Early warning method for labor safety of outdoor workers in hot environment in summer

Abstract

The invention provides an outdoor worker labor safety early warning method in a hot summer environment, and the method comprises the steps: querying a weather forecast, so as to obtain weather information affecting the labor safety of an outdoor worker in a preset time period, and determining the labor safety level of each weather factor; according to the relative importance degree between the weather factors, constructing a judgment matrix to obtain the weight of each weather factor; for each weather factor, determining the membership degree of the weather factor to each labor safety level according to a membership degree function so as to establish an evaluation matrix of the weather factor; based on the weight of each weather factor and the evaluation matrix, obtaining a labor safety evaluation value of each weather factor; and based on the labor safety level and the labor safety evaluation value of each weather factor, obtaining a comprehensive score of the labor safety of the outdoor worker so as to carry out labor safety early warning. According to the method, through safety early warning, outdoor workers can carry out work deployment in advance so as to prevent the health of the outdoor workers from being harmed by a hot environment in summer.

Description

Technical Field

[0001] The present application belongs to the field of safety warning technology, and in particular relates to a labor safety warning method for outdoor workers in a hot summer environment. Background Art

[0002] In recent years, high temperature environments have appeared more and more frequently. As we all know, high temperature weather in summer is a very unfavorable natural environment. In recent years, the phenomenon of urban heat islands has become more and more prominent due to human factors. At the same time, the greenhouse effect has also caused the atmospheric temperature to gradually rise, which has made the outdoor thermal environment in the city worse and worse. As an extreme weather, the hot summer environment is very unfavorable to human health. It is very easy to cause heat-induced diseases and affect human safety. The high temperature, high humidity and long duration in summer pose severe challenges to the labor operations of outdoor workers. They work long hours, have high labor intensity and a difficult working environment that can easily cause health problems. It can be seen that the current labor safety status of outdoor workers is not optimistic and needs urgent attention.

[0003] The only existing early warning system is the high temperature early warning system. This system takes into account the impact of temperature on the human body. According to different outdoor temperatures, high temperature warnings are divided into three levels, represented by yellow, orange, and red. In the hot summer environment, factors that affect the labor safety of outdoor workers include not only temperature, but also humidity, wind speed, etc., but the degree of impact varies. Therefore, the existing high temperature early warning system has limitations and cannot be fully used as a reference for the degree of outdoor labor safety. Summary of the invention

[0004] In view of this, the purpose of this application is to provide a labor safety early warning method for outdoor workers in a hot summer environment, which comprehensively considers the impact of weather factors including temperature, humidity, solar radiation intensity and wind speed on the labor safety of outdoor workers, and evaluates the labor safety level of each weather factor individually, and then reasonably assigns weights to each weather factor to obtain a comprehensive labor safety score for labor safety early warning. This method enables outdoor workers to make work arrangements in advance to prevent the hot summer environment from causing harm to the health of outdoor workers.

[0005] The present application provides a labor safety early warning method for outdoor workers in a hot summer environment, comprising:

[0006] Check the weather forecast to obtain weather information that may affect the labor safety of outdoor workers during a predetermined period of time, and determine the labor safety level of each weather factor;

[0007] According to the relative importance of each weather factor, a judgment matrix is ​​constructed to obtain the weight of each weather factor;

[0008] For each weather factor, determine the degree of membership of the weather factor to each labor safety level according to the membership function, so as to establish an evaluation matrix for the weather factor;

[0009] Based on the weights and evaluation matrix of each weather factor, the labor safety evaluation value of each weather factor is obtained;

[0010] Based on the labor safety level and labor safety assessment value of each weather factor, a comprehensive score of the labor safety of the outdoor workers is obtained to carry out labor safety warning.

