Evaluation method and system for fatigue measurement of high-altitude exploration operation

Abstract

The invention discloses an evaluation method and system for high-altitude exploration operation fatigue measurement, and belongs to the technical field of operation fatigue determination.The method comprises the steps that an initial scale is formed based on a Like scale, the scale is a unified standardized grading system and mode, and a standardized file is provided for a data processing program of a follow-up analysis device; then, unqualified question items are deleted through analysis, so that an intermediate scale is formed, and the intermediate scale has high feasibility; and finally obtaining a high-altitude exploration operation fatigue scale with relatively high credibility and feasibility by checking the intermediate scale and continuously feeding back and modifying. In addition, data are collected through a unified program, statistical analysis is conducted through a standardized method, and the defects that quantification is difficult and transverse comparison cannot be achieved in previous research are overcome.

Description

Technical Field

[0001] The present invention belongs to the technical field of job fatigue measurement, and particularly relates to an evaluation method and system for measuring the fatigue of high-altitude exploration operations. Background Art

[0002] Job fatigue refers to a state in which an individual gradually experiences discomfort and a decline in work ability during the labor production process, and it is an important factor leading to production accidents. High-altitude areas have environmental characteristics such as low pressure, lack of oxygen, cold and dryness, long sunshine hours, and strong solar radiation, which pose serious hazards to the human body. Compared with low-altitude areas, job fatigue in high-altitude areas is more obvious and intense due to environmental factors such as lack of oxygen and low temperature. When the physiological load level of workers exceeds 33% of the oxygen uptake, they will feel fatigued and unable to continue working. When high-altitude workers are stimulated by the external environment during continuous operations, physiological and psychological fatigue occur successively, and the fatigue feeling will accumulate over time, and the probability of job errors also increases.

[0003] Since job fatigue may lead to a decrease in work efficiency and even accidents, job fatigue has currently received extensive attention and research. Job fatigue monitoring can effectively evaluate the fatigue level of workers and avoid accidents caused by excessive fatigue. However, most of the theoretical and practical research on job fatigue focuses on the transportation field, sports field, and medical field, and the research on other fields is not extensive. Various methods for measuring job fatigue only involve aspects such as driving fatigue in the transportation field, and certain aspects in the sports field and medical field, and relatively few involve other fields.

[0004] In recent years, some scholars have gradually carried out research on the influencing factors of job fatigue for construction workers, online workers in the manufacturing industry, etc., but the research on the high-altitude exploration field is still blank. Therefore, there is an urgent need to establish a standardized questionnaire scale suitable for measuring the fatigue of exploration operations in high-altitude environments. At the same time, for different types of fatigue, there is no unified standardized index to quantify the fatigue levels of different workers, and the research results obtained have no comparability. Summary of the Invention

[0005] In view of the above problems, on the first aspect, the present invention proposes an evaluation method for measuring the fatigue of high-altitude exploration operations, including the following steps:

[0006] Establish an initial scale for measuring the fatigue of high-altitude exploration workers based on the Likert five-point scale;

[0007] Conduct item analysis on the initial scale, and delete unqualified items to form an intermediate scale;

[0008] Conduct reliability and validity tests on the intermediate scale and make feedback and modifications to form the final scale, and construct a basic fatigue measurement model;

[0009] Use the basic fatigue measurement model to calculate the original score and the standard score, and evaluate the fatigue degree of the subject in the form of the standard score.

[0010] Furthermore, the establishment of the initial scale for fatigue measurement of high-altitude exploration workers based on the Likert five-point scale includes the following steps:

[0011] Retrieve and summarize a wide range of items applicable to fatigue evaluation to form a basic scale;

[0012] Screen the items in the basic scale to form an initial scale.

[0013] Furthermore, the screening process includes:

[0014] Adjust the expression and arrangement order of the items in the basic scale, merge duplicate items, delete items irrelevant to the research object, and add items related to high-altitude operations.

[0015] Furthermore, the initial scale includes two parts:

[0016] The first part includes the gender, age, and working years of the subject;

[0017] The second part includes the response data of the subject to a number of items; the items are used to measure the physical fatigue degree, mental fatigue degree, and fatigue situationality of the subject; all items are measured using a five-point Likert scale.

[0018] Furthermore, the item analysis of the initial scale and the formation of the intermediate scale after deleting unqualified items include the following steps:

[0019] Use the critical ratio method to calculate the discrimination of each item in the initial scale;

[0020] Through the independent t-test method, statistically determine the discrimination of the item by the sig value;

[0021] Use the discrimination to judge each item. If the t value of an item is significant, it indicates that the item has discrimination and is a qualified item; otherwise, it is an unqualified item to be deleted;

[0022] Use the method of homogeneity test to test the initial scale after deleting an unqualified item; in the initial scale, if the reliability coefficient of the remaining initial scale is greater than or equal to the initial scale after continuing to delete an item, then delete the item to form the intermediate scale.

