CN111639864A - Quantitative assessment method for post security competence of port operating personnel - Google Patents

Quantitative assessment method for post security competence of port operating personnel Download PDF

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CN111639864A
CN111639864A CN202010489175.9A CN202010489175A CN111639864A CN 111639864 A CN111639864 A CN 111639864A CN 202010489175 A CN202010489175 A CN 202010489175A CN 111639864 A CN111639864 A CN 111639864A
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胡艳华
蒋文新
靳航
詹水芬
孟国栋
袁洪涛
卢琳琳
贾鹏宇
王明超
李岩
王雨堃
张世杰
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Tianjin Research Institute for Water Transport Engineering MOT
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Abstract

The invention provides a method for quantitatively evaluating post security competence of port operators, which comprises the following steps: A. determining a target operation post, a personnel list and characteristic elements influencing the safety performance of post operators; B. determining the core elements of the post safety competence of port operating personnel; C. constructing a port operator post safety competence nonlinear evaluation index system with the core elements as target variables; D. constructing an AHP-entropy weight method calculation model of an index system to obtain the weight of each level index; E. and obtaining the post safety competence force value of the port operator. The invention has the beneficial effects that: based on dynamic acquisition and big data analysis of a target sample, the technical problem of quantitative evaluation of post safety competence of an operator is solved, the operator and the post are optimally matched, the safety skills of the operator are improved, and the port safety production current situation is improved.

Description

Quantitative assessment method for post security competence of port operating personnel
Technical Field
The invention belongs to the technical field of port operation safety assessment, and particularly relates to a quantitative assessment method for post safety competence of port operation personnel.
Background
Since the file of "notice on issuing professional skill improvement action plan (2019-2021) in 2019 (No. 2019) is issued, five departments such as emergency management department, human resource and social security department are also issued jointly" implementation opinion on safety skill improvement action plan in high-risk industry field "(emergency No. 2019, 107, hereinafter" implementation opinion "). The implementation comments clearly suggest: the safety skill improvement action plan in the high-risk industry field is implemented, and aims to utilize the opportunity of occupational skills to improve actions, construct a knowledge-type, skill-type and innovative high-quality industry worker team according to the requirements of transformation upgrade, safety development and high-quality development of the high-risk industry, fill up major short boards with insufficient safety skills of high-risk industry practitioners, improve the intrinsic safety level of people and ensure the continuous and stable state of the national safety production situation.
The port production is the combined operation of multiple types of work, multiple links and multiple processes, and has the characteristics of multiple risk points, long line, wide area, dispersion and great influence by natural factors. Due to the high continuity and complexity of port site operations, there is a greater risk and more unsafe factors than in the general industry. In the field operation process, the linkage influence of crossing and restriction of multiple factors such as personnel, mechanical equipment, goods or materials, environment and the like is considered, and the tight connection and smooth operation of each production link are ensured. Otherwise, the safety production of the whole operation is easily affected by the out-of-control local link in the production process, and machine damage, goods damage accidents and even casualty accidents are caused under severe conditions. For example, the oil pipeline explosion accident of the 7.16 oil pipeline in the big and new port in 2010 and the dangerous goods warehouse of the 8.12 ruihai corporation in the Tianjin port in 2015 are particularly serious fire explosion accidents, which not only cause huge casualties and property loss, but also expose the mode of port production operation and safety management to be still severe, and are the key supervision industry in the field of safety production in China and face the severe situation of key improvement of the safety skills of operating personnel.
According to a large number of accident case analysis, more than 80% of accidents of port enterprises are caused by human error factors such as poor field management and personnel violation, namely accidents are caused by unsafe behaviors of people. With the development of science and technology, the continuous improvement of engineering equipment and the promotion of automatic pipelining, the requirements on basic level operators, especially key post operators, such as basic quality, professional skills, safety awareness and self-control ability, are higher and higher, so that the key post operators become the most direct, final and important rings in an accident chain.
