A method, system, electronic equipment, and medium for controlling a vehicle intelligent container showroom.

Abstract

A control method, system, electronic device, and medium for an intelligent vehicle container showroom are disclosed, relating to the field of automation control technology. The method includes: acquiring the folding state information of the container showroom and vehicle loading information; determining the display space dimensions based on the side wall unfolding angle and unfolding position in the folding state information, and calculating the load-bearing capacity distribution based on the vehicle weight and vehicle position in the vehicle loading information; generating display control parameters, including module height parameters and platform rotation parameters, by combining the display space dimensions and load-bearing capacity distribution; controlling a lifting mechanism to adjust the height of the container showroom, and controlling a rotating platform to rotate and display the vehicle; detecting a first error value of the current actual height value of the lifting mechanism and a second error value of the current actual angle value of the rotating platform, and correcting the container showroom based on the first and second error values. Implementing the technical solution provided in this application can dynamically adjust the container showroom and improve its display effect.

Description

Technical Field

[0001] This application relates to the field of automation control technology, specifically to a vehicle intelligent container showroom control method, system, electronic equipment, and medium. Background Technology

[0002] With the booming development of the automotive industry, the demand for vehicle display is increasing. Mobile showrooms, due to their flexibility and convenience, are widely used in the field of vehicle display. In particular, mobile showrooms converted from shipping containers are not only easy to transport but also can be deployed quickly, providing a new solution for vehicle display.

[0003] Currently, common container-type mobile showrooms are typically set up using a fixed display method, meaning the internal space layout of the showroom is relatively fixed. However, in practical applications, because the vehicles to be displayed in a container showroom vary, using only a fixed container showroom for vehicle display often lacks a holistic consideration of the display environment and makes it difficult to dynamically adjust the display based on the vehicles' condition, thus reducing the display effectiveness of the container showroom. Summary of the Invention

[0004] This application provides a vehicle intelligent container showroom control method, system, electronic device, and medium, which can dynamically adjust the container showroom and improve its display effect.

[0005] Firstly, this application provides a method for controlling an intelligent container showroom for vehicles, including:

[0006] The system acquires information on the folding status of the container showroom and the vehicle loading information. The container showroom includes a lifting mechanism and a rotatable display platform.

[0007] The display space size is determined based on the side wall unfolding angle and unfolding position in the folding state information, and the load-bearing capacity distribution is calculated based on the vehicle weight and vehicle position in the vehicle loading information.

[0008] Based on the dimensions of the display space and the load-bearing capacity distribution, display control parameters are generated, including module height parameters and platform rotation parameters.

[0009] The lifting mechanism is controlled to adjust the height of the container showroom according to the module height parameters, and the rotating platform is controlled to rotate and display the vehicles according to the platform rotation parameters.

[0010] The first error value between the current actual height value of the lifting mechanism and the module height parameter and the second error value between the current actual angle value of the rotating platform and the platform rotation parameter are detected, and the container exhibition hall is corrected based on the first error value and the second error value.

[0011] A second aspect of this application provides a vehicle intelligent container showroom control system, the system comprising:

[0012] The information acquisition module is used to acquire information on the folding status of the container exhibition hall and vehicle loading information. The container exhibition hall includes a lifting mechanism and a rotatable display platform.

[0013] The control parameter generation module is used to determine the display space size based on the side wall unfolding angle and unfolding position in the folding state information, and to calculate the load-bearing capacity distribution based on the vehicle weight and vehicle position in the vehicle loading information; and to generate display control parameters by combining the display space size and the load-bearing capacity distribution, the display control parameters including module height parameters and platform rotation parameters;

[0014] The container showroom control module is used to control the lifting mechanism to adjust the height of the container showroom according to the module height parameters, and to control the rotating platform to rotate and display the vehicle according to the platform rotation parameters;

[0015] The container exhibition hall calibration module is used to detect a first error value between the current actual height value of the lifting mechanism and the module height parameter, and a second error value between the current actual angle value of the rotating platform and the platform rotation parameter, and to calibrate the container exhibition hall based on the first error value and the second error value.

[0016] A third aspect of this application provides an electronic device including a memory, a processor, and a program stored in the memory and executable on the processor, the program being loaded and executed by the processor to implement a vehicle intelligent container showroom control method.

[0017] In a fourth aspect, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to implement a vehicle intelligent container showroom control method.

[0018] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages:

[0019] By adopting the above technical solution, the unfolded state of the container exhibition hall and the vehicle loading information can be obtained in real time, enabling real-time monitoring of the exhibition hall's unfolding status and vehicle loading. The exhibition space dimensions are determined based on the side wall unfolding angle and position from the folding status information, and the load-bearing capacity distribution is calculated by combining the vehicle weight and position from the vehicle loading information, thus achieving a comprehensive assessment of the exhibition environment. Furthermore, based on the exhibition space dimensions and load-bearing capacity distribution, exhibition control parameters, including module height parameters and platform rotation parameters, are generated, and the lifting mechanism and rotating platform are adjusted accordingly, achieving dynamic adjustment of the exhibition environment. Simultaneously, by detecting and correcting the error values ​​between the actual operating parameters of the lifting mechanism and rotating platform and the exhibition control parameters, the accuracy of exhibition control is ensured, thereby effectively improving the exhibition effect of the container exhibition hall. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating a vehicle intelligent container showroom control method provided in an embodiment of this application;

[0021] Figure 2 This is a schematic diagram of the structure of a vehicle intelligent container showroom control system provided in an embodiment of this application;

[0022] Figure 3 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0023] Explanation of reference numerals in the attached drawings: 300, electronic device; 301, processor; 302, communication bus; 303, user interface; 304, network interface; 305, memory. Detailed Implementation

[0024] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0025] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0026] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0027] This application provides a method for controlling an intelligent vehicle container showroom. In one embodiment, please refer to... Figure 1 , Figure 1 This is a flowchart illustrating the intelligent vehicle container showroom control method provided in this application embodiment. This method can be implemented using a computer program, which can be integrated into an application or run as a standalone utility application. The method can also be implemented using a microcontroller or run on a vehicle intelligent container showroom control system based on the von Neumann architecture. Specifically, the method may include the following steps:

[0028] Step 101: Obtain the folding status information and vehicle loading information of the container showroom, which includes a lifting mechanism and a rotatable display platform.

