Automobile carriage multifunctional transformation system and method

Abstract

The embodiment of the invention provides an automobile compartment multifunctional transformation system and method, and the method can comprise the steps: determining a compartment model based on compartment structure data; correcting the carriage model based on the transformation data; based on the first transformation parameters, controlling the corrected carriage model to perform analogue simulation, and determining a first limited feature; determining an improved parameter based on the first limited feature; the improved parameter and the first restricted feature are sent to the display device.

Description

Technical Field

[0001] This specification relates to the field of vehicle compartment transformation, and particularly to a multi-functional vehicle compartment transformation system and method. Background Art

[0002] With the continuous development of the automotive market and the diversification of consumer demands, the functionality and flexibility of automobiles have received increasing attention. In international automotive trade, the Completely Knocked Down (CKD) export model demonstrates significant economic benefits due to its low transportation costs and advantages in local assembly. Modular system design enables flexible switching of vehicle functions through replaceable functional compartments, facilitating efficient local assembly in the global market.

[0003] Traditional automotive designs are typically optimized for a single use and are difficult to meet the diverse needs of users in different scenarios. For example, after a sedan is exported to the global market, its functional use is fixed as a passenger car. If a user wishes to convert it into a logistics vehicle or a pickup truck, significant modifications to the compartment and chassis structures are required. This multi-functional demand has given rise to the development of vehicle compartment transformation systems.

[0004] Currently, there are some modular transformation systems on the market. These systems use in-vehicle control units in combination with actuators such as motors, hydraulic rods, and robotic arms to achieve automatic deformation and functional conversion of the compartment structure. However, during the actual transformation process, problems such as limited component displacement and insufficient rotation angles may occur, affecting the integrity of the transformation and the realization of functions. In addition, due to the lack of effective simulation testing and warning mechanisms, these problems can often only be discovered during the actual transformation process, increasing the usage risks and maintenance costs.

[0005] Therefore, there is an urgent need for a multi-functional vehicle compartment transformation system that can perform simulation testing before transformation to pre-identify and solve potential problems, ensuring the feasibility and safety of the transformation. At the same time, the vehicle can not only achieve flexible transformation between different functional compartments but also enable efficient local assembly in the global market, reducing the transportation costs and tariff burdens of vehicle exports. For example, rapid conversion between a passenger compartment and a freight compartment can meet the usage needs of users in multiple scenarios. Summary of the Invention

[0006] One or more embodiments of this specification provide a multi-functional transformation system for an automobile carriage. The multi-functional transformation system for the automobile carriage includes: an input device, a sampling sensor, a display device, and a processor. The input device is configured to obtain carriage structure data, the sampling sensor is configured to collect transformation data of the carriage, the display device is configured to display improvement parameters and first restricted features, and the processor is configured to: determine a carriage model based on the carriage structure data; correct the carriage model based on the transformation data; control the corrected carriage model to perform a simulation based on first transformation parameters to determine the first restricted features; determine the improvement parameters based on the first restricted features; and send the improvement parameters and the first restricted features to the display device.

[0007] One or more embodiments of this specification provide a method for a multi-functional transformation device for an automobile carriage. The method includes: determining a carriage model based on the carriage structure data; correcting the carriage model based on the transformation data; controlling the corrected carriage model to perform a simulation based on first transformation parameters to determine the first restricted features; determining the improvement parameters based on the first restricted features; and sending the improvement parameters and the first restricted features to the display device.

[0008] One or more embodiments of this specification provide a multi-functional transformation device for an automobile carriage, including a processor, and the processor is used to execute the multi-functional transformation method for the automobile carriage.

[0009] One or more embodiments of this specification provide a computer-readable storage medium. The storage medium stores computer instructions, and when a computer reads the computer instructions in the storage medium, the computer executes the multi-functional transformation method for the automobile carriage. Description of the Drawings

[0010] This specification will be further described by way of exemplary embodiments, and these exemplary embodiments will be described in detail through the drawings. These embodiments are not restrictive. In these embodiments, the same numbers represent the same structures, where:

[0011] Figure 1 is a system schematic diagram of a multi-functional transformation system for an automobile carriage shown according to some embodiments of this specification;

[0012] Figure 2 is a method flow chart of a multi-functional transformation of an automobile carriage shown according to some embodiments of this specification;

[0013] Figure 3 is a schematic diagram of determining the first restricted features shown according to some embodiments of this specification;

[0014] Figure 4It is a flowchart of a method for determining improvement parameters shown in some embodiments of this specification;

[0015] Figures 5A - 5D It is a carriage assembly for installing different functional cabins shown in some embodiments of this specification;

[0016] Figure 6 It is a schematic diagram of assembling cockpit components shown in some embodiments of this specification;

[0017] Figure 7 It is a schematic diagram of assembling various types of functional cabins shown in some embodiments of this specification; Detailed implementation manners

[0018] To more clearly illustrate the technical solutions of the embodiments of this specification, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some examples or embodiments of this specification. For those of ordinary skill in the art, without creative efforts, this specification can also be applied to other similar scenarios based on these drawings. Unless obvious from the language context or otherwise stated, the same reference numerals in the figures represent the same structure or operation.

[0019] It should be understood that the "system", "device", "unit" and / or "module" used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the said words can be replaced by other expressions.

[0020] Unless the context clearly indicates an exception, the words "a", "one", "kind" and / or "the" etc. do not specifically refer to the singular, but may also include the plural. Generally speaking, the terms "comprising" and "including" only indicate the inclusion of the clearly identified steps and elements, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0021] Flowcharts are used in this specification to illustrate the operations performed by the systems according to the embodiments of this specification. It should be understood that the previous or subsequent operations do not necessarily need to be executed precisely in sequence. On the contrary, the steps can be processed in reverse order or simultaneously. At the same time, other operations can also be added to these processes, or one or several steps can be removed from these processes.

[0022] Figure 1 It is a system schematic diagram of an automotive carriage multi-functional conversion system shown in some embodiments of this specification. In some embodiments, the automotive carriage multi-functional conversion system 100 includes an input device 110, a sampling sensor 120, a processor 130, and a display device 140.

[0023] The input device 110 can obtain the carriage structure data, where the carriage structure data includes the dimension data, material data, and mating data of the carriage components, etc. The carriage components include the dressing-changing components and the fixed components. The input device 110 can include devices such as a keyboard and mouse, a data interface (such as a USB interface), and a scanning device (used to scan drawings).

[0024] The sampling sensor 120 is configured to collect the dressing-changing data of the carriage, where the dressing-changing data includes the motion data and stress data of each dressing-changing component, etc. The sampling sensor 120 can include sensing devices such as motion sensors and stress sensors (collecting stress data during the dressing-changing process) installed on multiple dressing-changing components.

