Method for controlling a hood lock cable, vehicle and computer readable storage medium

Abstract

The embodiment of the application provides a hood lock cable control method, a vehicle and a computer readable storage medium, the method comprises the following steps: obtaining multi-dimensional state data of the hood lock cable, wherein the multi-dimensional state data is used for representing the running state of the hood lock cable from multiple dimensions; based on the multi-dimensional state data, determining a multi-dimensional correction factor of the hood lock cable, and based on operation data of the hood lock cable, generating a control instruction of the hood lock cable; based on the multi-dimensional correction factor, correcting the control instruction; and driving the hood lock to switch states according to the corrected control instruction. The embodiment of the application solves the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

Description

Technical Field

[0001] This application relates to the field of vehicle component technology, and more specifically, to a control method for a hood lock cable, a vehicle, and a computer-readable storage medium. Background Technology

[0002] The hood lock, as an important component of the vehicle's safety system, primarily functions to secure the engine hood, preventing it from opening accidentally due to airflow or vibration during vehicle operation. It also allows users to easily open the hood when maintenance or refueling is needed. The hood lock is typically connected to a release handle or electronic switch inside the vehicle via a hood lock cable (e.g., a mechanical or electronic cable). The pulling action of the cable drives the hood lock actuator, thus switching between the locked and unlocked states.

[0003] However, existing hood lock cables lack intelligent analysis and control of multi-dimensional state data, mainly manifested in the following ways: asynchronous force during segmented disassembly leads to inaccurate control; lack of user operation recognition easily causes misoperation; fixed signal thresholds are difficult to adapt to low-temperature environments; and the output cannot be dynamically compensated based on cable wear. These issues result in the hood lock cables being unable to accurately adapt to complex working conditions, causing technical problems in the hood lock cables' inability to accurately control the hood lock's state switching.

[0004] There is currently no good solution to the above problems. Summary of the Invention

[0005] This application provides a control method for a hood lock cable, a vehicle, and a computer-readable storage medium to at least solve the technical problem that existing hood lock cables cannot control the hood lock to perform accurate state switching.

[0006] According to one aspect of the embodiments of this application, a control method for a hood lock cable is provided, comprising: acquiring multi-dimensional state data of the hood lock cable, wherein the multi-dimensional state data is used to characterize the operating state of the hood lock cable from multiple dimensions; determining multiple maintenance positive factors of the hood lock cable based on the multi-dimensional state data, and generating control commands for the hood lock cable based on operation data for the hood lock cable; correcting the control commands based on the multiple maintenance positive factors; and controlling the hood lock cable to drive the hood lock to switch states according to the corrected control commands.

[0007] Furthermore, the multidimensional state data includes at least the stress data of multiple sections of the hood lock cable, the ambient temperature data of the hood lock cable, and the wear data of the hood lock cable. The stress data is used to characterize the stress state of the hood lock cable in a section, the ambient temperature data is used to characterize the temperature of the environment in which the hood lock cable is located, and to characterize the temperature difference between different surface areas of the hood lock cable, and the wear data is used to characterize the surface wear degree of the hood lock cable.

[0008] Furthermore, the multiple maintenance positive factors include: a timing calibration factor, a temperature compensation factor, and a wear compensation factor. The timing calibration factor is used to characterize the relative lag relationship of the stress time in different sections of the hood lock cable. The temperature compensation factor is used to characterize the influence of ambient temperature data on the signal response threshold of the hood lock cable. The wear compensation factor is used to characterize the influence of the wear degree of the hood lock cable on the transmission efficiency of the hood lock cable. Based on multidimensional state data, the multiple maintenance positive factors of the hood lock cable are determined, including: determining the timing calibration factor based on the stress data of multiple sections in the multidimensional state data; determining the temperature compensation factor based on the ambient temperature data in the multidimensional state data; and determining the wear compensation factor based on the wear data in the multidimensional state data.

[0009] Furthermore, based on the force data of multiple segments in the multidimensional state data, a time-series calibration factor is determined, including: based on the force data of multiple segments within a time window, determining the tension change rate of multiple segments respectively, wherein the tension change rate is used to characterize the degree of force change of the segment within the time window; and determining the time-series calibration factor based on the tension change rate of two adjacent segments among the multiple segments.

[0010] Further, based on the tension change rate of two adjacent segments in multiple segments, a timing calibration factor is determined, including: in response to the tension change rate of the first segment being greater than a first tension threshold and the tension change rate of the second segment being greater than a second tension threshold, a timing calibration factor is generated, wherein the first tension threshold is less than the second tension threshold.

[0011] Furthermore, the ambient temperature data includes at least the ambient temperature and temperature gradient. The ambient temperature characterizes the temperature of the environment in which the hood lock cable is located, and the temperature gradient characterizes the temperature difference between different surface areas of the hood lock cable. Based on the ambient temperature data in the multidimensional state data, a temperature compensation factor is determined, including: determining a reference temperature compensation coefficient based on the ambient temperature, wherein the reference temperature compensation coefficient is used to correct the absolute offset of the signal response threshold of the hood lock cable; determining a gradient temperature compensation coefficient based on the temperature gradient, wherein the gradient temperature compensation coefficient is used to correct the local distribution deviation of the signal response threshold; and fusing the reference temperature compensation coefficient and the gradient temperature compensation coefficient to obtain the temperature compensation factor.

[0012] Furthermore, based on the wear data in the multidimensional state data, a wear compensation factor is determined, including: determining the surface wear area of ​​the hood lock cable based on the wear data; and determining the wear compensation factor based on the ratio between the surface wear area and the surface area of ​​the hood lock cable.

[0013] Furthermore, based on multiple maintenance positive factors, the control command is modified, including: modifying the signal delay parameter in the control command based on a timing calibration factor to obtain a modified signal delay parameter; modifying the signal response threshold in the control command based on a temperature compensation factor to obtain a modified signal response threshold; and modifying the signal output torque in the control command based on a wear compensation factor to obtain a modified signal output torque. The modified signal delay parameter, the modified signal response threshold, and the modified signal output torque are then integrated into the control command to obtain the modified control command.

[0014] Furthermore, in the process of correcting the signal output torque in the control command based on the wear compensation factor, the method further includes: in response to the wear compensation factor being greater than the wear compensation factor threshold, determining the frequency deviation rate of the hood lock cable based on the vibration frequency of the hood lock cable during operation and the reference vibration frequency of the hood lock cable, wherein the frequency deviation rate is used to characterize the degree of deviation of the dynamic mechanical characteristics of the hood lock cable during operation from the dynamic mechanical characteristics under the reference state; in response to the frequency deviation rate being greater than or equal to the frequency deviation rate threshold, generating a frequency compensation factor, wherein the frequency compensation factor is used to enhance the signal transmission strength of the control command.

[0015] Furthermore, before modifying the control command based on multiple maintenance positive factors, the method further includes: acquiring physiological characteristic data of the object being operated on the hood lock cable, wherein the physiological characteristic data is used to characterize the physiological state of the object being operated on; determining the emotional index of the object being operated on based on the physiological characteristic data; and adjusting the state switching sensitivity of the control command in response to the emotional index being greater than the emotional index threshold, thereby obtaining the adjusted control command.

[0016] Furthermore, based on the operation data for the hood lock cable, control instructions for the hood lock cable are generated, including: extracting operation stage labels and operation feature values ​​for the hood lock cable from the operation data, wherein the operation stage labels are used to identify the timing stage of the operation behavior of the operation object for the hood lock cable, and the operation feature values ​​are used to characterize the behavioral characteristics of the operation behavior of the operation object for the hood lock cable; and generating control instructions for the hood lock cable in response to the operation stage labels and operation feature values ​​satisfying the state switching conditions.

[0017] Furthermore, after controlling the hood lock cable to drive the hood lock to switch states according to the revised control instructions, the method further includes: acquiring the hood lock's state signal; in response to the state signal indicating that the hood lock is currently in the open state, determining the interval between the current open state and the previous open state of the hood lock; and in response to the interval being less than a duration threshold, generating a prompt message, wherein the prompt message is used to indicate that the hood lock is in an abnormal open state.

[0018] According to another aspect of the embodiments of this application, a vehicle is also provided, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of the embodiments of this application when it runs.

[0019] According to another aspect of the embodiments of this application, 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 computer-readable storage medium is located to perform the methods of various embodiments of the embodiments of this application.

[0020] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the methods in various embodiments of the embodiments of this application.

[0021] According to another aspect of the embodiments of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, implements the methods in various embodiments of the present application.

[0022] According to another aspect of the embodiments of this application, a computer program is also provided, which, when executed by a processor, implements the methods in the various embodiments of the embodiments of this application.

