Early warning method and system of intelligent safety belt

Abstract

The invention discloses an early warning method and system for an intelligent safety belt, and the method comprises the steps: collecting the wearing state of the safety belt, and judging whether to enter an operation process or not according to the wearing state; after entering a working process, collecting working environment parameters and physiological information of operators in real time; judging whether the current working environment is dangerous or not according to the working environment parameters; judging whether the vital signs of the operator are dangerous or not according to the physiological information; if the judgment result is dangerous, carrying out dangerous condition early warning; wherein the dangerous condition early warning comprises local real-time warning of an abnormal event and generation of a structured event packet and uploading of the structured event packet to the cloud. According to the invention, by fusing multi-dimensional data such as environment, posture and vital signs, full-dimensional safety perception is realized, and accurate risk identification is realized; high-reliability wearing detection is realized; multi-network converged communication is utilized to adapt to various complex operation scenes; and meanwhile, active early warning and emergency response are realized.

Description

Technical Field

[0001] This invention relates to the technical field of safety equipment, and specifically to a warning method and system for intelligent seat belts. Background Technology

[0002] In high-risk industries such as construction, power, petroleum, and chemical engineering, safety belts are crucial protective equipment for ensuring the lives of workers. However, traditional safety belts only provide physical restraint and cannot actively sense wearing status, environmental risks, or the health status of personnel. Existing intelligent safety devices suffer from limitations such as limited communication methods, weak data fusion capabilities, and a lack of real-time interaction, making it difficult to meet the high real-time and high reliability requirements of safety monitoring in complex work environments.

[0003] In summary, there is a need to design a warning method and system for intelligent seat belts to solve the problems in the existing technology. Summary of the Invention

[0004] To address the problems in the prior art, this invention provides an early warning method and system for intelligent seat belts. By integrating multiple sensing technologies, multi-mode communication methods, and artificial intelligence algorithms, it enables real-time perception, analysis, and early warning of seat belt wearing status, work environment parameters, personnel vital signs, and behavioral postures. It also supports voice calls and image transmission, thereby enhancing proactive safety protection capabilities in high-risk work scenarios.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: A warning method for a smart seatbelt includes the following steps: Collect the wearing status of the safety belt and determine whether to enter the work process based on the wearing status; Once the workflow begins, real-time collection of work environment parameters and worker physiological information is performed. The work environment parameters include temperature and humidity values, work height, and worker acceleration values. The physiological information includes worker body temperature and heart rate. Determine whether the current work environment is dangerous based on the aforementioned work environment parameters; Based on the physiological information, determine whether the worker's vital signs are in danger; If the assessment result is dangerous, a danger warning will be issued; The danger warning system includes local real-time alerts for abnormal events and the generation of structured event packages for uploading to the cloud.

[0006] In some embodiments of the present invention, the seat belt is equipped with a Hall sensor and an infrared sensor; the Hall sensor is used to detect whether the metal pin of the seat belt is in place; the infrared sensor is used to detect the closed state of the seat belt buckle and whether the buckle is obstructed by foreign objects; The process of collecting information on seatbelt wearing includes collecting data from the Hall sensor and the infrared sensor. The dangerous situation also includes the acquisition time of adjacent data in the Hall sensor exceeding a time threshold.

[0007] In some embodiments of the present invention, determining whether the current working environment is dangerous based on the working environment parameters includes: The system collects real-time temperature and humidity values ​​of the work environment, compares these values ​​with temperature and humidity thresholds, and determines whether there is a risk of heatstroke or frostbite to workers in the current work environment based on the comparison results.

[0008] Collect real-time operating height, compare the real-time operating height with a height threshold, and determine whether the current operating height is in a high-altitude danger zone based on the comparison structure; The system collects the real-time acceleration values ​​of the workers, compares these values ​​with acceleration thresholds, and determines whether the workers are in an abnormal state based on the comparison results.

