A high-temperature work grading management method and system

Abstract

The application discloses a high-temperature operation grading management method and system, and the method comprises the following steps: constructing a model and obtaining a wet-bulb black globe temperature index according to historical data; performing linear optimization on the corresponding relationship between discrete labor intensity and operation time limit and the wet-bulb black globe temperature index, and obtaining a complete first data group of the wet-bulb black globe temperature index corresponding to the labor intensity and the operation time limit by using an interpolation complement method; performing linear optimization on the risk grade corresponding to the wet-bulb black globe temperature index and the labor intensity and the operation time limit according to the numerical value of the wet-bulb black globe temperature index in the first data group, and obtaining a complete second data group of the risk grade corresponding to the wet-bulb black globe temperature index and the labor intensity and the operation time limit; inputting temperature and humidity into the model to obtain the wet-bulb black globe temperature index, inputting labor intensity to obtain the operation time limit according to the first data group, and inputting a small amount of parameters to obtain the risk grade according to the second data group.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of occupational injury monitoring and protection, and particularly relates to a high-temperature operation grading management method and system. BACKGROUND

[0002] In the tropics and coastal areas, the summer is hot and humid, so preventing heatstroke has always been an important part of risk control of summer operations in various regions. Heatstroke has occurred in high-temperature areas of various nuclear power bases over the years, which is a severe challenge to the safety production of high-quality power plants in high-temperature areas.

[0003] The occupational health monitoring of heatstroke environment in China mainly relies on the field measurement of the Wet Bulb Globe Temperature (WBGT) tester for control. When using the Wet Bulb Globe Temperature tester, long-time debugging is required before field measurement, and only real-time data can be measured, which cannot be predicted, so it cannot predict risks and guide work in a timely manner in the actual use process. SUMMARY

[0004] The technical problem to be solved by the present application is that the related technology mentioned in the above background technology has at least one defect: it cannot predict and quickly obtain the future Wet Bulb Globe Temperature index, and provides a high-temperature operation grading management method and system.

[0005] The technical scheme adopted by the present application to solve the technical problem is: a high-temperature operation grading management method is constructed, comprising the following steps:

[0006] S1: obtaining the Wet Bulb Globe Temperature index according to the historical data by constructing a model;

[0007] S2: linearly optimizing the corresponding relationship between discrete labor intensity and operation time limit and the Wet Bulb Globe Temperature index, and obtaining a complete first data set of the Wet Bulb Globe Temperature index corresponding to the labor intensity and the operation time limit by interpolation completion method;

[0008] S3: linearly optimizing the Wet Bulb Globe Temperature index and the risk level corresponding to the labor intensity and the operation time limit according to the numerical value of the Wet Bulb Globe Temperature index in the first data set, and obtaining a complete second data set of the risk level corresponding to the Wet Bulb Globe Temperature index, the labor intensity and the operation time limit;

[0009] S4: obtaining the Wet Bulb Globe Temperature index by substituting the input temperature and humidity into the model, obtaining the operation time limit according to the first data set combined with the input labor intensity, and obtaining the risk level combined with the second data set.

[0010] Preferably, in the high-temperature work grading management method, the temperature, humidity, solar radiation intensity, air pressure and wind speed are calculated according to a wet-bulb black-bulb temperature obtaining function to obtain the model.

[0011] Preferably, in the high-temperature work grading management method, the wet-bulb black-bulb temperature obtaining function is obtained by fitting the measured temperature, humidity and wet-bulb black-bulb temperature index.

[0012] Preferably, in the high-temperature work grading management method, the linear optimization of the risk level corresponding to the wet-bulb black-bulb temperature index and the labor intensity and the work time limit comprises:

[0013] Linearly extrapolating the numerical value of the wet-bulb black-bulb temperature index.

[0014] Preferably, in the high-temperature work grading management method, the labor intensity is divided into four levels, including light labor, medium labor, heavy labor and extremely heavy labor.

[0015] The risk level is divided into four levels, including low risk, medium risk, high risk and extremely high risk.

[0016] The application also constructs a high-temperature work grading management system, comprising:

[0017] A building module is configured to obtain a wet-bulb black-bulb temperature index by building a model and according to historical data.

