Whole vehicle logistics rotary lifting loading and unloading tower control method and device and storage medium

Abstract

The invention discloses a control method and device for a whole vehicle logistics rotary lifting loading and unloading tower and a storage medium. The control method comprises the steps that equipment feature information and position information of target transportation equipment are obtained; based on the equipment feature information and the position information, a docking platform adjusting mode is determined through a fuzzy matching algorithm, the docking platform adjusting mode is used for adjusting a docking platform of the loading and unloading tower to a target position, and the docking platform adjusting mode comprises an image adjusting mode and a historical adjusting mode; and in response to the docking platform adjustment mode, generating a control instruction set, the control instruction set being used for controlling the docking platform to move to a target position adapted to the device feature information and the position information. The technical problems that in the prior art, when a whole vehicle logistics loading and unloading tower faces different transportation devices, a butt joint platform is difficult to adjust, and efficiency is low are solved.

Description

Technical Field

[0001] This invention relates to the field of intelligent logistics equipment technology, and more specifically, to a control method, device, and storage medium for a rotating lifting loading and unloading tower for whole vehicle logistics. Background Technology

[0002] In the whole vehicle logistics industry, traditional loading and unloading operations rely on manual labor, which is not only inefficient but also makes it difficult to guarantee accuracy and safety when adjusting the docking platform of the loading and unloading tower to connect with the transport equipment. Especially when dealing with various sizes and types of transport equipment, the adjustment of the docking platform often requires lengthy manual operation and experience-based judgment, which not only increases logistics costs but also limits the efficiency and flexibility of loading and unloading operations.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a control method, device, and storage medium for a rotating lifting loading and unloading tower for vehicle logistics, which at least solves the technical problems of difficulty in adjusting the docking platform and low efficiency when dealing with different transportation equipment in the prior art.

[0005] According to one aspect of the present invention, in order to achieve the above-mentioned objective, a control method for a rotating lifting loading and unloading tower for vehicle logistics is provided, comprising: acquiring equipment feature information and location information of a target transportation device; determining a docking platform adjustment mode based on the equipment feature information and location information using a fuzzy matching algorithm, wherein the docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to a target position, wherein the docking platform adjustment mode includes: an image adjustment mode and a historical adjustment mode; and generating a control instruction set in response to the docking platform adjustment mode, wherein the control instruction set is used to control the docking platform to move to a target position adapted to the equipment feature information and location information.

[0006] Furthermore, based on equipment feature information and location information, a fuzzy matching algorithm is used to determine the docking platform adjustment mode, including: matching the equipment feature information and location information with the equipment adjustment database using a fuzzy matching algorithm to obtain a matching result, which includes: successful matching and unsuccessful matching; in response to a successful matching result, the docking platform adjustment mode is determined to be the historical adjustment mode; in response to an unsuccessful matching result, the docking platform adjustment mode is determined to be the image adjustment mode.

[0007] Furthermore, in response to the docking platform adjustment mode being the historical adjustment mode, a control command set is generated, including: determining the docking platform height data corresponding to the target transportation equipment based on equipment characteristic information; and generating a control command set corresponding to the docking platform height data based on the docking platform height data.

[0008] Furthermore, in response to the docking platform adjustment mode being image adjustment mode, a control instruction set is generated, including: acquiring several image data of the target transportation equipment; determining the transportation platform height information of the target transportation equipment based on the several image data; determining the target adjustment height data of the docking platform based on the transportation platform height information; and generating a control instruction set corresponding to the docking platform height data based on the target adjustment height data of the docking platform.

[0009] Furthermore, based on several image data, the height information of the target transportation equipment's transportation platform is determined, including: preprocessing several image data to obtain several processed image data; and determining the height information of the target transportation equipment's transportation platform based on the several processed image data.

[0010] Furthermore, several image data are preprocessed to obtain several processed image data, including: filtering several image data to obtain several filtered image data; and using an edge calculation method based on several filtered image data to obtain several processed image data.

[0011] Furthermore, based on several processed image data, the height information of the target transportation equipment's transportation platform is determined, including: determining several initial loading and unloading equipment transportation platform height data based on several processed image data; and using a weighted algorithm based on several initial loading and unloading equipment transportation platform height data to determine the height information of the target transportation equipment's transportation platform.