[0009] In some embodiments of the present invention, the seat belt is further provided with a heart rate / blood oxygen sensor, which is integrated into the inner side of the shoulder strap of the seat belt via a contact electrode; The process of determining whether a worker's vital signs are in danger based on the physiological information includes: The system collects real-time physiological information from workers, compares this information with physiological thresholds, and determines whether the workers are in an abnormal state based on the comparison results.

[0010] In some embodiments of the present invention, the abnormal state includes falling, violent shaking, prolonged stillness, or fainting.

[0011] In some embodiments of the present invention, an intelligent seatbelt warning system is provided, which is used to implement the above-mentioned warning method, including: The seat belt body is equipped with a buckle device; the buckle device is used to integrate a buckle sensor. The environmental monitoring module includes a multi-source sensor array for collecting operational environmental parameters and physiological information of workers. The early warning module is used to determine whether the working environment parameters and physiological information are within the threshold range based on the data fusion algorithm; otherwise, it issues an early warning. The communication module is used to communicate with external systems and output warning signals.

[0012] In some embodiments of the present invention, the multi-source sensor array includes: Temperature and humidity sensors are used to monitor the temperature and humidity of the working environment. Barometric altitude sensor for real-time calculation of working height; Triaxial accelerometer: Used to collect the acceleration values ​​of workers; Heart rate / blood oxygen sensor, used to collect physiological data of workers.

[0013] In some embodiments of the present invention, the communication module includes a 5G / LoRa communication unit, a Bluetooth communication unit, and a satellite communication link; the 5G / LoRa communication unit is used to remotely transmit early warning signals to the cloud or base station; the Bluetooth communication unit is used to pair with the operator's smartphone or local handheld terminal to realize local configuration, voice calls, and image transmission.

[0014] In some embodiments of the present invention, an electronic device is provided, comprising: A processor, and a memory and a transceiver communicatively connected to the processor; The memory stores computer-executed instructions; the transceiver is used for sending and receiving data. The processor executes the computer execution instructions stored in the memory to implement the aforementioned early warning method.

[0015] In some embodiments of the present invention, a computer-readable storage medium is provided, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the aforementioned early warning method.

[0016] The technical solution of the present invention has the following technical effects compared with the prior art: This invention achieves comprehensive safety perception and accurate risk identification by integrating multi-dimensional data such as environment, posture, and vital signs; it adopts a Hall effect + infrared dual-sensor mechanism to avoid misjudgment by a single sensor and achieve highly reliable detection of wearable devices; it utilizes multi-network converged communication to adapt to various complex operating scenarios; and it also realizes proactive early warning and emergency response. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic flowchart illustrating the early warning method according to an embodiment of the present invention.

[0019] Figure 2 This is a schematic diagram of the structure of an early warning system according to an embodiment of the present invention.

[0020] Figure 3 This is a schematic diagram of the structure of the electronic device.

[0021] Reference numerals: 100, early warning system; 110, seat belt body; 120, environmental monitoring module; 130, early warning module; 140, communication module; 200, electronic device; 210, processor; 220, memory; 230, transceiver. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] In the description of this invention, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention.

[0024] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0025] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection, a direct connection, or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0026] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can include direct contact between the first and second features, or contact between the first and second features through another feature between them. Furthermore, "above," "over," and "on top" of the second feature includes the first feature directly above or diagonally above the second feature, or simply indicates that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature includes the first feature directly below or diagonally below the second feature, or simply indicates that the first feature is at a lower horizontal level than the second feature.

[0027] The following disclosure provides many different embodiments or examples for implementing different structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. Of course, these are merely examples and are not intended to limit the invention. Furthermore, reference numerals and / or letters may be repeated in different examples; such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0028] Example 1, Reference Figure 1 As shown, a warning method for a smart seatbelt includes the following steps: Step S1: Collect the wearing status of the safety belt and determine whether to enter the work process based on the wearing status; Specifically, the seat belt is equipped with a Hall sensor and an infrared sensor; the collection of seat belt wearing status includes collecting data from the Hall sensor and the infrared sensor.

