Safety warning system for high-altitude workers in house building and method thereof

Abstract

This invention provides a safety early warning system and method for high-altitude workers in building construction, comprising: a personnel positioning module for real-time acquisition of the precise location information of high-altitude workers within the building construction work area; an environmental monitoring module for real-time monitoring of environmental parameters in the high-altitude work area; a personnel status monitoring module for monitoring the movement and physiological status information of high-altitude workers; a central processing module for receiving data transmitted from the personnel positioning module and the environmental monitoring module, and performing real-time assessment of the risks of high-altitude operations based on a preset multi-factor comprehensive evaluation algorithm; an early warning distribution module for issuing early warning information to high-altitude workers and management personnel in various ways according to the early warning instructions; and a communication module for data transmission. This invention fully considers the complexity and dynamism of various risk factors, and can comprehensively and accurately assess the risks of high-altitude operations, providing a reliable basis for timely early warning measures.

Description

Technical Field

[0001] This invention relates to the field of high-altitude operation early warning technology, and in particular to a safety early warning system and method for personnel working at heights in building construction. Background Technology

[0002] In the construction industry, working at heights is a common and crucial part of the construction process, encompassing tasks such as exterior wall construction, steel structure installation, and maintenance of equipment at heights. With the continuous development of the construction industry, high-rise and super high-rise buildings are becoming increasingly common, significantly increasing the complexity and danger of working at heights.

[0003] Working at heights presents a complex and ever-changing environment, influenced by a variety of factors. In terms of the natural environment, weather conditions such as wind speed, temperature, and humidity are unpredictable. For example, strong winds can cause workers to lose their balance, high temperatures can lead to heatstroke, and low temperatures can cause frostbite. Excessively high or low humidity can also adversely affect the physical condition of workers and the performance of equipment. Furthermore, construction sites may contain harmful gases such as carbon monoxide and methane; if their concentrations exceed safe levels, they can seriously threaten the lives of workers.

[0004] From the perspective of the workers themselves, prolonged work at heights can easily lead to fatigue, which in turn affects their concentration and operational accuracy, increasing the risk of accidents. At the same time, some workers may engage in non-standard operating procedures, such as not wearing safety protective equipment correctly or illegally staying in dangerous areas, all of which significantly increase the likelihood of accidents.

[0005] Currently, although there are some safety warning measures for high-altitude operations, most of them have limitations. Some systems only focus on a single factor, such as monitoring only wind speed and issuing an alarm when the wind speed exceeds a certain value. However, such single-factor monitoring cannot comprehensively assess the risks of the operation. For example, even if the wind speed is within the safe range, an accident may still occur if the operator is unwell or violates regulations.

[0006] Therefore, it is necessary to provide a new safety early warning system and method for workers performing high-altitude operations in building construction to solve the above-mentioned technical problems. Summary of the Invention

[0007] To address the aforementioned technical problems, this invention provides a safety early warning system and method for personnel working at heights in building construction.

[0008] The safety early warning system for high-altitude workers in building construction provided by the present invention includes: a personnel positioning module, used to obtain the precise location information of high-altitude workers in the building construction work area in real time;

[0009] The environmental monitoring module is used to monitor environmental parameters in high-altitude work areas of buildings in real time.

[0010] The personnel status monitoring module is used to monitor the movement and physiological status information of personnel working at heights.

[0011] The central processing module receives data transmitted from the personnel positioning module and the environmental monitoring module, and performs real-time risk assessment of high-altitude operations based on a preset multi-factor comprehensive evaluation algorithm. The central processing module performs the following operations:

[0012] Based on the location information provided by the personnel positioning module, the environmental parameters provided by the environmental monitoring module, and the action and physiological information provided by the personnel status monitoring module, a quantitative score is calculated. The scores are then weighted and summed based on preset weights. A dynamic correction coefficient is calculated based on the mutual influence relationship between various risk factors. The weighted summation result is multiplied by the dynamic correction coefficient to obtain a comprehensive risk score. The risk assessment results are divided into different risk levels based on the comprehensive risk score. Based on the risk assessment results, it is determined whether the working status and environmental conditions of the high-altitude workers are safe, and a corresponding early warning instruction is sent to the early warning release module.

