Safety belt high-altitude operation monitoring anti-falling method and system and intelligent safety belt

Abstract

The invention discloses a safety belt high-altitude operation monitoring anti-falling method and system and an intelligent safety belt. The method comprises the following steps that a hanging induction mechanism detects hanging induction information in real time; the barometer performs real-time detection to obtain first air pressure data; the communication modules on the two hooks send the hanging sensing information and the first air pressure data to the waist host box in real time, and meanwhile the waist host box obtains the communication strength of the communication modules on the two hooks in real time; the waist host box obtains second air pressure data of a barometer on the waist host box in real time; the waist host box obtains first state information of the two hooks and second state information of the waist host box; and carrying out real-time safety monitoring judgment, and if the judgment result shows that safety violation or danger exists, carrying out early warning. According to the method, a multi-parameter fusion safety judgment system is constructed, and the accuracy and reliability of a monitoring result are greatly improved. Through collaborative analysis of multi-dimensional data, the problems of false alarm and missing alarm caused by single parameter monitoring are effectively avoided.

Description

Technical Field

[0001] This invention relates to the field of construction safety monitoring technology, and in particular, to a method for monitoring and preventing falls during high-altitude operations using safety belts. Background Technology

[0002] With increasingly stringent safety regulations for high-altitude operations in my country, high-altitude work safety has become a top priority in safety management for fields such as construction and power maintenance. Safety belts, as the last line of defense for the lives of high-altitude workers, are crucial to their proper wearing and use. However, traditional safety belts rely entirely on the worker's self-discipline and the visual supervision of safety officers, resulting in significant management blind spots and safety hazards. Workers may fail to properly fasten the hook to the effective anchor point due to operational negligence or a sense of complacency, or the hook may accidentally detach during operation. Such violations are difficult to detect in real time. Furthermore, existing safety monitoring methods often lack the comprehensive perception capability of key information such as hook fastening status and working environment height, making it impossible to accurately determine whether workers are in a safe working state. They often only respond passively after a fall accident occurs, failing to provide early warning and in-process intervention. Some monitoring equipment can only detect whether the hook is fastened, without combining other multi-dimensional data parameters for multi-dimensional analysis, leading to insufficient accuracy in monitoring results and a high risk of false alarms and missed alarms. Summary of the Invention

[0003] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a method for monitoring and preventing falls while working at height using safety belts.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows: A method for monitoring and preventing falls while working at height using a safety belt includes the following steps: S1, the anchoring sensing mechanisms on two hooks detect and obtain anchoring sensing information in real time, and send the anchoring sensing information to the communication modules on the hooks in real time; S2, the barometers on two hooks detect and obtain first air pressure data in real time, and send the air pressure data to the communication modules on the hooks in real time; S3, the communication modules on two hooks send the anchoring sensing information and the first air pressure data to the waist-mounted main unit box in real time, and at the same time, the waist-mounted main unit box obtains the communication strength of the communication modules on the two hooks in real time; S4, the waist-mounted main unit box obtains the second air pressure data from the barometers on the waist-mounted main unit box in real time; S5, the waist-mounted main unit box analyzes the second air pressure data, the anchoring sensing information, the first air pressure data, and the communication strength corresponding to the two hooks, and obtains the first status information of the two hooks and the second status information of the waist-mounted main unit box; S6, the waist-mounted main unit box performs real-time safety monitoring and judgment based on the first status information of the two hooks and the second status information of the waist-mounted main unit box, and if it determines that there is a safety violation or danger, it issues an early warning.

[0005] Furthermore, it also includes step S6, where the waist host box sends the host box MAC address, the first status information of the two hooks, the second status information of the waist host box, the security monitoring and judgment information from step S5, and the Beidou positioning data of the waist host box to the cloud server.

[0006] Furthermore, the first status information includes the hanging status, the altitude of the hook, and the distance between the hook and the waist-mounted main unit box; the second status information includes the altitude of the waist-mounted main unit box.

[0007] Furthermore, the altitude can be calculated using the following formula: ; The standard temperature at sea level is expressed in Kelvin (K). This represents the tropospheric temperature lapse rate, expressed in K / m. The air pressure at the measurement point is expressed in Pa. Standard atmospheric pressure at sea level, in Pa. is the gas constant for dry air, with units of m² / (s²・K); This refers to the acceleration due to gravity at the Earth's surface.

