A multi-state smart seat belt apparatus

Abstract

The utility model discloses a kind of multi-state intelligent safety belt equipment, it is related to aerial work safety protection and intelligent monitoring field, safety belt equipment configuration is to the body state of climbing operation personnel, climbing progress and the abnormal early warning early warning monitoring equipment of a variety of safety protection equipment wearing state is monitored and carried out in real time, this early warning monitoring equipment includes: host computer, attitude sensor array bus, radio frequency transmitter, radio frequency receiver, barometer, air pressure calibrator, bluetooth bracelet and remote monitoring center;This kind of safety belt equipment is cooperatively set through host computer, attitude sensor array bus, radio frequency device, air pressure monitoring unit and bluetooth bracelet, constitutes a set of equipment state perception, personnel physiological monitoring and operation progress management in one all-around intelligent safety monitoring scheme, and it can realize to the real-time monitoring and intelligent early warning of multi-dimensional safety risk of climbing operation whole process.

Description

Technical Field

[0001] This utility model belongs to the field of high-altitude operation safety protection and intelligent monitoring, specifically a multi-mode intelligent safety belt device. Background Technology

[0002] In traditional work models, especially in typical scenarios such as climbing power grid towers and pole work, although workers use various safety protection equipment such as pole harnesses, safety ropes, differential locks, and self-locking devices, the implementation of these measures relies heavily on the workers' self-discipline and experience, lacking objective and reliable automated monitoring methods. This management model, which depends on human attention, has obvious loopholes and cannot fundamentally guarantee that safety procedures are strictly enforced.

[0003] In recent years, some technological solutions for monitoring the wearing status of safety belts using sensors have emerged in the market. These include using UWB technology to determine whether a belt is worn too low or too high, or modifying the safety belt hook (e.g., adding a physical pressure plate) to monitor the hook's status. However, these technologies have significant limitations: their functions are mainly focused on alarming abnormal wearing of double-hook or single-hook safety belts, representing isolated innovations. For the comprehensive abnormal usage status (such as twisting, loose attachment, or improper wrapping) of various safety protection equipment commonly used in high-altitude operations in industries like power grids, such as self-locking devices, pole harnesses, safety ropes, and differential locks, there is a lack of effective, integrated monitoring methods. Furthermore, existing solutions fail to cover complex and varied application scenarios such as tower climbing, pole work, scaffold erection, and conductor routing, and cannot achieve real-time perception of the physical condition and work progress of personnel working at heights, creating blind spots in safety monitoring.

[0004] In summary, the existing technology has the following core problems that need to be solved:

[0005] Limited monitoring scope: It cannot systematically and comprehensively assess the overall compliance of various safety protection equipment such as self-locking devices, guardrails, safety ropes, and differential locks.

[0006] Application scenarios are lacking: It fails to effectively adapt to the complex and continuous work processes and spatial changes in power grid high-altitude operations.

[0007] Single safety element: Lack of integrated monitoring of key safety elements such as the physiological status of workers (e.g., heart rate, blood oxygen) and real-time progress of climbing.

[0008] Therefore, there is an urgent need in this field for a comprehensive intelligent early warning and monitoring solution that can fully cover the status of various safety equipment, the physiological status of personnel and the progress of operations, and is applicable to complex high-altitude scenarios. Utility Model Content

[0009] The purpose of this invention is to provide a multi-state intelligent safety belt device to solve the problems in the existing technology that it is impossible to monitor the comprehensive usage status of various safety protection equipment of workers working at heights in real time, impossible to perceive the physiological status and work progress of personnel in real time, and that various safety information is isolated and cannot be linked for early warning.