[0029] After the worker puts on the safety belt, the buckle closes, triggering dual detection by a Hall sensor and an infrared sensor. The Hall sensor is used to detect whether the metal pin of the safety belt is in place; the infrared sensor is used to detect the closed state of the safety belt buckle and whether there are any foreign objects obstructing the buckle. In some embodiments of the present invention, the seat belt adopts a double buckle structure, and each buckle is equipped with a Hall sensor. When the Hall sensor is collecting data, if the collection time of adjacent data exceeds the time threshold, that is, if the two Hall sensors do not receive data for a long time, it is considered that the buckle of the seat belt is in an open state for a long time and is not locked, and a dangerous situation warning is issued.

[0030] Step S2: Once the buckle is locked, the workflow begins, and environmental parameters and physiological information of the workers are continuously collected in real time.

[0031] The working environment parameters include temperature and humidity values, working height, and acceleration values ​​of the workers; the physiological information includes the workers' body temperature and heart rate.

[0032] Step S3: Determine whether the current working environment is hazardous based on the aforementioned working environment parameters. The real-time working environment parameters are uploaded to the early warning module for real-time assessment. Specifically, this includes: The system collects real-time temperature and humidity values ​​of the work environment, compares these values ​​with temperature and humidity thresholds, and determines whether there is a risk of heatstroke or frostbite to workers in the current work environment based on the comparison results.

[0033] Collect real-time operating height, compare the real-time operating height with a height threshold, and determine whether the current operating height is in a high-altitude danger zone based on the comparison structure; The system collects the real-time acceleration values ​​of the workers, compares these values ​​with acceleration thresholds, and determines whether the workers are in an abnormal state based on the comparison results.

[0034] Step S4: Determine whether the worker's vital signs are in danger based on the physiological information; upload the physiological information to the early warning module in real time for real-time assessment. Specifically, this includes: The seat belt is also equipped with a heart rate / blood oxygen sensor, which is integrated into the inside of the shoulder strap of the seat belt via a contact electrode; The process of determining whether a worker's vital signs are in danger based on the physiological information includes: The system collects real-time physiological information from workers, compares this information with physiological thresholds, and determines whether the workers are in an abnormal state based on the comparison results.

[0035] The abnormal conditions include falling, violent shaking, prolonged stillness, or fainting.

[0036] In some embodiments of this application, the long duration of stillness is defined as a stillness time greater than 10 seconds.

[0037] Step S5: If the judgment result is dangerous, then issue a dangerous situation warning; the dangerous situation warning includes local real-time alarms for abnormal events and the generation of structured event packages for uploading to the cloud.

[0038] In some embodiments of the present invention, during operation, normal data collected by various sensors is periodically uploaded to the smart safety belt IoT platform via 5G. In case of dangerous situations, a high-priority alarm is immediately triggered.

[0039] If the 5G signal is weak, it will automatically switch to LoRa to send critical alarm packets. The remote monitoring center can initiate voice calls or request image transmissions through the platform; in addition, the monitoring center can record all events and generate security compliance reports.

[0040] In some embodiments of the present invention, the application scenarios of the early warning method include: In a typical construction site scenario, a worker wearing this smart safety harness is working at a height of 20 meters. Before work begins, the system automatically informs the worker to wear the safety harness correctly and, after confirmation, allows them to continue working while simultaneously reporting any violations to the platform for management intervention. The system detects that the buckle is correctly closed, and the height sensor confirms that the worker is in a high-altitude area. Suddenly, the acceleration sensor detects free-fall characteristics, and the height drops by 3 meters within 0.5 seconds. The warning module determines this to be a fall accident and immediately: 1) Triggers a local high-decibel alarm; 2) Send a "fall alarm" event, along with GPS location, to the smart seatbelt IoT platform via 5G; 3) Automatically dials the preset security supervisor's phone number; 4) The security supervisor initiates a voice call through the platform to confirm the status and requests the transmission of on-site images; 5) At the same time, the LoRa module sends alarm information to the on-site emergency base station to ensure communication redundancy.

