Communication control method and system for host of intelligent safety belt and hook device

Abstract

The application provides a host of an intelligent safety belt and a communication control method and system of a hook device, relates to the technical field of control signals, and the method comprises the following steps: a communication control architecture is used, communication control deployment is performed, and communication control and management of the host and the hook device in a multi-job mode are executed; the communication control and management steps comprise the following steps: a front-end sensing array collects real-time state data, transmits the real-time state data back to an MCU through a communication bus; the MCU generates a regulation signal through state assessment; a mode switching engine receives the regulation signal, decouples based on a bridge thread, and generates a bridge regulation signal; a bridge thread of a bridge control module directionally receives the bridge regulation signal, and performs bridge thread cooperative regulation management. The application solves the technical problem that the intelligent safety belt in the prior art can only trigger a fixed control mode according to simple sensing data, cannot make accurate and personalized adjustment in a complex environment, and cannot provide optimal safety protection.

Description

Technical Field

[0001] This invention relates to the field of control signal technology, and more specifically to a communication control method and system for the host and hook device of a smart seat belt. Background Technology

[0002] Intelligent safety belts are devices used to improve personnel safety in industries such as power, construction, ports, petrochemicals, and steel towers. Traditional safety belt designs rely primarily on physical structures and mechanical methods for control, such as manually adjusting the tightness or looseness of the belt to meet the needs of different users. However, with technological advancements and increasing demands for personnel safety, traditional safety belts can no longer meet the needs for efficient and intelligent safety protection. Most existing intelligent safety belts can only trigger fixed control modes based on simple sensor data. This means that when environmental changes are significant, the system's responsiveness is limited, failing to provide precise and personalized adjustments, thus preventing users from obtaining optimal safety protection in different modes. Summary of the Invention

[0003] This application provides a communication control method and system for the host and hook device of a smart seat belt, which aims to solve the technical problem that most existing smart seat belts can only trigger fixed control modes based on simple sensor data, and cannot make precise and personalized adjustments in complex environments, thus failing to provide optimal safety protection.

[0004] The first aspect disclosed in this application provides a communication control method for a smart seatbelt's host and hook device. The method includes: employing a communication control architecture, deploying communication control, and executing communication control management between the host and hook device under multiple operating modes. The communication control architecture consists of an MCU establishing communication connections with a front-end sensor array, a mode switching engine, and a bridging control module. The communication control management steps include: the front-end sensor array collecting real-time status data and transmitting it back to the MCU via a communication bus; the MCU performing status assessment and generating a control signal, wherein the control signal is a same-mode adjustment type or a mode-switching adjustment type; and the mode switching engine receiving the control signal and performing basic... A bridging control signal is generated by decoupling the bridging threads; the bridging threads of the bridging control module receive the bridging control signal in a directional manner to perform coordinated control and management of the bridging threads under the multi-operation mode; wherein, the bridging control module consists of a first bridging thread, a second bridging thread, a third bridging thread, and a fourth bridging thread connected in parallel; the first bridging thread consists of a longitudinal control module, an H-bridge one drive circuit, and a receiving / discharging mechanism; the second bridging thread consists of a lateral stabilization module, an H-bridge two drive circuit, and a damping actuator; the third bridging thread consists of a fall protection module, an H-bridge three drive circuit, and a buffer component; the fourth bridging thread consists of a hook safety module, an H-bridge four drive circuit, and a hook locking component.

[0005] The second aspect of this application discloses a communication control system for a smart seatbelt's host and hook device. This system is used in the aforementioned communication control method for the smart seatbelt's host and hook device. The system includes a communication control and management unit, configured to employ a communication control architecture, deploy communication control, and execute communication control and management between the host and hook device under multiple operating modes. The communication control architecture consists of a communication connection established between an MCU and a front-end sensor array, a mode switching engine, and a bridging control module. The communication control and management steps include: the front-end sensor array collecting real-time status data and transmitting it back to the MCU via a communication bus; the MCU performing status assessment and generating control signals, wherein the control signals are either same-mode adjustment or mode-switching adjustment. The mode switching engine receives the control signal, performs decoupling based on the bridging thread, and generates a bridging control signal; the bridging thread of the bridging control module receives the bridging control signal in a directional manner and performs coordinated control and management of the bridging thread in the multi-operation mode; wherein, the bridging control module consists of a first bridging thread, a second bridging thread, a third bridging thread, and a fourth bridging thread connected in parallel; the first bridging thread consists of a longitudinal control module, an H-bridge one drive circuit, and a receiving / discharging mechanism; the second bridging thread consists of a lateral stabilization module, an H-bridge two drive circuit, and a damping actuator; the third bridging thread consists of a fall protection module, an H-bridge three drive circuit, and a buffer component; the fourth bridging thread consists of a hook safety module, an H-bridge four drive circuit, and a hook locking component.