[0010] To achieve the above objectives, this utility model provides the following technical solution: a multi-state intelligent safety belt device, wherein the safety belt device is configured as an early warning monitoring device for real-time monitoring and abnormal warning of the physical condition of workers engaged in high-altitude operations, their progress in climbing, and the wearing status of various safety protective equipment, the early warning monitoring device comprising:

[0011] The main unit is fixedly installed at the main hook on the back of the seat belt. It integrates a main control module, a multi-mode communication interface, a motion sensing unit, and an audible and visual alarm. It is used to coordinate the data acquisition of various sensors, perform local analysis and decision-making, and establish a data link with the remote monitoring center.

[0012] The attitude sensor array bus is a flexible bus, which is integrally formed by multiple attitude sensor nodes through a glue injection process. This flexible bus is embedded in the load-bearing section of the safety protection equipment to collect its three-dimensional attitude data in real time and reconstruct the spatial topology of the safety protection equipment based on the three-dimensional attitude data.

[0013] The radio frequency transmitter is provided in several parts, which are respectively embedded in the shoulder support belt and waist restraint device of the safety belt;

[0014] The radio frequency receiver is installed at the end of the safety rope hook (i.e., the farthest end of the safety rope array data bus or the tail node near the hook), and it integrates a radio frequency signal receiving module and a 485 communication module.

[0015] The barometer, integrated inside the main unit, is connected to the main control module via an I2C communication interface and is used to collect real-time ambient air pressure data.

[0016] The barometric calibrator is deployed at the starting point of the climbing operation (such as the ground, tower base or safety platform). It integrates a high-precision barometric pressure sensor and a network communication module to collect and upload reference barometric pressure values ​​to the cloud before the start of the operation or at a specific reference position. The barometric calibrator combines the real-time barometric pressure data collected by the host to calculate and monitor the real-time height and operation progress of the climbers through a barometric height algorithm.

[0017] The Bluetooth wristband, worn on the wrist of a person climbing at heights, integrates a main control unit, a Bluetooth communication module, a heart rate and blood oxygen sensor, and a display module. It is used to collect the wearer's heart rate and blood oxygen saturation data in real time and send the data to the main unit via Bluetooth broadcast.

[0018] Preferably, the safety protection equipment includes, but is not limited to, self-locking devices, pole straps, safety ropes, and differential locks.

[0019] Preferably, the radio frequency transmitter has a built-in triaxial accelerometer for periodically transmitting radio frequency signals within a specific range when it detects that a person is working at height.

[0020] Preferably, the radio frequency receiver receives the radio frequency signal emitted by the radio frequency transmitter through the radio frequency signal receiving module. When the radio frequency receiver is within the effective signal coverage range of the radio frequency transmitter, it indicates that the safety rope hook is too close to the worker's body, which may pose a risk of low hanging or close-to-body hooking. The system marks this state as a potential violation state and further determines whether to trigger a safety warning by combining other sensor data.

[0021] Preferably, the early warning and monitoring equipment also includes a remote monitoring center, which is deployed on a cloud server or monitoring platform.

[0022] Preferably, the host connects to the Bluetooth wristband via a built-in Bluetooth module. After scanning and obtaining Bluetooth information, the host uploads it to the remote monitoring center via the network communication module to achieve real-time monitoring and early warning of abnormalities in the physical condition of people climbing heights.

[0023] Preferably, the early warning and monitoring equipment is used to receive multi-source data (including attitude data, barometric altitude data, radio frequency status data, heart rate and blood oxygen data, etc.) uploaded by the host through the network communication module, and to perform comprehensive analysis, storage, and visualization. When any abnormal wearing of safety protective equipment is detected (such as not wearing, close-fitting buckle, twisted, or unattached), abnormal climbing height, or personnel's heart rate and blood oxygen indicators exceeding the safe range, the remote monitoring center triggers local and remote alarm mechanisms to notify supervisory personnel to intervene in a timely manner, effectively reducing operational risks and improving the level of safety management.