[0041] The technical solution of the present invention has the following technical effects compared with the prior art: This invention achieves comprehensive safety perception and accurate risk identification by integrating multi-dimensional data such as environment, posture, and vital signs; it adopts a Hall effect + infrared dual-sensor mechanism to avoid misjudgment by a single sensor and achieve highly reliable detection of wearable devices; it utilizes multi-network converged communication to adapt to various complex operating scenarios; and it also realizes proactive early warning and emergency response.

[0042] Example 2, Reference Figure 2 As shown, an intelligent seatbelt warning system 100 is provided, which is used to implement the above-mentioned warning method, including: The seat belt body 110 is equipped with a buckle device; the buckle device is used to integrate a buckle sensor. The environmental monitoring module 120 includes a multi-source sensor array for collecting operational environmental parameters and physiological information of workers. The early warning module 130 is used to determine whether the working environment parameters and physiological information are within the threshold range based on the data fusion algorithm, and to issue an early warning if otherwise. The communication module 140 is used to communicate with the outside world and output warning signals.

[0043] In some embodiments of the present invention, the seat belt body 110 adopts a high-strength flexible webbing structure and incorporates flexible circuitry and miniaturized sensors.

[0044] The seat belt body 110 is locked by a buckle device, so the buckle device integrates a buckle sensor to detect the locking status of the buckle.

[0045] Specifically, the buckle sensor includes a Hall sensor and an infrared diffuse reflection sensor, used for dual verification of whether the seat belt is properly locked.

[0046] The Hall sensor is used to detect whether the metal pin of the buckle is in place, and the infrared diffuse reflection sensor is used to detect the closed state of the buckle and whether there are foreign objects obstructing the buckle device. When any data collected by the Hall sensor and the infrared diffuse reflection sensor is abnormal, it indicates that the buckle device is abnormal. The corresponding sensor is connected to the early warning module 130 to realize local alarm and trigger cloud alarm.

[0047] In some embodiments of the present invention, the environmental monitoring module 120 is configured with a multi-source sensor array consisting of multiple sensors, the multi-source sensor array comprising: Temperature and humidity sensors are used to monitor the temperature and humidity of the work environment, providing data support for subsequent assessments of the risk of heatstroke or frostbite. A barometric altimeter is used to calculate the working height in real time; it can help determine whether workers are in dangerous high-altitude areas. Triaxial accelerometer: Used to collect the acceleration value of workers; when workers are in abnormal behavior, such as falling or violent shaking, acceleration values ​​will be generated. Therefore, the triaxial accelerometer is used to collect whether workers have real-time acceleration values.

[0048] Heart rate / blood oxygen sensors are used to collect physiological data from workers, thereby enabling the monitoring of their vital signs.

[0049] In some embodiments of the present invention, the early warning module 130 has a built-in low-power microcontroller, such as ESP32, that runs a lightweight AI model; the early warning module 130 can make a comprehensive judgment based on multiple sensor data using fusion algorithms, such as Kalman filtering and decision trees.

[0050] Specifically, the warning module 130 can determine whether the seat belt is worn correctly based on the data collected by the buckle sensor; and determine whether a fall has occurred based on the sudden change in acceleration value and the sudden drop in height.

[0051] The early warning module 130 determines whether the current working environment is in a dangerous environment such as high temperature, high humidity, or lack of oxygen based on real-time environmental data; and determines whether the worker is experiencing abnormal conditions such as fainting or prolonged inactivity based on the worker's physiological information.

[0052] In some embodiments of the present invention, the communication module 140 includes a 5G / LoRa communication unit, a Bluetooth communication unit, and a satellite communication link. The 5G / LoRa communication unit is used to remotely transmit early warning signals to the cloud or base station; the Bluetooth communication unit is used to pair with the operator's smartphone or local handheld terminal to achieve local configuration, voice calls, and image transmission.

[0053] Specifically, the 5G communication unit serves as the backbone communication link, uploading data to the cloud platform to support remote management; in underground, tunnel, or remote areas without 5G signals, key alarm data is transmitted to the on-site base station with low power consumption over long distances via a LoRa gateway.

