[0022] Thirdly, the present invention also discloses an electronic device, comprising:

[0023] One or more processors;

[0024] Memory, used to store one or more programs;

[0025] When the one or more programs are executed by the one or more processors, the one or more processors implement the placement method.

[0026] Fourthly, the present invention also discloses a computer-readable medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the steps in the placement method.

[0027] This invention provides a smart suitcase item placement planning method. It obtains user item placement instructions, scans the items to be placed to obtain their characteristic data, acquires remaining suitcase space data, and performs space matching calculations based on the item characteristic data and remaining space data to obtain the optimal placement scheme. The optimal placement scheme is then displayed to the user in multiple modes, allowing the user to plan and place items accordingly. This invention achieves an integrated solution for item size recognition, space matching calculation, and placement strategy generation. It can automatically generate placement schemes and provide them to the user, saving time and manpower, maximizing suitcase space utilization, and monitoring the overall center of gravity of the items to provide safety reminders and assurances. Attached Figure Description

[0028] Figure 1 A flowchart illustrating a method for planning and placing items in an intelligent suitcase, as provided in an embodiment of the present invention;

[0029] Figure 2 This is a structural block diagram of an intelligent suitcase item planning and placement system provided in an embodiment of the present invention;

[0030] Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0031] To enable those skilled in the art to better understand the technical solutions of the present invention, exemplary embodiments of the present invention are described below in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0032] Where there is no conflict, the various embodiments of the present invention and the features thereof may be combined with each other.

[0033] As used herein, the term “and / or” includes any and all combinations of one or more related enumerated entries.

[0034] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein, the singular forms “a” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that when the terms “comprising” and / or “made of” are used in this specification, the presence of the stated feature, integral, step, operation, element, and / or component is specified, but the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof is not excluded. Terms such as “connected” or “linked” are not limited to physical or mechanical connections but can include electrical connections, whether direct or indirect.

[0035] Unless otherwise specified, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having the meaning consistent with their meaning in the context of the relevant art and the invention, and will not be interpreted as having an idealized or overly formal meaning unless expressly so defined herein.

[0036] In the technical solution of this invention, the collection, storage, use, processing, transmission, provision, and disclosure of user personal information all comply with relevant laws and regulations and do not violate public order and good morals. The use of user data in this technical solution follows relevant national laws and regulations (e.g., the "Information Security Technology - Personal Information Security Specification"). For example: appropriate measures are taken for personal information access control; restrictions are imposed on the display of personal information; the purpose of using personal information does not exceed the scope of direct or reasonable association; and explicit identity targeting is eliminated when using personal information to avoid precisely locating a specific individual.

[0037] To address at least one of the technical problems existing in the aforementioned related technologies, the present invention provides a method and system for planning and placing items in an intelligent suitcase.

[0038] This embodiment discloses a method for planning and placing items in an intelligent suitcase, such as... Figure 1 ,include:

[0039] S100. Obtain the user's item placement instruction, scan the item to be placed, and obtain the feature data of the item to be placed; in this embodiment, the luggage to be placed is scanned to obtain the feature data of the luggage to be placed. The specific method includes: scanning all items through the vehicle's external lidar and roof-mounted binocular camera to obtain the size of each item, and analyzing the material type and weight estimation results of the item based on the CNN classification model.

[0040] Specifically, when a user has a lot of luggage to store in the trunk, they can input the command for intelligent luggage placement planning into the space optimization engine via voice or a mobile app. Upon receiving the command, the space optimization engine controls the external LiDAR and roof-mounted dual-lens camera to scan all the luggage. The scan results, including the dimensions of the items (length × width × height), the material type analyzed using a CNN classification model, and weight estimation, are output to the space optimization engine.

[0041] In this embodiment, after obtaining the size, material, and estimated weight of the item to be placed, data fusion is performed on the item's feature data to reconstruct its three-dimensional data, resulting in a three-dimensional reconstruction result. This result is then sent to the user's in-vehicle infotainment system or mobile app via a spatial engine. Once the three-dimensional reconstruction result is sent to the user's in-vehicle infotainment system or mobile app, the user can view and confirm whether the scanned material and estimated weight are correct. If the scanned material or estimated weight is incorrect, the user can modify the corresponding information through a pop-up interface on the in-vehicle infotainment system or mobile app.

[0042] Specifically, after receiving the object's dimensions, material, and estimated weight, the spatial engine performs data fusion and reconstructs the object's 3D data internally. The scan results are then sent to the vehicle's infotainment system or a mobile app. Users can view and confirm the accuracy of the scanned material, estimated weight, etc., on the infotainment system or mobile app. If the scanned material or estimated weight is incorrect, the user can input relevant information in a pop-up interface on the infotainment system or mobile app. The user's input information is then transmitted to the spatial engine.

