Building construction safety environment monitoring analysis method and system

Abstract

The invention discloses a building construction safety environment monitoring analysis method and system, and relates to the field of data analysis, the main scheme is that a safety risk index G is calculated according to a field risk comprehensive coefficient GA, an equipment and progress comprehensive coefficient GB and an emergency and material comprehensive coefficient GC, one-sidedness caused by single factor evaluation is avoided, and the safety risk index G is calculated; the method is advantaged in that potential risk association and chain reaction can be discovered, a coping strategy can be made in advance, the construction safety management level is improved on the whole, and a problem of low safety risk assessment result accuracy caused by lack of detection and analysis of other important parameters and lack of integration of data from different sources is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a method and system for monitoring and analyzing a construction safety environment. Background Art

[0002] In the field of construction, safety and environmental monitoring and analysis methods play a vital role. This method not only helps to protect the lives of construction workers and prevent safety accidents, but also improves construction efficiency and reduces environmental impact.

[0003] The working principle of the traditional safety environment monitoring and analysis method and system is: install sensors in the construction area and collect data, analyze and process the collected sensor data to evaluate the safety risks in the construction area, and guide construction management and adjust the construction plan based on the risk results.

[0004] Existing technologies still have the following shortcomings: Many monitoring systems rely on only a few sensors to collect data, such as temperature sensors, humidity sensors, etc., and lack the detection and analysis of other important parameters. At the same time, data from different sources are not integrated, resulting in information islands, which reduces the accuracy of security risk assessment results. Summary of the invention

[0005] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides a method and system for monitoring and analyzing the safety environment of construction, which calculates the safety risk index G according to the comprehensive risk coefficient GA of the site, the comprehensive coefficient of equipment and progress GB, and the comprehensive coefficient of emergency and materials GC, and further judges the safety level of the construction area according to the safety risk index G and the safety risk threshold set, thereby solving the problem of lack of detection and analysis of other important parameters and failure to integrate data from different sources, thereby reducing the accuracy of safety risk assessment results.

[0006] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: A construction safety environment monitoring and analysis method comprises the following steps: Collect material pile data, environmental data, employee data, equipment operation data, construction plan data, safety data, construction area data, material data and reference standard data; Calculate the material pile safety index AC based on the material pile data; calculate the personnel exposure risk index BH based on the environmental data and employee data; calculate the environmental factor index CL based on the environmental data and equipment operation data; calculate the environmental factor index CL based on the employee data, environmental factor index CL and equipment operation time CK hCalculate the equipment failure risk index CM; calculate the construction progress and safety balance index DK based on the construction plan data, employee data and equipment operation data; calculate the emergency resource coverage index EG based on the safety data and construction area data, calculate the emergency personnel index EI based on the material data, safety data and employee data, and calculate the emergency index EK based on the emergency resource coverage index EG and the emergency personnel index EI; calculate the material safety index FG based on the material data; Calculate the comprehensive on-site risk coefficient GA based on the material pile safety index AC, the personnel exposure hazard index BH, the construction area data and the reference standard data; calculate the equipment and progress comprehensive coefficient GB based on the equipment failure risk index CM, the construction progress and safety balance index DK, the reference standard data and the equipment operation data; calculate the emergency and material comprehensive coefficient GC based on the emergency index EK, the material safety index FG, the reference standard data, the safety data and the material data; calculate the safety risk index G based on the comprehensive on-site risk coefficient GA, the equipment and progress comprehensive coefficient GB and the emergency and material comprehensive coefficient GC; preset a set of safety risk thresholds; determine the safety level of the construction area based on the safety risk index G and the safety risk threshold set; adjust the construction plan based on the safety level of the construction area.

[0007] In the preferred embodiment of the above construction safety environment monitoring and analysis method, the method for calculating the material pile safety index AC is: Material pile data includes material pile pressure value A a , average material pile pressure B, material pile height C a , Maximum allowable stacking height of material pile C max and the angle D between the material pile and the ground a ; The material pile safety index AC is calculated based on the material pile data, and the formula is: Among them, A a is the pressure value of the a-th material pile on the ground, a is the serial number corresponding to different material piles, and its value is [1, b]; b is the total number of material piles in the construction area, and its value is a positive integer; C a is the stacking height value of the a-th material pile; D a is the angle between the a-th material pile and the ground; is the weight coefficient of the uniformity of the material pile weight distribution, and its value is 0.4~0.6; is the weight coefficient of the material pile height safety factor, ranging from 0.4 to 0.6; and .

[0008] In the preferred embodiment of the above construction safety environment monitoring and analysis method, the method for calculating the personnel exposure risk index BH is: Environmental data including harmful gas concentration BA d , Allowable concentration of harmful gases BB d , dust concentration BD and dust allowable concentration BE; Employee data include employee stay time BF; The personnel exposure risk index BH is calculated based on environmental data and employee data, based on the following formula: Among them, BA d is the concentration of the dth harmful gas, d is the serial number corresponding to different harmful gases, and its value is [1, e]; e is the total number of categories of different harmful gases, and its value is a positive integer.

[0009] In the preferred embodiment of the above construction safety environment monitoring and analysis method, the method for calculating the environmental factor index CL is: Environmental data also include construction area temperature CE, humidity CF and wind speed CG; Equipment operation data includes the normal operating temperature CH h , Equipment normal operation humidity CI h and the normal operating wind speed CJ of the equipment h ; The environmental factor index CL is calculated based on environmental data and equipment operation data, and the formula is: Among them, CH h is the normal operating temperature of the hth device; h is the serial number corresponding to different devices, and its value is [1, i]; i is the total number of devices in the construction area, and its value is a positive integer; CI h is the normal operating humidity of the hth device; CJ h is the normal operating wind speed of the hth device.

[0010] In the preferred embodiment of the above construction safety environment monitoring and analysis method, the method for calculating the equipment failure risk index CM is: Employee data also includes the number of equipment operation errors. f And the total number of equipment operations CB f ; Equipment operation data also includes equipment operation time CK h ; Based on employee data, environmental factor index CL and equipment operation time CK h The calculation formula for the equipment failure risk index CM is: Among them, CK h is the operating time of the hth device; CAf is the number of errors made by the fth employee when operating the equipment, f is the serial number corresponding to different employees, and its value is [1, g]; g is the total number of employees; CB f The total number of equipment operations performed by the fth employee.

[0011] In the preferred embodiment of the above construction safety environment monitoring and analysis method, the method for calculating the construction progress and safety balance index DK is: The construction plan data includes the number of completed construction tasks DA, the number of planned completed construction tasks DB and the total number of construction tasks DC; Employee data also includes the actual working hours of employees DF f , normal working hours DG and maximum permissible overtime hours DH; Equipment operation data also includes equipment service life CP h and load factor CN h ; The construction progress and safety balance index DK is calculated based on the construction plan data, employee data and equipment operation data, and the formula is: Among them, DF f is the actual working hours of the fth employee.

