A high-altitude operation safety management method, device, equipment and storage medium

Abstract

The application provides a high-altitude operation safety management method, device, equipment and storage medium, relates to the technical field of industrial safety management, and comprises the following steps: combining personnel basic information and operation information of a target worker, formulating a behavior specification criterion of the target worker, and determining a plurality of target positions of the target worker required to install a monitoring device according to the behavior specification criterion; when the target worker performs a welding operation, monitoring data sent by the monitoring device of each target position is acquired; the relationship parameters between the target positions are calculated according to the monitoring data; whether the relationship parameters between the target positions all conform to preset requirements is judged on the basis of the behavior specification criterion; if the relationship parameters between any two target positions do not conform to the preset requirements, adjustment information is generated and sent to a terminal device of the target worker, so that the target worker can regulate behavior. The application has the technical effect that whether the worker behavior conforms to the safety specification can be accurately judged.

Description

Technical Field

[0001] The present application relates to the field of industrial safety management technology, and specifically to a method, device, equipment and storage medium for high-altitude work safety management. Background Art

[0002] With the rapid development of industrialization and urbanization, aerial work has become increasingly common in fields such as construction, maintenance, and installation. However, the dangers of aerial work have also increased, especially during complex operations such as welding, which poses significant challenges to worker safety. How to effectively manage the safety of aerial welding operations and protect the lives of workers has become a pressing technical challenge.

[0003] In existing technology, video surveillance is commonly used to manage workers working at heights. By installing video surveillance equipment at the work site, workers' behavior can be monitored in real time through the surveillance footage. However, while video surveillance can record workers' actions in real time, the footage is affected by environmental factors such as lighting, angle, and obstructions. It may not clearly capture workers' specific postures and subtle movements, making it difficult to accurately determine whether workers' behavior complies with safety regulations. Summary of the Invention

[0004] The present application provides a method, device, equipment and storage medium for high-altitude work safety management, which are used to accurately determine whether workers' behavior complies with safety regulations.

[0005] In the first aspect, the present application provides a method for safety management of high-altitude operations, the method comprising: obtaining basic personnel information of a target worker, and operation information of the welding operation to be performed by the target worker at high altitude; formulating behavioral norms for the target worker in combination with the basic personnel information and the operation information, and determining, based on the behavioral norms, a plurality of target parts where the target worker needs to install monitoring equipment; when the target worker performs the welding operation, obtaining monitoring data sent by the monitoring equipment of each target part; calculating, based on the monitoring data, relationship parameters between each target part; judging, on the basis of the behavioral norms, whether the relationship parameters between each target part meet the preset requirements; if there are any two target parts whose relationship parameters do not meet the preset requirements, generating and sending adjustment information to the terminal device of the target worker to enable the target worker to regulate his behavior.

[0006] By adopting the technical scheme, the personnel basic information and the specific work information of the target worker are acquired, and a personalized safety management system for each worker can be established. Based on the acquired information, the system formulates a targeted behavior standard, and determines the installation position of the monitoring device according to the behavior standard. The accurate monitoring device arrangement scheme ensures the accuracy and comprehensiveness of data acquisition, and provides a reliable data basis for subsequent safety evaluation. When the worker performs the welding work, the system acquires the data sent by the monitoring device of each target part in real time, and calculates the relationship parameters between the target parts. The real-time data acquisition and processing mechanism enables the system to capture the slight changes of the worker's posture in time, and accurately judge whether the worker's behavior conforms to the safety standard. When the system detects that the relationship parameters between any two target parts do not meet the preset requirements, the adjustment information is immediately generated and sent to the terminal device of the worker, so that the worker can adjust his / her posture or behavior in time, and potential safety accidents are effectively prevented.

[0007] Optionally, the personnel basic information includes height and weight, the work information includes work height, work environment and work type, and the behavior standard of the target worker is formulated by combining the personnel basic information and the work information, including: selecting an initial behavior standard from a preset database according to the work type; adjusting the initial behavior standard according to the work height and the work environment to obtain a first behavior standard; adjusting the first behavior standard according to the height and the weight of the target worker to obtain a second behavior standard, and taking the second behavior standard as the behavior standard of the target worker.

[0008] By adopting the technical scheme, in the process of formulating the behavior standard, the method adopts a step-by-step optimization strategy. First, the initial behavior standard is selected from the preset database according to the work type, which ensures the professionalism and reliability of the basic standard. Then, the initial standard is adjusted according to the work height and the work environment to obtain the first behavior standard. This step considers the particularity of the specific work environment, so that the safety management is more in line with the actual work situation. Finally, the first behavior standard is further adjusted according to the height and the weight of the target worker to obtain the final second behavior standard. The multi-level adjustment process ensures that the behavior standard not only meets the work requirements, but also adapts to the physical characteristics of each worker.

[0009] Optionally, the initial behavioral norms are adjusted according to the working height and the working environment to obtain a first behavioral norm, including: determining a high-risk action threshold corresponding to the working height according to the working height and historical accident data, and adjusting the initial behavioral norms according to the high-risk action threshold to obtain a third behavioral norm; determining an adjustment coefficient corresponding to the environmental characteristics of the working environment according to the environmental characteristics, and adjusting the third behavioral norm by the adjustment coefficient to obtain the first behavioral norm.

[0010] By adopting the above technical solution, a high-risk action threshold is first determined based on the working height and historical accident data. This step combines past accident experience with the specific working height, providing data support and a risk warning basis for safety management. By applying the high-risk action threshold to the initial behavioral code, a third behavioral code is obtained. This adjustment ensures a close correspondence between safety standards and actual risk levels, effectively improving the targetedness and effectiveness of safety management. Subsequently, the method determines corresponding adjustment coefficients based on the environmental characteristics of the working environment and uses these coefficients to further adjust the third behavioral code, ultimately obtaining the first behavioral code. This step fully considers the impact of different environmental factors on safety management, such as temperature, humidity, and wind speed, so that the final behavioral code is better adapted to the specific working environment. This multi-level, multi-factor adjustment process significantly improves the accuracy and adaptability of the behavioral code, providing the most suitable safety guidance for high-altitude welding operations at different heights and in different environments.

[0011] Optionally, adjusting the first behavioral norm criterion according to the height and weight of the target worker to obtain a second behavioral norm criterion includes: inputting the height and weight of the target worker into a preset human body size model, calculating the relative position coordinates of each joint point and limb length parameters of the target worker; establishing a personalized human skeleton model of the target worker according to the relative position coordinates of each joint point and the limb length parameters; and adjusting the key part thresholds in the first behavioral norm criterion according to the personalized human skeleton model to obtain a second behavioral norm criterion.

[0012] By adopting the technical scheme, first, the height and weight of the target worker are input into the preset human body size model, and the relative position coordinates of the joints of the worker and the limb length parameters are calculated. This step converts the physical characteristics of the worker into quantifiable data, laying a foundation for subsequent personalized adjustment. Subsequently, based on the calculated relative position coordinates of the joints and the limb length parameters, the system establishes a personalized human body skeleton model of the target worker. This personalized model accurately reflects the physical structure characteristics of each worker, enabling safety management to truly be tailored to individuals. Finally, the system adjusts the threshold values of the key parts in the first behavior specification criterion based on this personalized human body skeleton model, obtaining the final second behavior specification criterion. This fine adjustment based on individual characteristics ensures that the safety standards are highly matched with the physical structure of each worker, greatly improving the pertinence and practicality of safety management.

