Intelligent safety supervision method and system based on linkage of intelligent safety helmet and safety belt

Abstract

The invention discloses an intelligent safety supervision method and system based on linkage of an intelligent safety helmet and a safety belt, and relates to the technical field of high-altitude operation informatization management. Communication protocols of different intelligent devices are compatible, and different types of safety warnings are carried out; and linkage data optimization management modes among the intelligent devices are integrated. According to the method, core risk points in a climbing operation scene are covered by model selection of the intelligent equipment, high-precision and high-timeliness data support is provided for a subsequent management module, protocol compatibility and real-time data uploading of various equipment are achieved through the edge Internet of Things gateway, the problem of data islands is solved, quick response is achieved through real-time alarm, and the safety of the climbing operation scene is improved. Through the standardized processing of the data and the linkage of the intelligent construction site platform, the real-time monitoring, abnormal alarm, historical tracing and intelligent decision support are realized, and the efficiency and precision of safety management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of information management of aerial work, and in particular to an intelligent safety supervision method and system based on the linkage between an intelligent safety helmet and a safety belt. Background Art

[0002] With the acceleration of industrialization and urbanization, aerial work scenes have become increasingly common in the fields of construction, power maintenance, bridge maintenance, etc. Traditional safety protection measures mainly rely on personal protective equipment (PPE), such as safety helmets, safety belts, safety ropes, etc., to reduce falling accidents and other safety risks; however, most of these devices work independently and lack information and intelligent monitoring capabilities, making it impossible to perceive the safety status of workers in real time and remotely monitor; in addition, the development of the Internet of Things (IoT), artificial intelligence (AI) and wireless communication technologies in recent years has promoted the intelligent upgrade of safety management, enabling smart helmets, smart safety belts and other equipment to collect real-time status data of the wearer through sensors, and upload it to the cloud through wireless networks to achieve remote monitoring and management; however, the current smart safety protection equipment on the market still has problems such as information isolation, delayed response, and insufficient linkage, which limits the further development of the intelligent safety supervision system.

[0003] The existing intelligent safety supervision technology has the following main problems: the data of a single device is isolated and cannot form a global safety monitoring system; although the current smart helmets and smart seat belts can monitor the wearing status, fall detection, heart rate abnormalities and other information respectively, they usually adopt independent data processing modes and lack the ability of multiple devices to work together, resulting in insufficient accuracy in the judgment of safety events; for example, a smart helmet can detect the wearer's fall, but it cannot judge whether a fall accident actually occurred in combination with the stress state of the seat belt, which may lead to false alarms or missed alarms; the communication protocols of smart devices are not unified, and data interconnection is difficult; smart safety devices from different manufacturers often use their own communication standards and data formats, resulting in incompatibility between different devices and serious information island problems; the wireless communication technologies currently widely used in the industry (such as BLE, LoRa, NB -IoT, etc.) can provide data transmission capabilities, but lack a unified management architecture, which makes it difficult to integrate real-time data from different devices, reducing the accuracy and real-time nature of remote monitoring; it lacks intelligent early warning mechanisms and linkage response capabilities; traditional safety supervision methods mainly rely on manual inspections and post-analysis, and although intelligent safety equipment can provide basic data, the existing technology has not yet formed a complete linkage mechanism; for example, when a smart safety belt detects abnormal force, the smart safety helmet should simultaneously analyze the wearer's movement status to comprehensively determine whether a high-altitude fall has occurred; however, existing technologies often only rely on data from a single sensor, lack multi-sensor data fusion and intelligent analysis, resulting in the inability to accurately identify safety risks; in addition, the lack of multi-device collaborative alarm and remote control capabilities makes the safety management response speed lag behind and cannot meet the needs of modern construction site safety management. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problems solved by the present invention are: the existing intelligent safety protection methods have the problems of isolated data of a single device, inability to achieve global monitoring, inconsistent communication protocols of intelligent devices, inability to interconnect data, lack of intelligent early warning and multi-device linkage response mechanism, and how to achieve real-time monitoring, accurate alarm and optimized management through the linkage of smart helmets and smart seat belts.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: an intelligent safety supervision method based on the linkage of smart helmets and safety belts, including selecting smart devices to obtain on-site information; being compatible with different smart device communication protocols to issue different types of safety warnings; integrating linkage data between smart devices to optimize management mode; smart device selection, including selecting smart helmets, smart safety belts, smart safety ropes, and AI all-in-one machines; optimizing management mode, including using edge IoT gateways to collect data information of smart devices in real time, and uploading it to the IoT middle station through the MQTT protocol to remotely control the devices; and using the IoT middle station to monitor smart device data. Standardized processing, storage and unified management are carried out, alarm rules are configured and abnormal reminders are triggered, and alarm prompts or operation suggestions are sent to construction site managers through the linkage information system; different types of safety warnings include hook failure warning based on the pressure sensor of the intelligent safety rope, double hook high hanging too close warning based on the pressure sensor and height sensor of the intelligent safety rope, fall warning based on the acceleration sensor and gyroscope, collision warning based on the acceleration sensor and gyroscope, low hanging and high use warning based on the hanging point monitoring of the intelligent safety rope, and joint high-altitude fall warning based on the pressure sensor, acceleration sensor and gyroscope of the intelligent safety rope.