[0012] Furthermore, after generating the corresponding control instruction set based on the target adjustment height data of the docking platform, the process also includes storing the transportation platform height information of the target transportation equipment, along with the corresponding equipment characteristic information and location information, into the equipment adjustment database.

[0013] According to one embodiment of the present invention, a control device for a rotating lifting loading and unloading tower for vehicle logistics is also provided, comprising: an acquisition module for acquiring equipment feature information and location information of a target transportation device; a matching module for determining a docking platform adjustment mode based on the equipment feature information and location information using a fuzzy matching algorithm, wherein the docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to a target position, and wherein the docking platform adjustment mode includes: an image adjustment mode and a historical adjustment mode; and a control module for generating a control instruction set in response to the docking platform adjustment mode, wherein the control instruction set is used to control the docking platform to move to a target position adapted to the equipment feature information and location information respectively.

[0014] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0015] In this embodiment of the invention, by acquiring the equipment feature information and location information of the transportation equipment and combining it with a fuzzy matching algorithm, the most suitable docking platform adjustment mode is automatically determined. This can significantly improve the docking accuracy and operational efficiency of the vehicle logistics loading and unloading tower, reduce manual intervention, and lower operational risks. At the same time, by combining image adjustment mode and historical adjustment mode, it can adapt to a wider range of transportation equipment types, improve the flexibility and intelligence level of logistics loading and unloading, and thus solve the technical problem of difficulty in adjusting the docking platform and low efficiency when facing different transportation equipment in the prior art. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0017] Figure 1 This is a flowchart of a control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to one embodiment of the present invention;

[0018] Figure 2 This is a structural block diagram of a vehicle logistics rotary lifting loading and unloading tower control device according to one embodiment of the present invention. Detailed Implementation

[0019] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0020] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0021] According to an embodiment of the present invention, a control method for a rotating lifting loading and unloading tower for vehicle logistics is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0022] This method embodiment can be executed in an electronic device or similar computing device that includes memory and a processor. Taking operation on a vehicle terminal as an example, the vehicle terminal may include one or more processors (processors may include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), digital signal processing (DSP) chips, microcontroller units (MCUs), field-programmable gate arrays (FPGAs), neural network processors (NPUs), tensor processors (TPUs), artificial intelligence (AI) type processors, etc.) and memory for storing data. Optionally, the vehicle terminal may also include transmission devices, input / output devices, and display devices for communication functions. Those skilled in the art will understand that the above structural description is merely illustrative and does not limit the structure of the vehicle terminal. For example, the vehicle terminal may include more or fewer components than described above, or have a different configuration than described above.

[0023] The memory can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the vehicle logistics rotating lifting loading and unloading tower control method in this embodiment of the invention. The processor executes various functional applications and data processing by running the computer program stored in the memory, thereby realizing the aforementioned vehicle logistics rotating lifting loading and unloading tower control method. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to a mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0024] The transmission device is used to receive or send data via a network. Specific examples of the network mentioned above may include a wireless network provided by the mobile terminal's communication provider. In one example, the transmission device includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0025] Display devices can be, for example, touchscreen liquid crystal displays (LCDs) and touch displays (also referred to as "touchscreens" or "touch displays"). The LCD allows users to interact with the user interface of the mobile terminal. In some embodiments, the mobile terminal has a graphical user interface (GUI), which allows users to interact with the GUI through finger contact and / or gestures on a touch-sensitive surface. Optional human-computer interaction functions include: creating web pages, drawing, word processing, creating electronic documents, playing games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital video, playing digital music, and / or web browsing, etc. Executable instructions for performing the above human-computer interaction functions are configured / stored in one or more processor-executable computer program products or readable storage media.

[0026] Figure 1 This is a flowchart of a control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to one embodiment of the present invention, such as... Figure 1 As shown, the method includes the following steps:

[0027] Step S110: Obtain the equipment characteristic information and location information of the target transportation equipment;

[0028] In step S110, high-precision sensors and cameras installed around the loading and unloading tower docking platform capture key characteristics of the target transport equipment in real time, such as its size, type, and load-bearing capacity. These sensors include, but are not limited to, laser rangefinders, infrared scanners, and image recognition cameras. They can provide three-dimensional point cloud data of the transport equipment, accurately measure its length, width, and height, and identify its type, such as a truck, trailer, or other logistics transport vehicle.

