Self-adaptive adjustment method and device for logistics cargo fixing device and storage medium

Abstract

The invention discloses a self-adaptive adjustment method and device for a logistics cargo fixing device and a storage medium. The method comprises the steps that in response to work starting information of a fixing device, stress state information of a bandage is determined, the fixing device comprises the bandage and a mechanical locking device, and the stress state information comprises a risk state and a safety state; based on the stress state information, an adjustment mode is determined, the adjustment mode is used for adjusting real-time stress data of the bandage to target stress data, and the adjustment mode comprises an adjustment mode and a fixing mode; in response to the adjustment mode, a control instruction is generated, and the control instruction is used for controlling a lock catch of the mechanical locking device to move to a target position matched with the target stress data. Therefore, it is ensured that the mechanical locking device can quickly and accurately move to the position matched with the target stress data of the bandage, and the technical problem that the overall efficiency of logistics operation is low due to the fact that an existing logistics cargo fixing device needs to be manually adjusted is solved.

Description

Technical Field

[0001] The present invention relates to the technology of intelligent logistics equipment, and in particular, to an adaptive adjustment method, device and storage medium for a logistics cargo fixing device. Background Art

[0002] In recent years, with the development of the economy, the logistics industry has developed rapidly, and at the same time, more and more services are provided for users. However, with the increasing logistics business, settlement contradiction problems have also followed.

[0003] In traditional logistics cargo fixing devices, during logistics transportation, the mechanical locking device needs to be manually adjusted each time to adjust the strap tension, which takes a long time. Manual adjustment depends on the operator's experience and judgment, and there may be great differences when different personnel operate, resulting in a decrease in the consistency and reliability of cargo fixation. Especially when dealing with a large number of goods or multiple types of goods with different sizes and weights, this adjustment process is extremely cumbersome, reducing the overall efficiency of logistics operations.

[0004] In response to the above problems, no effective solution has been proposed yet. Summary of the Invention

[0005] Embodiments of the present invention provide an adaptive adjustment method, device and storage medium for a logistics cargo fixing device, so as to at least solve the technical problem of low overall efficiency of logistics operations caused by manual adjustment of existing logistics cargo fixing devices.

[0006] According to one aspect of the embodiments of the present invention, in order to achieve the above object, according to one aspect of the present invention, an adaptive adjustment method for a logistics cargo fixing device is provided, including: in response to the start-up information of the fixing device, determining the stress state information of the strap, wherein the fixing device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safety state; based on the stress state information, determining an adjustment mode, where the adjustment mode is used to adjust the real-time stress data of the strap to the target stress data, and the adjustment mode includes: an adjustment mode and a fixing mode; in response to the adjustment mode, generating a control instruction, where the control instruction is used to control the lock of the mechanical locking device to move to a target position adapted to the target stress data.

[0007] Optionally, determining the stress state information of the strap includes: obtaining the force data of the strap and the strap parameters, where the strap parameters at least include: the elastic modulus, tensile strength, strap width and strap length of the strap material; based on the force data and the strap parameters, determining the stress state information.

[0008] Optionally, based on the force data and the strap parameters, determine the stress state information, including: preprocessing the force data and the strap parameters to obtain the processed force data and the processed strap parameters; and determining the stress state information based on the processed force data and the processed strap parameters.

[0009] Optionally, preprocess the force data and the strap parameters to obtain the processed force data and the processed strap parameters, including: performing median filtering on the force data and the strap parameters to obtain the filtered force data and the filtered strap parameters; and using the Kalman filtering method based on the filtered force data and the filtered strap parameters to obtain the processed force data and the processed strap parameters.

[0010] Optionally, determine the stress state information based on the processed force data and the processed strap parameters, including: determining the real-time stress data based on the processed force data and the processed strap parameters using Hooke's law; periodically obtaining a plurality of real-time stress data to obtain stress-strain curve data; and determining the stress state information based on the stress-strain curve data.