[0007] As a preferred solution of the intelligent safety supervision method based on the linkage of smart safety helmets and safety belts described in the present invention, the selection of intelligent devices includes selecting smart safety helmets, smart safety belts, smart safety ropes, and AI all-in-one machines.

[0008] As a preferred solution of the intelligent safety supervision method based on the linkage of a smart safety helmet and a safety belt described in the present invention, the smart safety helmet includes: using wireless communication to report real-time data to the cloud; real-time positioning and tracking of the wearer's position; through the SOS function, on-site personnel can call for help from the cloud with one click when encountering an emergency; through built-in sensors, real-time monitoring of the surrounding environment and the wearer's status, and the intelligent alarm content includes wearing alarm, temperature and humidity alarm, near power alarm, fall alarm, collision alarm, and height alarm; through the voice function, intelligent alarm reminders are made to assist cloud managers to communicate with the site in real time; through the video function, on-site operation conditions are collected, on-site abnormalities are captured, and operation videos are played back.

[0009] As a preferred solution of the intelligent safety supervision method based on the linkage of the smart safety helmet and the safety belt described in the present invention, the smart safety belt includes, by adding an intelligent sensor, force detection on the shoulder and wearing detection on the waist; it is used to detect the wearing status of the equipment, provide equipment positioning information, and height monitoring.

[0010] As a preferred solution of the intelligent safety supervision method based on the linkage of the intelligent safety helmet and the safety belt described in the present invention, the intelligent safety rope includes: a pressure sensor is arranged on the inner side of the hook component to detect the hanging state of the hook. When the hook is hung, the pressure sensor outputs the corresponding pressure value to judge the hanging state of the single hook or the double hook. When the hook is not hung, the pressure sensor has no numerical feedback, and the system recognizes the abnormal state in real time; the hook component is configured with a pressure sensor and a height sensor. When both hooks output pressure data and the height sensor detects that the heights of the two hooks are consistent, an alarm signal of hanging too close is triggered; an acceleration sensor and a gyroscope are combined to monitor and alarm the fall or collision state of the person in real time. When the hook falls from a height, the acceleration sensor monitors the acceleration change, and the gyroscope simultaneously detects that the direction of the hook has an abnormal change. The system determines that the person has fallen and triggers an alarm; the acceleration sensor identifies the sudden change and instantaneous impact of the hook force, and combined with the direction change of the double hook, the system automatically identifies whether the person has collided and issues an early warning.

[0011] As a preferred solution of the intelligent safety supervision method based on the linkage of smart safety helmets and safety belts described in the present invention, the AI ​​all-in-one machine includes, for the image data collected by the smart safety helmet, using AI to analyze the working situation, capturing the high-altitude workers who do not wear the smart safety belts and smart safety helmets properly, and issuing timely alarms.

[0012] As a preferred solution of the intelligent safety supervision method based on the linkage of smart safety helmets and safety belts described in the present invention, wherein: the compatibility with different smart device communication protocols includes, by setting different edge gateways, real-time collection of data of smart devices in different network segments and reporting to the cloud.

[0013] As a preferred solution of the intelligent safety supervision method based on the linkage of smart safety helmet and safety belt described in the present invention, the different types of safety warnings include: when a hook failure alarm is issued, the smart safety rope sends an alarm prompt to the operator through the voice module, the smart safety helmet synchronizes the voice reminder, the management platform records the failure to hang event and generates an alarm record, notifies the management personnel in real time, marks the location information and equipment status of the operator, the operator needs to check the hook status, and the system automatically lifts the alarm after completing the correct hanging; when a double hook is hung too close to the height alarm occurs, the smart safety rope sends a voice alarm, the smart safety helmet synchronously plays the alarm content, and displays the operator's hanging status and alarm details on the management platform. The management platform The current attachment point is marked, an alarm report is generated, and the on-site management personnel are notified to intervene. The operator needs to adjust the attachment point height of the hook to a safe range according to the prompt. The system automatically releases the alarm after the adjustment is completed. When a fall status alarm occurs, the smart safety rope sends an emergency reminder through the voice module and triggers an SOS emergency call at the same time. The smart safety helmet provides the location information of the faller, combined with the real-time video function to display the surrounding environment, reminding other operators to pay attention to safety. The management platform records the fall event, locates the position of the fallen person, and sends an emergency alarm message to the management personnel and the rescue team, and generates a one-click rescue work order. The rescue personnel need to quickly arrive at the scene for rescue according to the information provided by the platform. When a collision status alarm occurs When an alarm occurs, the intelligent safety rope sounds an alarm to remind the operator to pay attention to the hook connection and the safety of the working environment. The intelligent safety belt combines the force sensor data to assist in determining whether the collision has an impact on the equipment or personnel, and triggers an emergency alarm. The management platform records the collision event and generates a report to prompt the management personnel to check the equipment status and the safety of the working area. The operator checks the safety equipment and working status according to the alarm prompt. After confirming that there is no risk, the system automatically cancels the alarm; when the safety rope is low-hanging and high-using detection alarm occurs, the intelligent safety rope sends a voice alarm to remind the operator to re-hang it, and the intelligent safety helmet plays the alarm content synchronously with the voice. At the same time, the specific location and height difference data of the hanging point are displayed on the management platform. The management platform marks the low-hanging and high-using points, and the production The system generates an alarm record and notifies the management personnel to handle it. The operator adjusts the height of the hanging point according to the alarm prompt. After completion, the system monitors and confirms the adjustment status in real time and automatically cancels the alarm. When a high-altitude fall joint alarm occurs, the smart safety rope immediately triggers an emergency call for help. The smart safety helmet provides the real-time location and on-site video of the faller to assist the management personnel in understanding the surrounding situation. The smart safety belt uses the force data to assist in judging the severity of the fall and synchronously alarms the platform. The management platform records the fall event and generates a comprehensive report, sends the location information of the faller and the surrounding environment report to the management personnel and rescue team, and generates a one-click rescue plan at the same time. The rescue personnel quickly launch rescue operations according to the platform instructions, and the operators evacuate to a safe area according to the voice prompts.