[0023] In this embodiment, by acquiring multi-dimensional state data of the hood lock cable and correcting the control command of the hood lock based on this multi-dimensional state data, the hood lock cable can be precisely controlled to drive the hood lock to switch states. By introducing multi-dimensional state data to correct the control command, the shortcomings of traditional fixed threshold control in adapting to environmental changes (e.g., extreme cold, high temperature) and component aging (e.g., wear, corrosion) are overcome. This significantly reduces the probability of the hood lock jamming or malfunctioning, avoids over-driving or under-driving under harsh working conditions, protects the cable and actuator, and achieves the goal of ensuring that the hood lock can be opened or closed smoothly under various extreme conditions. This achieves the technical effect of accurately switching the state of the hood lock, and solves the technical problem that the hood lock cable cannot control the hood lock to switch states accurately. Attached Figure Description

[0024] The accompanying drawings, which are included to provide a further understanding of the embodiments of this application and constitute a part of the embodiments of this application, illustrate exemplary embodiments of this application and, together with their descriptions, serve to explain the embodiments of this application and do not constitute an improper limitation of the embodiments of this application. In the drawings:

[0025] Figure 1 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 1 ;

[0026] Figure 2 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 2 ;

[0027] Figure 3 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 3 ;

[0028] Figure 4 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 4 ;

[0029] Figure 5 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 5 ;

[0030] Figure 6 This is a schematic diagram illustrating the working process of a hood lock cable adapter box with segmented disassembly function according to an embodiment of this application;

[0031] Figure 7 This is a schematic diagram of a control device for a machine cover locking cable according to an embodiment of this application. Detailed Implementation

[0032] To enable those skilled in the art to better understand the embodiments of this application, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the protection scope of the embodiments of this application.

[0033] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of the embodiments of this application 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 embodiments of the present application 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 non-exclusive inclusion; for example, a process, method, system, product, or device that includes 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 devices.

[0034] According to an embodiment of this application, a control method for a machine cover lock cable 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.

[0035] This embodiment provides a control method for the hood locking cable. Figure 1 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 1 ,like Figure 1 As shown, the process includes the following steps.

[0036] Step S101: Obtain multidimensional state data of the machine cover lock cable, wherein the multidimensional state data is used to characterize the operating state of the machine cover lock cable from multiple dimensions.

[0037] In the technical solution provided by step S101 in the embodiments of this application, the hood lock cable is a flexible steel transmission rope that connects the user's handle and the hood lock buckle.

[0038] In the technical solution provided by step S101 in the embodiments of this application, the multidimensional state data includes at least: the stress data of different sections of the hood lock cable, the ambient temperature data of the hood lock cable, and the wear data of the hood lock cable.

[0039] In this embodiment, the aforementioned hood lock cable is a steel flexible transmission rope. By monitoring the state of the steel flexible transmission rope (e.g., stress, wear, temperature) and intelligently adjusting the signal transmission logic for the hood lock cable, it can be ensured that the steel flexible transmission rope can be moved accurately and safely regardless of its state, driving the hood lock to open or close.

[0040] Step S102: Based on multi-dimensional state data, determine the multi-maintenance positive factors of the hood lock cable, and based on the operation data for the hood lock cable, generate control commands for the hood lock cable.

[0041] In the technical solution provided by step S102 of the embodiments of this application, the multiple maintenance positive factors include: a timing calibration factor, a temperature compensation factor, and a wear compensation factor. The timing calibration factor is used to dynamically regulate the signal transmission inside the adapter box based on the force changes in different sections of the hood lock cable; the temperature compensation factor is used to compensate the signal response threshold of the adapter box in real time based on changes in ambient temperature; and the wear compensation factor is used to optimize and adjust the output strength of the control command based on the wear feedback of the hood lock cable.

[0042] In the technical solution provided by step S102 in the embodiments of this application, the operation data can be the user-initiated operation action of switching the hood lock state, and the control signal corresponding to the operation action can be a button signal, a voice command, or an electronic key signal.

[0043] In the technical solution provided by step S102 in the embodiments of this application, the control command is used to identify the switching logic of the state of the hood lock cable during the user operation stage, and to adaptively adjust the state of the hood lock cable.

[0044] Optionally, a gesture recognition algorithm combined with time series analysis can be used to determine the user's actions, such as light pulling, heavy pushing, or continuous pressing, and these actions can be converted into cable state switching commands. For example, when the user attempts to unlock the hood lock cable for the first time, if the system detects that insufficient tension has been applied, it will immediately adjust the tension of the hood lock cable, prompting the user to apply more torque. This adjustment to the state switching logic can effectively prevent accidental operations from causing the hood lock cable to fail to unlock completely.

[0045] Step S103: Modify the control command based on multiple maintenance positive factors.

[0046] In the technical solution provided by step S103 of the embodiments of this application, the multiple maintenance positive factors include at least: a timing calibration factor, a temperature compensation factor, and a wear compensation factor. The timing calibration factor is used to correct the signal delay parameter in the control command to obtain a corrected signal delay parameter; the temperature compensation factor is used to correct the signal response threshold in the control command to obtain a corrected signal response threshold; and the wear compensation factor is used to correct the signal output torque in the control command to obtain a corrected signal output torque.

[0047] For example, if a low temperature environment is detected, the output torque is increased through a modified control command; if cable aging and wear are detected, the signal response threshold is adjusted through a modified control command to eliminate hysteresis.

[0048] Step S104: According to the revised control command, control the hood lock cable to drive the hood lock to switch states.

[0049] In the technical solution provided by step S104 in the embodiments of this application, the control command is controlled by the actuator of the hood lock cable. The actuator performs actions according to the control command and drives the hood lock cable to switch the state of the hood lock. The actuator can be a motor or an electromagnet. The state switching of the hood lock includes switching from the locked state to the open state, or switching from the open state to the locked state.

[0050] This embodiment comprehensively improves the reliability, security, and operability of the machine hood lock system. Intelligent control enables coordinated operation between components, overcoming the shortcomings of traditional single-control methods such as insufficient synchronization, frequent misoperations, significant temperature variations, and long-term failure. Furthermore, it improves system maintenance efficiency, reduces the frequency of manual inspection, and achieves more intelligent and efficient management of mechanical equipment.

[0051] In this embodiment, by acquiring multi-dimensional state data of the hood lock cable and correcting the control command of the hood lock based on the multi-dimensional state data, the hood lock cable can be precisely controlled to drive the hood lock to switch states. By introducing multi-dimensional state data to correct the control command, the defects of traditional fixed threshold control that cannot adapt to environmental changes (such as extreme cold or high temperature) and component aging (such as wear or corrosion) are overcome. The probability of the hood lock jamming or malfunctioning is significantly reduced, and over-driving or under-driving under harsh working conditions is avoided. The cable and actuator are protected, and the purpose of ensuring that the hood can be opened or closed smoothly under various extreme conditions is achieved. Thus, the technical effect of accurately switching the state of the hood lock is realized, thereby solving the technical problem that the hood lock cable cannot control the hood lock to switch states accurately.

[0052] The control method of the hood lock cable in the embodiments of this application will be further described below.

[0053] As an optional implementation, the multidimensional state data includes at least the stress data of multiple sections of the hood lock cable, the ambient temperature data of the hood lock cable, and the wear data of the hood lock cable. The stress data is used to characterize the stress state of the hood lock cable in a section, the ambient temperature data is used to characterize the temperature of the environment in which the hood lock cable is located, and to characterize the temperature difference between different surface areas of the hood lock cable, and the wear data is used to characterize the surface wear degree of the hood lock cable.

[0054] In this embodiment, the multidimensional state data covers three key physical dimensions: mechanics, thermal, and material loss. This provides sufficient data support for subsequent fine-tuning, avoids judgment bias caused by a single data source, and by distinguishing the effects of force, temperature, and wear, the control of the hood lock cable can specifically compensate for errors caused by different factors. This achieves the goal of ensuring that the hood can be opened or closed smoothly under various extreme conditions, thereby achieving the technical effect of accurately switching the state of the hood lock. This solves the technical problem that the hood lock cable cannot control the hood lock to accurately switch its state.

[0055] Optionally, the stress data for multiple sections includes: real-time tension data of the hood lock cable in different sections, collected by multiple strain sensors distributed on the hood lock cable near the operating end, the middle section and the locking end.

[0056] Optionally, the stress data for multiple sections is collected through a distributed sensor array, monitoring the stress on the hood lock cable in different sections. The signal transmission path and intensity are adjusted based on stress changes to ensure consistent response across different sections. For example, high-sensitivity pressure sensors and strain gauges are installed at each critical location to provide real-time feedback on the tension or compression of the hood lock cable. For instance, during the opening and closing of doors or the hood, the area near the hinge experiences greater stress. In this case, the system automatically enhances the stability of signal transmission in that area to prevent asynchronous operation due to signal lag or packet loss. This dynamic control ensures that the overall operation of the hood lock cable remains synchronized even during segmented disassembly.