[0011] Furthermore, the query of the weather forecast to obtain weather information that affects the labor safety of outdoor workers within a predetermined time period and determine the labor safety level of each weather factor includes:

[0012] Determining the labor safety level of the temperature and humidity respectively according to the temperature and humidity values ​​of the weather forecast within a predetermined time period;

[0013] Determine the labor safety level of the solar radiation intensity according to the sky conditions in the weather forecast within a predetermined time period; the sky conditions include: sunny, lightly cloudy, cloudy, overcast, and rainy;

[0014] The labor safety level of the wind speed is determined based on the wind force level of the weather forecast information within a predetermined time period; the wind force level is 0 to 6.

[0015] Furthermore, the judgment matrix is ​​constructed according to the relative importance of each weather factor to obtain the weight of each weather factor, including:

[0016] For each weather factor, determine the relative importance value of the weather factor relative to other weather factors; the relative importance value is an integer value between (0, 9] and the reciprocal of the integer value;

[0017] The relative importance values ​​of each weather factor are used as matrix elements to construct the judgment matrix;

[0018] After multiplying the elements of each row in the judgment matrix, a fourth root calculation is performed to obtain a square root value of each row in the judgment matrix;

[0019] The square root value is normalized to obtain a characteristic vector of each row in the judgment matrix, and the characteristic vector is determined as the weight of each weather factor.

[0020] Furthermore, after obtaining the weights of the weather factors, the method further includes:

[0021] Based on the weights of the weather factors, the maximum eigenvalue of the judgment matrix is ​​calculated, and a consistency check is performed on the judgment matrix;

[0022] When the consistency check result indicates that the judgment matrix has satisfactory consistency, retaining the judgment matrix;

[0023] When the consistency check result indicates that the judgment matrix does not have satisfactory consistency, the matrix elements of the judgment matrix are adjusted until the judgment matrix has satisfactory consistency.

[0024] Furthermore, for each weather factor, the membership of the weather factor to each labor safety level is determined according to the membership function to establish an evaluation matrix for the weather factor, including:

[0025] For each quantifiable weather factor, according to the semi-trapezoidal distribution membership function, based on the index value of the quantifiable weather factor, determine the membership of the quantifiable weather factor to each labor safety level, so as to establish an evaluation matrix for the quantifiable weather factor;

[0026] For each non-quantifiable weather factor, according to the triangular membership function with an arithmetic difference value of 0.3, based on the labor safety level of the non-quantifiable weather factor, the membership of the non-quantifiable weather factor to each labor safety level is determined to establish an evaluation matrix for the non-quantifiable weather factor;

[0027] The quantifiable weather factors include temperature and humidity, and the non-quantifiable weather factors include solar radiation intensity and wind speed.

[0028] Furthermore, the labor safety assessment value of each weather factor is obtained based on the weight and assessment matrix of each weather factor, including:

[0029] Integrating the evaluation matrices of the quantifiable and non-quantifiable weather factors to obtain an evaluation matrix for each weather factor;

[0030] Based on the weight and evaluation matrix of each weather factor, the labor safety evaluation value of each weather factor is obtained.

[0031] Furthermore, the labor safety level and labor safety assessment value based on each weather factor are used to obtain a comprehensive score of the labor safety of the outdoor workers so as to provide labor safety warning, including:

[0032] Convert the labor safety level of each weather factor into a labor safety score;

[0033] The labor safety assessment value of each weather factor is used as a weight coefficient, and the labor safety score of each weather factor is weighted and summed to obtain a comprehensive score of the labor safety of the outdoor worker;

[0034] Labor safety warning is issued based on the preset correspondence between the comprehensive score of outdoor workers' labor safety and the warning level.

[0035] Furthermore, the weather factors include: temperature, humidity, solar radiation intensity and wind speed; the labor safety levels include: excellent, good, medium, poor and bad.