[0008] Furthermore, the distance between the hook and the waist-mounted main unit box It can be calculated using the following formula: ; The received signal strength; The signal strength when the transmitter and receiver are 1 meter apart; It is an environmental degradation factor.

[0009] Further, step S5 specifically includes: S51, real-time analysis of the hook's attachment status: if the hook's attachment status is "attached", then determine whether the distance between the hook and the waist-mounted main unit box is lower than a first preset threshold: if the distance between the hook and the waist-mounted main unit box is lower than the first preset threshold, then determine that the hook's status is "falsely attached"; if the distance between the hook and the waist-mounted main unit box is not lower than the first preset threshold, then determine that the hook's status is "truly attached"; determine whether at least one hook's status is "truly attached": if not, then determine that there is a safety violation; S52, real-time determination whether at least one hook's altitude is higher than the waist-mounted main unit box's altitude: if not, then determine that there is a safety violation.

[0010] Furthermore, step S5 also includes: S53, determining in real time whether the altitude of the waist host box has dropped more than a third preset threshold within a second preset time period: if yes, then it is determined that there is a risk of falling; if no, then step S54 is executed; S54, determining in real time whether the altitude of the waist host box has changed more than a second preset threshold within a continuous first preset time period: if yes, then it is determined that there is a risk of climbing up and down.

[0011] Furthermore, the warning process specifically includes: the voice module on the waist host box issuing warnings of violations and danger signals, and at the same time, the waist host box sending the violations and danger signals to the cloud server.

[0012] Furthermore, a safety belt high-altitude operation monitoring and fall prevention system includes: a hook-mounted sensing mechanism for real-time detection and acquisition of hook-mounted sensing information, and real-time transmission of the hook-mounted sensing information to a communication module on the hook; a barometer on the hook for real-time detection and acquisition of first air pressure data, and real-time transmission of the air pressure data to the communication module on the hook; a communication module on the hook for real-time transmission of the hook-mounted sensing information and the first air pressure data to a waist-mounted main unit; and a waist-mounted main unit for real-time acquisition of the communication strength of the communication modules on the two hooks and acquisition of the second air pressure data from the barometer on the waist-mounted main unit, and analysis of the second air pressure data, the hook-mounted sensing information, the first air pressure data, and the communication strength corresponding to the two hooks, acquisition of the first status information of the two hooks and the second status information of the waist-mounted main unit, and real-time safety monitoring and judgment based on the first status information of the two hooks and the second status information of the waist-mounted main unit, and issuing an early warning if a safety violation or danger is determined to exist.

[0013] This invention also provides a fall protection smart safety belt, comprising: a body strap for attaching to the human body, including a waist belt attached to the waist; two safety ropes, one end connected to the body strap and the other end connected to a hook; the hook is equipped with a barometer, a tethering sensing mechanism, and a communication module; the tethering sensing mechanism is used to detect and obtain tethering sensing information in real time and send the tethering sensing information to the communication module on the hook in real time; the barometer is used to detect and obtain first air pressure data in real time and send the air pressure data to the communication module on the hook in real time; the communication module is used to send the tethering sensing information and the first air pressure data to the communication module on the hook in real time. The waist-mounted main unit box, installed on the waist belt, contains a barometer and a Beidou positioning module. The waist-mounted main unit box is used to acquire in real-time communication strength data from the communication modules on the two hooks and to acquire the second air pressure data from the barometer on the waist-mounted main unit box. It analyzes the second air pressure data, the corresponding anchoring sensor information, the first air pressure data, and the communication strength of the two hooks to acquire the first status information of the two hooks and the second status information of the waist-mounted main unit box. Based on the first status information of the two hooks and the second status information of the waist-mounted main unit box, it performs real-time safety monitoring and judgment. If a safety violation or danger is detected, an early warning is issued.