[0024] Compared with existing technologies, this utility model has the following beneficial effects: Through the coordinated setup of a host computer, attitude sensor array bus, radio frequency device, air pressure monitoring unit, and Bluetooth wristband, this utility model constitutes a comprehensive intelligent safety monitoring solution integrating equipment status perception, personnel physiological monitoring, and work progress management. It can achieve real-time monitoring and intelligent early warning of multi-dimensional safety risks throughout the entire process of high-altitude operations, meeting the urgent needs of modern high-altitude work scenarios for refined, intelligent, and systematic safety management. Specific technical effects include the following:

[0025] 1. By integrating an attitude sensor array bus and flexibly installing it on the load-bearing section of the safety protection equipment, it can collect three-dimensional attitude data of each piece of equipment in real time and reconstruct its spatial topology. This allows for accurate judgment of the wearing status and compliance of key protective equipment such as self-locking devices, safety ropes, pole straps, and speed differentials (e.g., whether they are unattached, hooked close to the body, twisted, etc.). This solves the problem of traditional technologies being unable to perceive and identify the comprehensive usage status of multiple types of protective equipment in real time, and significantly improves the standardization of equipment use and operational safety.

[0026] 2. By setting up radio frequency transmitters and receivers, the effective coverage range of radio frequency signals is used to determine the hooking status of key equipment such as safety ropes. This can effectively identify violations such as unhooked safety ropes and hooking them close to the body. By combining the presence and strength of radio frequency signals for logical judgment, intelligent auxiliary identification of the usage status of safety protection equipment is realized. This makes up for the shortcomings of traditional physical detection methods that cannot perceive the usage status of equipment in real time, and enhances the dynamic monitoring capability during operation.

[0027] 3. By combining the barometer integrated into the host unit with the barometer deployed at the start point of the operation, a differential barometric altitude monitoring solution was constructed, which can accurately calculate and monitor the absolute height of the personnel climbing the height and the progress of the operation in real time. Attached Figure Description

[0028] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this utility model. For those skilled in the art, other drawings can be obtained based on these drawings.

[0029] Figure 1 This is a block diagram of the modules of this utility model;

[0030] Figure 2 This is a schematic diagram of the module communication principle in an embodiment of this utility model;

[0031] Figure 3 This is an application illustration of an embodiment of the present utility model. Figure 1 ;

[0032] Figure 4 This is an application illustration of an embodiment of the present utility model. Figure 2 .

[0033] In the picture:

[0034] 1. Poles and poles; 2. Poles and poles array data bus; 3. Self-locking device attitude sensor; 4. Radio frequency transmitter; 5. Concrete pillar; 6. Barometer; 7. Main unit; 8. Speed ​​difference device attitude sensor; 9. Radio frequency receiver; 10. Safety rope array data bus; 11. Bluetooth wristband; 12. Barometer calibrator. Detailed Implementation

[0035] To enable those skilled in the art to better understand the technical solution of this utility model, the present utility model will be further described in detail below with reference to the accompanying drawings.

[0036] As attached Figure 1 To be continued Figure 4 As shown:

[0037] Example 1: This utility model provides a multi-state intelligent safety belt device. The safety belt device is configured as a warning monitoring device for real-time monitoring and abnormal warning of the physical condition of the person working at height, the progress of the height climb, and the wearing status of various safety protection equipment (self-locking device, pole strap 1, safety rope and speed difference device). The warning monitoring device includes: host 7, attitude sensor array bus, radio frequency transmitter 4, radio frequency receiver 9, barometer 6, barometer calibrator 12, Bluetooth wristband 11 and remote monitoring center.

[0038] 1. In one embodiment of this utility model, the host 7 is fixedly installed at the main hook on the back of the seat belt. It integrates a main control module, a multi-mode communication interface, a motion sensing unit and an audible and visual alarm, which are used to coordinate the data acquisition of various sensors, perform local analysis and decision-making and establish a data link with the remote monitoring center.