[0023] Further, perform reliability and validity tests on the intermediate scale, including the following steps:

[0024] Calculate the Cronbach's α coefficient, and use the Cronbach's α coefficient to conduct a reliability test on the stability and internal consistency of each part in the intermediate scale;

[0025] Conduct a validity test on the intermediate scale by calculating the KMO value of each item in the intermediate scale and the approximate chi-square value of the Bartlett spherical test.

[0026] Further, the construction of the basic fatigue measurement model includes the following steps:

[0027] Adopt the methods of principal component analysis and varimax rotation to reduce the dimension of the items in the intermediate scale that pass the reliability and validity tests;

[0028] Conduct a test on the dimensional structure of the fatigue measurement factors in the intermediate scale after dimension reduction processing, and construct a basic fatigue measurement model after passing the test;

[0029] Test the goodness of fit of the basic fatigue measurement model, analyze the path coefficients between various indicators, and obtain the fitting parameters to judge the credibility of the basic fatigue measurement model.

[0030] Further, the fitting indicators used to verify the goodness of fit between the basic fatigue measurement model and the numerical values include:

[0031] Chi-square degree of freedom ratio, root mean square error of approximation, normed fit index, comparative fit index, incremental fit index, and relative fit index;

[0032] If the indicators exceeding the set proportion in the fitting indicators are all within the acceptable range, it is considered that the basic fatigue measurement model has good goodness of fit.

[0033] Further, the formation of the final scale by giving feedback and modifying the intermediate scale includes the following steps:

[0034] If the intermediate scale that has passed the test meets the preset reliability and validity requirements, directly form the final scale. If the intermediate scale that has passed the test does not meet the preset reliability and validity requirements, give feedback and modify it until the final scale is formed after meeting the preset reliability and validity requirements.

[0035] Further, use the basic fatigue measurement model to calculate the original score and the standard score, and finally evaluate the fatigue degree of the subject in the form of the standard score; the calculation method of the standard score is as follows:

[0036] Standard score of physical fatigue = 100×(original score / n1);

[0037] Standard score of mental fatigue = 100×(raw score / n2);

[0038] Standard score of fatigue situation = 100×(raw score / n3);

[0039] Standard score of overall fatigue = 100×(raw score / n4);

[0040] Among them, n1, n2, n3, and n4 are the scores of physical fatigue, mental fatigue, fatigue situation, and overall fatigue of the subjects respectively, and the raw score is the arithmetic sum of the scores of each item in the final scale.

[0041] In the second aspect, the present invention proposes an evaluation system for measuring fatigue in high-altitude exploration operations, including:

[0042] An initial scale establishment module for establishing an initial scale for measuring fatigue of high-altitude exploration operation personnel based on the Likert five-point scale;

[0043] An intermediate scale establishment module for performing item analysis on the initial scale and forming an intermediate scale after deleting unqualified items;

[0044] A fatigue measurement basic model construction module for performing reliability and validity tests on the intermediate scale and forming a final scale through feedback modification, and constructing a fatigue measurement basic model;

[0045] A fatigue degree evaluation module for calculating the raw score and standard score using the fatigue measurement basic model and evaluating the fatigue degree of the subject in the form of the standard score.

[0046] Further, the initial scale establishment module specifically performs the following steps:

[0047] Retrieve and summarize a wide range of items applicable to fatigue evaluation to form a basic scale;

[0048] Perform screening processing on the items in the basic scale to form an initial scale; the screening processing includes adjusting the expression and arrangement order of the items in the basic scale, merging duplicate items, deleting items irrelevant to the research object, and adding items related to high-altitude operations.

[0049] Further, the intermediate scale establishment module specifically performs the following steps:

[0050] Calculate the discrimination degree of each item in the initial scale using the critical ratio method;

[0051] Determine the discrimination degree of the item by statistically calculating the sig value through the independent t-test method;

[0052] Use the discrimination degree to judge each item. If the t-value of an item is significant, it indicates that the item has discrimination degree and is a qualified item; otherwise, it is an unqualified item and is deleted.

[0053] Use the method of homogeneity test to test the initial scale after deleting an unqualified item; in the initial scale, if the reliability coefficient of the remaining initial scale is greater than or equal to that of the initial scale after continuing to delete an item, then delete the item to form an intermediate scale.

[0054] Further, when forming the final scale, the fatigue measurement basic model construction module performs the following steps:

[0055] Calculate the Cronbach's α coefficient, and use the Cronbach's α coefficient to conduct a reliability test on the stability and internal consistency of each part in the intermediate scale;

[0056] Conduct a validity test on the intermediate scale by calculating the KMO value of each item in the intermediate scale and the approximate chi-square value of the Bartlett spherical test;

[0057] If the intermediate scale after testing meets the preset requirements of reliability and validity, directly form the final scale; if the intermediate scale after testing does not meet the preset requirements of reliability and validity, then give feedback for modification until the final scale is formed after meeting the preset requirements of reliability and validity;

[0058] When constructing the fatigue measurement basic model, the fatigue measurement basic model construction module performs the following steps:

[0059] Use the methods of principal component analysis and varimax rotation to perform dimensionality reduction processing on the items in the intermediate scale that have passed the reliability and validity tests;

[0060] Conduct a test on the dimensional structure of the fatigue measurement factors in the intermediate scale after dimensionality reduction processing, and construct a fatigue measurement basic model after passing the test;

[0061] Verify the fitting degree of the fatigue measurement basic model with the numerical values; the fitting indicators used for verifying the fitting degree of the fatigue measurement basic model with the numerical values include: chi-square to degrees of freedom ratio, root mean square error of approximation, normed fit index, comparative fit index, incremental fit index, and relative fit index; if the indicators exceeding the set proportion in the fitting indicators are all within the acceptable range, it is considered that the fatigue measurement basic model has good goodness of fit.