[0029] These technologies enable real-time tracking of the precise location of transport equipment near the docking platform of the loading / unloading tower. They not only provide the equipment's coordinates but also calculate its orientation and speed, ensuring the docking platform can respond quickly and accurately to changes in the equipment's position.

[0030] The collected equipment feature and location information is transmitted to the central processing unit in real time. This unit uses algorithms to quickly analyze the type, size, and relative position and orientation of the transport equipment near the docking platform. Based on this information, the height, angle, and position of the docking platform can be intelligently adjusted to ensure seamless docking with the transport equipment, reducing the time and errors associated with manual adjustments.

[0031] By recording data from each adjustment, the system can continuously learn optimal docking strategies for different transportation equipment, improving the accuracy and efficiency of future operations. Furthermore, it can dynamically adjust docking priorities based on real-time logistics demands and equipment status, further optimizing loading and unloading processes.

[0032] Step S120: Based on equipment feature information and location information, a fuzzy matching algorithm is used to determine the docking platform adjustment mode. The docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to the target position. The docking platform adjustment mode includes: image adjustment mode and historical adjustment mode.

[0033] In step S120, high-precision sensors and cameras capture the characteristics of the transport equipment in real time, including but not limited to the vehicle's type, size, load-bearing capacity, and its precise location information near the loading / unloading tower docking platform, including coordinates, direction, and motion status. This information provides the basic data for the intelligent adjustment of the docking platform.

[0034] The collected equipment feature and location information is then fuzzily matched with a pre-established equipment adjustment database. This database stores the correspondence between different equipment features and optimal docking platform adjustment parameters from historical docking operations, including adjustment height, angle, and position.

[0035] Since there may be slight differences in the device information, a fuzzy matching algorithm is used, which can tolerate a certain range of feature value errors and improve the matching success rate. The algorithm outputs matching results, including "match successful" and "match unsuccessful".

[0036] Step S140: In response to the docking platform adjustment mode, a control command set is generated. The control command set is used to control the docking platform to move to a target position that is compatible with the equipment feature information and position information.

[0037] In step S140, when the target transport equipment to be docked is identified as highly matched with the equipment feature information in the database, the docking platform adjustment mode is determined to be the historical adjustment mode. At this time, key features such as the type and size of the equipment are extracted.

[0038] Based on the acquired equipment characteristic information and referring to historical operation data stored in the equipment adjustment database, the docking platform height data matching the target transportation equipment is quickly determined. This data reflects the platform height settings of previously successfully docked platforms, ensuring that the platform can accurately adapt to the transportation equipment.

[0039] Next, the docking platform height data is converted into a specific set of control commands, including adjusting the parameters of components such as hydraulic systems and drive motors, to precisely control the docking platform to rise or fall to the required height. The generation of the control command set follows the specific requirements of the equipment and historical best practices, ensuring highly efficient and low-error operation.

[0040] When the target transport equipment does not precisely match any equipment in the historical database, an image adjustment mode is switched on. Multi-angle image data of the target transport equipment is automatically acquired, and the image data is filtered to eliminate noise interference and improve image quality. Subsequently, an edge detection algorithm is used to identify key contours and features in the image.

[0041] Based on the preprocessed image data, image analysis techniques and machine learning algorithms are used to accurately determine the height information of the target transportation equipment's platform. This process may involve various advanced image processing techniques such as feature point matching and template comparison to ensure the accuracy of height measurement.

[0042] The determined height information of the transport platform is compared with the current state of the docking platform of the loading and unloading tower to calculate the required adjustment height difference, i.e., the target adjustment height data of the docking platform. Then, a detailed set of control instructions is generated to adjust the docking platform until it is precisely aligned with the transport platform of the target transport equipment.

[0043] In "Image Adjustment Mode," once the docking platform successfully adjusts to the target height and completes the docking operation, the platform height, equipment characteristics, and location information of the target transportation equipment are updated in the equipment adjustment database. This feedback mechanism facilitates learning and self-optimization. Over time, the database will become increasingly rich, and the accuracy of the fuzzy matching algorithm and the applicability of historical adjustment modes will gradually improve. This reduces the need to use Image Adjustment Mode in subsequent docking operations, further enhancing the intelligence level and operational efficiency of the vehicle logistics loading and unloading tower.