At present, the safety management of key post operating personnel by port enterprises in China is mainly to intensively train and certify post before post adjustment, and has very limited effect on improving the safety performance of the key post operating personnel in the front line of the port enterprises. In the process of researching and discussing safety accident prevention measures of port enterprises by human factors, emphasis is placed on strengthening the autonomous safety management of key post operating personnel, and the active safety awareness and subjective activity of the operating personnel are excited. A safety competence assessment system fully embodying ' safety first ' is created in an enterprise, a post safety management mechanism for mutual supervision, mutual restriction and mutual guidance is formed, the forced management of the leader is changed into the self-management of the staff, the supervision of the leader is changed into the self-safety requirement of the staff, and a safety culture atmosphere that the leader wants to be safe ' is created. Therefore, unsafe behaviors of field operators can be fundamentally reduced, and the occurrence rate of human-caused accidents of the field operators is reduced.
Therefore, the technical problem of quantitative evaluation of post safety competence of the operating personnel is solved based on dynamic acquisition and big data analysis of target samples, and the realization of the optimized matching of the operating personnel and the post is an important method and an effective way for improving the safety skills of the operating personnel and improving the safe production status of the port.
Disclosure of Invention
In view of the above, the present invention is directed to a method for quantitatively evaluating post security competence of port operators, so as to solve the above-mentioned problems.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a method for quantitatively evaluating post security competence of port operators comprises the following steps:
A. determining a target operation post, a personnel list and characteristic elements influencing the safety performance of post operators;
B. determining the core elements of the post safety competence of port operating personnel;
C. constructing a port operator post safety competence nonlinear evaluation index system with the core elements as target variables;
D. constructing an AHP-entropy weight method calculation model of an index system to obtain the weight of each level index;
E. and obtaining the post safety competence force value of the port operator.
Furthermore, in the step A, the safety psychological state of the operating personnel at the primary post is analyzed from the aspects of importance, psychology and behavior of port operation safety through a human factor reliability accident model, the core mechanism generated by unsafe behaviors of people in a port cross operation mode is determined, and the target operation post, the personnel list and characteristic elements influencing the safety performance of the operating personnel at the post are determined.
Further, the human factor reliability accident model in the step a is as follows:
Figure BDA0002520395250000031
T1/2＝T1/2,n×(1+K1)×(1+K2)×(1+K3)，
wherein T represents the time for which the operator is allowed to respond, T1/2Indicating operator execution time, T1/2，nIndicating the average time to perform all conditions, K1 indicating the experience score, K2 indicating the psychological stress score, K3 indicating the human-machine interface score, α, β, γ indicating the parameters of the type and status of the operator's behavior.
Further, in the step B, the core elements of the post safety competence of the port operating personnel are determined through the mathematical statistics, the main component analysis and the reliability and effectiveness analysis of the sample crowd safety feature elements.
Further, in the step D, an objective weighting method of system dynamics is adopted to construct an AHP-entropy weight method calculation model of the index system, so as to obtain a weight matrix of each level of indexes.
Further, the calculation process of step D is as follows:
the AHP-entropy weight calculation model is,
Figure BDA0002520395250000041
where e denotes the information entropy of an event, piRepresenting the probability of an event occurring;
m evaluation indexes and n items to be evaluated are set to form an original evaluation matrix R,
R＝(rij)m×n，
wherein r isijThe jth evaluation value as the ith index,
for a certain index niThere is an entropy of the information that is,
Figure BDA0002520395250000042
Figure BDA0002520395250000043
wherein e isiIndicates an index niInformation entropy of (p)ijIs represented by rijThe probability of occurrence of the event is,
the weight W of each index can be obtainedi，
Figure BDA0002520395250000044
Furthermore, in the step E, based on a multi-level fuzzy analysis theory, a membership function is established, scores of indexes of each level are described, a sample measured value is quantized, and finally, a post safety competence value of port operators is obtained through calculation.
Further, the calculation process of the post safety competence value of the port operator in the step E is as follows:
E1. all factors influencing the post safety competence of the operators form a factor set of an evaluation system, which is marked as U,
U＝{u1,u2,…,um}，
wherein u is1，u2，...umFor each evaluation index;
E2. the set of various decisions is taken as a comment set, marked as V,
V＝{v1,v2,…,vn}，
wherein v is1，v2，...vnShows the given evaluation results;
E3. a weight distribution, denoted a,
Figure BDA0002520395250000051
wherein, a1，a2，...amSet of presentation factorsThe weight value of each index in U;
E4. according to the fuzzy relation from U to V, a fuzzy comprehensive judgment matrix of each index can be obtained:
Figure BDA0002520395250000052
wherein R represents an original evaluation matrix, RijA j-th evaluation value which is an i-th index;
E5. obtaining a comprehensive evaluation result by utilizing the R through fuzzy transformation,
B＝A*R，
wherein, B represents the fuzzy comprehensive evaluation result of the post safety competence.