[0029] In this embodiment, the containerized exhibition hall refers to a mobile vehicle display space converted from a shipping container. Its main structure includes a floor, foldable side walls, a lifting mechanism, and a rotatable display platform. The side walls are hinged to the floor, allowing for unfolding and folding operations. The lifting mechanism includes a hydraulic cylinder and a drive motor, used to adjust the overall height of the exhibition hall. The display platform is mounted on the floor and can rotate 360 ​​degrees via the drive motor, used to support and display vehicles.

[0030] In this embodiment, the folding status information refers to information parameters reflecting the current state of the container exhibition hall's spatial structure, specifically including: the side wall unfolding angle and the unfolding position. The side wall unfolding angle is obtained in real-time by angle sensors installed on the side wall and is used to characterize the degree of inclination of the side wall relative to the base plate; the unfolding position is coordinate data obtained by position sensors installed at the connection between the side wall and the base plate, used to determine the specific position of the side wall in space.

[0031] In this embodiment of the application, vehicle loading information refers to physical parameters related to the displayed vehicle, mainly including: vehicle weight and vehicle position. The vehicle weight is the total vehicle weight data measured by weighing sensors installed on the display platform; the vehicle position refers to the spatial distribution of the vehicle on the display platform, including the contact coordinates of the front and rear axles of the vehicle chassis with the display platform, and this data is collected by position sensors on the platform.

[0032] Specifically, to achieve adaptive display control of the intelligent containerized vehicle showroom, it is first necessary to acquire the basic status information of the showroom. The showroom is equipped with multiple sensors, including angle sensors, position sensors, and weight sensors, which can collect real-time information on the showroom's folding status. Angle sensors are installed on the side walls of the showroom to collect the unfolded angle of the side walls; position sensors are installed at the connection between the side walls and the base plate to collect the unfolded position coordinates of the side walls. The data collected by these sensors accurately reflects the current spatial status of the showroom. Simultaneously, weighing sensors are installed on the display platform to collect vehicle loading information, including the total weight of the vehicle and its position on the platform. The display platform adopts a rotatable structure design, with a drive motor driving the entire platform to rotate 360 ​​degrees, thus achieving a 360-degree display of the vehicle. In addition, the showroom is equipped with a lifting mechanism, which includes hydraulic cylinders and a drive motor, allowing adjustment of the overall height of the showroom as needed. By acquiring this basic information, the control system can comprehensively grasp the working status of the showroom and the vehicle loading situation, providing data support for subsequent intelligent display control. This multi-sensor-based information acquisition method not only ensures the accuracy and real-time nature of the data, but also provides a reliable basis for optimizing the display effect, thereby improving the intelligence level of the entire display system.

[0033] Step 102: Determine the display space size based on the side wall unfolding angle and unfolding position in the folding status information, and calculate the load-bearing capacity distribution based on the vehicle weight and vehicle position in the vehicle loading information.

[0034] In this embodiment of the application, "space dimensions" refers to the effective space parameters within the container showroom that can be used for vehicle display. These parameters directly determine the actual size of the space available for vehicle display and are an important basis for subsequent display control.

[0035] In this embodiment of the application, the load-bearing capacity distribution refers to the distribution of the force state of the display platform when it carries a vehicle.

[0036] Specifically, to ensure the safety of the display process and optimize the display effect, precise calculation and analysis of the display space and load-bearing capacity are required. First, angle sensors collect the sidewall unfolding angles, and position sensors collect the unfolding positions, inputting this data into the control system. The control system establishes a three-dimensional coordinate system based on the unfolding positions and maps the sidewall unfolding angles into this system, obtaining the effective volume of the exhibition hall through spatial geometric calculations. After determining the effective volume, the system obtains the projected dimensions of this volume along each coordinate axis, thereby determining the length, width, and height parameters of the display space. Simultaneously, the system also needs to assess the load-bearing capacity of the display platform. To this end, the control system obtains the contact position coordinates between the front and rear axles of the vehicle chassis and the display platform, and calculates the corresponding load pressure values ​​for the front and rear axles based on the vehicle weight measured by weighing sensors and the weight distribution ratio between the front and rear axles. Based on these contact position coordinates and load pressure values, the system can determine the stress distribution of the display platform and obtain the overall load-bearing capacity distribution. Through precise spatial dimension calculations and mechanical analysis, the system ensures the effective utilization of exhibition space while guaranteeing structural safety during the exhibition process, providing reliable data support for the generation of subsequent exhibition control parameters. This dynamic analysis method based on real-time data not only improves space utilization efficiency but also enhances the safety of the exhibition process, laying the foundation for intelligent exhibitions.

[0037] Based on the above embodiments, as an optional embodiment, step 102, which involves determining the display space size based on the side wall unfolding angle and unfolding position in the folding state information, may further include the following steps:

[0038] Step 201: Obtain the sidewall unfolding angle collected by the angle sensor installed on the sidewall and the unfolding position collected by the position sensor.

[0039] Specifically, to accurately obtain the spatial status information of the container exhibition hall, step 201 is executed first. In this step, multiple angle sensors are evenly installed on the side walls of the container exhibition hall. These angle sensors are gyroscope-type sensors, which can detect the changes in the tilt angle of the side walls relative to the horizontal plane in real time. At the same time, position sensors, which are photoelectric encoder-type sensors, are installed at the hinge points between the side walls and the floor plate to detect the rotational position of the hinge shaft. The control system collects data from these sensors in real time via the CAN bus to obtain the unfolding angle and unfolding position data reflecting the spatial status of the side walls. This multi-point acquisition method not only improves the accuracy of the data but also enables real-time monitoring of side wall deformation.

[0040] Step 202: Establish a three-dimensional coordinate system based on the unfolded position, and map the unfolded angle of the sidewall to the three-dimensional coordinate system.