[0012] In the preferred embodiment of the above construction safety environment monitoring and analysis method, the method for calculating the emergency index EK is: Safety data include the number of hidden danger projects that have been rectified EA, the total number of hidden danger projects EB, the number of emergency equipment EC and the number of people that can be accommodated in the shelter ED; The construction area data include the total construction area EH; The emergency resource coverage index EG is calculated based on the number of hidden danger projects that have been rectified EA, the total number of hidden danger projects EB, the number of emergency equipment EC and the construction area data. The formula is: The employee data also includes employee emergency training skills score EF; Material data includes protective material inventory quantity FA and protective material safety stock quantity FB; The emergency personnel index EI is calculated based on material data, the number of people that can be accommodated in the shelter ED and the employee emergency training skill score EF. The formula is: The emergency index EK is calculated based on the emergency resource coverage index EG and the emergency personnel index EI, and the formula is: in, is the weight coefficient of the emergency resource coverage index EG, ranging from 0.3 to 0.7; is the weight coefficient of the emergency personnel index EI, ranging from 0.3 to 0.7; and .

[0013] In the preferred embodiment of the above construction safety environment monitoring and analysis method, the method for calculating the material safety index FG is: Material data also includes material inventory time FC, material shelf life FD, average inventory balance FE and material usage FF; The material safety index FG is calculated based on the material inventory time FC, material shelf life FD, average inventory balance FE and material usage FF. The formula is: .

[0014] In the preferred embodiment of the above-mentioned construction safety environment monitoring and analysis method, the method for judging the safety level of the construction area is: The reference standard data include the maximum value of material pile safety index YAC, the maximum value of personnel exposure risk index YBH, the maximum value of equipment failure risk index YCM, the maximum value of construction progress and safety balance index YDK, the maximum value of emergency index YEK and the maximum value of material safety index YFG; The construction area data includes the total area XA without safety hazards; The comprehensive risk coefficient GA of the site is calculated based on the material pile safety index AC, the personnel exposure risk index BH, the construction area data, the maximum value of the material pile safety index YAC and the maximum value of the personnel exposure risk index YBH. The formula is: Equipment operation data also includes equipment update rate XB; The equipment and progress comprehensive coefficient GB is calculated based on the equipment failure risk index CM, the construction progress and safety balance index DK, the maximum value of the equipment failure risk index YCM, the maximum value of the construction progress and safety balance index YDK and the equipment update rate XB. The formula is: Safety data also includes emergency response time standard achievement rate XC; Material data also includes material supply stability score XD; The emergency and material comprehensive coefficient GC is calculated based on the emergency index EK, material safety index FG, emergency index maximum value YEK, material safety index maximum value YFG, emergency response time standard achievement rate XC and material supply stability score XD. The formula is: The safety risk index G is calculated based on the comprehensive coefficient of site risk GA, the comprehensive coefficient of equipment and progress GB, and the comprehensive coefficient of emergency and materials GC. The formula is: in, is the weight coefficient of the comprehensive risk coefficient GA of the site, and its value ranges from 0.3 to 0.5; is the weight coefficient of the equipment and schedule comprehensive coefficient GB, with a value of 0.2 to 0.5; is the weight coefficient of the emergency and material comprehensive coefficient GC, with a value of 0.2 to 0.5; and .

[0015] The security risk threshold set includes a high risk threshold GG and a low risk threshold GD; The safety level of the construction area is determined based on the safety risk index G and the safety risk threshold set. The standards are: .

[0016] The present invention also discloses a construction safety environment monitoring and analysis system, comprising: Data collection module, which can collect material pile data, environmental data, employee data, equipment operation data, construction plan data, safety data, construction area data, material data and reference standard data; The indicator calculation module can calculate the material pile safety indicator AC based on the material pile data; calculate the personnel exposure risk indicator BH based on the environmental data and employee data; calculate the environmental factor indicator CL based on the environmental data and equipment operation data; and calculate the environmental factor indicator CL based on the employee data, environmental factor indicator CL and equipment operation time CK. h Calculate the equipment failure risk index CM; calculate the construction progress and safety balance index DK based on the construction plan data, employee data and equipment operation data; calculate the emergency resource coverage index EG based on the safety data and construction area data, calculate the emergency personnel index EI based on the material data, safety data and employee data, and calculate the emergency index EK based on the emergency resource coverage index EG and the emergency personnel index EI; calculate the material safety index FG based on the material data; The level judgment module can calculate the comprehensive risk coefficient GA of the site according to the material pile safety index AC, the personnel exposure hazard index BH, the construction area data and the reference standard data; calculate the comprehensive coefficient of equipment and progress GB according to the equipment failure risk index CM, the construction progress and safety balance index DK, the reference standard data and the equipment operation data; calculate the comprehensive coefficient of emergency and materials GC according to the emergency index EK, the material safety index FG, the reference standard data, the safety data and the material data; calculate the safety risk index G according to the comprehensive risk coefficient GA of the site, the comprehensive coefficient of equipment and progress GB and the comprehensive coefficient of emergency and materials GC; preset a set of safety risk thresholds; judge the safety level of the construction area according to the safety risk index G and the safety risk threshold set; and adjust the construction plan according to the safety level of the construction area.

[0017] (III) Beneficial effects The present invention provides a construction safety environment monitoring and analysis method and system, which has the following beneficial effects: (1) By collecting material pile data, environmental data, employee data, equipment operation data, construction plan data, safety data, construction area data, material data and reference standard data, it is helpful to measure the safety level of the construction area from multiple dimensions and provide effective data for subsequent calculations.

[0018] (2) Calculating the material pile safety index AC based on the material pile data is conducive to identifying potential safety hazards such as collapse and sliding of the material pile. Calculating the personnel exposure hazard index BH based on the environmental data and employee data can prevent employees from working in high-risk areas for a long time and help to reasonably arrange shifts or rest time. Calculating the equipment failure risk index CM based on the environmental data, equipment operation data and employee data can comprehensively consider various factors affecting equipment failure and predict the probability and time node of possible equipment failure in advance. Calculating the construction progress and safety balance index DK based on the construction plan data, employee data and equipment operation data can provide a quantitative decision-making basis for construction project managers to avoid blindly pursuing progress while ignoring safety. Calculating the emergency index EK based on the construction area data, material data, safety data and employee data can more comprehensively reflect the emergency management level and ability to respond to emergencies at the construction site. Calculating the material safety index FG based on material data is conducive to accurately evaluating the safety and quality reliability of construction materials.

[0019] (3) The safety risk index G is calculated based on the comprehensive site risk coefficient GA, the comprehensive equipment and progress coefficient GB, and the comprehensive emergency and material coefficient GC. This avoids the one-sidedness caused by a single factor assessment, helps to discover potential risk associations and chain reactions, formulate response strategies in advance, and improve the overall level of construction safety management. It also solves the problem of lack of detection and analysis of other important parameters and failure to integrate data from different sources, which leads to reduced accuracy of safety risk assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 A schematic diagram of the working steps of a construction safety environment monitoring and analysis method of the present invention; Figure 2 A schematic diagram of the steps of calculating the emergency index EK in a construction safety environment monitoring and analysis method of the present invention; Figure 3 The present invention is a structural schematic diagram of a construction safety environment monitoring and analysis system. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] See also Figure 1-2 The present invention provides a construction safety environment monitoring and analysis method, comprising the following steps: Step 1: Collect material stockpile data, environmental data, employee data, equipment operation data, construction plan data, safety data, construction area data, material data and reference standard data.