Compared with the prior art, the method for quantitatively evaluating the post security competence of the port operating personnel has the following advantages:
the method for quantitatively evaluating the post safety competence of the port operator systematically solves the technical and management difficulties of port operator recruitment, training, safety management, performance assessment and the like, is beneficial to improving the scientificity, advancement and applicability of the safety evaluation of the existing post operators and realizes the intrinsic safety of the operators; the invention is based on the human thinking attribute of 'industry-oriented and target-oriented', and the construction of a 'target-element-performance-competence' mechanism model is explicitly expressed; the essential mechanism can be explored from a large number of unsafe behaviors of people, and based on element reasoning and judgment, the calculation result of the model is understood, verified and diagnosed on the basis of the human factor reliability model, so as to guide the proposing of correct safety measures and prevent accidents; based on dynamic acquisition and big data analysis of a target sample, the technical problem of quantitative evaluation of post safety competence of an operator is solved, the operator and the post are optimally matched, the safety skills of the operator are improved, and the port safety production current situation is improved.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a method for quantitatively evaluating post security competence of port operators according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a post security competence neural network linear distribution processing method according to an embodiment of the present invention;
fig. 3 is a diagram illustrating a post security competence neural network nonlinear distribution processing method according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in FIG. 1, a method for quantitatively evaluating the post security competence of port operators comprises the following steps:
A. determining a target operation post, a personnel list and characteristic elements influencing the safety performance of post operators;
B. determining the core elements of the post safety competence of port operating personnel;
C. constructing a port operator post safety competence nonlinear evaluation index system with the core elements as target variables;
D. constructing an AHP-entropy weight method calculation model of an index system to obtain the weight of each level index;
E. and obtaining the post safety competence force value of the port operator.
In the step A, the safety psychological state of the operating personnel at the primary post is analyzed from the aspects of importance, psychology and behavior of port operation safety through a human factor reliability accident model, and the core mechanism generated by unsafe behaviors of people in a port cross operation mode is determined to determine a target operation post, a personnel list and characteristic elements influencing the safety performance of the operating personnel at the post.
The human factor reliability accident model in the step A is as follows:
Figure BDA0002520395250000071
T1/2＝T1/2,n×(1+K1)×(1+K2)×(1+K3)，
wherein T represents the time for which the operator is allowed to respond, T1/2Indicating operator execution time, T1/2，nIndicating the average time to perform all conditions, K1 indicating the experience score, K2 indicating the psychological stress score, K3 indicating the human-machine interface score, α, β, γ indicating the parameters of the type and status of the operator's behavior.
And in the step B, the mathematical statistics, the principal component analysis and the reliability and validity analysis of the safety feature elements of the sample population are realized through mathematical statistics software SPSS, and the core elements (such as basic quality, professional skills, safety awareness and self-control capability) of the post safety competence of the port operating personnel are determined, wherein the post safety competence refers to the quality sum of the safety capabilities required by the staff to take the task role of a certain specific post. Generally, the higher the overall security quality of the employee matching the post, the stronger its post security competency. Therefore, the uniform scale and basis which can comprehensively cover the evaluation of the safety quality of the operators from the outside to the inside and can comprehensively cover the safety performance of the operators can be formed by combining the operation characteristics of the target post and the competent requirements of the post safety and focusing the characteristic elements of the outside and the inside of the safety performance of the operators influencing the safety behavior of the operators. In this embodiment, assuming that a research sample has 18 core feature elements and 4 criterion layer indexes, and after performing SPSS correlation calculation and analysis, the research sample has better structural validity, content validity, and confidence level, the load relationship between each feature element of the job-worker competence and the criterion layer index is as shown in table 1 below:
TABLE 1 Port operator post competence each characteristic element and criterion layer index load
Figure BDA0002520395250000081
Figure BDA0002520395250000091
And C, constructing a port operator post safety competence nonlinear evaluation index system with the core elements as target variables, wherein the port operator post safety competence nonlinear evaluation index system is obtained by adopting a hierarchical analysis method and a neural network parallel distribution processing method based on the sample crowd statistical data analysis in the step B, and the technical index system is subjected to hierarchical decomposition through the hierarchical analysis method to determine specific evaluation indexes of three different levels, namely a target layer, a criterion layer and a factor layer. As shown in fig. 2 and fig. 3, in this embodiment, based on target sample evaluation of post security competence and basic data analysis, linear (y ═ x) or nonlinear (y ═ 1/(1+ e-x)) association relations among indexes of different levels are obtained quantitatively, and a port operator post security competence nonlinear evaluation index system is constructed by using a neural network parallel distribution processing method and an analytic hierarchy process, so that the computational efficiency and accuracy of the nonlinear index system are enhanced, and the evaluation problem of the domestic nonlinear security system is solved.