[0039] 2. In one embodiment of this utility model, the attitude sensor array bus is a flexible bus, which is integrally formed by multiple attitude sensor nodes through a glue injection process; the flexible bus includes a pole belt array data bus 2, a self-locking device attitude sensor 3, a speed difference device attitude sensor 8, and a safety rope array data bus 10. The pole belt array data bus 2 and the safety rope array data bus 10 are respectively embedded in the load-bearing sections of the safety rope and the pole belt 1, for real-time acquisition of the three-dimensional attitude data of each node, and reconstruction of the spatial topology of the safety protection equipment based on the three-dimensional attitude data.

[0040] 3. In one embodiment of this utility model, there are several radio frequency transmitters 4, which are respectively embedded in the shoulder support belt and waist restraint device of the safety belt. The radio frequency transmitter 4 has a built-in triaxial accelerometer, which is used to periodically transmit radio frequency signals within a specific range when it detects that a person is in a high-altitude operation state.

[0041] 4. In one embodiment of this utility model, the radio frequency receiver 9 is installed at the end of the safety rope hook (i.e., the farthest end of the safety rope array data bus 10 or the tail node near the hook), integrating a radio frequency signal receiving module and a 485 communication module, for receiving radio frequency signals emitted from the shoulder and waist radio frequency transmitter 4; when the radio frequency receiver 9 is within the effective signal coverage range of the radio frequency transmitter 4, it indicates that the distance between the safety rope hook and the worker's body is relatively close, and the system regards this state as a potential violation of low hanging or close-to-body hooking, and further analyzes it in combination with attitude sensor data and height information.

[0042] 5. In one embodiment of this utility model, the barometer 6 is integrated inside the host 7 and connected to the main control module through the I2C communication interface for real-time acquisition of current environmental air pressure data.

[0043] 6. In one embodiment of this utility model, the air pressure calibrator 12 is deployed at the starting point of the climbing operation (such as the ground, the base of the iron tower or the safety platform). It integrates a high-precision air pressure sensor and a network communication module to collect and upload reference air pressure values ​​to the cloud before the start of the operation or at a specific reference position. The air pressure calibrator 12 is combined with the real-time air pressure data collected by the host 7 to calculate and monitor the real-time height and operation progress of the climbing personnel through the air pressure height algorithm.

[0044] 7. In one embodiment of this utility model, the Bluetooth bracelet 11 is worn on the wrist of the person climbing the height. It integrates a bracelet main controller, a Bluetooth communication module, a heart rate and blood oxygen sensor, and a display module. It is used to collect the wearer's heart rate and blood oxygen saturation data in real time and send the data to the host 7 via Bluetooth broadcast. After the host 7 obtains the information by scanning with the built-in Bluetooth module, it uploads it to the remote monitoring center through the network communication module to realize real-time monitoring and abnormal warning of the physical condition of the person climbing the height.

[0045] 8. In one embodiment of this utility model, the remote monitoring center is deployed on a cloud server or monitoring platform to receive multi-source data (including attitude data, barometric altitude data, radio frequency status data, heart rate and blood oxygen data, etc.) uploaded by the host 7 through the network communication module, and to perform comprehensive analysis, storage and visualization; when any abnormal wearing of safety protective equipment is detected (such as not wearing, close-fitting buckle, twisted, or unattached), abnormal climbing height, or personnel's heart rate and blood oxygen indicators exceeding the safe range, the remote monitoring center triggers local and remote alarm mechanisms to notify supervisory personnel to intervene in a timely manner, effectively reducing operational risks and improving the level of safety management.

[0046] The method for determining abnormal conditions of the safety rope includes: embedding an attitude sensor array bus inside the safety rope, integrating a radio frequency receiver 9 at its end hook, and placing radio frequency transmitters 4 at the shoulder and waist of the safety belt, forming a composite monitoring system. The host 7 acquires motion data from all sensor nodes via the bus, reconstructs the three-dimensional spatial curve of the safety rope in real time, and compares it with the standard attitude database to determine whether there are attitude abnormalities such as twisting or entanglement. At the same time, the system determines the attachment status and spatial position of the safety rope hook through the radio frequency signal link status. When the system detects that the hook is in a low position close to the body, has an abnormal attitude, or does not meet the principle of high attachment and low use, it will trigger local and remote alarms.