[0011] Optionally, determine the stress state information based on the stress-strain curve data, including: determining the stress-strain curve slope change rate data based on the stress-strain curve data; judging the stress-strain curve slope change rate data based on a preset slope threshold to obtain a judgment result; in response to the judgment result that L is greater than A, determining the stress state information as a risk state; and in response to the judgment result that L ≤ A, determining the stress state information as a safe state; where the stress-strain curve slope change rate data is L and the preset slope threshold is A.

[0012] Optionally, determine the adjustment mode based on the stress state information, including: when the stress state information is a risk state, the corresponding adjustment mode is an adjustment mode; and when the stress state information is a safe state, the corresponding adjustment mode is a fixed mode.

[0013] According to one embodiment of the present invention, there is also provided a self-adaptive adjustment device for a logistics cargo fixing device, including: an acquisition module, configured to determine the stress state information of the strap in response to the fixing device working start information, where the fixing device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safe state; an adjustment module, configured to determine an adjustment mode based on the stress state information, and the adjustment mode is used to adjust the real-time stress data of the strap to the target stress data, where the adjustment mode includes: an adjustment mode and a fixed mode; and an execution module, configured to generate a control instruction in response to the adjustment mode, and the control instruction is used to control the buckle of the mechanical locking device to move to a target position adapted to the target stress data.

[0014] According to one embodiment of the present invention, there is also provided a computer-readable storage medium, which includes a stored executable program. When the executable program runs, it controls the device where the storage medium is located to execute the above-mentioned adaptive adjustment method for the logistics cargo fixing device.

[0015] According to one embodiment of the present invention, there is also provided a computer program product, including a computer program, which realizes the above-mentioned adaptive adjustment method for the logistics cargo fixing device when executed by a processor.

[0016] In the embodiment of the present invention, in response to the start information of the fixing device, where the fixing device includes a strap and a mechanical locking device, stress state information of the strap is obtained. Based on the stress state information, an adjustment mode is determined. The adjustment mode is used to adjust the real-time stress data of the strap to the target stress data. In response to the adjustment mode, a control instruction is generated. The control instruction is used to control the buckle of the mechanical locking device to move to a target position adapted to the target stress data, achieving real-time monitoring so that the device can immediately identify whether the strap is in a safe state or a risk state. Thus, the automatically generated control instruction ensures that the mechanical locking device can quickly and accurately move to a position adapted to the target stress data of the strap, thereby solving the technical problem of low overall efficiency of logistics operations caused by manual adjustment of the existing logistics cargo fixing device. Description of the Drawings

[0017] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0018] Figure 1 is a flowchart of an adaptive adjustment method for a logistics cargo fixing device according to one embodiment of the present invention;

[0019] Figure 2 is a flowchart of another adaptive adjustment method for a logistics cargo fixing device according to one embodiment of the present invention;

[0020] Figure 3 is a structural block diagram of an adaptive adjustment device for a logistics cargo fixing device according to one embodiment of the present invention. Detailed Embodiments

[0021] To enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solution in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work shall fall within the scope of protection of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings 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 under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order different from those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0023] According to an embodiment of the present invention, a method embodiment of an adaptive adjustment method for a logistics cargo fixing device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0024] The method embodiments can be executed in an electronic device or a similar computing device including a memory and a processor. Taking running on a vehicle terminal as an example, the vehicle terminal may include one or more processors (the processors may include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microcontroller unit (MCU), a field programmable gate array (FPGA), a neural-network processor unit (NPU), a tensor processing unit (TPU), an artificial intelligence (AI) type processor, etc.) and a memory for storing data. Optionally, the above vehicle terminal may further include a transmission device, an input / output device, and a display device for communication functions. Those of ordinary skill in the art can understand that the above structural description is only illustrative and does not limit the structure of the above vehicle terminal. For example, the vehicle terminal may further include more or fewer components than the above structural description, or have a different configuration from the above structural description.