[0014] As a preferred solution of the intelligent safety supervision method based on the linkage of smart safety helmets and safety belts described in the present invention, the optimized management mode includes using the edge IoT gateway to collect data information of smart devices in real time, and uploading it to the IoT middle station through the MQTT protocol to remotely control the equipment; standardizing, storing and uniformly managing the data of smart devices through the IoT middle station, configuring alarm rules and triggering abnormal reminders, and sending alarm prompts or operation suggestions to construction site managers through the linkage information system.

[0015] Another object of the present invention is to provide an intelligent safety supervision system based on the linkage of smart safety helmets and safety belts, which can be compatible with the communication protocols of different smart devices through the edge Internet of Things gateway, and upload the smart device data to the Internet of Things middle platform based on the MQTT protocol, solving the current problems of limited monitoring capabilities of the status of high-altitude workers and delayed alarms.

[0016] As a preferred solution of the intelligent safety supervision system based on the linkage of intelligent safety helmet and safety belt described in the present invention, it includes: an equipment demand analysis module, a communication alarm module, and an optimization management module; the equipment demand analysis module includes an equipment selection module and an information collection module, the equipment selection module is used to select intelligent equipment according to the actual needs of high-altitude operations, and the information collection module is used to collect equipment operation data in real time and upload it to the communication alarm module; the communication alarm module includes a data transmission module and an alarm trigger module, and the data transmission module is used to be compatible with the communication protocols of different intelligent devices through the edge Internet of Things gateway, and upload the intelligent device data to the Internet of Things based on the MQTT protocol. In the network platform, the alarm trigger module is used to perform alarm analysis on the received data according to preset rules. The data transmission module uploads the data from the information collection module to the Internet of Things platform, and provides real-time data support for the alarm trigger module. The alarm trigger module triggers abnormal prompts based on the equipment data, and links the optimization management module for processing; the optimization management module includes a data integration module and a business application module. The data integration module is used to standardize and uniformly store the equipment data uploaded by the communication alarm module, and aggregate equipment information through the Internet of Things platform to form structured monitoring data. The business application module is used to realize various business functions of the smart construction site platform based on integrated data.

[0017] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a step of an intelligent safety supervision method based on the linkage between an intelligent safety helmet and a safety belt.

[0018] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of an intelligent safety supervision method based on the linkage between an intelligent safety helmet and a safety belt.

[0019] Beneficial effects of the present invention: The selection of intelligent equipment for the intelligent safety supervision method based on the linkage of smart safety helmets and safety belts provided by the present invention ensures coverage of core risk points in height operation scenarios, and provides high-precision and high-efficiency data support for subsequent management modules. The edge Internet of Things gateway realizes protocol compatibility and real-time data upload of multiple devices, solves the problem of data islands, and achieves rapid response through real-time alarms. Through standardized data processing and the linkage of smart construction site platforms, real-time monitoring, abnormal alarms, historical tracing and intelligent decision-making support are realized, which improves the efficiency and accuracy of safety management. The present invention achieves better results in terms of efficiency, accuracy and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0021] Figure 1 This is an overall flow chart of the intelligent safety supervision method based on the linkage between the intelligent safety helmet and the safety belt provided in the first embodiment of the present invention.

[0022] Figure 2 This is an overall flow chart of an intelligent safety monitoring system based on the linkage between an intelligent safety helmet and a safety belt provided in the third embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0024] Example 1, reference Figure 1 , which is an embodiment of the present invention, provides an intelligent safety supervision method based on the linkage between an intelligent safety helmet and a safety belt, comprising:

[0025] S1: Select smart devices to obtain on-site information.

[0026] Furthermore, the selection of smart equipment includes smart helmets, smart safety belts, smart safety ropes, and AI all-in-one machines.

[0027] It should be noted that the smart safety helmet includes the use of wireless communication to report real-time data to the cloud; real-time positioning and tracking of the wearer's position; through the SOS function, on-site personnel can call for help from the cloud with one click when encountering an emergency; through built-in sensors, real-time monitoring of the surrounding environment and the wearer's status, and smart alarms include wearing alarms, temperature and humidity alarms, near-power alarms, fall alarms, collision alarms, and height alarms; through the voice function, smart alarm reminders are made to assist cloud managers in real-time communication with the site; through the video function, on-site operation conditions are collected, on-site abnormalities are captured, and operation videos are played back.