[0036] The labor safety early warning method for outdoor workers in a hot summer environment provided by the present application comprehensively considers the impact of weather factors including temperature, humidity, solar radiation intensity and wind speed on outdoor work health, and obtains a comprehensive labor safety score by individually evaluating the labor safety level of each weather factor and then reasonably allocating weights to each weather factor to conduct labor safety early warning. This method enables outdoor workers to make work arrangements in advance to prevent the hot summer environment from causing harm to the health of outdoor workers. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A flow chart of a labor safety early warning method for outdoor workers in a hot summer environment provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solution and advantages of the technical solution more clear, the technical solution is further described in detail below in conjunction with specific implementation methods. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the technical solution.

[0039] See also Figure 1 , Figure 1 The flowchart of the labor safety early warning method for outdoor workers in a hot summer environment provided by the embodiment of the present application is shown. Figure 1 As shown, the evaluation method comprises:

[0040] S101. Query the weather forecast to obtain weather information that affects the labor safety of outdoor workers within a predetermined time period, and determine the labor safety level of each weather factor.

[0041] Among them, the weather factors include: temperature, humidity, solar radiation intensity and wind speed; the labor safety levels include: excellent, good, medium, poor and bad.

[0042] In specific implementation, the labor safety level of each weather factor within a predetermined time period can be determined through the following steps:

[0043] Step 1011: Determine the labor safety level of the temperature and humidity respectively according to the temperature and humidity values ​​of the weather forecast within a predetermined time period.

[0044] In this step, weather information such as temperature, humidity, sky conditions and wind level within a predetermined time period can be queried through the weather forecast. Furthermore, the temperature value and humidity value in the weather forecast are used as indicator values ​​for determining the labor safety level of temperature and humidity, respectively, and the labor safety level of temperature and humidity is determined based on pre-set determination criteria.

[0045] As an example, the judgment criteria for the labor safety level of temperature and humidity pre-set in the embodiment of the present application are shown in Table 1.

[0046] Table 1. Determination criteria for labor safety levels of temperature and humidity

[0047] Labor safety level excellent good middle Poor Difference Temperature value (℃) (18，29] (29，32] (32，34] (34，36] (36，40] Humidity value (%) (0，20] (20，40] (40，60] (60，80] (80，100]

[0048] Step 1012: Determine the labor safety level of the solar radiation intensity according to the sky conditions in the weather forecast within a predetermined time period.

[0049] The sky conditions include: sunny, partly cloudy, overcast, overcast and rainy.

[0050] In this step, the clearness of the sky condition in the weather forecast has a positive correlation with the solar radiation intensity, but has a negative correlation with the labor safety level.

[0051] As an example, in the embodiment of the present application, when the sky condition is clear, the solar radiation intensity is large and the labor safety level is poor; when the sky condition is rainy, the solar radiation intensity is small and the labor safety level is excellent; the corresponding relationship between the other sky conditions and the labor safety level is as follows: when the sky condition is a few clouds, the labor safety level is poor; when the sky condition is cloudy, the labor safety level is medium; when the sky condition is overcast, the labor safety level is good.

[0052] Step 1013: Determine the labor safety level of the wind speed based on the wind force level of the weather forecast information within a predetermined time period.

[0053] The wind force level is from 0 to 6.

[0054] In this step, the weather forecast divides the wind force level into 18 levels, among which wind speeds above level 7 are relatively large and are unlikely to occur in daily life. Therefore, this application will focus on the labor safety level of wind speeds of levels 0-6.

[0055] As an example, the corresponding relationship between the wind force level and the labor safety level of the wind speed in the embodiment of the present application is: when the wind force level is (0, 2], the labor safety level of the wind speed is poor, when the wind force level is (2, 3], the labor safety level of the wind speed is poor, when the wind force level is (3, 4], the labor safety level of the wind speed is medium, when the wind force level is (4, 5], the labor safety level of the wind speed is good, and when the wind force level is (5, 6], the labor safety level of the wind speed is excellent.

[0056] S102: construct a judgment matrix according to the relative importance of each weather factor to obtain the weight of each weather factor.