[0025] The memory can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the adaptive adjustment method of the logistics goods fixing device in the embodiments of the present invention. The processor executes various functional applications and data processing by running the computer programs stored in the memory, that is, the above-mentioned adaptive adjustment method of the logistics goods fixing device is realized. The memory may include a high-speed random access memory and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory may further include a memory remotely disposed relative to the processor, and these remote memories may be connected to the mobile terminal through a network. Examples of the above network include, but are not limited to, the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0026] The transmission device is used to receive or send data via a network. Specific examples of the above-mentioned network may include a wireless network provided by a communication provider of a mobile terminal. In one example, the transmission device includes a network adapter (Network Interface Controller, abbreviated as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device may be a Radio Frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0027] The display device may be, for example, a touch-screen liquid crystal display (Liquid Crystal Display, LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display enables a user to interact with the user interface of the mobile terminal. In some embodiments, the above-mentioned mobile terminal has a graphical user interface (Graphical User Interface, GUI), and the user can perform human-computer interaction with the GUI through finger contacts and / or gestures on the touch-sensitive surface. The human-computer interaction function here may optionally include the following interactions: creating web pages, drawing, word processing, creating electronic documents, games, video conferencing, instant messaging, sending and receiving emails, call interfaces, playing digital videos, playing digital music, and / or web browsing, etc. The executable instructions for performing the above human-computer interaction functions are configured / stored in a computer program product or a readable storage medium executable by one or more processors.

[0028] Figure 1 is a flowchart of an adaptive adjustment method for a logistics cargo fixing device according to an embodiment of the present invention, as Figure 1 shown, the method includes the following steps:

[0029] Step S10, in response to the fixing device working start information, determine the stress state information of the strap. Wherein, the fixing device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safety state;

[0030] In step S10, in response to the start of the fixing device working, high-precision force sensors and strain sensors installed at the key contact points and tension transfer points of the strap start to continuously collect the force data of the strap and the strap parameters. Wherein, the strap parameters at least include: the elastic modulus, tensile strength, strap width, and strap length of the strap material. And transmit them to the terminal in real time by wireless or wired means. The terminal automatically records and stores the force data of the strap during each transportation process, providing data support for subsequent analysis and optimization.

[0031] Upon receiving the force data and strap parameters of the strap, to ensure the accuracy of subsequent analysis and the reliability of the response, preprocess the force data and strap parameters of the strap. The preprocessing process is as follows:

[0032] First, perform median filtering preprocessing. Median filtering is a non-linear filtering method mainly used to reduce the influence of random noise while keeping the main features of the signal unchanged. In the environment of logistics fixing devices, this is particularly applicable to processing the instantaneous noise or outliers that may exist in the force data of the strap to provide a smoother and more reliable data sequence.

[0033] Select a time window from the continuous force data stream. The window size should be large enough to cover the possible noise periods but not so large as to affect the real-time nature of the data. For each data point within the selected window, calculate the median of the surrounding data points and this point, that is, sort these data points by numerical value and select the value at the middle position as the value of the processed data point. Replace the original data point with the calculated median to obtain the filtered force data. This process also applies to the data preprocessing of the strap parameters to ensure that these parameters also have high precision in subsequent calculations.

[0034] Then, the filtered force data and the filtered strap parameters are further processed using the Kalman filtering method. The Kalman filter is an optimal recursive filtering algorithm based on the state space model and measurement data. It can not only smooth the signal but also predict the future signal state. The Kalman filter can integrate the dynamic changes of the strap force and the uncertainty of the strap parameters to provide more accurate real-time data.

[0035] Based on the working principles of the strap and the mechanical locking device, establish a dynamic model describing the force on the strap and its changes. The model should include the predicted state and updated state of the force data, as well as the strap parameters related to the force changes. Set the initial state of the filter, including the initial estimated values of the force data and the strap parameters, and the corresponding uncertainties. The Kalman filter iteratively processes the filtered force data and the strap parameters through two steps: prediction and update. The prediction step predicts the next state of the force based on the model; the update step uses the latest measurement data to correct the predicted state to obtain a more accurate estimated value. After being processed by the Kalman filter, it can output a smoothed and highly predictive processed force data and processed strap parameters, which are crucial for the adaptive control of the fixing device.