[0023] By collecting material pile data, environmental data, employee data, equipment operation data, construction plan data, safety data, construction area data, material data and reference standard data, it is helpful to measure the safety level of the construction area from multiple dimensions and provide effective data for subsequent calculations.

[0024] Step 2: Calculate the material pile safety index AC based on the material pile data; calculate the personnel exposure risk index BH based on the environmental data and employee data; calculate the environmental factor index CL based on the environmental data and equipment operation data; calculate the environmental factor index CL based on the employee data, environmental factor index CL and equipment operation time CK hCalculate the equipment failure risk index CM; calculate the construction progress and safety balance index DK based on the construction plan data, employee data and equipment operation data; calculate the emergency resource coverage index EG based on the safety data and construction area data, calculate the emergency personnel index EI based on the material data, safety data and employee data, and calculate the emergency index EK based on the emergency resource coverage index EG and the emergency personnel index EI; calculate the material safety index FG based on the material data.

[0025] Step 2 includes the following steps: Step 201: The method for calculating the material pile safety index AC is: Material pile data includes material pile pressure value A a , average material pile pressure B, material pile height C a , Maximum allowable stacking height of material pile C max and the angle D between the material pile and the ground a .

[0026] It should be noted that the material pile pressure value A a It refers to the pressure exerted by the material pile on its bottom support surface in the vertical direction, reflecting the actual force on the bottom of the material pile. It is measured by placing a pressure sensor at the bottom of the material pile. The average material pile pressure value B is a comprehensive statistical indicator of the bottom pressure of multiple material piles in the construction area. It reflects the average strength of the pressure exerted by these material piles as a whole on their support surface. It is obtained by collecting and calculating the sum of the material pile pressure values ​​in the construction area and dividing it by the number of material piles. Material pile height value C a It refers to the distance from the bottom to the top of the material pile in the vertical direction, measured using laser distance meter, steel ruler and other tools. The maximum allowable stacking height of the material pile is C max It refers to the maximum vertical height that the material pile can reach in a safe and stable state, which is determined by referring to the building safety standard manual. a It refers to the angle between the material pile slope and the ground, which is measured using an angle measuring instrument at the intersection of the material pile slope and the ground.

[0027] The material pile safety index AC is calculated based on the material pile data, and the formula is: Among them, A a is the pressure value of the a-th material pile on the ground, a is the serial number corresponding to different material piles, and its value is [1, b]; b is the total number of material piles in the construction area, and its value is a positive integer; C a is the stacking height value of the a-th material pile; D a is the angle between the a-th material pile and the ground; is the weight coefficient of the uniformity of the material pile weight distribution, which is between 0.4 and 0.6. It is determined according to the influence of the uniformity of the material pile weight distribution on the material pile safety index AC. is the weight coefficient of the material pile height safety factor, which is between 0.4 and 0.6 and is determined according to the influence of the material pile height safety factor on the material pile safety index AC. .

[0028] It should be noted that the operating principle of this formula is: It is used to measure the uniformity of the pressure distribution of the material pile. The more uniform the distribution, the lower the AC safety index of the material pile, and the lower the safety risk. It is used to evaluate the safety factor of material stacking height. When the material is stacked at a certain tilt angle, the stability of the material will be affected, and the actual effective safe stacking height will be reduced. The higher the stacking height and the greater the tilt angle, the higher the material stacking safety index AC and the higher the safety risk.

[0029] Step 202: The method for calculating the personnel exposure risk index BH is: Environmental data including harmful gas concentration BA d , Allowable concentration of harmful gases BB d , dust concentration BD and dust allowable concentration BE.

[0030] It should be noted that the concentration of harmful gases BA d Refers to the amount of harmful gases such as carbon monoxide, sulfur dioxide and formaldehyde contained in a unit volume of air, which is measured by a gas sensor. d It refers to the maximum limit of harmful gas concentration specified in relevant national laws, standards and occupational health requirements, and is determined by consulting the "Occupational Exposure Limits for Harmful Factors in the Workplace". Dust concentration BD refers to the amount of dust contained in a unit volume of air. A certain volume of dust-laden air is collected to allow the dust to settle on a filter membrane of known mass, and then the mass difference between the filter membrane before and after sampling is weighed. The ratio of the mass difference to the sampling volume is calculated as the dust concentration BD. The allowable dust concentration BE refers to the maximum dust concentration allowed in accordance with relevant national regulations and standards. The "General Specifications for Safety, Hygiene and Occupational Health at Construction and Municipal Construction Sites" stipulates that the dust concentration at a construction site should generally not exceed 10 mg / m³, so the allowable dust concentration BE here is 10 mg / m³.

[0031] Employee data includes employee stay time BF.

[0032] It should be noted that employee stay time BF refers to the length of time an employee stays in the construction area. The time when an employee enters and leaves the construction area is obtained through the clock-in system. The stay time of each employee is obtained by calculating the difference between the two. The sum of the stay times of all employees is calculated as the employee stay time BF.

[0033] The personnel exposure risk index BH is calculated based on environmental data and employee data, based on the following formula: Among them, BA d is the concentration of the dth harmful gas, d is the serial number corresponding to different harmful gases, and its value is [1, e]; e is the total number of categories of different harmful gases, and its value is a positive integer.

[0034] It should be noted that this formula obtains the personnel exposure hazard index BH by comprehensively considering the impact of the concentration of harmful gases and dust concentration on employees in the construction area. The higher the concentration of harmful gases and dust concentration, the longer the employees stay, the higher the personnel exposure hazard index BH, and the higher the safety risk.

[0035] Step 203: The method for calculating the environmental factor index CL is: Environmental data also include construction area temperature CE, humidity CF and wind speed CG, which are measured and obtained using an infrared thermometer, a digital humidity sensor and a three-cup wind speed sensor respectively.

[0036] Equipment operation data includes the normal operating temperature CH h , Equipment normal operation humidity CI h and the normal operating wind speed CJ of the equipment h .

[0037] It should be noted that the normal operating temperature of the equipment is CH h It refers to the temperature range that the equipment should maintain when it is running stably according to the design requirements and specified working conditions. The normal operating temperature of the equipment is CH h It is calculated by (temperature range upper limit + temperature range lower limit) / 2. The temperature range can be obtained by querying the equipment manual. Equipment normal operation humidity CI h It refers to the humidity range that the equipment should maintain when it is operating stably according to the design requirements and specified working conditions. The normal operating humidity CI of the equipment h It is calculated by (humidity range upper limit + humidity range lower limit) / 2. The humidity range can be obtained by consulting the equipment manual. Normal operation wind speed CJ h Refers to the air flow speed range of the surrounding environment when the equipment is in normal working condition. hIt is calculated by (upper limit of air flow velocity + lower limit of air flow velocity) / 2. The air flow velocity range can be obtained by querying the user manual of the equipment.

[0038] The environmental factor index CL is calculated based on environmental data and equipment operation data, and the formula is: Among them, CH h is the normal operating temperature of the hth device; h is the serial number corresponding to different devices, and its value is [1, i]; i is the total number of devices in the construction area, and its value is a positive integer; CI h is the normal operating humidity of the hth device; CJ h is the normal operating wind speed of the hth device.

[0039] It should be noted that this formula calculates the relative ratio of the actual operation data of the equipment to the normal operation data of the equipment to obtain the environmental factor index CL. The larger the relative ratio, the higher the environmental factor index CL and the higher the safety risk.