[0014] The present invention has the following beneficial effects: By installing attachment sensing mechanisms on two hooks, the system can capture the core information of whether each hook is attached in real time and synchronize it to the waist-mounted main unit via a communication module, instantly detecting behaviors such as workers not attaching hooks or hooks accidentally falling off. Secondly, a multi-parameter fusion safety judgment system is constructed, significantly improving the accuracy and reliability of monitoring results. Unlike existing monitoring devices that can only detect the attachment status of a single hook, this method innovatively introduces two key parameters: air pressure data and communication strength. By collecting first and second air pressure data from barometers on the hook and waist-mounted main unit respectively, the relative height between the hook and the worker's waist can be accurately deduced, assisting in determining whether the hook is attached to a safe, high anchor point. Simultaneously, the real-time acquisition of the communication strength of the hook's communication module by the waist-mounted main unit can indirectly verify the relative positional relationship between the hook and the main unit. This multi-dimensional data collaborative analysis effectively avoids false alarms and missed alarms caused by single-parameter monitoring, making the safety status judgment more consistent with actual working scenarios and significantly enhancing the reliability of the judgment results.

[0015] In addition to the objectives, features, and advantages described above, the present invention has other objectives, features, and advantages. The invention will now be described in further detail with reference to the figures. Attached Figure Description

[0016] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart illustrating the method of the present invention; Figure 2 This is a schematic diagram of the mounting strip of the present invention. Detailed Implementation

[0017] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0018] 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 a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0019] It should be noted that all directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of the present invention are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indication will also change accordingly.

[0020] Furthermore, the use of terms such as "first" and "second" in this invention is for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature. Additionally, the technical solutions of the various embodiments can be combined with each other, but only on the basis of being achievable by those skilled in the art. When the combination of technical solutions is contradictory or impossible to implement, such a combination of technical solutions should be considered non-existent and not within the scope of protection claimed by this invention.

[0021] Please refer to Figure 1 The present invention provides a preferred embodiment of a safety belt high-altitude operation monitoring and fall prevention method, which includes steps S1, S2, S3, S4, S5, and S6.

[0022] S1, the tethering sensing mechanism on the two hooks detects and obtains tethering sensing information in real time, and sends the tethering sensing information to the communication module on the hook in real time.

[0023] S2, the barometers on the two hooks detect and obtain the first air pressure data in real time, and send the air pressure data to the communication module on the hook in real time.

[0024] S3, the communication modules on the two hooks send the tethering sensor information and the first air pressure data to the waist host box in real time, and at the same time the waist host box obtains the communication strength of the communication modules on the two hooks in real time.

[0025] S4, the waist-mounted main unit box acquires the second air pressure data from the barometer on the waist-mounted main unit box in real time.

[0026] S5, the waist-mounted main unit analyzes the second air pressure data, the hook-and-mount sensor information corresponding to the two hooks, the first air pressure data, and the communication strength, and obtains the first status information of the two hooks and the second status information of the waist-mounted main unit.

[0027] S6, the waist host box performs real-time safety monitoring and judgment based on the first status information of the two hooks and the second status information of the waist host box. If a safety violation or danger is determined, an early warning will be issued.

[0028] This invention provides a safety belt monitoring and fall prevention method for high-altitude operations. By installing attachment sensing mechanisms on two hooks, it can capture the core information of whether each hook is attached in real time and synchronize it to the waist-mounted main unit via a communication module, instantly detecting behaviors such as workers not attaching their safety belts or accidental hook detachment. Secondly, a multi-parameter fusion safety judgment system is constructed, significantly improving the accuracy and reliability of the monitoring results. Unlike existing monitoring devices that can only detect the attachment status of a single hook, this method innovatively introduces two key parameters: air pressure data and communication strength. By collecting first and second air pressure data from barometers on the hook and the waist-mounted main unit respectively, the relative height between the hook and the worker's waist can be accurately deduced, assisting in determining whether the hook is attached to a safe, high-position anchor point. Simultaneously, the real-time acquisition of the communication strength of the hook's communication module by the waist-mounted main unit can indirectly verify the relative positional relationship between the hook and the main unit. The collaborative analysis of multi-dimensional data effectively avoids the false alarms and missed alarms caused by single-parameter monitoring, making the safety status judgment more consistent with actual working scenarios and significantly enhancing the reliability of the judgment results. This safety belt-based high-altitude operation monitoring and fall prevention method addresses the core shortcomings of traditional safety belts and existing monitoring technologies, such as management blind spots, limited sensing capabilities, and delayed early warnings. Through multi-dimensional information collection and comprehensive intelligent analysis, it achieves real-time, accurate perception and dynamic tracking of the hook's attachment status, effectively solving the management challenges of traditional reliance on manual supervision. The waist-mounted main unit, as the data processing core, can analyze information from various dimensions in real time and output the status information of the hook and the main unit, thereby quickly completing safety monitoring and judgment. Once safety violations or dangerous situations such as unattached hooks, excessively low attachment positions, hook detachment, or abnormal equipment communication are identified, an early warning mechanism can be immediately activated, promptly reminding workers to rectify the situation through sound, light, and vibration. It also provides a window of opportunity for remote safety management personnel to intervene, completely changing the limitation of existing technologies that only respond passively after an accident occurs, minimizing the probability of falls and accident losses. This method is highly compatible, has controllable implementation costs, and has broad application value. Its core monitoring mechanism only needs to be integrated into existing equipment such as safety belt hooks and waist-mounted main units, without requiring large-scale modifications to the high-altitude operation scenario, and is easily integrated with existing safety management systems. Whether in traditional high-altitude operations such as building construction and power maintenance, or in emerging scenarios such as high-altitude installation and outdoor maintenance, it can be quickly adapted and applied, providing standardized and intelligent solutions for high-altitude operation safety protection in different industries.