[0043] S200. Obtain the remaining space data of the trunk, and perform space matching calculations based on the characteristic data of the items to be placed and the remaining space data of the trunk to obtain the optimal placement scheme for the items to be placed; specifically, the trunk's ToF sensor scans the dimensions of the trunk or the remaining space dimensions (if there are other items in the trunk) and outputs them to the space engine. After receiving the scanned dimensions of the trunk space, the space engine performs trunk space modeling within the engine. After the space engine completes the modeling of the relevant items and trunk space, it performs space matching calculations based on the dimensions of the items and the trunk space.

[0044] In this embodiment, a spatial matching calculation is performed using an improved BLF algorithm on the feature data of the items to be placed and the remaining space data of the suitcase. The specific method includes:

[0045] Initialize the remaining space list, divide the remaining space of the suitcase into multiple three-dimensional rectangular regions, and record the coordinate range, remaining size and load-bearing capacity of each region;

[0046] The items are sorted according to placement rules, which include rules based on the items' inherent attributes and user-preset placement rules. For example, users can input the type of items on the vehicle's infotainment system or mobile app, such as whether the glass is fragile, cannot be subjected to heavy pressure, or needs to be frequently accessed. This information is also input and transmitted to the spatial engine.

[0047] To place an item, first select candidate remaining space, traverse the remaining space list, and filter out spaces that meet the size and weight constraints; then filter suitable spaces based on the shape of the item; next, evaluate the placement position by using the bottom left alignment principle; finally, update the remaining space. After the item is placed, divide the original remaining space into new subspaces, update the remaining space list, delete spaces that are completely occupied, and add newly generated subspaces.

[0048] Perform iterative optimization, repeatedly placing items until all items are placed or no feasible solution is found.

[0049] In some preferred embodiments, when performing spatial matching calculations, constraint adjustment priorities are added. These constraints include at least: fragile item pressure resistance constraint adjustment, center of gravity stability constraint adjustment, and ease of retrieval constraint adjustment. After adding constraint adjustment priorities, the stability and space utilization of the evaluated placement location are optimized according to the constraint adjustment priorities. When the item is heavy, the remaining space at the bottom is selected first. When the item is fragile, the shock-absorbing layer or area with less pressure is selected first. The fragmentation degree of the remaining space after the item is placed is calculated, and the placement scheme with the least fragmentation is selected.

[0050] Specifically, the spatial matching calculation employs an improved BLF algorithm (Bottom-Left-Fill with Genetic Optimization), increasing space utilization to over 92% and reducing calculation time to less than 3 seconds (for a scenario with 10 items). During spatial matching calculation, constraints are prioritized: protection against crushing fragile items (e.g., glass items should be placed on the top layer), center of gravity stability (XYZ axis moment balance equations), and ease of access (frequently used items should be placed near openings). This is combined with information input by the user on the vehicle's infotainment system or mobile app for further evaluation.

[0051] S300. The optimal placement scheme for the items to be placed is displayed to the user in multiple modes, and the user plans and places the items based on the optimal placement scheme.

[0052] In this embodiment, the optimal placement scheme for the items to be placed is displayed to the user via video and audio. Specifically, the method of displaying the optimal placement scheme via video includes: transmitting the optimal placement scheme to the vehicle's infotainment screen for display; generating a 3D semi-transparent trunk model on the vehicle's infotainment screen; numbering the order in which the items are placed; displaying the arranged items on the 3D semi-transparent trunk model; highlighting prohibited areas with a special color; and calculating and displaying the distribution of the center of gravity and pressure of the arranged luggage in the 3D trunk model.

[0053] In this embodiment, the optimal placement scheme for the items to be placed is displayed to the user via voice. Specifically, the spatial engine generates text information about the placement order and transmits it to the vehicle's voice system. Upon receiving the text, the voice system provides voice guidance, such as: "Please place the blue suitcase (60x40x30cm) at the bottom; place the cat carrier in the groove on the left side panel; do not place heavy objects on the brown suitcase." The user can then follow the voice guidance to place the items in the suitcase.

[0054] This embodiment provides a smart suitcase item placement planning method. By obtaining the user's item placement instructions, the method scans the items to be placed to obtain their characteristic data; it also obtains the remaining space data in the suitcase, and performs space matching calculations based on the item characteristic data and the remaining space data to obtain the optimal placement scheme for the items; the optimal placement scheme is then displayed to the user in multiple modes, allowing the user to plan and place their items accordingly. This invention achieves an integrated solution for item size recognition, space matching calculation, and placement strategy generation, automatically generating placement schemes and providing them to the user, saving time and manpower, maximizing suitcase space utilization, and monitoring the overall center of gravity of the items to provide safety reminders and assurances.