[0018] A first table building module is configured to linearly optimize the corresponding relationship between discrete labor intensity and work time limit and the wet-bulb black-bulb temperature index, and obtain a complete first data set of the wet-bulb black-bulb temperature index corresponding to the labor intensity and the work time limit by interpolation completion method.

[0019] A second table building module is configured to linearly optimize the risk level corresponding to the wet-bulb black-bulb temperature index and the labor intensity and the work time limit according to the numerical value of the wet-bulb black-bulb temperature index in the first data set, and obtain a complete second data set of the risk level corresponding to the wet-bulb black-bulb temperature index, the labor intensity and the work time limit.

[0020] A calculation module is configured to obtain the wet-bulb black-bulb temperature index by substituting the input temperature and humidity into the model, obtain the work time limit according to the first data set in combination with the input labor intensity, and obtain the risk level in combination with the second data set.

[0021] Preferably, in the high-temperature operation grading management system, in the building module, the temperature, humidity, sunshine intensity, air pressure and wind speed are calculated according to the wet-bulb black-bulb temperature obtaining function, and the model is obtained.

[0022] Preferably, in the high-temperature operation grading management system, the wet-bulb black-bulb temperature obtaining function is obtained by fitting the measured temperature, humidity and wet-bulb black-bulb temperature index.

[0023] Preferably, in the high-temperature operation grading management system, in the second table building module, the risk level corresponding to the wet-bulb black-bulb temperature index, the labor intensity and the operation time limit is linearly optimized, including:

[0024] The numerical value of the wet-bulb black-bulb temperature index is linearly extrapolated.

[0025] Preferably, in the high-temperature operation grading management system, the labor intensity is divided into four levels, including light labor, medium labor, heavy labor and extremely heavy labor.

[0026] The risk level is divided into four levels, including low risk, medium risk, high risk and extremely high risk.

[0027] By implementing the present application, the following beneficial effects are achieved:

[0028] The application discloses a high-temperature operation grading management method and system, which obtains a wet-bulb black-bulb temperature index by building a model and according to historical data; linearly optimizes the corresponding relationship between discrete labor intensity and operation time limit and the wet-bulb black-bulb temperature index, and obtains a complete first data group of the wet-bulb black-bulb temperature index corresponding to the labor intensity and the operation time limit by interpolation completion method; linearly optimizes a risk level corresponding to the wet-bulb black-bulb temperature index, the labor intensity and the operation time limit according to the numerical value of the wet-bulb black-bulb temperature index in the first data group, and obtains a complete second data group of the risk level corresponding to the wet-bulb black-bulb temperature index, the labor intensity and the operation time limit; obtains the wet-bulb black-bulb temperature index by substituting input temperature and humidity into the model, obtains the operation time limit according to the first data group in combination with the input labor intensity, and obtains the risk level in combination with the second data group. According to the created model and parameter relationship, the overall scheme is convenient and fast to use, and only temperature, humidity and labor intensity need to be input, so that the wet-bulb black-bulb temperature index, the risk classification and the operation time limit value can be obtained. BRIEF DESCRIPTION OF DRAWINGS

[0029] The application will be further described below in combination with the drawings and embodiments, and the drawings will be described as follows.

[0030] Figure 1 is a module block diagram of the high-temperature operation hierarchical management system of the present application;

[0031] Figure 2 is a flowchart of the high-temperature operation hierarchical management method of the present application. DETAILED DESCRIPTION

[0032] In order to have a clearer understanding of the technical features, objects and effects of the present application, the specific embodiments of the present application will be described in detail with reference to the accompanying drawings.

[0033] It should be noted that the flowchart shown in the accompanying drawings is only illustrative, and does not necessarily include all the contents and operations / steps, nor does it necessarily execute in the order described. For example, some operations / steps can be further decomposed, and some operations / steps can be combined or partially combined, so the actual execution order can be changed according to the actual situation.

[0034] The block diagram shown in the accompanying drawings is only a functional entity, and does not necessarily correspond to a physically independent entity. That is, these functional entities can be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.