[0029] In some embodiments of the present invention, step S6 is further included, whereby the waist-mounted main unit sends its MAC address, first status information of the two hooks, second status information of the waist-mounted main unit, safety monitoring and judgment information from step S5, and BeiDou positioning data of the waist-mounted main unit to the cloud server. By uploading the main unit's MAC address, hook and main unit status information, safety judgment information, and BeiDou positioning data to the cloud server via the waist-mounted main unit, remote centralized management of high-altitude operation safety data is achieved. The cloud server can collect the location information of workers and the working status of equipment in real time, facilitating remote monitoring of operations by safety management personnel, timely grasp of the overall high-altitude operation safety dynamics, providing data support for safety supervision, and also providing complete data evidence for subsequent operation safety analysis and violation tracing.

[0030] In some embodiments of the present invention, the first state information includes the hanging status, the altitude of the hook, and the distance between the hook and the waist-mounted main unit box; the second state information includes the altitude of the waist-mounted main unit box. This provides multi-dimensional data information for subsequent analysis and judgment. By accurately defining core state parameters, it provides specific and quantifiable analytical basis for the safety determination of the waist-mounted main unit box, avoiding judgment bias caused by ambiguous data.

[0031] In some embodiments of the present invention, the altitude can be calculated according to the following formula: ; Temperature at sea level; This refers to the tropospheric temperature lapse rate. The air pressure at the measurement point, Standard atmospheric pressure at sea level. The gas constant for dry air. The system utilizes the acceleration due to gravity at the Earth's surface. It achieves precise calculation of the altitude of the hook and the main unit at the waist, taking into account the influence of tropospheric temperature. This allows for accurate deduction of the actual height of the worker and the hook, providing precise data support for determining whether the hook is securely anchored at a safe height and whether the worker is in a dangerous height range. This solves the problems of inaccurate height measurement and lack of a unified calculation standard in existing technologies.

[0032] In some embodiments of the present invention, the distance between the hook and the waist-mounted main unit box... It can be calculated using the following formula: ; The received signal strength; The signal strength when the transmitter and receiver are 1 meter apart; The environmental attenuation factor is used. A specific formula converts the signal strength index (RSSI) into the actual distance between the hook and the waist-mounted main unit, enabling quantitative sensing of the relative position between devices. This calculation method utilizes signal attenuation principles to accurately reflect the spatial distance relationship between the hook and the worker, providing crucial data for distinguishing between genuine and false hooks. It effectively prevents workers from attaching hooks to their clothing, safety belts, or other non-effective anchor points, filling a gap in existing technologies that cannot accurately determine the effectiveness of hook attachments.

[0033] In some embodiments of the present invention, step S5 specifically includes steps S51 and S52.

[0034] S51, Real-time analysis of the hook's attachment status: If the hook is attached, determine whether the distance between the hook and the waist-mounted main unit box is lower than a first preset threshold. If the distance between the hook and the waist-mounted main unit box is lower than the first preset threshold, the hook is determined to be falsely attached, meaning the hook is not attached to the required high position and is instead attached to the strap on the body. If the distance between the hook and the waist-mounted main unit box is not lower than the first preset threshold, the hook is determined to be truly attached, meaning the hook is attached to the required high position.