And D, constructing an AHP-entropy weight method calculation model of an index system by adopting a system dynamics objective weighting method to obtain a weight matrix of each level index, upgrading the uncertain post qualitative evaluation at the current stage to the optimized post quantitative evaluation, and solving the key technical problem of post operator index weight quantitative evaluation.
The entropy weight in the step D can quantitatively reflect the amount of effective information which can be provided by the index in scheme evaluation, and if the entropy of the information of the index is larger, the amount of the information which can be provided by the index is smaller; on the contrary, the smaller the information entropy, the larger the information quantity provided by the index is, the weight of each index can be quantitatively determined by using the AHP-entropy weight method, the subjectivity of each factor weight is eliminated as much as possible, and the evaluation result is more scientific and reasonable. The calculation process of the step D is as follows:
the AHP-entropy weight calculation model is,
Figure BDA0002520395250000092
where e denotes the information entropy of an event, piRepresenting the probability of an event occurring;
m evaluation indexes and n items to be evaluated are set to form an original evaluation matrix R,
R＝(rij)m×n，
wherein r isijThe jth evaluation value as the ith index,
for a certain index niThere is an entropy of the information that is,
Figure BDA0002520395250000101
Figure BDA0002520395250000102
wherein e isiIndicates an index niInformation entropy of (p)ijIs represented by rijThe probability of occurrence of the event is,
the weight W of each index can be obtainedi，
Figure BDA0002520395250000103
And E, establishing a membership function based on a multi-level fuzzy analysis theory, describing the scores of the indexes of all levels, quantizing the measured values of the samples, and finally calculating to obtain the post safety competence value of the port operating personnel. The multilevel fuzzy analysis theory is a comprehensive evaluation method established on the basis of a fuzzy consistent matrix, and the membership function of the comprehensive evaluation method is deduced on the basis of measuring the generalized weight distance of the quality of an evaluation object, so that the quality comparison between evaluation object indexes, namely evaluation indexes, can be realized. For a complex evaluation system with multiple layers, the theory can organically combine all evaluation levels by establishing a system iteration equation and realize dynamic comprehensive evaluation on an evaluation object. The specific process is as follows:
E1. comprehensively evaluating the post safety competence of the operators from multiple aspects, wherein all the factors form an evaluation system factor set which is marked as U,
U＝{u1,u2,…,um}，
wherein u is1，u2，...umFor each evaluation index;
E2. the set of various decisions is taken as a comment set, marked as V,
V＝{v1,v2,…,vn}，
wherein v is1，v2，...vnShows the given evaluation results;
E3. a weight distribution, denoted a,
Figure BDA0002520395250000111
wherein, a1，a2，...amRepresenting the weight value of each index in the factor set U;
E4. according to the fuzzy relation from U to V, a fuzzy comprehensive judgment matrix of each index can be obtained:
Figure BDA0002520395250000112
wherein R represents an original evaluation matrix, RijA j-th evaluation value which is an i-th index;
E5. obtaining a comprehensive evaluation result by utilizing the R through fuzzy transformation,
B＝A*R，
wherein, B represents the fuzzy comprehensive evaluation result of the post safety competence.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (8)

1. A method for quantitatively evaluating post security competence of port operators is characterized by comprising the following steps:
A. determining a target operation post, a personnel list and characteristic elements influencing the safety performance of post operators;
B. determining the core elements of the post safety competence of port operating personnel;
C. constructing a port operator post safety competence nonlinear evaluation index system with the core elements as target variables;
D. constructing an AHP-entropy weight method calculation model of an index system to obtain the weight of each level index;