[0013] The early warning distribution module, connected to the central processing module, is used to issue early warning information to high-altitude workers and managers in various ways according to the early warning instructions.

[0014] The communication module is used to realize data transmission between the personnel positioning module, environmental monitoring module, central processing module, and early warning release module.

[0015] The data storage management module is used to store the raw data collected by the personnel positioning module and the environmental perception module, as well as the early warning information generated by the central processing module. The data is stored on multiple server nodes through distributed storage to prevent data loss due to the failure of a single node.

[0016] Furthermore, the personnel status monitoring module includes:

[0017] The physiological parameter monitoring submodule is used to monitor the worker's heart rate, blood pressure, and blood oxygen saturation in real time through a physiological parameter monitoring device worn on the worker's body. The physiological parameter monitoring device adopts a non-invasive or minimally invasive monitoring method to ensure that it does not affect the worker's normal work. The monitored physiological parameters are transmitted to the central processing module. The central processing module determines whether the worker's physical condition is suitable for continuing to work based on the preset physiological parameter safety range. When the physiological parameters exceed the safety range, an early warning signal is sent to the early warning release module.

[0018] The motion monitoring submodule uses accelerometers and gyroscopes to monitor the movements and postures of workers. The motion monitoring submodule transmits the monitoring data to the central processing module. The central processing module analyzes the motion data to determine whether the workers are in a safe state. When abnormal movements are detected, the early warning module is triggered in a timely manner to issue an early warning.

[0019] Furthermore, the environmental parameters include wind speed, air humidity, temperature, and concentration of harmful gases in the work area.

[0020] Furthermore, the scoring of the location information is based on the following preset criteria:

[0021] Edge distance scoring: 0 points for edge distance less than 1 meter, 5 points for edge distance greater than or equal to 0.5 meters and less than or equal to 1 meter, and 10 points for edge distance greater than 0.5 meters;

[0022] Seatbelt condition rating: 0 points for correct use, 10 points for incorrect use;

[0023] The environmental parameters are scored based on the following preset criteria:

[0024] Wind speed rating: 0 points for wind speed less than or equal to 10.8 m / s, 5 points for wind speed greater than 10.8 m / s and less than or equal to 15 m / s, and 10 points for wind speed greater than 15 m / s;

[0025] Temperature rating: -10℃ to 35℃ is 0 points, below -10℃ or above 35℃ is 5 points, below 0℃ or above 40℃ is 10 points;

[0026] Humidity rating: 0 points for 40%-70%, 5 points for less than 40% or greater than 70%, and 10 points for less than 30% or greater than 80%.

[0027] Hazardous gas concentration rating: 0 points for concentration less than or equal to the safety threshold, 5 points for concentration greater than the safety threshold but less than or equal to the critical value, and 10 points for concentration greater than the critical value;

[0028] The scoring of the status information is based on the following preset criteria:

[0029] Heart rate score: 60-100 bpm is 0 points, 100-120 bpm is 5 points, and greater than 120 bpm is 10 points;

[0030] Blood pressure score: less than 140 / 90 mmHg is 0 points, 140 / 90-160 / 100 is 5 points, and greater than 160 / 100 is 10 points;

[0031] Blood oxygen saturation: ≥95% is 0 points, 90%-95% is 5 points, and <90% is 10 points;

[0032] Movement and posture rating: Stable posture is 0 points, slight swaying is 5 points, and severe imbalance is 10 points.

[0033] Furthermore, the preset weights include an environmental risk weight of 30%, a personnel physiological risk weight of 25%, a personnel action risk weight of 20%, a location and equipment risk weight of 15%, and a management risk weight of 10%.