[0013] Optionally, the determining, according to the behavior specification criterion, of the plurality of target parts of the target worker on which the monitoring device needs to be installed comprises: determining the plurality of target parts of the target worker on which the monitoring device needs to be installed and determining the type of the monitoring device to be installed on each of the target parts according to a standard posture that the target worker needs to maintain when performing the welding operation as specified in the behavior specification criterion.

[0014] By adopting the technical scheme, first, the height and weight of the target worker are input into the preset human body size model, and the relative position coordinates of the joints of the worker and the limb length parameters are calculated. This step converts the physical characteristics of the worker into quantifiable data, laying a foundation for subsequent personalized adjustment. Subsequently, based on the calculated relative position coordinates of the joints and the limb length parameters, the system establishes a personalized human body skeleton model of the target worker. This personalized model accurately reflects the physical structure characteristics of each worker, enabling safety management to truly be tailored to individuals. Finally, the system adjusts the threshold values of the key parts in the first behavior specification criterion based on this personalized human body skeleton model, obtaining the final second behavior specification criterion. This fine adjustment based on individual characteristics ensures that the safety standards are highly matched with the physical structure of each worker, greatly improving the pertinence and practicality of safety management.

[0015] Optionally, the relationship parameters include spatial distance and relative angle, and the calculation of the relationship parameters between each target part based on the monitoring data includes: extracting the three-dimensional spatial position coordinates of each target part and the direction vector of each target part based on the monitoring data; calculating the spatial distance between each target part based on the three-dimensional spatial position coordinates of each target part; and calculating the relative angle between each target part based on the direction vector of each target part.

[0016] By employing this technical solution, the 3D spatial coordinates and direction vectors of each target part are first extracted from the monitoring data, laying the foundation for subsequent calculations. The system then uses these 3D spatial coordinates to calculate the spatial distance between each target part, while the direction vectors are used to calculate the relative angles between them. This calculation method considers not only the relative position of the target parts in space but also their orientation, providing more comprehensive and accurate posture information. First, it significantly improves the accuracy and comprehensiveness of posture analysis. By simultaneously considering spatial distance and relative angles, the system can more accurately describe the relative position and orientation of various parts of a worker's body. The system not only monitors the distance between the arm and torso but also accurately calculates the angle of the arm relative to the torso, providing a more comprehensive assessment of whether the worker's posture meets safety standards. This multi-dimensional analysis significantly enhances the system's ability to identify potentially hazardous postures, effectively mitigating safety risks.

[0017] Optionally, based on the behavioral norms, it is judged whether the relationship parameters between the target parts all meet the preset requirements, including: converting the standard posture specified in the behavioral norms into target relationship parameter thresholds, and establishing a target matrix based on the target relationship parameter thresholds; judging whether the relationship parameters between the target parts all meet the preset requirements based on the difference between the relationship parameters between the target parts and the corresponding thresholds in the target matrix.

[0018] By employing the above technical solution, this method first converts the standard postures specified in the code of conduct into target relationship parameter thresholds and constructs a target matrix based on these thresholds. The system then determines whether the relationship parameters of each target part meet the preset requirements by comparing the difference between the measured relationship parameters and the corresponding thresholds in the target matrix. This method transforms qualitative safety standards into a quantitative assessment system, significantly improving the accuracy and objectivity of safety management. It achieves precise quantification and systematization of safety standards. By converting standard postures into specific target relationship parameter thresholds, the system establishes a comprehensive, quantifiable assessment standard. This quantification not only covers the requirements of individual parts but also considers the relationships between them, forming a complete posture assessment system. For example, for high-altitude welding work, the target matrix may include parameters in multiple dimensions, such as the angle threshold between the arm and torso and the distance threshold between the head and shoulder. This comprehensive quantitative standard enables the system to more accurately and objectively assess the worker's overall posture.

[0019] In the second aspect, the present application provides a high-altitude work safety management device, which includes: a first acquisition module, a combination module, a second acquisition module, a calculation module and a generation module; wherein the first acquisition module is used to obtain the basic personnel information of the target worker and the operation information of the welding operation to be performed by the target worker at high altitude; the combination module is used to combine the basic personnel information and the operation information to formulate the behavioral code of the target worker, and determine the multiple target parts where the target worker needs to install monitoring equipment based on the behavioral code; the second acquisition module is used to obtain the monitoring data sent by the monitoring equipment of each target part when the target worker performs the welding operation; the calculation module is used to calculate the relationship parameters between each target part based on the monitoring data; the generation module is used to determine whether the relationship parameters between each target part meet the preset requirements based on the behavioral code. If the relationship parameters between any two target parts do not meet the preset requirements, then generate and send adjustment information to the terminal device of the target worker to make the target worker standardize his behavior.

[0020] In the third aspect, the present application provides an electronic device that adopts the following technical solution: it includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes a computer program such as any of the above-mentioned high-altitude work safety management methods.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program that can be loaded by a processor and execute any of the above-mentioned high-altitude work safety management methods.

[0022] In summary, this application includes at least one of the following beneficial technical effects:

[0023] By acquiring basic personnel and specific task information for target workers, a personalized safety management system can be established for each worker. Based on this information, the system develops targeted behavioral guidelines and determines the installation location of monitoring equipment accordingly. This precise monitoring equipment placement ensures accurate and comprehensive data collection, providing a reliable data foundation for subsequent safety assessments. While workers perform welding operations, the system acquires data from monitoring equipment at each target location in real time and calculates the relationship parameters between these locations. This real-time data collection and processing mechanism enables the system to promptly detect subtle changes in a worker's posture and accurately determine whether their behavior complies with safety regulations. If the system detects that the relationship parameters between any two target locations do not meet preset requirements, it immediately generates and transmits adjustment information to the worker's terminal device, enabling the worker to promptly adjust their posture or behavior, effectively preventing potential safety incidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a flow chart of a method for high-altitude work safety management provided by an embodiment of the present application;

[0025] Figure 2 This is a schematic structural diagram of a high-altitude work safety management device provided in an embodiment of the present application;

[0026] Figure 3 This is a structural diagram of an electronic device provided in an embodiment of the present application.

[0027] Description of reference numerals: 1000, electronic device; 1001, processor; 1002, communication bus; 1003, user interface; 1004, network interface; 1005, memory. DETAILED DESCRIPTION

[0028] In order to enable people skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0029] In the description of the embodiments of this application, words such as "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0030] Figure 1 This is a flow chart of a method for high-altitude work safety management provided by an embodiment of the present application. Figure 1 As shown, the method includes S101-S105:

[0031] S101, obtaining basic personnel information of a target worker and operation information of a welding operation to be performed by the target worker at high altitude.

[0032] In one example, the first step is to obtain the target worker's basic information and the welding work to be performed by the target worker at height. This step is the foundation of the entire high-altitude work safety management method, and its purpose is to provide the necessary data support for the subsequent development of personalized behavioral norms.

[0033] Specifically, basic personnel information includes but is not limited to the worker's height, weight, age, work experience, etc., which are directly related to the worker's physical condition and operational ability; while operation information includes operation height, operation environment, operation type, etc. These factors will significantly affect the risk level of the operation and the required safety measures.

[0034] There are various ways to obtain this information, such as through the company's human resources system to obtain basic worker information and through the engineering management system to obtain specific work information. To ensure the accuracy and timeliness of this information, workers can be required to confirm and update this information using mobile devices before each high-altitude operation. Furthermore, IoT technologies, such as RFID tags or QR code scanning, can be utilized to automatically read and update relevant information when workers enter the work area.