[0025] In some embodiments, the processor 130 refers to a component having a data processing function, such as an integrated circuit chip. The processor can be of various specifications. The processor 130 can receive the carriage structure data of the input device 110 and the dressing-changing data of the sampling sensor 120, and output improvement parameters and first restricted features. For example, the processor can determine a carriage model based on the carriage structure data, correct the carriage model based on the dressing-changing data, control the corrected carriage model to perform a simulation based on the first dressing-changing parameter to determine the first restricted feature, determine the improvement parameters based on the first restricted feature, and send the improvement parameters and the first restricted feature to the display device

[0026] The display device 140 is an electronic device for displaying information. The display device 140 is configured to display the improvement parameters and the first restricted features obtained by the processor 130 for the user to view.

[0027] It should be noted that the above description of the automotive carriage multi-functional dressing-changing system 100 and its modules is only for convenience of description and does not limit this specification to the scope of the exemplified embodiments. It can be understood that for those skilled in the art, after understanding the principle of the system, they may, without departing from this principle, make any combination of the various modules, or form a subsystem and connect it with other modules. In some embodiments, Figure 1 The input device 110, the sampling sensor 120, the processor 130, and the display device 140 disclosed in may be different modules in a system, or a module may implement the functions of two or more of the above modules. For example, the various modules can share a storage module, or each module can have its own storage module respectively. Such deformations are all within the protection scope of this specification.

[0028] Figure 2 is an exemplary flowchart of an automotive carriage multi-functional dressing-changing method according to some embodiments of this specification. In some embodiments, the process 200 is executed by the processor.

[0029] In some embodiments, the processor may determine a carriage model based on carriage structure data, correct the carriage model based on dressing data, control the corrected carriage model to perform a simulation based on first dressing parameters, determine first restricted features, determine improvement parameters based on the first restricted features, and send the improvement parameters and the first restricted features to a display device. The display device is configured to display the improvement parameters and the first restricted features.

[0030] Step 210: Determine a carriage model based on carriage structure data.

[0031] Carriage structure data refers to data related to carriage components. For example, the carriage structure data includes at least one of dimension data, material data, and mating data of the carriage components.

[0032] Figures 5A - 5D It is a carriage component for installing different functional compartments as shown in some embodiments of this specification. A carriage component refers to a component that constitutes the overall structure of an automobile carriage. For example, the carriage components include one or more dressing components and fixed components, etc. Among them, the fixed component is a component that remains fixed during the carriage dressing process and is responsible for supporting and stabilizing the entire carriage structure. For example, the fixed component includes carriage chassis component 530, etc. Among them, the chassis component refers to a component located on the vehicle chassis at the bottom of the vehicle. For example, the chassis component includes tires, etc.

[0033] A dressing component refers to a component that needs to move or change its posture. For example, it includes cockpit component 510 of the carriage, functional compartment 520, cold connection components, etc. Among them, cockpit component 510 refers to the components inside the automobile cockpit. For example, cockpit component 510 includes a steering wheel, an instrument panel, etc. Functional compartment 520 refers to a vehicle compartment that can implement different functions. A cold connection component refers to a component that realizes the connection of vehicle components. For example, the cold connection component may include self-piercing rivets, flow drill screws, adhesives, bolts, and nuts, etc.

[0034] In some embodiments, one or more groups of mating positions with corresponding positions and matching shapes are provided on the fixed component and the functional compartment.

[0035] A mating position refers to the position where the fixed component is connected to the functional compartment. In some embodiments, different types of functional compartments are configured to be respectively connected to the mating positions at corresponding positions of the vehicle fixed component through various cold connection methods based on cold connection components. Thus, the vehicle can complete the dressing function to adapt to various usage scenarios.

[0036] In some embodiments, the types of functional cabins may include, but are not limited to, passenger cabins, truck cabins, sightseeing cabins, and merchandise operation cabins, etc., and can be switched between different types of functional cabins according to needs to complete the transformation of the carriage. For example, the passenger cabin can be disassembled from the carriage and transformed and replaced with a logistics cabin.

[0037] In some embodiments, such as Figures 5A - 5D shown, technicians can splice the cockpit component 510 and the functional cabin 520 according to needs, so that the vehicle can be transformed into a dump truck 540, a van 550, a passenger car 560, a sightseeing car 570, etc.

[0038] In some embodiments, the cockpit component 510 and the functional cabin 520 of the carriage assembly can be integrated. For example, carriage assemblies mainly for seating such as sedans, SUVs, and vans.

[0039] Exemplarily, when the passenger cabin is installed on the fixed component, the vehicle can be transformed into a passenger car, an SUV, or a passenger business vehicle, etc., to meet the needs of daily commuting or carrying passengers; when the sightseeing cabin is installed on the fixed component, the vehicle can be transformed into a tourist sightseeing vehicle, etc., to meet the needs of scenic area tourism; when the truck cabin is installed on the fixed component, the vehicle can be transformed into a truck or a delivery vehicle to meet the needs of cargo transportation.

[0040] In some embodiments of this specification, through diverse types of functional cabins, diverse needs can be met by replacing the functional cabin. For example, according to different scenario needs (such as daily commuting, cargo transportation, commercial activities), it can be flexibly adjusted and switched to a passenger car, a freight car, or a mobile commercial vehicle to meet various needs such as seating, freight transportation, and commercial operation, and supports the independent maintenance and replacement of the functional cabin, improving the functional diversity and usage efficiency of the vehicle.

[0041] Figure 6 is a schematic diagram of assembling the cockpit component according to some embodiments of this specification.

[0042] Such as Figure 6 shown, the cockpit function module includes multiple function modules such as the lower body module 610, the left side panel module 620, the right side panel module 630, the rear panel module 640, the top crossbeam module 650, the subframe module 660, and the frontal collision module 670, etc.

[0043] In some embodiments, such as Figure 6As shown, detachable assembly can be achieved between different functional modules through cold connection components to realize the overall assembly of the vehicle body / shell. For example, the lower vehicle body module 610 and the subframe module 620 can be positioned first and fixed through cold connection technology, and then the left side body module 620 and the right side body module 630 are connected to the lower vehicle body module 610 in sequence; subsequently, the rear body module 640, the top crossbeam module 650, and the frontal collision module 670 are respectively spliced and fixed to the previously assembled parts to assemble the cockpit component 510.

[0044] Figure 7 It is a schematic diagram of assembling multiple types of functional cabins shown according to some embodiments of this specification.