[0035] In the present embodiment, as shown in Figure 1 the present application further constructs a high-temperature operation hierarchical management system, comprising:

[0036] a building module for obtaining a wet-bulb black globe temperature index by building a model and according to historical data;

[0037] a first table building module for linearly optimizing the corresponding relationship between discrete labor intensity and operation time limit and the wet-bulb black globe temperature index, and obtaining a first data set of the complete wet-bulb black globe temperature index corresponding to the labor intensity and operation time limit by interpolation completion method;

[0038] Table 1: First data set

[0039]

[0040] a second table building module for linearly optimizing the risk level corresponding to the wet-bulb black globe temperature index and the labor intensity and operation time limit according to the value of the wet-bulb black globe temperature index in the first data set, and obtaining a second data set of the complete risk level corresponding to the wet-bulb black globe temperature index, labor intensity and operation time limit;

[0041] Table 2: Second data set

[0042]

[0043] a calculation module for obtaining a wet-bulb globe temperature index by inputting the temperature and humidity into a model, obtaining a work time limit according to the first data set in combination with the input labor intensity, and obtaining a risk level in combination with the second data set.

[0044] The influence of temperature and humidity on people can be reflected by the wet-bulb globe temperature index. In actual measurement, the wet-bulb globe temperature index covers three indexes of air temperature, humidity and radiant heat. When necessary, wind speed is added as an index to improve accuracy. The basic calculation method is: WBGT = 0.7t s + 0.2t g + 0.1t a , wherein t s represents the wet-bulb temperature, t g represents the dry-bulb temperature, and t a represents the air temperature. In an indoor environment, or in the case where solar radiation can be ignored, the calculation method is: WBGT = 0.7t s + 0.3t g . Therefore, it is concluded that the wet-bulb globe temperature index is a linear function of temperature.

[0045] Currently, the only high-temperature work-related standards are GBZ2.2 "Occupational Exposure Limit Values for Hazardous Factors in the Workplace - Physical Factors" in the national occupational health standards and GBZ / T229.3 "Workplace Occupational Hazards Operation Classification Part 3 - High Temperature" in the national occupational health standards. Other recommendations have been abolished, and there are currently few standard data available for reference.

[0046] As shown in Table 3, the corresponding relationship between labor intensity and exposure time rate and wet-bulb globe temperature index in GBZ2.2 "Occupational Exposure Limit Values for Hazardous Factors in the Workplace - Physical Factors" in the national occupational health standards is shown in Table 3. The exposure time rate can be converted into the work time limit. It can be obtained that the data of the wet-bulb globe temperature index in the content of Table 3 is discrete, and there is a lack of part of the wet-bulb globe temperature in the actual development of exposure time related measures.

[0047] Table 3: Wet-bulb globe temperature index limit for different physical labor intensity in the workplace (℃)

[0048]

[0049] As shown in Tables 4 and 5, the 2019 Threshold Limit Values and Biologically Exposed Indices of the American Conference of Governmental Industrial Hygienists, Table 3 of the Heat Stress Chapter of the Threshold Limit Value and Biological Exposure Index for Chemical Substances and Physical Agents document, and Table 8.1 of the National Institute for Occupational Safety and Health’s Recommended Occupational Exposure Levels for Hot Environments, through which it is possible to obtain the work duration for a strenuous work intensity of 10 minutes per hour, for a total of 1 hour and 20 minutes per day, taking a conservative decision to take the total time of 1 hour per day.

[0050] Table 4: Metabolic rate categories and representative metabolic rates (with active substances)

[0051]

[0052] *The effect of body weight on the estimated metabolic rate can be explained by multiplying the estimated metabolic rate by the ratio of the actual body weight divided by 70 kilograms (154 pounds).

[0053] Table 5: Recommendations for rest work exchange in warm weather conditions

[0054]

[0055] *Water requirements can vary according to individual differences (± 0.25 volume / hour-1), liquid intake should not exceed 1.5 volumes / hour-1 exposed to full sun or full shade (± 0.25 volume / hour-1); daily liquid intake should not exceed 12 quarts in general. This does not mean that the liquid intake of people in high conditions is limited, who can need more than 12 quarts per day. Note: Rest = sitting or standing, if possible,

[0056] In the shade. Adapted from the Department of Defense

[2007] .