[0036] Calculate the real-time stress data at each detection point for the processed force data and the processed strap parameters through Hooke's law. Hooke's law describes the relationship between elastic deformation and stress of materials under different forces and is applicable to the calculation of various materials and complex stress states. In this scenario, it can calculate the corresponding stress values based on parameters such as the tension, elastic modulus, tensile strength, width, and length of the strap.

[0037] Periodically obtain the processed real-time stress data. As time goes by, accumulate several stress data points. Use these data points to plot the stress-strain curve of the strap. The stress-strain curve intuitively shows the strain situation of the strap under different stresses and is very valuable for evaluating the elastic range and safety status of the strap. Based on the above stress-strain curve, further calculate the slope change rate data. The slope change rate reflects the rate of stress change with strain and is an important indicator for judging whether the strap is approaching its elastic limit. Set a critical value of the slope change rate as the standard for distinguishing between the safe state and the risk state. This threshold should be determined based on the elastic modulus and safety factor of the strap material to ensure that within the normal working range, the slope change rate does not increase sharply.

[0038] When the calculated slope change rate L is greater than the preset threshold A, it is determined that the strap is in a risk state, that is, the strap may be approaching its load limit and there is a risk of breakage or causing the goods to move. At this time, the mechanism adjustment will be triggered immediately, such as increasing or decreasing the tension of the mechanical locking device, to quickly restore the stress to the safe range.

[0039] If the slope change rate L is less than or equal to the threshold A, that is, L ≤ A, it is determined that the strap is in a safe state. This means that the stress change of the strap is still within the expected range, the goods are fixed reliably, and there is no need for immediate intervention and adjustment.

[0040] It can continuously monitor the stress state of the strap to ensure the stability and safety of the goods during the entire transportation process. When the detected stress state exceeds the safe range, it can respond quickly, take necessary measures to adjust the strap tension, avoid potential risks, achieve dynamic and intelligent control of cargo fixation, and significantly improve transportation safety and efficiency.

[0041] Step S20, based on the stress state information, determine the adjustment mode, where the adjustment mode is used to adjust the real-time stress data of the strap to the target stress data, and the adjustment mode includes: adjustment mode and fixed mode;

[0042] In step S20, when the stress state information of the strap is determined to be in a risk state based on key indicators such as the rate of change of the stress-strain curve slope, it automatically switches to the adjustment mode. In this mode, the tension of the strap will be actively intervened, and the real-time stress data will be adjusted by dynamically adjusting the mechanical locking device, such as increasing or decreasing the locking force, to make it approach the target stress data. The target stress data should be set within a safe range to ensure that the strap will not be damaged due to excessive stress, nor will the goods be insecurely fixed due to too low stress.

[0043] When the stress state information shows a safe state, it will switch to the fixed mode. In this mode, the mechanical locking device keeps the current locking force unchanged unless new sensor data triggers the entry into the adjustment mode again. The fixed mode aims to maintain the stable state of the goods during transportation, reduce unnecessary energy consumption and mechanical wear, and at the same time ensure that the stress of the strap is maintained within a safe range.

[0044] Thus, based on the mechanism of automatically switching between the adjustment mode and the fixed mode according to the stress state information, the adaptive logistics goods fixation can optimize the operation efficiency and equipment durability while ensuring the safety of the goods.

[0045] Step S40, in response to the adjustment mode, generate a control instruction, and the control instruction is used to control the latch of the mechanical locking device to move to a target position adapted to the target stress data.

[0046] In step S40, the adjustment mode adopts various strategies to adjust the real-time stress data of the strap, including but not limited to: finely adjusting the output power of the hydraulic pump or motor to change the tension of the strap; adjusting the stiffness of the double spring damper to optimize the pressure distribution exerted by the strap on the goods; according to the specific situation of the goods, timely loosening or tightening the strap to ensure that the stress is uniform and meets the safety requirements.