[0045] In some embodiments, as Figure 7 shown, technicians can assemble different scattered vehicle parts using cold connection technology according to requirements, thereby forming multiple types of functional cabins 520, and technicians can splice the vehicle chassis component 530 and different types of functional cabins 520 according to requirements, so that the vehicle can be transformed into a dump truck 540 or a van 550, etc. For example, an open dump can be assembled onto the chassis first to transform the vehicle into a dump truck 540; when it is necessary to convert it into a van 550, the closed cargo box module can be replaced and installed onto the chassis using cold connection technology to achieve the assembly of the van 550.

[0046] Through the matching and docking of the above-mentioned modules and cold connection technology, a complete vehicle shell or body structure can be quickly and reliably formed according to requirements, and thus vehicles of different models can be obtained.

[0047] In some embodiments, the cold connection technology corresponding to the cold connection components may not rely on welding, melting, or other heat treatment processes, etc. For example, the cold connection technology may include, but is not limited to, one or more of Self-Piercing Riveting (SPR), Flow Drill Screw (FDS), Adhesive Bonding, Flange Connection, Piece-locking connection, Crimping, and Bolted Joints. Technicians can select the corresponding connection method according to requirements, and the form of the mating position can be designed according to specific requirements to adapt to different cold connection methods, and different cold connection components (such as self-piercing rivets, flow drill screws, bolts, etc.) are used for different mating positions.

[0048] Exemplarily, when self-piercing riveting is adopted, the mechanical locking connection between the fixing component and the functional cabin can be achieved through self-piercing rivets. For example, it is applicable to the double-layer and multi-layer connections of homogeneous or heterogeneous materials such as aluminum alloy and steel; flow drill screwing can complete the threaded connection between the fixing component and the functional cabin through flow drill screws. For example, it is applicable to the connection of aluminum alloy materials or the connection between the fixing component and the special-shaped structure in the functional cabin; adhesive bonding uses adhesives to achieve the connection between the fixing component and heterogeneous materials in the functional cabin; hemming connection can utilize the curling design of the material edge and achieve the edge connection of materials such as aluminum alloy plates, hot-formed ultra-high-strength steel, and ordinary steel through edge-sealing adhesives; Piece-locking connection can set pits at certain intervals on the material in the hemming area and achieve the fitting and fixation of multi-layer materials through rivets and adhesives; crimping is a process method that can make metal parts plastically deformed by applying pressure and form a tight bond with the parts to be connected. For example, crimping can be used to tightly connect the wire terminals in the fixing component with the wire cores to form an electrical connection with high conductivity and high mechanical stability; it can also be used for fixing metal pipe fittings in the functional cabin to make it have good sealing performance and mechanical strength at the pipe connection part; screwing can achieve the mechanical connection between the fixing component and the functional cabin through bolts and nuts. For example, in the connection between the functional cabin and the chassis, screwing can achieve rapid assembly and disassembly through preset screw holes.

[0049] In some embodiments of the present specification, through a variety of cold connection methods, different functional cabins can be reliably connected to the fixing component, supporting the rapid refitting of the vehicle to adapt to various usage scenarios. For example, self-piercing riveting can avoid the influence of heat treatment on the material properties and will not damage the coating on the material surface during the connection process; flow drill screwing can connect metals and non-metals of different materials to meet various connection requirements; adhesive bonding can firmly connect a variety of different types of materials together, especially suitable for the connection of heterogeneous materials that cannot be achieved by traditional welding; screwing can support the multiple disassembly and assembly of the fixing component and the functional cabin, facilitating the maintenance, replacement, and function upgrade of the vehicle, and extending the service life of the carriage component; by using different cold connection components at different mating positions, the flexible combination of the refitting components is ensured. For example, the connection parts of the passenger cabin can adopt screwing or adhesive bonding to ensure the load-bearing strength and comfort; the logistics cabin adopts flow drill screwing to meet the high-load requirements;

[0050] In some embodiments of the present specification, by configuring the functional cabin to be connected to the fixed component through a cold connection component, in the CKD export mode, not only the complexity of vehicle conversion operations is reduced, but also the supply chain process is simplified, facilitating global production and rapid market response. The cold connection technology can significantly reduce the transportation volume and complexity, increase the reusability and flexibility of the conversion components; by designing the functional cabin of the vehicle to be replaceable and convertible, the vehicle can switch between different types of functional cabins according to the user's own needs. In various usage environments of the CKD export mode, the vehicle functional cabin can be directly assembled at the transportation destination and can be reused multiple times during disassembly and assembly, greatly enhancing the functional value of the vehicle. At the same time, the conversion components can be shared among different vehicle models, reducing the types and quantities of vehicle-specific parts and lowering the overall R & D and manufacturing costs.

[0051] The dimension data refers to the data related to the dimensions of the carriage components. In some embodiments, the dimension data can be in the form of STP or STEP file formats of CAD (Computer-Aided Design, CAD) to completely record the dimension data of the carriage components.

[0052] The material data refers to the data related to the material properties of the carriage components. For example, the material data includes tensile and compressive strength, plasticity, elasticity, density, etc.

[0053] The mating data refers to the data related to the mating methods, relative position relationships, etc. between the respective carriage components. For example, the mating data can include thread mating, pin mating between the carriage components, the degree of freedom of movement of the components, etc. In some embodiments, the mating data can also be in the form of STP or STEP file formats of CAD.

[0054] The carriage model refers to the three-dimensional model corresponding to the carriage.

[0055] In some embodiments, the processor can construct a three-dimensional carriage model based on the dimension parameters and mating data through a three-dimensional modeling tool or modeling platform, and assign mechanical properties such as flexibility, mass, and center of gravity to each carriage component according to the material data to obtain a carriage simulation model (i.e., the carriage model hereafter) that can display three-dimensional structures and performance attributes. For example, the three-dimensional modeling tool or modeling platform can include three-dimensional modeling software such as CAD, Maya, 3ds Max, etc.

[0056] In some embodiments, the carriage model can include a power device for driving the carriage to be converted. For example, a motor, a hydraulic device, etc.

[0057] Step 220, based on the conversion data, correct the carriage model.

[0058] The dressing data refers to the data generated during the dressing process of the carriage assembly based on the dressing parameters. For example, the dressing data includes the dressing action sequence of each carriage component, the stress data of the carriage component, the torque required for the drive component to rotate, etc.

[0059] In some embodiments, the sampling sensor can collect dressing data during the actual dressing process of the carriage. For example, the processor can collect dressing data during the dressing process through motion sensors and stress sensors installed on multiple dressing components.

[0060] The dressing parameters refer to the parameters related to the dressing of the carriage. For example, the dressing parameters include parameters such as the dressing action sequence, movement speed, movement displacement (rotation angle, movement distance), and torque of each dressing component.

[0061] The control of the dressing parameters can be achieved by controlling the rotation parameters (such as rotation sequence, rotation speed, rotation angle, etc.) of each power device. The dressing parameters can be preset by the processor and / or preset by the user according to requirements.