[0035] Determine if at least one hook is truly hooked: if not, a safety violation is deemed to have occurred. That is, if two hooks are unhooked or falsely hooked, the safety requirements are not met; at least one hook must be truly hooked to provide adequate protection.

[0036] S52, in real time determines whether at least one hook is at an altitude higher than the waist-level host box: If not, a security violation is determined. A multi-level security violation identification system is constructed through a step-by-step, detailed judgment logic.

[0037] Step S51 distinguishes between genuine and fake hooks to ensure the validity of the hooking behavior; the second step requires that at least one hook be at an altitude higher than the host box to ensure the safety of the hooking position. These two progressively strict judgments comprehensively cover core violation scenarios such as "unhooked," "fake hooked," and "low-mounted, high-use." This judgment logic is highly targeted, accurately identifying key security risks and solving the problem of incomplete identification of violation scenarios in existing monitoring technologies, making violation judgments more targeted and authoritative.

[0038] In some embodiments of the present invention, step S5 further includes steps S53 and S54.

[0039] S53, determine in real time whether the altitude of the waist host box has dropped more than the third preset threshold within the second preset time period: if yes, determine that there is a risk of falling; if no, proceed to step S54.

[0040] S54, in real time, determine whether the altitude of the host box at the waist changes more than the second preset threshold within a continuous first preset time period: if so, determine that there is a danger of climbing up and down.

[0041] By adjusting the logical sequence of hazard assessment, the core criterion for determining fall hazard is first that the drop in altitude of the main unit at the waist exceeds a third preset threshold within a second preset time period. Then, the hazard of climbing is determined by a change in altitude exceeding a second preset threshold within a continuous first preset time period. This achieves graded and precise identification of hazardous scenarios. Optimizing the logical judgment steps avoids falling into the climbing hazard assessment when a fall hazard already exists. For fall hazards, it can detect the risk immediately, providing workers with shorter warning response time and minimizing injuries from falls. By using the criterion of continuous altitude change within a continuous time period, it accurately identifies climbing behavior, ensuring real-time management of safety risks during worker movement, further improving the coverage of safety monitoring scenarios and making hazard assessment more targeted and timely.

[0042] Specifically, the first preset duration is 3 seconds, the second preset threshold is 20 centimeters, the second preset duration is 1 second, and the third preset threshold is 50 centimeters.

[0043] In some embodiments of the present invention, the early warning specifically includes: the voice module on the waist-mounted host box issuing warnings of violations and danger signals, and simultaneously sending the violations and danger signals to the cloud server. The explicit early warning method includes voice prompts from the waist-mounted host box and signal transmission from the cloud server, realizing a dual early warning mechanism of immediate on-site reminders and synchronous remote alarms. The voice module can immediately issue violation or danger warnings to operators, urging them to rectify the situation promptly; the simultaneous signal transmission to the cloud allows remote management personnel to quickly become aware of dangerous situations and take intervention measures when necessary, forming a coordinated protection system between the on-site and remote locations, maximizing the effectiveness of the early warning.

[0044] The present invention also provides a safety belt high-altitude operation monitoring and fall prevention system, including a hook-mounted sensing mechanism, a barometer on the hook, a communication module on the hook, and a waist-mounted main unit box.

[0045] The hook's attachment sensing mechanism is used to detect and obtain attachment sensing information in real time, and then transmit this information to the communication module on the hook. The attachment sensing mechanism is installed on the hook to sense whether the hook is attached to other structures. For example, the attachment sensing mechanism includes a sensing arm and a sensing element. The sensing arm is movably mounted on the upper end of the hook. When the hook is attached to other structures (such as a wire rope), the sensing arm is pushed by the other structure (such as the wire rope) and triggers the sensing element (such as a switch or pressure sensor), thereby detecting whether the hook is attached to other structures.

[0046] The barometer on the hook is used to detect and obtain the first air pressure data in real time, and then send the air pressure data to the communication module on the hook in real time.

[0047] The communication module on the hook is used to send the attachment sensor information and initial air pressure data to the waist-mounted main unit in real time. The communication module can be a wireless communication module to enable wireless communication.