[0044] Whether using historical adjustment mode or image adjustment mode, it can automatically generate control command sets based on the specific characteristics and location information of the target transportation equipment, and efficiently and accurately adjust the loading and unloading tower docking platform to the optimal docking state, significantly enhancing the automation processing capability and logistics operation safety of the whole vehicle logistics industry.

[0045] Based on steps S110 to S140 above, in this embodiment of the invention, by acquiring the equipment feature information and location information of the transportation equipment and combining them with a fuzzy matching algorithm, the most suitable docking platform adjustment mode is automatically determined. This can significantly improve the docking accuracy and operational efficiency of the vehicle logistics loading and unloading tower, reduce manual intervention, and lower operational risks. At the same time, by combining image adjustment mode and historical adjustment mode, it can adapt to a wider range of transportation equipment types, improve the flexibility and intelligence level of logistics loading and unloading, and thus solve the technical problem of difficulty in adjusting the docking platform and low efficiency when facing different transportation equipment in the prior art.

[0046] The vehicle logistics rotating lifting loading and unloading tower control method of the present invention, based on equipment feature information and location information, determines the docking platform adjustment mode through a fuzzy matching algorithm, including: matching the equipment feature information and location information with the equipment adjustment database using a fuzzy matching algorithm to obtain a matching result, the matching result including: successful matching and unsuccessful matching; in response to a successful matching result, determining the docking platform adjustment mode as a historical adjustment mode; in response to an unsuccessful matching result, determining the docking platform adjustment mode as an image adjustment mode.

[0047] Using this embodiment, the type and status of transportation equipment can be quickly identified. Successful operating parameters from the past can be directly called up through the historical adjustment mode to achieve immediate adaptation and reduce adjustment time. When encountering new equipment or equipment with significant differences in characteristics, the system automatically switches to image adjustment mode and uses image analysis technology to dynamically generate adjustment strategies, ensuring that the docking platform can flexibly respond to various situations and maintain a high level of operational quality.

[0048] In this embodiment, in response to the docking platform adjustment mode being the historical adjustment mode, a control instruction set is generated, including: determining the docking platform height data corresponding to the target transportation equipment based on equipment feature information; and generating a control instruction set corresponding to the docking platform height data based on the docking platform height data.

[0049] In this embodiment, when the docking platform adjustment mode is determined to be the historical adjustment mode, the system quickly locates the optimal height data corresponding to the target transport equipment based on the equipment feature information, and then automatically generates a precise set of control instructions to adjust the docking platform. This process significantly accelerates the preparation stage of loading and unloading operations, reduces the delay caused by manual adjustment or real-time calculation, improves the efficiency of operation and the accuracy of platform adjustment, and at the same time reduces operating costs and potential docking error rates.

[0050] Furthermore, in response to the docking platform adjustment mode being image adjustment mode, a control instruction set is generated, including: acquiring several image data of the target transportation equipment; determining the transportation platform height information of the target transportation equipment based on the several image data; determining the target adjustment height data of the docking platform based on the transportation platform height information; and generating a control instruction set corresponding to the docking platform height data based on the target adjustment height data of the docking platform.

[0051] This embodiment utilizes multi-angle image data acquisition and analysis to accurately identify the height information of the transportation platform, avoiding the errors and inconveniences of traditional manual measurement. Based on this height information, the system dynamically calculates and determines the target adjustment height data of the docking platform, thereby generating a customized control command set to achieve precise adjustment of the docking platform. This ensures high-precision docking even in complex and ever-changing logistics environments, significantly improving the safety and efficiency of loading and unloading operations.

[0052] Specifically, determining the height information of the transportation platform of the target transportation equipment based on several image data includes: preprocessing several image data to obtain several processed image data; and determining the height information of the transportation platform of the target transportation equipment based on the several processed image data.

[0053] Using this embodiment, based on the processed image data, the system employs advanced image recognition and machine learning algorithms to accurately capture and measure the height information of the transportation platform from multiple dimensions and perspectives. Even in environments with poor lighting conditions or complex surface features of the transportation equipment, high-precision measurement can be achieved.

[0054] Furthermore, several image data are preprocessed to obtain several processed image data, including: filtering several image data to obtain several filtered image data; and using an edge calculation method based on several filtered image data to obtain several processed image data.