[0047] In the process of implementing the adjustment mode, a closed-loop control strategy is adopted, continuously comparing the real-time stress data with the target stress data, and adjusting the control signal according to the difference until the real-time data stabilizes within the target range. This process ensures the timeliness and accuracy of the response.

[0048] In the adjustment mode, an intelligent protection mechanism is also built in, such as setting maximum and minimum stress limits to avoid accidental damage to the strap or goods during the adjustment process. For example, when the pressure exceeds the limit, the pressure relief is automatically triggered to avoid deformation of the goods or damage to the strap.

[0049] In step S40, in the fixed mode, maintaining the stress state in the fixed mode can ensure the stability of the goods under normal transportation conditions and avoid the efficiency decline caused by excessive adjustment.

[0050] Based on the above intelligent analysis and precise control, the adaptive logistics cargo fixation can flexibly respond to various situations during transportation, dynamically adjust the locking force, which not only improves the safety of cargo transportation but also optimizes the logistics efficiency.

[0051] Based on the above steps S10 to S40, in the embodiment of the present invention, in response to the start-up information of the fixing device, wherein the fixing device includes: a strap and a mechanical locking device, the stress state information of the strap is obtained. Based on the stress state information, an adjustment mode is determined. The adjustment mode is used to adjust the real-time stress data of the strap to the target stress data. In response to the adjustment mode, a control instruction is generated. The control instruction is used to control the lock of the mechanical locking device to move to a target position adapted to the target stress data, achieving real-time monitoring so that the device can immediately identify whether the strap is in a safe state or a risk state. Thus, the automatically generated control instruction ensures that the mechanical locking device can quickly and accurately move to a position adapted to the target stress data of the strap, thereby solving the technical problem of low overall efficiency of logistics operations caused by manual adjustment of existing logistics cargo fixing devices.

[0052] The method for adaptively adjusting a logistics cargo fixing device according to an embodiment of the present invention to determine the stress state information of the strap includes: obtaining the force data of the strap and the strap parameters, where the strap parameters at least include: the elastic modulus, tensile strength, width, and length of the strap material; based on the force data and the strap parameters, determining the stress state information. By obtaining the force data of the strap in real time, the stress condition of the strap can be immediately evaluated, quickly responding to changes in the cargo state or external disturbances during transportation, such as turning, braking, or road surface unevenness. By adjusting the mechanical locking device, it is ensured that the strap stress is within a safe range, avoiding cargo movement or damage.

[0053] Further, determining the stress state information based on the force data and the strap parameters includes: preprocessing the force data and the strap parameters to obtain the processed force data and the processed strap parameters; based on the processed force data and the processed strap parameters, determining the stress state information. Preprocessing the strap parameters, such as data verification and format unification, also helps to improve the consistency and usability of the data.

[0054] In this embodiment, the force data and strap parameters are preprocessed to obtain the processed force data and processed strap parameters, including: performing median filtering on the force data and strap parameters to obtain the filtered force data and filtered strap parameters; based on the filtered force data and filtered strap parameters, using the Kalman filtering method to obtain the processed force data and processed strap parameters. By performing noise reduction and smoothing processing on the original force data through techniques such as median filtering and Kalman filtering, random noise and errors in the signal can be removed, ensuring that subsequent analysis and calculations are based on accurate and reliable input data.

[0055] In an exemplary embodiment, based on the processed force data and processed strap parameters, stress state information is determined, including: based on the processed force data and processed strap parameters, using Hooke's law to determine real-time stress data; periodically obtaining a plurality of real-time stress data to obtain stress-strain curve data; based on the stress-strain curve data, determining stress state information. The preprocessed force data and strap parameters are more in line with the input requirements of Hooke's law and other physical models, and can calculate the stress state information of the strap more quickly and accurately. The improvement in response speed means that changes in the strap stress can be detected more quickly during transportation, and adjustment measures can be taken in a timely manner to ensure the safety of the goods.