[0006] One or more technical solutions provided in this application have at least the following beneficial effects:

[0007] The intelligent seatbelt's communication control architecture consists of an MCU, a front-end sensor array, a mode switching engine, and a bridge control module. Real-time data transmission and control coordination between these modules are achieved via a communication bus. This architecture efficiently manages communication between the host and the hook device, especially during switching and adjustment across multiple operating modes. The front-end sensor array collects real-time status data from the system and transmits it back to the MCU via the communication bus, providing accurate and timely data support for subsequent adjustments and reducing lag and inaccurate data feedback. The MCU evaluates the status of the real-time data from the front-end sensor array and generates control signals. These signals are divided into same-mode adjustment and mode-switching adjustment types. Same-mode adjustment signals are used for fine-tuning within the same mode. The switching adjustment class is used for control when switching between different modes. Through this dynamic adjustment, it can cope with various working environments and meet the requirements of the seat belt for different working modes. The mode switching engine receives the control signal and coordinates based on the decoupling rules of the bridging thread to generate bridging control signal, which is used to adjust the working state of each bridging thread, so that the system can operate efficiently and stably and flexibly cope with changing working environments. The bridging control module's bridging thread receives the bridging control signal and performs thread collaborative control management in multiple working modes. The H-bridge drive circuit, as the core control module, controls the working state of the motor to realize functions such as webbing retraction and extension, lateral stabilization, buffering, and locking, thereby improving the system's energy efficiency and making the system response faster.

[0008] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below. Attached Figure Description

[0009] Figure 1 This is a schematic flowchart illustrating the communication control method between the host and hook device of the smart seat belt provided in this embodiment of the application.

[0010] Figure 2 A schematic diagram of the communication control system structure between the host and hook device of the smart seat belt provided in this application embodiment.

[0011] Figure 3 This is a schematic diagram of the communication control architecture in the communication control system of the host and hook device of the smart seat belt provided in the embodiments of this application.

[0012] Explanation of reference numerals in the attached diagram: Communication control and management unit 10, MCU 21, front-end sensor array 22, mode switching engine 23, bridging control module 24. Detailed Implementation

[0013] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0014] Example 1, as Figure 1 As shown in the figure, this application embodiment provides a communication control method between the host and hook device of a smart seat belt, the method including:

[0015] A communication control architecture is adopted for communication control deployment, and communication control and management between the host and the hook device are executed under multiple operating modes. The communication control architecture consists of a communication connection established between the MCU and the front-end sensor array, the mode switching engine, and the bridging control module.

[0016] A communication control architecture is adopted to ensure communication and collaborative operation between different components. Specifically, this architecture includes the following key components: an MCU (Microcontroller Unit), which serves as the core control unit responsible for managing and processing data; a front-end sensor array, composed of multiple sensors, used to monitor real-time status information and transmit this data to the MCU for processing; a mode switching engine, used to switch and control according to different operating modes and adjust the working state; and a bridging control module, responsible for coordinating and controlling different working threads to ensure that each module can operate normally in multi-tasking modes. Through the connection and collaborative work of these components, communication control and management of the intelligent safety belt and hook device are achieved, especially in multi-operation modes.

[0017] The communication control and management steps include:

[0018] The front-end sensor array collects real-time status data and transmits it back to the MCU via a communication bus.

[0019] The front-end sensor array consists of multiple sensors integrating BeiDou / Bluetooth positioning. These sensors monitor various status data of the smart seat belt and hook device in real time, such as hook position, belt tension, usage status, and environmental sensor data. This data is a crucial indicator of the system's operating status, reflecting the current operational status of the device. The front-end sensor array transmits the collected real-time status data back to the MCU via a communication bus. This communication bus uses data transmission protocols such as I2C, SPI, and CAN bus to ensure stable and rapid data transmission. By transmitting the real-time status data to the MCU, the MCU can promptly obtain the data from the front-end sensor array for further analysis and processing, providing fundamental information for subsequent control decisions and system adjustments.

[0020] The MCU performs state assessment and generates control signals, wherein the control signals are either same-mode control signals or mode-switching control signals.

[0021] The MCU assesses the current system state based on received real-time status data to determine whether the system is operating normally. Based on the assessment, it generates control signals. When the system's current operating mode remains unchanged, the generated control signals are for the same mode, maintaining stability (e.g., adjusting the output power of a thread or module, or the tension of the belt). When switching between different operating modes is required, the generated control signals are for mode switching, coordinating and controlling the switching of different bridge threads to ensure a smooth transition from one operating mode to another.

[0022] The mode switching engine receives the control signal, performs decoupling based on the bridge thread, and generates a bridge control signal.