[0057] In specific implementation, the weights of various weather factors can be obtained through the following steps:

[0058] Step 1021: For each weather factor, determine the relative importance value of the weather factor relative to other weather factors.

[0059] The relative importance value is an integer value between (0, 9] and the reciprocal of the integer value.

[0060] In this step, the analytic hierarchy process is used to determine the weight of each weather factor. The quantifiable and non-quantifiable factors can be combined for a systematic analysis. Specifically, by assessing the relative importance of any two weather factors to the labor safety of outdoor workers, the relative importance value of the weather factor relative to other weather factors is assigned.

[0061] Here, use u i and u j represents weather factors, then u ij Indicates weather factors i Compared with other weather factors j The relative importance value of i To u j The relative importance and relative importance value u ij The corresponding relationship is shown in Table 2.

[0062] Table 2.u i To u j The relative importance and relative importance value u ij The corresponding relationship

[0063] <![CDATA[u i To u j The relative importance of equal Slightly important Clearly important Strongly important Extremely important <![CDATA[u ij ]]> 1 3 5 7 9

[0064] In addition, 2, 4, 6, and 8 not shown in Table 1 represent intermediate values ​​evaluated as adjacent relative importance levels. ji Indicates weather factors j Compared with other weather factors iThe relative importance value of ij =1 / u ji .

[0065] As an example, the relative importance values ​​of various weather factors in the embodiment of the present application are shown in Table 3.

[0066] Table 3. Relative importance of each weather factor

[0067] Weather Factors temperature humidity Wind speed Solar radiation intensity temperature 1 4 3 6 humidity 1 / 4 1 1 / 2 3 Wind speed 1 / 3 2 1 5 Solar radiation intensity 1 / 6 1 / 3 1 / 5 1

[0068] Step 1022: Use the relative importance values ​​of each weather factor as matrix elements to construct the judgment matrix.

[0069] In this step, the relative importance values ​​of each weather factor are used as matrix elements to construct a judgment matrix P as shown in the following formula (1):

[0070]

[0071] Step 1023: After multiplying the elements of each row in the judgment matrix, perform a fourth root calculation to obtain the square root value of each row in the judgment matrix.

[0072] Step 1024: normalize the square root value to obtain the eigenvector of each row in the judgment matrix, and determine the eigenvector as the weight of each weather factor.

[0073] As an example, the weights of various weather factors determined in the embodiment of the present application are shown in Table 4.

[0074] Table 4. Weight of each weather factor

[0075] Weather Factors temperature humidity Wind speed Solar radiation intensity Weight 0.542 0.146 0.252 0.06

[0076] In addition, after obtaining the weights of the weather factors, the method further includes:

[0077] Step 201: Calculate the maximum eigenvalue of the judgment matrix based on the weights of each weather factor, and perform a consistency check on the judgment matrix.

[0078] In this step, the maximum eigenvalue λ of the judgment matrix is ​​obtained by the following formula (2): max :

[0079]

[0080] Where n is the number of weather factors, that is, the order of the judgment matrix, W i is the weight of each weather factor.

[0081] As an example, the maximum eigenvalue λ of the embodiment of the present application is max=3.8876.

[0082] Furthermore, the consistency of the judgment matrix is ​​tested by the following formula (3):

[0083] CR=CI / RI;(3)

[0084] In the formula, CI is the consistency index of the judgment matrix, which is obtained by the following formula (4):

[0085]

[0086] Where RI is the average random consistency index, which is obtained through the corresponding relationship between the average random consistency index and the matrix order shown in Table 5.

[0087] Table 5. Correspondence between average random consistency index and matrix order

[0088] n 1 2 3 4 5 6 7 8 9 RI 0 0 0.58 0.90 1.12 1.24 1.32 1.41 1.45

[0089] When the consistency check result indicates that the judgment matrix has satisfactory consistency, step 202 is executed to retain the judgment matrix.