[0047] The method for determining abnormalities in the self-locking device is as follows: An independent attitude sensor node is integrated inside the self-locking device body. This node communicates with the host 7 via a bus and continuously reports its own three-dimensional attitude data. Based on this data, the host 7 uses a built-in algorithm to accurately calculate and determine whether the self-locking device is worn correctly and whether its spatial attitude is within the preset safe working range (such as whether it is in a reliable locking attitude). If it is detected that the device is not worn or the attitude is violated, the system will activate an audible and visual alarm and upload status information.

[0048] The method for monitoring the physical condition of personnel working at heights is as follows: Each worker is equipped with a Bluetooth wristband 11 with an integrated heart rate and blood oxygen saturation sensor. The wristband continuously collects and displays the user's physiological data locally. Simultaneously, the wristband wirelessly transmits heart rate and blood oxygen saturation data to the host unit 7 via Bluetooth broadcast mode. The host unit 7 scans and receives this information via its built-in Bluetooth module and then uploads it to a remote monitoring center via a network communication module, thereby achieving real-time remote monitoring and abnormal warning of the personnel's vital signs.

[0049] Working principle: Based on the above embodiments, the principle for determining abnormal seat belt posture (taking the simultaneous use of the self-locking device, guardrail strap 1, safety rope, and differential lock as an example) includes the following:

[0050] S1. Data Acquisition: The host 7 communicates with the self-locking device attitude sensor 3, the speed difference device attitude sensor 8, the pole belt attitude sensor array 1, and the safety rope attitude sensor array in sequence through the communication bus to acquire the attitude data of all sensor nodes, including acceleration, angular velocity, magnetometer data, and the pitch angle and azimuth angle calculated from them.

[0051] S2. Spatial Attitude Calculation: Based on the collected data, the host 7 calculates the spatial attitude and position of each piece of equipment.

[0052] Self-locking device and speed difference device: directly calculate its three-dimensional spatial attitude based on the data from its independent attitude sensor;

[0053] Poles Belt 1 and Safety Rope: Based on the data from each node in its sensor array, the three-dimensional spatial curves of Poles Belt 1 and Safety Rope are calculated using a spatial curve reconstruction algorithm;

[0054] Safety rope hook status: Determine whether the safety rope hook is in the close-to-body hook state based on the signal status of the radio frequency receiver 9 at the end of the safety rope;

[0055] The specific implementation method for space curve reconstruction is as follows:

[0056] By utilizing the pitch angles of adjacent nodes, the length between nodes is projected onto the gravitational direction and the horizontal direction;

[0057] By using the azimuth angles of adjacent nodes, the horizontal projection length is decomposed into the north-north direction (Y-axis) and the east-east direction (X-axis);

[0058] By accumulating the projected lengths along each axis, starting from the initial node, the coordinates of each node in the three-dimensional coordinate system are calculated, and finally connected to form a complete spatial curve.

[0059] S3. Wearing Status Judgment: The system continuously tracks sensor data from the self-locking device, differential lock, pole strap 1, and safety rope, and uses the following logic to determine whether they are being worn correctly:

[0060] The pitch angle of host 7 is greater than a certain threshold on the horizontal plane (indicating that the personnel are in a climbing posture);

[0061] The sensor data of each piece of equipment changes less than the threshold over multiple cycles (indicating that the equipment is in a static working state under stress, rather than idle).

[0062] If all of the above conditions are met, it is determined that the mask is being worn; otherwise, it is determined that the mask is not being worn.

[0063] S4. Compliance Status Comparison: The spatial curves of the safety rope and the guardrail 1 calculated in S2 are compared with the preset safety rope curve database and guardrail 1 curve database respectively. The database contains standard spatial curves for various compliant and non-compliant states (for example, the curve of a compliant suspended safety rope is a parabola opening upwards). By setting a similarity threshold, the actual curve is matched with the most similar candidate state in the database to determine whether the current usage status is compliant.