[0023] The mode switching engine receives control signals from the MCU and determines whether to switch the system's operating mode based on these signals. Specifically, when the MCU issues mode switching adjustment signals, the mode switching engine decouples these signals. Decoupling means breaking down a signal into multiple independent control instructions, enabling it to control different bridge threads in the system. The decoupled signals are converted into independent control signals for each bridge thread. These signals are called bridge control signals. The function of the bridge control signals is to adjust the working state of each bridge thread to ensure a smooth transition when the system switches modes.

[0024] The bridging thread of the bridging control module receives the bridging control signal in a directional manner and performs collaborative control and management of the bridging thread in the multi-job mode.

[0025] The bridging control module comprises multiple bridging threads, each responsible for a specific function, such as longitudinal control, lateral stabilization, and fall protection. Each bridging thread receives control signals relevant to its role and function. For example, the first bridging thread controls the longitudinal strip, while the second handles lateral stabilization. When multiple bridging threads operate simultaneously in multi-tasking mode, they collaborate on their respective tasks. This includes adjusting their operating state based on received bridging control signals, such as adjusting drive current, controlling actuator movements, and regulating the transmission mechanism, to achieve the desired system behavior. Simultaneously, through coordinated control, the bridging threads ensure that their operations do not interfere with each other and can coordinate the completion of multiple tasks. For instance, the first and second bridging threads can work together simultaneously to complete strip extension / retraction and lateral stabilization.

[0026] Furthermore, the bridging control module consists of a first bridging thread, a second bridging thread, a third bridging thread, and a fourth bridging thread connected in parallel; the first bridging thread consists of a longitudinal control module, an H-bridge drive circuit, and a retractor / discharge mechanism; the second bridging thread consists of a lateral stabilization module, an H-bridge drive circuit, and a damping actuator; the third bridging thread consists of a fall protection module, an H-bridge drive circuit, and a buffer assembly; and the fourth bridging thread consists of a hook safety module, an H-bridge drive circuit, and a hook locking assembly.

[0027] The bridging control module consists of four parallel bridging threads, each responsible for executing a specific function within the smart seatbelt system. Through this parallel design, the bridging threads can work in parallel, improving system efficiency and response speed. Specifically, these four bridging threads are used for the following functions: the first bridging thread controls the extension and retraction of the seatbelt's longitudinal webbing; the second bridging thread controls lateral stability to prevent belt swaying; the third bridging thread provides cushioning in the event of a collision or sudden stop to protect the user; and the fourth bridging thread ensures the hook's locked position for safety.

[0028] The longitudinal control module is responsible for controlling the longitudinal extension and retraction of the seat belt. It adjusts the tension of the webbing by adjusting the working state of the retraction and discharge mechanism to adapt to different usage conditions. The H-bridge drive circuit is used to control the execution of the longitudinal control module and adjusts the extension and retraction of the webbing by controlling the direction and magnitude of the current. The retraction and discharge motor is responsible for the retraction and retraction of the webbing. It works with the longitudinal control module to control the extension and retraction of the webbing by driving the retraction and discharge motor.

[0029] The lateral stabilization module controls the lateral sway of the seat belt, preventing it from wobbling from side to side due to external forces. Lateral sway affects the comfort and stability of the seat belt. The H-bridge two-drive circuit controls the working state of the lateral stabilization module by controlling the positive and negative directions of the current, ensuring that the lateral stabilization module generates a stable force when needed. The damping actuator generates a torque opposite to the lateral sway to stabilize the seat belt. It reduces lateral sway by providing appropriate damping force, ensuring the stability of the seat belt during use.

[0030] The fall protection module intervenes immediately when a potential fall is detected. It monitors acceleration and motion to determine if a dangerous situation exists and activates protective measures when necessary. The H-bridge three-drive circuit controls the fall protection module's operation and adjusts the working state of related components to ensure the fall protection module can react accurately and quickly. The buffer component mitigates impact forces during sudden stops or impacts, reducing injury to the user. It protects the user's safety by absorbing and dispersing impact forces.

[0031] The hook safety module monitors the safety status of the hook, ensuring it is securely attached to the seatbelt's anchor point during use. It prevents accidents caused by hook loosening or detachment by checking the hook's condition. The H-bridge four-drive circuit controls the operation of the hook safety module, adjusting the current to ensure the hook locking assembly can perform locking or releasing operations as needed. The hook locking assembly is a critical part of the seatbelt system, responsible for ensuring the hook is securely locked during use. It uses mechanical or electronic means to ensure the hook will not come loose in unsafe conditions.

[0032] Furthermore, multiple operating modes are set, wherein the multiple operating modes are at least divided into high-mounted low-use mode, flat-mounted mode, low-mounted high-use mode, and buffer package mode; based on the communication control architecture, the switching control management of multiple operating modes is executed through continuous multi-source sensor measurement and control signal drive.