[0057] The data in Table 3, which are discrete, are rounded to obtain the values shown in Table 1, where the shaded part is the value of GBZ 2.2 Occupational Exposure Limits for Hazardous Agents in the Workplace - Physical Factors in the National Occupational Health Standards, and the values of the rest are based on the contents of Tables 4 and 5, and are complemented using linear interpolation, obtaining the first data set of 25-39 °C Wet Bulb Globe Temperature Index and work duration limits for labor intensity.

[0058] In the national occupational health standards GBZ / T229.3 "Workplace occupational hazards operation classification Part 3-High temperature", the table of different levels of operation is stipulated, and the recommended prevention and control measures are given. However, the table in the national occupational health standards GBZ / T229.3 "Workplace occupational hazards operation classification Part 3-High temperature" lacks data of wet bulb globe temperature index 25℃-28℃. Through the analysis of the table of exposure time in the national occupational health standards GBZ / T229.3 "Workplace occupational hazards operation classification Part 3-High temperature", it is found that the classification is linear law, combined with the 2019 threshold value of the American government industrial hygiene expert meeting and the biological exposure index based on the chemical substance and physical reagent threshold value file of the heat stress chapter table 3 and the table 8.1 of the high temperature environment occupational exposure recommended standard of the American national occupational safety and health institute, the classification is linear extension to the wet bulb globe temperature index 25℃, as shown in table 2, to meet the related provisions of the first data set based on GB2.2 that the wet bulb globe temperature index is greater than 25℃ as high temperature operation, wherein the shadow part is the second data set of the extension part.

[0059] In this embodiment, in the construction module, the temperature, humidity, solar intensity, air pressure and wind speed are calculated according to the wet bulb globe temperature obtaining function to obtain the model.

[0060] Wherein, the wet bulb globe temperature obtaining function is obtained by fitting the measured temperature, humidity, wet bulb globe temperature index.

[0061] Preferably, the wet bulb globe temperature index is obtained in practice by considering the temperature, humidity, solar intensity, air pressure, wind speed and other meteorological parameters, and the black box thinking is used to construct the model to obtain the wet bulb globe temperature index. By fitting the measured temperature, humidity and wet bulb globe temperature index, the approximate fitting formula is obtained, that is, the formula is: WBGT=a+b×T+c×RH, wherein T represents temperature, RH represents relative humidity, a represents regional parameter, b represents temperature constant and c represents humidity constant. Using the formula, the wet bulb globe temperature index can be obtained by inputting only temperature and humidity.

[0062] The measured data in a certain city area is substituted into the formula to obtain the approximate calculation formula: WBGT=-13.5+1.24×T+7.3×RH, wherein-13.5 represents the meteorological condition specific parameter in a certain city area, and the regional parameter is mainly affected by solar intensity, air pressure and wind speed.

[0063] And in this embodiment, in the second table construction module, the wet bulb globe temperature index is linearly optimized with the risk level corresponding to the labor intensity and operation time limit, including:

[0064] The value of the wet-bulb globe temperature index is linearly extended.

[0065] In addition, in this embodiment, the labor intensity is divided into four levels, including light labor, medium labor, heavy labor and extremely heavy labor.

[0066] The risk level is divided into four levels, including low risk, medium risk, high risk and extremely high risk.

[0067] Preferably, the definition rule of labor intensity is that light labor is hand work or light activity of legs in a sitting position, such as typing, sewing and foot switch, etc.; or operating instruments, controlling viewing devices, assembly work with upper arm force as the main part. Medium labor is continuous action of hands and arms, such as sawing wood, etc.; or work of arms and legs, such as transportation operation of trucks, tractors or construction equipment, etc.; or work of arms and trunk, such as forging, pneumatic tool operation, painting, intermittent carrying of medium heavy objects, weeding, plowing, picking fruits or vegetables, etc. Heavy labor is work with load of arms and trunk, such as carrying heavy objects, shovel, hammer, sawing or chiseling hard wood, mowing and digging, etc. Extremely heavy labor is digging and carrying with great intensity, and extremely strong activity with fast rhythm.