[0040] Step 204: The method for calculating the equipment failure risk index CM is: Employee data also includes the number of equipment operation errors. f And the total number of equipment operations CB f .

[0041] It should be noted that the number of equipment operation errors CA f It refers to the cumulative number of operating behaviors that do not comply with standard operating procedures during the operation of equipment by employees, resulting in abnormal equipment operation, reduced product quality, increased safety risks and other negative consequences. When an operating error occurs, the equipment will automatically record the error information and transmit this information to the central management system. By viewing the recorded information of the central management system and identifying the employee operating the equipment based on the work log, the number of equipment operation errors CA is obtained. f . Total number of equipment operations CB f Refers to the cumulative number of times an employee operates the equipment. The equipment operation counter can record the number of times the equipment is operated. By checking the employee's working time record and counting the equipment operation counters for the corresponding time period, the total number of equipment operations CB can be obtained. f .

[0042] Equipment operation data also includes equipment operation time CK h .

[0043] It should be noted that the equipment running time CK hIt refers to the sum of the duration of all operating stages of the equipment since it was put into use. It is a key indicator for evaluating the degree of use, aging and maintenance needs of the equipment. The timer in the equipment can accurately record the time of each operation of the equipment. When the equipment is started, the timer starts counting, and when the equipment stops running, the timer stops counting. The running time is obtained by calculating the difference between the stop time and the start time. The time of each operation is accumulated to obtain the equipment running time CK h .

[0044] Based on employee data, environmental factor index CL and equipment operation time CK h The calculation formula for the equipment failure risk index CM is: Among them, CK h is the operating time of the hth device; CA f is the number of errors made by the fth employee when operating the equipment, f is the serial number corresponding to different employees, and its value is [1, g]; g is the total number of employees; CB f The total number of equipment operations performed by the fth employee.

[0045] It should be noted that this formula comprehensively considers the proportion of employee operating equipment errors, environmental factors and equipment operation time to obtain the equipment failure risk index CM. The higher the proportion of employee operating equipment errors, the higher the environmental factor index CL, and the equipment operation time CK. h The longer it is, the higher the probability of equipment failure, the higher the equipment failure risk index CM, and the higher the safety risk.

[0046] Step 205: The method for calculating the construction progress and safety balance index DK is: The construction plan data includes the number of completed construction tasks DA, the number of planned completed construction tasks DB and the total number of construction tasks DC.

[0047] It should be noted that the number of completed construction tasks DA refers to the specific number of construction tasks that have been successfully completed as required up to the current time point. On-site construction personnel will record the main construction tasks and their numbers completed every day in the construction log. By summarizing and counting these records and reports, the number of completed construction tasks DA is obtained. The planned number of completed construction tasks DB refers to the expected number of construction tasks that should be completed at the current time point according to the construction project schedule, which is determined by querying the construction schedule file. The total number of construction tasks DC refers to the total amount of all construction tasks that need to be completed from the beginning to the end of the entire construction project, which is determined by querying the bill of quantities. Among them, the bill of quantities is a file that summarizes the quantities in the construction drawings according to certain classifications and units. It directly provides specific data on the total number of construction tasks.

[0048] Employee data also includes the actual working hours of employees DF f , normal working hours DG and maximum permitted overtime hours DH.

[0049] It should be noted that the actual working hours of employees DF f It refers to the total time that employees actually spend on their work tasks. The clock-in system will record employees' working hours and off-get off work hours. By calculating the difference between the two time points, we can get the actual working hours of the employees on that day. The actual working hours of employees every day are accumulated as the actual working hours of employees DF. f Normal working hours DG refers to the normal working hours of employees agreed upon in accordance with national laws and regulations, enterprise rules and regulations or labor contracts. The normal working hours of employees per day are determined according to the labor contract, and then multiplied by the actual number of working days to obtain the normal working hours DG. The maximum allowable overtime hours DH refers to the maximum time limit that employees can work extra hours within the scope of laws, regulations and enterprise regulations. The maximum allowable overtime hours per day of employees are determined according to the labor contract, and then multiplied by the actual number of working days to obtain the maximum allowable overtime hours DH.

[0050] Equipment operation data also includes equipment service life CP h and load factor CN h .

[0051] It should be noted that the equipment service life CP h It refers to the time from when the equipment is put into use to when its technical performance declines to the point where it cannot meet production requirements or is no longer economically reasonable and is scrapped. It can be obtained by consulting the equipment manual. h It refers to the ratio of the actual load borne by the equipment during operation to the rated load of the equipment. It is an important indicator to measure the utilization and operating efficiency of the equipment. For power equipment such as motors and engines, the actual power is measured by a power meter, and then the ratio of the actual power to the rated power marked on the equipment nameplate is calculated as the load factor. h For conveying equipment such as conveyor belts, the ratio of the actual flow rate to the rated flow rate is calculated as the load rate CN h .

[0052] The construction progress and safety balance index DK is calculated based on the construction plan data, employee data and equipment operation data, and the formula is: Among them, DF f is the actual working hours of the fth employee.

[0053] It should be noted that the operating principle of this formula is: It is used to measure the deviation of construction progress. The greater the deviation between the number of completed construction tasks DA and the number of planned construction tasks DB, the higher the construction progress and safety balance index DK, and the higher the safety risk. It is used to measure the fatigue coefficient of employees. The longer the actual working time, the more likely it is that employees will become fatigued. The higher the construction progress and safety balance index DK, the higher the safety risk. It is used to measure the relationship between the load condition and service life of the equipment. The higher the load when the equipment is running, the higher the risk of equipment failure. The higher the construction progress and safety balance index DK, the higher the safety risk.

[0054] Step 206: The method for calculating the emergency index EK is: Safety data include the number of hidden danger projects that have been rectified EA, the total number of hidden danger projects EB, the number of emergency equipment EC and the number of people that can be accommodated in shelters ED.

[0055] It should be noted that the number of projects with hidden dangers that have been rectified EA refers to the number of projects in the construction area that have taken effective measures and completed rectification after inspection and found to have safety hazards. The method of obtaining it is: arrange safety management personnel to conduct on-site re-inspections of projects with hidden dangers that were previously found. During the re-inspection process, verify one by one whether each hidden danger project has indeed been rectified, and count the number of hidden danger projects that have been rectified as the number of hidden danger projects that have been rectified EA. The total number of hidden danger projects EB refers to the total number of all projects with safety hazards found through safety inspections in the construction area. The method of obtaining it is: regularly organize professional safety inspection teams to conduct comprehensive safety inspections of the area. Inspectors will check each aspect of the equipment, facilities, operating procedures and environment in the area one by one in accordance with relevant safety standards and specifications, and record and summarize all safety hazard projects found, so as to obtain the total number of hidden danger projects EB. The number of emergency equipment EC refers to the total number of various equipment equipped in the construction area for responding to sudden emergencies such as fire, earthquake or leakage accidents. These emergency equipment include fire extinguishers, fire hydrants, emergency lighting fixtures, first aid kits, respirators, leakage handling tools, etc. The method of obtaining is: arrange personnel to conduct on-site inventory of emergency equipment, and inspectors check and record the emergency equipment conditions of each location one by one according to the regional distribution to ensure that there are no omissions, and finally summarize the number of emergency equipment EC. The number of people that can be accommodated in a shelter ED refers to the number of people that a shelter can safely accommodate in an emergency such as a natural disaster or accident disaster. The method of obtaining is: by consulting the shelter design documents to determine the two parameters of the effective use area of ​​the shelter and the per capita shelter area standard. The number of people that can be accommodated in a shelter ED is calculated by (effective use area / per capita shelter area standard)*number of shelters.