[0041] Specifically, the control system establishes a three-dimensional Cartesian coordinate system with the center of the container exhibition hall's floor as the origin. The X-axis runs along the length of the floor, the Y-axis along the width, and the Z-axis is perpendicular to the floor and pointing upwards. The system converts the unfolded position data collected by position sensors into spatial coordinate points within this coordinate system. These coordinate points reflect the spatial position of the sidewall hinge axis. Then, the system maps the sidewall unfolding angle values ​​collected by angle sensors onto these coordinate points, obtaining the sidewall's attitude in three-dimensional space through spatial geometric transformation. This coordinate transformation method allows the system to intuitively express the spatial state of the sidewall, providing a unified mathematical model for subsequent spatial calculations.

[0042] Step 203: Calculate the effective volume of the exhibition space in the container exhibition hall based on the angle distribution in the three-dimensional coordinate system; determine the size of the exhibition space in the container exhibition hall based on the effective volume.

[0043] Specifically, the system first calculates the volume of the space enclosed by the base plate and side walls using an integral method based on the angular distribution in a three-dimensional coordinate system. The system discretizes the side walls into several tiny units, each with its spatial position determined by its corresponding angle value. The total effective volume is obtained by superimposing the volumes of these units. After obtaining the effective volume, the system calculates the maximum projected distance of this volume on each coordinate axis of the three-dimensional coordinate system, thus obtaining the length, width, and height parameters of the display space. This spatial calculation method based on actual measurement data not only improves the accuracy of dimensional parameters but also dynamically reflects changes in the display space, providing a reliable spatial reference for subsequent display control.

[0044] Based on the above embodiments, as an optional embodiment, step 203, determining the exhibition space dimensions of the container exhibition hall according to the effective volume, may further include the following steps:

[0045] Step 213: Obtain the projected dimensions of the effective volume along the coordinate axes.

[0046] Specifically, to convert the calculated effective volume into usable display space parameters, the system first projects the effective volume in the established three-dimensional coordinate system onto various coordinate planes. Specifically, the system first projects onto the XOY plane to obtain the planar outline of the volume; then it projects onto the XOZ and YOZ planes respectively to obtain the two-dimensional outlines of the volume on these planes. The system extracts the boundaries of these projected outlines and obtains the projected dimensions of the volume in the X, Y, and Z axes by calculating the maximum distance between boundary points. This projection calculation method not only simplifies the process of obtaining spatial dimensions but also ensures the accuracy of the calculation results.

[0047] Step 223: Determine the length, width, and height of the exhibition space based on the projection dimensions, and use the length, width, and height as the exhibition space dimensions of the container exhibition hall.

[0048] Specifically, the system determines the length of the display space by the projected dimension along the X-axis, the width by the projected dimension along the Y-axis, and the height by the projected dimension along the Z-axis. To ensure display safety, the system reserves a certain safety margin based on the actual projected dimensions. Specifically, a preset safety distance (e.g., 100mm) is subtracted in each direction to obtain the final display space dimensions. These display space dimensions directly reflect the actual space available for vehicle display within the container showroom. The system stores this data in a control parameter database for subsequent display control and optimization. This method, based on projection calculations and considering safety margins, maximizes space utilization while ensuring the safety of the display process.

[0049] Based on the above embodiments, as an optional embodiment, step 102, which calculates the load-bearing capacity distribution based on the vehicle weight and vehicle position in the vehicle loading information, may further include the following steps:

[0050] Step 204: Obtain the contact position coordinates between the front and rear axles of the vehicle chassis and the display platform, corresponding to the vehicle loading information.

[0051] Specifically, to accurately obtain the load-bearing capacity distribution of the display platform, an array of 32 contact-type position sensors evenly distributed on the platform surface is used to detect the actual contact points between the vehicle chassis's front and rear axles and the platform. These position sensors employ a pressure contact design with a sensitivity of 0.1 MPa and a sampling frequency of 100 Hz. When a vehicle tire presses against a sensor, the position of the contact point can be precisely located. The system uses a triangulation algorithm to calculate the precise coordinates of the contact point based on the triggered sensor position, achieving a positioning accuracy of ±5 mm. The system converts the detected contact point positions into coordinate values ​​in a Cartesian coordinate system with the center of the display platform as the origin, with the front-to-back direction as the X-axis and the left-to-right direction as the Y-axis, and records these as contact position coordinates. This multi-point array direct measurement method not only ensures the accuracy of the contact position data but also allows for real-time monitoring of changes in the contact position.

[0052] Step 205: Calculate the load pressure values ​​corresponding to the front and rear axles of the chassis based on the vehicle weight and the weight distribution ratio of the front and rear axles of the chassis.

[0053] Specifically, the system first reads the total vehicle weight measured by the load cells, and simultaneously retrieves the front-to-rear axle weight distribution ratio for that vehicle model from a pre-stored vehicle parameter database (e.g., 40% front axle, 60% rear axle). Based on this ratio, the system distributes the total vehicle weight across the front and rear axles, calculating the actual load value for each axle. Then, considering the effect of gravitational acceleration, the load value is converted into a pressure value acting on the surface of the display platform, obtaining the corresponding load pressure values ​​for the front and rear axles of the chassis. This calculation method, based on measured weight and a standard distribution ratio, ensures data accuracy while simplifying the measurement process.

[0054] Step 206: Based on the contact position coordinates and load pressure values, determine the stress distribution state of the display platform and obtain the load-bearing capacity distribution.

[0055] Specifically, the system substitutes the contact position coordinates and corresponding load pressure values ​​into the stress analysis algorithm to calculate the stress distribution of the display platform. The system establishes a planar coordinate system with the geometric center of the display platform as the origin, dividing the platform surface into 100×100 grid cells, for example, each cell has an area of ​​approximately 4 cm². For each grid cell, the system considers the superposition effect of the front and rear axle loads and calculates the actual pressure value of the cell based on the stress transfer attenuation formula (stress decreases inversely with the square of the distance). The system performs numerical analysis on the pressure values ​​of all grid cells, generating load-bearing capacity distribution data for the display platform. This data includes the pressure values ​​and pressure gradient information at each point on the platform surface. Simultaneously, the system calculates the center position and eccentricity of the load-bearing capacity. When the eccentricity exceeds 30% of the platform radius, the system activates the load balance adjustment mechanism. This grid-based analysis method not only accurately reflects the load-bearing state of the display platform but also monitors the dynamic changes in load distribution in real time, providing reliable data support for optimizing display control parameters.