[0033] In the high-mounted, low-use mode, the seatbelt hook is positioned higher, and the seatbelt tension and usage are lower. This means the seatbelt is used for stability but not for excessive force or load. This mode is suitable for scenarios requiring less tension but still needing seatbelt support. In the horizontally mounted mode, the seatbelt is horizontal, providing uniform tension and support. This mode is designed to provide optimal stability in specific working environments. It is suitable for situations where the seatbelt needs to function on a flat surface, involving precise stability requirements.

[0034] In low-mount, high-use mode, the seatbelt hook is positioned lower and has higher tension. This means the seatbelt bears a greater load while providing support, suitable for high-intensity protection or dealing with significant external forces. This mode is suitable for situations requiring the seatbelt to withstand greater pressure or external forces, such as preventing falls or protecting the user in high-risk environments. In cushioning mode, the impact force is reduced through a cushioning component. In this mode, the seatbelt not only provides fixation but also cushioning to reduce the pressure from external impacts. This mode is suitable for protection during sudden stops or impacts, and the cushioning mode can effectively reduce injury.

[0035] As the core of the system, the communication control architecture ensures coordination and information flow between different modules. Based on this architecture, data is collected from various sensors, such as acceleration, tension, and user activity, before executing switching control. This data provides detailed information about the current working environment and user needs. Multi-source sensor data helps the MCU accurately assess the current working state and determine whether to switch to another working mode.

[0036] Control signals are generated based on the current state to drive various control modules, ensuring a smooth transition between different operating modes and reducing delays or instability during switching. When switching between different operating modes is required, the system's operating state is adjusted according to actual needs. This process is not merely a simple mode switch but also involves coordinated control of various components to ensure that all modules work synchronously during the switching process, thereby avoiding conflicts or inconsistencies.

[0037] Furthermore, before performing switching control management in multi-job modes, the following steps are included:

[0038] For the aforementioned multi-tasking modes, bridge thread decoupling rules are defined. Specifically, in the high-load, low-utilization mode, the first bridge thread controls the operation and the second bridge thread works in coordination; in the flat-load mode, the second bridge thread controls the operation and the first bridge thread works in coordination; in the low-load, high-utilization mode, the first bridge thread precisely controls the operation and the third bridge thread prepares for operation; and in the buffered mode, the third bridge thread operates at full power and works with the remaining bridge threads. Based on these bridge thread decoupling rules and guided by the logic of decoupling allocation based on switching requirements, the mode switching engine is constructed.

[0039] In intelligent seat belt systems, different operating modes require each bridging thread to work collaboratively according to different rules to ensure the stability and safety of the system. The bridging thread decoupling rules determine how each thread allocates tasks and coordinates its work.

[0040] Specifically, in the high-mounted, low-use mode, the focus is on reducing the load on the seatbelt and maintaining a lighter working state. Therefore, the first bridging thread (longitudinal control module) is the main control system, while the second bridging thread (lateral stabilization module) assists, ensuring the stability of the seatbelt without applying excessive force. The main goal is to prevent forward tilting and ensure the seatbelt is in a relaxed state, requiring no excessive tension or resistance. In the level-mounted mode, lateral stability is more important. Therefore, the second bridging thread (lateral stabilization module) is the main control system, with the first bridging thread (longitudinal control module) assisting, to ensure the tension and stability of the seatbelt. The main focus is on preventing lateral swaying of the seatbelt and maintaining its stability. In the low-mounted, high-use mode, the seatbelt tension requirement is higher. The first bridging thread (longitudinal control module) is responsible for precise control of extension and retraction, while the third bridging thread (fall protection module) is ready to ensure the system can respond quickly in the event of a fall or emergency. The main goal is to prevent falls and withstand greater loads, ensuring the seatbelt continues to function normally under high load conditions. In buffer mode, the third bridging thread (fall protection module) provides full power to handle sudden impacts, while other threads (such as the first and second bridging threads) assist in ensuring the normal operation of the buffer assembly. The main focus is on shock protection, ensuring that the seat belt can provide protection through the buffer assembly in case of an emergency, reducing injury to the user.

[0041] The bridging thread decoupling rules, based on the needs of different working modes, specify which threads are in control and which are auxiliary, thus ensuring effective collaboration among threads in multi-tasking modes. By setting bridging thread decoupling rules for different working modes, the workload of each bridging thread can be rationally allocated in different modes. Each mode focuses on different tasks, such as preventing forward tilting, preventing swaying, preventing impact, and handling fall emergencies, ensuring that the seatbelt system provides optimal protection in various working environments. The mode switching engine, based on the decoupling rules, can smoothly switch between different working modes according to the needs of the environment and the user, and coordinate the collaborative work of each bridging thread. This ensures that the intelligent seatbelt system provides optimal safety protection in various scenarios.

[0042] Furthermore, if it is a same-mode adjustment class, the bridging control signal includes control signals corresponding to each bridging thread; if it is a mode switching adjustment class, the bridging control signal includes thread coordination state control signals and control signals of each bridging thread.