[0055] Based on the same inventive concept, embodiments of the present invention also provide an intelligent suitcase item planning and placement system, such as... Figure 2 It includes: a unit for acquiring feature data of items to be placed, a unit for calculating the optimal placement scheme, and a unit for displaying the optimal placement scheme; wherein:

[0056] The item feature data acquisition unit is used to acquire the user's item placement instruction, scan the item to be placed, and obtain the item feature data.

[0057] The optimal placement scheme calculation unit is used to obtain the remaining space data of the suitcase, perform space matching calculation based on the characteristic data of the items to be placed and the remaining space data of the suitcase, and obtain the optimal placement scheme of the items to be placed.

[0058] The optimal placement scheme display unit is used to display the optimal placement scheme of the item to be placed to the user in multiple modes, and the user plans and places the item based on the optimal placement scheme.

[0059] The specific working methods of the item feature data acquisition unit, the optimal placement scheme calculation unit, and the optimal placement scheme display unit have been described in detail in a smart suitcase item planning and placement method, and will not be repeated here in this embodiment.

[0060] Based on the same inventive concept, embodiments of the present invention also provide an electronic device. Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an electronic device including: one or more processors 101, a memory 102, and one or more I / O interfaces 103. The memory 102 stores one or more programs, which, when executed by the one or more processors, cause the one or more processors to implement any of the placement methods described in the above embodiments; the one or more I / O interfaces 103 are connected between the processor and the memory, configured to enable information interaction between the processor and the memory.

[0061] The processor 101 is a device with data processing capabilities, including but not limited to a central processing unit (CPU); the memory 102 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), and flash memory (FLASH); the I / O interface (read / write interface) 103 is connected between the processor 101 and the memory 102, and can realize information interaction between the processor 101 and the memory 102, including but not limited to a data bus (Bus).

[0062] In some embodiments, the processor 101, memory 102, and I / O interface 103 are interconnected via bus 104, and thus connected to other components of the computing device.

[0063] In some embodiments, the one or more processors 101 include a field-programmable gate array.

[0064] This invention also provides a computer-readable medium. The computer-readable medium stores a computer program, which, when executed by a processor, implements the steps of any of the placement methods described in the above embodiments. The computer-readable storage medium may be volatile or non-volatile.

[0065] This invention also provides a computer program product, including computer-readable code, or a non-volatile computer-readable storage medium carrying computer-readable code. When the computer-readable code is run in the processor of an electronic device, the processor in the electronic device executes the above-described placement method.

[0066] Those skilled in the art will understand that all or some of the steps, systems, and apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software can be distributed on a computer-readable storage medium, which may include computer storage media (or non-transitory media) and communication media (or transient media).

[0067] As is known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable program instructions, data structures, program modules, or other data. Computer storage media includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technologies, portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and is accessible to a computer. Furthermore, it is known to those skilled in the art that communication media typically contain computer-readable program instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0068] The computer-readable program instructions described herein can be downloaded from computer-readable storage media to various computing / processing devices, or downloaded via a network, such as the Internet, local area network, wide area network, and / or wireless network, to an external computer or external storage device. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and / or edge servers. A network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards them to the computer-readable storage media in the respective computing / processing device.

[0069] The computer program instructions used to perform the operations of this invention may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Smalltalk, C++, etc., and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or may be connected to an external computer (e.g., via the Internet using an Internet service provider). In some embodiments, electronic circuitry, such as programmable logic circuitry, field-programmable gate arrays (FPGAs), or programmable logic arrays (PLAs), is personalized by utilizing state information from the computer-readable program instructions. This electronic circuitry can execute the computer-readable program instructions to implement various aspects of the invention.

[0070] The computer program product described herein can be implemented specifically through hardware, software, or a combination thereof. In one alternative embodiment, the computer program product is specifically embodied in a computer storage medium; in another alternative embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0071] Various aspects of the present invention are described herein with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer-readable program instructions.

[0072] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that, when executed by the processor of the computer or other programmable data processing apparatus, they create means for implementing the functions / actions specified in one or more blocks of the flowchart and / or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium that causes a computer, programmable data processing apparatus, and / or other device to operate in a particular manner; thus, the computer-readable medium storing the instructions comprises an article of manufacture that includes instructions for implementing aspects of the functions / actions specified in one or more blocks of the flowchart and / or block diagram.

[0073] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to perform the functions / actions specified in one or more boxes of a flowchart and / or block diagram.

[0074] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of an instruction, which contains one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than those shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0075] Example embodiments have been disclosed herein, and while specific terminology has been used, it is for illustrative purposes only and should be construed as such, and is not intended to be limiting. In some instances, it will be apparent to those skilled in the art that features, characteristics, and / or elements described in conjunction with particular embodiments may be used alone, or in combination with features, characteristics, and / or elements described in conjunction with other embodiments, unless otherwise expressly indicated. Therefore, those skilled in the art will understand that various changes in form and detail may be made without departing from the scope of the invention as set forth in the appended claims.