[0057] Optionally, the ambient temperature data of the hood lock cable includes at least: the external ambient temperature and the temperature gradient. Multiple temperature sensors arranged on the surface of the outer sheath of the hood lock cable can be used to obtain the absolute ambient temperature and the temperature difference (i.e., temperature gradient) between different areas of the hood lock cable.

[0058] Optionally, an integrated temperature sensor can be used to monitor changes in the external environment temperature in real time and make corresponding corrections to the sensitivity based on a preset temperature-signal response curve. For example, when low temperatures harden the material of the hood lock cable and increase sliding resistance, the system will appropriately increase the response threshold to match the user's actual operating force.

[0059] For example, in low-temperature environments, the hood lock cable will undergo dimensional changes due to thermal expansion and contraction, resulting in a tighter pull on the hood lock and a difference in the driving force of the hood lock cable on the hood lock. Using this ambient temperature data, the control commands for driving the hood lock using the hood lock cable can be corrected to ensure that the state switching of the hood lock cable on the hood lock is the same as in normal temperature scenarios, thus maintaining consistent control accuracy.

[0060] Optionally, the wear data of the hood lock cable includes at least the surface abrasion area of ​​the hood lock cable, which can be estimated by optical sensors or algorithms based on motor current characteristics analysis to determine the surface wear degree and wear area of ​​the internal steel wires or outer sheath of the hood lock cable.

[0061] Optionally, by periodically checking the wear condition of the hood lock cable surface, the corresponding wear coefficient can be calculated and applied to the control algorithm. For example, after a certain period of use, if the system identifies obvious scratches and fatigue marks on the surface of the hood lock cable, it will automatically reduce the output intensity to match the current mechanical performance and reduce the difference in feel caused by the aging of mechanical parts.

[0062] As an optional implementation, the multiple maintenance positive factors include: a timing calibration factor, a temperature compensation factor, and a wear compensation factor. The timing calibration factor is used to characterize the relative lag relationship of the stress time of the hood lock cable in different sections. The temperature compensation factor is used to characterize the influence of ambient temperature data on the signal response threshold of the hood lock cable. The wear compensation factor is used to characterize the influence of the wear degree of the hood lock cable on the transmission efficiency of the hood lock cable. Based on multidimensional state data, the multiple maintenance positive factors of the hood lock cable are determined, including: determining the timing calibration factor based on the stress data of multiple sections in the multidimensional state data; determining the temperature compensation factor based on the ambient temperature data in the multidimensional state data; and determining the wear compensation factor based on the wear data in the multidimensional state data.

[0063] In this embodiment, complex physical phenomena are decoupled into independent correction factors, which facilitates modular management and maintenance of the algorithm and improves the scalability of the system. Among them, the timing calibration factor solves the dynamic response defects in mechanical transmission, and the temperature compensation factor and wear compensation factor solve the static and cumulative degradation defects. Based on the timing calibration factor, temperature compensation factor and wear compensation factor, the state of the hood lock cable can be compensated in all aspects. Then, based on the timing calibration factor, the control command is corrected so that the corrected control command can accurately drive the hood lock to change state. This achieves the goal of ensuring that the hood can be opened or closed smoothly under various extreme conditions, thereby achieving the technical effect of accurately switching the state of the hood lock. This solves the technical problem that the hood lock cable cannot control the hood lock to accurately switch state.

[0064] Optionally, a timing calibration factor is used to reflect the time difference in force transmission between different sections of the hood locking cable. For example, when the operating end is pulled, there is a slight elastic hysteresis in the force transmission to the locking end, and this factor is used to quantify this hysteresis relationship.

[0065] Optionally, a temperature compensation factor is used to quantify the effect of ambient temperature on the elastic modulus and signal response threshold of the hood lock cable material.

[0066] Optionally, a wear compensation factor is used to quantify the degree of reduction in transmission efficiency caused by wear of the internal structure of the machine cover lock cable.

[0067] Figure 2 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 2 ,like Figure 2 As shown, the time-series calibration factor is determined based on the force data of multiple segments in the multidimensional state data, including the following steps.

[0068] Step S201: Based on the force data of multiple segments within the time window, determine the tension change rate of multiple segments respectively, wherein the tension change rate is used to characterize the degree of force change of the segment within the time window.

[0069] Step S202: Determine the timing calibration factor based on the tension change rate of two adjacent segments in multiple segments.

[0070] In this embodiment, by using the temporal relationship of the tension change rate, the dynamic characteristics of the hood lock cable during movement can be captured more sensitively, preventing mechanical shock caused by excessively fast response or operational delay caused by excessively slow response. Furthermore, the timing calibration factor determined based on the temporal relationship of the tension change rate is more adaptable to the differences in materials and lengths of different hood lock cables compared to calibration based on absolute thresholds. Based on this timing calibration factor, the control command is corrected, enabling the corrected control command to accurately drive the hood lock to change state. This achieves the goal of ensuring that the hood can be opened or closed smoothly under various extreme conditions, thereby achieving the technical effect of accurately switching the state of the hood lock and solving the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

[0071] Optionally, a timing calibration factor is used to dynamically adjust the signal transmission inside the adapter box based on the force changes in different sections of the hood lock cable. Specifically, this includes: acquiring real-time tension data F1, F2, and F3 for different sections of the current hood lock cable; and calculating the tension change rate between each section: ΔF. i =(F i -F i-1 ) / Δt (where i=2,3, Δt is the time interval, corresponding to the time window); determine whether to start the synchronization compensation logic; according to the adjusted synchronization parameters, control the signal transmission delay in the control command to improve operational consistency.

[0072] It should be noted that F1, F2, and F3 represent the actual forces applied to three key sections, collected by sensors installed in each section of the hood lock cable. The values ​​typically range from 0 to 1000 Newtons, depending on the application environment. Their purpose is to provide real-time data support for subsequent analysis, ensuring the signal transmission system can quickly respond to changes in external forces. For example, in a car engine compartment, the hood lock cable may experience localized deformation due to external mechanical impact or prolonged use; real-time detection can identify this promptly.

[0073] It should be noted that the formula for calculating the rate of tension change between each section is used to measure the rate of tension change in each section of the machine cover locking cable within a specific time window. ΔF i The unit is Newtons per second (N / s), reflecting the dynamic stability of the machine hood lock cable. When ΔF i The larger the value, the more drastic the tension change. For example, when starting the engine, the hood lock cable may experience instantaneous tension fluctuations due to the motor's operation. This formula can be used to determine if there is an abnormality and take appropriate measures.

[0074] Optionally, a specific signal delay adjustment strategy can be determined based on a timing calibration factor to better match the actions of multiple components and reduce operational errors caused by lag. For example, during segmented disassembly, if a part of the hood lock cable is subjected to excessive pressure, the control system can adjust the delay to make the command transmission more precise, improve overall efficiency, and dynamically adjust the signal transmission behavior according to the actual working state of the hood lock cable. This enhances the system's adaptability and stability, reduces the risk of misoperation caused by mechanical vibration or structural changes, and improves safety and user experience.

[0075] As an optional example, after system startup, the maximum bearing capacity parameter F of each machine cover locking cable section is preloaded. max[i] (i=1,2,3); These parameters correspond to the three key sections of the hood locking cable, used to determine the maximum load that the section can withstand. The value range is usually determined based on the material strength test results, generally 1.2 to 1.5 times the design load, and the optimal value is dynamically adjusted according to the actual operating conditions. The purpose of this step is to provide a reliable reference threshold, which facilitates the subsequent identification of abnormal conditions.

[0076] Optionally, if a force value F is detected in a certain section [i] Greater than the corresponding F max[i] When the threshold reaches 90%, the system enters stress warning mode. This 90% threshold is set to identify potential risks early, triggering a warning before substantial equipment damage occurs, thus reducing the probability of system failure. [i] This indicates the real-time collected section tensile force data, measured in millinewtons or newtons, with an accuracy of ±1% or higher to ensure accurate detection.

[0077] Optionally, combining historical fault frequency ξ i and the current stress level F [i] Make predictions and calculate the system stability index S. t =(F [i] / F max[i] )+ξ i If S t Threshold T →Automatic degradation of the control logic is used to protect the system.

[0078] As an optional implementation, a timing calibration factor is determined based on the tension change rate of two adjacent segments in a plurality of segments, including: generating a timing calibration factor in response to the tension change rate of the first segment being greater than a first tension threshold and the tension change rate of the second segment being greater than a second tension threshold, wherein the first tension threshold is less than the second tension threshold.