[0090] In this step, when CR < 0.10 is satisfied, the judgment matrix is ​​considered to have satisfactory consistency, indicating that the weight distribution is reasonable, and the judgment matrix is ​​retained.

[0091] When the consistency check result indicates that the judgment matrix does not have satisfactory consistency, step 203 is performed to adjust the matrix elements of the judgment matrix until the judgment matrix has satisfactory consistency.

[0092] In this step, when CR < 0.10 is not satisfied, it is considered that the judgment matrix does not have satisfactory consistency, indicating that the weight distribution is unreasonable, and the judgment matrix should be adjusted until satisfactory consistency is achieved.

[0093] As an example, the CI of the embodiment of the present application is -0.037, CR is -0.04, and has satisfactory consistency.

[0094] S103. For each weather factor, determine the membership of the weather factor to each labor safety level according to the membership function, so as to establish an evaluation matrix for the weather factor.

[0095] In specific implementation, the evaluation matrix of the weather factor can be established through the following steps:

[0096] Step 1031: for each quantifiable weather factor, according to the membership function of the semi-trapezoidal distribution and based on the index value of the quantifiable weather factor, determine the membership of the quantifiable weather factor to each labor safety level to establish an evaluation matrix for the quantifiable weather factor.

[0097] The quantifiable weather factors include temperature and humidity.

[0098] In this step, temperature and humidity are quantifiable factors, and the membership function of the semi-trapezoidal distribution can be used to determine the membership of temperature and humidity to each labor safety level. Specifically, the membership function of the semi-trapezoidal distribution shown in formula (5) is used to calculate the membership A of temperature and humidity to each labor safety level. im (x):

[0099]

[0100] In the formula, i represents weather factors: temperature and humidity, m represents labor safety level: excellent, good, medium, poor, and bad, m=1, 2,…, 5, a represents the minimum index value of the weather factor, b represents the maximum index value of the weather factor, and x represents the index value of the weather factor.

[0101] As an example, the corresponding relationships between the temperature and humidity and the membership of each labor safety level in the embodiment of the present application are shown in Tables 6 and 7 respectively.

[0102] Table 6. Corresponding relationship between temperature and the degree of membership of each labor safety level

[0103]

[0104]

[0105] Table 7. Corresponding relationship between humidity and the degree of membership of each labor safety level

[0106]

[0107] Furthermore, the calculated membership of the quantifiable weather factor to each labor safety level is determined as the evaluation matrix R of the weather factor. i =(r i1 ,r i2 ,…,r i5 ).

[0108] Step 1032: for each non-quantifiable weather factor, according to the triangular membership function with an arithmetic difference value of 0.3 and based on the labor safety level of the non-quantifiable weather factor, determine the membership of the non-quantifiable weather factor to each labor safety level to establish an evaluation matrix for the non-quantifiable weather factor.

[0109] The non-quantifiable weather factors include: solar radiation intensity and wind speed.

[0110] In this step, solar radiation intensity and wind speed are non-quantifiable factors, and a five-level membership function, i.e., a triangular membership function with an arithmetic interval of 0.3, can be used to determine the membership of the weather factor to each labor safety level. Specifically, based on the pre-acquired index values ​​of solar radiation intensity and wind speed, and according to the corresponding relationship between the membership of wind speed and solar radiation intensity to each labor safety level, the membership of solar radiation intensity and wind speed to each labor safety level is determined respectively.

[0111] As an example, the corresponding relationships between the wind speed and solar radiation intensity and the membership of each labor safety level in the embodiment of the present application are shown in Tables 8 and 9 respectively.

[0112] Table 8. Correspondence between wind speed and the degree of membership of each labor safety level

[0113]

[0114] Table 9. Correspondence between solar radiation intensity and the degree of membership of each labor safety level

[0115]

[0116] Furthermore, the membership values ​​in Table 8 and Table 9 are normalized respectively to obtain normalized matrices of wind speed and solar radiation intensity. For each non-quantifiable weather factor, the evaluation matrix of the non-quantifiable weather factor is obtained based on the membership of the non-quantifiable weather factor to each labor safety level and the normalized matrix corresponding to the non-quantifiable weather factor.