[0064] S5. Alarm Decision: The remote monitoring center (system center) makes a decision based on the wearing judgment result of S3 and the compliance status comparison result of S4:

[0065] When the system detects that the device is not being worn, is in violation of regulations, or is in an unknown state, it will continuously track the device multiple times to prevent false alarms and trigger an alarm upon confirmation.

[0066] When the status is compliant, if the status is continuously compliant, a security warning signal will be output.

[0067] S6. When the decision result indicates that an alarm is required, the system immediately activates the local audible and visual alarm to alert the operators; at the same time, the alarm information is uploaded to the remote monitoring center through the network notification module and simultaneously pushed to the supervisor's WeChat mini-program for timely intervention.

[0068] The foregoing description only illustrates certain exemplary embodiments of the present invention. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A multi-state intelligent safety belt device, wherein the safety belt device is configured as an early warning monitoring device for real-time monitoring and abnormal warning of the physical condition of workers engaged in high-altitude operations, their progress in climbing, and the wearing status of various safety protective equipment, characterized in that: The early warning and monitoring equipment includes: The host (7) is fixedly installed at the main hook on the back of the seat belt. It integrates a main control module, a multi-mode communication interface, a motion sensing unit and an audible and visual alarm. It is used to coordinate the data acquisition of each sensor, perform local analysis and decision-making and establish a data link with the remote monitoring center. The attitude sensor array bus is a flexible bus, which is integrally formed by multiple attitude sensor nodes through a glue injection process. This flexible bus is embedded in the load-bearing section of the safety protection equipment to collect its three-dimensional attitude data in real time and reconstruct the spatial topology of the safety protection equipment based on the three-dimensional attitude data. The radio frequency transmitter (4) is provided in several parts, which are respectively embedded in the shoulder support belt and waist restraint device of the safety belt; The radio frequency receiver (9) is installed at the end of the safety rope hook and integrates a radio frequency signal receiving module and a 485 communication module. The barometer (6) is integrated inside the host (7) and is connected to the main control module through the I2C communication interface for real-time collection of current environmental air pressure data; The air pressure calibrator (12) is deployed at the starting point of the climbing operation. It integrates a high-precision air pressure sensor and a network communication module to collect and upload reference air pressure values ​​to the cloud before the start of the operation or at a specific reference position. The air pressure calibrator (12) combines with the real-time air pressure data collected by the host (7) to calculate and monitor the real-time height and operation progress of the climbing personnel through the air pressure height algorithm. Bluetooth wristband (11) is worn on the wrist of the person climbing the mountain. It integrates a wristband main controller, Bluetooth communication module, heart rate and blood oxygen sensor and display module. It is used to collect the wearer's heart rate and blood oxygen saturation data in real time and send the data to the host (7) via Bluetooth broadcast.

2. The multi-state intelligent seat belt device according to claim 1, characterized in that: The safety protection equipment includes a self-locking device, a pole strap (1), a safety rope, and a differential lock.

3. The multi-state intelligent seat belt device according to claim 1, characterized in that: The radio frequency transmitter (4) has a built-in triaxial accelerometer, which is used to periodically transmit radio frequency signals within a specific range when it detects that a person is in a high-altitude work state.

4. The multi-state intelligent seat belt device according to claim 1, characterized in that: The radio frequency receiver (9) receives the radio frequency signal transmitted by the radio frequency transmitter (4) through the radio frequency signal receiving module.

5. A multi-state intelligent seat belt device according to claim 1, characterized in that: The host (7) communicates with the Bluetooth bracelet (11) via the built-in Bluetooth module.

6. The multi-state intelligent seat belt device according to claim 1, characterized in that: The early warning and monitoring equipment also includes a remote monitoring center, which is deployed on a cloud server or monitoring platform to receive multi-source data uploaded by the host (7) through the network communication module, and to perform comprehensive analysis, early warning, storage and visualization.

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