[0062] Fourthly, the present invention proposes an electronic device, including a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete mutual communication through the communication bus;

[0063] The memory stores a computer program;

[0064] A processor, when executing a program stored in a memory, implements the evaluation method for fatigue measurement in high-altitude exploration operations.

[0065] In a fourth aspect, the present invention proposes a computer-readable storage medium storing a computer program, and when the computer program is run, it executes the evaluation method for fatigue measurement in high-altitude exploration operations.

[0066] Advantages of the present invention:

[0067] The present invention first forms a Likert initial scale based on the Likert scale. This scale is a unified standardized grading system and mode, providing a formally standardized document for the data processing program of the subsequent analysis device. Then, by analysis, unqualified items are deleted to form an intermediate scale, which has high feasibility. Then, by verifying the intermediate scale and continuously modifying through feedback, a fatigue scale for high-altitude exploration operations with high credibility and feasibility is finally obtained. And this method also uses a unified program to collect data and then uses a standardized method for statistical analysis, making up for the shortcomings of previous studies that are difficult to quantify and cannot be compared horizontally.

[0068] Other features and advantages of the present invention will be described in the subsequent specification, and part of them will become obvious from the specification or be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures pointed out in the specification, claims, and drawings. Description of the Drawings

[0069] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0070] Figure 1 Shows a flowchart of an evaluation method for fatigue measurement in high-altitude exploration operations proposed by the present invention;

[0071] Figure 2 Shows a computer page diagram of a computer with SPSS statistical analysis software in an embodiment of the present invention;

[0072] Figure 3 Shows a path coefficient diagram between specific indicators of a fatigue measurement basic model obtained in an embodiment of the present invention;

[0073] Figure 4 Shows a diagram of an electronic device in an embodiment of the present invention. Specific Embodiment

[0074] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0075] As Figure 1 shown, the present invention provides an evaluation method for fatigue measurement in high-altitude exploration operations, including the following steps:

[0076] S1: Establish an initial scale for fatigue measurement of high-altitude exploration operation personnel based on the Likert five-point scale;

[0077] S2: Conduct item analysis on the initial scale, and delete unqualified items to form an intermediate scale;

[0078] S3: Conduct reliability and validity tests on the intermediate scale and revise it through feedback to form a final scale, and construct a basic fatigue measurement model;

[0079] S4: Calculate the original score and standard score using the basic fatigue measurement model, and evaluate the fatigue degree of the subject in the form of the standard score.

[0080] In step S1, establishing an initial scale for fatigue measurement of high-altitude exploration operation personnel based on the Likert five-point scale includes the following steps:

[0081] S11: Select a wide range of items suitable for fatigue evaluation to form a basic scale; for example, the items of the Fatigue Scale-14 (FS-14), Fatigue Assessment Inventory (FAI), and Fatigue Symptom Assessment Scale (FSAS) can be retrieved and summarized to form a basic scale;

[0082] S12: Screen the items in the basic scale to form a basic scale; the screening forms include: adjusting the expression and arrangement order of the items, merging duplicate items, deleting items not relevant to the research object, and adding items related to high-altitude operations, and finally forming an initial scale that meets the requirements; in an embodiment of the present invention, the initial scale contains 15 items.

[0083] In step S2, conducting item analysis on the initial scale and deleting unqualified items to form an intermediate scale specifically includes the following steps:

[0084] S21: Taking the high-altitude exploration workers as the research object, obtaining the basic fatigue data of high-altitude exploration operations, and conducting preliminary screening and preprocessing on the collected basic fatigue data to exclude outliers and questionnaire data with missing values;

[0085] In an exemplary embodiment of the present invention, the initial scale includes two parts: the first part collects the personal characteristic information of the subjects, including but not limited to the gender, age, and working years of the subjects; the second part includes 15 job fatigue questions in 3 dimensions, which are respectively used to measure the physical fatigue, mental fatigue, and fatigue situation of the subjects. All items are measured using a five-point Likert scale, where 0 means completely disagree; 1 means somewhat agree; 2 means half agree; 3 means mostly agree; 4 means completely agree.

[0086] In an embodiment of the present invention, the determined standardized questionnaire template is shown in Table 1. Table 1 is only one example, and specific adjustments can be made according to the actual situation.