[0117] As an example, the evaluation matrix of non-quantifiable weather factors can be obtained by the following formula (6):

[0118]

[0119] In the formula, i represents weather factors: wind speed, solar radiation intensity, A im It indicates the degree of membership of non-quantifiable weather factors to each labor safety level.

[0120] S104. Based on the weights and evaluation matrix of each weather factor, obtain the labor safety evaluation value of each weather factor.

[0121] In specific implementation, the labor safety assessment value of each weather factor can be obtained through the following steps:

[0122] Step 1041: Integrate the evaluation matrices of the quantifiable and non-quantifiable weather factors to obtain an evaluation matrix of each weather factor.

[0123] Step 1042: Based on the weights of various weather factors and the evaluation matrix, obtain the labor safety evaluation value of each weather factor.

[0124] In this step, the labor safety assessment value B of each weather factor is obtained by the following formula (7):

[0125]

[0126] Where W is the weight of each weather factor, W = w1, w2..., w4, R is the evaluation matrix of each weather factor, B is the labor safety evaluation value of each weather factor, B = b1, b2..., b m .

[0127] S105. Based on the labor safety level and labor safety assessment value of each weather factor, a comprehensive score of the labor safety of the outdoor worker is obtained to perform a labor safety warning.

[0128] In specific implementation, the comprehensive score of labor safety for outdoor workers can be obtained through the following steps:

[0129] Step 1051: Convert the labor safety level of each weather factor into a labor safety score.

[0130] In this step, the labor safety score of each weather factor is determined according to the preset corresponding relationship between the labor safety level and the labor safety score as shown in Table 8.

[0131] Table 10. Correspondence between labor safety levels and labor safety scores

[0132] Labor safety level excellent good middle Poor Difference Labor safety score 10 8 6 4 2

[0133] Step 1052: Taking the labor safety assessment value of each weather factor as a weight coefficient, weighted summing the labor safety scores of each weather factor is performed to obtain a comprehensive labor safety score of the outdoor worker.

[0134] In this step, the comprehensive score E of outdoor workers' labor safety is obtained by the following formula (8):

[0135]

[0136] In the formula, v i is the labor safety score of each weather factor, b i It is the labor safety assessment value of each weather factor, that is, the weight coefficient.

[0137] Step 1053: Perform a labor safety warning based on the preset correspondence between the comprehensive score of labor safety of outdoor workers and the warning level.

[0138] In this step, according to the preset correspondence between the comprehensive score of outdoor workers' labor safety and the warning level as shown in Table 9, the warning level corresponding to the comprehensive score of outdoor workers' labor safety is found and the corresponding warning signal is issued.

[0139] Table 11. Correspondence between the comprehensive score of labor safety of outdoor workers and the warning level

[0140] Comprehensive score of labor safety 2-4 4-5 5-6 6-10 Warning level Red Alert Orange warning Yellow Warning No warning

[0141] The above contents are only preferred embodiments of the present invention. For ordinary technicians in this field, many changes can be made in the specific implementation methods and application scopes based on the ideas of the present technical content. As long as these changes do not deviate from the concept of the present invention, they all fall within the scope of protection of this patent.

Claims

1. A labor safety early warning method for outdoor workers in a hot summer environment, characterized in that: The method comprises: Check the weather forecast to obtain weather information that may affect the labor safety of outdoor workers during a predetermined period of time, and determine the labor safety level of each weather factor; According to the relative importance of each weather factor, a judgment matrix is ​​constructed to obtain the weight of each weather factor; For each weather factor, determine the degree of membership of the weather factor to each labor safety level according to the membership function, so as to establish an evaluation matrix for the weather factor; Based on the weights and evaluation matrix of each weather factor, the labor safety evaluation value of each weather factor is obtained; Based on the labor safety level and labor safety assessment value of each weather factor, a comprehensive score of the labor safety of the outdoor workers is obtained to carry out labor safety warning.