[0062] In some embodiments, the processor can correct the carriage model according to the difference between the actual dressing data collected by the sampling sensor during the actual dressing of the carriage and the simulated dressing data obtained when the computer performs a dressing simulation on the carriage model based on the same dressing parameters.

[0063] Correcting the carriage model can include correcting the carriage structure data corresponding to the carriage model. For example, the processor can determine the actual structure parameters of the corresponding vehicle model components of the carriage model based on the actual dressing data, and determine the corresponding mechanical property values of the corresponding carriage components based on the actual structure parameters to correct and update the carriage model.

[0064] Step 230, based on the first dressing parameter, control the corrected carriage model to perform a simulation to determine the first restricted feature.

[0065] The first dressing parameter refers to the dressing parameter used when the corrected carriage model performs a simulation again.

[0066] In some embodiments, the first control parameter can be preset by the processor and / or preset by the user according to requirements. For example, the first control parameter can be the same as the dressing parameter used in the aforementioned dressing simulation.

[0067] The simulation refers to the computer simulating the dressing process of the carriage through simulation technology.

[0068] In some embodiments, the carriage can be simulated based on the first transformation parameter, and the user can pre-enter the first transformation parameter through an input device according to requirements. For example, the processor can control the operation of the power device in the carriage model according to the first transformation parameter to transform the carriage into other forms.

[0069] In some embodiments, each component in the carriage model is modeled as an impenetrable entity and has weight. Therefore, the simulation can simulate the gravity change, the applied power change, and the influence of the interaction force, etc. of the components during the transformation according to these physical characteristics to reflect the actual physical phenomena that may be encountered during the transformation process.

[0070] The first restricted feature refers to the feature that may cause the carriage transformation to not be completed normally. For example, the first restricted feature includes restricted components, restricted types, restricted degrees, etc. Among them, the situations where the carriage transformation cannot be completed normally include that the transformation process of the carriage model cannot be completed normally in the simulation, and the carriage components after transformation cannot be used normally, etc.

[0071] The restricted component refers to the specific carriage component that has the above-mentioned transformation problems such as the transformation cannot be completed normally or the component cannot be used normally after transformation in the simulation.

[0072] The restricted type refers to the type of reason that causes the restricted component to have the above-mentioned transformation problems. For example, the restricted type includes restricted rotation angle, restricted moving distance, restricted strength, the pre-transformation component is a restricted component, etc.

[0073] The restricted degree refers to the proportion of the uncompleted transformation of the restricted component or the proportion exceeding the design value. For example, the restricted degree includes the proportion of the angle that the carriage component cannot continue to rotate to the theoretical angle, the proportion of the distance that the carriage component cannot continue to move to the theoretical distance, the proportion of the strength of the carriage component exceeding the theoretical design value, etc.

[0074] The pre-transformation component refers to the component that completes the transformation before the post-transformation component in the simulation. In some embodiments, after the pre-transformation component completes the transformation, the post-transformation component can start to transform.

[0075] The post-transformation component refers to the component that can only transform after the pre-transformation component completes the transformation. In some embodiments, if the pre-transformation component has restricted transformation, the post-transformation component is also a restricted component, and the restricted type of the post-transformation component can be "the pre-transformation component is a restricted component".

[0076] In some embodiments, the front transformation component and the rear transformation component are relative to the two transformation components. The front transformation component needs to complete the transformation operation prior to the rear transformation component. For example, if transformation component B can only transform after transformation component A has completed its transformation, then transformation component B is the rear transformation component of transformation component A, and transformation component A is the front transformation component of transformation component B.

[0077] In some embodiments, the processor may control the corrected carriage model to perform a simulation based on the first transformation parameter. If a transformation component has limited transformation, then this component is regarded as a limited component. The processor may record the limited characteristics corresponding to the limited component as the first limited characteristics, and skip the simulation of the limited component. At the same time, the limited component that has been transformed during the simulation is restored to its undeformed initial state, and the transformation simulation of the remaining components continues until the transformation is completed, thereby obtaining all the first limited characteristics. Among them, the limited transformation of a transformation component includes interference with other components during the rotation or revolution of the transformation component, the proportion of the strength of the carriage components exceeding the theoretical design value after the transformation of the transformation component, or the limited transformation of the front transformation component of the transformation component, etc.

[0078] Step 240: Determine improvement parameters based on the first limited characteristics.

[0079] The improvement parameters refer to the parameters for improving the carriage components. For example, the improvement parameters include changing the size of the carriage components, changing the position of the carriage components, replacing the material of the carriage components, adding reinforcement components, etc.

[0080] In some embodiments, the processor may determine corresponding improvement parameters according to different first limited characteristics. For example, for the limited type of rotation angle limitation or movement distance limitation, the processor may calculate the safety distance between the two interfering components, determine multiple candidate positions based on the safety distance, and use the multiple candidate positions as the improvement parameters. Among them, the candidate position refers to the position where the two components will not interfere after being changed according to the safety distance.

[0081] For another example, for the limited type of strength limitation, the processor may calculate the performance requirements of the carriage components according to the safety factor and the degree of limitation (for example, calculate the tensile and compressive strength required by the components); based on the performance requirements of the components, determine multiple candidate reinforcement parameters according to a preset rule; and use the multiple candidate reinforcement parameters as the improvement parameters.

[0082] For another example, for the restricted component B with the restricted type of "the pre-dressing component is the restricted component", the improvement parameters corresponding to the pre-dressing component A can be determined based on the restricted type of the pre-dressing component A. At this time, the restricted type of the restricted component B is no longer "the pre-dressing component is the restricted component"; the processor can continue the simulation based on the improvement parameters to determine whether the restricted component B is still a restricted component. If the restricted component B is still a restricted component, the corresponding improvement parameters are continuously generated based on its restricted type until there are no restricted components, and the last improvement parameter is determined as the final improvement parameter.

[0083] Among them, the candidate reinforcement parameters include parameters such as increasing the size, replacing the material, and adding different reinforcement components; the preset rule refers to the calculation relationship between different reinforcement parameters and the performance after reinforcement; the safety factor and the preset rule can be set by the default of the processor and / or preset by the user according to requirements.

[0084] In some embodiments, the processor can also set scores for each candidate position and candidate reinforcement parameter according to the degree of change and reinforcement cost involved, and use the score as an improvement parameter for the user's reference. For example, if the change in some changed positions is small, the score is higher. For another example, if the candidate reinforcement parameter of increasing the size corresponds to a higher cost, the score is lower, and so on.

[0085] Step 250, send the improvement parameter and the first restricted feature to the display device.

[0086] In some embodiments, the display device is configured to display the improvement parameter and the first restricted feature for the user to refer to and select.