[0035] The work information specifically includes the following aspects: first, the working height, that is, at what height the worker will perform welding work, which is directly related to the degree of falling risk; second, the working environment, including whether it is indoors or outdoors, the surrounding structural characteristics, weather conditions, etc. These factors will affect the difficulty of the worker's work and the potential dangers; third, the type of work, specifically the type of welding (such as arc welding, argon arc welding, etc.), welding materials, welding position (such as flat welding, vertical welding, overhead welding, etc.), different welding types and postures will bring different risks; in addition, it also includes the expected working time, the tools and equipment required, etc.

[0036] This operational information can be obtained through a variety of channels: basic job scheduling information can be extracted from the engineering management system, with on-site managers entering more detailed environmental and task information via mobile devices. Alternatively, workers can fill out specific job details using a dedicated safety information collection app before starting work. In some cases, intelligent sensors, such as altitude sensors, temperature and humidity sensors, can be used to automatically collect environmental data to ensure the accuracy and real-time nature of this information.

[0037] The purpose of acquiring this detailed operational information is to more accurately assess the risk level of each specific task and formulate appropriate safety strategies accordingly. For example, for ultra-high-altitude operations, the system automatically increases safety standards; for welding tasks in complex environments, the number of monitoring devices may need to be increased or alarm thresholds adjusted; and for specific types of welding operations, specialized codes of conduct can be established.

[0038] S102, combining basic personnel information and operation information, formulating behavioral norms for target workers, and determining multiple target locations where monitoring equipment needs to be installed on the target workers based on the behavioral norms.

[0039] In one example, the system first selects appropriate baseline guidelines from a pre-set behavioral code database based on job information such as working height, environmental conditions, and welding type. These guidelines are then further adjusted and optimized based on the worker's personal information, such as height, weight, and work experience.

[0040] For example, for taller workers, the safety distance threshold may need to be increased appropriately; while for experienced workers, the speed limits for certain actions may be slightly relaxed. This personalized adjustment ensures that the code of conduct meets general safety requirements while adapting to the individual characteristics of each worker.

[0041] When developing behavioral guidelines, the system considers multiple factors, including but not limited to: the worker's safe distance from surrounding objects, the maximum permissible body tilt angle, the speed threshold for sudden movements, and the upper limit of the work duration. These parameters are dynamically adjusted based on the specific work environment and worker characteristics. For example, in an open-air environment with strong winds, the permissible body tilt angle may be set to a smaller value to reduce the risk of imbalance.

[0042] Based on the established behavioral guidelines, the system then determines the target areas on the worker where monitoring devices should be installed. These areas typically include the head, torso, hands, and feet, as the movements and status of these areas are critical to the safety of high-altitude welding operations. Specifically, the head can be equipped with a posture sensor to monitor the worker's head position and orientation; the torso can be equipped with a tilt angle sensor to detect the overall body posture; the hands can be equipped with position sensors to track hand movements; and the feet can be equipped with pressure sensors to monitor standing stability.

[0043] It's important not only to consider the independent state of each part but also the relative relationships between them. This comprehensive consideration can more comprehensively reflect workers' work postures and movements, thereby more effectively preventing potential safety hazards. Specifically, when formulating behavioral guidelines, in addition to considering the individual parameters of each part (such as head posture, torso tilt angle, hand movement speed, etc.), the relative relationships between parts should also be included. For example, a minimum safe distance between the head and wrist can be set, as the distance between the worker's eyes and the weld point during welding directly affects vision protection and work quality.

[0044] These target areas were chosen for monitoring because they provide a comprehensive picture of a worker's work status. Head and torso monitoring can promptly detect any risk of loss of balance; hand monitoring can detect overly risky movements; and foot monitoring can provide early warning of potential slips or falls. By installing sensors in these key areas, the system can capture a worker's full range of motion data in real time, enabling safety analysis.

[0045] Based on the above embodiment, as an optional implementation, in S102, the basic personnel information includes height and weight, and the operation information includes operation height, operation environment, and operation type. In combination with the basic personnel information and operation information, the behavioral norms for target workers are formulated, specifically including S201-S203:

[0046] S201, selecting initial behavioral norms from a preset database according to the type of operation.

[0047] In one example, the current job type must be identified. High-altitude welding jobs can include various types, such as steel structure welding, pipeline welding, and equipment installation welding. The system obtains this information through integration with the work order management system or through manual input from on-site managers.

[0048] After obtaining the job type information, the system connects to a pre-defined database of behavioral standards. This database is built based on long-term industry experience, safety regulations, and historical data analysis. It contains initial behavioral standards for various job types. Each job type has its own set of standards, covering key safety points for that job, such as worker posture requirements, tool usage specifications, and environmental parameter restrictions.

[0049] Based on the input task type, the system retrieves the corresponding initial behavioral code from the database. This process is automated, and through pre-defined mapping relationships, the system can quickly locate and retrieve the required code set. For example, if the current task is identified as "high-altitude steel structure welding," the system will retrieve the specific code set for this task type.

[0050] These initial guidelines usually include multiple aspects: posture specifications: such as standing posture during welding, maximum arm extension angle allowed, etc.; operating specifications: such as the correct way to hold the welding gun, reasonable range of welding speed, etc.; safety distance specifications: such as the minimum safe distance between the head and the welding point, the minimum distance from other workers, etc.; environmental parameter restrictions: such as maximum allowable wind speed, minimum visibility requirements, etc.; personal protective equipment requirements: such as the protective equipment that must be worn and the correct way to use it.

[0051] After selecting initial criteria, the system converts them into quantifiable parameters and thresholds. For example, the criterion of "maintaining an appropriate welding distance" might be translated into specific parameter requirements such as "the distance between the head and the weld point should be maintained between 40 and 60 cm." This quantification process enables the system to make precise judgments and analyses during subsequent monitoring.

[0052] S202: Adjust the initial behavioral norms according to the working height and working environment to obtain a first behavioral norm.

[0053] In one example, the current working height and environmental information are obtained. Working height can be obtained through various means, such as height sensors on the work platform, height measurement devices worn by workers, or integration with the Building Information Modeling (BIM) system. Working environment information may include parameters such as temperature, humidity, wind speed, and visibility, which can be collected in real time by on-site environmental monitoring equipment.

[0054] After acquiring this information, the initial behavioral guidelines are modified according to pre-set adjustment rules. These adjustment rules are based on safety engineering principles and extensive historical data analysis. For example, as the operating altitude increases, the system may tighten the thresholds of certain safety parameters accordingly. Specifically, the following adjustments may occur:

[0055] Task height influences:

[0056] When the height exceeds a certain threshold (e.g., 30 meters), the system may increase the lower limit of the "safe distance between head and welding point" from 40 cm to 50 cm.

[0057] For every additional 10 meters of height, the system may decrease the "maximum allowed wind speed" by 0.5 m / s.

[0058] Environmental factors influence: If the current temperature is higher than 35°C, the system may shorten the upper limit of continuous work time and increase the frequency of mandatory breaks. If the humidity exceeds 85%, the system may increase the requirements for insulation protection measures.

[0059] When the visibility is below a certain threshold, the system may reduce the maximum allowed movement speed for workers.

[0060] These adjustments are not simple linear relationships but are based on complex safety models. The system considers the interaction of multiple factors, for example, the combination of high temperature and high humidity may result in stricter safety requirements than considering these two factors individually.

[0061] The adjustment process is automated, and the system modifies the parameters in the initial guidelines based on real-time height and environmental data. This process not only includes adjusting numerical thresholds but may also involve adding new rules or temporarily disabling certain rules that are not applicable.

[0062] After these adjustments, the first behavior specification guidelines generated by the system will be more tailored to the current work reality. This set of guidelines not only contains basic safety requirements for specific work types but also incorporates specific considerations for the current height and environmental conditions.