[0087] Table 1 Division of scale dimensions and items

[0088]

[0089] S22: Obtaining the t-value of each item in the initial scale; specifically, using the critical ratio method (CR) and the method of homogeneity test to calculate the discrimination of each item in the initial scale, as follows:

[0090] Summarize the scores of the initial scale, arrange them in descending order of the total score, include the top 27% of the total scores in the high-score group, and include the bottom 27% of the total scores in the low-score group;

[0091] Through the independent t-test method, statistically determine the value of sig. to determine the discrimination of this item. If the t-value is significant (i.e., the value of sig. is less than 0.05), it indicates that this item has discrimination and this item is a qualified item; otherwise, it means that the discrimination of this item is poor and the design is unreasonable and should be deleted. The homogeneity test requires that after removing a certain item, the reliability coefficient (α value) of the total scale should decrease. If it is greater than or equal to the original scale, it is considered that this item is inconsistent with the total scale and consider deleting the item, indicating that the reliability of the remaining items is qualified.

[0092] In an embodiment of the present invention, a computer with SPSS statistical analysis software (such as Figure 2 shown) is used to calculate the t-values of the initial items, as shown in Table 2:

[0093] Table 2 Discrimination data table of initial items

[0094]

[0095]

[0096] As can be seen from Table 2, all 15 items in the initial scale have good discrimination and are qualified items that can be retained. The above table only shows one situation, that is, all item in the initial scale are qualified items. In some other embodiments of the present invention, there will still be some unqualified items in the initial scale.

[0097] S23: Delete the obtained unqualified items and obtain an intermediate scale, forming an intermediate scale with the number of items less than or equal to the number of items in the initial scale.

[0098] In step S3, perform reliability and validity tests on the intermediate scale and modify it through feedback to form a final scale. The steps for constructing the basic fatigue measurement model include the following:

[0099] S31: Conduct an internal consistency reliability test on the intermediate scale, specifically:

[0100] Calculate the Cronbach's α coefficient of the intermediate scale and set the judgment value of the Cronbach's α coefficient, and judge the reliability of the intermediate scale according to the judgment value. In an exemplary embodiment of the present invention, if the Cronbach's α coefficient < 0.6, it indicates that the reliability of the scale is very poor and cannot be accepted; if 0.6 ≤ Cronbach's α coefficient < 0.7, it indicates that the reliability of the scale is relatively poor; if 0.7 ≤ Cronbach's α coefficient < 0.8, it indicates that the reliability of the scale is average; if the Cronbach's α coefficient ≥ 0.8, it indicates that the reliability of the intermediate scale is very high and can be accepted.

[0101] In an exemplary embodiment of the present invention, reliability analysis is performed on each fatigue measurement factor respectively. The results are shown in Table 3. The reliability analysis shows that the reliability coefficients of each fatigue measurement factor are all above 0.8, indicating that the structure of each part of the questionnaire is good; the overall questionnaire reliability coefficient value is greater than 0.9, indicating that the internal consistency of this questionnaire is quite good.

[0102] Table 3 Reliability Analysis Results

[0103] Reliability coefficient Physical fatigue Mental fatigue Situational fatigue Total score Cronbach's value 0.882 0.916 0.943 0.932

[0104] S32: Test the validity of each item in the intermediate scale, specifically: By testing the KMO value and the approximate chi-square value of the Bartlett spherical test for each item in the intermediate scale, the adopted KMO measurement criteria are as follows: If the KMO value > 0.9, the validity structure is considered significant, 0.8 - 0.9 is considered good, 0.7 - 0.8 is considered acceptable, 0.5 - 0.7 is considered barely acceptable, and less than 0.5 is considered unacceptable.

[0105] In an embodiment of the present invention, the KMO value of the obtained intermediate scale is 0.869, the approximate chi-square value of the Bartlett spherical test is 1448.447, and it reaches the 0.05 significant level. The results are shown in Table 4. Therefore, it can be determined that there is a certain connection between different variables of this scale.

[0106] Table 4 Results of KMO and Bartlett Sphericity Test

[0107]

[0108] S33: Conduct a factor analysis test on the intermediate scale, specifically: perform factor analysis through the principal component analysis method and conduct the maximum variance rotation method to reduce the dimension of the items in the intermediate scale. Each item should have a high loading value on one of the common factors, that is, the loading value is not less than 0.4, and a low loading value on other common factors, that is, there is no factor crossing phenomenon.

[0109] In an embodiment of the present invention, using the principal component analysis method in SPSS software for factor analysis and conducting the maximum variance rotation method to reduce the dimension of 15 job fatigue items involved in the questionnaire, which ensures that the effects of various fatigue measurement factors on high-altitude exploration job fatigue can be studied, but it will not be too complicated due to too many indicators. The data after reducing the dimension of 15 job fatigue items are shown in Table 5:

[0110] Table 5 Factor Analysis Results

[0111]

[0112] S34: Test the dimensional structure of the fatigue measurement factors in the intermediate scale, and then construct a basic fatigue measurement model. Analyze the path coefficients between various indicators through the statistical software AMOS Graphics, and obtain the fitting parameters to judge the credibility of the structure;

