CN115644829A - A Mine Rescue Team Entry Evaluation System - Google Patents

Abstract

The invention relates to the technical field of psychological measurement, in particular to a mine rescue team member attendance evaluation system which comprises a data acquisition module, a psychological measurement module, a score statistics module and a data analysis module. According to the invention, professional talents suitable for mine rescue careers are screened according to the comprehensive assessment conclusion of the tested person, the physical signs and the psychological characteristics of the screened tested person have high relevance with the career characteristics of mine rescue, so that the personnel can adapt to mine rescue daily training and simulated actual combat drilling after entering the job, in addition, the influence on mine rescue work due to excessive stress reaction in a dangerous underground safety accident rescue environment is avoided, simultaneously, the post-disaster psychological health recovery process can be accelerated, and the psychological trauma of rescue finger fighters is avoided.

Description

A Mine Rescue Team Entry Evaluation System

technical field

The invention relates to the technical field of psychological measurement, in particular to a mine rescue team entry evaluation system.

Background technique

Mine rescue team members should conduct daily training and simulated actual combat exercises after entering the job. The purpose is to enable the rescue team members to have sufficient physical fitness and be able to undertake the heavy physical work in the mine safety production accident rescue process. The second is to enable the rescue team members to gradually adapt to the mine. The professional environment of ambulance enables it to maintain the ability to work normally in a stressful environment. During the handling of mine safety production accidents, mine rescue officers and fighters are often exposed to dangerous and harsh environments such as explosions, high temperatures, water intrusions, roof falls, and toxic and harmful gases. Tragic distress victims, these dangerous, harsh environments and cruel scenes will cause mine rescue officers and fighters to lose their psychological balance and produce emotions such as tension, impatience, fear, anger, and boredom. In serious cases, they may lose their normal rescue capabilities. Commanders and fighters have higher requirements for psychological characteristics.

Psychological traits are unique, unified and constant. Once formed, no matter what things or people they face, they will have unified behavior. Therefore, the psychological measurement based on this characteristic can indirectly measure the psychological characteristics of the testee, select talents suitable for the mine rescue profession, and realize the advancement of safety investigation. However, the existing mine rescue entry evaluation method does not apply the combination of psychological measurement and physical characteristics for talent selection, which restricts the healthy and sustainable development of mine rescue teams. Therefore, there is an urgent need for a psychological measurement method suitable for the mine rescue profession, so as to provide a basis for the mine rescue team to select talents who are suitable for the mine rescue profession.

Contents of the invention

The technical problem to be solved by the present invention is to provide a mine rescue team entrance evaluation system capable of selecting talents according to the characteristics of the mine rescue profession.

The basic solution provided by the present invention: a mine rescue team entry evaluation system, including a physical sign data collection module, a psychological measurement module, a score statistics module, and a data analysis module;

The data collection module is used to collect the basic information and sign data of the subject;

The psychometric module includes an answer module and an answer option quantification standard sub-module; the answer module is used for the subject to select a corresponding option to answer according to the topic; the answer option quantification standard sub-module is used for answering the option according to the subject converted to a standard score;

The score statistics module includes a sign data statistics module and a psychometric data statistics module;

The data analysis module is used to draw an evaluation conclusion according to the results obtained by the sign data statistics module and the psychological measurement data statistics module.

The principle and advantages of the present invention are: the scheme reflects the physical health status of the subject through the physical sign data of the subject, and indirectly reflects the information capture ability, situation research and judgment ability, emotion and behavior control ability of the subject through the psychological measurement data. This assessment assesses whether the candidate is suitable for mine rescue work. Its advantage is that it solves the technical problem of "stuck neck" in the assessment of psychological ability in the process of talent selection for mine rescue teams; the talents selected through this program have the physical and psychological qualities suitable for the mine rescue profession, and can quickly adapt to mine rescue The team's daily training and actual combat simulation drills; the physical sign data and psychometric data involved in this program can provide a reference for carrying out targeted training after joining the job, and can also provide data support for the establishment of physical and mental health management files for mine rescue team commanders and fighters.