[0043] Same-mode adjustment refers to adjustments made when the system is operating under the same mode. In this mode, all modules within the system maintain the same operating mode, requiring only minor adjustments to the existing state. In this case, bridging control signals include independent control signals corresponding to each bridging thread. For example, the control signal of the first bridging thread affects the vertical control module, while the control signal of the second bridging thread affects the horizontal stabilization module, and so on. The purpose of these control signals is to perform local adjustments on each thread to optimize performance under the current mode, ensuring system stability and responsiveness.

[0044] Mode switching control refers to the smooth transition and coordinated operation of switching between different working modes, requiring specific control signals. Thread coordination state control signals ensure the coordination of multiple bridging threads during mode switching. For example, when switching from one mode to another, all threads need to start or stop synchronously; these signals ensure that the working states of all threads are correctly coordinated. Besides coordination signals, each bridging thread's control signals remain independent, responsible for controlling the specific actions of its respective module. For instance, the control signal of the first bridging thread affects the receiver / discharge motor of the vertical control module, while the signal of the second bridging thread controls the horizontal stabilization module. During mode switching, these control signals help ensure that the system can immediately adapt to the new working mode and meet functional requirements.

[0045] Furthermore, the bridging thread of the bridging control module receives the bridging control signal in a directional manner and performs coordinated control and management of the bridging thread in the multi-job mode, including:

[0046] The first bridging thread receives the first bridging control signal, and the longitudinal control module determines the drive duty cycle by analyzing the first counteracting torque and generates the first control signal; the H-bridge drive circuit responds to the first control signal and controls the longitudinal webbing by using a take-up and release motor.

[0047] The first bridging thread is responsible for longitudinal control, specifically the webbing retraction and extension control. Upon receiving the first bridging control signal, this thread first analyzes the current state and the required control behavior. The counter-torque refers to the reaction force generated by the interaction between the user and the webbing during operation. When the user tilts or leans forward, a torque is generated with the webbing. This torque needs to be analyzed to determine how to adjust the retraction and extension motor's action. Based on the counter-torque analysis, the longitudinal control module calculates the corresponding drive duty cycle, a parameter controlling the motor's operating state. The duty cycle refers to the ratio of the motor's working time to its non-working time within a certain cycle. By adjusting the duty cycle, the webbing retraction and extension speed can be controlled to meet user needs and the current operating state. Based on the calculated drive duty cycle, a corresponding first control signal is generated, instructing the H-bridge drive circuit to adjust the current, thereby precisely controlling the longitudinal webbing retraction and extension actions.

[0048] After receiving the first control signal, the H-bridge drive circuit adjusts the working state of the motor according to the instructions in the signal, controlling the motor's start-stop, speed, etc. Specifically, the retractor adjusts the webbing's winding and unwinding state according to the instructions of the H-bridge drive circuit. For example, in the forward-leaning state, the retractor loosens or tightens the webbing as needed to ensure the user's safety and comfort.

[0049] Furthermore, the lateral stabilization module generates a second control signal by analyzing the reverse damping torque; the fall protection module generates a third control signal by analyzing the trend of acceleration safety; and the hook safety module generates a fourth control signal based on the hook locking current to determine the hook state and analyze the locking force.

[0050] The reverse damping torque refers to the force exerted on the webbing in a seatbelt system by external lateral forces, such as user movement or swaying. In some cases, the seatbelt may become unstable or sway from side to side. In such situations, the reverse damping torque is used to control and counteract lateral disturbances. The lateral stabilization module analyzes this reverse damping torque to determine if the seatbelt is unstable or swaying, and adjusts it accordingly to maintain system stability. Based on the analysis of the reverse damping torque, a second control signal is generated to adjust relevant components, such as the lateral stabilization module, thereby keeping the seatbelt stable and preventing excessive lateral swaying.

[0051] Acceleration change refers to a significant change in perceived acceleration at a given moment, indicating a sudden movement such as a fall or sudden stop. The fall protection module detects these acceleration changes using acceleration sensors and analyzes whether they represent a dangerous situation. If the acceleration change matches the characteristics of a fall or other emergency, such as a rapid change in acceleration, a fall risk is identified. At this point, a third control signal is generated, instructing the seatbelt system to take protective measures, such as tightening the webbing or activating the cushioning device, to reduce the user's risk of injury.

[0052] The hook locking current refers to the current change in the hook locking mechanism. In smart seat belts, the hook's locking status is controlled or detected by the current. By monitoring changes in the current, it is determined whether the hook is securely locked. If the current is below the normal range, it indicates that the hook is not securely locked and there is a risk of loosening or malfunction. At this time, a fourth control signal is generated to instruct an increase in locking force and trigger an alarm mechanism to remind the user of the hook's safety issues.