E. and obtaining the post safety competence force value of the port operator.
2. The method for quantitatively evaluating the post security competence of port operators as claimed in claim 1, wherein the method comprises the following steps: in the step A, the safety psychological state of the operating personnel at the base post is analyzed from the aspects of importance, psychology and behavior of port operation safety through a human factor reliability accident model, and the core mechanism generated by unsafe behaviors of people in a port cross operation mode is determined to determine a target operation post, a personnel list and characteristic elements influencing the safety performance of the operating personnel at the post.
3. The method for quantitatively evaluating the post security competence of port operators as claimed in claim 1, wherein the human reliability accident model in the step A is as follows:
Figure FDA0002520395240000011
T1/2=T1/2,n×(1+K1)×(1+K2)×(1+K3)，
wherein T represents the time for which the operator is allowed to respond, T1/2Indicating operator execution time, T1/2，nIndicating the average time to perform all conditions, K1 indicating the experience of operation score, K2 indicating the psychological stress score, K3 indicating the human-machine interface score, α, β, γ indicating the parameters of the type and state of the operator's behavior.
4. The method for quantitatively evaluating the post security competence of port operators as claimed in claim 1, wherein the method comprises the following steps: and B, determining the core elements of the post safety competence of the port operating personnel through the mathematical statistics, the principal component analysis and the reliability and validity analysis of the sample crowd safety feature elements obtained in the step A.
5. The method for quantitatively evaluating the post security competence of port operators as recited in claim 11, wherein the method comprises the following steps: and D, constructing an AHP-entropy weight method calculation model of an index system by adopting a system dynamics objective weighting method to obtain a weight matrix of each level of indexes.
6. The method for quantitatively evaluating the post security competence of port operators as claimed in claim 1, wherein the calculation process of the step D is as follows:
the AHP-entropy weight calculation model is,
Figure FDA0002520395240000021
where e denotes the information entropy of an event, piRepresenting the probability of an event occurring;
m evaluation indexes and n items to be evaluated are set to form an original evaluation matrix R,
R＝(rij)m×n，
wherein r isijThe jth evaluation value as the ith index,
for a certain index niThere is an entropy of the information that is,
Figure FDA0002520395240000022
Figure FDA0002520395240000023
wherein e isiIndicates an index niInformation entropy of (p)ijIs represented by rijThe probability of occurrence of the event is,
the weight W of each index can be obtainedi，
Figure FDA0002520395240000031
7. The method for quantitatively evaluating the post security competence of port operators as claimed in claim 1, wherein the method comprises the following steps: and E, establishing a membership function based on a multi-level fuzzy analysis theory, describing the scores of indexes of all levels, quantizing the sample measured values, and finally calculating to obtain the post safety competence value of the port operating personnel.
8. The method for quantitatively evaluating the post safety competence of port operators as claimed in claim 1, wherein the post safety competence value of the port operator in the step E is calculated as follows:
E1. all factors influencing the post safety competence of the operating personnel form a factor set of an evaluation system, which is marked as U,
U＝{u1,u2,···,um}，
wherein u is1，u2，...umFor each evaluation index;
E2. the set of various decisions is taken as a comment set, marked as V,
V＝{v1,v2,···,vn}，
wherein v is1，v2，...vnShows the given evaluation results;
E3. a weight distribution, denoted a,
Figure FDA0002520395240000032
wherein, a1，a2，...amRepresenting the weight value of each index in the factor set U;
E4. according to the fuzzy relation from U to V, a fuzzy comprehensive judgment matrix of each index can be obtained:
Figure FDA0002520395240000033
wherein R represents an original evaluation matrix, RijA j-th evaluation value which is an i-th index;
E5. obtaining a comprehensive evaluation result by utilizing the R through fuzzy transformation,
B＝A*R，
wherein, B represents the fuzzy comprehensive evaluation result of the post safety competence.
CN202010489175.9A 2020-06-02 2020-06-02 Quantitative assessment method for post security competence of port operating personnel Pending CN111639864A (en)

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Application publication date: 20200908