[0056] Step 103: Combine the dimensions of the exhibition space and the load-bearing capacity distribution to generate exhibition control parameters, including module height parameters and platform rotation parameters.

[0057] Among them, the display control parameters refer to the key technical parameters used to control the movement state of the display modules in the containerized exhibition hall, specifically including module height parameters and platform rotation parameters. The module height parameter is used to determine the vertical position height of the display module, which is achieved by controlling the extension and retraction of the hydraulic cylinder; the platform rotation parameters are used to determine the rotational motion characteristics of the display platform, including the range of rotatable angles, rotational speed, and acceleration and deceleration time.

[0058] Specifically, to optimize the use of the exhibition space and ensure the safety of the exhibition process, the control system needs to generate specific exhibition control parameters based on the acquired space and load data. The system first reads the length, width, and height parameters from the exhibition space dimensions, comparing the height parameter with a preset safe height range (e.g., 0.5 meters to 2 meters). If the current height is within the safe range, this value is directly used as the module height parameter; if it exceeds the safe range, the nearest value within the safe range is used as the module height parameter. This module height parameter controls the extension and retraction of the hydraulic cylinder, thereby adjusting the vertical height of the entire exhibition module. Simultaneously, the system calculates the safe rotation range of the exhibition platform based on the load pressure values ​​and their distribution locations in the load distribution data. Specifically, the system divides the 360-degree rotation range of the exhibition platform into several equal intervals (e.g., every 30 degrees), calculating the force state of the platform at each interval. When the maximum load pressure value within a certain interval is less than a preset safety threshold (e.g., 80% of the platform's rated load capacity), that interval is marked as a usable rotation interval. The system selects the maximum continuously available range as the rotation angle range in the platform rotation parameters, and sets the corresponding rotation speed (e.g., the higher the load pressure, the lower the rotation speed) and acceleration / deceleration time (e.g., 3-5 seconds) according to the load pressure value. This direct calculation method based on actual data can quickly generate safe and reliable display control parameters, ensuring the smooth operation of the display process. These control parameters will be used for the specific execution control of subsequent display modules, realizing intelligent adjustment of the display process.

[0059] Based on the above embodiments, as an optional embodiment, in step 103: combining the display space dimensions and load-bearing capacity distribution, display control parameters are generated. The display control parameters include module height parameters and platform rotation parameters. This step may also include the following steps:

[0060] Step 301: Obtain multiple preset display scene templates, each display scene template corresponding to a set of height parameters and rotation parameters.

[0061] Specifically, to determine the optimal display control parameters, pre-set display scene templates are first retrieved from the database. These templates may include multiple sets of scene templates such as "Dynamic Panoramic Display," "Static Key Display," and "3D Surround Display." Each display scene template contains preset combinations of height and rotation parameters. For example, the "Dynamic Panoramic Display" template can set the height parameter to 120% of the booth's base height and the rotation parameter to 360-degree continuous rotation at a speed of 6 rpm; the "Static Key Display" template can set the height parameter to 150% of the booth's base height and the rotation parameter to reciprocating rotation within a range of ±45 degrees at a speed of 3 rpm; the "3D Surround Display" template can contain multiple combinations of height and rotation angle values. These template parameters are pre-set based on a comprehensive consideration of display effect and safety.

[0062] Step 302: Calculate the matching degree with each display scene template based on the display space size and load-bearing capacity distribution.

[0063] Specifically, the system constructs a multi-dimensional matching degree calculation model, using display space dimensions and load-bearing capacity distribution as input parameters. For display space dimensions, the system calculates the degree of matching between the minimum required space dimensions for each template and the actual display space dimensions. For load-bearing capacity distribution, the system analyzes the stress state of the platform at different rotation angles and calculates whether the safety margin requirements are met. The system can employ a weighted scoring method; for example, the weight for space dimension matching degree can be set to 0.4, and the weight for load-bearing capacity distribution matching degree can be set to 0.6, calculating a comprehensive matching degree score for each set of templates. The matching degree calculation also considers factors such as vehicle type and display purpose, quantifying each dimension through preset scoring rules.

[0064] Step 303: Select the target display scene template with the highest matching degree, set the height parameter corresponding to the target display scene template as the target module height parameter, and set the rotation parameter corresponding to the target display scene template as the platform rotation parameter.

[0065] Specifically, the system sorts the calculated template matching scores and selects the template with the highest score as the target display scene template. For example, if the "3D Surround Display" template receives the highest matching score, the system sets its corresponding height parameter (e.g., 130% of the booth's base height) as the target module height parameter, and its rotation parameter (e.g., segmented rotation, 45 degrees per segment, with a 3-second pause) as the platform rotation parameter. The system automatically optimizes these parameters to ensure they remain within safe threshold ranges. This template-matching-based parameter selection method optimizes the display effect while ensuring operational safety and reliability. The selected parameters are used for subsequent display control, and the system further fine-tunes them during the display process based on real-time monitoring data to adapt to potential state changes.

[0066] Step 104: Control the lifting mechanism to adjust the height of the container showroom according to the module height parameters, and control the rotating platform to rotate and display the vehicles according to the platform rotation parameters.