[0054] In addition, alarm information can also be transmitted via satellite communication links when conducting remote communication.

[0055] In some embodiments of the present invention, the communication module 140 can automatically select the optimal communication path based on the signal strength to ensure data continuity.

[0056] In some embodiments of the present invention, the early warning system 100 further includes a cloud-based collaborative platform, in which all devices are connected to the open-source Internet of Things (IoT) platform, Smart Safety Belt IoT, to achieve device management, data visualization, rule engine and alarm linkage; The cloud-based collaborative platform supports: real-time map display of personnel location and status, historical trajectory playback and safety event analysis, customizable alarm thresholds (e.g., alarm if seat belt is not worn when height > 10 meters), and integration with the enterprise safety management system (EHS).

[0057] In some embodiments of the present invention, the early warning system 100 further includes an integrated miniature microphone and speaker, which supports two-way voice communication via 5G / Bluetooth; it also includes an external miniature camera (which can be clipped to a safety helmet or shoulder strap) to transmit on-site images or short videos in real time via a 5G network, facilitating remote command and accident review.

[0058] It should be understood that the early warning system 100 here is embodied in the form of a functional module. The term "module" here can refer to application-specific integrated circuits (ASICs), electronic circuits, processors (e.g., shared processors, proprietary processors, or group processors, etc.) and memories for executing one or more software or firmware programs, integrated logic circuits, and / or other suitable components supporting the described functions. In an alternative example, those skilled in the art will understand that the early warning system 100 may be specifically the electronic device 200 in the above embodiments, or the functions of the electronic device 200 in the above embodiments may be integrated into the early warning system 100. The early warning system 100 may be used to execute the various processes and / or steps corresponding to the electronic device 200 in the above method embodiments; to avoid repetition, these will not be described again here.

[0059] The aforementioned early warning system 100 has the function of implementing the corresponding steps performed by the electronic device 200 of the early warning method in Embodiment 1; the aforementioned function can be implemented by hardware or by hardware executing corresponding software. The hardware or software includes one or more modules corresponding to the aforementioned function. For example, the aforementioned acquisition module can be a communication interface, such as a transceiver interface.

[0060] In an embodiment of the present invention, Figure 2 The early warning system 100 in the text can also be a chip or a chip system, such as a system on chip (SoC).

[0061] Reference Figure 3 As shown, in this embodiment, an electronic device 200 is provided, including: Processor 210, and memory 220 and transceiver 230 communicatively connected to said processor; The memory 220 stores computer-executed instructions; the transceiver 230 is used for sending and receiving data. The processor 210 executes the computer execution instructions stored in the memory 220 to implement the early warning method in Embodiment 1.

[0062] It should be understood that the electronic device 200 can be used to perform the corresponding steps and / or processes in the above method embodiments. Optionally, the memory 220 may include read-only memory and random access memory, and provide instructions and data to the processor. A portion of the memory 220 may also include non-volatile random access memory. For example, the memory 220 may also store device type information. The processor 210 can be used to execute instructions stored in the memory 220, and when the processor 210 executes the instructions, the processor 210 can perform the corresponding steps and / or processes in the above method embodiments.

[0063] It should be understood that, in this embodiment of the invention, the processor 210 may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0064] In implementation, each step of the above method can be completed by the integrated logic circuitry of the hardware in the processor 210 or by instructions in software form. The steps of the method disclosed in the embodiments of this invention can be directly manifested as execution by the hardware processor, or as a combination of hardware and software modules in the processor 210. The software modules can reside in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. This storage medium is located in memory, and the processor executes the instructions in the memory, combining them with its hardware to complete the steps of the above method. To avoid repetition, detailed descriptions are omitted here.

[0065] Example 3: In this example, a computer-readable storage medium is provided, which stores computer-executable instructions. When the computer-executable instructions are executed by a processor, they are used to implement the early warning method in Example 1.