The data acquisition module includes the information and physical signs of the subjects. Subject information includes name, age, and marital status; physical signs include height, weight, heart rate, blood pressure, blood oxygen, and vital capacity;

The score statistics module includes a sign data statistics module and a psychometric data statistics module. The sign data statistical module includes a statistical model of height and weight, a statistical model of heart rate, a statistical model of blood pressure, a statistical model of blood oxygen, and a statistical model of vital capacity;

Specifically, the statistical model of height and weight is based on the height (H, cm) and weight (W, kg) data of the subject to calculate the score ( _Znatural ): _Znatural =5-|(W-H+105) |/(0.04H-4.2) (when Z _is <1, Z is _naturally = 0);

The heart rate statistical model is based on the heart rate (Hr, times/min) of the subject to calculate the score (Z _heart ), Z _heart =5-|(Hr-80)|/5 (when Z _heart <1, take Z _heart = 0);

The statistical model of blood pressure is calculated by the systolic blood pressure score (Z _SBP ) and the diastolic blood pressure score (Z _DBP ) to obtain the score (Z _{blood pressure} ), Z _{blood pressure} = (Z _SBP + Z _DBP )/2, the systolic blood pressure The score (Z _SBP ) is calculated from the subject's systolic blood pressure (S _BP , mmHg), Z _SBP =5-|(S _BP -105)|/3.75 (when Z _SBP <1, Z _SBP =0) ; The diastolic blood pressure score (Z _DBP ) is calculated from the subject's diastolic blood pressure (DB _BP , mmHg), Z _DBP =5-|( _DBP -70)|/2.5 (when Z _DBP <1, take Z _DBP = 0);

The blood oxygen statistical model is based on the blood oxygen saturation (B _o ) of the subject to calculate the score (Z _{blood oxygen} ), Z _{blood oxygen} =5-|(B _o -90)|/2.5 (when Z _{blood oxygen} < 1, take Z _{blood oxygen} = 0);

The lung capacity statistical model is calculated by the subject's lung capacity (V _c , ml) to obtain the score (Z _lung ), Z _lung =5-|(B _o -4000)|/500 (when B _o ≧4000, take Z _lung =5; when B _o <2000, take Z _lung =0);

According to the calculation results of the above model, the sign evaluation data (A _sign ) was obtained. A _sign = (Z _nature + Z _heart + Z _{blood pressure} + Z _{blood oxygen} + Z _lung ) / 5 (when Z _nature × Z _heart × Z _{blood pressure} × Z _{blood oxygen} × Z _lung = 0, take A _sign = 0).

The psychometric data statistical module obtains corresponding measurement scores of personality traits, cognitive ability, emotional management ability, and behavior control ability according to the response scores.

The psychometric module includes an answer module, a score statistics module, and a data analysis module. The answer module is that the score statistics module quantifies the test questions answered by the subject according to the standard score algorithm, and the data analysis module The module is to analyze the physiological characteristics and psychological characteristics of the subjects according to the measurement;

Specifically, in order to ensure the accuracy of the data, the data acquisition module in this embodiment is obtained through manual input and biofeedback device measurement. Coal mine underground low space environment; physiological index data are used to reflect the physical condition of the testee, so as to evaluate whether the physical condition of the testee can adapt to the daily training of the mine rescue team, simulated disaster relief drills and underground rescue. Described answering module is to realize by test questions, and the answering module among the present embodiment comprises the structural analysis module among the items, and the structural analysis module among the items comprises the item structure analysis model, and the item structure analysis model comprises four steps: According to the psychometric basic theory and Relevant literature establishes an item pool; establishes the structural relationship between items; analyzes the relevance and error of items; determines the test questions. The score statistics module is realized through the score statistics model after the quantified standard scores obtained according to the response options. The score statistics model is composed of two parts, including a statistical model of physical signs data and a statistical model of psychological measurement data. The statistical model of the sign data includes a statistical model of height and weight, a statistical model of heart rate, a statistical model of blood pressure, a statistical model of blood oxygen, and a statistical model of vital capacity. The sign evaluation data is obtained according to the statistical model of the sign data.

The data analysis module draws an evaluation pentagon according to the above statistical results, as shown in FIG. 2 . According to the area of the pentagon, the evaluation conclusion is drawn, and the evaluation conclusion is whether the tested person is suitable for the mine rescue occupation, including unsuitable, basically suitable and suitable.