[0056] The construction area data includes the total construction area EH.

[0057] It should be noted that the total construction area EH refers to the size of the area used for construction operations, material stacking, equipment parking and other construction-related activities. The acquisition method is: use a total station to collect multiple coordinate points on the boundary of the construction area, import the collected coordinate point data into the Southern CASS software, and obtain the total construction area EH. Among them, the Southern CASS software is a data processing software with the function of calculating polygon area.

[0058] The emergency resource coverage index EG is calculated based on the number of hidden danger projects that have been rectified EA, the total number of hidden danger projects EB, the number of emergency equipment EC and the construction area data. The formula is: It should be noted that this formula obtains the emergency resource coverage index EG by comprehensively considering the rectification of hidden danger projects and the coverage rate of emergency equipment. The higher the proportion of the number of hidden danger projects EA that have been rectified to the total number of hidden danger projects EB, the better the rectification of hidden danger projects, the higher the emergency resource coverage index EG, the higher the coverage rate of the number of emergency equipment EC, and the higher the emergency resource coverage index EG.

[0059] Employee data also includes employee emergency training skills score EF.

[0060] It should be noted that the employee emergency training skills score EF is a quantitative assessment of the emergency response capabilities of employees after receiving emergency training. It is obtained by designing a test paper on prevention knowledge, emergency response procedures, relevant laws and regulations, etc. related to various emergency events such as earthquakes, fires, collapses, etc. to test employees' emergency knowledge, score them according to their answers, count the employees' scores and calculate their average score as the employee emergency training skills score EF.

[0061] The material data includes the protective material inventory quantity FA and the protective material safety stock quantity FB.

[0062] It should be noted that the protective material inventory quantity FA refers to the actual quantity of protective materials currently owned, including safety helmets, safety shoes, protective gloves, masks, goggles, protective clothing, etc. The method of obtaining it is: check the purchase records and collection records of protective materials, and determine the protective material inventory quantity FA by initial inventory + cumulative purchase quantity - cumulative collection quantity. The protective material safety stock quantity FB refers to the pre-set minimum inventory quantity in order to cope with uncertain situations such as possible fluctuations in demand for protective materials and supply interruptions. The method of obtaining it is: statistically analyze historical supply cycle fluctuations and monthly protective material usage, find the longest supply cycle, calculate the average supply cycle and the average monthly protective material usage. The protective material safety stock quantity FB is calculated by the average monthly protective material usage * (longest supply cycle - average supply cycle).

[0063] The emergency personnel index EI is calculated based on material data, the number of people that can be accommodated in the shelter ED and the employee emergency training skill score EF. The formula is: It should be noted that the operating principle of this formula is: The reserve of protective materials is measured by calculating the ratio of the protective material inventory quantity FA to the protective material safety inventory quantity FB. The higher the ratio, the better the reserve of protective materials, the higher the employee construction safety, the higher the emergency personnel index EI, the higher the employee emergency training skill score EF, the stronger the employee emergency response capability, and the higher the emergency personnel index EI. It is used to measure the accommodation capacity of the shelter. The greater the accommodation capacity, the higher the safety of the employees' construction and the higher the emergency personnel index EI.

[0064] The emergency index EK is calculated based on the emergency resource coverage index EG and the emergency personnel index EI, and the formula is: in, is the weight coefficient of the emergency resource coverage index EG, which is between 0.3 and 0.7 and is determined according to the degree of influence of the emergency resource coverage index EG on the emergency index EK. is the weight coefficient of the emergency personnel index EI, which ranges from 0.3 to 0.7 and is determined according to the degree of influence of the emergency personnel index EI on the emergency index EK, and .

[0065] It should be noted that this formula obtains the emergency index EK by comprehensively considering the influence of the emergency resource coverage index EG and the emergency personnel index EI. The higher the emergency resource coverage index EG and the emergency personnel index EI, the lower the emergency index EK and the lower the safety risk of the construction area.

[0066] Step 207: The method for calculating the material safety index FG is: Material data also includes material inventory time FC, material shelf life FD, average inventory balance FE and material usage FF.

[0067] It should be noted that the material inventory time FC refers to the time from when the material enters the warehouse to when it leaves the warehouse, reflecting the length of time the material is stored in the warehouse. It is an important indicator for measuring inventory turnover efficiency. The method of obtaining it is: by querying the inventory management system records to obtain the material entry time and exit time, and calculating the difference between the two as the material inventory time FC. The material shelf life FD refers to the period during which the material maintains its specified quality characteristics under the specified storage conditions, and is determined by checking the shelf life indicated on the material packaging. The average inventory balance FE refers to the average amount of funds occupied by inventory materials in a certain period of time, which is calculated by (beginning inventory balance + ending inventory balance) / 2, where the beginning inventory balance and ending inventory balance are obtained by querying financial accounting records. The material usage FF refers to the actual amount of materials consumed, reflecting the material demand situation. The material usage FF is determined by querying the warehouse's material requisition records.

[0068] The material safety index FG is calculated based on the material inventory time FC, material shelf life FD, average inventory balance FE and material usage FF. The formula is: It should be noted that the operating principle of this formula is: The higher the turnover rate, the faster the materials are used, the smaller the possibility of material backlog, the lower the safety risk, and the lower the material safety index FG. It reflects the time from the end of the shelf life of the material. The longer the time, the higher the material safety, the lower the safety risk, and the lower the material safety index FG.

[0069] Combined with the contents of step 201 to step 207: Calculating the material pile safety index AC based on the material pile data is conducive to identifying potential safety hazards such as collapse and sliding of the material pile. Calculating the personnel exposure hazard index BH based on the environmental data and employee data can prevent employees from working in high-risk areas for a long time and help to arrange shifts or rest time reasonably. Calculating the equipment failure risk index CM based on the environmental data, equipment operation data and employee data can comprehensively consider various factors affecting equipment failure and predict the probability and time node of possible equipment failure in advance. Calculating the construction progress and safety balance index DK based on the construction plan data, employee data and equipment operation data can provide a quantitative decision-making basis for construction project managers to avoid blindly pursuing progress while ignoring safety. Calculating the emergency index EK based on the construction area data, material data, safety data and employee data can more comprehensively reflect the emergency management level and ability to respond to emergencies at the construction site. Calculating the material safety index FG based on material data is conducive to accurately evaluating the safety and quality reliability of construction materials.

[0070] Step 3: Calculate the comprehensive risk coefficient GA on site based on the material pile safety index AC, the personnel exposure hazard index BH, the construction area data and the reference standard data; calculate the comprehensive equipment and progress coefficient GB based on the equipment failure risk index CM, the construction progress and safety balance index DK, the reference standard data and the equipment operation data; calculate the comprehensive emergency and material coefficient GC based on the emergency index EK, the material safety index FG, the reference standard data, the safety data and the material data; calculate the safety risk index G based on the comprehensive risk coefficient GA on site, the comprehensive equipment and progress coefficient GB and the comprehensive emergency and material coefficient GC; preset a set of safety risk thresholds; determine the safety level of the construction area based on the safety risk index G and the safety risk threshold set; adjust the construction plan based on the safety level of the construction area.