[0079] In this embodiment, when the tension change rate of the first segment (near the operating end) exceeds a first tension threshold and the tension change rate of the second segment (near the locking end) exceeds a second tension threshold, the hood lock cable is considered to have entered an effective force transmission stage. Based on the characteristic that the first threshold is less than the second threshold, it can be determined that the tension wavefront of the hood lock cable has propagated stably. By calculating the time difference between the two segments reaching their respective thresholds, or based on the ratio of their change rates, a specific timing calibration factor is generated to correct the signal delay parameter in the control command. This effectively filters out false tension changes caused by slight vibrations or noise, ensuring that timing calibration is only performed during actual force transmission. The lower first tension threshold is used to capture the starting point, and the higher second tension threshold is used to confirm effective transmission. This design conforms to the physical laws of mechanical transmission, improves the reliability of the timing calibration factor, and then corrects the control command based on the timing calibration factor, so that the corrected control command can accurately drive the hood lock to change state. This achieves the goal of ensuring that the hood can be opened or closed smoothly under various extreme conditions, thereby achieving the technical effect of accurately switching the state of the hood lock. This solves the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

[0080] Optionally, if ΔF2 > threshold1 and ΔF3 > threshold2, synchronous calibration is enabled. Threshold1 and threshold2 are preset tension thresholds used to distinguish between normal and abnormal tension changes. Threshold1 and threshold2 represent the change thresholds for the second and third sections of the hood lock cable, respectively, typically set to around 50 N / s and 70 N / s. Specific settings need to be optimized based on actual operating conditions. This distinguishes between normal changes and abnormal situations that may affect operational consistency, preventing unnecessary intervention. For example, if both sections experience significant tension changes simultaneously, it indicates a potential risk of system coordination failure, triggering calibration to restore stable communication.

[0081] Optionally, when ΔF2 represents the rate of change of tension in the first segment, threshold1 can be a first tension threshold; when ΔF3 represents the rate of change of tension in the second segment, threshold2 can be a second tension threshold.

[0082] As an optional implementation, the ambient temperature data includes at least ambient temperature and temperature gradient. The ambient temperature characterizes the temperature of the environment in which the machine cover lock cable is located, and the temperature gradient characterizes the temperature difference between different surface areas of the machine cover lock cable. Based on the ambient temperature data in the multidimensional state data, a temperature compensation factor is determined, including: determining a reference temperature compensation coefficient based on the ambient temperature, wherein the reference temperature compensation coefficient is used to correct the absolute offset of the signal response threshold of the machine cover lock cable; determining a gradient temperature compensation coefficient based on the temperature gradient, wherein the gradient temperature compensation coefficient is used to correct the local distribution deviation of the signal response threshold; and fusing the reference temperature compensation coefficient and the gradient temperature compensation coefficient to obtain the temperature compensation factor.

[0083] In this embodiment, the overall drift of the signal response threshold is corrected based on the reference temperature compensation coefficient, and the local distortion of the signal response threshold is corrected based on the gradient temperature compensation coefficient. By fusing the reference temperature compensation coefficient and the gradient temperature compensation coefficient, three-dimensional compensation for temperature effects can be achieved. This compensation method not only considers the ambient temperature but also the effects of uneven temperature distribution (such as temperature gradients), avoiding deviations caused by local thermal stress. Furthermore, the control command is corrected based on this temperature compensation factor, enabling the corrected control command to accurately drive the hood lock to change state. This ensures that the hood can be smoothly opened or closed under various extreme conditions, thereby achieving the technical effect of accurately switching the state of the hood lock and solving the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

[0084] Optionally, a reference temperature compensation coefficient is determined based on the ambient temperature for real-time compensation of the junction box signal response threshold based on changes in ambient temperature, including: detecting the external ambient temperature T. env Set an initial response threshold R0, where R0 is the reference resistance value, representing the initial signal response under standard conditions. At the reference ambient temperature, R0 = 0V, and R0 will change with changes in ambient temperature. Use the compensation formula: R = R0 × (1 + α·(T)) env -T base In this context, R is the reference temperature compensation coefficient, α is the thermal sensitivity coefficient, used to characterize the effect of temperature changes on the signal, and T... base The standard temperature is (e.g., 20℃); if the compensated signal response threshold exceeds the upper limit R... max Then the restriction is R. max To prevent signal distortion and misjudgment at low temperatures.

[0085] Optionally, setting R0=0V is to ensure that the compensation formula accurately reflects the effect of temperature on the signal. For example, when the device is in a standard temperature environment, the signal response uses zero as a reference.

[0086] It should be noted that during the operation of the hood lock cable, temperature changes may affect the performance of electronic components, thereby affecting the accuracy of signal recognition. Therefore, real-time acquisition of temperature information is the basis for achieving accurate compensation.

[0087] For example, in one embodiment, a sensor is mounted on the surface of the hood lock cable adapter box to continuously monitor changes in the external ambient temperature.

[0088] Optionally, the heat sensitivity coefficient α typically ranges from 0.001 to 0.01, with the optimal value determined based on material properties and experimental data, generally taken as 0.002; T base The standard temperature is typically set to 25℃. This formula uses multiplication to adjust the signal threshold, ensuring it changes accordingly with temperature increases or decreases, thus avoiding misjudgments caused by temperature fluctuations. For example, under a certain low-temperature condition, if T... env Less than T base If this happens, the formula result will decrease, preventing premature triggering of the response.

[0089] It should be noted that the threshold value of the compensated signal response is limited to no more than the upper limit R. max This effectively ensures the system's stability under extreme temperature conditions. For example, in an environment of -20°C, if the response threshold calculated according to the formula exceeds the set maximum value, the system will automatically limit it to R. max This avoids false alarms caused by excessive sensitivity.

[0090] In this embodiment, determining the reference temperature compensation coefficient helps improve the accuracy and reliability of signal recognition of the hood lock cable under different environmental conditions, ensuring the safety and smoothness of hood lock operation.

[0091] Optionally, in the real-time compensation of the signal response threshold based on changes in ambient temperature, a temperature gradient compensation module is added. This module is used to determine the gradient temperature compensation coefficient based on the temperature gradient, including: measuring the temperature gradient dT / dz, where z represents the vertical height of the distance sensor; and determining the temperature compensation factor using a hierarchical compensation model: R(z) = R0 × [1 + α·(T env- T base )]+β·dT / dz, where R(z) is the temperature compensation factor, β is the gradient coefficient, and β·dT / dz is the gradient temperature compensation coefficient; the compensation error limit is defined as |ΔR|≤ΔR max Otherwise, a hardware alarm will be triggered; the compensation module will only be activated when the temperature is above zero degrees to prevent signal distortion caused by algorithm lag at low temperatures.

[0092] Optionally, the temperature gradient is obtained by installing multiple temperature sensors at different heights to capture the temperature difference as a function of height, reflecting the rate of change in local ambient temperature. The temperature gradient dT / dz is measured in °C / m, and its value is typically between 0 and 10 °C / m, used to quantify the temperature distribution in the vertical direction. Measuring this parameter can improve compensation accuracy and adapt to complex thermal field distributions. For example, in the use of a machine cover lock cable junction box, the top of the equipment may be hotter due to direct sunlight, while the bottom area near the ground may be cooler, resulting in a significant temperature gradient.

[0093] It should be noted that β is the gradient coefficient, with a value range of 0.1 to 1.0, which is used to adjust the effect of temperature gradient on the signal. β·dT / dz is the gradient temperature compensation coefficient.

[0094] In this embodiment, the calculation of the temperature compensation factor R(z) combines both ambient temperature and temperature gradient, making the signal response more accurate. For example, when the hood lock cable adapter box is operating in a hot environment, if the temperature above it rises and there is a significant temperature gradient, the system will automatically increase the signal threshold to ensure stable output.

[0095] It should be noted that ΔR max The compensation error is typically set between ±0.5Ω and ±1.5Ω to ensure stability under normal operating conditions. If the actual compensation error exceeds this range, it indicates an abnormality in the system, requiring an immediate alarm. This helps to troubleshoot problems promptly and prevent signal malfunctions or equipment damage.

[0096] Optionally, the aforementioned startup compensation module, i.e., the determination of the gradient temperature compensation coefficient, is only activated when the temperature is above zero degrees Celsius to prevent signal distortion caused by algorithm lag at low temperatures. When the ambient temperature is below 0°C, the algorithm may cause signal instability due to changes in material properties and response delays. This design avoids introducing unnecessary complexity under low humidity conditions, ensuring reliable system operation. For example, in extremely cold weather, the hood lock cable can switch to basic mode to ensure that critical signal transmission is not affected.

[0097] In this embodiment, a temperature compensation factor determined by both the reference temperature compensation coefficient and the gradient temperature compensation coefficient is used to correct the control command, which effectively improves the applicability of the hood lock cable in different environments and ensures signal stability and safety.

[0098] Figure 3 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 3 ,like Figure 3 As shown, based on the force data of multiple segments in the multidimensional state data, the time-series calibration factor is determined, including the following steps:

[0099] Step S301: Based on the wear data, determine the surface wear area of ​​the machine cover lock cable.