[0087] In some embodiments of this specification, through the corrected carriage model for simulation, it is ensured that the carriage model is more in line with the physical characteristics of the actual carriage, thereby improving the accuracy and reliability of the simulation; by identifying the first restricted feature during the dressing process, the processor can determine the improvement parameters for each restricted component and display them to the user, enabling the user to more intuitively understand the problems existing in the carriage during the simulation, ensuring the safety, reliability, and operability of the carriage in the actual dressing scenario.

[0088] It should be noted that the above description of process 200 is only for illustration and explanation, and does not limit the scope of application of this specification. For those skilled in the art, various corrections and changes can be made to the process under the guidance of this specification. However, these corrections and changes are still within the scope of this specification.

[0089] Figure 3 It is an exemplary schematic diagram of determining the first restricted feature shown in some embodiments of this specification.

[0090] As shown Figure 3 In some embodiments, the processor is further configured to: determine a load model 321 based on the load data 311 of the carriage; perform a simulation based on the load model 321 and the corrected carriage model 322 to determine the force data 330 of the dressing component; and determine a first limited feature 390 based on the force data 330 of the dressing component.

[0091] The load data 311 refers to information related to the goods loaded in the carriage. For example, the load data 311 includes the maximum weight of the goods to be loaded in the carriage, the size and type of the loaded goods, etc.

[0092] In some embodiments, the processor may determine the load data 311 based on the acquired user input.

[0093] The load model 321 refers to a simulation model of the loaded goods. For example, the load model 321 includes simulation models of bulk goods, packaged goods, etc.

[0094] The simulation model of bulk goods can reflect the characteristics of bulk goods of different sizes; the simulation model of packaged goods can reflect the characteristics of different packaging methods. For example, packaged goods include packaging methods such as boxed and bagged, as well as different packaging specifications of different sizes.

[0095] In some embodiments, the processor may determine the load model 321 based on the load data 311 through three-dimensional modeling tools or platforms.

[0096] In some embodiments, the processor may apply the load model 321 to the corrected carriage model 322 and simulate the actual loading situation of the carriage after dressing.

[0097] In some embodiments, the processor may pre-construct the motion equation of the load model 321 through theories such as prior mechanics and kinematics, and calculate and obtain the attributes of the load model 321 based on the motion equation. For example, the attributes of the load model 321 may include attributes such as the weight of the goods loaded in the carriage, the force law, and the force motion law.

[0098] The force data 330 refers to relevant data on the forces received by each component of the carriage when carrying the load. For example, the force data 330 includes data such as stress and strain received by each component of the carriage when carrying the load.

[0099] In some embodiments, the processor may determine the force data 330 in various ways. For example, after the load model 321 is applied to the calibrated carriage model 322 for simulation, the processor calculates the force conditions of each carriage component when carrying goods through the motion equations constructed based on the theories of mechanics and kinematics, combined with the attributes of the load model 321, and records the force data 330 of each component, so as to evaluate the mechanical performance of each component under actual load conditions.

[0100] In some embodiments, the simulation includes a driving simulation, and the driving simulation includes obtaining the driving attitude information 323 of the vehicle; determining the force data 330 further includes determining the force data 330 of multiple conversion components based on the driving attitude information 323 and the load data 311.

[0101] The driving simulation refers to simulating the force state of the carriage components during driving.

[0102] The driving attitude information 323 refers to the relevant information about the carriage attitude during the driving of the vehicle. For example, the driving attitude information 323 may include attitude information such as the pitch, roll, and steering angle of the carriage during the vehicle starting, straight driving, turning driving, and driving at different speeds on roads with different flatness.

[0103] In some embodiments, the sampling sensor may be configured to collect the driving attitude information 323 when simulating different road conditions and driving conditions.

[0104] In some embodiments, after the load model 321 is applied to the calibrated carriage model 322, the processor may perform a driving simulation according to various driving attitude information 323 and record the force data 330 of each carriage component during the whole process of the driving simulation.

[0105] In some embodiments of the present specification, by recording the force data of the whole process in the driving simulation, it can be identified which components may be stressed beyond their design limits, thereby discovering potential weak links in the carriage components and ensuring the structural stability and durability of the carriage under various driving postures.

[0106] In some embodiments, the processor may determine whether the force data 330 of the conversion component exceeds its maximum strength design value; in response to yes, a newly generated first restricted feature 390 is determined based on the conversion component. Among them, the maximum strength design value can be pre-constructed based on historical data or prior knowledge.

[0107] In some embodiments, the restricted type of the newly generated first restricted feature 390 described above is strength restriction. Since the restricted types of rotation and movement are relatively intuitive, users can directly learn them by observing the attitude information of the carriage model in the driving simulation model. However, the strength restriction type is more concealed and cannot be determined by simple observation. Therefore, the processor can determine the new first restricted feature 390 based on the force data 330 of multiple dressing components.

[0108] In some embodiments, the processor is further configured to determine a force data sequence 341 based on the force data 330 of the dressing components; predict future deformation data 370 based on the force data sequence 341; determine a reliability value 380 of the dressing components based on the future deformation data 370; and determine the first restricted feature 390 based on the reliability value 380 and the future deformation data 370.

[0109] The force data sequence 341 refers to a sequence composed of the force data of multiple dressing components during the entire simulation process. In some embodiments, the force data sequence 341 can be represented by arranging the force data 330 of each component recorded in the simulation in chronological order. For example, the force data sequence of dressing component a can be (σ 1 , σ 2 , σ 3 ), and the elements in the sequence represent the stress σ 1 MPa of dressing component a at the first time point, the stress σ 2 MPa at the second time point, and the stress σ 3 MPa at the third time point, respectively.

[0110] The future deformation data 370 refers to the deformation data that the carriage components may undergo in the future time period.

[0111] In some embodiments, the processor can predict the future deformation data 370 in various ways. For example, the processor can calculate the future deformation data 370 of each component in the future time period based on the force data sequence 341 according to the prior material mechanics principle.

[0112] In some embodiments, the processor can determine the length of the future time period in a manner that the design service life of the vehicle is positively correlated with the length of the future time period.

[0113] Exemplarily, given a stress sequence of a support rod, the processor can obtain the strain sequence corresponding to each time point according to Hooke's law and the simulation process, and further convert the strain into a deformation amount. Then, the deformation amounts at each time point are accumulated to obtain the predicted future deformation data 370, that is, the cumulative deformation of the support rod in the future time period.

[0114] In some embodiments, based on the force data sequence 341, predicting future deformation data includes constructing a force analysis map 350 based on the force data sequence 341 and the carriage structure data 342; predicting future deformation data 370 through a deformation model 360 based on the force analysis map 350, where the deformation model 360 is a machine learning model.