[0063] S203, adjust the first behavior specification guidelines according to the height and weight of the target worker, obtain the second behavior specification guidelines, and use the second behavior specification guidelines as the behavior specification guidelines for the target worker.

[0064] In an example, the system first needs to obtain the height and weight data of the target worker. These data can be obtained in various ways, such as the worker's electronic health record, smart work card, or real-time measurement before starting work. The system will compare these data with pre-set height and weight ranges to determine which body feature group the worker belongs to.

[0065] After obtaining this information, the system will modify the first behavior specification guidelines according to the pre-set adjustment rules. These adjustment rules are based on ergonomic principles and extensive historical data analysis. The adjustment process will consider the influence of height and weight on various safety parameters, such as:

[0066] Height influence:

[0067] For workers who are shorter than average height, the system may lower the upper limit of the "safe distance between head and welding point" to ensure they can operate comfortably.

[0068] For workers who are taller than average, the system may increase the "maximum allowable reach height" to accommodate their greater range of motion.

[0069] Weight impact: For lighter workers, the system may lower the "maximum allowable wind speed" threshold to prevent them from losing balance in strong winds. For heavier workers, the system may adjust the trigger threshold of the "work platform load warning" to ensure the safety of the platform.

[0070] Combined impact of height and weight: The system calculates the worker's body mass index (BMI) and adjusts the "maximum continuous working time" and "mandatory rest frequency" based on the BMI value to adapt to the physical exertion of workers of different body types.

[0071] For workers with special body shapes (such as those who are particularly tall or short), the system may adjust the "recommended height of the safety belt anchor point" to ensure the best protection effect.

[0072] These adjustments are not simple linear relationships but are based on complex ergonomic models. The system considers the combined effects of height and weight on various safety parameters. For example, a tall but light worker may require specially tailored safety guidelines.

[0073] The adjustment process is automated. Based on the worker's height and weight, the system applies a pre-set adjustment algorithm to fine-tune the parameters of the first behavioral norm. This process not only involves adjusting numerical thresholds but may also involve adding specific personalized rules or modifying the priority of certain rules.

[0074] After these adjustments, the system generates a second set of behavioral guidelines that become the final set of behavioral guidelines for the target worker. This set of guidelines not only includes safety requirements for specific job types and environmental conditions, but also incorporates specific considerations for the worker's individual physical characteristics.

[0075] Based on the above embodiment, as an optional implementation, in S202, the initial behavioral norms are adjusted according to the working height and working environment to obtain the first behavioral norms, which specifically include S301-S302:

[0076] S301, based on the working height and historical accident data, determine a high-risk action threshold corresponding to the working height, and adjust the initial behavioral norm according to the high-risk action threshold to obtain a third behavioral norm.

[0077] In one example, the system obtains information about the current working height. This can be achieved through real-time integration with a work platform height sensor or a height measurement device worn by the worker. Simultaneously, the system accesses a database containing historical accident data. This database records various past high-altitude welding accidents, including detailed information such as the height at which the accident occurred, the specific action type, the cause of the accident, and its consequences.

[0078] Based on the current operating altitude, the system filters historical data for all accidents that occurred within a similar altitude range. For example, if the current operating altitude is 40 meters, the system might analyze all historical accident records within the 35-45 meter range. This approach ensures that the analyzed data is highly relevant to the current operating situation.

[0079] Next, the filtered historical data is deeply analyzed to identify the types of maneuvers that most commonly lead to accidents within this altitude range. This analysis may incorporate statistical methods and machine learning algorithms to accurately identify high-risk movement patterns. For example, the system may discover that at an altitude of approximately 40 meters, "rapid turns" and "excessive forward leaning" are the two movements most likely to cause imbalance and falls.

[0080] Based on these analysis results, the system sets corresponding thresholds for each identified high-risk action type. These thresholds define the safe limits of an action, exceeding which it is considered a high-risk behavior. For example, for a "quick turn," the system might set a rotation speed of no more than 45 degrees per second as a safe threshold. For an "excessive forward lean," the system might set a warning line of 50 cm above the support surface for the body's center of gravity.

[0081] After determining these high-risk action thresholds, the system will adjust the initial behavioral code to generate a third behavioral code. This adjustment process includes but is not limited to the following aspects:

[0082] Add newly identified high-risk actions and their thresholds to the rules. For example, add the rule "turning speed must not exceed 45 degrees per second."

[0083] Strengthen existing rules related to high-risk movements. For example, if the original guidelines had a general rule about maintaining balance, it might now be specified as "the body's center of gravity must not extend more than 50 cm from the support surface."

[0084] Adjust the thresholds for relevant parameters. For example, if the data shows that wind speed has a greater impact on balance at the current altitude, the system may lower the threshold for "maximum allowed wind speed".

[0085] Add specific preventative measures. For example, if data shows that certain combinations of actions are particularly dangerous, the system might add new rules to prohibit those combinations.

[0086] Adjust the priority of safety measures. Based on the analysis results, the system may increase the importance of certain safety measures, such as increasing the requirement for protective equipment for specific parts of the body.

[0087] S302 : determining an adjustment coefficient corresponding to the environmental characteristics of the operating environment according to the environmental characteristics, and adjusting the third behavioral norm by the adjustment coefficient to obtain the first behavioral norm.

[0088] In one example, the system first needs to obtain data on various environmental characteristics of the current operating environment. This data may include parameters such as temperature, humidity, wind speed, visibility, noise level, and air quality. This information can be collected in real time by on-site environmental monitoring equipment or by connecting to meteorological data systems.

[0089] The system compares the acquired environmental characteristic data with pre-set environmental parameter ranges to determine the severity of the current environmental conditions. For example, the system may categorize temperature as normal (15-25°C), high (25-35°C), and extremely high (>35°C). Each environmental characteristic has a similar classification.

[0090] Based on the classification of these environmental characteristics, the system will determine the corresponding adjustment coefficient for each environmental factor. These adjustment coefficients reflect the degree of impact of each environmental factor on safe operation. For example:

[0091] The temperature adjustment factor might be 1.0 for normal temperature, 1.2 for high temperature, or 1.5 for extremely high temperature.

[0092] The wind speed adjustment factor is: a light breeze might be 1.0, a strong wind might be 1.3, and a gust might be 1.8.

[0093] Visibility adjustment factor: Good might be 1.0, fair might be 1.2, and poor might be 1.5.

[0094] The determination of these adjustment coefficients is based on a large amount of experimental data and expert experience, reflecting the impact of various environmental factors on operational safety.

[0095] Next, the system will use these adjustment coefficients to adjust the third behavioral norms to generate the first behavioral norms. This adjustment process includes:

[0096] Adjustment of safety parameter thresholds: The system multiplies each safety parameter threshold in the third behavioral standard by the corresponding environmental adjustment factor. For example, if the third standard specifies a maximum allowable operating time of 4 hours and the current temperature is high (adjustment factor 1.2), then in the first standard, this time may be adjusted to 3.33 hours (4 / 1.2).

[0097] Enhanced safety measures: Certain environmental factors may require additional safety measures. For example, in high humidity environments, the system may increase the frequency of insulation checks on electrical equipment.

[0098] Adjustment of operating limits: Certain environmental conditions may require that certain operations be restricted. For example, in high wind conditions, the system may reduce the maximum permitted operating altitude.

[0099] Adjustment of warning thresholds: The system may adjust the triggering thresholds of various warning systems based on environmental conditions. For example, in conditions of poor visibility, the triggering distance of the collision warning system may be reduced.

[0100] Adjustments to rest periods: Under extreme environmental conditions, the system may increase the frequency and duration of mandatory rest periods.