[0113] In an embodiment of the present invention, in order to clearly verify the fitting degree of the basic fatigue measurement model, some common fitting parameters such as x 2 / Df, RMSEA, NFI, CFI, IFI, RFI, etc. are used for judgment. Among them, the chi-square degree of freedom ratio x 2 / Df reflects the chi-square value per degree of freedom. The smaller this value is, the better the model fit. The NFI index is the incremental fit index, which is obtained by comparing the boundary values or degrees of freedom of the theoretical model with those of the baseline model. This index reflects the incremental fit of the theoretical model, and its value ranges from 0 to 1. The larger the value, the better the fitness. A value between 0.8 and 0.9 is considered reasonable, and a value of 0.9 or higher is considered evidence of a good fit. The CFI is the comparative fit index of the model, and its value ranges from 0 to 1. A value of 0.9 or higher indicates a good model fit. The RMSEA is the root mean square error of approximation coefficient, which is not affected by the sample size and model complexity. A smaller RMSEA index indicates a better model fit. A value below 0.1 can be regarded as an ideal model, and a value greater than 0.3 indicates an unsatisfactory model. Specific examples of the fitting parameter indicators are shown in Table 6 as follows:

[0114] Table 6 Results of Fitting Parameter Indicators

[0115] Structural model Df <![CDATA[x 2 > <![CDATA[x 2 / Df]]> RMSEA NFI CFI IFI RFI Fatigue measurement scale 87 220.96 2.54 0.116 0.855 0.906 0.907 0.825 Reference standard <3 <0.3 >0.9 >0.9 >0.9 >0.9

[0116] It can be obtained from Table 6 that the chi-square to degree of freedom ratio is less than 3, the CFI and IFI values are both greater than 0.9. These indicators all meet the standard requirements of good goodness of fit. The RMSEA value of the model is slightly higher than 0.1 but less than 0.3, and the NFI and RFI values are greater than 0.8. Most of the fitting indicators are within the acceptable range. Therefore, it is considered that the basic fatigue measurement model has good goodness of fit, and the data fits well with the model.

[0117] S35: If the tested intermediate scale meets the preset requirements of reliability and validity, the final scale is directly formed. If the tested intermediate scale does not meet the preset requirements of reliability and validity, feedback and modification are carried out until the preset requirements of reliability and validity are met, and then the final scale is formed.

[0118] In the embodiment of the present invention, since the reliability and validity of the intermediate scale are both relatively high, it can be accepted, and the above-mentioned intermediate scale can be directly output to form the final scale, as shown in Table 7:

[0119] Table 7 Final Scale

[0120]

[0121]

[0122] In step S4, the obtained basic fatigue measurement model is used to calculate the original score and the standard score. The steps for evaluating the fatigue degree of the subject in the form of the standard score are as follows:

[0123] S41: Construct the path coefficients between the specific indicators in the basic fatigue measurement model. In an embodiment of the present invention, the specific indicator path coefficients constructed in the basic fatigue measurement model are asFigure 3 As shown, this figure is the model fitting effect diagram constructed according to the scale dimensions. In the figure, A, B, and C respectively represent the items of physical fatigue, mental fatigue, and fatigue situation, e is the residual term, and the values are the correlation coefficients between the dimensions and between the dimensions and the items.

[0124] In this embodiment, the physical fatigue factor, mental fatigue factor, fatigue situation factor, and overall fatigue are calculated to obtain the original scores and standard scores. Descriptive statistical analysis is performed on the obtained fatigue data. The evaluation results of each dimension of the final scale are shown in Tables 8 and 9 as follows:

[0125] Table 8 Average standard scores of each dimension of the final scale

[0126] Physical fatigue Mental fatigue Situational fatigue Overall fatigue Mean value 43.75 46.80 49.08 45.69 Standard deviation 17.81 18.96 21.04 17.07

[0127] Table 9 Fatigue level classification table for operators

[0128]

[0129] From Table 8, it can be obtained that the overall fatigue score of high-altitude exploration operators is 45.69 ± 17.07, being in a moderate fatigue state. The average values of the operators in the three dimensions of physical fatigue, mental fatigue, and fatigue situation are 43.75 ± 17.81, 46.80 ± 18.96, and 49.08 ± 21.04 respectively. At the same time, according to the fatigue level classification table in Table 9, it can be seen that more than 60% of the operators are in a moderate fatigue state.

[0130] The said fatigue level classification is carried out according to the standard scores of the three dimensions of physical fatigue, mental fatigue, and fatigue situation and the overall fatigue. In an embodiment of the present invention, the specific fatigue levels and the corresponding score ranges are as follows:

[0131] 1) Physical fatigue, mental fatigue, fatigue situation

[0132] Not obvious: <6 points; Mild: 6 - 40 points; Moderate: 41 - 80 points; Severe: 81 - 100 points;

[0133] 2) Overall fatigue

[0134] Not obvious: <3 points; Mild: 3 - 40 points; Moderate: 41 - 80 points; Severe: 81 - 100 points.