[0028] It should also be noted that the smart seat belt, including, by adding smart sensors, can detect the force on the shoulders and the wearing of the waist; it is used to detect the wearing status of the device, provide device positioning information, and perform height monitoring.

[0029] It should also be explained that the intelligent safety rope includes: a pressure sensor is arranged on the inner side of the hook component to detect the hanging state of the hook. When the hook is hung, the pressure sensor outputs the corresponding pressure value to determine the hanging state of a single hook or a double hook. When the hook is not hung, the pressure sensor has no numerical feedback, and the system identifies abnormal conditions in real time; a pressure sensor and a height sensor are configured for the hook component. When both hooks output pressure data and the height sensor detects that the heights of the two hooks are consistent, an alarm signal for hanging too close is triggered; an acceleration sensor and a gyroscope are combined to monitor and alarm the fall or collision of personnel in real time. When the hook falls from a height, the acceleration sensor monitors the acceleration change, and the gyroscope simultaneously detects an abnormal change in the direction of the hook. The system determines that the person has fallen and triggers an alarm; the acceleration sensor identifies the sudden change in the force and instantaneous impact of the hook, and combined with the change in the direction of the double hook, the system automatically identifies whether the person has collided and issues an early warning.

[0030] It should also be noted that the AI ​​all-in-one machine, including the image data collected by the smart safety helmet, uses AI to analyze the working situation, captures high-altitude workers who do not wear smart safety belts and smart safety helmets properly, and issues timely warnings.

[0031] It should also be noted that the selection of these four devices is the optimal configuration based on the specific safety needs of the height operation scenario, and other smart devices may not be fully adapted to this scenario; although portable devices such as smart bracelets / gloves can collect human conditions such as heart rate, they lack the ability to comprehensively monitor the working environment, and there is little data directly related to height operations at construction sites, so they cannot become core monitoring equipment; separate video surveillance equipment, traditional video surveillance lacks intelligent analysis functions, cannot identify specific violations, and cannot provide real-time data for dynamic safety management; drone monitoring is suitable for wide-area inspections, but it is not accurate enough in high-altitude operations and has endurance issues, making it unsuitable for long-term real-time monitoring of workers; other types of sensor equipment (such as smart shoes) can collect some data, but their coverage is narrow and cannot meet the comprehensive safety needs of height operations.

[0032] It should also be noted that each device provides data support for different scenario requirements based on its design purpose: smart safety helmets are used for wearing status monitoring and position tracking; smart safety belts are used for wearing and stress status analysis; smart safety ropes are used for hook connection status detection and high-altitude fall warnings; AI all-in-one machines capture violations with image recognition capabilities; the system configures a combination of smart devices based on the risk characteristics and management needs of the high-altitude work environment, improves on-site monitoring capabilities from the basic data collection end, and ensures that the detection of various safety hazards is comprehensive and accurate; it effectively solves the limitations of traditional equipment with single functions and insufficient monitoring, provides a high-quality data source for subsequent communication integration and optimized management, and lays the foundation for all-round safety monitoring.

[0033] S2: Compatible with different smart device communication protocols and provide different types of safety warnings.

[0034] Furthermore, it is compatible with different smart device communication protocols, including real-time collection of smart device data in different network segments and reporting to the cloud by setting up different edge gateways.

[0035] It should be noted that different types of safety warnings include, when the hook is not hooked, the smart safety rope sends an alarm to the operator through the voice module, the smart safety helmet synchronizes the voice reminder, the management platform records the unhooked event and generates an alarm record, notifies the management personnel in real time, marks the operator's location information and equipment status, the operator needs to check the hook status, and after completing the correct hooking, the system automatically lifts the alarm.

[0036] When an alarm occurs that the double hooks are hung too close to the ground, the smart safety rope issues a voice alarm, the smart safety helmet plays the alarm content synchronously, and displays the operator's hanging status and alarm details on the management platform. The management platform marks the current hanging point location, generates an alarm report and notifies on-site management personnel to intervene. The operator needs to adjust the height of the hook's hanging point to a safe range according to the prompts. The system will automatically lift the alarm after detecting that the adjustment is completed.

[0037] When a fall alarm occurs, the smart safety rope sends an emergency reminder through the voice module and triggers an SOS emergency call at the same time. The smart safety helmet provides the location information of the fall person and displays the surrounding environment with the real-time video function to remind other workers to pay attention to safety. The management platform records the fall event, locates the position of the fallen person, and sends an emergency alarm message to the management personnel and rescue team, and generates a one-click rescue work order. Rescuers need to quickly arrive at the scene for rescue based on the information provided by the platform.

[0038] When a collision status alarm occurs, the intelligent safety rope sounds an alarm to remind the operator to pay attention to the hook connection and the safety of the working environment. The intelligent safety belt combines the force sensor data to assist in determining whether the collision has an impact on the equipment or personnel, and triggers an emergency alarm. The management platform records the collision event and generates a report to prompt the management personnel to check the equipment status and the safety of the working area. The operator checks the safety equipment and working status according to the alarm prompts, and the system automatically cancels the alarm after confirming that there is no risk.