[0055] This embodiment employs preprocessing of several image data sets, particularly using filtering combined with edge computing methods, which significantly improves the accuracy and efficiency of image analysis. Filtering effectively removes random noise and unnecessary details from the images, improving image quality and making subsequent image analysis more reliable. Edge computing focuses on extracting key boundary information from the images; these boundaries are often important markers of object contours and are crucial for determining the height of the transportation platform. Through these two preprocessing steps, the system can accurately identify the edge features of the transportation equipment platform from complex backgrounds, maintaining the stability and accuracy of height measurement even under varying lighting conditions or cluttered environments.

[0056] In one exemplary embodiment, determining the transport platform height information of the target transport equipment based on several processed image data includes: determining several initial loading and unloading equipment transport platform height data based on several processed image data; and determining the transport platform height information of the target transport equipment based on several initial loading and unloading equipment transport platform height data using a weighted algorithm.

[0057] This embodiment, based on multiple processed image data, determines multiple initial height data of the loading and unloading equipment transportation platform and uses a weighted algorithm for comprehensive analysis. This method significantly improves the accuracy and robustness of determining the transportation platform height information. Multiple image data provide a comprehensive perspective, ensuring the completeness and reliability of the data. The initial height data obtained from each perspective are fused using a weighted algorithm, effectively offsetting any errors or deviations that may exist in a single image, resulting in more accurate height information of the target transportation equipment transportation platform.

[0058] Furthermore, after generating the corresponding control instruction set based on the target adjustment height data of the docking platform, the process also includes storing the transportation platform height information of the target transportation equipment, along with the corresponding equipment characteristic information and location information, into the equipment adjustment database.

[0059] This embodiment, by integrating and storing the target transport equipment's platform height information, equipment characteristic information, and location information into the equipment adjustment database, significantly improves the efficiency of subsequent loading and unloading operations and the system's intelligence level. By establishing a database, the system can memorize and accumulate specific information about different transport equipment. When encountering transport equipment with the same or similar characteristics again, it can quickly retrieve existing data to rapidly determine the adjustment height of the docking platform, eliminating the need for repeated measurements and calculations and drastically shortening preparation time.

[0060] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0061] This invention also provides a control device for a rotating lifting loading and unloading tower for vehicle logistics. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0062] Figure 2 According to one embodiment of the present invention, a vehicle logistics rotating lifting loading and unloading tower control device includes:

[0063] The acquisition module 210 is used to acquire the equipment feature information and location information of the target transportation equipment;

[0064] The matching module 220 is used to determine the docking platform adjustment mode based on equipment feature information and location information through a fuzzy matching algorithm. The docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to the target position. The docking platform adjustment mode includes: image adjustment mode and historical adjustment mode.

[0065] The control module 230 is used to generate a control command set in response to the docking platform adjustment mode. The control command set is used to control the docking platform to move to a target position that is adapted to the equipment feature information and position information respectively.

[0066] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0067] According to one embodiment of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the above-described vehicle logistics rotating lifting loading and unloading tower control method during operation.

[0068] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0069] Step S1: Obtain the equipment characteristic information and location information of the target transportation equipment;

[0070] Step S2: Based on equipment feature information and location information, the docking platform adjustment mode is determined by a fuzzy matching algorithm. The docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to the target position. The docking platform adjustment mode includes: image adjustment mode and historical adjustment mode.

[0071] Step S3: In response to the docking platform adjustment mode, a control command set is generated. The control command set is used to control the docking platform to move to a target position that matches the equipment feature information and location information.

[0072] According to one embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the storage medium is located to execute the above-described vehicle logistics rotating lifting loading and unloading tower control method.

[0073] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0074] Step S1: Obtain the equipment characteristic information and location information of the target transportation equipment;

[0075] Step S2: Based on equipment feature information and location information, the docking platform adjustment mode is determined by a fuzzy matching algorithm. The docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to the target position. The docking platform adjustment mode includes: image adjustment mode and historical adjustment mode.

[0076] Step S3: In response to the docking platform adjustment mode, a control command set is generated. The control command set is used to control the docking platform to move to a target position that matches the equipment feature information and location information.

[0077] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0078] According to one embodiment of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the above-described control method for a rotating lifting and unloading tower for vehicle logistics.

[0079] Optionally, in this embodiment, the above-mentioned computer program product can be configured as a computer program that performs the following steps:

[0080] Step S1: Obtain the equipment characteristic information and location information of the target transportation equipment;

[0081] Step S2: Based on equipment feature information and location information, the docking platform adjustment mode is determined by a fuzzy matching algorithm. The docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to the target position. The docking platform adjustment mode includes: image adjustment mode and historical adjustment mode.