[0071] Step 3 includes the following steps: Step 301: The reference standard data includes the maximum value of the material pile safety index YAC, the maximum value of the personnel exposure risk index YBH, the maximum value of the equipment failure risk index YCM, the maximum value of the construction progress and safety balance index YDK, the maximum value of the emergency index YEK and the maximum value of the material safety index YFG.

[0072] It should be noted that the maximum value of the material pile safety index YAC refers to an upper limit value used to measure the safety level of the material pile during the material stacking process. When this value is exceeded, the probability of material sliding and collapse increases. The determination method is: collect historical data from different construction areas, and calculate the material pile safety index according to the above method, screen out the lower 50% of the data and calculate its average value as the maximum value of the material pile safety index YAC.

[0073] The maximum value of the personnel exposure hazard index YBH refers to the upper limit of the various risk exposure levels faced by personnel in the working environment. When this value is exceeded, the probability of a decline in the physical health of the staff increases. The determination method is: collect historical data from different construction areas, and calculate the personnel exposure hazard index according to the above method, screen out the lower 50% of the data and calculate its average value as the maximum value of the personnel exposure hazard index YBH.

[0074] The maximum value of the equipment failure risk index YCM refers to the upper limit value used to measure the risk level of equipment failure during equipment operation. When this value is exceeded, the probability of equipment failure increases. The determination method is: collect historical data from different construction areas, and calculate the equipment failure risk index according to the above method, filter out the lower 50% of the data and calculate its average value as the maximum value of the equipment failure risk index YCM.

[0075] The maximum value of the construction progress and safety balance index YDK refers to the upper limit value used to measure the balance relationship between construction progress and construction safety during the construction process. When this value is exceeded, the probability of a safety accident or a decline in economic benefits increases. The determination method is: collect historical data from different construction areas, and calculate the construction progress and safety balance index according to the above method, screen out the lower 50% of the data and calculate its average value as the maximum value of the construction progress and safety balance index YDK.

[0076] The maximum value of the emergency index YEK refers to the upper limit value used to measure emergency preparedness and emergency response capabilities in emergency management. When this value is exceeded, the probability of employees being in distress increases when emergencies such as natural disasters occur. The determination method is: collect historical data from different construction areas, calculate the emergency index according to the above method, screen out the lower 50% of the data and calculate its average value as the maximum value of the emergency index YEK.

[0077] The maximum value of the material safety index YFG refers to the upper limit value used to measure the safety of materials during the storage and use of materials. When this value is exceeded, the probability of a safety accident increases. The determination method is: collect historical data from different construction areas, and calculate the material safety index according to the above method, screen out the lower 50% of the data and calculate its average value as the maximum value of the material safety index YFG.

[0078] The construction area data includes the total area XA of the area without safety hazards.

[0079] It should be noted that the total area of ​​areas without safety hazards XA refers to the sum of the areas within the construction area where there are no areas that may pose a safety threat to personnel, equipment, and the environment. The determination method is: divide the construction area into several smaller areas according to specific functions, and check each divided area for safety hazards one by one. After determining the areas without safety hazards, measure the length, width and other dimensions of these areas, calculate their areas according to the corresponding geometric shape calculation formula, and finally add up the areas of all areas without safety hazards to obtain the total area XA of areas without safety hazards.

[0080] The comprehensive risk coefficient GA of the site is calculated based on the material pile safety index AC, the personnel exposure risk index BH, the construction area data, the maximum value of the material pile safety index YAC and the maximum value of the personnel exposure risk index YBH. The formula is: It should be noted that this formula evaluates the on-site risk by calculating the ratio of the material pile safety index AC, the personnel exposure hazard index BH and their corresponding maximum values, and combining the ratio of the total area of ​​the area without safety hazards XA to the total area of ​​the construction area. The higher the ratio, the higher the risk and the greater the comprehensive on-site risk coefficient GA.

[0081] Equipment operation data also includes equipment update rate XB.

[0082] It should be noted that the equipment update rate XB refers to the ratio of the number of updated equipment in the construction project to the total number of equipment. It is determined by checking the equipment ledger to determine the total number of equipment, checking the equipment installation and commissioning records and the new equipment activation application form to determine the number of updated equipment. The equipment update rate XB is calculated by dividing the number of updated equipment by the total number of equipment.

[0083] The equipment and progress comprehensive coefficient GB is calculated based on the equipment failure risk index CM, the construction progress and safety balance index DK, the maximum value of the equipment failure risk index YCM, the maximum value of the construction progress and safety balance index YDK and the equipment update rate XB. The formula is: It should be noted that this formula measures the balance ability of equipment and progress by calculating the equipment failure risk index CM, the ratio of the construction progress and safety balance index DK to their corresponding maximum values, and combining the equipment update rate. The higher the comprehensive coefficient of equipment and progress GB, the higher the safety risk.

[0084] Safety data also includes the emergency response time standard achievement rate XC.

[0085] It should be noted that the emergency response time standard achievement rate XC refers to the ratio of the number of times the emergency response time standard is actually achieved to the total number of emergency events when an emergency event occurs. It reflects the ability and efficiency of the emergency management system to respond effectively to emergency events within the specified time. The method of obtaining it is: check the emergency event record archives, obtain the total number of emergency events by statistics, query the emergency event response time records, filter out the number of response times within the specified standards, and calculate the emergency response time standard achievement rate XC by (number of times within the specified standards / total number of emergency events).

[0086] Material data also includes a material supply stability score XD.

[0087] It should be noted that the material supply stability score XD is an indicator for quantitatively evaluating the reliability and consistency of supply during the material supply process. It is determined by checking the delivery records and delivery quantities of the material supplier, and counting the number of delayed deliveries and the number of insufficient deliveries. The material supply stability score XD is determined by calculating (100-number of delayed deliveries-number of insufficient deliveries).

[0088] The emergency and material comprehensive coefficient GC is calculated based on the emergency index EK, material safety index FG, emergency index maximum value YEK, material safety index maximum value YFG, emergency response time standard achievement rate XC and material supply stability score XD. The formula is: It should be noted that the operating principle of this formula is: By combining the emergency index EK and the emergency response time standard achievement rate XC, the emergency comprehensive index is obtained to measure the emergency response capability. The larger the value, the worse the emergency response capability and the higher the emergency and material comprehensive coefficient GC. By combining the material safety index FG and the material supply stability score XD, we get the material comprehensive index to measure material safety. The larger the value, the worse the material safety and the higher the emergency and material comprehensive coefficient GC.

[0089] The safety risk index G is calculated based on the comprehensive coefficient of site risk GA, the comprehensive coefficient of equipment and progress GB, and the comprehensive coefficient of emergency and materials GC. The formula is: in, is the weight coefficient of the comprehensive site risk coefficient GA, with a value of 0.3 to 0.5, and is determined according to the degree of influence of the comprehensive site risk coefficient GA on the safety risk index G. is the weight coefficient of the equipment and schedule comprehensive coefficient GB, with a value of 0.2 to 0.5, and is determined according to the degree of influence of the equipment and schedule comprehensive coefficient GB on the safety risk index G. is the weight coefficient of the emergency and material comprehensive coefficient GC, with a value of 0.2 to 0.5, which is determined according to the influence of the emergency and material comprehensive coefficient GC on the safety risk index G, and .