[0048] The waist-mounted main unit is used to acquire the communication strength of the communication modules on the two hooks and the second air pressure data from the barometer on the waist-mounted main unit in real time. It analyzes the second air pressure data, along with the corresponding anchorage sensor information, first air pressure data, and communication strength of the two hooks, to obtain the first status information of the two hooks and the second status information of the waist-mounted main unit. Based on the first status information of the two hooks and the second status information of the waist-mounted main unit, it performs real-time safety monitoring and judgment. If a safety violation or danger is determined, an early warning is issued. The anchorage sensor mechanism and barometer are responsible for data acquisition, the communication modules are responsible for data transmission, and the waist-mounted main unit is responsible for analysis, judgment, and early warning. The coordinated operation of these components ensures a smooth and efficient monitoring process. The components can be directly integrated into existing seat belt components without the need for additional complex equipment, achieving seamless integration of monitoring functions with traditional seat belts, balancing practicality and compatibility.

[0049] Reference Figure 2 The present invention also provides a fall protection smart safety belt, including a body strap, at least two safety ropes, and a waist main unit box.

[0050] Body strap 100, used to be attached to the human body, including waist strap 110 attached to the waist of the human body.

[0051] Two safety ropes 200 are connected at one end to the body harness 100 and at the other end to a hook 300. The hook 300 is equipped with a barometer, a tethering sensor mechanism, and a communication module. The tethering sensor mechanism detects and obtains tethering information in real time and sends this information to the communication module on the hook. The barometer on the hook detects and obtains initial air pressure data in real time and sends this data to the communication module. The communication module transmits the tethering information and the initial air pressure data to the waist-mounted control unit in real time. The barometer, tethering sensor mechanism, and communication module can be integrated into an electrical control box 400, which is mounted on the hook 300.

[0052] The waist-mounted main unit 500, installed on the waist belt 110, contains a barometer and a Beidou positioning module. The main unit acquires real-time communication strength data from the communication modules on the two hooks and the second air pressure data from the barometer on the main unit. It analyzes the second air pressure data, the corresponding anchoring sensor information, the first air pressure data, and the communication strength of the two hooks to obtain the first status information of the two hooks and the second status information of the main unit. Based on these information, real-time safety monitoring and judgment are performed. If a safety violation or danger is detected, an early warning is issued. This integration of monitoring technology with the safety belt's physical structure forms an integrated intelligent fall protection safety belt, achieving organic unity between protective equipment and monitoring devices. Workers do not need to carry additional monitoring instruments; they can complete the entire safety monitoring process simply by wearing the intelligent safety belt, reducing the burden of carrying equipment and improving operational convenience. Furthermore, the integrated monitoring components (barometer, sensing mechanism, communication module) are integrated into the hooks and the waist-mounted main unit, with a reasonable structural design that does not affect the normal wearing and use of the safety belt.

[0053] The above are merely preferred embodiments of the present invention and are not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for monitoring and preventing falls during high-altitude operations using safety belts, characterized in that, Includes the following steps: S1, the tethering sensing mechanism on the two hooks detects and obtains tethering sensing information in real time, and sends the tethering sensing information to the communication module on the hook in real time; S2, the barometers on the two hooks detect and obtain the first air pressure data in real time, and send the air pressure data to the communication module on the hook in real time; S3, the communication modules on the two hooks send the tethering sensor information and the first air pressure data to the waist host box in real time, and at the same time the waist host box obtains the communication strength of the communication modules on the two hooks in real time. S4, the waist host box acquires the second air pressure data from the barometer on the waist host box in real time; S5, the waist-mounted main unit analyzes the second air pressure data and the corresponding hook-hanging sensor information, first air pressure data and communication strength of the two hooks, and obtains the first status information of the two hooks and the second status information of the waist-mounted main unit; S6, the waist host box performs real-time safety monitoring and judgment based on the first status information of the two hooks and the second status information of the waist host box. If a safety violation or danger is determined, an early warning will be issued.

2. The method for monitoring and preventing falls during high-altitude operations with safety belts according to claim 1, characterized in that, It also includes step S6, where the waist host box sends the host box MAC address, the first status information of the two hooks, the second status information of the waist host box, the security monitoring and judgment information from step S5, and the Beidou positioning data of the waist host box to the cloud server.

3. The method for monitoring and preventing falls during high-altitude operations using safety belts according to claim 1, characterized in that, The first status information includes the hanging status, the altitude of the hook, and the distance between the hook and the waist-mounted main unit box; the second status information includes the altitude of the waist-mounted main unit box.