[0039] When the safety rope is detected to be low hanging and high use, the intelligent safety rope will issue a voice alarm to remind the operator to re-hang it. The intelligent safety helmet will simultaneously play the alarm content by voice, and display the specific location and height difference data of the hanging point on the management platform. The management platform will mark the low hanging and high use point, generate an alarm record and notify the management personnel to handle it. The operator will adjust the height of the hanging point according to the alarm prompt. After completion, the system will monitor and confirm the adjustment status in real time and automatically lift the alarm.

[0040] When a joint alarm of a high-altitude fall occurs, the smart safety rope immediately triggers an emergency call for help. The smart safety helmet provides the real-time location and on-site video of the fall person to assist managers in understanding the surrounding situation. The smart safety belt uses force data to help determine the severity of the fall and simultaneously alarms the platform. The management platform records the fall event and generates a comprehensive report, sends the location information of the fall person and a report on the surrounding environment to managers and rescue teams, and generates a one-click rescue plan. Rescuers quickly launch rescue operations according to the platform's instructions, and workers evacuate to a safe area according to voice prompts.

[0041] It should also be noted that by integrating high-precision sensors, pressure sensors, gyroscopes, electronic locks and other technologies at the hook position, real-time monitoring and feedback of the hook status can be achieved; this technology addresses the problem that traditional safety ropes cannot automatically detect the hook status, and realizes intelligent monitoring through high-precision sensors and logical judgments, effectively improving the safety of hook use and solving the risks of single / double hooks not being hooked or incorrectly hooked; a combination of acceleration sensors and gyroscopes is used to monitor and warn of people's falls or collisions in real time; through the linkage monitoring of acceleration sensors and gyroscopes, automatic detection of people's falls and collisions is achieved, which makes up for the deficiency that traditional safety ropes cannot identify the risks of falls and collisions in real time, and improves the accuracy of accident warnings. safety and timeliness; when the system detects abnormal situations such as the hook not being hooked, high hanging and low use, falling or collision, the voice alarm function is triggered in real time to warn the operator and the management system; through voice alarm and real-time feedback, the limitations of "static protection and passive response" of traditional safety equipment are solved, active safety monitoring and reminders are realized, and the response efficiency of safety management is improved; the intelligent safety rope is linked with the intelligent safety belt and intelligent safety helmet equipment to form a safety monitoring closed loop and realize multi-dimensional safety protection; the linkage between equipment realizes data sharing and functional coordination, provides all-round safety monitoring capabilities, effectively solves the problem of incomplete monitoring of a single device, and improves the overall reliability and practicality of the safety management system.

[0042] It should also be noted that traditional safety ropes can only provide passive protection and cannot intelligently identify safety risks such as hook status, falls, collisions, etc., and lack real-time monitoring and alarm functions. The present invention integrates high-precision sensors such as pressure sensors, gyroscopes, and acceleration sensors to achieve real-time monitoring of hook status, falls, and collisions, and voice alarms, breaking through the technical limitations of traditional safety ropes; uses pressure sensors to determine the hook connection status and improves the reliability of the hook connection; uses a combination of height sensors and pressure sensors to monitor the situation where the double hooks are hung too close to each other, automatically triggers an alarm, and ensures the safety of the hook; uses acceleration sensors and gyroscopes to identify falls Through the intelligent algorithm, logical judgment is made for falling and collision, which improves the accuracy and automation level of monitoring; through the voice alarm function, active reminders of on-site safety risks are realized, which changes the passive response management mode of traditional safety equipment; data sharing and collaborative linkage between equipment (intelligent safety ropes, safety helmets, safety belts) form a complete safety monitoring closed loop, which comprehensively guarantees the safety of workers working at heights; all detection data can be transmitted to the management platform in real time to realize remote monitoring and historical data analysis, and provide decision-making support for safety management; through multi-sensor fusion monitoring, the data is ensured to be accurate and reliable, effectively reducing misjudgments and missed judgments.

[0043] S3: Integrate linkage data among smart devices to optimize management mode.

[0044] Furthermore, the management model is optimized, including using the edge IoT gateway to collect data information of smart devices in real time, and uploading it to the IoT middle platform through the MQTT protocol for remote control of equipment; standardizing, storing and uniformly managing smart device data through the IoT middle platform, configuring alarm rules and triggering abnormal reminders, and sending alarm prompts or operation suggestions to construction site managers through the linkage information system.

[0045] It should be noted that the system uses the IoT middle platform to standardize and centrally store the data uploaded by the edge IoT gateway, and configures unified alarm rules; the smart construction site platform uses these integrated data to provide real-time positioning display, electronic fence monitoring, remote voice command, historical data tracing and special analysis functions; the integrated data not only facilitates managers to monitor the status of workers and equipment in real time, but also generates professional analysis reports to provide data support for safety education and management optimization; at the same time, through the platform-linked alarm and decision-making mechanism, the overall management efficiency and safety assurance level are improved; a complete closed loop from data collection to management application is achieved, which makes up for the shortcomings of existing technologies in low data utilization, decentralized management, and response delays, and provides innovative solutions for the intelligent and efficient management of construction sites.