[0066] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0067] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0068] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0069] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a 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 the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0070] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.

[0071] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A warning method for an intelligent seatbelt, characterized in that, Includes the following steps: Collect the wearing status of the safety belt and determine whether to enter the work process based on the wearing status; Once the workflow begins, real-time collection of work environment parameters and worker physiological information is performed. The work environment parameters include temperature and humidity values, work height, and worker acceleration values. The physiological information includes worker body temperature and heart rate. Determine whether the current work environment is dangerous based on the aforementioned work environment parameters; Based on the physiological information, determine whether the worker's vital signs are in danger; If the assessment result is dangerous, a danger warning will be issued; The danger warning system includes local real-time alerts for abnormal events and the generation of structured event packages for uploading to the cloud.

2. The early warning method according to claim 1, characterized in that, The seat belt is equipped with a Hall sensor and an infrared sensor; the Hall sensor is used to detect whether the metal pin of the seat belt is in place; the infrared sensor is used to detect the closed state of the seat belt buckle and whether the buckle is obstructed by foreign objects; The process of collecting information on seatbelt wearing includes collecting data from the Hall sensor and the infrared sensor. The dangerous situation also includes the acquisition time of adjacent data in the Hall sensor exceeding a time threshold.

3. The early warning method according to claim 1, characterized in that, The step of determining whether the current work environment is dangerous based on the work environment parameters includes: Collect real-time temperature and humidity values ​​of the working environment, compare the real-time temperature and humidity values ​​with temperature and humidity thresholds, and determine whether there is a risk of heatstroke or frostbite to workers in the current working environment based on the comparison results. Collect real-time operating height, compare the real-time operating height with a height threshold, and determine whether the current operating height is in a high-altitude danger zone based on the comparison structure; The system collects the real-time acceleration values ​​of the workers, compares these values ​​with acceleration thresholds, and determines whether the workers are in an abnormal state based on the comparison results.

4. The early warning method according to claim 1, characterized in that, The seat belt is also equipped with a heart rate / blood oxygen sensor, which is integrated into the inside of the shoulder strap of the seat belt via a contact electrode; The process of determining whether a worker's vital signs are in danger based on the physiological information includes: The system collects real-time physiological information from workers, compares this information with physiological thresholds, and determines whether the workers are in an abnormal state based on the comparison results.

5. The early warning method according to claim 4, characterized in that, The abnormal conditions include falling, violent shaking, prolonged stillness, or fainting.

6. An intelligent seatbelt warning system, used to implement the warning method as described in any one of claims 1-5, comprising: The seat belt body is equipped with a buckle device; the buckle device is used to integrate a buckle sensor. The environmental monitoring module includes a multi-source sensor array for collecting operational environmental parameters and physiological information of workers. The early warning module is used to determine whether the working environment parameters and physiological information are within the threshold range based on the data fusion algorithm; otherwise, it issues an early warning. The communication module is used to communicate with external systems and output warning signals.

7. The early warning system according to claim 6, characterized in that, The multi-source sensor array includes: Temperature and humidity sensors are used to monitor the temperature and humidity of the working environment. Barometric altitude sensor for real-time calculation of working height; Triaxial accelerometer: Used to collect the acceleration values ​​of workers; Heart rate / blood oxygen sensor, used to collect physiological data of workers.

8. The early warning system according to claim 6, characterized in that, The communication module includes a 5G / LoRa communication unit, a Bluetooth communication unit, and a satellite communication link; the 5G / LoRa communication unit is used to remotely transmit early warning signals to the cloud or base station; the Bluetooth communication unit is used to pair with the operator's smartphone or local handheld terminal to realize local configuration, voice calls, and image transmission.

9. An electronic device, characterized in that, include: A processor, and a memory and a transceiver communicatively connected to the processor; The memory stores computer-executed instructions; the transceiver is used for sending and receiving data. The processor executes computer execution instructions stored in the memory to implement the early warning method as described in any one of claims 1-5.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the early warning method as described in any one of claims 1-5.

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