[0101] Based on the above embodiment, as an optional implementation, in S203, adjusting the first behavioral norm according to the height and weight of the target worker to obtain the second behavioral norm specifically includes S401-S403:

[0102] S401: Input the height and weight of the target worker into a preset human body size model, and calculate the relative position coordinates of each joint point and limb length parameters of the target worker.

[0103] In one example, the system first needs to obtain the target worker's height and weight. This data can be obtained from the worker's onboarding physical examination records or collected in real time using specialized measurement equipment before each job. The purpose of obtaining this data is to adjust the generic human body model into a personalized model that matches the specific worker.

[0104] Next, the system inputs this data into a pre-defined human body model. This pre-defined model, built on extensive anthropometric data and biomechanical research, estimates the size and proportions of various body parts based on height and weight. This model typically includes several key parameters, such as head size, torso length, upper arm length, forearm length, thigh length, and calf length.

[0105] The system uses this preset model, combined with the input height and weight data, to calculate a personalized human body model for the target worker. This process includes:

[0106] Based on height and the average proportions of various parts of the human body, make a preliminary estimate of the length of each limb.

[0107] Based on weight, the thickness of each part is adjusted to more accurately reflect the worker's body shape.

[0108] Indicators such as body mass index (BMI) are used to further optimize model parameters to make them closer to actual body shape.

[0109] Based on this personalized model, the system calculates the relative coordinates of each worker's joints. These joints typically include key locations such as the top of the head, neck, shoulders, elbows, wrists, hips, knees, and ankles. Each joint is assigned a three-dimensional coordinate representing its position relative to the center of the body (usually defined as the center of the hip).

[0110] At the same time, the system also calculates the length parameters of each limb, including upper arm length, forearm length, torso length, thigh length, and calf length. These length parameters are an important basis for subsequent kinematic analysis.

[0111] S402: Establish a personalized human skeleton model of the target worker based on the relative position coordinates of each joint point and the limb length parameters.

[0112] In one example, the system first uses the relative position coordinates of the joints and limb length parameters calculated in the previous step as input data. This data includes the 3D coordinates of key joints such as the top of the head, neck, shoulder, elbow, wrist, hip, knee, and ankle, as well as the length parameters of limbs such as the upper arm, forearm, torso, thigh, and calf.

[0113] The system uses this data to construct a skeletal structure model in three-dimensional space. This process typically involves the following steps: First, the system marks the locations of each joint in three-dimensional space. These points become key nodes in the skeletal structure. Then, based on the locations of these joints and limb length parameters, the system creates connecting line segments between adjacent joints. These line segments represent the human skeletal structure, such as the cervical vertebrae, upper arm bones, forearm bones, femurs, tibias, etc. Next, the system assigns these skeletal line segments an appropriate thickness and shape. This step typically takes into account the worker's weight and body shape information, making the skeletal model closer to the actual human structure.

[0114] The system also adds joint range of motion limits to the model. These limits, based on human physiology data, define the maximum angular range of motion for each joint. This is crucial for subsequent motion analysis and safety assessments.

[0115] Finally, the system optimizes and smoothes the entire skeleton model to ensure that the various parts of the model maintain the correct proportions and connections.

[0116] S403: Adjust the threshold of the key parts in the first behavioral standard criterion according to the personalized human skeleton model to obtain a second behavioral standard criterion.

[0117] In one example, the system first considers the thresholds for key areas in the first behavioral code. These thresholds typically include the maximum range of motion for each joint, the maximum reach for each body part, and the maximum allowable center of gravity shift. These general thresholds are based on extensive statistical data and safety standards and are generally applicable.

[0118] Next, the system adjusts these universal thresholds based on the personalized human skeleton model established in the previous step. This process involves multiple aspects: First, the system adjusts the maximum range of motion of each joint based on the worker's actual skeletal length and proportions. For example, for a worker with longer arms, the system might slightly increase the maximum range of motion thresholds for the shoulder and elbow to accommodate their greater range of motion. Conversely, for a worker with shorter arms, these thresholds might be slightly lowered.

[0119] Secondly, the system adjusts the maximum reach of each body part based on the worker's height and body shape. For example, for taller workers, the system may increase the maximum allowable upward reach, but it will also adjust the allowable range of center of gravity deviation accordingly to ensure safety.

[0120] Thirdly, the system will take into account the worker's weight distribution and adjust the maximum allowable range of center of gravity deviation. For example, for a worker with a heavier upper body, the system may reduce the maximum allowable forward and side tilt angles to reduce the risk of imbalance.

[0121] The system also adjusts the safety thresholds for certain movements based on the worker's skeletal structure. For example, for workers with a larger spinal curvature, the system might lower the maximum angle limit for bending.

[0122] Through this personalized adjustment, the system generates a second set of behavioral norms, which contains a series of precise safety thresholds for specific workers, covering various key parts and movements.

[0123] Based on the above embodiment, as an optional implementation, in S102, the multiple target locations where the target worker needs to install the monitoring equipment are determined according to the code of conduct, specifically including:

[0124] Based on the standard posture that the target worker needs to maintain when performing welding work as stipulated in the code of conduct, multiple target locations where the target worker needs to install monitoring equipment are determined, and the type of monitoring equipment installed at each target location is determined.

[0125] In one example, the system first analyzes the standard postures specified in the code of conduct. These standard postures typically include key elements such as the body position, arm angle, and head orientation a worker should maintain during welding. The system then focuses on those body parts and movement characteristics that are critical to safety.

[0126] Based on these standard postures, the system identifies target areas for key monitoring. These areas typically include, but are not limited to, the head, neck, shoulders, elbows, wrists, torso, waist, knees, and ankles. These areas are selected based on their importance in maintaining standard posture and performing welding operations, as well as their role in indicative of the worker's overall safety status.

[0127] After determining the target area, the system will select the appropriate type of monitoring device for each area. This selection process takes into account multiple factors, including the required accuracy of the monitoring, the wearing comfort of the device, the specific working environment (such as high temperature, electromagnetic interference, etc.), and the convenience of data transmission. Common types of monitoring devices include:

[0128] Inertial Measurement Unit (IMU): This device typically contains accelerometers, gyroscopes, and magnetometers to accurately measure the posture and motion of body parts. They may be mounted on the head, torso, or limbs.

[0129] Flexible angle sensor: This sensor can measure the bending angle of the joint and is suitable for installation at joints such as elbows and knees.

[0130] Pressure sensor: can be installed on the feet to monitor the worker's center of gravity distribution and balance status.

[0131] Electromyography (EMG) sensors: These can be placed on key muscle groups to monitor muscle fatigue.

[0132] Heart rate and blood oxygen monitors: These are typically worn as wristbands and are used to monitor a worker's overall physiological status.

[0133] Temperature sensor: can be installed on work clothes to monitor changes in workers' body temperature and the surrounding temperature.

[0134] Miniature camera: can be mounted on a helmet to record the worker's field of view and working environment.

[0135] When selecting and configuring these devices, the system considers the synergy between them, ensuring they can provide comprehensive and non-redundant monitoring data. At the same time, the system also considers the lightweight and miniaturization of the equipment to reduce the impact on workers' normal work.

[0136] S103, when the target worker performs welding work, the monitoring data sent by the monitoring equipment of each target part is obtained.

[0137] For example, high-altitude welding operations are highly risky, and every movement and posture of a worker can impact safety. Real-time monitoring data provides immediate insights into the worker's work status, including key information such as the position, posture, and movement speed of various body parts. This data not only reflects the worker's current safety status but also predicts potential dangerous behaviors, enabling proactive prevention rather than reactive response to safety incidents.

