scholarly journals Correlation in Causality: A Progressive Study of Hierarchical Relations within Human and Organizational Factors in Coal Mine Accidents

Author(s):  
Ziwei Fa ◽  
Xinchun Li ◽  
Quanlong Liu ◽  
Zunxiang Qiu ◽  
Zhengyuan Zhai

It has been revealed in numerous investigation reports that human and organizational factors (HOFs) are the fundamental causes of coal mine accidents. However, with various kinds of accident-causing factors in coal mines, the lack of systematic analysis of causality within specific HOFs could lead to defective accident precautions. Therefore, this study centered on the data-driven concept and selected 883 coal mine accident reports from 2011 to 2020 as the original data to discover the influencing paths of specific HOFs. First, 55 manifestations with the characteristics of the coal mine accidents were extracted by text segmentation. Second, according to their own attributes, all manifestations were mapped into the Human Factors Analysis and Classification System (HFACS), forming a modified HFACS-CM framework in China’s coal-mining industry with 5 categories, 19 subcategories and 42 unsafe factors. Finally, the Apriori association algorithm was applied to discover the causal association rules among external influences, organizational influences, unsafe supervision, preconditions for unsafe acts and direct unsafe acts layer by layer, exposing four clear accident-causing “trajectories” in HAFCS-CM. This study contributes to the establishment of a systematic causation model for analyzing the causes of coal mine accidents and helps form corresponding risk prevention measures directly and objectively.

2013 ◽  
Vol 724-725 ◽  
pp. 1289-1292 ◽  
Author(s):  
Zuo Jiao Yu ◽  
Fu Chuan Jiang ◽  
Xiao Xin Mao ◽  
Ju Wang

The coal mine gas hazards as important factors affecting the coal mine production safety and it is the modern ore mining industry must be rigorous treatment of serious harm. This paper expounds the harm of coal mine gas,and analyzes the cause of it,then puts forward some prevention measures for it.


2013 ◽  
Vol 859 ◽  
pp. 511-514 ◽  
Author(s):  
Jing Jing Wan ◽  
Ying Hua Song

This paper has put forward a comprehensive assessment model of the emergency management capability of the coal mine accidents which is based on AHP and fuzzy comprehensive evaluation, and has made an empirical analysis. Firstly, the meaning and the key contents of the emergency management capability of coal mine accidents was elaborated. Secondly, the comprehensive evaluation index system of coal mine accidents emergency management capability was established. And then, the first class index weights were determined by AHP. Finally, this paper made a comprehensive evaluation of a certain regions emergency management capability of coal mine accidents by means of the fuzzy comprehensive evaluation.


Author(s):  
V.V. Kupriyanov ◽  
◽  
I.S. Bondarenko ◽  

The common problem was studied concerning the personnel safety and the operation of railway transport during industrial cargo transportation. Statistical and technical analysis were conducted related to the conditions and reasons of railway accidents caused by various hazardous factors and occurred over the past 15 years in the mining industry of Russia. The study based on natural, technical, and organizational factors showed that there is a steady tendency towards the preservation of the number of accidents such as train collisions, fires, and derailments. Despite the measures taken, such accidents do occur resulting in fatal accidents. The situation is explained by the fact that safety of rail transport is conditioned by the factors that can be divided into difficult-to-control and complex (coordinated by action). The differences between complex factors caused by the railway technology and difficult-to-control factors, which include natural factors or their combination with the stimulated factors are studied in the article. Study of the evidence including the details of the development of fires and derailments of trains from the rails, the consequences of such accidents and conclusions about their causes shows that the additional calculations and classification of the difficult-to-control factors in combination with other causes allow to give a more detailed assessment of the nature of difficult-to-control factors and the interrelationship between them. Through this it becomes possible to detect the maximum number of violations. It is concluded that improving railway safety is possible only with a differentiated approach to the role of each group of factors including difficult-to-control factors, and the ability of personnel to influence the occurrence and development of accidents. The time characteristics of railway accidents are considered. The idea of automated information filtering of clogged messages in the analysis of accidents is formulated.


2021 ◽  
Author(s):  
Carlo Bruni ◽  
Luciano Greco ◽  
Tommaso Mancia ◽  
Massimiliano Pieralisi

The additive manufacturing technique represents a way to realize components or prototypes without the use of conventional tools.The research presented aims at proposing a methodology based on the use of three different techniques that are the poly-jet 3D using UV photo-polymerization, the FDM of polyamide materials and the FDM of PLA materials. The original data were used at the beginning with the first technique in order to detect the shape and the geometry by a 3D SCANNER. The objective was the re-building of a model shape made using a procedure in which the input file characteristics were updated starting from those got by the scanning device in order to respect the original requirements defined in the computer aided environment. It was found that the physical re-building of an object is depending the characteristics of the input file that needs to be digitally processed in order to get the desired shape and geometry. In that way also FDM using PLA and polyamide materials can be utilized to get components or prototypes from scanned digital data. The results are reported in details.


2021 ◽  
pp. jrheum.201594
Author(s):  
Tatiana Nevskaya ◽  
Janet E. Pope ◽  
Matthew A. Turk ◽  
Jenny Shu ◽  
April Marquardt ◽  
...  

Objective Systemic sclerosis (SSc) is a multisystem disease with heterogeneity in presentation and prognosis. An international collaboration to develop new SSc subset criteria is underway. Our objectives were to identify systems of SSc subset classification and synthesize novel concepts to inform development of new criteria. Methods Medline, Cochrane MEDLINE, CINAHL, EMBASE and Web of Science were searched from their inceptions to December 2019 for studies related to SSc sub-classification, limited to humans without language or sample size restrictions. Results Of 5686 citations, 102 articles reported original data on SSc subsets. Subset classification systems relied on extent of skin involvement and/or scleroderma-specific autoantibodies (n=61), nailfold capillary patterns (n=29), molecular, genomic and cellular patterns (n=12). While some systems of subset classification confer prognostic value for clinical phenotype, severity, and mortality; only subsetting by gene expression signatures in tissue samples has been associated with response to therapy. Conclusion Subsetting on extent of skin involvement remains important. Novel disease attributes including SSc-specific autoantibodies, nailfold capillary patterns and tissue gene expression signatures have been proposed as innovative means of SSc subsetting.


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