[0068] By comparing the classification in GBZ / T 229.3 “Classification of Occupational Hazards in Workplace Part 3-Hot Environment” in the national occupational health standard and the classification in the recommended standard of occupational exposure in hot environment of the National Institute for Occupational Safety and Health of the United States, different control measures are developed for different levels.

[0069] Preferably, the risk level is obtained, and the risk control measures corresponding to the level are also obtained, specifically, for low risk, the measures taken are rest interval: no requirement; drinking water amount: 0.5L / h. For medium risk, the measures taken are rest interval: 20 minutes of rest every 40 minutes of work; drinking water amount: 0.8L / h; rest place requirement: wet-bulb globe temperature index less than 25 degrees Celsius, sitting rest place. For high risk, the measures taken are rest interval: 40 minutes of rest every 20 minutes of work; drinking water amount: 1L / h; work place requirement: forced ventilation and micro-environment forced cooling equipment; rest place requirement: wet-bulb globe temperature index less than 25 degrees Celsius, sitting rest place. For extremely high risk, the measures taken are not recommended to carry out work; rescue and disaster relief activities are not limited by this, and the following needs to be done: try to reduce the working time, take regular and sufficient rest, take forced micro-environment cooling measures, and if necessary, monitor the vital signs. The above control measures are recommended activities and requirements, which can be adjusted according to the actual situation.

[0070] Preferably, the medium risk threshold value is 33℃ according to the wet bulb globe temperature threshold value marked in the threshold value file of chemical substances and physical agents based on the 2019 threshold value and biological exposure index of the American Government Industrial Health Expert Meeting, and the daily working time is 1 hour when the globe temperature is greater than 33℃ according to the work-rest ratio in the high-temperature environment occupational exposure recommended standard of the American National Institute for Occupational Safety and Health, so there will be a case of 1 hour of working time and medium risk level.

[0071] The technical solution of the present application has been verified in Daya Bay and Yangjiang nuclear power plants, and the results show that the application range is wide, the results are relatively accurate, and the ability to obtain the wet bulb globe temperature index can be effectively improved.

[0072] Taking the actual temperature, humidity and wet bulb globe temperature index of the above-mentioned areas as an example, 420 groups of measured data are substituted into the model to verify the true value and the predicted value, the confidence reaches 94%, the error margin is generally ±0.02, and the prediction effect is good. Table 6 is a comparison of part of the measured and predicted data.

[0073] Table 6: Part of the measured data of the wet bulb globe temperature index model

[0074]

[0075] In this embodiment, as shown in Figure 2 , the present application constructs a high-temperature operation grading management method, including the following steps:

[0076] S1: obtaining the wet bulb globe temperature index by constructing a model and according to historical data;

[0077] S2: linearly optimizing the corresponding relationship between discrete labor intensity and operation time limit and the wet bulb globe temperature index, and obtaining a complete first data group of the wet bulb globe temperature index corresponding to the labor intensity and operation time limit by interpolation completion method;

[0078] S3: linearly optimizing the risk level corresponding to the wet bulb globe temperature index and the labor intensity and operation time limit according to the value of the wet bulb globe temperature index in the first data group, and obtaining a complete second data group of the risk level corresponding to the wet bulb globe temperature index and the labor intensity and operation time limit;

[0079] S4: obtaining the wet bulb globe temperature index by substituting the input temperature and humidity into the model, obtaining the operation time limit according to the first data group combined with the input labor intensity, and obtaining the risk level combined with the second data group.

[0080] The WBGT index can reflect the influence of temperature and humidity on human body. In actual measurement, the WBGT index covers three indexes of air temperature, humidity and radiant heat. If necessary, wind speed is added as an index to improve accuracy. The basic calculation method is: WBGT = 0.7t s + 0.2t g + 0.1t a , wherein t s represents the wet-bulb temperature, t g represents the dry-bulb temperature, and t a represents the air temperature. In the room, or in the case where solar radiation can be ignored, the calculation method is: WBGT = 0.7t s + 0.3t g . Therefore, it is concluded that the WBGT index is a linear function of temperature.

