Systematic method for determining hierarchical structure of accident factors by using gray correlation

Abstract

The invention relates to the technical field of safety production accident factor analysis, in particular to a method for systematically analyzing a relationship between the levels of multiple accident factors. The method comprises a step 1 of calculating the gray correlation degree between the overall accident factors; a step 2 of constructing a gray adjacency matrix; a step 3 of establishing a reachability matrix; a step 4 of dividing the reachability matrix into different levels; and a step 5 of drawing a hierarchical structure diagram.

Description

technical field

[0001] The invention relates to a technical field specially applicable to factor analysis of production safety accidents, in particular to a method for systematically analyzing the relationship among layers of multiple accident factors. Background technique

[0002] Work safety accidents are usually not caused by a single factor, but the result of a series of multiple factors. At the same time, one factor causing an accident may affect another factor, and these factors may interact with each other. In the past safety production processing, only a single or main factor was extracted to affect the whole incident, while ignoring the hierarchical relationship among multiple factors in the accident, which will result in incomplete and objective analysis results and the phenomenon that safety accidents still occur . In the past few decades, in the process of analyzing safety accidents, there have been systematic analysis methods, such as human factor analysis and...

Examples

Embodiment 1

[0027] This example realizes that the technology for determining the level of accident factors includes four parts:

[0028] (1) Calculate the correlation degree among the accident factors. Suppose there are n elements in the accident system, the set is S={e 1 ,e 2 ,...,e n}, by corresponding to the items checked in the observation enforcement checklist, the behavior sequence of all elements can be obtained, here is the time series. X is the set of these time series: X={x i |i=0,1,2,...,n}. x i ,y i ∈X, symbol γ(x i ,y i ) means x i and y i The degree of adjacency between them is the so-called gray correlation coefficient. The theorem of gray relation is:

[0029] 1) Comparable. That is, each sequence in X is dimensionless, equal in size, uniform in polarity, and the number is greater than three.

[0030] 2) Norm interval. 00 ,y i )≤1. (i) if x i =x j , γ(x i ,y i )=1. (ii) if x i ,y j ∈φ, γ(x i ,y i ) = 0.

[0031] 3) Integrity. If n≥3 and i≠j, the...

technical field

[0001] The invention relates to a technical field specially applicable to factor analysis of production safety accidents, in particular to a method for systematically analyzing the relationship among layers of multiple accident factors. Background technique

[0002] Work safety accidents are usually not caused by a single factor, but the result of a series of multiple factors. At the same time, one factor causing an accident may affect another factor, and these factors may interact with each other. In the past safety production processing, only a single or main factor was extracted to affect the whole incident, while ignoring the hierarchical relationship among multiple factors in the accident, which will result in incomplete and objective analysis results and the phenomenon that safety accidents still occur . In the past few decades, in the process of analyzing safety accidents, there have been systematic analysis methods, such as human factor analysis and...

Examples

Embodiment 1

[0027] This example realizes that the technology for determining the level of accident factors includes four parts:

[0028] (1) Calculate the correlation degree among the accident factors. Suppose there are n elements in the accident system, the set is S={e 1 ,e 2 ,...,e n}, by corresponding to the items checked in the observation enforcement checklist, the behavior sequence of all elements can be obtained, here is the time series. X is the set of these time series: X={x i |i=0,1,2,...,n}. x i ,y i ∈X, symbol γ(x i ,y i ) means x i and y i The degree of adjacency between them is the so-called gray correlation coefficient. The theorem of gray relation is:

[0029] 1) Comparable. That is, each sequence in X is dimensionless, equal in size, uniform in polarity, and the number is greater than three.

[0030] 2) Norm interval. 00 ,y i )≤1. (i) if x i =x j , γ(x i ,y i )=1. (ii) if x i ,y j ∈φ, γ(x i ,y i ) = 0.

[0031] 3) Integrity. If n≥3 and i≠j, the...

Images