[0138] During implementation, it's crucial to ensure that all monitoring devices can stably and continuously collect and transmit data. These devices include, but are not limited to, posture sensors mounted on the worker's head, torso tilt sensors, wrist position sensors, and foot pressure sensors. Each sensor is assigned a unique identification code, enabling the system to accurately distinguish data from different areas.

[0139] The data collection frequency needs to be set based on the importance and rate of change of different parts. For example, rapidly changing hand movements may require a higher sampling frequency, such as 100 times per second; while the relatively slow changes in torso posture can be accommodated at a lower frequency, such as 10 times per second. This differentiated sampling strategy ensures the accuracy of critical data while optimizing the system's data processing load.

[0140] Data is transmitted using real-time wireless technologies such as Bluetooth Low Energy (BLE) or industrial IoT protocols like MQTT. To mitigate potential signal interference at high altitudes, the system employs a multi-faceted backup mechanism: primary data is transmitted in real time over the wireless network while also being temporarily stored locally on the device. In the event of a momentary network outage, locally stored data is retransmitted as soon as the network is restored, ensuring data continuity and integrity.

[0141] The data receiving end is equipped with multiple data processing nodes, using a distributed architecture for preliminary data cleaning and preprocessing. This design reduces the burden on the central server and improves system response speed. The preprocessed data is transmitted to the central server in real time for deeper analysis and judgment.

[0142] During the data acquisition process, the system also performs real-time data quality checks. If a sensor's data shows an anomaly (such as a sudden data interruption or an unreasonable value jump), the system will immediately flag it and notify on-site management personnel so that they can promptly check and correct the equipment failure, ensuring continuous and reliable monitoring.

[0143] S104: Calculate the relationship parameters between target parts based on the monitoring data.

[0144] In one example, the system first preprocesses and standardizes the raw data acquired from various monitoring devices. This involves removing noisy data, correcting for possible measurement errors, and converting different types of data (such as position, angle, and pressure) into a unified unit of measurement. This step ensures the accuracy and comparability of subsequent calculations.

[0145] Next, the system calculates various relationship parameters based on a preset algorithm. These parameters primarily include spatial distance parameters, angle parameters, speed parameters, and relative motion parameters. For example, the distance between the head and wrist is a key spatial distance parameter, directly related to the safety of welding operations; the angle between the torso and the ground is an important angle parameter used to assess the worker's overall balance; the speed of the head relative to the torso is a speed parameter that can be used to determine whether the worker has made potentially dangerous movements such as sudden head turns; and the movement trajectory of the hand relative to the torso is a relative motion parameter that can be used to analyze the standardization of welding movements.

[0146] To calculate these relationship parameters, the system uses a combination of real-time and batch processing. For critical safety parameters, such as head-hand distance, the system performs real-time calculations to ensure immediate detection of potential hazards. For parameters requiring long-term analysis, such as the regularity of movement trajectories, the system uses periodic batch processing to reduce the computational burden.

[0147] During the calculation process, the system also considers individual worker differences and work environment factors. For example, when calculating head-to-hand distance, appropriate corrections are made based on the worker's height and arm length; when analyzing torso tilt angle, environmental factors such as the inclination of the work platform are taken into account. This personalized parameter calculation ensures the accuracy and applicability of the analysis results.

[0148] The calculated relationship parameters are stored in a database in real time and linked to information such as worker ID and timestamp for subsequent analysis and traceability. The system also compares these parameters against pre-set safety thresholds. If any parameter is found to be outside the safe range, the system immediately triggers an alert.

[0149] Based on the above embodiment, as an optional implementation, in S104, the relationship parameters include spatial distance and relative angle. Calculating the relationship parameters between target parts based on the monitoring data specifically includes S501-S503:

[0150] S501 , extracting the three-dimensional spatial position coordinates of each target part and the direction vector of each target part according to the monitoring data.

[0151] In one example, the system first collects raw data from various monitoring devices. This data may include acceleration, angular velocity, and magnetic field strength from an inertial measurement unit (IMU), bending angle data from a flexible angle sensor, and pressure distribution data from a pressure sensor. The system then preprocesses this raw data, including denoising, calibration, and time synchronization, to ensure data quality and consistency.

[0152] Next, these pre-processed data are converted into the three-dimensional spatial coordinates and direction vectors of each target part. This process usually involves the following steps:

[0153] First, for a target part equipped with an IMU, the system uses an attitude estimation algorithm (such as a Kalman filter or complementary filter) to fuse acceleration, angular velocity, and magnetic field data to obtain the part's orientation quaternion or rotation matrix. This information directly represents the target part's orientation vector.

[0154] The system then uses the kinematic model, the orientation information obtained in the previous step, and the worker's skeletal model to calculate the three-dimensional spatial coordinates of each target part relative to a reference point (usually the ground or a workbench). This process may involve complex forward kinematics calculations.

[0155] For joints equipped with flexible angle sensors, the system converts the angle data into the rotation matrix of the joint to further improve the orientation information of the target part.

[0156] For the pressure sensor data on the foot, the system estimates the center of gravity by analyzing the pressure distribution, which helps to more accurately determine the overall posture.

[0157] During this process, the system considers various possible error sources, such as sensor drift and installation deviation, and applies appropriate correction algorithms to improve accuracy. Furthermore, the system utilizes multi-sensor fusion technology, leveraging the strengths of different sensor types to obtain more reliable position and orientation estimates.

[0158] Through this method, the system ultimately obtains a set of structured data, including the precise position coordinates (x, y, z) and direction vectors (i, j, k) of each target part in three-dimensional space. These data constitute a complete mathematical description of the worker's current posture.

[0159] S502: Calculate the spatial distance between the target parts according to the three-dimensional spatial position coordinates of the target parts.

[0160] In one example, the system first utilizes the three-dimensional spatial coordinates of each target part obtained in the previous step. These coordinates are typically expressed as (x, y, z), representing positions along three orthogonal axes. The system then selects target part pairs for which distances need to be calculated. These pairs are selected based on safety assessment requirements and typically include adjacent body parts (such as the distance from the elbow to the wrist), critical operating areas (such as the distance between the hands), and pairs of parts that have a significant impact on overall posture safety (such as the distance from the head to the welding point).

[0161] For each pair of selected target parts, the system calculates the spatial distance between them using the Euclidean distance formula in three-dimensional space. Assuming that the coordinates of the two target parts are (x1, y1, z1) and (x2, y2, z2), the spatial distance d between them can be calculated using the following formula:

[0162] d=;

[0163] The system performs this calculation for all selected part pairs, generating a series of spatial distance values. These calculations are typically performed at high frequencies in real-time systems to capture dynamic changes in the worker's posture.

[0164] During the calculation process, the system takes into account possible sources of error, such as error propagation in coordinate measurements. To improve accuracy, the system may employ optimization techniques, such as using a Kalman filter to smooth the distance estimate or exploiting the statistical properties of multiple measurements to improve reliability.

[0165] The system also compares the calculated distances against pre-set safety thresholds. These thresholds may be derived from behavioral guidelines or dynamically adjusted based on the worker's personalized skeletal model. When a distance exceeds or approaches a safety threshold, the system flags the situation for further action.

[0166] S503: Calculate the relative angles between the target parts according to the direction vectors of the target parts.

[0167] In one example, the system first uses the direction vectors of each target part obtained in the previous step. These direction vectors are usually expressed in the form of unit vectors (i, j, k), where i, j, and k represent the components on three orthogonal axes. The system selects the target part pairs for which relative angles need to be calculated. These selections are based on the requirements of the safety assessment, usually including the relative angles of adjacent joints (such as the angle of the arm relative to the torso), the orientation of key operating parts (such as the angle of the handheld welding gun relative to the work surface), and the angles required for overall posture safety assessment (such as the angle of the head orientation relative to the body's midline).