[0034] Furthermore, the dynamic correction coefficient is calculated based on the correlation coefficients between risk factors, where the correlation coefficient between wind speed and physiological state is 0.5, the correlation coefficient between edge distance and seat belt status is 0.6, and the correlation coefficient between wind speed and action posture is 0.4. When the wind speed is greater than 10.8 m / s, the physiological score is multiplied by a correction coefficient of 1.2. When the edge distance is less than 0.5 meters and the seat belt is not used correctly, the comprehensive score is multiplied by a correction coefficient of 1.5. When the wind speed is greater than 10.8 m / s and the action posture is unstable, the comprehensive score is multiplied by a correction coefficient of 1.3.

[0035] Another aspect of the present invention provides a safety early warning method for workers performing high-altitude operations in building construction, the method comprising the following steps:

[0036] Step 1: Receiving Data: The central processing module receives location information from the personnel positioning module, environmental parameters from the environmental monitoring module, and personnel status information from the personnel status monitoring module in real time.

[0037] Step 2: Quantitative scoring: Quantitatively score the location information, environmental parameters, and personnel status information;

[0038] Step 3: Weighted Summation: Perform a weighted summation of each score based on preset weights;

[0039] Step 4: Dynamic Adjustment: Calculate the dynamic adjustment coefficient based on the interrelationships between various risk factors;

[0040] Step 5: Generate a comprehensive score: Multiply the weighted summation result by the dynamic correction coefficient to obtain the comprehensive risk score;

[0041] Step Six: Risk Classification: Based on the comprehensive risk score, the risk assessment results are classified into low risk, medium risk, and high risk.

[0042] Step 7: Sending early warning instructions: Based on the risk assessment results, send corresponding early warning instructions to the early warning distribution module. No early warning instructions are sent for low-risk areas, yellow early warning instructions are sent for medium-risk areas, and red early warning instructions are sent for high-risk areas.

[0043] Furthermore, before calculating the weighted summation result, the central processing module filters out abnormal data to ensure the accuracy of the scoring.

[0044] Compared with related technologies, the safety early warning system and method for high-altitude workers in building construction provided by this invention have the following beneficial effects:

[0045] 1. This invention integrates a personnel positioning module, an environmental monitoring module, and a personnel status monitoring module, enabling real-time acquisition of precise location information of high-altitude workers, environmental parameters of the work area, and information on the workers' actions and physiological states. The central processing module employs a multi-factor comprehensive evaluation algorithm to quantify and score these data, perform weighted summation, and calculate dynamic correction coefficients based on the interrelationships between various risk factors, ultimately obtaining a comprehensive risk score. This fully considers the complexity and dynamism of various risk factors, enabling a comprehensive and accurate assessment of the risks of high-altitude operations and providing a reliable basis for timely early warning measures.

[0046] 2. This invention can monitor and assess the risks of high-altitude operations in real time, promptly identify potential safety hazards, and remind workers and managers to take corresponding measures through early warning information, thereby effectively avoiding accidents and protecting the lives of workers. At the same time, the risk assessment and early warning mechanism also helps to improve construction efficiency, reduce work stoppages and delays caused by safety accidents, and lower construction costs. Attached Figure Description

[0047] Figure 1 This is a structural block diagram of a safety early warning system for workers performing high-altitude operations in building construction, provided by the present invention.

[0048] Figure 2 The structural block diagram of the personnel status monitoring module provided by the present invention;

[0049] Figure 3 This is a flowchart illustrating the safety early warning method for workers performing high-altitude operations in building construction provided by the present invention. Detailed Implementation

[0050] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0051] Please refer to the following: Figure 1 , Figure 2 , Figure 3 ,in, Figure 1 This is a structural block diagram of a safety early warning system for workers performing high-altitude operations in building construction, provided by the present invention. Figure 2 The structural block diagram of the personnel status monitoring module provided by the present invention; Figure 3 This is a flowchart illustrating the safety early warning method for workers performing high-altitude operations in building construction provided by the present invention.