[0082] Step S3: In response to the docking platform adjustment mode, a control command set is generated. The control command set is used to control the docking platform to move to a target position that matches the equipment feature information and location information.

[0083] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0084] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0085] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be 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 displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0086] 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 units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0087] Furthermore, the functional units in the various embodiments of the present invention 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.

[0088] 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 medium. Based on this understanding, the technical solution of this invention, 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 storage medium 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 invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0089] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A control method for a rotating lifting loading and unloading tower for whole vehicle logistics, characterized in that, include: Obtain the equipment characteristics and location information of the target transportation equipment; Based on the equipment feature information and the location information, a fuzzy matching algorithm is used to determine the docking platform adjustment mode. The docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to the target position. The docking platform adjustment mode includes: image adjustment mode and historical adjustment mode. In response to the docking platform adjustment mode, a control command set is generated, which is used to control the docking platform to move to the target position that is compatible with the device feature information and the position information.

2. The control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to claim 1, characterized in that, Based on the device feature information and the location information, the adjustment mode of the docking platform is determined using a fuzzy matching algorithm, including: Based on the equipment adjustment database, the equipment feature information and the location information are matched with the equipment adjustment database using a fuzzy matching algorithm to obtain a matching result, which includes: successful matching and unsuccessful matching. In response to the matching result being a successful match, the adjustment mode of the docking platform is determined to be the historical adjustment mode; In response to the matching result being a failure to match, the adjustment mode of the docking platform is determined to be the image adjustment mode.

3. The control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to claim 2, characterized in that, In response to the docking platform's adjustment mode being the historical adjustment mode, the control command set is generated, including: Based on the equipment feature information, determine the docking platform height data corresponding to the target transportation equipment; Based on the docking platform height data, the control instruction set corresponding to the docking platform height data is generated.

4. The control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to claim 2, characterized in that, In response to the docking platform adjusting mode being the image adjustment mode, the control command set is generated, including: Acquire several image data of the target transportation equipment, and determine the transportation platform height information of the target transportation equipment based on the several image data; Based on the height information of the transportation platform, the target adjustment height data of the docking platform is determined; Based on the target adjustment height data of the docking platform, the control instruction set corresponding to the docking platform height data is generated.

5. The control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to claim 4, characterized in that, Based on several images, the height information of the transportation platform of the target transportation equipment is determined, including: Preprocessing is performed on several of the aforementioned image data to obtain several processed image data; Based on several processed image data, the height information of the transportation platform of the target transportation equipment is determined.

6. The control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to claim 5, characterized in that, Preprocessing several of the aforementioned image data to obtain several of the processed image data includes: The image data is filtered to obtain a number of filtered image data. Based on several filtered image data, an edge calculation method is used to obtain several processed image data.

7. The control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to claim 5, characterized in that, Based on several processed image data, the height information of the transportation platform of the target transportation equipment is determined, including: Based on several processed image data, several initial loading and unloading equipment transportation platform height data are determined; Based on several initial loading and unloading equipment transportation platform height data, a weighted algorithm is used to determine the transportation platform height information of the target transportation equipment.

8. The control method for a rotating lifting loading and unloading tower for whole vehicle logistics according to claim 4, characterized in that, After generating the corresponding control instruction set based on the target adjustment height data of the docking platform, the method further includes: storing the transportation platform height information of the target transportation equipment, the corresponding equipment feature information, and the location information into the equipment adjustment database.

9. A control device for a rotating lifting loading and unloading tower for whole vehicle logistics, characterized in that, include: The acquisition module is used to acquire the equipment characteristic information and location information of the target transportation equipment; The matching module is used to determine the docking platform adjustment mode based on the equipment feature information and the location information through a fuzzy matching algorithm. The docking platform adjustment mode is used to adjust the docking platform of the loading and unloading tower to the target position. The docking platform adjustment mode includes: image adjustment mode and historical adjustment mode. The control module is used to generate a set of control instructions in response to the adjustment mode of the docking platform. The set of control instructions is used to control the docking platform to move to the target position that is adapted to the device feature information and the position information respectively.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device where the storage medium is located to perform the whole vehicle logistics rotating lifting loading and unloading tower control method according to any one of claims 1 to 8.

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