[0135] The original scores and standard scores are calculated by using the said fatigue measurement basic model. Finally, the fatigue degree of the subject is evaluated in the form of standard scores; the standard score ranges of each fatigue factor and the overall fatigue degree are all 0 - 100. The original score of each fatigue factor and the overall fatigue degree of the scale is the arithmetic sum of the scores of each item. The calculation method of the standard score is as follows:

[0136] Standard score of physical fatigue = 100×(raw score / 16)

[0137] Standard score of mental fatigue = 100×(raw score / 28)

[0138] Standard score of fatigue situation = 100×(raw score / 16)

[0139] Standard score of overall fatigue = 100×(raw score / 44)

[0140] The evaluation method for fatigue measurement in high-altitude exploration operations of the present invention can form a fatigue measurement scale for high-altitude exploration operations with high credibility and feasibility, and perform statistical analysis using a standardized method. The obtained results make up for the shortcomings of previous studies that are difficult to quantify and cannot be compared horizontally. At the same time, it can more truly and accurately reflect the fatigue level of the operating population in a certain plateau area and further deeply analyze its influencing factors, so as to formulate fatigue intervention measures adapted to local conditions.

[0141] Based on the same inventive concept, the present invention also proposes an evaluation system for fatigue measurement in high-altitude exploration operations, including:

[0142] An initial scale establishment module for establishing an initial scale for fatigue measurement of high-altitude exploration operation personnel based on the Likert five-point scale;

[0143] An intermediate scale establishment module for performing item analysis on the initial scale and forming an intermediate scale after deleting unqualified items;

[0144] A fatigue measurement basic model construction module for performing reliability and validity tests on the intermediate scale and forming a final scale through feedback modification, and constructing a fatigue measurement basic model;

[0145] A fatigue degree evaluation module for calculating the raw score and standard score using the fatigue measurement basic model and evaluating the fatigue degree of the subject in the form of the standard score.

[0146] Further, the initial scale establishment module specifically performs the following steps:

[0147] Retrieving and summarizing a wide range of items applicable to fatigue evaluation to form a basic scale;

[0148] Screening and processing the items in the basic scale to form an initial scale; the screening and processing include adjusting the expression and arrangement order of the items in the basic scale, merging duplicate items, deleting items irrelevant to the research object, and adding items related to high-altitude operations;

[0149] The initial scale includes two parts: the first part includes the gender, age, and working years of the subject;

[0150] The second part includes the response data of the subjects to a number of items; the items are used to measure the physical fatigue level, mental fatigue level and fatigue situation of the subjects; all items are measured using a five-point Likert scale.

[0151] Further, the intermediate scale establishment module specifically performs the following steps:

[0152] Calculate the discrimination of each item in the initial scale using the critical ratio method;

[0153] Determine the discrimination of the item by statistically calculating the sig value through the independent t-test method;

[0154] Judge each item using the discrimination. If the t-value of an item is significant, it indicates that the item has discrimination and is a qualified item; otherwise, it is an unqualified item and is deleted;

[0155] Use the method of homogeneity test to test the initial scale after deleting an unqualified item. If the reliability coefficient of the remaining initial scale is greater than or equal to the initial scale after deleting an item, then delete the item to form an intermediate scale.

[0156] Further, when forming the final scale, the fatigue measurement basic model construction module performs the following steps:

[0157] Calculate the Cronbach's α coefficient, and use the Cronbach's α coefficient to conduct a reliability test on the stability and internal consistency of each part in the intermediate scale;

[0158] Conduct a validity test on the intermediate scale by calculating the KMO value of each item in the intermediate scale and the approximate chi-square value of the Bartlett spherical test;

[0159] If the intermediate scale passing the test meets the pre-set requirements of reliability and validity, directly form the final scale. If the intermediate scale passing the test does not meet the pre-set requirements of reliability and validity, then give feedback for modification until the pre-set requirements of reliability and validity are met and then form the final scale.

[0160] Further, when constructing the fatigue measurement basic model, the fatigue measurement basic model construction module performs the following steps:

[0161] Use the methods of principal component analysis and varimax rotation to perform dimensionality reduction processing on the items in the intermediate scale passing the reliability and validity tests;

[0162] Conduct a test on the dimensional structure of the fatigue measurement factors in the intermediate scale after dimensionality reduction processing. After passing the test, construct the fatigue measurement basic model;

[0163] Verify the fitting degree between the basic fatigue measurement model and the numerical values; the fitting indexes used for verifying the fitting degree between the basic fatigue measurement model and the numerical values include: chi-square degree of freedom ratio, root mean square of approximation error, standardized fitting index, comparative fitting index, incremental fitting index, and relative fitting index; if the indexes exceeding the set proportion in the fitting indexes are all within the acceptable range, it is considered that the basic fatigue measurement model has good goodness of fit.

[0164] Furthermore, the calculation method of the standard score in the fatigue degree evaluation module is as follows:

[0165] The standard score of physical fatigue = 100×(original score / n1);

[0166] The standard score of mental fatigue = 100×(original score / n2);

[0167] The standard score of fatigue situation = 100×(original score / n3);

[0168] The standard score of overall fatigue = 100×(original score / n4);

[0169] Wherein, n1, n2, n3, and n4 are the scores of the physical fatigue, mental fatigue, fatigue situation, and overall fatigue of the subject respectively, and the original score is the arithmetic sum of the scores of each item in the final scale.