Specifically, as shown in Figure 2, the data analysis module includes a data analysis model. The data analysis model is composed of a sign axis, a personality trait axis, a cognitive ability axis, an emotional management axis, and a behavior control axis. Data, cognitive ability response data, emotional management ability response data, and behavior control ability response data determine the coordinate points on the corresponding axes, and the area of the pentagon obtained by connecting each point is the comprehensive evaluation score, and the evaluation conclusion is drawn based on the comprehensive evaluation score; The evaluation conclusion is: the comprehensive assessment score is greater than or equal to 0 and less than 9.51, which means that the subject is not suitable for the mine rescue profession; the comprehensive assessment score is greater than or equal to 9.51 and less than 21.4, which means the subject is basically suitable for the mine rescue profession; If the score is greater than or equal to 21.4 and less than 43, the subject is suitable for mine rescue.

Beneficial effects: the natural status of the testee can be reflected through the information of the testee, and the marital status can also indirectly reflect the social support that the testee can obtain in the face of pressure; the testee can be evaluated in a quantitative form through the physical sign data The physical condition of the testee can be combined with the psychological measurement score to comprehensively evaluate the physical and mental health of the testee, so as to determine whether the testee is suitable for the mine rescue profession.

Psychometric measurement is the use of numbers to determine human behavior, and to determine a quantitative value for human behavior and psychological attributes. Since traits are manifested as a series of explicit behaviors with internal connections, based on the unity of traits and behaviors, the traits of the tested person can be indirectly judged by measuring the tested person's explicit behavior, and it is possible to evaluate whether the tested person is qualified to engage in the mine rescue profession. basic characteristics. Psychometric data can also provide a basis for formulating targeted psychological quality training plans after employment.

Description of drawings

Fig. 1 is a logical frame diagram of the present invention;

Figure 2 is a pentagon diagram of logical evaluation.

Detailed ways

The technical solutions of the present invention will be further limited below in conjunction with specific embodiments, but the scope of protection is not limited to the descriptions made.

Example 1

As shown in accompanying drawing 1, a kind of entry evaluation system for mine rescuers includes a data acquisition module, an answer module, an answer option quantification standard sub-module, a score statistics module, and a data analysis module;

The data collection module includes the information and physical signs of the subject. The subject information is used to store the subject's name, age, and marital status, and the physical sign data collection subject's height, weight, heart rate, blood pressure, blood oxygen, and vital capacity;

The answering module is for the subject to answer the corresponding test questions through man-machine mode;

The answer option quantification standard score module calculates the answer score according to the answer option of the subject;

The score statistics module includes a sign data statistics module and a psychometric data statistics module. The sign data statistical module includes a statistical model of height and weight, a statistical model of heart rate, a statistical model of blood pressure, a statistical model of blood oxygen, and a statistical model of vital capacity;

Specifically, the statistical model of height and weight is based on the height (H, cm) and weight (W, kg) data of the subject to calculate the score ( _Znatural ): _Znatural =5-|(W-H+105) |/(0.04H-4.2) (when Z _is <1, Z is _naturally = 0);

The heart rate statistical model is based on the heart rate (Hr, times/min) of the subject to calculate the score (Z _heart ), Z _heart =5-|(Hr-80)|/5 (when Z _heart <1, take Z _heart = 0);

The statistical model of blood pressure is calculated by the systolic blood pressure score (Z _SBP ) and the diastolic blood pressure score (Z _DBP ) to obtain the score (Z _{blood pressure} ), Z _{blood pressure} = (Z _SBP + Z _DBP )/2, the systolic blood pressure The score (Z _SBP ) is calculated from the subject's systolic blood pressure (S _BP , mmHg), Z _SBP =5-|(S _BP -105)|/3.75 (when Z _SBP <1, Z _SBP =0) ; The diastolic blood pressure score (Z _DBP ) is calculated from the subject's diastolic blood pressure (DB _BP , mmHg), Z _DBP =5-|( _DBP -70)|/2.5 (when Z _DBP <1, take Z _DBP = 0);

The blood oxygen saturation statistical model is calculated from the blood oxygen saturation (B _o ) of the subject to obtain the score (Z _{blood oxygen} ), Z _{blood oxygen} =5-|(B _o -90)|/2.5 (when Z _blood When _oxygen < 1, take Z _{blood oxygen} = 0);

The lung capacity statistical model is calculated by the subject's lung capacity (V _c , ml) to obtain the score (Z _lung ), Z _lung =5-|(B _o -4000)|/500 (when B _o ≧4000, take Z _lung =5; when B _o <2000, take Z _lung =0);

According to the calculation results of the above model, the sign evaluation data (A _sign ) was obtained. A _sign = (Z _nature + Z _heart + Z _{blood pressure} + Z _{blood oxygen} + Z _lung ) / 5 (when Z _nature × Z _heart × Z _{blood pressure} × Z _{blood oxygen} × Z _lung = 0, take A _sign = 0).