[0052] Example 1

[0053] In the specific implementation process, such as Figure 1 As shown, the safety early warning system for workers performing high-altitude operations in building construction includes: a personnel positioning module, used to obtain the precise location information of workers performing high-altitude operations in the building construction work area in real time;

[0054] The environmental monitoring module is used to monitor environmental parameters in the high-altitude work area of ​​buildings in real time. The environmental parameters include wind speed (obtained by wind speed sensor), air humidity (obtained by humidity sensor), temperature (obtained by temperature sensor), and concentration of harmful gases (obtained by gas sensor).

[0055] The personnel status monitoring module is used to monitor the movement and physiological status information of personnel working at heights.

[0056] The central processing module receives data from the personnel positioning module and the environmental monitoring module, performs real-time risk assessment of high-altitude operations based on a preset multi-factor comprehensive evaluation algorithm, and performs the following operations:

[0057] Based on the location information provided by the personnel positioning module, the environmental parameters provided by the environmental monitoring module, and the action and physiological information provided by the personnel status monitoring module, a quantitative score is calculated. The scores are then weighted and summed based on preset weights. A dynamic correction coefficient is calculated based on the mutual influence between various risk factors. The weighted sum is multiplied by the dynamic correction coefficient to obtain a comprehensive risk score. The risk assessment results are divided into different risk levels based on the comprehensive risk score. Based on the risk assessment results, it is determined whether the working status and environmental conditions of the high-altitude workers are safe, and a corresponding early warning instruction is sent to the early warning release module.

[0058] The early warning distribution module, connected to the central processing module, is used to issue early warning information to high-altitude workers and managers in various ways according to early warning instructions;

[0059] The communication module is used to realize data transmission between the personnel positioning module, environmental monitoring module, central processing module, and early warning release module.

[0060] The data storage management module is used to store the raw data collected by the personnel positioning module and the environmental perception module, as well as the early warning information generated by the central processing module. The data is stored on multiple server nodes through distributed storage to prevent data loss due to the failure of a single node.

[0061] In some embodiments, reference is made to Figure 2 As shown, the personnel status monitoring module includes:

[0062] The physiological parameter monitoring submodule is used to monitor the worker's heart rate, blood pressure, and blood oxygen saturation in real time through a physiological parameter monitoring device worn on the worker's body. The physiological parameter monitoring device adopts a non-invasive or minimally invasive monitoring method to ensure that it does not affect the worker's normal work. The monitored physiological parameters are transmitted to the central processing module. The central processing module determines whether the worker's physical condition is suitable for continuing to work based on the preset physiological parameter safety range. When the physiological parameters exceed the safety range, an early warning signal is sent to the early warning release module.

[0063] The motion monitoring submodule uses accelerometers and gyroscopes to monitor the movements and postures of workers. The motion monitoring submodule transmits the monitoring data to the central processing module. The central processing module analyzes the motion data to determine whether the workers are in a safe state. When abnormal movements are detected, the early warning module is triggered in a timely manner to issue an early warning.

[0064] It should be noted that the quantitative scoring criteria for risk factors are shown in the table below:

[0065] Risk Category Scoring criteria (0-100 points) illustrate Environmental parameters Wind speed: ≤10.8m / s=0; 10.8-15m / s=50; >15m / s=100 Temperature: -10℃~35℃=0; below -10℃ or above 35℃=50; <0℃ or >40℃=100 According to the "Technical Specification for Safety of High-Altitude Operations in Building Construction" (JGJ80-2016), operations are prohibited when the wind speed is >10.8 m / s. Humidity: 40%-70%=0; <40% or >70%=50; <30% or >80%=100 Hazardous gases: ≤Safe threshold=0; Safe threshold <concentration ≤critical value=50; >critical value=100 <![CDATA[Harmful gas thresholds: CO < 30 ppm, CH4 < 1%, etc.]]> Personnel status Physiological parameters: Heart rate: 60-100 bpm = 0; 100-120 bpm = 50; >120 bpm = 100; Blood pressure: <140 / 90 mmHg = 0; 140 / 90-160 / 100 = 50; >160 / 100 = 100; Blood oxygen ≥95% = 0; 90%-95% = 50; <90% = 100 Non-invasive monitoring, does not affect operations Movement and posture: Stable = 0; Slight swaying = 50; Severe imbalance = 100 Attitude stability analysis using accelerometers / gyroscopes Location and Equipment Distance to edge: >1m=0; 0.5m-1m=50; <0.5m=100 Seat belt status: Correct use=0; Incorrect use=100 According to the "Guidelines for Risk Assessment of High-Altitude Operations" Managing risks Work Permit / Supervision Status: Complete = 0; Missing = 100 The system automatically links construction log data.