[0046] Example 2 is an embodiment of the present invention, which provides an intelligent safety supervision method based on the linkage between an intelligent safety helmet and a safety belt. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0047] First of all, this experiment simulates a high-altitude operation scenario at a construction site, deploys smart devices such as smart safety helmets, smart safety belts, smart safety ropes and AI all-in-one machines on site, uses edge IoT gateways to be compatible with different device communication protocols, and uploads data to the IoT middle platform and smart construction site platform in real time through the MQTT protocol; uses smart safety helmets to collect the wearer's position, environmental parameters and status data, and simulates abnormal behaviors such as improper wearing, falling, and approaching high voltage electricity; uses smart safety belts for wearing status detection and force monitoring, simulating abnormal force or improper wearing; smart safety ropes monitor the hook status through pressure sensors, simulating abnormal behaviors such as single hook not being hung, double hooks hanging too close, and falling; AI all-in-one machines identify the wearer through image acquisition and AI analysis. Failure to wear a safety helmet and irregular operation are uploaded to the IoT platform in real time; an edge IoT gateway is set up to connect various smart devices and be compatible with different communication protocols to achieve real-time collection and standardized upload of equipment data; unified alarm rule configuration is performed through the IoT platform to simulate the triggering of multiple safety warnings (such as low hanging and high use, and fall alarms), and the alarm information is notified to management personnel and operators through voice reminders and platform push notifications; all collected equipment data is uploaded to the smart construction site platform to monitor the location of operators, equipment status and environmental conditions in real time; the platform generates dynamic alarm records, accident simulation reports and subsequent adjustment suggestions, and combines historical data analysis to verify the system's optimization management capabilities; refer to Table 1 to record and analyze smart device data.

[0048] Table 1 Data record table of intelligent equipment for high-altitude workers

[0049]

[0050] The success rate of wearing detection for smart helmets reached 95%, and that for smart safety belts was 92%, both showing high accuracy; the smart safety rope triggered hook status alarms 12 times and fall monitoring triggered 8 times, showing its high sensitivity and reliability in multi-scenario abnormal monitoring; the AI ​​all-in-one machine triggered alarms 3 times in identifying unworn equipment and abnormal operations, and its accuracy met the system requirements; the data transmission success rate between the edge IoT gateway and the IoT middle platform reached 99%, the timeliness of alarm triggering was within the range of 2-4 seconds, and the alarm false alarm rate was less than 3%, demonstrating the system's rapid response and high-precision alarm capabilities; the historical data analysis accuracy of the IoT middle platform and the smart construction site platform reached 98%, and through data integration and optimization, it effectively supported accident backtracking and management decision-making, demonstrating excellent data application capabilities; smart helmets and smart safety belts completed real-time detection of the status of operators through high-precision sensors, and smart safety ropes and AI all-in-one machines realized dynamic abnormal monitoring in multiple scenarios, fully covering the potential safety hazards of climbing operations; the edge IoT gateway achieved compatibility and data real-time performance of multiple devices through standardized data transmission protocols, and the alarm delay was less than 4 seconds, significantly improving the safety response speed of the operation scene.

[0051] Through the linkage of the Internet of Things middle platform and the smart construction site platform, a complete closed loop is formed from data collection to application, and the accuracy of historical data analysis reaches 98%, which supports managers to accurately formulate accident prevention and improvement plans, filling the gap in the existing technology in data integration and optimization application; the existing technology mainly has problems such as isolated equipment data, delayed alarm and insufficient data utilization; the present invention realizes the linkage data integration between intelligent devices through the three steps of equipment selection, communication compatibility and data optimization management, and significantly improves the accuracy, real-time and global optimization capabilities of operation management; compared with traditional methods, the present invention is more intelligent and systematic, and provides comprehensive technical support and innovative solutions for the safety management of high-altitude operations.

[0052] Example 3, reference Figure 2 , which is an embodiment of the present invention, provides an intelligent safety supervision system based on the linkage between an intelligent safety helmet and a safety belt, including an equipment demand analysis module 100, a communication alarm module 200, and an optimization management module 300.

[0053] Among them, S4: the equipment demand analysis module 100 includes an equipment selection module 101 and an information collection module 102. The equipment selection module 101 is used to select intelligent equipment according to the actual needs of the high-altitude operation, and the information collection module 102 is used to collect equipment operation data in real time and upload it to the communication alarm module 200.

[0054] It should be noted that the equipment selection module 101 selects smart devices such as smart safety helmets, smart safety belts, smart safety ropes and AI all-in-one machines according to the actual needs of the high-altitude operation scene; the configuration of these devices is based on the risk characteristics of the working environment to ensure that key safety monitoring points in high-altitude operations are covered, such as position tracking, wearing detection, hook status, etc.; the information collection module 102 collects the operating data of the smart devices in real time, including wearing status, fall detection, hook status and other environmental parameters; the collected data is processed by the information collection module and uploaded to the data transmission module 201 of the communication alarm module 200, completing the initial link of the data upload link.

[0055] S5: The communication alarm module 200 includes a data transmission module 201 and an alarm trigger module 202. The data transmission module 201 is used to be compatible with the communication protocols of different smart devices through the edge IoT gateway, and upload the smart device data to the IoT middle station based on the MQTT protocol. The alarm trigger module 202 is used to perform alarm analysis on the received data according to preset rules. The data transmission module 201 uploads the data transmitted by the information collection module 102 to the IoT middle station, and provides real-time data support for the alarm trigger module 202. The alarm trigger module triggers abnormal prompts according to the device data, and links the optimization management module 300 for processing.