[0168] For each pair of selected target parts, the system uses the dot product formula in vector algebra to calculate the relative angle between them. Assuming that the direction vectors of the two target parts are v1=(i1, j1, k1) and v2=(i2, j2, k2), the relative angle θ between them can be calculated by the following formula:

[0169] θ=arccos((i1i2 + j1j2+k1k2) / (|v1||v2|))

[0170] Where |v1| and |v2| represent the vector modulus, which is 1 for unit vectors. The angle returned by the arccos function is usually in radians, which the system may convert to a more intuitive degree system.

[0171] The system performs this calculation for all selected pairs of parts, generating a series of relative angle values. These calculations are typically performed frequently in real-time systems to capture dynamic changes in the worker's posture. During the calculation process, the system takes into account possible sources of error, such as noise and accumulated errors in the vector measurements.

[0172] The system also compares the calculated angles against pre-set safety thresholds. These thresholds may be derived from behavioral guidelines or dynamically adjusted based on the worker's personalized ergonomic model. When an angle exceeds or approaches a safety threshold, the system flags the situation for further action.

[0173] S105, based on the behavioral norms, determine whether the relationship parameters between the target parts meet the preset requirements. If the relationship parameters between any two target parts do not meet the preset requirements, generate and send adjustment information to the terminal device of the target worker to enable the target worker to regulate his behavior.

[0174] In one example, the system first compares the calculated relationship parameters with pre-defined behavioral guidelines. These guidelines, developed based on industry standards, expert experience, and historical data analysis, include safety thresholds for various parameters. For example, the minimum safe distance between the head and wrist, the maximum tilt angle of the torso, and the maximum allowable speed of hand movement. The system then checks the relationship parameters between each pair of target parts to determine whether they meet these pre-defined requirements.

[0175] The judgment process utilizes a multi-level assessment mechanism. First, a single parameter threshold is assessed to check whether each relationship parameter is within acceptable limits. Second, a comprehensive multi-parameter assessment is performed, as some safety risks may result from the combined effects of multiple parameters. For example, even if head-hand distance is within a safe range, rapid head movements can still pose a potential risk. Therefore, the system utilizes a pre-defined multi-parameter assessment model for a more comprehensive assessment.

[0176] If the system detects that the relationship parameters between any two target parts do not meet preset requirements, it immediately generates adjustment information. This process is highly personalized and contextual. The system not only considers the specific parameter violations but also incorporates the worker's personal characteristics (such as experience level and physical condition) and the current working environment (such as platform height and weather conditions) to customize the adjustment recommendations.

[0177] The resulting adjustment information is then transmitted via the worker's terminal device. This terminal device might be a smartwatch worn by the worker, a microdisplay on a hard hat, or an audio and visual alarm system within the work area. Information delivery methods vary and may include visual prompts (such as graphic warnings on a display), auditory prompts (such as voice warnings or specific alarm tones), tactile prompts (such as vibrations on a smart bracelet), or a combination of these. The method chosen depends on the current work environment and risk level.

[0178] Adjustment messages include not only warnings but also specific suggestions for improvement. For example, if the system detects that the head and hands are too close together, it might prompt, "Please tilt your head back 15 degrees to increase the safe distance from the welding point." This specific guidance helps workers quickly adjust to a safe working posture.

[0179] Based on the above embodiment, as an optional implementation, in S105, based on the behavioral norms, determining whether the relationship parameters between the target parts meet the preset requirements specifically includes S601-S602:

[0180] S601, converting the standard posture specified in the behavioral norms into target relationship parameter thresholds, and establishing a target matrix based on the target relationship parameter thresholds.

[0181] In one example, the system first analyzes standard postures specified in behavioral guidelines. These guidelines, typically developed by industry experts and safety managers based on extensive experience and research, include descriptions of various safe postures, such as "arms should not be overextended" and "torso tilt should not exceed a specific angle." The system needs to convert these qualitative descriptions into quantifiable parameters.

[0182] During the conversion process, the system considers two key parameters calculated in the previous step: spatial distance and relative angle. For each specification, the system determines the corresponding parameter type and threshold. For example, "arms should not be overextended" might be converted to "the distance from the shoulder to the wrist should not exceed X centimeters"; "torso tilt angle should not exceed a specific value" might be converted to "the angle between the torso and the vertical should not exceed Y degrees." The determination of these thresholds may require the involvement of safety experts or be based on statistical analysis of extensive historical data.

[0183] After determining the thresholds for each parameter, the system constructs a target matrix. The rows and columns of this matrix represent different target locations, and each element represents the threshold of the relationship parameter between two target locations. Diagonal elements may represent parameter thresholds specific to a single location (e.g., angular velocity limits). The matrix may contain multiple levels, corresponding to different types of parameters (e.g., distance, angle).

[0184] The target matrix is ​​constructed as follows:

[0185] Determine the matrix dimensions: Determine the size of the matrix based on the number of target sites to be monitored. Fill in the matrix elements: Fill in the corresponding matrix positions with the relationship parameter thresholds for each pair of target sites. Symmetrize: Ensure the symmetry of the matrix, as some parameters (such as distance) are symmetrical. Standardize: It may be necessary to standardize different types of parameters to make them comparable on the same scale.

[0186] In addition, the system may establish multiple target matrices for different work tasks or different groups of workers (such as novices and experts) to accommodate different safety requirements.

[0187] S602 , judging whether the relationship parameters between the target parts meet preset requirements based on the difference between the relationship parameters between the target parts and the corresponding thresholds in the target matrix.

[0188] In one example, the system first obtains the relationship parameters between the target parts of the current worker's posture. These parameters include the spatial distances and relative angles calculated in the previous step. The system then accesses a pre-established target matrix and extracts the corresponding parameter thresholds. For each pair of target parts, the system calculates the difference between the actual parameter value and the threshold value. This difference can be expressed as: Difference = Actual Parameter Value - Threshold Parameter Value.

[0189] The system may use different comparison logic for different parameter types. For example, for distance parameters, a distance below a threshold may be considered safe; for angle parameters, the angle may need to be within a specific range to be considered safe. The system will set appropriate judgment logic based on the characteristics of each parameter.

[0190] When calculating the difference, the system also considers error tolerance. Because slight errors can occur during measurement and calculation, the system may set an acceptable range, and only when the difference exceeds this range will it be considered non-compliant. This helps reduce false positives and improves system reliability.

[0191] The judgment process may employ a multi-level warning mechanism. For example, when the difference approaches but does not exceed a threshold, the system may issue a mild warning; when the difference significantly exceeds the threshold, a severe warning may be issued. This grading mechanism helps workers better understand and adjust their posture.

[0192] The system also considers the interrelationships between parameters. Certain parameters may be correlated, and changes in one parameter may affect the safety assessment of others. Therefore, the system uses a comprehensive assessment approach to consider the combined effects of multiple parameters when making its judgment.

[0193] The results of the judgment are recorded and analyzed in real time. The system not only focuses on the judgment results at a single point in time, but also analyzes the trend of changes in parameters over time. This helps identify potential risk patterns, such as whether workers are gradually deviating from safe postures.