[0090] It should be noted that this formula obtains the safety risk index G by comprehensively considering three factors: the comprehensive coefficient of field risk GA, the comprehensive coefficient of equipment and progress GB, and the comprehensive coefficient of emergency and materials GC.

[0091] The security risk threshold set includes a high risk threshold GG and a low risk threshold GD.

[0092] It should be noted that the method for determining the high-risk threshold GG and the low-risk threshold GD is: collect historical data from different construction areas, calculate the safety risk indicators according to the above method, screen out the lower 50% of the data and calculate their average and standard deviation, calculate the value of the average plus the standard deviation as the reference value of the high-risk threshold GG, and calculate the value of the average minus the standard deviation as the reference value of the low-risk threshold GD.

[0093] The safety level of the construction area is determined based on the safety risk index G and the safety risk threshold set. The standards are: The specific methods for adjusting the construction plan according to the safety level of the construction area are: When a construction area is judged to be at a high-risk level, construction activities should be suspended immediately, and a professional safety inspection team should be organized to conduct a comprehensive and detailed inspection of the construction area, including but not limited to construction equipment, temporary facilities, material stacking, electrical lines, fire-fighting facilities, etc. Based on the inspection results, a detailed rectification plan should be formulated, and comprehensive safety training should be conducted for all construction personnel to reduce high-risk operations and increase safety protection measures.

[0094] When the construction area is judged to be at a medium-risk level, local construction in areas where safety hazards exist can be suspended, and these local areas can be inspected in detail to determine the sources of risk. Based on the inspection results, targeted rectification measures can be taken. At the same time, safety supervision should be strengthened during the rectification process and subsequent construction.

[0095] When the construction area is judged to be at a low risk level, daily safety inspections and equipment maintenance work must be maintained, and construction personnel must continue to be reminded of safety awareness and receive safety education.

[0096] Combined with the content of step 301: The safety risk index G is calculated based on the comprehensive on-site risk coefficient GA, the comprehensive equipment and progress coefficient GB, and the comprehensive emergency and material coefficient GC. This avoids the one-sidedness caused by a single factor assessment, helps to discover potential risk associations and chain reactions, formulate response strategies in advance, and improve the overall level of construction safety management. It solves the problem of lack of detection and analysis of other important parameters and failure to integrate data from different sources, which leads to reduced accuracy of safety risk assessment results.

[0097] See also Figure 3 On the other hand, the present invention also discloses a construction safety environment monitoring and analysis system, which is used to implement the above construction safety environment monitoring and analysis method, including: Data collection module, which can collect material pile data, environmental data, employee data, equipment operation data, construction plan data, safety data, construction area data, material data and reference standard data; The indicator calculation module can calculate the material pile safety indicator AC based on the material pile data; calculate the personnel exposure risk indicator BH based on the environmental data and employee data; calculate the environmental factor indicator CL based on the environmental data and equipment operation data; calculate the environmental factor indicator CL based on the employee data, environmental factor indicator CL and equipment operation time CK h Calculate the equipment failure risk index CM; calculate the construction progress and safety balance index DK based on the construction plan data, employee data and equipment operation data; calculate the emergency resource coverage index EG based on the safety data and construction area data, calculate the emergency personnel index EI based on the material data, safety data and employee data, and calculate the emergency index EK based on the emergency resource coverage index EG and the emergency personnel index EI; calculate the material safety index FG based on the material data; The level judgment module can calculate the comprehensive risk coefficient GA of the site according to the material pile safety index AC, the personnel exposure hazard index BH, the construction area data and the reference standard data; calculate the comprehensive coefficient of equipment and progress GB according to the equipment failure risk index CM, the construction progress and safety balance index DK, the reference standard data and the equipment operation data; calculate the comprehensive coefficient of emergency and materials GC according to the emergency index EK, the material safety index FG, the reference standard data, the safety data and the material data; calculate the safety risk index G according to the comprehensive risk coefficient GA of the site, the comprehensive coefficient of equipment and progress GB and the comprehensive coefficient of emergency and materials GC; preset a set of safety risk thresholds; judge the safety level of the construction area according to the safety risk index G and the safety risk threshold set; and adjust the construction plan according to the safety level of the construction area.

[0098] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0099] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0100] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A construction safety environment monitoring and analysis method, characterized in that: The following steps are involved: Collect material pile data, environmental data, employee data, equipment operation data, construction plan data, safety data, construction area data, material data and reference standard data; Calculate the material pile safety index AC based on the material pile data; calculate the personnel exposure risk index BH based on the environmental data and employee data; calculate the environmental factor index CL based on the environmental data and equipment operation data; calculate the environmental factor index CL based on the employee data, environmental factor index CL and equipment operation time CK h Calculate the equipment failure risk index CM; calculate the construction progress and safety balance index DK based on the construction plan data, employee data and equipment operation data; calculate the emergency resource coverage index EG based on the safety data and construction area data, calculate the emergency personnel index EI based on the material data, safety data and employee data, and calculate the emergency index EK based on the emergency resource coverage index EG and the emergency personnel index EI; calculate the material safety index FG based on the material data; Calculate the comprehensive risk coefficient GA on site based on the material pile safety index AC, the personnel exposure risk index BH, the construction area data and the reference standard data; calculate the comprehensive equipment and progress coefficient GB based on the equipment failure risk index CM, the construction progress and safety balance index DK, the reference standard data and the equipment operation data; calculate the comprehensive emergency and material coefficient GC based on the emergency index EK, the material safety index FG, the reference standard data, the safety data and the material data; Calculate the safety risk index G based on the comprehensive on-site risk coefficient GA, the comprehensive equipment and progress coefficient GB, and the comprehensive emergency and material coefficient GC; preset a set of safety risk thresholds; determine the safety level of the construction area based on the safety risk index G and the safety risk threshold set; and adjust the construction plan based on the safety level of the construction area.

2. A construction safety environment monitoring and analysis method according to claim 1, characterized in that: The method for calculating the material pile safety index AC is: Material pile data includes material pile pressure value A a , average material pile pressure B, material pile height C a , Maximum allowable stacking height of material pile C max and the angle D between the material pile and the ground a ; The material pile safety index AC is calculated based on the material pile data, and the formula is: Among them, A a is the pressure value of the a-th material pile on the ground, a is the serial number corresponding to different material piles, and its value is [1, b]; b is the total number of material piles in the construction area, and its value is a positive integer; C a is the stacking height value of the a-th material pile; D a is the angle between the a-th material pile and the ground; is the weight coefficient of the uniformity of the material pile weight distribution, and its value is 0.4~0.6; is the weight coefficient of the material pile height safety factor, ranging from 0.4 to 0.6; and .

3. A construction safety environment monitoring and analysis method according to claim 2, characterized in that: The method for calculating the personnel exposure risk index BH is: Environmental data including harmful gas concentration BA d , Allowable concentration of harmful gases BB d , dust concentration BD and dust allowable concentration BE; Employee data include employee stay time BF; The personnel exposure risk index BH is calculated based on environmental data and employee data, based on the following formula: Among them, BA d is the concentration of the dth harmful gas, d is the serial number corresponding to different harmful gases, and its value is [1, e]; e is the total number of categories of different harmful gases, and its value is a positive integer.