Claims

1. A smart luggage item planning placement method, characterized by, The method comprises the following steps: Obtain the user's item placement instructions, scan the items to be placed, and obtain the item feature data; Obtain the remaining space data of the luggage, and perform space matching calculation based on the item feature data and the remaining space data of the luggage to obtain the optimal placement scheme of the items to be placed; Display the optimal placement scheme of the items to be placed to the user through multiple modes, and the user plans and places the items based on the optimal placement scheme.

2. The placement method of claim 1, wherein, Scan the luggage to be placed to obtain the luggage feature data, which includes the following steps: scan all items through the external laser radar and the roof dual-camera to obtain the size of each item, and analyze the material type and weight estimation result of the item based on the CNN classification model.

3. The placement method of claim 2, wherein, After obtaining the size, material, and estimated weight of the items to be placed, the item feature data is fused, the three-dimensional data of the items is reconstructed, the three-dimensional reconstruction result of the items is obtained, and the three-dimensional reconstruction result of the items is sent to the user's car machine or mobile phone APP through the space engine.

4. The placement method of claim 3, wherein, After the three-dimensional reconstruction result of the items is sent to the user's car machine or mobile phone APP, the user checks and confirms whether the scanned material and estimated weight are correct on the car machine or mobile phone APP; if the scanned material and estimated weight are incorrect, the user modifies the corresponding information on the interface popped up on the car machine or mobile phone APP.

5. The placement method of claim 1, wherein, The space matching calculation of the item feature data and the remaining space data of the luggage is performed through the improved BLF algorithm, which includes the following steps: Initialize the remaining space list, divide the remaining space of the luggage into multiple three-dimensional rectangular regions, and record the coordinate range, remaining size, and bearing capacity of each region; Sort the placement order of the items according to the item placement rules, which include the item attribute rules and the user's preset placement rules; Place the items, first select the candidate remaining space, traverse the remaining space list, and filter out the spaces that meet the size constraint and weight constraint; according to the shape of the item, filter out the adaptive spaces; then evaluate the placement position, evaluate the placement position through the bottom left alignment principle; finally, update the remaining space, after the item is placed, divide the original remaining space into new subspaces, update the remaining space list, delete the completely occupied spaces, and add the newly generated subspaces; Iterative optimization, repeat the item placement method until all items are placed or there is no feasible solution.

6. The placement method of claim 5, wherein, When performing space matching calculation, add constraint adjustment priority, which at least includes: fragile product anti-pressure constraint adjustment, gravity stability constraint adjustment, and pick-and-place convenience constraint adjustment; after adding the constraint adjustment priority, the stability optimization and space utilization optimization of the evaluated placement position are performed according to the constraint adjustment priority, when the item is a heavy object, the bottom layer remaining space is preferred, when the item is a fragile product, the shockproof layer or the area with less pressure is preferred, the fragmentation degree of the remaining space after placing the item is calculated, and the placement scheme with the smallest fragmentation is selected.

7. The placement method of claim 1, wherein, The optimal placement scheme of the to-be-placed items is displayed to the user through video and voice, wherein the optimal placement scheme of the to-be-placed items is displayed to the user through video, and the specific method comprises the following steps: transmitting the optimal placement scheme of the to-be-placed items to a car machine screen to display, generating a 3D semi-transparent car model of the trunk on the car machine screen; numbering the order of placing the items, displaying the placed items on the 3D semi-transparent car model of the trunk, highlighting the prohibited space with a special color, and displaying the distribution of the luggage gravity center and pressure after calculation in the 3D car model trunk.

8. An intelligent luggage item planning placement system, characterized by, Comprise: a to-be-placed item characteristic data acquisition unit, an optimal placement scheme calculation unit and an optimal placement scheme display unit; wherein: the to-be-placed item characteristic data acquisition unit is used to acquire the user's item placement instruction, scan the to-be-placed items, and obtain the to-be-placed item characteristic data; the optimal placement scheme calculation unit is used to acquire the remaining space data of the trunk, perform space matching calculation according to the to-be-placed item characteristic data and the remaining space data of the trunk, and obtain the optimal placement scheme of the to-be-placed items; the optimal placement scheme display unit is used to display the optimal placement scheme of the to-be-placed items to the user through multiple modes, and the user plans to place the items based on the optimal placement scheme.

9. An electronic device, comprising: Comprise: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the placement method as claimed in any one of claims 1 to 8.

10. A computer readable medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the steps in the placement method as claimed in any one of claims 1 to 8. The computer program is executed by the processor to implement the steps in the placement method as claimed in any one of claims 1 to 8.

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