The psychometric data statistical module obtains corresponding measurement scores of personality traits, cognitive ability, emotional management ability, and behavior control ability according to the response scores.

The psychometric module includes an answer module, a score statistics module, and a data analysis module. The answer module is that the score statistics module quantifies the test questions answered by the subject according to the standard score algorithm, and the data analysis module The module is to analyze the physiological characteristics and psychological characteristics of the subjects according to the measurement;

Specifically, in order to ensure the accuracy of the data, the data acquisition module in this embodiment is obtained through manual input and biofeedback device measurement. Coal mine underground low space environment; physiological index data are used to reflect the physical condition of the testee, so as to evaluate whether the physical condition of the testee can adapt to the daily training of the mine rescue team, simulated disaster relief drills and underground rescue. Described answering module is to realize by test questions, and the answering module among the present embodiment comprises the structural analysis module among the items, and the structural analysis module among the items comprises the item structure analysis model, and the item structure analysis model comprises four steps: According to the psychometric basic theory and Relevant literature establishes an item pool; establishes the structural relationship between items; analyzes the relevance and error of items; determines the test questions. The score statistics module is realized through the score statistics model after the quantified standard scores obtained according to the response options. The score statistics model is composed of two parts, including a statistical model of physical signs data and a statistical model of psychological measurement data. The statistical model of the sign data includes a statistical model of height and weight, a statistical model of heart rate, a statistical model of blood pressure, a statistical model of blood oxygen, and a statistical model of vital capacity. The sign evaluation data is obtained according to the statistical model of the sign data.

The data analysis module draws an evaluation pentagon according to the above statistical results, as shown in FIG. 2 . According to the area of the pentagon, the evaluation conclusion is drawn, and the evaluation conclusion is whether the tested person is suitable for the mine rescue occupation, including unsuitable, basically suitable and suitable.

Specifically, as shown in Figure 2, the data analysis module includes a data analysis model. The data analysis model is composed of a sign axis, a personality trait axis, a cognitive ability axis, an emotional management axis, and a behavior control axis. Data, cognitive ability response data, emotional management ability response data, and behavior control ability response data determine the coordinate points on the corresponding axes, and the area of the pentagon obtained by connecting each point is the comprehensive evaluation score, and the evaluation conclusion is drawn based on the comprehensive evaluation score; The evaluation conclusion is: the comprehensive assessment score is greater than or equal to 0 and less than 9.51, which means that the subject is not suitable for the mine rescue profession; the comprehensive assessment score is greater than or equal to 9.51 and less than 21.4, which means the subject is basically suitable for the mine rescue profession; If the score is greater than or equal to 21.4 and less than 43, the subject is suitable for mine rescue.

Claims (7)