[0067] Specifically, to achieve height adjustment of the display space and omnidirectional vehicle display, the control system executes corresponding control actions based on generated display control parameters. First, the system sends a height adjustment command to the lifting mechanism, which employs a four-group synchronous hydraulic cylinder structure. For example, each hydraulic cylinder has a rated load capacity of 2000 kg, a stroke range of 0-2000 mm, and a displacement accuracy of ±2 mm. The system converts the module height parameters into hydraulic cylinder stroke values ​​and controls the flow and pressure of hydraulic oil through proportional servo valves to achieve precise extension and retraction of the hydraulic cylinders. During adjustment, the system uses a closed-loop PID control algorithm, using displacement sensors (e.g., with a resolution of 0.1 mm) installed on the hydraulic cylinders to provide real-time height feedback, ensuring synchronized action of the four hydraulic cylinders and preventing tilting during lifting. The system can set the hydraulic cylinder's movement speed to 20 mm / s and the acceleration / deceleration time to 2 seconds to ensure smooth adjustment. When the deviation between the actual height and the target height is detected to be less than a preset threshold (e.g., 1 mm), the height adjustment is completed. Simultaneously, the system initiates the display program for the rotating platform, which is driven by a servo motor, for example, with a rated power of 5 kW and a maximum speed of 60 rpm. The system sets the motor's motion curve based on the platform's rotation parameters, including rotation range, speed, and acceleration / deceleration characteristics. Specifically, different rotation speeds can be set according to the load pressure value. For example, when the load pressure is less than 1 MPa, the platform rotation speed can be set to 8 rpm; when the load pressure is in the range of 1-1.3 MPa, it can be reduced to 5 rpm; and when the load pressure exceeds 1.3 MPa, it can be further reduced to 3 rpm. The system monitors the rotation angle in real time using an encoder (e.g., with a resolution of 0.01 degrees) and employs a PI control algorithm to maintain the stability of the rotation speed. The acceleration / deceleration time can be set to 3 seconds to ensure a smooth rotation process. Simultaneously, the system monitors the motor's output torque using a torque sensor. When the detected torque exceeds a preset percentage (e.g., 80%) of the rated value, it automatically reduces the speed or stops rotation. This display method based on precise control ensures both the safety and stability of the display process while achieving the best vehicle display effect. During the display, the system continuously monitors the data from various sensors, and immediately triggers a safety protection mechanism when an anomaly occurs, ensuring the reliability of the display process.

[0068] Based on the above embodiments, as an optional embodiment, in step 104: controlling the lifting mechanism to adjust the height of the container showroom according to the module height parameters, and controlling the rotating platform to rotate and display the vehicle according to the platform rotation parameters, this step may further include the following steps:

[0069] Step 401: Collect the reference height value of the lifting mechanism and the reference angle value of the rotating platform.

[0070] Specifically, to achieve precise control of the display device, the current reference height value is first acquired by a displacement sensor installed on the lifting mechanism. This displacement sensor can be a magnetic scale design, with a measuring range of 0-3000mm and a resolution of 0.01mm. Simultaneously, the system acquires the current reference angle value through an angle encoder installed on the rotating platform. This angle encoder can be a multi-turn absolute encoder, with a resolution of 0.01 degrees. The system filters the acquired sensor data, for example, using a Kalman filter algorithm to eliminate measurement noise and improve data reliability. Furthermore, the system performs regular sensor calibration to ensure measurement accuracy.

[0071] Step 402: Convert the difference between the reference height value and the module height parameter into a lifting control signal, and convert the difference between the reference angle value and the platform rotation parameter into a rotation control signal.

[0072] Specifically, the system calculates the difference between the target module's height parameter and the reference height value, and converts this difference into a lifting control signal using a PID control algorithm. For example, the proportional coefficient Kp can be set to 0.8, the integral coefficient Ki to 0.2, and the derivative coefficient Kd to 0.1, ensuring the stability of the adjustment process through closed-loop control. Similarly, the system calculates the difference between the platform's rotation parameter and the reference angle value, and uses a similar PID control algorithm to convert the difference into a rotation control signal. During the generation of the control signal, the system considers the dynamic characteristics of the mechanism; for example, acceleration and speed limits can be set to ensure smooth movement. The system also dynamically adjusts the control parameters according to the load conditions, for example, appropriately reducing the response speed when the load is large.

[0073] Step 403: Adjust the height of the lifting mechanism's drive motor according to the lifting control signal, and rotate the angle of the rotating platform's drive motor according to the rotation control signal.

[0074] Specifically, the system sends the generated lifting control signal to the drive motor of the lifting mechanism. This drive motor can be a servo motor, for example, with a rated power of 2kW and a rated speed of 1500rpm. The system controls the motor's speed and direction through a servo driver, achieving precise displacement of the lifting mechanism. Simultaneously, the system sends a rotation control signal to the drive motor of the rotating platform. This drive motor also uses a servo motor design, for example, with a rated torque of 100N·m. During control, the system monitors the motor's operating status in real time, including parameters such as current, speed, and position. When an anomaly is detected, a protection mechanism is immediately triggered. Furthermore, the system is equipped with soft and hard limit protections to ensure that the mechanism's movement does not exceed safe limits. This precise control method based on closed-loop feedback not only ensures the accuracy and stability of the display device's movement but also improves the system's reliability and safety. In actual operation, the system continuously monitors the control effect and fine-tunes parameters as needed to achieve the best display effect.

[0075] Step 105: Detect the first error value between the current actual height value of the lifting mechanism and the module height parameter, and the second error value between the current actual angle value of the rotating platform and the platform rotation parameter, and correct the container exhibition hall based on the first error value and the second error value.

[0076] The first error value refers to the difference between the actual height of the lifting mechanism and the set module height parameter. For example, if the system sets the module height parameter to 1200mm, but the actual height of the lifting mechanism detected by the displacement sensor is 1198mm, then the first error value is -2mm. The first error value reflects the deviation between the actual operating position and the target position of the lifting mechanism and is an important indicator for evaluating the accuracy of height control.

[0077] The second error value refers to the difference between the actual angle value of the rotating platform and the set platform rotation parameters. For example, if the system sets the platform rotation parameters to 90 degrees, but the actual angle value detected by the angle sensor is 89.8 degrees, then the second error value is -0.2 degrees. The second error value reflects the deviation between the actual rotation position and the target rotation position of the rotating platform and is an important indicator for evaluating the accuracy of rotation control.