[0056] Further, based on the stress-strain curve data, stress state information is determined, including: determining the stress-strain curve slope change rate data based on the stress-strain curve data; judging the stress-strain curve slope change rate data based on a preset slope threshold to obtain a judgment result; in response to the judgment result that L is greater than A, determining the stress state information as a risk state; in response to the judgment result that L ≤ A, determining the stress state information as a safe state; where the stress-strain curve slope change rate data is L and the preset slope threshold is A. By monitoring the slope change rate L, an abnormal increase in the strap stress can be immediately identified, and a quick response can be made to avoid damage to the goods due to excessive or insufficient locking force, improving the safety and reliability of logistics transportation. Based on the analysis of the stress-strain curve, dynamic adaptive adjustment can be realized, and the locking force can be adjusted according to the real-time stress state information to ensure the stability of the strap during transportation and the fixing effect of the goods, reducing manual intervention and improving operation efficiency. The monitoring and analysis of the stress-strain curve slope change rate L enhance the adaptability to complex transportation environments. Even under changing road conditions and cargo types, intelligent adjustment can be used to maintain the safety and stability of the fixed goods, improving the robustness and flexibility of logistics operations.

[0057] In this embodiment, based on the stress state information, the adjustment mode is determined, including: when the stress state information is in a risk state, the corresponding adjustment mode is the adjustment mode; when the stress state information is in a safe state, the corresponding adjustment mode is the fixed mode. By real-time monitoring the stress state of the strap and intelligently adjusting the locking force, the situation of cargo damage can be significantly reduced. In addition, the work burden of the operator is reduced, and the operation experience is improved.

[0058] Figure 2 Another adaptive adjustment method for a logistics cargo fixing device according to an embodiment of the present invention is as Figure 2 shown, and the method includes the following steps:

[0059] Step S201, in response to the fixing device working start information, obtain the force data of the strap and the strap parameters;

[0060] Step S202, preprocess the force data and the strap parameters to obtain the processed force data and the processed strap parameters;

[0061] Step S203, based on the filtered force data and the filtered strap parameters, adopt the Kalman filtering method to obtain the processed force data and the processed strap parameters;

[0062] Step S204, based on the processed force data and the processed strap parameters, adopt Hooke's law to determine the real-time stress data;

[0063] Step S205, periodically obtain a plurality of the real-time stress data to obtain stress-strain curve data;

[0064] Step S206, based on the stress-strain curve data, determine the stress-strain curve slope change rate data;

[0065] Step S207, based on a preset slope threshold, judge the stress-strain curve slope change rate data to obtain a judgment result;

[0066] Step S208, in response to the judgment result that L is greater than A, determine that the stress state information is the risk state;

[0067] Step S209, in response to the judgment result that L ≤ A, determine that the stress state information is the safe state;

[0068] Step S210, when the stress state information is the risk state, the corresponding adjustment mode is the adjustment mode;

[0069] Step S211, when the stress state information is the safe state, the corresponding adjustment mode is the fixed mode;

[0070] Step S212, generate a control instruction in response to the adjustment mode.

[0071] Based on the above-mentioned steps S201 to S211, in an embodiment of the present invention, in response to the fixed device operation start information, wherein the fixed device includes: a strap and a mechanical locking device, stress state information of the strap is obtained, and based on the stress state information, an adjustment mode is determined. The adjustment mode is used to adjust the real-time stress data of the strap to the target stress data. In response to the adjustment mode, a control instruction is generated. The control instruction is used to control the buckle of the mechanical locking device to move to a target position adapted to the target stress data, achieving real-time monitoring so that the device can immediately identify whether the strap is in a safe state or a risk state, and thus the automatically generated control instruction ensures that the mechanical locking device can quickly and accurately move to a position adapted to the target stress data of the strap, thereby solving the technical problem of low overall efficiency of logistics operations caused by manual adjustment of existing logistics cargo fixing devices.

[0072] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an 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. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in various embodiments of the present invention.