[0066] The rules for multi-factor weight allocation and dynamic adjustment are shown in the table below:

[0067] Risk Category Weight Dynamic correction rules Environmental risks 30% When the wind speed is >10.8 m / s, the physiological score is multiplied by 1.2 (wind speed increases physiological burden). Physiological risks to personnel 25% When the distance to the edge is less than 0.5m and the seat belt is not in use, the overall risk is multiplied by 1.5 (double risk superposition). Personnel movement risk 20% When the wind speed is greater than 10.8 m / s and the movement is unstable, the overall risk is multiplied by 1.3 (risk of amplified movement due to wind speed). Location and equipment risks 15% none Managing risks 10% none

[0068] In some embodiments, the dynamic correction coefficient is calculated based on the correlation coefficients between risk factors, where the correlation coefficient between wind speed and physiological state is 0.5, the correlation coefficient between edge distance and seat belt status is 0.6, and the correlation coefficient between wind speed and action posture is 0.4. When the wind speed is greater than 10.8 m / s, the physiological score is multiplied by a correction coefficient of 1.2. When the edge distance is less than 0.5 meters and the seat belt is not used correctly, the comprehensive score is multiplied by a correction coefficient of 1.5. When the wind speed is greater than 10.8 m / s and the action posture is unstable, the comprehensive score is multiplied by a correction coefficient of 1.3.

[0069] Example:

[0070] High-risk scenarios (red alert)

[0071] Environmental conditions: wind speed 16.5 m / s (environmental score 100 points), temperature 28℃ (0 points), humidity 45% (0 points), harmful gas concentration exceeds the standard (50 points).

[0072] Personnel status: Heart rate 132 bpm (physiological score 100), blood pressure 165 / 105 mmHg (50), blood oxygen 85% (100), severe imbalance of movement (movement score 100).

[0073] Location information: Distance to the edge is 0.3m (location score 100 points), seat belt not used correctly (100 points).

[0074] Central processing module operation process:

[0075] Quantitative scoring: Environmental risk = 100 × 30% = 30; Physiological risk = 100 × 25% = 25; Action risk = 100 × 20% = 20; Location risk = 100 × 15% = 15; Management risk = 0 × 10% = 0.

[0076] Weighted summation: Basic risk score = 30 + 25 + 20 + 15 + 0 = 90.

[0077] Dynamic correction:

[0078] Wind speed > 10.8 m / s — Physiological score × 1.2 (25 × 1.2 = 30);

[0079] The revised base risk score is 90 × 1.2 = 108.

[0080] If the distance to the edge is less than 0.5m and the seat belt is not used, the overall risk is multiplied by 1.5 (108 × 1.5 = 162).

[0081] Wind speed > 10.8 m / s and unstable movement — Comprehensive risk × 1.3 (162 × 1.3 = 210.6).

[0082] Overall score: 210.6 — cut off at 100 points (risk score cap 100).

[0083] Risk classification: 100 points ∈ [51-100] — high risk.

[0084] Warning instruction: Send a red warning instruction.

[0085] System response:

[0086] For workers working at heights: the safety helmet vibrates at high frequency (maximum intensity), and there are continuous voice prompts such as "Emergency evacuation! Wind speed 16.5 m / s, blood oxygen 85%", and the safety belt indicator light flashes red continuously.