[0078] Specifically, to ensure the accuracy and stability of the display process, the system needs to monitor and correct the operating status of the display device in real time. The system uses a high-precision displacement sensor installed on the lifting mechanism to collect the current actual height value in real time. This displacement sensor can be, for example, a linear encoder with a resolution of 0.005 mm. Simultaneously, an angle sensor installed on the rotating platform collects the current actual angle value. This angle sensor can be, for example, a high-precision encoder with a resolution of 0.005 degrees. The system compares the collected actual height value with preset module height parameters to calculate a first error value; it also compares the actual angle value with preset platform rotation parameters to calculate a second error value. When the first error value exceeds a preset height deviation threshold (e.g., ±0.5 mm) or the second error value exceeds a preset angle deviation threshold (e.g., ±0.1 degrees), the system initiates a correction procedure. During the correction process, the system first analyzes the cause of the error, which may be due to mechanical clearance, temperature drift, or load variations. Then, the system uses an adaptive PID control algorithm to generate a correction signal. This algorithm dynamically adjusts the control parameters based on the magnitude and trend of the error; for example, it increases the proportional coefficient when the error is large and decreases it when the error approaches the target value to avoid overshoot and oscillation. The system sends the correction signal to the drive systems of the lifting mechanism and the rotating platform, respectively, achieving position compensation through precise closed-loop control. During the correction process, the system continuously monitors the correction effect, completing the correction when the error between the actual value and the target value decreases to within a preset threshold. This real-time feedback-based correction mechanism not only ensures that the display device always remains in optimal working condition but also improves the stability and reliability of the display process. Simultaneously, the system records data from the correction process for subsequent performance optimization and predictive maintenance.

[0079] Based on the above embodiments, as an optional embodiment, step 105, which involves correcting the container exhibition hall based on the first error value and the second error value, may further include the following steps:

[0080] Step 501: Calculate the rate of change of the first error value and the rate of change of the second error value within the preset time period.

[0081] Specifically, to assess the operational stability of the display device and predict potential deviation trends, the system needs to analyze the dynamic changes of the first and second error values. The system first sets a preset time period, for example, 10 seconds, during which it continuously collects the actual height value of the lifting mechanism and the actual angle value of the rotating platform at a fixed sampling frequency (e.g., 100Hz). For calculating the rate of change of the first error value, the system arranges the differences between multiple sets of actual height values ​​collected within the preset time period and the module height parameter in chronological order, calculates the error change between two adjacent sampling points using the difference method, and divides it by the sampling time interval to obtain the instantaneous rate of change for each sampling point. Similarly, for calculating the rate of change of the second error value, the system arranges the differences between multiple sets of actual angle values ​​collected within the preset time period and the platform rotation parameter in chronological order, and calculates the instantaneous rate of change of the angle error using the same method. The system performs digital filtering on the calculated instantaneous rate of change data; for example, a moving average filtering algorithm can be used to eliminate the influence of random fluctuations, resulting in a smoother rate of change curve. This time-series-based error rate of change analysis method can not only reflect the dynamic characteristics of the display device, but also predict the development trend of errors, providing a basis for subsequent correction and control. By monitoring the error rate of change in real time, the system can promptly detect potential anomalies. For example, when the rate of change is detected to exceed a preset threshold, preventive measures can be taken in advance to avoid further expansion of the error.

[0082] Step 502: Determine the first adjustment speed and first adjustment direction of the lifting mechanism based on the rate of change of the first error value, and determine the second adjustment speed and second adjustment direction of the rotating platform based on the rate of change of the second error value.

[0083] Specifically, to achieve precise calibration control of the display device, the system determines specific adjustment parameters based on the error change rate. First, the system determines the adjustment strategy for the lifting mechanism based on the change rate of the first error value. Specifically, the system sets tiered thresholds for the change rate. For example, when the absolute value of the change rate of the first error value is less than 0.1 mm / s, the first adjustment speed is set to the reference speed (e.g., 5 mm / s); when the absolute value of the change rate is in the range of 0.1-0.3 mm / s, the first adjustment speed is set to 1.5 times the reference speed; when the absolute value of the change rate is greater than 0.3 mm / s, the first adjustment speed is set to twice the reference speed. Simultaneously, the system determines the first adjustment direction based on the sign of the change rate of the first error value. When the change rate is positive, it indicates that the error is increasing, and the system sets the adjustment direction to negative compensation; when the change rate is negative, it indicates that the error is decreasing, and the system sets the adjustment direction to positive compensation. Similarly, the system determines the adjustment strategy for the rotating platform based on the change rate of the second error value. The system also employs a tiered control method. For example, when the absolute value of the rate of change of the second error value is less than 0.1 degrees / s, the second adjustment speed is set to the reference speed (e.g., 2 degrees / s); when the absolute value of the rate of change is in the range of 0.1-0.3 degrees / s, the second adjustment speed is set to 1.5 times the reference speed; and when the absolute value of the rate of change is greater than 0.3 degrees / s, the second adjustment speed is set to twice the reference speed. The determination of the second adjustment direction is also based on the positive or negative value of the rate of change, using the same compensation principle. When determining the adjustment parameters, the system also considers the dynamic characteristics and safety limitations of the mechanism. For example, a maximum adjustment speed limit can be set to ensure the smoothness of the correction process. This adaptive adjustment method based on the error rate of change not only allows for flexible adjustment of the control strategy according to the dynamic characteristics of the error but also ensures the speed and stability of the correction process, effectively improving the control accuracy of the display device.

[0084] Step 503: Based on the first adjustment speed and the first adjustment direction, perform closed-loop control on the drive motor of the lifting mechanism, and based on the second adjustment speed and the second adjustment direction, perform closed-loop control on the drive motor of the rotating platform until both the first error value and the second error value are less than the error threshold.