[0170] Based on the same inventive concept, another exemplary embodiment of the present invention provides an electronic device. As Figure 4 shown, the electronic device includes at least one processor 401, at least one communication interface 402, at least one memory 403, and at least one communication bus 404; wherein, the processor 401, the communication interface 402, and the memory 403 complete communication with each other through the communication bus 404;

[0171] The memory 403 stores a computer program;

[0172] The processor 401, when executing the program stored in the memory 403, implements the evaluation method for high-altitude exploration operation fatigue measurement.

[0173] Optionally, the communication interface may be the interface of a communication module, such as the interface of a GSM module; the processor may be a processor CPU, or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. The memory may include high-speed RAM memory and may also include non-volatile memory, such as at least one disk memory. Among them, the memory stores a program, and the processor invokes the program stored in the memory to execute some or all of the above method embodiments.

[0174] Based on the same inventive concept, an embodiment of the present application further provides a computer-readable storage medium storing a computer program, which, when run, implements some or all of the above method embodiments. Optionally, the storage medium may be a non-transitory computer-readable storage medium. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage devices, etc.

[0175] Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An evaluation method for fatigue measurement in high-altitude exploration operations, characterized in that, it includes the following steps: Establish an initial scale for fatigue measurement of high-altitude exploration workers based on the Likert five-point scale; Conduct item analysis on the initial scale, and delete unqualified items to form an intermediate scale; Conduct reliability and validity tests and feedback modifications on the intermediate scale to form a final scale, and construct a basic fatigue measurement model; Use the basic fatigue measurement model to calculate the original score and standard score, and evaluate the fatigue degree of the subject through the form of the standard score.

2. The evaluation method for fatigue measurement in high-altitude exploration operations according to claim 1, characterized in that, The establishment of the initial scale for fatigue measurement of high-altitude exploration workers based on the Likert five-point scale includes the following steps: Retrieve and summarize a wide range of items applicable to fatigue evaluation to form a basic scale; Screen the items in the basic scale to form an initial scale.

3. The evaluation method for fatigue measurement in high-altitude exploration operations according to claim 2, characterized in that, The screening process includes: Adjust the expression and arrangement order of the items in the basic scale, merge duplicate items, delete items irrelevant to the research object, and add items related to high-altitude operations.

4. The evaluation method for fatigue measurement in high-altitude exploration operations according to any one of claims 1-3, characterized in that, The initial scale includes two parts: The first part includes the gender, age, and working years of the subject; The second part includes the response data of the subject to a number of items; the items are used to measure the physical fatigue degree, mental fatigue degree, and fatigue situationality of the subject; all items are measured using a five-point Likert scale.

5. The evaluation method for fatigue measurement in high-altitude exploration operations according to claim 1, characterized in that, Conduct item analysis on the initial scale, and delete unqualified items to form an intermediate scale, including the following steps: Calculate the discrimination of each item in the initial scale using the critical ratio method; Through the independent t-test method, statistically determine the discrimination of the item by the sig value; Use the discrimination to judge each item. If the t-value of an item is significant, it indicates that the item has discrimination and is a qualified item; otherwise, it is an unqualified item to be deleted; Use the method of homogeneity test to test the initial scale after deleting an unqualified item; in the initial scale, if the reliability coefficient of the remaining initial scale is greater than or equal to the initial scale after continuing to delete an item, then delete the item to form an intermediate scale.

6. The evaluation method for fatigue measurement in high-altitude exploration operations according to claim 1, characterized in that, Conduct reliability and validity tests on the intermediate scale, including the following steps: Calculate the Cronbach α coefficient, and use the Cronbach α coefficient to conduct a reliability test on the stability and internal consistency of each part in the intermediate scale; Conduct a validity test on the intermediate scale by calculating the KMO value of each item in the intermediate scale and the approximate chi-square value of the Bartlett spherical test.

7. The evaluation method for fatigue measurement in high-altitude exploration operations according to claim 1, characterized in that, the construction of the basic fatigue measurement model includes the following steps: Dimensionality reduction processing is performed on the items in the intermediate scale that have passed the reliability and validity tests by using the methods of principal component analysis and varimax rotation; The dimensional structure of the fatigue measurement factors in the intermediate scale after dimensionality reduction processing is tested, and the basic fatigue measurement model is constructed after passing the test; The goodness of fit of the basic fatigue measurement model is tested, the path coefficients between various indicators are analyzed, and the fitting parameters are obtained to judge the credibility of the basic fatigue measurement model.

8. The evaluation method for fatigue measurement in high-altitude exploration operations according to claim 7, characterized in that, The fitting indicators used to verify the goodness of fit between the basic fatigue measurement model and the numerical values include: Chi-square degree of freedom ratio, root mean square error of approximation, normed fit index, comparative fit index, incremental fit index, and relative fit index; If the indicators exceeding the set proportion in the fitting indicators are all within the acceptable range, it is considered that the basic fatigue measurement model has good goodness of fit.