[0081] At present, the only relevant high-temperature operation is GBZ2.2 in the national occupational health standard "Occupational Exposure Limit of Hazardous Factors in the Workplace-Physical Factors" and GBZ / T229.3 in the national occupational health standard "Workplace Occupational Hazard Operation Classification Part 3-High Temperature". Other recommendations have been abolished, and there is less standard data available for reference.

[0082] As shown in Table 3, the corresponding relationship between labor intensity and exposure time rate and WBGT index in GBZ2.2 in the national occupational health standard "Occupational Exposure Limit of Hazardous Factors in the Workplace-Physical Factors" is shown in Table 3. The exposure time rate can be converted into the operation time limit. It can be obtained that the data of WBGT index in the content of Table 3 is discrete, and part of the WBGT index is lacking when formulating the exposure time related measures in actual.

[0083] As shown in Table 4 and Table 5, Table 3 of the heat stress chapter of the 2019 threshold value and biological exposure index limit threshold value document based on chemical substances and physical agents of the American government industrial hygiene expert meeting and Table 8.1 of the high-temperature environment occupational exposure recommendation standard of the American national occupational safety and health institute are shown. Through the table, it can be obtained that when the labor intensity is extremely heavy labor, the working time per hour is 10 minutes, the total time per day is about 1 hour and 20 minutes, and the total time per day is taken as 1 hour by taking a conservative decision.

[0084] The discrete data in Table 3 is sorted to obtain the content shown in Table 1. The shaded part is the value of GBZ2.2 in the national occupational health standard "Occupational Exposure Limit of Hazardous Factors in the Workplace-Physical Factors". The values of the remaining parts are based on the content of Table 4 and Table 5, and are completed by using linear interpolation to obtain the first data group of WBGT index and labor intensity and operation time limit at 25℃-39℃.

[0085] The table of different levels of operation is stipulated in the national occupational health standard GBZ / T 229.3 “Workplace Occupational Hazards Operation Classification Part 3-High Temperature”, and the recommended prevention and control measures are given. However, the table in the national occupational health standard GBZ / T 229.3 “Workplace Occupational Hazards Operation Classification Part 3-High Temperature” lacks data for wet bulb globe temperature index 25-28℃. Through analysis of the table of exposure time in the national occupational health standard GBZ / T 229.3 “Workplace Occupational Hazards Operation Classification Part 3-High Temperature”, it is found that the classification is linear, and combined with the 2019 threshold value of the American government industrial hygiene expert meeting and the biological exposure index based on the threshold value file of chemical substances and physical reagents Table 3 of the chapter of thermal stress and Table 8.1 of the high temperature environment occupational exposure recommended standard of the American National Institute for Occupational Safety and Health, the classification is linearly extended to the wet bulb globe temperature index 25℃, as shown in Table 2, to meet the relevant provisions of the first data set based on GB2.2 that the wet bulb globe temperature index is greater than 25℃, which is high temperature operation, and the shaded part is the second data set of the extension part.

[0086] In this embodiment, the temperature, humidity, solar intensity, air pressure and wind speed are calculated according to the wet bulb globe temperature obtaining function to obtain the model.

[0087] Wherein, the wet bulb globe temperature obtaining function is obtained by fitting the measured temperature, humidity and wet bulb globe temperature index.

[0088] Preferably, in practice, the temperature, humidity, solar intensity, air pressure, wind speed and other meteorological parameters are considered to obtain the wet bulb globe temperature index, and the black box thinking is used to construct the model to obtain the wet bulb globe temperature index. By fitting the measured temperature, humidity and wet bulb globe temperature index, the approximate fitting formula is obtained, that is, the formula is: WBGT=a+b×T+c×RH, wherein T represents temperature, RH represents relative humidity, a represents regional parameter, b represents temperature constant and c represents humidity constant. Using the formula, the wet bulb globe temperature index can be obtained by inputting only temperature and humidity.