[0053] Furthermore, the method also includes:

[0054] By combining risk control types and risk control levels, alarm rules are determined; based on the alarm rules, alarms are deployed in the MCU; the MCU receives real-time status data through the communication bus and performs status assessment, then performs risk analysis based on the alarm rules and generates risk alarm instructions; front-end alarm management is performed based on the risk alarm instructions.

[0055] Risk control types refer to different types of risks in an intelligent seatbelt system, such as forward tilt risk, fall risk, and lateral sway. Each type of risk has different handling methods and prevention mechanisms. Risk control levels are determined according to the severity of the risk; for example, minor risks are classified as low-level, and severe risks as high-level. Risk control levels help assess the current safety status of the system and determine whether further protective measures are needed. Combining risk control types and risk control levels, specific alarm rules are formulated based on these factors. These alarm rules determine how to respond under different risk types and levels. For example, when a specific type of risk, such as fall risk, is detected and the risk level is high, an alarm should be issued immediately and emergency response measures should be taken.

[0056] Within the MCU, an alarm is deployed, responsible for generating risk alarm commands based on the system's real-time status. Specifically, the MCU receives real-time status data from the front-end sensor array via a communication bus. This data includes real-time outputs from various sensors, representing the current operating status of the seatbelt system. The MCU assesses the real-time status data and analyzes the current risk status. For example, it analyzes acceleration data to determine if a sudden stop or fall has occurred, or monitors the hook locking current to determine if the hook is secure. Based on the assessment results, the MCU performs risk analysis and determines whether to trigger an alarm according to alarm rules. When the risk analysis confirms that an alarm is necessary, it generates a risk alarm command, triggers the alarm system, and alerts users or managers to potential safety issues.

[0057] Based on risk alarm commands, front-end alarm management is implemented, including: activating alarms such as audible alarms, flashing warning lights, and on-screen warnings; displaying alarm information on the system interface to alert operators or users to current safety risks; and triggering other automated responses when necessary, such as activating buffer systems, enhancing hook locking, and restricting equipment operation. This front-end alarm management not only promptly alerts users but also allows the system to respond automatically, reducing the threat of potential risks to users.

[0058] Furthermore, after the bridge thread's coordinated control and management, it includes:

[0059] Based on the front-end sensor array, control response tracking is performed to determine the response status data; the response status data is then transmitted back to the MCU for expected control deviation analysis, generating a feedback signal to perform feedback control management on the bridging control module.

[0060] The front-end sensor array consists of multiple sensors used to monitor various status data of the intelligent seat belt system in real time, such as webbing tension, user activity, and environmental conditions. Control response tracking refers to the real-time tracking of the seat belt system's response to various operational commands based on the data collected by the front-end sensor array, including the real-time effects of system adjustments, such as how it responds to external changes during longitudinal control or lateral stabilization adjustments. Response status data refers to the result data obtained by tracking the control response, such as the current seat belt tension, webbing extension / retraction status, and lateral swing angle. This data allows for real-time monitoring of the operational status of each module.

[0061] The response status data is sent back to the MCU. Based on the received response status data, the MCU determines whether the system is currently in the expected operating state. Expected control deviation analysis refers to the MCU's evaluation of the gap between the system's current response and the expected response. Based on pre-set target states, such as tension value and stability requirements, the deviation between the actual value and the target value is calculated. The deviation indicates that the system failed to achieve the expected effect when performing a certain control operation. For example, if the longitudinal control module fails to adjust the webbing tension as expected, the MCU will detect this deviation and generate a corresponding feedback signal for adjustment. The feedback signal is used to guide further adjustment or optimization of its operation. For example, if it is detected that the longitudinal webbing of the seat belt does not meet the requirements, an adjustment signal is generated, commanding the control module to take further action, such as adjusting the speed or direction of the retractor.

[0062] Upon receiving feedback signals, the bridging control module adjusts the operating state of each control thread according to the MCU's instructions to achieve optimal control. This process forms a closed-loop control mechanism: the front-end sensor array continuously provides real-time data, the MCU analyzes the data and generates feedback signals, and the bridging control module adjusts based on these signals, thereby continuously optimizing the overall system performance and safety. In this way, the smart seatbelt can self-adjust and adapt to the needs of the environment and the user, ensuring optimal safety and comfort in various operating modes.

[0063] Example 2, based on the same inventive concept as the communication control method between the host and hook device of the smart seat belt in the foregoing examples, such as... Figure 2 As shown, this application embodiment provides a communication control system for the host and hook device of an intelligent safety belt, such as... Figure 3 As shown, the system employs a communication control architecture and includes:

[0064] The communication control and management unit 10 is used to deploy communication control using a communication control architecture and to perform communication control and management between the host and the hook device under multiple operating modes. The communication control architecture consists of an MCU 21 establishing communication connections with a front-end sensor array 22, a mode switching engine 23, and a bridging control module 24. The communication control and management steps include: the front-end sensor array 22 collecting real-time status data and transmitting it back to the MCU 21 via a communication bus; the MCU 21 performing status assessment and generating control signals, wherein the control signals are either same-mode adjustment or mode-switching adjustment; the mode switching engine 23 receiving the control signals and performing decoupling based on bridging threads to generate bridging control signals; and the bridging threads of the bridging control module 24 receiving the bridging control signals and performing bridging thread collaborative control and management under the multiple operating modes.