[0115] The force analysis map 350 refers to a map used to reflect the force conditions between various components of the carriage, which consists of nodes and edges. The nodes of the force analysis map 350 include dressing component nodes corresponding to the dressing components in the carriage and fixed component nodes corresponding to the fixed components.

[0116] The node features may include size data, material data, force data sequence, etc. of the corresponding components.

[0117] Multiple nodes can be connected by edges, and the attributes of the edges can reflect the relationship between two component nodes. When there is a connection relationship between two nodes, they are connected based on the edge.

[0118] In some embodiments, the attributes of the edges may include the relative position relationship, cooperation mode, mutual movement freedom, etc. between two components. The attributes of the edges can be characterized based on a pre-constructed spatial coordinate system. For example, the mutual movement freedom may include the maximum amplitude and movement direction of the relative movement between two components.

[0119] The deformation model 360 refers to a model used to predict future deformation data 370. In some embodiments, the deformation model 360 can be a machine learning model, such as a graph neural network model, etc.

[0120] In some embodiments, the input of the deformation model may include the force analysis map 350 and the length of the future time period (not shown in the figure), and the output of the deformation model can be the future deformation data 370 of each node output based on the nodes. For the length of the future time period, reference can be made to Figure 3 the above relevant description.

[0121] In some embodiments, the processor can train the deformation model through methods such as gradient descent based on a large number of first training samples with a first label. The first training samples may include the sample force analysis map of the sample vehicle and the length of the sample future time period, and the first label of the first training samples can be the deformation data collected during the actual dressing process of the carriage of the sample vehicle.

[0122] In some embodiments, the processor can conduct multiple dressing tests based on multiple sample vehicles and collect relevant data to construct the first training samples. At the same time, during the dressing tests, the actual deformation data of each component at each time point is used as the label.

[0123] In some embodiments, the processor may input multiple tagged first training samples into the initial deformation model, construct a loss function based on the tags and the output results of the initial deformation model, and iteratively update the parameters of the initial deformation model based on the loss function through gradient descent or other methods. When a preset condition is met, the model training is completed, and a trained deformation model is obtained. Among them, the preset condition may be that the loss function converges, the number of iterations reaches a threshold, etc.

[0124] In some embodiments of this specification, by constructing a force analysis atlas, the connection relationship between carriage components can be intuitively represented in the form of nodes and edges, and the complex interaction relationship of the carriage during future force application and deformation can be described more comprehensively and accurately; by using the trained deformation model, the mutual influence between components can be comprehensively considered, so as to achieve a more accurate and comprehensive future deformation prediction.

[0125] The reliability value 380 of the deformation component is the value indicating whether the deformation component can remain within an acceptable deformation range under the future deformation data 370.

[0126] In some embodiments, the processor may obtain the reliability value 380 based on the difference between the preset allowable deformation data of the deformation component and the future deformation data 370. The greater the difference, the higher the reliability value. By way of example only, reliability value = preset allowable deformation data of the deformation component - future deformation data of the deformation component. Among them, the processor may determine the preset allowable deformation data of the deformation component based on the acquired user input.

[0127] In some embodiments, if the reliability value 380 is negative, it means that the predicted future deformation data 370 exceeds the allowable deformation data set by the user, and the component cannot maintain its structural stability under the future deformation data 370, and there is a strength limitation; then the processor may determine a new first limited feature 390 based on this deformation component. Among them, the degree of limitation in the first limited feature may be expressed as the exceeding ratio of the future deformation data 370 to the allowable deformation data.

[0128] In some embodiments of this specification, by predicting future deformation data through the force data sequence and further determining the reliability value, the force changes of the component at different time periods can be evaluated, so as to more accurately judge the reliability of the component, discover components with insufficient reliability in advance, and ensure the reliability and safety of the carriage during long-term use.

[0129] In some embodiments of this specification, by considering the load data, the working state of the carriage during actual use can be better simulated and trained, and the influence of the load on the strength of the carriage components is revealed, so that the deformation component can still maintain stability when carrying goods, avoiding excessive deformation caused by the load, thereby ensuring that the carriage design is safer and more reliable during actual use and improving the safety of the carriage.

[0130] Figure 4 It is a schematic flowchart of an exemplary process 400 for determining improvement parameters as shown in some embodiments of this specification. In some embodiments, the process 400 is executed by a processor.

[0131] In some embodiments, the processor is further configured to: in response to the first restricted feature not meeting a preset condition, determine a second transformation parameter based on the first transformation parameter; perform a simulation based on the second transformation parameter to determine a second restricted feature; perform at least one round of iteration on the second transformation parameter based on the second restricted feature to determine a target transformation parameter; and determine an improvement parameter based on the target transformation parameter.

[0132] Step 410, in response to the first restricted feature not meeting a preset condition, determine a second transformation parameter based on the first transformation parameter.

[0133] The preset condition may be that the degree of restriction in the first restricted feature exceeds a preset restriction threshold.

[0134] In some embodiments, the user can, based on transformation requirements, pre-enter the maximum allowable change data for each component through an input device; the processor then calculates the maximum degree of restriction that the component can withstand based on the input maximum change data in combination with principles of material mechanics, etc., and uses it as the preset restriction threshold for the component. Among them, the maximum change data may include the position range where the transformation component can be modified, the material properties that can be replaced, the material size that can be increased, etc., that the user can accept.

[0135] The second transformation parameter refers to the improved first transformation parameter.

[0136] In some embodiments, in response to the first restricted feature not meeting a preset condition, the processor updates the first transformation parameter within the maximum change data based on the first transformation parameter to obtain the second transformation parameter. For example, the movement order of the first transformation parameter of each component can be changed to avoid restrictions in aspects such as some rotation angles and moving distances.

[0137] Step 420, perform a simulation based on the second transformation parameter to determine a second restricted feature.

[0138] The second restricted feature refers to the restricted feature determined based on the second transformation parameter.

[0139] In some embodiments, the processor may control the corrected carriage model to perform a simulation based on the second dressing parameter. If dressing is restricted, the processor may record the restricted features corresponding to the dressing components that cause the dressing restriction as the second restricted features, skip the dressing simulation of these components, and at the same time restore these components to their undeformed initial states, and continue the dressing simulation of the remaining components until the dressing is completed, so as to obtain all the second restricted features.

[0140] In some embodiments, if there is a dependency relationship between the front dressing component and the rear dressing component, and the front dressing component is restricted during the simulation based on the second dressing parameter, the method for determining the second restricted features is similar to that described above and will not be elaborated here. For more details, reference can be made to Figure 2 the way of determining the first restricted features in

[0141] Step 430: Based on the second restricted features, perform at least one round of iteration on the second dressing parameter to determine the target dressing parameter.