[0087] Management personnel: The APP pushes a real-time notification: "Personnel B, high risk: wind speed 16.5m / s, blood pressure 165 / 105, 0.3m from the edge, seat belt not fastened." The warning display screen pops up a red alert and a heat map showing the personnel's location.

[0088] Data storage: All raw data (including physiological parameters and environmental data) and early warning events are stored in distributed storage for accident retrospective analysis.

[0089] It should be noted that the methods for issuing early warning information include the following:

[0090] For workers working at heights, real-time warnings are provided through vibration devices on smart safety helmets, voice prompt devices, or indicator lights on safety belts. The vibration frequency and intensity of the vibration devices can be adjusted according to the warning level; the voice prompt devices can clearly play warning content and safety reminders; and the indicator lights use different colors (e.g., red for emergency warning and yellow for general warning) to distinguish the warning level.

[0091] For managers, warning information is received via mobile application, computer client, or on-site warning display screen. Mobile application and computer client can push warning details in real time, including worker location, warning type, and environmental parameters; warning display screens are installed in the management office or monitoring center at the construction site to display warning information in a prominent manner.

[0092] Example 2

[0093] In some specific implementation processes, refer to Figure 3 As shown, a safety warning method for workers performing high-altitude operations in building construction includes the following steps:

[0094] Step 1: Receiving Data: The central processing module receives location information from the personnel positioning module, environmental parameters from the environmental monitoring module, and personnel status information from the personnel status monitoring module in real time.

[0095] Step 2, Quantitative Scoring: Quantitatively score the location information, environmental parameters, and personnel status information;

[0096] Step 3: Weighted Summation: Perform a weighted summation of each score based on preset weights;

[0097] Step 4: Dynamic Adjustment: Calculate the dynamic adjustment coefficient based on the interrelationships between various risk factors;

[0098] Step 5: Generate a comprehensive score: Multiply the weighted summation result by the dynamic correction coefficient to obtain the comprehensive risk score;

[0099] Step Six: Risk Classification: Based on the comprehensive risk score, the risk assessment results are classified into low risk, medium risk, and high risk.

[0100] Step 7: Sending Early Warning Commands: Based on the risk assessment results, send corresponding early warning commands to the early warning distribution module. No early warning command is sent for low-risk areas, a yellow early warning command is sent for medium-risk areas, and a red early warning command is sent for high-risk areas.

[0101] It should be noted that outlier data is filtered before calculating the weighted sum to ensure the accuracy of the scoring.

[0102] According to embodiments of the present invention, a computing device that can be used to implement the above method includes a processor and a memory;

[0103] The processor can be a multi-core processor or include multiple processors. In some embodiments, the processor may include a general-purpose main processor and one or more special coprocessors, such as a graphics processing unit (GPU), a digital signal processor (DSP), etc. In some embodiments, the processor may be implemented using custom circuitry, such as an application-specific integrated circuit (ASIC) or a field-programmable gate array (FPGA).

[0104] Memory can include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. ROM can store static data or instructions required by the processor or other modules of the computer. Permanent storage devices can be read-write storage devices. Permanent storage devices can be non-volatile storage devices that retain stored instructions and data even when the computer is powered off. In some embodiments, permanent storage devices use mass storage devices (e.g., magnetic or optical disks, flash memory) as permanent storage devices. In other embodiments, permanent storage devices can be removable storage devices (e.g., floppy disks, optical drives). System memory can be a read-write storage device or a volatile read-write storage device, such as dynamic random access memory. System memory can store some or all of the instructions and data required by the processor during operation. Furthermore, memory can include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks can also be used. In some implementations, the memory may include removable storage devices that are readable and / or writable, such as laser discs (CDs), read-only digital versatile optical discs (e.g., DVD-ROMs, dual-layer DVD-ROMs), read-only Blu-ray discs, ultra-high density optical discs, flash memory cards (e.g., SD cards, mini SD cards, Micro-SD cards, etc.), magnetic floppy disks, etc. Computer-readable storage media do not include carrier waves and transient electronic signals transmitted wirelessly or via wired connections.