9. The evaluation method for fatigue measurement in high-altitude exploration operations according to claim 6, characterized in that, The steps for forming the final scale by feedback modification of the intermediate scale include: If the intermediate scale that has passed the test meets the preset requirements of reliability and validity, the final scale is directly formed; if the intermediate scale that has passed the test does not meet the preset requirements of reliability and validity, feedback modification is performed until the final scale is formed after meeting the preset requirements of reliability and validity.

10. The evaluation method for fatigue measurement in high-altitude exploration operations according to claim 1, characterized in that, The original score and the standard score are calculated by using the basic fatigue measurement model, and finally the fatigue degree of the subject is evaluated in the form of the standard score; the calculation method of the standard score is as follows: The standard score of physical fatigue = 100×(original score / n1); The standard score of mental fatigue = 100×(original score / n2); The standard score of fatigue situation = 100×(original score / n3); The standard score of overall fatigue = 100×(original score / n4); wherein, n1, n2, n3, and n4 are respectively the scores of the subject's physical fatigue, mental fatigue, fatigue situation, and overall fatigue, and the original score is the arithmetic sum of the scores of each item in the final scale.

11. An evaluation system for fatigue measurement in high-altitude exploration operations, characterized in that, it includes: An initial scale establishment module for establishing an initial scale for fatigue measurement of high-altitude exploration operation personnel based on the Likert five-point scale; An intermediate scale establishment module for performing item analysis on the initial scale and forming an intermediate scale after deleting unqualified items; A basic fatigue measurement model construction module for performing reliability and validity tests and feedback modification on the intermediate scale to form a final scale and constructing a basic fatigue measurement model; A fatigue degree evaluation module for calculating the original score and the standard score by using the basic fatigue measurement model and evaluating the fatigue degree of the subject in the form of the standard score.

12. The evaluation system for fatigue measurement in high-altitude exploration operations according to claim 11, characterized in that, the initial scale establishment module specifically performs the following steps: Retrieve and summarize a wide range of items applicable to fatigue evaluation to form a basic scale; Screen the items in the basic scale to form an initial scale; the screening process includes adjusting the expression and arrangement order of the items in the basic scale, merging duplicate items, deleting items irrelevant to the research object, and adding items related to high-altitude operations.

13. The evaluation system for fatigue measurement in high-altitude exploration operations according to claim 11, characterized in that, the intermediate scale establishment module specifically performs the following steps: Calculate the discrimination of each item in the initial scale using the critical ratio method; Determine the discrimination of the item by statistically calculating the sig value through the independent t-test method; Judge each item using the discrimination. If the t-value of an item is significant, it indicates that the item has discrimination and is a qualified item; otherwise, it is an unqualified item and is deleted; Use the method of homogeneity test to test the initial scale after deleting an unqualified item; in the initial scale, if the reliability coefficient of the remaining initial scale is greater than or equal to the initial scale after continuing to delete an item, then delete the item to form an intermediate scale.

14. The evaluation system for fatigue measurement in high-altitude exploration operations according to claim 11, characterized in that, when the fatigue measurement basic model construction module forms the final scale, it performs the following steps: Calculate the Cronbach's α coefficient, and use the Cronbach's α coefficient to conduct a reliability test on the stability and internal consistency of each part in the intermediate scale; Conduct a validity test on the intermediate scale by calculating the KMO value of each item in the intermediate scale and the approximate chi-square value of the Bartlett spherical test; If the tested intermediate scale meets the preset requirements of reliability and validity, directly form the final scale. If the tested intermediate scale does not meet the preset requirements of reliability and validity, feedback and modify it until the preset requirements of reliability and validity are met and then form the final scale; when the fatigue measurement basic model construction module constructs the fatigue measurement basic model, it performs the following steps: Use the methods of principal component analysis and maximum variance rotation to perform dimensionality reduction processing on the items in the intermediate scale that have passed the reliability and validity tests; Conduct a dimensional structure test on the fatigue measurement factors in the intermediate scale after dimensionality reduction processing, and construct a fatigue measurement basic model after passing the test; Verify the fitting degree of the fatigue measurement basic model with the values; The fitting indexes used for verifying the fitting degree of the fatigue measurement basic model with the values include: chi-square degree of freedom ratio, root mean square error of approximation, normed fit index, comparative fit index, incremental fit index, and relative fit index; If the indexes exceeding the set proportion in the fitting indexes are all within the acceptable range, it is considered that the fatigue measurement basic model has good goodness of fit.

15. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete their mutual communication through the communication bus; The memory stores a computer program; The processor is used to implement the evaluation method for fatigue measurement in high-altitude exploration operations described in any one of claims 1-10 when executing the program stored in the memory.

16. A computer-readable storage medium stores a computer program, characterized in that, when the computer program is run, it executes the evaluation method for fatigue measurement in high-altitude exploration operations described in any one of claims 1-10.

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