[0089] The measured data in a certain city area are substituted into the formula to obtain the approximate calculation formula: WBGT=-13.5+1.24×T+7.3×RH, wherein-13.5 represents the meteorological condition specific parameter in a certain city area, and the regional parameter is mainly affected by solar intensity, air pressure and wind speed.

[0090] And in this embodiment, the wet bulb globe temperature index is linearly optimized with the risk level corresponding to the labor intensity and operation time limit, including:

[0091] The numerical value of the wet bulb globe temperature index is linearly extended.

[0092] In addition, in this embodiment, the labor intensity is divided into four levels, including light labor, medium labor, heavy labor and extremely heavy labor.

[0093] The risk level is divided into four levels, including low risk, medium risk, high risk and extremely high risk.

[0094] Preferably, the definition rule of labor intensity is that light labor is hand work or light activity of legs in a sitting position, such as typing, sewing and foot switch, etc.; or operating instruments, controlling viewing devices, assembly work with upper arm force as the main part. Medium labor is continuous action of hands and arms, such as sawing wood, etc.; or work of arms and legs, such as transportation operation of trucks, tractors or construction equipment; or work of arms and trunks, such as forging, pneumatic tool operation, painting, intermittent carrying of medium heavy objects, weeding, plowing, picking fruits or vegetables, etc. Heavy labor is work with load of arms and trunks, such as carrying heavy objects, shovel, hammer, sawing or chiseling hard wood, mowing and digging, etc. Extremely heavy labor is digging and carrying with great intensity, and extremely strong activity close to the limit rhythm.

[0095] By comparing the classification in GBZ / T 229.3 "Classification of Occupational Hazards in Workplace Part 3-Hot Environment" in the national occupational health standard and the classification in the recommended standard of occupational exposure in hot environment of the National Institute for Occupational Safety and Health of the United States, different control measures are developed for different levels.

[0096] Preferably, the risk level is obtained, and the risk control measures corresponding to the level are also obtained, specifically, for low risk, the measures taken are rest interval: no requirement; drinking water amount: 0.5L / h. For medium risk, the measures taken are rest interval: 20 minutes of rest every 40 minutes of work; drinking water amount: 0.8L / h; requirement for rest place: wet bulb globe temperature index less than 25 degrees Celsius, sitting rest place. For high risk, the measures taken are rest interval: 40 minutes of rest every 20 minutes of work; drinking water amount: 1L / h; requirement for work place: forced ventilation and micro-environment forced cooling equipment; requirement for rest place: wet bulb globe temperature index less than 25 degrees Celsius, sitting rest place. For extremely high risk, the measures taken are that work is not recommended; rescue and disaster relief activities are not limited by this, and the following needs to be done: work time is reduced as much as possible, regular and sufficient rest is taken, forced micro-environment cooling measures are taken, and vital signs are monitored if necessary. The above control measures are recommended activities and requirements, which can be adjusted according to actual conditions.

[0097] Preferably, the medium risk threshold value is 33℃ according to the wet bulb globe temperature threshold value marked in the threshold value file of chemical substances and physical agents based on the 2019 threshold value and biological contact index of the American Government Industrial Health Expert Meeting, and the daily working time is 1 hour when the globe temperature is greater than 33℃ according to the work-rest ratio in the high-temperature environment occupational exposure recommended standard of the American National Institute for Occupational Safety and Health, so there will be a case of 1 hour of working time and medium risk level.

[0098] The technical solution of the present application has been verified in Daya Bay and Yangjiang nuclear power plants, and the results show that the application range is wide, the results are relatively accurate, and the ability to obtain the wet bulb globe temperature index can be effectively improved.

[0099] Taking the actual temperature, humidity and wet bulb globe temperature index of the above-mentioned areas as an example, 420 groups of measured data are substituted into the model to verify the true value and the predicted value, the confidence reaches 94%, the error margin is generally ±0.02, and the prediction effect is good. Table 6 is a comparison of part of the measured and predicted data.