[0105] It should be understood that, unless otherwise expressly stated herein, there is no strict order restriction on the execution of the above steps, and these steps may be executed in other orders. Moreover, at least some steps in the processes involved in the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but may be executed at different times. The execution order of these steps or stages is not necessarily sequential, but may be performed alternately or in turn with other steps or at least some of the steps or stages in other steps.

[0106] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or basic characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects. The scope of the invention is defined by the appended claims rather than the foregoing description. Therefore, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention, and no reference numerals in the claims should be construed as limiting the scope of the claims.

[0107] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment includes only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A safety early warning system for workers performing high-altitude operations in building construction, characterized in that: include: The personnel positioning module is used to obtain the precise location information of high-altitude workers within the building construction work area in real time. The environmental monitoring module is used to monitor environmental parameters in high-altitude work areas of buildings in real time. The personnel status monitoring module is used to monitor the movement and physiological status information of personnel working at heights. The central processing module receives data transmitted from the personnel positioning module and the environmental monitoring module, and performs real-time risk assessment of high-altitude operations based on a preset multi-factor comprehensive evaluation algorithm. The central processing module performs the following operations: Based on the location information provided by the personnel positioning module, the environmental parameters provided by the environmental monitoring module, and the action and physiological information provided by the personnel status monitoring module, a quantitative score is calculated. The scores are then weighted and summed based on preset weights. A dynamic correction coefficient is calculated based on the mutual influence relationship between various risk factors. The weighted summation result is multiplied by the dynamic correction coefficient to obtain a comprehensive risk score. The risk assessment results are divided into different risk levels based on the comprehensive risk score. Based on the risk assessment results, it is determined whether the working status and environmental conditions of the high-altitude workers are safe, and a corresponding early warning instruction is sent to the early warning release module. The early warning distribution module, connected to the central processing module, is used to issue early warning information to high-altitude workers and managers in various ways according to the early warning instructions. The communication module is used to enable data transmission between the personnel positioning module, environmental monitoring module, central processing module, and early warning release module.

2. The safety early warning system for high-altitude workers in building construction according to claim 1, characterized in that, It also includes a data storage management module, which stores the raw data collected by the personnel positioning module and the environmental perception module, as well as the early warning information generated by the central processing module. The data is stored on multiple server nodes through distributed storage to prevent data loss due to the failure of a single node.

3. The safety early warning system for personnel working at heights in building construction according to claim 1, characterized in that, The personnel status monitoring module includes: The physiological parameter monitoring submodule is used to monitor the worker's heart rate, blood pressure, and blood oxygen saturation in real time through a physiological parameter monitoring device worn on the worker's body. The physiological parameter monitoring device adopts a non-invasive or minimally invasive monitoring method to ensure that it does not affect the worker's normal work. The monitored physiological parameters are transmitted to the central processing module. The central processing module determines whether the worker's physical condition is suitable for continuing to work based on the preset physiological parameter safety range. When the physiological parameters exceed the safety range, an early warning signal is sent to the early warning release module. The motion monitoring submodule uses accelerometers and gyroscopes to monitor the movements and postures of workers. The motion monitoring submodule transmits the monitoring data to the central processing module. The central processing module analyzes the motion data to determine whether the workers are in a safe state. When abnormal movements are detected, the early warning module is triggered in a timely manner to issue an early warning.

4. The safety early warning system for high-altitude workers in building construction according to claim 1, characterized in that, The environmental parameters include wind speed, air humidity, temperature, and concentration of harmful gases in the work area.