[0085] Specifically, to achieve high-precision calibration of the display device, the system employs a closed-loop control method to precisely adjust the drive motor. Firstly, the system constructs a closed-loop control loop for the lifting mechanism, converting the first adjustment speed and direction into motor control signals. The system uses an incremental PID control algorithm; for example, the proportional coefficient Kp can be set to 0.8, the integral coefficient Ki to 0.2, and the derivative coefficient Kd to 0.1, dynamically adjusting the control output based on real-time position feedback. During control, the system continuously collects the actual position of the lifting mechanism through a displacement sensor, calculates the deviation from the target position, and adjusts the motor speed and direction accordingly. Simultaneously, the system establishes a closed-loop control loop for the rotating platform, converting the second adjustment speed and direction into corresponding motor control signals, and employs a similar PID control strategy to achieve angle adjustment. The system sets error thresholds; for example, the threshold for the first error value can be ±0.1 mm, and the threshold for the second error value can be ±0.05 degrees. During control, the system calculates the current error value in real time and compares it with the threshold. When both error values ​​are detected to be less than their respective thresholds, the system considers the calibration target achieved and completes the calibration process. If the error value is not reduced to within the threshold within the preset calibration time (e.g., 30 seconds), the system will trigger an abnormal handling mechanism. For example, it may reduce the adjustment speed and recalibrate, or issue a warning signal to prompt manual intervention. This precise control method based on closed-loop feedback not only ensures the accuracy and reliability of the calibration process, but also improves the system's adaptability and stability through real-time monitoring and dynamic adjustment, effectively guaranteeing the precise positioning capability of the display device.

[0086] Reference Figure 2 This application provides an intelligent container showroom control system for vehicles. The system includes: an information acquisition module, a control parameter generation module, a container showroom control module, and a container showroom calibration module, wherein:

[0087] The information acquisition module is used to acquire information on the folding status of the container showroom and the vehicle loading information. The container showroom includes a lifting mechanism and a rotatable display platform.

[0088] The control parameter generation module is used to determine the display space size based on the side wall unfolding angle and unfolding position in the folding state information, and to calculate the load-bearing capacity distribution based on the vehicle weight and vehicle position in the vehicle loading information; combined with the display space size and load-bearing capacity distribution, the module generates display control parameters, including module height parameters and platform rotation parameters.

[0089] The container showroom control module is used to control the lifting mechanism to adjust the height of the container showroom according to the module height parameters, and to control the rotating platform to rotate and display the vehicles according to the platform rotation parameters.

[0090] The container exhibition hall calibration module is used to detect the first error value between the current actual height value of the lifting mechanism and the module height parameter, and the second error value between the current actual angle value of the rotating platform and the platform rotation parameter, and to calibrate the container exhibition hall based on the first error value and the second error value.

[0091] Based on the above embodiments, the control parameter generation module is also used to obtain the side wall unfolding angle collected by the angle sensor set on the side wall and the unfolding position collected by the position sensor; establish a three-dimensional coordinate system according to the unfolding position, and map the side wall unfolding angle to the three-dimensional coordinate system; calculate the effective volume of the display space in the container exhibition hall based on the angle distribution in the three-dimensional coordinate system; and determine the display space size of the container exhibition hall according to the effective volume.

[0092] Based on the above embodiments, the control parameter generation module is also used to obtain the projected dimensions of the effective volume along the coordinate axis; determine the length, width and height of the display space according to the projected dimensions, and use the length, width and height as the display space dimensions of the container exhibition hall.

[0093] Based on the above embodiments, the control parameter generation module is also used to obtain the contact position coordinates between the front axle and rear axle of the chassis of the vehicle corresponding to the vehicle loading information and the display platform; calculate the load pressure values ​​corresponding to the front axle and rear axle of the chassis based on the vehicle weight and the weight distribution ratio of the front axle and rear axle of the chassis; and determine the force distribution state of the display platform based on the contact position coordinates and load pressure values ​​to obtain the load-bearing capacity distribution.

[0094] Based on the above embodiments, the control parameter generation module is also used to obtain multiple preset display scene templates, each set of display scene templates corresponding to a set of height parameters and rotation parameters; calculate the matching degree with each display scene template according to the display space size and load-bearing capacity distribution; select the target display scene template with the highest matching degree, set the height parameter corresponding to the target display scene template as the target module height parameter, and set the rotation parameter corresponding to the target display scene template as the platform rotation parameter.

[0095] Based on the above embodiments, the container exhibition hall control module is also used to collect the reference height value of the lifting mechanism and the reference angle value of the rotating platform; convert the difference between the reference height value and the module height parameter into a lifting control signal, and convert the difference between the reference angle value and the platform rotation parameter into a rotation control signal; control the drive motor of the lifting mechanism to adjust the height according to the lifting control signal, and control the drive motor of the rotating platform to rotate the angle according to the rotation control signal.

[0096] Based on the above embodiments, the container exhibition hall correction module is also used to calculate the rate of change of the first error value and the rate of change of the second error value within a preset time period; determine the first adjustment speed and the first adjustment direction of the lifting mechanism based on the rate of change of the first error value, and determine the second adjustment speed and the second adjustment direction of the rotating platform based on the rate of change of the second error value; perform closed-loop control on the drive motor of the lifting mechanism based on the first adjustment speed and the first adjustment direction, and perform closed-loop control on the drive motor of the rotating platform based on the second adjustment speed and the second adjustment direction, until both the first error value and the second error value are less than the error threshold.

[0097] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

[0098] This application also discloses an electronic device. (See reference...) Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0099] The communication bus 302 is used to enable communication between these components.

[0100] The user interface 303 may include a display interface and a camera interface. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0101] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0102] The processor 301 may include one or more processing cores. The processor 301 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling data stored in the memory 305. Optionally, the processor 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 301 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface graphics, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also not be integrated into the processor 301 and may be implemented as a separate chip.

[0103] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include a non-transitory computer-readable storage medium. The memory 305 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned processor 301. (Refer to...) Figure 3 The memory 305, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for a vehicle intelligent container showroom control method.

[0104] exist Figure 3In the illustrated electronic device 300, the user interface 303 is mainly used to provide an input interface for the user and acquire user input data; while the processor 301 can be used to call an application program stored in the memory 305 for a vehicle intelligent container showroom control method. When executed by one or more processors 301, the electronic device 300 performs one or more methods as described in the above embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0105] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0106] In the various embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0107] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0108] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0109] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0110] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will be readily apparent to those skilled in the art upon consideration of the specification and practical disclosure.

[0111] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only.