2. The method according to claim 1, characterized in that The query of the weather forecast to obtain weather information that affects the labor safety of outdoor workers within a predetermined time period and determine the labor safety level of each weather factor includes: Determining the labor safety level of the temperature and humidity respectively according to the temperature and humidity values ​​of the weather forecast within a predetermined time period; Determine the labor safety level of the solar radiation intensity according to the sky conditions in the weather forecast within a predetermined time period; the sky conditions include: sunny, lightly cloudy, cloudy, overcast, and rainy; The labor safety level of the wind speed is determined based on the wind force level of the weather forecast information within a predetermined time period; the wind force level is 0 to 6.

3. The method according to claim 1, characterized in that According to the relative importance of each weather factor, a judgment matrix is ​​constructed to obtain the weight of each weather factor, including: For each weather factor, determine the relative importance value of the weather factor relative to other weather factors; the relative importance value is an integer value between (0, 9] and the reciprocal of the integer value; The relative importance values ​​of each weather factor are used as matrix elements to construct the judgment matrix; After multiplying the elements of each row in the judgment matrix, a fourth root calculation is performed to obtain a square root value of each row in the judgment matrix; The square root value is normalized to obtain a characteristic vector of each row in the judgment matrix, and the characteristic vector is determined as the weight of each weather factor.

4. The method according to claim 3, characterized in that After obtaining the weights of the weather factors, the method further includes: Based on the weights of the weather factors, the maximum eigenvalue of the judgment matrix is ​​calculated, and a consistency check is performed on the judgment matrix; When the consistency check result indicates that the judgment matrix has satisfactory consistency, retaining the judgment matrix; When the consistency check result indicates that the judgment matrix does not have satisfactory consistency, the matrix elements of the judgment matrix are adjusted until the judgment matrix has satisfactory consistency.

5. The method according to claim 1, characterized in that For each weather factor, the membership of the weather factor to each labor safety level is determined according to the membership function to establish an evaluation matrix for the weather factor, including: For each quantifiable weather factor, according to the semi-trapezoidal distribution membership function, based on the index value of the quantifiable weather factor, determine the membership of the quantifiable weather factor to each labor safety level, so as to establish an evaluation matrix for the quantifiable weather factor; For each non-quantifiable weather factor, according to the triangular membership function with an arithmetic difference value of 0.3, based on the labor safety level of the non-quantifiable weather factor, the membership of the non-quantifiable weather factor to each labor safety level is determined to establish an evaluation matrix for the non-quantifiable weather factor; The quantifiable weather factors include temperature and humidity, and the non-quantifiable weather factors include solar radiation intensity and wind speed.

6. The method according to claim 5, characterized in that The labor safety assessment value of each weather factor is obtained based on the weight and assessment matrix of each weather factor, including: Integrating the evaluation matrices of the quantifiable and non-quantifiable weather factors to obtain an evaluation matrix for each weather factor; Based on the weight and evaluation matrix of each weather factor, the labor safety evaluation value of each weather factor is obtained.

7. The method according to claim 1, characterized in that The labor safety level and labor safety assessment value based on each weather factor are used to obtain a comprehensive score of the labor safety of the outdoor workers so as to provide labor safety warning, including: Convert the labor safety level of each weather factor into a labor safety score; The labor safety assessment value of each weather factor is used as a weight coefficient, and the labor safety score of each weather factor is weighted and summed to obtain a comprehensive score of the labor safety of the outdoor worker; Labor safety warning is issued based on the preset correspondence between the comprehensive score of outdoor workers' labor safety and the warning level.

8. The method according to claim 1, characterized in that The weather factors include: temperature, humidity, solar radiation intensity and wind speed; the labor safety levels include: excellent, good, medium, poor and poor.

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