5. The safety early warning system for personnel working at heights in building construction according to claim 1, characterized in that, The location information is scored based on the following preset criteria: Edge distance scoring: 0 points for edge distance less than 1 meter, 5 points for edge distance greater than or equal to 0.5 meters and less than or equal to 1 meter, and 10 points for edge distance greater than 0.5 meters; Seatbelt condition rating: 0 points for correct use, 10 points for incorrect use; The environmental parameters are scored based on the following preset criteria: Wind speed rating: 0 points for wind speed less than or equal to 10.8 m / s, 5 points for wind speed greater than 10.8 m / s and less than or equal to 15 m / s, and 10 points for wind speed greater than 15 m / s; Temperature rating: -10℃ to 35℃ is 0 points, below -10℃ or above 35℃ is 5 points, below 0℃ or above 40℃ is 10 points; Humidity rating: 0 points for 40%-70%, 5 points for less than 40% or greater than 70%, and 10 points for less than 30% or greater than 80%. Hazardous gas concentration rating: 0 points for concentration less than or equal to the safety threshold, 5 points for concentration greater than the safety threshold but less than or equal to the critical value, and 10 points for concentration greater than the critical value; The scoring of the status information is based on the following preset criteria: Heart rate score: 60-100 bpm is 0 points, 100-120 bpm is 5 points, and greater than 120 bpm is 10 points; Blood pressure score: less than 140 / 90 mmHg is 0 points, 140 / 90-160 / 100 is 5 points, and greater than 160 / 100 is 10 points; Blood oxygen saturation: ≥95% is 0 points, 90%-95% is 5 points, and <90% is 10 points; Movement and posture rating: Stable posture is 0 points, slight swaying is 5 points, and severe imbalance is 10 points.

6. The safety early warning system for personnel working at heights in building construction according to claim 1, characterized in that, The preset weights include an environmental risk weight of 30%, a personnel physiological risk weight of 25%, a personnel movement risk weight of 20%, a location and equipment risk weight of 15%, and a management risk weight of 10%.

7. The safety early warning system for personnel working at heights in building construction according to claim 1, characterized in that, The dynamic correction coefficient is calculated based on the correlation coefficients between risk factors. The correlation coefficient between wind speed and physiological state is 0.5, the correlation coefficient between edge distance and seat belt status is 0.6, and the correlation coefficient between wind speed and action posture is 0.

4. When the wind speed is greater than 10.8 m / s, the physiological score is multiplied by a correction coefficient of 1.

2. When the edge distance is less than 0.5 meters and the seat belt is not used correctly, the comprehensive score is multiplied by a correction coefficient of 1.

5. When the wind speed is greater than 10.8 m / s and the action posture is unstable, the comprehensive score is multiplied by a correction coefficient of 1.

3.

8. A safety early warning method for workers performing high-altitude operations in building construction, applicable to the safety early warning system for workers performing high-altitude operations in building construction as described in any one of claims 1-7, characterized in that, The method includes the following steps: Step 1: Receiving Data: The central processing module receives location information from the personnel positioning module, environmental parameters from the environmental monitoring module, and personnel status information from the personnel status monitoring module in real time. Step 2: Quantitative scoring: Quantitatively score the location information, environmental parameters, and personnel status information; Step 3: Weighted Summation: Perform a weighted summation of each score based on preset weights; Step 4: Dynamic Adjustment: Calculate the dynamic adjustment coefficient based on the interrelationships between various risk factors; Step 5: Generate a comprehensive score: Multiply the weighted summation result by the dynamic correction coefficient to obtain the comprehensive risk score; Step Six: Risk Classification: Based on the comprehensive risk score, the risk assessment results are classified into low risk, medium risk, and high risk. Step 7: Sending early warning instructions: Based on the risk assessment results, send corresponding early warning instructions to the early warning distribution module. No early warning instructions are sent for low-risk areas, yellow early warning instructions are sent for medium-risk areas, and red early warning instructions are sent for high-risk areas.

9. The safety early warning method for personnel working at heights in building construction according to claim 8, characterized in that, Before calculating the weighted sum, the central processing module filters out abnormal data to ensure the accuracy of the scoring.

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