[0073] In an embodiment of the present invention, an adaptive adjustment device for a logistics cargo fixing device is also provided. This device is used to implement the above embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0074] Figure 3 is a structural block diagram of an adaptive adjustment device for a logistics cargo fixing device according to an embodiment of the present invention. As Figure 3 shown, the device includes:

[0075] An acquisition module 301, configured to determine the stress state information of the strap in response to the fixed device operation start information, wherein the fixed device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safe state;

[0076] An adjustment module 302 is configured to determine an adjustment mode based on the stress state information, where the adjustment mode is used to adjust the real-time stress data of the strap to target stress data, and the adjustment mode includes: an adjustment mode and a fixing mode;

[0077] An execution module 303 is configured to generate a control instruction in response to the adjustment mode, where the control instruction is used to control the buckle of the mechanical locking device to move to a target position adapted to the target stress data.

[0078] It should be noted that the above-mentioned modules can be implemented by software or hardware. For the latter, it can be implemented in the following ways, but not limited to this: the above-mentioned modules are all located in the same processor; or, the above-mentioned modules are respectively located in different processors in any combination form.

[0079] According to an embodiment of the present invention, an electronic device is further provided, including: a memory storing an executable program; a processor configured to run the program, where when the program runs, it executes the above-mentioned self-adaptive adjustment method for the logistics goods fixing device.

[0080] Optionally, in this embodiment, the above-mentioned processor can be set to execute the following steps through a computer program:

[0081] Step S1: In response to the fixing device working start information, determine the stress state information of the strap, where the fixing device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safety state;

[0082] Step S2: Based on the stress state information, determine an adjustment mode, where the adjustment mode is used to adjust the real-time stress data of the strap to target stress data, and the adjustment mode includes: an adjustment mode and a fixing mode;

[0083] Step S3: In response to the adjustment mode, generate a control instruction, where the control instruction is used to control the buckle of the mechanical locking device to move to a target position adapted to the target stress data.

[0084] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored executable program, where when the executable program runs, it controls the device where the storage medium is located to execute the above-mentioned self-adaptive adjustment method for the logistics goods fixing device.

[0085] Optionally, in this embodiment, the above-mentioned storage medium can be set to store a computer program for executing the following steps:

[0086] Step S1, in response to the fixed device operation start information, determine the stress state information of the strap, where the fixed device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safety state;

[0087] Step S2, based on the stress state information, determine an adjustment mode, where the adjustment mode is used to adjust the real-time stress data of the strap to the target stress data, and the adjustment mode includes: an adjustment mode and a fixed mode;

[0088] Step S3, in response to the adjustment mode, generate a control instruction, where the control instruction is used to control the buckle of the mechanical locking device to move to a target position adapted to the target stress data.

[0089] Optionally, in this embodiment, the above storage medium may include, but is not limited to: a USB flash drive, a read-only memory (ROM for short), a random access memory (RAM for short), a mobile hard disk, a magnetic disk, or an optical disc, etc., various media that can store computer programs.

[0090] According to one embodiment of the present invention, there is also provided a computer program product, including a computer program, where the computer program, when executed by a processor, implements the above-mentioned self-adaptive adjustment method for a logistics goods fixing device.

[0091] Optionally, in this embodiment, the above computer program product may be set to a computer program that executes the following steps:

[0092] Step S1, in response to the fixed device operation start information, determine the stress state information of the strap, where the fixed device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safety state;

[0093] Step S2, based on the stress state information, determine an adjustment mode, where the adjustment mode is used to adjust the real-time stress data of the strap to the target stress data, and the adjustment mode includes: an adjustment mode and a fixed mode;

[0094] Step S3, in response to the adjustment mode, generate a control instruction, where the control instruction is used to control the buckle of the mechanical locking device to move to a target position adapted to the target stress data.

[0095] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment will not be elaborated herein.

[0096] In the above embodiments of the present invention, the descriptions of the various embodiments each have their own emphasis. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0097] In several embodiments provided by the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of the units or modules can be in electrical or other forms.