1. A mine rescue team entry evaluation system is characterized in that it includes a sign data acquisition module, a psychometric module, a score statistics module, and a data analysis module; the sign data acquisition module is used to collect the basic information and signs of the measured person Data; the psychometric module includes an answer module, an answer option quantification standard sub-module; the answer module is used for the subject to select the corresponding option to answer according to the topic; the answer option quantification standard sub-module is used for according to the subject The answer options are converted into standard scores; the score statistics module includes a sign data statistics module and a psychometric data statistics module; the data analysis module is used to draw an evaluation conclusion according to the results obtained by the sign data statistics module and the psychometric data statistics module. 2. The entry evaluation system for mine rescue personnel according to claim 1, wherein the basic information of the tested person includes name, age, and marital status. 3. The entry evaluation system for mine rescue personnel according to claim 1, wherein the physical sign data includes height, weight, heart rate, blood pressure, blood oxygen saturation, and vital capacity. 4. The entry evaluation system for mine rescue personnel according to claim 1, wherein the score statistics module includes a statistical module for physical signs data and a statistical module for psychometric data, and the statistical module for statistical data of physical signs is used to perform height and weight statistics Model, heart rate statistical model, blood pressure statistical model, blood oxygen saturation statistical model, lung capacity statistical model calculation. 5. The entry evaluation system for mine rescue personnel according to claim 1, wherein the execution logic of the vital sign data statistics module is: The height and weight statistical model is based on the height (H, cm) and weight (W, kg) data of the subject to calculate the score ( _Znatural ): _Znatural =5-|(W-H+105)|/( 0.04H-4.2) (when Z _natural < 1, take Z _natural = 0); The statistical model of heart rate is to calculate the score (Z _heart ) through the heart rate (H _r , times/min) of the subject, Z _heart =5-|(H _r -80)|/5 (when Z _heart <1, take Z _heart = 0); The statistical model of blood pressure is calculated by the systolic blood pressure score (Z _SBP ) and the diastolic blood pressure score (Z _DBP ) to obtain the score (Z _{blood pressure} ), Z _{blood pressure} = (Z _SBP + Z _DBP )/2, the systolic blood pressure The score (Z _SBP ) is calculated from the subject's systolic blood pressure (S _BP , mmHg), Z _SBP =5-|(S _BP -105)|/3.75 (when Z _SBP <1, Z _SBP =0) ; The diastolic blood pressure score (Z _DBP ) is calculated from the subject's diastolic blood pressure (DB _BP , mmHg), Z _DBP =5-|( _DBP -70)|/2.5 (when Z _DBP <1, take Z _DBP =0); The blood oxygen saturation statistical model is calculated from the blood oxygen saturation (B _o ) of the subject to obtain the score (Z _{blood oxygen} ), Z _{blood oxygen} =5-|(B _o -90)|/2.5 (when Z _blood When _oxygen < 1, take Z _{blood oxygen} = 0); The lung capacity statistical model is calculated by the subject's lung capacity (V _c , ml) to obtain the score (Z _lung ), Z _lung =5-|(B _o -4000)|/500 (when B _o ≧4000, take Z _lung =5; when B _o <2000, take Z _lung =0); According to the calculation results of the above model, the sign evaluation data (A _sign ) is obtained, A _sign = (Z _nature + Z _heart + Z _{blood pressure} + Z _{blood oxygen} + Z _lung ) / 5 (when Z _nature × Z _heart × Z _{blood pressure} × Z _blood When _oxygen × Z _lung = 0, take A _sign = 0). 6. The entry evaluation system for mine rescue team members according to claim 1, wherein the psychometric data statistical module obtains corresponding personality traits, cognitive ability, emotional management ability, and behavioral control ability respectively according to the response scores Measure scores. 7. The entry evaluation system for mine rescue team members according to claim 1, wherein the psychological measurement module includes an answer module, a score statistics module, and a data analysis module, and the answer module is that the score statistics module is based on standard scores. Algorithm, quantify the test questions answered by the testee, and the data analysis module analyzes the psychological characteristics of the testee according to the measurement score; The psychometric module includes an answer module, a score statistics module, and a data analysis module. The answer module stores corresponding test questions, which are answered by the subject within a specified time, and the content of the answers is stored; the score statistics module stores the aforementioned test question standards. The score of the key points of the answer is calculated according to the points of the testee's answer content score; the data analysis module is to analyze the psychological characteristics of the testee according to the scores of each part of the answer; The data analysis module includes a data analysis model. The data analysis model consists of a sign axis, a personality trait axis, a cognitive ability axis, an emotional management axis, and a behavior control axis. According to the sign evaluation data, personality trait response data, cognitive ability response data, emotion The management ability response data and the behavior control ability response data determine the coordinate points on the corresponding axes, and the area of the pentagon obtained by connecting the points is the comprehensive evaluation score, and the evaluation conclusion is drawn according to the comprehensive evaluation score; the evaluation conclusion is: the comprehensive evaluation score is greater than or If it is equal to 0 and less than 9.51, it means that the subject is not suitable for mine rescue; if the comprehensive assessment score is greater than or equal to 9.51 and less than 21.4, it means that the subject is basically suitable for mine rescue; if the comprehensive assessment score is greater than or equal to 21.4 and less than 43, It is suitable for the subjects to engage in mine rescue occupation.

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