[0065] Furthermore, the bridging control module 24 consists of a first bridging thread, a second bridging thread, a third bridging thread, and a fourth bridging thread connected in parallel; the first bridging thread consists of a longitudinal control module, an H-bridge one drive circuit, and a retractor / discharge mechanism; the second bridging thread consists of a lateral stabilization module, an H-bridge two drive circuit, and a damping actuator; the third bridging thread consists of a fall protection module, an H-bridge three drive circuit, and a buffer assembly; and the fourth bridging thread consists of a hook safety module, an H-bridge four drive circuit, and a hook locking assembly.

[0066] Furthermore, the communication control and management unit 10 is used to perform the following operation steps:

[0067] Multiple operating modes are set, wherein the multiple operating modes are at least divided into high-mounted low-use mode, flat-mounted mode, low-mounted high-use mode, and buffer package mode; based on the communication control architecture, the switching control management of multiple operating modes is executed through continuous multi-source sensor measurement and control signal drive.

[0068] Furthermore, the communication control and management unit 10 is used to perform the following operation steps:

[0069] For the aforementioned multi-tasking modes, bridge thread decoupling rules are set. In the high-load low-use mode, the first bridge thread controls the main operation and cooperates with the second bridge thread; in the flat-load mode, the second bridge thread controls the main operation and cooperates with the first bridge thread; in the low-load high-use mode, the first bridge thread precisely controls the main operation and the third bridge thread prepares the operation; and in the buffer mode, the third bridge thread operates at full power and cooperates with the other bridge threads. Based on the bridge thread decoupling rules and guided by the decoupling allocation based on switching requirements, the mode switching engine 23 is constructed.

[0070] Furthermore, the communication control and management unit 10 is used to perform the following operation steps:

[0071] If it is a same-mode adjustment class, the bridging control signal includes the control signal corresponding to each bridging thread; if it is a mode switching adjustment class, the bridging control signal includes the thread coordination state control signal and the control signal of each bridging thread.

[0072] Furthermore, the communication control and management unit 10 is used to perform the following operation steps:

[0073] The first bridging thread receives the first bridging control signal, and the longitudinal control module determines the drive duty cycle by analyzing the first counteracting torque and generates the first control signal; the H-bridge drive circuit responds to the first control signal and controls the longitudinal webbing by using a take-up and release motor.

[0074] Furthermore, the communication control and management unit 10 is used to perform the following operation steps:

[0075] The lateral stabilization module generates a second control signal by analyzing the reverse damping torque; the fall protection module generates a third control signal by analyzing the trend of acceleration safety; and the hook safety module generates a fourth control signal based on the hook locking current to determine the hook status and analyze the locking force.

[0076] Furthermore, the communication control and management unit 10 is used to perform the following operation steps:

[0077] By combining risk control types and risk control levels, alarm rules are determined; based on the alarm rules, alarms are deployed in the MCU; the MCU receives real-time status data through the communication bus and performs status assessment, then performs risk analysis based on the alarm rules and generates risk alarm instructions; front-end alarm management is performed based on the risk alarm instructions.

[0078] Furthermore, the communication control and management unit 10 is used to perform the following operation steps:

[0079] Based on the front-end sensor array 22, control response tracking is performed to determine the response status data;

[0080] The response status data is sent back to MCU21 for expected control deviation analysis, and a feedback signal is generated to perform feedback control management on the bridging control module 24.

[0081] Through the foregoing detailed description of the communication control method between the host and hook device of the smart seat belt, those skilled in the art can clearly understand the communication control system between the host and hook device of the smart seat belt in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and relevant parts can be referred to the method section.