[0100] By implementing the present application, the following beneficial effects are achieved:

[0101] The present application discloses a high-temperature operation grading management method and system, which obtains a wet bulb globe temperature index by constructing a model and according to historical data; linearly optimizes the corresponding relationship between discrete labor intensity and operation time limit and the wet bulb globe temperature index, and obtains a complete first data group of the wet bulb globe temperature index corresponding to the labor intensity and the operation time limit by interpolation completion method; linearly optimizes the risk level corresponding to the wet bulb globe temperature index and the labor intensity and the operation time limit according to the value of the wet bulb globe temperature index in the first data group, and obtains a complete second data group of the risk level corresponding to the wet bulb globe temperature index, the labor intensity and the operation time limit; obtains the wet bulb globe temperature index by substituting the input temperature and humidity into the model, obtains the operation time limit according to the first data group combined with the input labor intensity, and obtains the risk level combined with the second data group. According to the created model and parameter relationship, the overall scheme is convenient and fast to use, only the temperature, humidity and labor intensity need to be input, and the wet bulb globe temperature index, risk classification and operation time limit can be obtained.

[0102] It can be understood that the above embodiments only express the preferred embodiments of the present application, which are described in a more specific and detailed manner, but cannot be understood as a limitation on the patent scope of the present application; it should be pointed out that, for ordinary skilled persons in the art, the above technical features can be freely combined without departing from the concept of the present application, and a number of modifications and improvements can be made, which all belong to the protection scope of the present application; therefore, any equivalent transformation and modification made with the patent claim scope of the present application shall belong to the coverage of the patent claim of the present application.

Claims

1. A method for graded management of high-temperature operations, characterized in that, The method comprises the following steps: S1: obtaining a wet bulb black globe temperature index by constructing a model and according to historical data; wherein the model is represented as: WBGT=a+b×T+c×RH, wherein T represents temperature, RH represents relative humidity, a represents a region parameter, b represents a temperature constant, and c represents a humidity constant; S2: performing interpolation processing and / or linear extension processing on the corresponding relationship between discrete labor intensity and work time limit and the wet bulb black globe temperature index to obtain a first data set of the wet bulb black globe temperature index corresponding to the labor intensity and the work time limit; S3: performing linear extension processing on the wet bulb black globe temperature index and a risk level corresponding to the labor intensity and the work time limit according to the value of the wet bulb black globe temperature index in the first data set to obtain a second data set of the risk level corresponding to the labor intensity and the work time limit; S4: obtaining the wet bulb black globe temperature index by substituting input temperature and humidity into the model, obtaining the work time limit according to the first data set in combination with the input labor intensity, and obtaining the risk level in combination with the second data set.

2. The high-temperature work classification management method according to claim 1, characterized by, The labor intensity is divided into four levels, including light labor, medium labor, heavy labor, and extremely heavy labor; The risk level is divided into four levels, including low risk, medium risk, high risk, and extremely high risk.

3. A high-temperature work classification management system characterized by comprising: The method comprises: a constructing module, configured to obtain a wet bulb black globe temperature index by constructing a model and according to historical data; wherein the model is represented as: WBGT=a+b×T+c×RH, wherein T represents temperature, RH represents relative humidity, a represents a region parameter, b represents a temperature constant, and c represents a humidity constant; a first table building module, configured to perform interpolation processing and / or linear extension processing on the corresponding relationship between discrete labor intensity and work time limit and the wet bulb black globe temperature index to obtain a first data set of the wet bulb black globe temperature index corresponding to the labor intensity and the work time limit; a second table building module, configured to perform linear extension processing on the wet bulb black globe temperature index and a risk level corresponding to the labor intensity and the work time limit according to the value of the wet bulb black globe temperature index in the first data set to obtain a second data set of the risk level corresponding to the labor intensity and the work time limit; a calculating module, configured to obtain the wet bulb black globe temperature index by substituting input temperature and humidity into the model, obtain the work time limit according to the first data set in combination with the input labor intensity, and obtain the risk level in combination with the second data set.

4. The high-temperature work classification management system according to claim 3, characterized by The labor intensity is divided into four levels, including light labor, medium labor, heavy labor, and extremely heavy labor; The risk level is divided into four levels, including low risk, medium risk, high risk, and extremely high risk.

Images