Claims

1. A vehicle intelligent container hall control method, characterized by, The method comprises the following steps: acquiring folding state information and vehicle loading information of a container exhibition hall, the container exhibition hall comprising a lifting mechanism and a rotatable display platform; determining a display space size according to a side wall unfolding angle and an unfolding position in the folding state information, and calculating a bearing force distribution according to a vehicle weight and a vehicle position in the vehicle loading information; generating display control parameters, including a module height parameter and a platform rotation parameter, in combination with the display space size and the bearing force distribution; controlling the lifting mechanism to adjust the height of the container exhibition hall according to the module height parameter, and controlling the rotating platform to rotate and display the vehicle according to the platform rotation parameter; detecting a first error value between a current actual height value of the lifting mechanism and the module height parameter, and a second error value between a current actual angle value of the rotating platform and the platform rotation parameter, and correcting the container exhibition hall based on the first error value and the second error value; the step of calculating the bearing force distribution according to the vehicle weight and the vehicle position in the vehicle loading information comprises: acquiring contact position coordinates of a chassis front axle and a chassis rear axle of a vehicle corresponding to the vehicle loading information and the display platform; calculating load pressure values corresponding to the chassis front axle and the chassis rear axle according to the vehicle weight and a weight distribution ratio of the chassis front axle and the chassis rear axle; determining a stress distribution state of the display platform based on the contact position coordinates and the load pressure values, to obtain the bearing force distribution; the step of correcting the container exhibition hall based on the first error value and the second error value comprises: calculating a change rate of the first error value in a preset time period and a change rate of the second error value in the preset time period; determining a first adjustment speed and a first adjustment direction of the lifting mechanism according to the change rate of the first error value, and determining a second adjustment speed and a second adjustment direction of the rotating platform according to the change rate of the second error value; performing closed-loop control on a drive motor of the lifting mechanism based on the first adjustment speed and the first adjustment direction, and performing closed-loop control on a drive motor of the rotating platform based on the second adjustment speed and the second adjustment direction, until the first error value and the second error value are both less than an error threshold.

2. The method of claim 1, wherein, the step of determining a display space size according to a side wall unfolding angle and an unfolding position in the folding state information comprises: acquiring a side wall unfolding angle collected by an angle sensor arranged on the side wall and an unfolding position collected by a position sensor; establishing a three-dimensional coordinate system according to the unfolding position, and mapping the side wall unfolding angle into the three-dimensional coordinate system; calculating an effective volume of a display space in the container exhibition hall based on an angle distribution in the three-dimensional coordinate system; determining a display space size of the container exhibition hall according to the effective volume.

3. The method of claim 2, wherein, the step of determining a display space size of the container exhibition hall according to the effective volume comprises: acquiring a projection size of the effective volume along a coordinate axis; Determine the length, width and height of the exhibition space according to the projection size, and take the length, width and height as the exhibition space size of the container exhibition hall.

4. The method of claim 1, wherein, Generate exhibition control parameters including module height parameters and platform rotation parameters by combining the exhibition space size and the bearing force distribution, including: Obtain a plurality of preset groups of exhibition scene templates, each group of exhibition scene templates corresponding to a group of height parameters and rotation parameters; Calculate the matching degree of each exhibition scene template according to the exhibition space size and the bearing force distribution; Select the target exhibition scene template with the highest matching degree, set the height parameter corresponding to the target exhibition scene template as the target module height parameter, and set the rotation parameter corresponding to the target exhibition scene template as the platform rotation parameter.

5. The method of claim 1, wherein, Control the lifting mechanism to adjust the height of the container exhibition hall according to the module height parameter, and control the rotating platform to rotate and display the vehicle according to the platform rotation parameter, including: Collect the reference height value of the lifting mechanism and the reference angle value of the rotating platform; Convert the difference between the reference height value and the module height parameter into a lifting control signal, and convert the difference between the reference angle value and the platform rotation parameter into a rotation control signal; Control the drive motor of the lifting mechanism to adjust the height according to the lifting control signal, and control the drive motor of the rotating platform to rotate the angle according to the rotation control signal.

6. A vehicle intelligent container hall control system, characterized by, The system comprises: An information acquisition module for acquiring folding state information and vehicle loading information of a container exhibition hall, the container exhibition hall comprising a lifting mechanism and a rotatable display platform; A control parameter generation module for determining an exhibition space size according to the side wall unfolding angle and unfolding position in the folding state information, and calculating a bearing force distribution according to the vehicle weight and vehicle position in the vehicle loading information; generate exhibition control parameters including module height parameters and platform rotation parameters by combining the exhibition space size and the bearing force distribution; A container exhibition hall control module for controlling the lifting mechanism to adjust the height of the container exhibition hall according to the module height parameter, and controlling the rotating platform to rotate and display the vehicle according to the platform rotation parameter; A container exhibition hall correction module for detecting the first error value between the actual height value of the lifting mechanism and the module height parameter, and the second error value between the actual angle value of the rotating platform and the platform rotation parameter, and correcting the container exhibition hall based on the first error value and the second error value; The calculation of the bearing force distribution according to the vehicle weight and vehicle position in the vehicle loading information comprises: Obtain the contact position coordinates of the chassis front axle and chassis rear axle of the vehicle corresponding to the vehicle loading information and the display platform; Calculate the load pressure values corresponding to the chassis front axle and chassis rear axle according to the vehicle weight and the weight distribution ratio of the chassis front axle and chassis rear axle; Determine the stress distribution state of the display platform based on the contact position coordinates and the load pressure values, and obtain the bearing force distribution; The correcting the container exhibition hall based on the first error value and the second error value comprises: calculating a change rate of the first error value in a preset time period and a change rate of the second error value in the preset time period; determining a first adjusting speed and a first adjusting direction of the lifting mechanism according to the change rate of the first error value, and determining a second adjusting speed and a second adjusting direction of the rotating platform according to the change rate of the second error value; performing closed-loop control on a driving motor of the lifting mechanism based on the first adjusting speed and the first adjusting direction, and performing closed-loop control on a driving motor of the rotating platform based on the second adjusting speed and the second adjusting direction, until the first error value and the second error value are both less than an error threshold.

7. An electronic device, comprising: The electronic device comprises a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory, so that the electronic device executes the vehicle intelligent container exhibition hall control method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer readable storage medium stores instructions, when the instructions are executed, the vehicle intelligent container exhibition hall control method according to any one of claims 1-5 is executed.

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