[0082] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A communication control method between the main unit and the hook device of an intelligent safety belt, characterized in that, The method includes: A communication control architecture is adopted for communication control deployment, and communication control and management between the host and the hook device are executed under multiple operating modes. The communication control architecture consists of a communication connection established between the MCU and the front-end sensor array, the mode switching engine, and the bridging control module. The communication control and management steps include: The front-end sensor array collects real-time status data and transmits it back to the MCU via a communication bus; The MCU performs state assessment and generates control signals, wherein the control signals are either same-mode control signals or mode-switching control signals. The mode switching engine receives the control signal, performs decoupling based on the bridge thread, and generates a bridge control signal. The bridging thread of the bridging control module receives the bridging control signal in a directional manner and performs bridging thread collaborative control management in the multi-operation mode. The bridging control module consists of a first bridging thread, a second bridging thread, a third bridging thread, and a fourth bridging thread connected in parallel. The first bridging thread consists of a longitudinal control module, an H-bridge drive circuit, and a receiver / discharge mechanism; The second bridging thread consists of a lateral stabilization module, an H-bridge two-drive circuit, and a damping actuator; The third bridging thread consists of a fall protection module, an H-bridge three-drive circuit, and a buffer component. The fourth bridging thread consists of a hook safety module, an H-bridge four-drive circuit, and a hook locking component. Multiple operation modes are set, wherein the multiple operation modes are at least divided into high-mounted low-use mode, flat-mounted mode, low-mounted high-use mode, and buffer pack mode; Based on the aforementioned communication control architecture, switching control management in multiple operating modes is executed through continuous multi-source sensor measurement and control signal drive. Before performing switching control management in multi-job mode, the following should be included: For the aforementioned multi-tasking modes, bridge thread decoupling rules are set. In the high-load low-use mode, the first bridge thread controls the main operation and the second bridge thread cooperates. In the flat-load mode, the second bridge thread controls the main operation and the first bridge thread cooperates. In the low-load high-use mode, the first bridge thread precisely controls the third bridge thread and prepares. In the buffer mode, the third bridge thread works at full power and cooperates with the other bridge threads. Based on the bridge thread decoupling rules, and guided by the decoupling allocation based on switching requirements, the mode switching engine is constructed.

2. The communication control method between the host and hook device of the intelligent safety belt as described in claim 1, characterized in that, If it is a mode-based adjustment class, the bridging control signal includes control signals corresponding to each bridging thread; If it is a mode switching adjustment type, the bridging control signal includes thread coordination state control signal and control signal of each bridging thread.

3. The communication control method between the host and hook device of the intelligent safety belt as described in claim 1, characterized in that, The bridging thread of the bridging control module receives the bridging control signal in a directional manner and performs coordinated control and management of the bridging thread in the multi-job mode, including: The first bridging thread receives the first bridging control signal, and the longitudinal control module determines the drive duty cycle by analyzing the first counteracting torque and generates the first control signal. The H-bridge drive circuit responds to the first control signal and controls the longitudinal webbing by using a take-up and release motor.

4. The communication control method between the host and hook device of the intelligent safety belt as described in claim 3, characterized in that, The lateral stabilization module generates a second control signal by analyzing the reverse damping torque; The fall protection module generates a third control signal by analyzing the trend of acceleration safety status; The hook safety module determines the hook status and analyzes the locking force based on the hook locking current, and generates a fourth control signal.

5. The communication control method between the host and hook device of the intelligent safety belt as described in claim 1, characterized in that, The method further includes: Combine risk control types and risk control levels to determine alarm rules; According to the alarm rules, an alarm is deployed in the MCU. After the MCU receives real-time status data through the communication bus and performs status assessment, it performs risk analysis based on the alarm rules and generates risk alarm instructions. Front-end alarm management is performed based on the aforementioned risk alarm instructions.

6. The communication control method between the host and hook device of the intelligent safety belt as described in claim 1, characterized in that, After bridging thread coordination and management, it includes: Based on the aforementioned front-end sensor array, control response tracking is performed to determine response status data; The response status data is sent back to the MCU for expected control deviation analysis, and a feedback signal is generated to perform feedback control management on the bridging control module.

7. A communication control system for the main unit and hook device of an intelligent safety belt, characterized in that, A method for controlling communication between a host and a hook device in implementing the smart seat belt according to any one of claims 1-6, the system comprising: The communication control and management unit is used to deploy communication control using a communication control architecture and to perform communication control and management between the host and the hook device under multiple operating modes. The communication control architecture consists of a communication connection established between the MCU and the front-end sensor array, the mode switching engine, and the bridging control module. The communication control and management steps include: The front-end sensor array collects real-time status data and transmits it back to the MCU via a communication bus; The MCU performs state assessment and generates control signals, wherein the control signals are either same-mode control signals or mode-switching control signals. The mode switching engine receives the control signal, performs decoupling based on the bridge thread, and generates a bridge control signal. The bridging thread of the bridging control module receives the bridging control signal in a directional manner and performs bridging thread collaborative control management in the multi-operation mode. The bridging control module consists of a first bridging thread, a second bridging thread, a third bridging thread, and a fourth bridging thread connected in parallel. The first bridging thread consists of a longitudinal control module, an H-bridge drive circuit, and a receiver / discharge mechanism; The second bridging thread consists of a lateral stabilization module, an H-bridge two-drive circuit, and a damping actuator; The third bridging thread consists of a fall protection module, an H-bridge three-drive circuit, and a buffer component. The fourth bridging thread consists of a hook safety module, an H-bridge four-drive circuit, and a hook locking component.

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