[0056] It should be noted that the data transmission module 201 is compatible with the communication protocols of various smart devices through the edge IoT gateway, and uploads data to the IoT middle platform based on the MQTT protocol; this module effectively solves the problem of inconsistent communication protocols of different devices, and provides real-time data support for subsequent alarm analysis; the alarm trigger module 202 triggers abnormal prompts based on device data; through the rules configured in the IoT middle platform, the alarm trigger module analyzes the received data and links the optimization management module 300; the triggered alarms include fall alarms, hook unconnected warnings, and high hanging and low use prompts, etc. The management platform simultaneously generates alarm records and pushes the information to operators and managers.

[0057] S6: The optimization management module 300 includes a data integration module 301 and a business application module 302. The data integration module 301 is used to perform standardized processing and unified storage on the equipment data uploaded by the communication alarm module 200, and to aggregate equipment information through the IoT middle platform to form structured monitoring data. The business application module 302 is used to realize various business functions on the smart construction site platform based on the integrated data.

[0058] It should be noted that the data integration module 301 performs standardized processing on the data uploaded by the communication alarm module 200, and stores it uniformly in the IoT middle platform; the module analyzes and integrates the aggregated equipment data to generate structured monitoring data, including the location distribution of operators, equipment status statistics, and environmental anomaly records, etc., to provide data support for the business application module; the business application module 302 uses the smart construction site platform to realize a variety of business functions based on integrated data, such as real-time positioning display, historical data tracing, and operation analysis; the dynamic reports generated by the module provide managers with a decision-making basis for accident prevention and process optimization, and at the same time intervene in the abnormal behavior of operators in real time through electronic fences and remote command functions.

[0059] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0060] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0061] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0062] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc. It should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not limited. Although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

[0063] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An intelligent safety supervision method based on the linkage between an intelligent helmet and a safety belt, characterized in that: include: Select smart devices to obtain on-site information; Compatible with different smart device communication protocols and provide different types of safety warnings; Integrate linkage data among smart devices to optimize management mode; Smart device selection, Including, choosing smart helmets, smart safety belts, smart safety ropes, and AI all-in-one machines; Optimize management mode, including using edge IoT gateway to collect data information of smart devices in real time, and upload it to IoT middle platform through MQTT protocol for remote control of devices; The IoT platform can standardize, store and uniformly manage the data of smart devices, configure alarm rules and trigger abnormal reminders, and send alarm prompts or operation suggestions to construction site managers through the linkage information system; Different types of safety warnings include hook-off warning based on the pressure sensor of the smart safety rope, double hook-off too close warning based on the pressure sensor and height sensor of the smart safety rope, fall warning based on the acceleration sensor and gyroscope, collision warning based on the acceleration sensor and gyroscope, low hanging and high use warning based on the hanging point monitoring of the smart safety rope, and joint high-altitude fall warning based on the pressure sensor, acceleration sensor and gyroscope of the smart safety rope.

2. The intelligent safety supervision method based on the linkage between the intelligent helmet and the safety belt as claimed in claim 1, characterized in that: The smart helmet comprises: Use wireless communication to report real-time data to the cloud; Conduct real-time positioning and tracking of the wearer's location; Through the SOS function, on-site personnel can call for help from the cloud with one click when encountering an emergency; Through built-in sensors, the surrounding environment and the wearer's status are monitored in real time. Intelligent alarms include wearing alarm, temperature and humidity alarm, near-power alarm, fall alarm, collision alarm, and height alarm. Through the voice function, intelligent alarm reminders are provided to assist cloud managers to communicate with the site in real time; Through the video function, it is possible to collect on-site operation conditions, capture on-site anomalies, and play back operation videos.

3. The intelligent safety supervision method based on the linkage between the intelligent helmet and the safety belt as claimed in claim 1, characterized in that: The intelligent safety belt comprises: By adding smart sensors, the force on the shoulders and the wearing detection on the waist can be performed; Used to detect the wearing status of the device, provide device positioning information, and monitor altitude.

4. The intelligent safety supervision method based on the linkage between the intelligent helmet and the safety belt as claimed in claim 1, characterized in that: The intelligent safety rope comprises: A pressure sensor is set on the inner side of the hook assembly to detect the hooking state of the hook. When the hook is hooked, the pressure sensor outputs the corresponding pressure value to determine the hooking state of a single hook or a double hook. When the hook is not hooked, the pressure sensor has no value feedback, and the system identifies abnormal conditions in real time; The hook assembly is equipped with a pressure sensor and a height sensor. When both hooks output pressure data and the height sensor detects that the heights of the two hooks are consistent, an alarm signal of too close hanging is triggered; The accelerometer and gyroscope are combined to monitor and warn people in real time when they fall or collide. When the hook falls from a height, the accelerometer detects the acceleration change, and the gyroscope detects the abnormal change in the direction of the hook. The system determines that a person has fallen and triggers an alarm. By using acceleration sensors to identify sudden changes in hook force and instantaneous impacts, combined with changes in the direction of the double hooks, the system automatically identifies whether a collision has occurred and issues an early warning.