4. A construction safety environment monitoring and analysis method according to claim 3, characterized in that: The method for calculating the environmental factor index CL is: Environmental data also include construction area temperature CE, humidity CF and wind speed CG; Equipment operation data includes the normal operating temperature CH h , Equipment normal operation humidity CI h and the normal operating wind speed CJ of the equipment h ; The environmental factor index CL is calculated based on environmental data and equipment operation data, and the formula is: Among them, CH h is the normal operating temperature of the hth device; h is the serial number corresponding to different devices, and its value is [1, i]; i is the total number of devices in the construction area, and its value is a positive integer; CI h is the normal operating humidity of the hth device; CJ h is the normal operating wind speed of the hth device.

5. A construction safety environment monitoring and analysis method according to claim 4, characterized in that: The method for calculating the equipment failure risk index CM is: Employee data also includes the number of equipment operation errors. f And the total number of equipment operations CB f ; Equipment operation data also includes equipment operation time CK h ; Based on employee data, environmental factor index CL and equipment operation time CK h The calculation formula for the equipment failure risk index CM is: Among them, CK h is the operating time of the hth device; CA f is the number of errors made by the fth employee when operating the equipment, f is the serial number corresponding to different employees, and its value is [1, g]; g is the total number of employees; CB f The total number of equipment operations performed by the fth employee.

6. A construction safety environment monitoring and analysis method according to claim 5, characterized in that: The method for calculating the construction progress and safety balance index DK is: The construction plan data includes the number of completed construction tasks DA, the number of planned completed construction tasks DB and the total number of construction tasks DC; Employee data also includes the actual working hours of employees DF f , normal working hours DG and maximum permissible overtime hours DH; Equipment operation data also includes equipment service life CP h and load factor CN h ; The construction progress and safety balance index DK is calculated based on the construction plan data, employee data and equipment operation data, and the formula is: Among them, DF f is the actual working hours of the fth employee.

7. A construction safety environment monitoring and analysis method according to claim 6, characterized in that: The method for calculating the emergency index EK is: Safety data include the number of hidden danger projects that have been rectified EA, the total number of hidden danger projects EB, the number of emergency equipment EC and the number of people that can be accommodated in the shelter ED; The construction area data include the total construction area EH; The emergency resource coverage index EG is calculated based on the number of hidden danger projects that have been rectified EA, the total number of hidden danger projects EB, the number of emergency equipment EC and the construction area data. The formula is: The employee data also includes employee emergency training skills score EF; Material data includes protective material inventory quantity FA and protective material safety stock quantity FB; The emergency personnel index EI is calculated based on material data, the number of people that can be accommodated in the shelter ED and the employee emergency training skill score EF. The formula is: The emergency index EK is calculated based on the emergency resource coverage index EG and the emergency personnel index EI, and the formula is: in, is the weight coefficient of the emergency resource coverage index EG, ranging from 0.3 to 0.7; is the weight coefficient of the emergency personnel index EI, ranging from 0.3 to 0.7; and .

8. A construction safety environment monitoring and analysis method according to claim 7, characterized in that: The method for calculating the material safety index FG is: Material data also includes material inventory time FC, material shelf life FD, average inventory balance FE and material usage FF; The material safety index FG is calculated based on the material inventory time FC, material shelf life FD, average inventory balance FE and material usage FF. The formula is: 。 9. A construction safety environment monitoring and analysis method according to claim 8, characterized in that: The method for judging the safety level of the construction area is: The reference standard data include the maximum value of material pile safety index YAC, the maximum value of personnel exposure risk index YBH, the maximum value of equipment failure risk index YCM, the maximum value of construction progress and safety balance index YDK, the maximum value of emergency index YEK and the maximum value of material safety index YFG; The construction area data includes the total area XA without safety hazards; The comprehensive risk coefficient GA of the site is calculated based on the material pile safety index AC, the personnel exposure risk index BH, the construction area data, the maximum value of the material pile safety index YAC and the maximum value of the personnel exposure risk index YBH. The formula is: Equipment operation data also includes equipment update rate XB; The equipment and progress comprehensive coefficient GB is calculated based on the equipment failure risk index CM, the construction progress and safety balance index DK, the maximum value of the equipment failure risk index YCM, the maximum value of the construction progress and safety balance index YDK and the equipment update rate XB. The formula is: Safety data also includes emergency response time standard achievement rate XC; Material data also includes material supply stability score XD; The emergency and material comprehensive coefficient GC is calculated based on the emergency index EK, material safety index FG, emergency index maximum value YEK, material safety index maximum value YFG, emergency response time standard achievement rate XC and material supply stability score XD. The formula is: The safety risk index G is calculated based on the comprehensive coefficient of site risk GA, the comprehensive coefficient of equipment and progress GB, and the comprehensive coefficient of emergency and materials GC. The formula is: in, is the weight coefficient of the comprehensive risk coefficient GA of the site, and its value ranges from 0.3 to 0.5; is the weight coefficient of the equipment and schedule comprehensive coefficient GB, with a value of 0.2 to 0.5; is the weight coefficient of the emergency and material comprehensive coefficient GC, with a value of 0.2 to 0.5; and , The security risk threshold set includes a high risk threshold GG and a low risk threshold GD; The safety level of the construction area is determined based on the safety risk index G and the safety risk threshold set. The standards are: 。 10. A construction safety environment monitoring and analysis system, characterized in that: include: Data collection module, which can collect material pile data, environmental data, employee data, equipment operation data, construction plan data, safety data, construction area data, material data and reference standard data; The indicator calculation module can calculate the material pile safety indicator AC based on the material pile data; calculate the personnel exposure risk indicator BH based on the environmental data and employee data; calculate the environmental factor indicator CL based on the environmental data and equipment operation data; and calculate the environmental factor indicator CL based on the employee data, environmental factor indicator CL and equipment operation time CK. h Calculate the equipment failure risk index CM; calculate the construction progress and safety balance index DK based on the construction plan data, employee data and equipment operation data; calculate the emergency resource coverage index EG based on the safety data and construction area data, calculate the emergency personnel index EI based on the material data, safety data and employee data, and calculate the emergency index EK based on the emergency resource coverage index EG and the emergency personnel index EI; calculate the material safety index FG based on the material data; The level judgment module can calculate the comprehensive risk coefficient GA of the site according to the material pile safety index AC, the personnel exposure risk index BH, the construction area data and the reference standard data; calculate the comprehensive coefficient of equipment and progress GB according to the equipment failure risk index CM, the construction progress and safety balance index DK, the reference standard data and the equipment operation data; calculate the comprehensive coefficient of emergency and materials GC according to the emergency index EK, the material safety index FG, the reference standard data, the safety data and the material data; Calculate the safety risk index G based on the comprehensive on-site risk coefficient GA, the comprehensive equipment and progress coefficient GB, and the comprehensive emergency and material coefficient GC; preset a set of safety risk thresholds; determine the safety level of the construction area based on the safety risk index G and the safety risk threshold set; and adjust the construction plan based on the safety level of the construction area.

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