[0098] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0099] In addition, the functional units in the various embodiments of the present invention can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0100] If the above-mentioned integrated unit is implemented in the form of 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 the present invention, in essence, or the part that contributes to the prior art, or all or part of this 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 enable a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The foregoing storage medium includes: USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks or optical disks, and other media that can store program codes.

[0101] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. An adaptive adjustment method for a logistics cargo fixing device, characterized in that, Including: In response to the fixed device working start information, determining the stress state information of the strap, where the fixed device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safety state; Based on the stress state information, determining an adjustment mode, where the adjustment mode is used to adjust the real-time stress data of the strap to target stress data, and the adjustment mode includes: an adjustment mode and a fixed mode; In response to the adjustment mode, generating a control instruction, where the control instruction is used to control the buckle of the mechanical locking device to move to a target position adapted to the target stress data.

2. The adaptive adjustment method of the logistics cargo fixing device according to claim 1, characterized in that Determining the stress state information of the strap includes: Obtaining the force data of the strap and strap parameters, where the strap parameters at least include: the elastic modulus, tensile strength, strap width, and strap length of the strap material; Based on the force data and the strap parameters, determining the stress state information.

3. The adaptive adjustment method of the logistics cargo fixing device according to claim 2, characterized in that Based on the force data and the strap parameters, determining the stress state information includes: Performing preprocessing on the force data and the strap parameters to obtain processed force data and processed strap parameters; Based on the processed force data and the processed strap parameters, determining the stress state information.

4. The adaptive adjustment method of the logistics cargo fixing device according to claim 3, characterized in that, Performing preprocessing on the force data and the strap parameters to obtain the processed force data and the processed strap parameters includes: Performing median filtering on the force data and the strap parameters to obtain filtered force data and filtered strap parameters; Based on the filtered force data and the filtered strap parameters, using the Kalman filtering method to obtain the processed force data and the processed strap parameters.

5. The adaptive adjustment method of the logistics cargo fixing device according to claim 3, wherein Based on the processed force data and the processed strap parameters, determining the stress state information includes: Based on the processed force data and the processed strap parameters, using Hooke's law to determine the real-time stress data; Periodically obtaining a plurality of the real-time stress data to obtain stress-strain curve data; Based on the stress-strain curve data, determining the stress state information.

6. The self - adaptive adjustment method of the logistics cargo fixing device according to claim 5, characterized in that, Based on the stress-strain curve data, determining the stress state information includes: Based on the stress-strain curve data, determining the stress-strain curve slope change rate data; Based on a preset slope threshold, judging the stress-strain curve slope change rate data to obtain a judgment result; In response to the judgment result being L greater than A, determining the stress state information to be the risk state; In response to the judgment result being L ≤ A, determining the stress state information to be the safety state; Where the stress-strain curve slope change rate data is L, and the preset slope threshold is A.

7. The adaptive adjustment method of the logistics cargo fixing device according to claim 1, characterized in that Based on the stress state information, determining the adjustment mode includes: When the stress state information is the risk state, the corresponding adjustment mode is the adjustment mode; When the stress state information is the safety state, the corresponding adjustment mode is the fixed mode.

8. An adaptive adjustment device for a logistics cargo fixing device, characterized in that, Including: An acquisition module, configured to determine stress state information of a strap in response to a fixing device operation start information, wherein the fixing device includes: a strap and a mechanical locking device, and the stress state information includes: a risk state and a safety state; An adjustment module, configured to determine an adjustment mode based on the stress state information, where the adjustment mode is used to adjust real-time stress data of the strap to target stress data, and the adjustment mode includes: an adjustment mode and a fixing mode; An execution module, configured to generate a control instruction in response to the adjustment mode, where the control instruction is used to control a lock of the mechanical locking device to move to a target position adapted to the target stress data.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein when the executable program runs, it controls the device where the storage medium is located to execute the adaptive adjustment method of the logistics goods fixing device according to any one of claims 1 to 7.

10. A computer program product, characterized in that, It includes a computer program, and when the computer program is executed by a processor, it implements the adaptive adjustment method of the logistics goods fixing device according to any one of claims 1 to 7.

Images