[0100] Step S302: Determine the wear compensation factor based on the ratio between the surface wear area and the surface area of ​​the machine cover lock cable.

[0101] In this embodiment, the wear compensation factor is determined based on the surface wear area of ​​the hood lock cable. This transforms the abstract degree of wear into a specific mathematical ratio, giving the compensation logic a clear physical meaning. As the vehicle's service life increases, the wear area of ​​the hood lock cable gradually accumulates, automatically increasing the compensation factor. This ensures that the user experience of the hood lock cable in older vehicles remains consistent with that of new vehicles, achieving the goal of ensuring smooth opening and closing of the hood under various extreme conditions. This achieves the technical effect of accurately switching the state of the hood lock, thereby solving the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

[0102] Optionally, the surface wear area of ​​the hood lock cable refers to the current size of the wear area of ​​the hood lock cable obtained using image recognition or sensor technology, used to quantify the severity of wear. A wear The range is typically from 0 to A. total Between, A total This represents the surface area of ​​the hood locking cable in its original, unworn state. Measurements must be accurate to avoid errors that could lead to deviations in subsequent calculations.

[0103] Alternatively, the wear compensation factor can be calculated using the formula: W=(A wear / A total ), where A wear A represents the surface wear area of ​​the machine hood lock cable. total is the original surface area of ​​the hood lock cable; W is the wear compensation factor, with a value range of [0,1], representing the change from no wear to complete wear. This formula uses normalization to uniformly measure hood lock cables of different sizes, providing a basis for subsequent parameter adjustments. For example, in one embodiment, if the original surface area of ​​the hood lock cable is 100 square millimeters and the wear area is 20 square millimeters, then the wear compensation factor W = 0.2.

[0104] Optionally, after determining the wear compensation factor, the target torque value can be further calculated: T set =T nom ×(1+β·W), where T set T represents the target torque value. nom This represents the torque value under standard operating conditions. β is a strength attenuation coefficient set according to the material and operating conditions, with its optimal value typically between 0.5 and 2. The formula introduces the product of W and β to make T... set The value should be appropriately increased as wear increases to compensate for the loss of operational performance due to decreased friction. For example, when W is 0.2 and β is 1, T... set Will be compared to T nom Increase by 20%.

[0105] Optionally, the control command for switching the state of the drive cover lock can be based on the actual friction force F. real With the target torque T set Calculations ensure consistent operating feel. By adjusting the output strength of the drive mechanism in real time, it avoids excessively light or heavy operation due to wear on the hood lock cable, thereby improving overall stability and safety.

[0106] In this embodiment, the control command is modified according to the wear compensation factor, which can dynamically adapt to the aging changes of the hood lock cable, ensure the stability of the opening and closing operation of the hood lock, reduce malfunctions and mechanical fatigue, extend the service life of the system, and improve the user's operating experience.

[0107] Figure 4 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 4 ,like Figure 4 As shown, the control commands are modified based on multiple maintenance positive factors, including the following steps:

[0108] Step S401: Based on the timing calibration factor, the signal delay parameter in the control command is corrected to obtain the corrected signal delay parameter; based on the temperature compensation factor, the signal response threshold in the control command is corrected to obtain the corrected signal response threshold; and based on the wear compensation factor, the signal output torque in the control command is corrected to obtain the corrected signal output torque.

[0109] In step S402, the corrected signal delay parameters, the corrected signal response threshold, and the corrected signal output torque are integrated into the control command to obtain the corrected control command.

[0110] In this embodiment, by correcting the signal delay parameter, the signal response threshold, and the signal output torque, and integrating the corrected signal delay parameter, signal response threshold, and signal output torque into the same control command, it can be ensured that all dimensions of correction are incorporated into the final control command. This ensures that the corrected control command can guarantee the stability of the hood lock's opening and closing operation, achieving the goal of ensuring that the hood can be opened or closed smoothly under various extreme conditions. This achieves the technical effect of accurately switching the state of the hood lock, thereby solving the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

[0111] Figure 5 This is a flowchart of the control method for the hood lock cable according to an embodiment of this application. Figure 5 ,like Figure 5 As shown, in the process of correcting the signal output torque in the control command based on the wear compensation factor, the method also includes the following steps:

[0112] Step S501: In response to the wear compensation factor being greater than the wear compensation factor threshold, the frequency deviation rate of the hood lock cable is determined based on the vibration frequency of the hood lock cable during operation and the reference vibration frequency of the hood lock cable. The frequency deviation rate is used to characterize the degree of deviation of the dynamic mechanical characteristics of the hood lock cable during operation from the dynamic mechanical characteristics under the reference state.

[0113] Step S502: In response to the frequency deviation rate being greater than or equal to the frequency deviation rate threshold, a frequency compensation factor is generated, wherein the frequency compensation factor is used to enhance the signal transmission strength of the control command.

[0114] In this embodiment, when the wear compensation factor is greater than the wear compensation factor threshold, it indicates severe wear of the hood lock cable. Therefore, the actual vibration frequency of the hood lock during operation is further monitored and compared with the reference vibration frequency under a reference state to calculate the frequency deviation rate. If the frequency deviation rate is greater than or equal to the frequency deviation rate threshold, it indicates a drastic change in the dynamic mechanical characteristics of the hood lock cable (e.g., risk of local breakage or severe jamming). In this case, a frequency compensation factor is generated. This frequency compensation factor is used to forcibly increase the signal output strength of the control command (e.g., peak current or voltage) to provide additional driving force to overcome abnormal resistance and prevent complete failure of the hood lock cable. It not only compensates for the increased resistance caused by wear but also identifies potential structural faults by monitoring deviations in dynamic mechanical characteristics through vibration frequency monitoring. This avoids the hood being unable to open or close due to insufficient power, improving safety in extreme situations and ensuring smooth opening or closing of the hood under various extreme conditions. This achieves the technical effect of accurately switching the state of the hood lock, thereby solving the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

[0115] As an optional example, the vibration frequency of the hood lock cable during operation includes: detecting the frequency of the vibration signal of the hood lock cable during operation, i.e., the vibration frequency f. peak This vibration frequency can be acquired by a sensor installed in the hood lock cable adapter box. This sensor collects vibration data generated by the hood lock cable during movement and extracts the peak value of the vibration frequency. The vibration frequency f... peak The value of f typically ranges from 50Hz to 200Hz, with the optimal value depending on the specific system's mechanical structure. peak It reflects the stress changes and condition characteristics of the machine cover locking cable during operation.

[0116] Optionally, the frequency deviation rate is calculated as: δf = (f peak -f base ) / f base , where f base It is the reference vibration frequency of the hood lock cable under ideal, wear-free conditions; the value is stable and close to the system design value. peak δf represents the peak value of the currently detected vibration frequency, while δf reflects the degree of deviation between the current state and the initial state. When δf is greater than or equal to 1, it indicates that the hood locking cable may be in a state of severe wear, causing a significant change in vibration characteristics. Setting δf helps to quickly identify abnormal wear conditions.

[0117] Optionally, if δf ≥ 1 and W > 0.2, strengthen the control commands for the actuator. Under this condition, it is determined that the hood lock cable is in a state of high wear, and the wear rate W (e.g., the proportion of grinding area or mass loss) exceeds a preset threshold. In this case, it is necessary to strengthen the drive commands sent by the control system to the actuator to improve reliability and ensure that safe locking or unlocking operations can still be achieved even with wear on the hood lock cable. The power of the strengthened control commands will be further adjusted according to the actual operating conditions.

[0118] Optionally, a maximum output constraint F can be set. max_control To avoid system damage caused by overloading under high wear conditions. max_contro This is a safety upper limit set to prevent breakage or structural damage caused by overload of the hood lock cable, with a typical range of 110% to 130% of normal output. This setting ensures stable system operation even in high-wear environments.

[0119] For example, in one embodiment, the engine hood lock cable of an aircraft experienced localized wear due to long-term use, resulting in f peak Compared to the original fundamental frequency f base The offset is large, thus triggering the δf threshold. At this point, the system detects that the W value has exceeded 0.2, indicating that the hood lock cable has entered a high-risk stage. Therefore, it automatically strengthens the control output and sets F... max_contro The design controls output torque to prevent safety accidents caused by breakage of the hood lock cable. This effectively extends equipment lifespan and improves operational safety and system stability.

[0120] As an alternative example, the method can also incorporate historical fault frequencies ξ. i and the current stress level F [i] Make predictions and calculate the system stability index S. t =(F [i] / F max[i] )+ξ i Among them, ξ i This indicates the probability of past faults occurring in this section, represented by a value between 0 and 1, where 0 indicates no faults and 1 indicates frequent faults; F [i] / F max[i] This is the stress ratio, reflecting the current load condition of the section. S t The higher the value, the more unstable the system. This formula comprehensively evaluates the health status of the system by weighting two influencing factors, and can detect hidden risks in a timely manner.