5. The intelligent safety supervision method based on the linkage between the intelligent helmet and the safety belt as claimed in claim 1, characterized in that: The AI ​​all-in-one machine includes: The image data collected by the smart helmets is used to analyze the working situation with AI, catch workers who are not wearing smart safety belts and smart helmets properly during high-altitude operations, and issue timely warnings.

6. The intelligent safety supervision method based on the linkage between the intelligent helmet and the safety belt as claimed in claim 5, characterized in that: The compatible communication protocols of different smart devices, include, By setting up different edge gateways, data from smart devices in different network segments can be collected in real time and reported to the cloud.

7. The intelligent safety supervision method based on the linkage between the intelligent helmet and the safety belt according to claim 1 or 6, characterized in that: The different types of safety warnings, include, When the hook is not hooked, the intelligent safety rope sends an alarm to the operator through the voice module, and the intelligent safety helmet sends a synchronous voice reminder. The management platform records the unhooked event and generates an alarm record, notifies the management personnel in real time, marks the operator's location information and equipment status, and the operator needs to check the hook status. After the hook is correctly hooked, the system automatically clears the alarm; When the double hook is too close to the height alarm, the intelligent safety rope will issue a voice alarm, the intelligent safety helmet will play the alarm content synchronously, and the operator's hanging status and alarm details will be displayed on the management platform. The management platform will mark the current hanging point position, generate an alarm report and notify the on-site management personnel to intervene. The operator needs to adjust the height of the hook's hanging point to a safe range according to the prompts. The system will automatically release the alarm after the adjustment is completed; When a fall alarm occurs, the smart safety rope sends an emergency reminder through the voice module and triggers an SOS emergency call at the same time. The smart safety helmet provides the location information of the faller and displays the surrounding environment in combination with the real-time video function to remind other workers to pay attention to safety. The management platform records the fall event, locates the position of the fallen person, and sends an emergency alarm message to the management personnel and rescue team, and generates a one-click rescue work order. Rescuers need to quickly arrive at the scene for rescue according to the information provided by the platform. When a collision alarm occurs, the intelligent safety rope sounds an alarm to remind the operator to pay attention to the hook connection and the safety of the working environment. The intelligent safety belt combines the force sensor data to assist in determining whether the collision has an impact on the equipment or personnel, and triggers an emergency alarm. The management platform records the collision event and generates a report to prompt the management personnel to check the equipment status and the safety of the working area. The operator checks the safety equipment and working status according to the alarm prompt. After confirming that there is no risk, the system automatically cancels the alarm; When the safety rope is hung low and used high, the intelligent safety rope will send out a voice alarm to remind the operator to re-hang it. The intelligent safety helmet will play the alarm content synchronously, and the specific location and height difference data of the hanging point will be displayed on the management platform. The management platform will mark the low hanging and high use point, generate an alarm record and notify the management personnel to handle it. The operator will adjust the height of the hanging point according to the alarm prompt. After completion, the system will monitor and confirm the adjustment status in real time and automatically release the alarm. When a joint alarm of a high-altitude fall occurs, the smart safety rope immediately triggers an emergency call for help. The smart safety helmet provides the real-time location and on-site video of the fall person to assist managers in understanding the surrounding situation. The smart safety belt uses force data to help determine the severity of the fall and simultaneously alarms the platform. The management platform records the fall event and generates a comprehensive report, sends the location information of the fall person and a report on the surrounding environment to managers and rescue teams, and generates a one-click rescue plan. Rescuers quickly launch rescue operations according to the platform's instructions, and workers evacuate to a safe area according to voice prompts.

8. Intelligent safety supervision system based on the linkage between intelligent helmet and safety belt, characterized by: It comprises an equipment demand analysis module (100), a communication alarm module (200), and an optimization management module (300); The equipment demand analysis module (100) comprises an equipment selection module (101) and an information collection module (102), wherein the equipment selection module (101) is used to select intelligent equipment according to the actual demand of the high-altitude operation, and the information collection module (102) is used to collect equipment operation data in real time and upload it to the communication alarm module (200); The communication alarm module (200) comprises a data transmission module (201) and an alarm trigger module (202). The data transmission module (201) is used to be compatible with the communication protocols of different smart devices through the edge IoT gateway, and upload the smart device data to the IoT middle platform based on the MQTT protocol. The alarm trigger module (202) is used to perform alarm analysis on the received data according to preset rules. The data transmission module (201) uploads the data transmitted by the information collection module (102) to the IoT middle platform, and provides real-time data support for the alarm trigger module (202). The alarm trigger module triggers an abnormal prompt according to the device data, and links the optimization management module (300) for processing. The optimization management module (300) includes a data integration module (301) and a business application module (302). The data integration module (301) is used to perform standardized processing and unified storage on the equipment data uploaded by the communication alarm module (200), and to aggregate equipment information through the Internet of Things middle platform to form structured monitoring data. The business application module (302) is used to realize various business functions on the smart construction site platform based on the integrated data.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the intelligent safety supervision method based on the linkage between the intelligent safety helmet and the safety belt as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of the intelligent safety supervision method based on the linkage between the intelligent safety helmet and the safety belt as described in any one of claims 1 to 7 are implemented.

Images