[0142] The target dressing parameter refers to the dressing parameter obtained after iterative optimization.

[0143] In some embodiments, the processor can determine the target dressing parameter in various ways. For example, the processor can randomly generate a second dressing parameter based on the first dressing parameter; and perform a simulation on the carriage model based on the generated second dressing parameter, and according to the simulation result, determine whether there are second restricted features; if there are no second restricted features and the preset conditions are met, stop the iterative process and use this second dressing parameter as the target dressing parameter; if there are second restricted features and the preset conditions are not met, generate a second dressing parameter again and perform the next round of iteration.

[0144] In some embodiments, performing at least one round of iteration on the second dressing parameter based on the second restricted features includes: comparing the initial features of the current round of iteration with the initial features of the previous round of iteration to determine the feature change information; determining the update parameter based on the feature change information and its associated sub-parameters; performing a simulation based on the update parameter to determine the updated features; in response to not meeting the iteration completion condition, determining the iteration parameter and iteration features based on the updated features and update parameters, and using the iteration features and iteration parameters as the initial features of the next round of iteration and the associated sub-parameters of the initial features to perform the next round of iteration; in response to meeting the iteration completion condition, using the update parameter of the current round of iteration as the target dressing parameter.

[0145] The initial features refer to the second restricted features that are not updated in a round of iteration and can be determined based on the iteration features output in the previous round of iteration. The initial features of the first round of iteration can be determined based on the second restricted features determined above.

[0146] The feature change information refers to the change information of the restricted features during the current iteration process. For example, the feature change information may include the improvement or deterioration of the restricted situation during the current iteration process. Among them, the improvement of the restricted situation may include the reduction of restricted components, the reduction of the restricted degree, etc.

[0147] In some embodiments, the processor can determine the feature change information by comparing the changes in the initial features in the current iteration with the initial features in the previous iteration.

[0148] The associated sub-parameters of the feature change information refer to the sub-parameters in the second dressing parameter in the current iteration that cause changes in the restricted features. For example, the sub-parameters may include the rotation speed, rotation torque, rotation angle, etc. of each component in the second dressing parameter of the current iteration.

[0149] In some embodiments, the associated sub-parameters of the feature change information in the first iteration are determined based on the unupdated second dressing parameter, and the associated sub-parameters in each subsequent iteration are determined based on the iteration parameters of the previous iteration.

[0150] In some embodiments, the determination of the associated sub-parameters of the feature change information further includes: statistically analyzing the force change information of the force data when different sub-parameters are executed in the simulation; and determining the associated sub-parameters based on the force change information.

[0151] The force change information refers to the information of the change in the force data of the dressing components. In some embodiments, during the simulation, the processor can record the force data of each dressing component under different sub-parameters, and by comparing the force data before and after, mark the components with changed forces and the changes in the force data.

[0152] In some embodiments, the processor can use the sub-parameters corresponding to the components with changed forces as the associated sub-parameters corresponding to these components.

[0153] In some embodiments, if the component with changed force is a restricted feature, the sub-parameter that causes the force change can be used as the associated sub-parameter of the restricted feature. For example, due to the rotation parameter of component A (e.g., rotating 45°), the force on component B increases, resulting in its restricted degree exceeding the preset restricted threshold. Then, based on component B, the second restricted feature can be determined, and the rotation parameter of component A is regarded as the associated sub-parameter that causes the feature change of component B, and the feature change information corresponding to this feature change is the deterioration of the restricted situation.

[0154] In some embodiments of this specification, by statistically analyzing the force change information, the processor can identify the significant force change information of each carriage component and the corresponding restricted situation when certain dressing sub-parameters are executed. The processor can optimize the sub-parameters associated with the restricted features accordingly to reduce or avoid the restriction of the components.

[0155] The updated parameter refers to the second dressing parameter after being updated in the current iteration.

[0156] In some embodiments, the processor may determine the updated parameter based on the feature change information and its associated sub-parameters. For example, if the feature change information obtained in the previous iteration is an improvement in the restricted situation, the updated parameter in the current iteration may be the associated sub-parameter determined by further adjusting, based on the retained or adjusted direction and amplitude along the associated sub-parameter of the previous iteration (e.g., following the adjustment direction of parameters such as the rotation sequence and rotation speed of components), and then the determined second dressing parameter.

[0157] In some embodiments, if the feature change information obtained in the previous iteration is a deterioration in the restricted situation, the updated parameter in the current iteration may be the associated sub-parameter determined by restoring the associated sub-parameter of the previous iteration to the state before the update or making a reverse adjustment to the corresponding associated sub-parameter, and then determining the second dressing parameter. When necessary, other sub-parameters in the second dressing parameter may be adjusted simultaneously to reduce the deterioration situation.

[0158] The updated feature refers to the restricted feature determined during the simulation based on the updated parameter in the current iteration.

[0159] In some embodiments, the processor may use the updated parameter to perform a simulation. If there are still restricted features in the simulation under the updated parameter, they are used as the updated features.

[0160] In some embodiments, the processor may determine whether the iteration completion condition is met based on the updated feature or the iteration round. In response to the iteration completion condition not being met, based on the updated feature and the updated parameter, the iteration parameter and the iteration feature are determined, and the iteration feature and the iteration parameter are used as the initial feature of the next iteration and the associated sub-parameters of the initial feature to perform the next iteration.

[0161] The iteration completion condition may include that the updated feature converges or the iteration round meets a preset number of times, etc. Among them, the convergence of the updated feature may be that the number of rounds in which the change of the updated feature between two adjacent rounds is less than the preset change threshold exceeds the preset round threshold or the updated feature is 0 (i.e., there are no longer restricted features).

[0162] In some embodiments, in response to the iteration completion condition being met, the processor may use the updated parameter of the current iteration as the target dressing parameter.

[0163] In some embodiments of this specification, through multiple rounds of iteration, the second dressing parameter is continuously optimized, the convergence speed of the second restricted feature is accelerated, and thus the iteration efficiency is improved; by determining the associated sub-parameters, unnecessary adjustments to irrelevant parameters are avoided, and thus the optimization efficiency and reliability of the entire iteration process are improved.

[0164] Step 440: Determine improvement parameters based on the target transformation parameters.

[0165] In some embodiments, the processor may determine corresponding improvement parameters based on the restricted features corresponding to the target transformation parameters. This method is the same as the method of determining improvement parameters based on the first restricted feature. For details on how to determine the improvement parameters, reference can be made to Figure 2 and its related descriptions.

[0166] In some embodiments of this specification, when the first restricted feature of the carriage assembly is greater than the preset restricted threshold, the restriction of the assembly exceeds the designed safety range and cannot meet the reliability requirements. By generating the second transformation parameters and continuously iterating, the processor can finally find a set of target transformation parameters that can completely solve the restriction problem and meet the preset conditions, enabling the carriage assembly to have stronger adaptability during actual driving operation.