[0121] Optionally, if S t Threshold T If so, the control logic will automatically degrade to protect the system. Threshold TAn empirical threshold, such as 0.85, is set to represent the safe operating boundary, preventing operations under high-risk conditions from continuing. At this point, the system can shut down non-critical signal channels or reduce execution speed to ensure the safe operation of core components.

[0122] For example, in one embodiment, assuming the maximum load-bearing capacity of section 1 of the hood lock cable is 200N, the current tension is 185N, the historical failure frequency is 0.3, and the corresponding stability index is 0.925, which exceeds the threshold of 0.85, the system will automatically shut down the auxiliary functions related to this section and retain only the basic control signals to prevent the hood lock cable from suddenly breaking and causing an accident, effectively improving the reliability and service life of the system, while optimizing resource allocation and safety management.

[0123] As an optional implementation, before modifying the control command based on multiple maintenance positive factors, the method further includes: acquiring physiological characteristic data of the object being operated on the hood lock cable, wherein the physiological characteristic data is used to characterize the physiological state of the object being operated on; determining the emotional index of the object being operated on based on the physiological characteristic data; and adjusting the state switching sensitivity of the control command in response to the emotional index being greater than the emotional index threshold, thereby obtaining the adjusted control command.

[0124] In this embodiment, before modifying the control command, physiological characteristic data of the operation object (e.g., driver or passenger) can be obtained. Based on the physiological characteristic data, the algorithm model calculates the emotional index of the operation object (e.g., calm, anxious, angry). If the emotional index is greater than the emotional index threshold, it is determined that the user may want to operate quickly or is prone to frustration due to operation difficulties. Therefore, the sensitivity of the state switching of the control command is adjusted. The emotional index threshold is used to characterize the critical value of the emotional index when the user is in a certain emotional state (e.g., irritable or anxious). For example, providing more sensitive feedback when the user is anxious reduces the negative emotions caused by waiting or lag in operation, improves the overall humanized experience of the vehicle, and thus achieves the technical effect of accurately switching the state of the hood lock, thereby solving the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

[0125] For example, the hood lock action can be made more sensitive and rapid by shortening the response delay, increasing the initial torque output, or relaxing the judgment threshold, in order to match the user's urgent psychological expectations.

[0126] Optionally, the physiological characteristics of the person being operated on can be captured by an in-vehicle camera, such as facial expressions, heart rate (obtained via a steering wheel sensor), or voice tone.

[0127] Optionally, acquiring the physiological characteristic data of the user operating the hood lock cable includes: acquiring the user's heart rate (HR), a parameter reflecting the user's physiological stress level. HR is a value measured in real time by wearable devices or sensors, measured in beats per minute. The normal range is typically 60-100 beats per minute; values ​​exceeding this may indicate emotional fluctuations or a state of tension. In this step, the system first sets Baseline_HR to the user's average heart rate at rest. For example, in one embodiment, when the user experiences anxiety due to repeatedly attempting to operate the hood lock cable, the system detects a sudden increase in their HR, thus proceeding to the next judgment stage.

[0128] Optionally, based on physiological characteristic data, the emotional index of the target is determined by: if HR is greater than the baseline. HR And the number of consecutive operations C op If the value is greater than or equal to 3, the system will trigger the user's anxiety (i.e., emotion index) determination logic. op This value is used to record the number of operations a user completes within a short period of time. An increase in this value may indicate that the user is acting faster due to anxiety. For example, during a specific operation, if a user makes multiple mistakes within three operations and the HR value increases significantly, the system will determine that the user is in a state of anxiety, thereby triggering the next step to adjust the sensitivity of the switching logic.

[0129] Optionally, the user's motion rate v and hand temperature T are combined. hand Design a fatigue assessment model, with the formula: Fatigue Level =1e^(k v T hand ), where v is the user's operation speed, measured in operations per second; T hand The value represents the user's palm temperature in degrees Celsius; k is an empirical coefficient, typically between 0.01 and 0.1, with an optimal value of 0.05. This exponential function is designed based on the influence of physiological signals on operational stability; a high rate of motion coupled with low hand temperature may indicate fatigue, enabling the system to make a comprehensive judgment and improve response accuracy.

[0130] Optionally, when Fatigue Level Exceed Threshold F (Threshold) automatically reduces the sensitivity of the state switching logic of the hood lock cable, thereby reducing the probability of false triggering. For example, during the segmented disassembly of the hood lock cable, if the user operates improperly due to fatigue, the system adjusts the response parameters to avoid equipment damage or safety hazards caused by incorrect identification.

[0131] This embodiment not only improves the adaptability of human-computer interaction, but also enhances security and efficiency. In particular, when the user is in a state of anxiety or fatigue, the system can respond in a timely manner and make optimization decisions, thereby enhancing the user experience and operational stability.

[0132] As an optional implementation, a control command for the hood lock cable is generated based on the operation data for the hood lock cable, including: extracting operation stage tags and operation feature values ​​for the hood lock cable from the operation data, wherein the operation stage tags are used to identify the timing stage of the operation behavior of the operation object on the hood lock cable, and the operation feature values ​​are used to characterize the behavioral characteristics of the operation behavior of the operation object on the hood lock cable; and generating a control command for the hood lock cable in response to the operation stage tags and operation feature values ​​satisfying the state switching conditions.

[0133] In this embodiment, feature extraction is performed on the original operation data (e.g., button pressure, duration, sliding trajectory, etc.) to obtain the operation stage label of the timing stage of the operation behavior of the hood lock cable and the operation feature value of the behavior characteristics of the operation behavior of the hood lock cable. The system determines whether the operation stage label and operation feature value meet the preset state switching conditions. If they meet the conditions, it is determined to be a valid operation instruction, and a corresponding control instruction is generated; if they do not meet the conditions (e.g., accidental touch, light touch), no instruction is generated or a suppression instruction is generated to prevent misoperation. This effectively distinguishes between user intention operation and unintentional touch, improves the robustness of the system, and can accurately identify operation intentions, providing a data foundation for subsequent possible adaptive learning or personalized settings. This achieves the goal of ensuring that the hood can be opened or closed smoothly under various extreme conditions, thereby achieving the technical effect of accurately switching the state of the hood lock and solving the technical problem that the hood lock cable cannot control the hood lock to accurately switch states.

[0134] Optionally, the user's operation stage label S is: S∈{start-up stage, tracking stage, switching stage}, used to identify the timing stage of the operation object's operation on the machine cover lock cable, in order to determine the type of operation the user is currently performing.

[0135] Optionally, the user's operational characteristic value P is: P = (pressure level) The ratio of pressure applied (operation speed) to finger contact area is given, where the pressure is measured in Newtons (N), the operation speed in centimeters per second (cm / s), and the finger contact area in square centimeters (cm²). This parameter range is determined based on the specific application scenario; the preferred ranges are 1–5 N pressure, 2–8 cm / s operation speed, and 3–10 cm² finger contact area. 2 The optimal values ​​are: pressure of 3N, operating speed of 5cm / s, and finger contact area of ​​6cm². 2This method allows for the quantification of the intensity and persistence of user behavior.

[0136] Optionally, the state switching condition is: if P is greater than or equal to a preset threshold. P If the operation phase label indicates that the operation object's operation on the machine cover lock cable is in the tracking phase, then the state switching logic is activated, and the trigger result is compared with the current state of the equipment to avoid false triggering and ensure accurate switching.

[0137] For example, in one embodiment, when a user disassembles the hood lock cable adapter box in sections, the device recognizes that it is currently in the tracking phase and detects that the user-input operation feature value P equals 2.7, exceeding the set threshold Threshold. P =2.5, the system determines the state switch based on logic, so that the cover lock cable goes from the locked state to the unlocked state, realizing the automatic disassembly function, improving the accuracy and reliability of operation, enhancing the user experience, effectively reducing the accidental touch rate, and improving the safety and efficiency of the mechanical structure.

[0138] As an optional implementation, after controlling the hood lock cable to drive the hood lock to switch states according to the modified control instructions, the method further includes: acquiring a status signal of the hood lock; determining the interval between the current state of the hood lock and the previous state of the hood lock in response to the status signal indicating that the hood lock is currently in an open state; and generating a prompt message in response to the interval being less than a time threshold, wherein the prompt message is used to indicate that the hood lock is in an abnormal open state.