[0194] In one example, based on the above method, the present application also discloses a high-altitude operation safety management device, such as Figure 2 As shown, Figure 2 : is a structural diagram of a high-altitude work safety management device provided by an embodiment of the present application, the device includes: a first acquisition module, a combination module, a second acquisition module, a calculation module and a generation module; wherein,

[0195] The first acquisition module is used to obtain the basic personnel information of the target worker and the operation information of the high-altitude target worker to be performed welding work; the combination module is used to combine the basic personnel information and operation information to formulate the behavioral code of the target worker, and determine the multiple target parts where the target worker needs to install monitoring equipment based on the behavioral code; the second acquisition module is used to obtain the monitoring data sent by the monitoring equipment of each target part when the target worker performs the welding work; the calculation module is used to calculate the relationship parameters between each target part based on the monitoring data; the generation module is used to determine whether the relationship parameters between each target part meet the preset requirements based on the behavioral code. If the relationship parameters between any two target parts do not meet the preset requirements, the adjustment information is generated and sent to the terminal device of the target worker to standardize the behavior of the target worker.

[0196] It should be noted that the above embodiments provide devices that implement their functions using only the division of the above functional modules as examples. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0197] See Figure 3 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 3 As shown, the electronic device 1000 may include: at least one processor 1001 , at least one network interface 1004 , a user interface 1003 , a memory 1005 , and at least one communication bus 1002 .

[0198] The communication bus 1002 is used to implement the connection and communication between these components.

[0199] The user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.

[0200] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0201] Processor 1001 may include one or more processing cores. Using various interfaces and circuits, processor 1001 connects to various components within the server. It executes instructions, programs, code sets, or instruction sets stored in memory 1005, as well as accesses data stored in memory 1005, to perform various server functions and process data. Optionally, processor 1001 may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). Processor 1001 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing content displayed on the display; and the modem handles wireless communications. It is understood that the modem may not be integrated into processor 1001 but implemented as a separate chip.

[0202] Among them, the memory 1005 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 1005 may optionally be at least one storage device located away from the aforementioned processor 1001. As Figure 3 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a high-altitude work safety management method.

[0203] exist Figure 3In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 1001 can be used to call an application program storing a method for high-altitude work safety management in the memory 1005. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.

[0204] An electronic device readable storage medium stores instructions, which, when executed by one or more processors, enable the electronic device to execute one or more of the methods described in the above embodiments.

[0205] It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for this application.

[0206] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0207] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of the devices or units can be electrical or other forms.

[0208] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0209] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0210] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of this application. The aforementioned memory includes various media that can store program code, such as USB flash drives, mobile hard drives, magnetic disks, or optical disks.

[0211] The above is only an exemplary embodiment of the present disclosure and is not intended to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. Those skilled in the art will easily think of other embodiments of the present disclosure after considering the specification and practicing the disclosure herein. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not recorded in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for safety management of aerial work, characterized in that: The method comprises: Obtaining basic personnel information of the target worker and operation information of the welding operation to be performed by the target worker at high altitude; Formulate a code of conduct for the target worker based on the basic personnel information and the operation information, wherein the basic personnel information includes height and weight, and the operation information includes operation height, operation environment, and operation type. Formulating the code of conduct for the target worker based on the basic personnel information and the operation information includes: selecting an initial code of conduct from a preset database according to the operation type; adjusting the initial code of conduct according to the operation height and the operation environment to obtain a first code of conduct; adjusting the first code of conduct according to the height and weight of the target worker to obtain a second code of conduct, and using the second code of conduct as the code of conduct for the target worker, including: Inputting the height and weight of the target worker into a preset human body size model, calculating the relative position coordinates of each joint point and limb length parameters of the target worker; establishing a personalized human skeleton model of the target worker based on the relative position coordinates of each joint point and the limb length parameters; adjusting the key part thresholds in the first behavioral standard criterion based on the personalized human skeleton model to obtain a second behavioral standard criterion; and determining multiple target parts of the target worker where monitoring equipment needs to be installed based on the behavioral standard criterion; When the target worker performs the welding operation, acquiring monitoring data sent by the monitoring equipment at each target part; Calculating relationship parameters between the target parts according to the monitoring data; On the basis of the behavioral norms, it is determined whether the relationship parameters between the target parts meet the preset requirements. If the relationship parameters between any two target parts do not meet the preset requirements, adjustment information is generated and sent to the terminal device of the target worker to enable the target worker to regulate his behavior.

2. The high-altitude operation safety management method according to claim 1, characterized in that: The initial behavioral norm is adjusted according to the working height and the working environment to obtain a first behavioral norm, including: determining a high-risk action threshold corresponding to the operating height based on the operating height and historical accident data, and adjusting the initial behavioral norm according to the high-risk action threshold to obtain a third behavioral norm; According to the environmental characteristics of the working environment, an adjustment coefficient corresponding to the environmental characteristics is determined, and the third behavioral norm criterion is adjusted by the adjustment coefficient to obtain a first behavioral norm criterion.

3. The high-altitude operation safety management method according to claim 1, characterized in that: The target locations where the target workers need to install monitoring equipment are determined according to the code of conduct, including: According to the standard posture that the target worker needs to maintain when performing the welding operation as specified in the code of conduct, multiple target locations where the target worker needs to install monitoring equipment are determined, and the type of monitoring equipment installed at each target location is determined.

4. The high-altitude operation safety management method according to claim 1, characterized in that: The relationship parameters include spatial distance and relative angle. The calculation of the relationship parameters between the target parts based on the monitoring data includes: extracting the three-dimensional spatial position coordinates of each target part and the direction vector of each target part according to the monitoring data; Calculating the spatial distance between the target parts according to the three-dimensional spatial position coordinates of the target parts; The relative angles between the target parts are calculated according to the direction vectors of the target parts.

5. The high-altitude work safety management method according to claim 1, characterized in that: On the basis of the behavioral norms, determining whether the relationship parameters between the target parts meet the preset requirements includes: Converting the standard posture specified in the behavioral code into a target relationship parameter threshold, and establishing a target matrix based on the target relationship parameter threshold; According to the difference between the relationship parameter between each target part and the corresponding threshold value in the target matrix, it is judged whether the relationship parameter between each target part meets the preset requirements.

6. A high-altitude work safety management device, characterized in that: The device includes: a first acquisition module, a combination module, a second acquisition module, a calculation module and a generation module; wherein, The first acquisition module is used to obtain basic personnel information of the target worker and operation information of the welding operation to be performed by the target worker at high altitude; The combination module is used to Formulate a code of conduct for the target worker based on the basic personnel information and the operation information, wherein the basic personnel information includes height and weight, and the operation information includes operation height, operation environment, and operation type. Formulating the code of conduct for the target worker based on the basic personnel information and the operation information includes: selecting an initial code of conduct from a preset database according to the operation type; adjusting the initial code of conduct according to the operation height and the operation environment to obtain a first code of conduct; adjusting the first code of conduct according to the height and weight of the target worker to obtain a second code of conduct, and using the second code of conduct as the code of conduct for the target worker, including: Inputting the height and weight of the target worker into a preset human body size model, calculating the relative position coordinates of each joint point and limb length parameters of the target worker; establishing a personalized human skeleton model of the target worker based on the relative position coordinates of each joint point and the limb length parameters; adjusting the key part thresholds in the first behavioral standard criterion based on the personalized human skeleton model to obtain a second behavioral standard criterion; and determining multiple target parts of the target worker where monitoring equipment needs to be installed based on the behavioral standard criterion; The second acquisition module is configured to acquire the monitoring data sent by the monitoring equipment at each target part when the target worker performs the welding operation; The calculation module is used to calculate the relationship parameters between the target parts according to the monitoring data; The generation module is used to determine whether the relationship parameters between the target parts meet the preset requirements based on the behavioral norms. If the relationship parameters between any two target parts do not meet the preset requirements, adjustment information is generated and sent to the terminal device of the target worker to enable the target worker to standardize his behavior.

7. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 5.

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