[0167] One or more embodiments of this specification provide a passenger flow guiding device, including a processing device, and the processing device is used to execute the multi-functional transformation method for an automobile carriage.

[0168] Some embodiments of this specification also provide a computer-readable storage medium, and the storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the method described in any one of the above embodiments.

[0169] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only an example and does not constitute a limitation to this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements, and corrections to this specification. Such modifications, improvements, and corrections are proposed in this specification, so such modifications, improvements, and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0170] At the same time, this specification uses specific terms to describe the embodiments of this specification. Such as "one embodiment", "an embodiment", and / or "some embodiments" mean a certain feature, structure, or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "an embodiment" or "one embodiment" or "an alternative embodiment" mentioned twice or more at different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures, or characteristics in one or more embodiments of this specification can be appropriately combined.

[0171] In addition, unless clearly stated in the claims, the order of the processing elements and sequences, the use of numerical and alphabetical characters, or the use of other names described in this specification are not used to limit the order of the processes and methods in this specification. Although some currently useful embodiments of the invention are discussed through various examples in the above disclosure, it should be understood that such details are only for illustrative purposes. The appended claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that conform to the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only through software solutions, such as installing the described system on existing servers or mobile devices.

[0172] Similarly, it should be noted that, in order to simplify the presentation of the disclosure in this specification and thus help the understanding of one or more embodiments of the invention, in the foregoing description of the embodiments of this specification, sometimes multiple features are merged into one embodiment, drawing, or description thereof. However, this method of disclosure does not mean that the features required by the subject matter of this specification are more than those mentioned in the claims. In fact, the features of the embodiments are fewer than all the features of the individual embodiments disclosed above.

[0173] In some embodiments, numbers are used to describe the components and the quantity of attributes. It should be understood that such numbers used to describe the embodiments are modified by the modifiers "about", "approximately", or "substantially" in some examples. Unless otherwise stated, "about", "approximately", or "substantially" indicate that the stated number allows a variation of ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, and such approximate values may change according to the characteristics required by individual embodiments. In some embodiments, the numerical parameters should consider the specified significant digits and adopt the method of retaining the general number of digits. Although the numerical ranges and parameters used in some embodiments of this specification to confirm the breadth of their scope are approximate values, in specific embodiments, such numerical settings are as precise as possible within the feasible range.

[0174] For each patent, patent application, patent application publication, and other materials cited in this specification, such as articles, books, specifications, publications, documents, etc., their entire contents are hereby incorporated into this specification by reference. Except for the application history documents that are inconsistent with or conflict with the content of this specification, and except for the documents that limit the broadest scope of the claims of this specification (currently or subsequently appended to this specification). It should be noted that if there are any inconsistencies or conflicts between the descriptions, definitions, and / or uses of terms in the supplementary materials of this specification and the content described in this specification, the descriptions, definitions, and / or uses of terms in this specification shall prevail.

[0175] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, by way of example and not limitation, alternative configurations of the embodiments of this specification may be regarded as consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly presented and described in this specification.

Claims

1. A multifunctional vehicle compartment transformation system, characterized in that: The system includes an input device, a sampling sensor, a display device and a processor; The input device is configured to obtain vehicle compartment structure data; The sampling sensor is configured to collect the carriage change data; The processor is configured to: Determining a vehicle compartment model based on the vehicle compartment structure data; Based on the transformation data, the carriage model is corrected; Based on the first transformation parameter, controlling the corrected vehicle compartment model to perform simulation to determine a first restricted feature; determining an improvement parameter based on the first restricted feature; sending the improved parameter and the first restricted feature to the display device; The display device is configured to display the improvement parameter and the first restricted feature.

2. The system according to claim 1, characterized in that The processor is further configured to: Determining a load model based on the load data of the carriage; Perform the simulation based on the load model and the corrected carriage model to determine the force data of the variable-fitting component; The first restricted feature is determined based on the force data of the transformation component.

3. The system according to claim 2, characterized in that The processor is further configured to: Determining a force data sequence based on the force data of the cross-dressing component; Based on the force data sequence, predicting future deformation data; Determining a reliable value of a transformation component based on the future deformation data; The first restricted feature is determined based on the reliable value and the future deformation data.

4. The system according to claim 1, characterized in that The processor is further configured to: In response to the first restricted feature not satisfying a preset condition, determining a second cross-dressing parameter based on the first cross-dressing parameter; Perform the simulation based on the second dressing parameter to determine a second restricted feature; The second cross-dressing parameter is iterated for at least one round based on the second restricted feature to determine a target cross-dressing parameter. Based on the target dressing parameter, the improvement parameter is determined.

5. The system according to claim 1, characterized in that The carriage structure data includes at least one of dimension data, material data and matching data of carriage components, and the carriage components include variable-fitting components and fixed components; The fixed component includes a chassis component; the transformable component includes a cockpit component, a functional cabin, and a cold connection component; the fixed component and the functional cabin are provided with one or more groups of matching positions with corresponding positions and matching shapes; the functional cabins of different types are configured to be connected to the fixed component respectively through the cold connection component based on the matching positions.

6. The system according to claim 5, characterized in that The types of the functional cabins include at least one of a passenger cabin, a cargo cabin, and a commodity operation cabin.

7. The system according to claim 5, characterized in that The connection methods corresponding to the cold connection components include one or more of self-piercing riveting, flow drill screw connection, adhesive connection, crimping connection, piece-locking connection, crimping and screw connection; different cold connection components are used in different matching positions.

8. A method for multifunctional transformation of a vehicle compartment, characterized in that: The method is executed by a processor of a multifunctional vehicle compartment changing system; The multifunctional vehicle compartment transformation system comprises an input device, a sampling sensor, a display device and the processor; the input device is configured to obtain vehicle compartment structure data; The sampling sensor is configured to collect the carriage change data; The display device is configured to display the improvement parameter and the first restricted characteristic; The method comprises: Determining a vehicle compartment model based on the vehicle compartment structure data; Based on the transformation data, the carriage model is corrected; Based on the first transformation parameter, controlling the corrected vehicle compartment model to perform simulation to determine the first restricted feature; determining the improvement parameter based on the first restricted feature; The improvement parameter and the first restricted characteristic are sent to the display device.

9. A multifunctional vehicle compartment changing device, characterized in that: The apparatus comprises at least one processor and at least one memory; The at least one memory is used to store computer instructions; The at least one processor is used to execute at least part of the computer instructions to implement the automobile body assembly analysis method according to any one of claims 5 to 8.

10. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the method according to any one of claims 5 to 8.

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