[0139] In this embodiment, after the hood lock is driven, the system reads the status signal of the hood lock (e.g., micro switch signal, position sensor signal). If the status signal indicates that the hood lock is in the open state, the system calls the internal clock to calculate the time interval between the current opening time and the previous opening time. If the interval is less than the time threshold, it indicates that the hood lock is frequently opening in a short period of time, and the system determines it to be an abnormal opening state (which may mean that the hood lock is malfunctioning and cannot be locked, or that the user is frequently checking). In this case, the system generates a prompt message (e.g., the dashboard displays "hood not locked warning" or "check hood lock") to remind the user. This allows the system to identify false opening or unlocking states caused by hood lock malfunctions, preventing the hood from accidentally popping open and causing accidents while the vehicle is in motion. This achieves the technical effect of accurately switching the state of the hood lock, thereby solving the technical problem that the hood lock cable cannot control the hood lock to accurately switch its state.

[0140] Optionally, acquiring the status signal of the hood lock includes: reading the hood status variable S through a sensor. mech (On / Off), where Smech A value of 'on' indicates that the hood lock is currently in the open state. mech A value of 'OFF' indicates that the hood lock is currently closed. The sensor can be a position sensor or a switch sensor, used to continuously monitor changes in the hood's status.

[0141] Optionally, determining the time interval between the current open state of the hood lock and the previous open state includes: recording the current time t0 and the previous opening time t0. last Time difference Δt = t0 - t last Δt is measured in seconds and is used to measure the time interval between two openings.

[0142] Optionally, T min This is a preset minimum opening time threshold (i.e., duration threshold), typically set between 10 and 30 seconds to avoid false alarms caused by repeated opening within a short period. If Δt <T min And S mech If the status is "on", it is considered an abnormal startup. In this case, an abnormal startup alarm should be triggered immediately to prevent users from ignoring the warning message due to frequent operations, and to improve the system's accuracy in identifying abnormal behavior.

[0143] Optionally, the alert message can be adjusted according to the alarm intensity level, such as using light or sound alerts. For example, a flashing red light could be used for low-intensity alerts, while a buzzer could be added for high-intensity alerts. This multi-level response mechanism can effectively reduce alarm delays and ensure timely alerts to users in different scenarios.

[0144] For example, in one embodiment, when the vehicle hood is briefly opened and then quickly closed by an unauthorized person, the system determines the opening and closing interval to be 5 seconds using Δt, which is less than the preset T. min (15 seconds) to determine abnormal operation and trigger light prompt warning, avoid potential safety hazards, improve the system's ability to perceive abnormal behavior, improve the accuracy and real-time performance of safety warnings, reduce false alarms, and enhance the overall safety and reliability of the equipment.

[0145] Optionally, in the embodiment of this application, when regulating the triggering logic of the safety warning mechanism based on the real-time detection results of the hood's opening and closing status, multi-channel redundancy verification is added. This allows for the simultaneous reading of status signals from two or more different sensors, forming a status matrix M=[S1,S2,S3]. This step improves the reliability of the data source by simultaneously collecting the hood's opening and closing status information from multiple sensors. For example, in a hood lock cable adapter box with segmented disassembly function, three different types of sensors can be installed on different parts of the hood to obtain its overall opening and closing status. The values ​​of S1, S2, and S3 are 0 (closed) or 1 (open), representing the current state sensed by the sensors.

[0146] Optionally, multiple signals can be fused using a Kalman filter algorithm to obtain a more stable system state estimate, S_est. This algorithm reduces the impact of random noise and improves judgment accuracy by dynamically weighting and averaging the signals from each channel. For example, if a sensor sends a brief erroneous signal due to interference, the Kalman filter can gradually correct the error based on other stable signals, ultimately outputting a more accurate state value. Parameters in the Kalman filter, such as the covariance matrix Q and R, need to be adjusted according to the actual noise characteristics of the system. Q is typically set to 0.01~0.1, and R to 0.1~0.5, used to balance the weights of model predictions and measurements.

[0147] Optionally, use a conditional statement to determine abnormal behavior: if(|S est -S1|>Error Tol `S1!=S2` → triggers a high-level warning. This judgment logic can quickly identify inconsistent input signals, avoiding false alarms or missed detections. For example, when the outputs of two main sensors are inconsistent or the estimated value deviates too much from a single signal, it is identified as a potential risk and a warning is triggered to prevent the equipment from continuing to operate in a faulty state.

[0148] In this embodiment, if the same fault event occurs repeatedly, the system is locked and maintenance personnel are notified, improving response efficiency, preventing system restarts due to intermittent errors, and ensuring timely problem handling. For example, after three consecutive identical anomalies, the system will automatically suspend operation and send an alarm message to the monitoring center, thereby improving safety and maintenance efficiency.

[0149] As an optional embodiment, the status signal of the hood lock can be the real-time detection result of the hood's open / closed state. Based on this real-time detection result, the triggering logic of the safety warning mechanism can be adjusted. Optionally, photoelectric sensors and displacement sensors are used to monitor the position of the hood in real time. Once abnormal opening behavior is detected (e.g., forced opening, sudden detachment, etc.), an audible and visual alarm is immediately triggered to remind the operator to take emergency measures. For example, when the hood is not fully closed but the system detects an approaching vehicle, a dual verification mechanism will be automatically activated to prevent accidental start or collision risks.

[0150] The above technical solutions of the present application will be further illustrated below with reference to preferred embodiments of the present application.

[0151] This application also provides a hood lock cable adapter box with segmented disassembly function for implementing a control method for hood lock cables. The aim is to achieve signal transmission control of the hood lock cable when the force changes in different sections through intelligent regulation, ensuring synchronous operation during segmented disassembly. It dynamically adjusts signal transmission parameters by sensing the force state of each section of the hood lock cable to avoid operational synchronization issues. Simultaneously, it optimizes the hood lock cable state switching logic using user operation stage recognition technology to prevent unlocking failures caused by misoperation. For changes in ambient temperature, the system can automatically adjust the signal response threshold to prevent signal misjudgment at low temperatures. It also adjusts the control command output strength by monitoring the wear condition of the hood lock cable to maintain consistent operating feel over long-term use. Finally, based on real-time detection of the hood opening and closing status, it intelligently regulates the safety warning mechanism to improve the timeliness and accuracy of abnormal opening alarms.

[0152] First, sensors monitor the stress on each section of the hood lock cable in real time and feed this data back to the control system. This dynamically adjusts the sensitivity and response mode of the signal transmission inside the adapter box, ensuring precise synchronous control under different load conditions and solving the problem of lost control synchronization during segmented disassembly. Second, the system intelligently identifies the user's operation stage (e.g., unlocking, closing, forced opening) and adaptively adjusts the hood lock cable state switching logic accordingly to prevent incomplete unlocking due to misoperation. Third, an ambient temperature sensor obtains the current temperature value, and a preset temperature compensation algorithm dynamically corrects the signal response threshold, reducing the probability of signal misjudgment in low-temperature environments and improving system reliability and stability. Simultaneously, the system continuously monitors the wear of the hood lock cable and optimizes the control command output strength based on wear feedback, maintaining good operability and response consistency even after long-term use. Finally, by real-time detection of the hood's opening and closing status, the system dynamically adjusts the triggering logic of the safety warning mechanism, enabling rapid detection and timely alarms for abnormal opening situations, avoiding safety hazards caused by delayed alarms. In summary, this system achieves intelligent control of the hood lock cable system from multiple dimensions, improving the overall performance of the system and the user experience.

[0153] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the embodiments of this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0154] Figure 6 This is a schematic diagram illustrating the workflow of a hood lock cable adapter box with segmented disassembly function according to an embodiment of this application, as shown below. Figure 6 As shown, the process includes: step S601, dynamically controlling the signal transmission inside the adapter box according to the force changes in different sections of the hood lock cable; step S602, adaptively adjusting the hood lock cable state switching logic based on user operation stage identification; step S603, real-time compensation for the signal response threshold of the adapter box based on changes in ambient temperature; and step S604, optimizing and adjusting the output strength of the control command based on feedback of the wear degree of the hood lock cable.

[0155] In this embodiment, the signal transmission inside the adapter box can be controlled according to the force changes in different sections of the hood lock cable to solve the problem of loss of control synchronization during segmented disassembly; the state switching logic of the hood lock cable can be controlled according to the user operation stage to solve the problem of incomplete unlocking due to misoperation; the signal response threshold of the adapter box can be controlled according to the change of ambient temperature to solve the problem of signal misjudgment in low temperature environment; the output strength of the control command can be controlled according to the wear feedback of the hood lock cable to solve the problem of inconsistent operation feel after long-term use; and the triggering logic of the safety warning mechanism can be controlled according to the real-time detection results of the hood opening and closing status to solve the problem of delayed alarm for abnormal opening.

[0156] According to an embodiment of this application, a control device for a machine hood lock cable is provided. It should be noted that this device can be used to execute the above-described method for controlling the machine hood lock cable.