4. The method for monitoring and preventing falls during high-altitude operations with safety belts according to claim 3, characterized in that, The altitude can be calculated using the following formula: ; Temperature at sea level; This refers to the tropospheric temperature lapse rate. The air pressure at the measurement point, Standard atmospheric pressure at sea level. The gas constant for dry air. This refers to the acceleration due to gravity at the Earth's surface.

5. The method for monitoring and preventing falls during high-altitude operations with safety belts according to claim 1, characterized in that, The distance between the hook and the waist-mounted main unit box It can be calculated using the following formula: ； The received signal strength; The signal strength when the transmitter and receiver are 1 meter apart; It is an environmental degradation factor.

6. The method for monitoring and preventing falls during high-altitude operations using safety belts according to claim 1, characterized in that, Step S5 specifically includes: S51, Real-time analysis of hook attachment status: If the hook is in the hooked state, then determine whether the distance between the hook and the waist host box is lower than the first preset threshold: if the distance between the hook and the waist host box is lower than the first preset threshold, then determine that the hook is in the false hooked state; if the distance between the hook and the waist host box is not lower than the first preset threshold, then determine that the hook is in the true hooked state. Determine if at least one hook exists in the state of being truly hooked: If not, then a safety violation is determined. S52, in real time determines whether at least one hook is at an altitude higher than the waist-level host box: If not, then a safety violation is determined.

7. The method for monitoring and preventing falls during high-altitude operations with safety belts according to claim 1, characterized in that, Step S5 also includes: S53, in real time, determines whether the altitude of the host box at the waist level has dropped more than a third preset threshold within a second preset time period: If so, then there is a risk of falling. If not, proceed to step S54; S54, Real-time determination of whether the altitude change of the host box at the waist exceeds a second preset threshold within a continuous first preset time period: If so, then it is determined that there is a danger of climbing up or down.

8. The method for monitoring and preventing falls during high-altitude operations using safety belts according to claim 1, characterized in that, The aforementioned early warning specifically includes: The voice module on the waist host box issues warnings of violations and danger signals, and at the same time, the waist host box sends the violations and danger signals to the cloud server.

9. A safety belt high-altitude operation monitoring and fall prevention system, characterized in that, include: The hook's attachment sensing mechanism is used to detect and obtain attachment sensing information in real time, and send the attachment sensing information to the communication module on the hook in real time; The barometer on the hook is used to detect and obtain the first air pressure data in real time, and send the air pressure data to the communication module on the hook in real time; The communication module on the hook is used to send the attachment sensor information and the first air pressure data to the waist host box in real time; The waist-mounted main unit is used to acquire in real time the communication strength of the communication modules on the two hooks and the second air pressure data of the barometer on the waist-mounted main unit. It analyzes the second air pressure data, the corresponding hook-hanging sensor information, the first air pressure data, and the communication strength of the two hooks, acquires the first status information of the two hooks and the second status information of the waist-mounted main unit, and then performs real-time safety monitoring and judgment based on the first status information of the two hooks and the second status information of the waist-mounted main unit. If a safety violation or danger is determined, an early warning is issued.

10. A smart safety belt for fall prevention, characterized in that, include: Body straps are used to attach to the human body, including waist straps that are attached to the waist. Two safety ropes are connected at one end to the body harness and at the other end to a hook. The hook is equipped with a barometer, a tethering sensor, and a communication module. The tethering sensor is used to detect and obtain tethering information in real time and send it to the communication module on the hook. The barometer is used to detect and obtain first air pressure data in real time and send the air pressure data to the communication module on the hook. The communication module is used to send the tethering information and the first air pressure data to the waist-mounted main unit in real time. The waist-mounted main unit, installed on the waist belt, contains a barometer and a Beidou positioning module. The main unit is used to acquire real-time communication strength data from the communication modules on the two hooks and to obtain the second air pressure data from the barometer on the main unit. It analyzes the second air pressure data, the corresponding hook-mounting sensor information, the first air pressure data, and the communication strength to obtain the first status information of the two hooks and the second status information of the main unit. Based on the first status information of the two hooks and the second status information of the main unit, it performs real-time safety monitoring and judgment. If a safety violation or danger is detected, an early warning is issued.

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