[0157] Figure 7 This is a schematic diagram of a control device for a machine hood locking cable according to an embodiment of this application, as shown below. Figure 7 As shown, the control device 700 for the hood lock cable includes: an acquisition module 701, used to acquire multi-dimensional state data of the hood lock cable, wherein the multi-dimensional state data is used to characterize the operating state of the hood lock cable from multiple dimensions; a determination module 702, used to determine multiple maintenance positive factors of the hood lock cable based on the multi-dimensional state data, and to generate control commands for the hood lock cable based on operation data for the hood lock cable; a correction module 703, used to correct the control commands based on the multiple maintenance positive factors; and a control module 704, used to control the hood lock cable to drive the hood lock to switch states according to the corrected control commands.

[0158] In this embodiment, by acquiring multi-dimensional state data of the hood lock cable and correcting the control command of the hood lock based on the multi-dimensional state data, the hood lock cable can be precisely controlled to drive the hood lock to switch states. By introducing multi-dimensional state data to correct the control command, the defects of traditional fixed threshold control that cannot adapt to environmental changes (e.g., extreme cold, high temperature) and component aging (e.g., wear, corrosion) are overcome. The probability of the hood lock jamming or malfunction is significantly reduced, and over-driving or under-driving under harsh working conditions is avoided. The cable and actuator are protected, and the purpose of ensuring that the hood can be opened or closed smoothly under various extreme conditions is achieved. Thus, the technical effect of accurately switching the state of the hood lock is realized, thereby solving the technical problem that the hood lock cable cannot control the hood lock to switch states accurately.

[0159] An embodiment of this application also provides a vehicle, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods of various embodiments of this application during runtime.

[0160] This application also provides a computer-readable storage medium that includes a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to execute the methods of various embodiments of this application.

[0161] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the methods of various embodiments of this application.

[0162] This application also provides a computer program product, including a non-volatile computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the methods in various embodiments of this application.

[0163] The embodiments of this application also provide a computer program that, when executed by a processor, implements the methods described in the various embodiments of this application.

[0164] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0165] 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 instance, 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 coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection of units or modules may be electrical or other forms.

[0166] 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.

[0167] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0168] 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 application embodiment, 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 described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0169] The above description is only a preferred embodiment of the present application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present application embodiments, and these improvements and modifications should also be considered as the protection scope of the present application embodiments.

Claims

1. A control method for a machine hood locking cable, characterized in that, include: Acquire multidimensional state data of the machine cover locking cable, wherein the multidimensional state data is used to characterize the operating state of the machine cover locking cable from multiple dimensions; Based on the multidimensional state data, the multi-maintenance positive factor of the hood lock cable is determined, and based on the operation data for the hood lock cable, control commands for the hood lock cable are generated. Based on the aforementioned multiple maintenance positive factors, the control command is modified; According to the revised control command, the hood lock cable is controlled to drive the hood lock to switch states.

2. The method according to claim 1, characterized in that, The multidimensional state data includes at least the stress data of multiple sections of the hood lock cable, the ambient temperature data of the hood lock cable, and the wear data of the hood lock cable. The stress data is used to characterize the stress state of the hood lock cable in the section. The ambient temperature data is used to characterize the temperature of the environment in which the hood lock cable is located and to characterize the temperature difference between different surface areas of the hood lock cable. The wear data is used to characterize the surface wear degree of the hood lock cable.

3. The method according to claim 2, characterized in that, The multiple maintenance positive factors include: a timing calibration factor, a temperature compensation factor, and a wear compensation factor. The timing calibration factor characterizes the relative lag of the stress time of the hood lock cable in different sections. The temperature compensation factor characterizes the influence of the ambient temperature data on the signal response threshold of the hood lock cable. The wear compensation factor characterizes the influence of the wear degree of the hood lock cable on the transmission efficiency of the hood lock cable. Based on the multidimensional state data, the multiple maintenance positive factors of the hood lock cable are determined, including: The time-series calibration factor is determined based on the force data of multiple segments in the multidimensional state data. The temperature compensation factor is determined based on the ambient temperature data in the multidimensional state data; The wear compensation factor is determined based on the wear data in the multidimensional state data.

4. The method according to claim 3, characterized in that, Based on the force data of multiple segments in the multidimensional state data, the time-series calibration factor is determined, including: Based on the force data of multiple segments within a time window, the tension change rate of multiple segments is determined respectively, wherein the tension change rate is used to characterize the degree of force change of the segment within the time window; The timing calibration factor is determined based on the rate of change of tension between two adjacent segments in the plurality of segments.

5. The method according to claim 4, characterized in that, The timing calibration factor is determined based on the tension change rate between two adjacent segments in a plurality of segments, including: In response to the tension change rate of a first segment being greater than a first tension threshold and the tension change rate of a second segment being greater than a second tension threshold in two adjacent segments of the plurality of segments, the timing calibration factor is generated, wherein the first tension threshold is less than the second tension threshold.

6. The method according to claim 3, characterized in that, The ambient temperature data includes at least ambient temperature and temperature gradient. The ambient temperature characterizes the temperature of the environment in which the hood lock cable is located, and the temperature gradient characterizes the temperature difference between different surface areas of the hood lock cable. Based on the ambient temperature data in the multidimensional state data, the temperature compensation factor is determined, including: Based on the ambient temperature, a reference temperature compensation coefficient is determined, wherein the reference temperature compensation coefficient is used to correct the absolute offset of the signal response threshold of the hood lock cable; Based on the temperature gradient, a gradient temperature compensation coefficient is determined, wherein the gradient temperature compensation coefficient is used to correct the local distribution deviation of the signal response threshold; The temperature compensation factor is obtained by fusing the reference temperature compensation coefficient and the gradient temperature compensation coefficient.

7. The method according to claim 3, characterized in that, Based on the wear data in the multidimensional state data, the wear compensation factor is determined, including: Based on the wear data, determine the surface wear area of ​​the hood lock cable; The wear compensation factor is determined based on the ratio between the surface wear area and the surface area of ​​the hood lock cable.

8. The method according to claim 3, characterized in that, Based on the aforementioned multiple maintenance positive factors, the control command is modified, including: Based on the timing calibration factor, the signal delay parameter in the control command is corrected to obtain the corrected signal delay parameter; based on the temperature compensation factor, the signal response threshold in the control command is corrected to obtain the corrected signal response threshold; and based on the wear compensation factor, the signal output torque in the control command is corrected to obtain the corrected signal output torque. The corrected signal delay parameter, the corrected signal response threshold, and the corrected signal output torque are integrated into the control command to obtain the corrected control command.

9. The method according to claim 8, characterized in that, In the process of correcting the signal output torque in the control command based on the wear compensation factor, the method further includes: In response to the wear compensation factor being greater than the wear compensation factor threshold, the frequency deviation rate of the hood lock cable is determined based on the vibration frequency of the hood lock cable during operation and the reference vibration frequency of the hood lock cable. The frequency deviation rate is used to characterize the degree of deviation of the dynamic mechanical characteristics of the hood lock cable during operation from the dynamic mechanical characteristics under the reference state. In response to the frequency deviation rate being greater than or equal to a frequency deviation rate threshold, a frequency compensation factor is generated, wherein the frequency compensation factor is used to enhance the signal transmission strength of the control command.

10. The method according to claim 8, characterized in that, Before modifying the control command based on the multiple maintenance positive factors, the method further includes: Obtain physiological characteristic data of the object being operated on by the machine cover lock cable, wherein the physiological characteristic data is used to characterize the physiological state of the object being operated on; Based on the physiological characteristic data, the emotional index of the operation object is determined; In response to the emotion index being greater than the emotion index threshold, the sensitivity of the state switching of the control command is adjusted to obtain the adjusted control command.

11. The method according to claim 1, characterized in that, Based on the operational data for the hood lock cable, control commands for the hood lock cable are generated, including: From the operation data, operation stage labels and operation feature values ​​for the machine cover lock cable are extracted. The operation stage labels are used to identify the time sequence stage of the operation behavior of the operation object on the machine cover lock cable, and the operation feature values ​​are used to characterize the behavioral characteristics of the operation behavior of the operation object on the machine cover lock cable. In response to the operation stage label and the operation feature value satisfying the state switching condition, the control command for the machine cover locking cable is generated.

12. The method according to any one of claims 1 to 11, characterized in that, After controlling the hood lock cable to switch states according to the revised control command, the method further includes: Obtain the status signal of the hood lock; In response to the status signal indicating that the hood lock is currently in the open state, the time interval between the current open state of the hood lock and the previous open state of the hood lock is determined; In response to the interval duration being less than a duration threshold, a prompt message is generated, wherein the prompt message is used to indicate that the hood lock is in an abnormal open state.

13. A vehicle, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program, when running, performs the method according to any one of claims 1 to 12.

14. 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 on which the storage medium is located to perform the method according to any one of claims 1 to 12.

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