基于事故数据库的多维伤害分析模型研究
发布时间：2018-11-22 09:07
【摘要】：工业技术的快速发展将人类置于一个大数据时代,由大数据时代产生的大量伤害数据是人类的一笔伟大的财富,面对大数据时代的到来,传统的数据处理方式面临着新的严峻挑战。面对大数据时代的不断发展,只有有效构建相适应的伤害分析模型,才能真正将海量数据转化为有效信息。本文以事故数据库的挖掘为研究对象,对我国煤炭事故数据库描述的事件进行要素分解,尽可能合理、科学的选择伤害因素种类,搭建多维描述框架,并将各要素进行排列组合,并采用传统风险矩阵法进行分析研究,利用P?C划分风险等级,利用专家打分得到风险矩阵,针对二维矩阵通常难以表达多个伤害因素的共同作用的弊端,通过增加分析维数及二维矩阵的叠加,建立多维伤害分析模型,以缩短查找伤害具体起因的时间,直观的实现分析模型,充分表达伤害特征。
[Abstract]:The rapid development of industrial technology has placed mankind in an era of big data. The great amount of data of injury generated by the age of big data is a great wealth of mankind. Facing the arrival of the era of big data, Traditional data processing is facing new severe challenges. In the face of the constant development of big data era, only by constructing the suitable harm analysis model effectively, can the massive data be transformed into effective information. In this paper, the mining of the accident database is taken as the research object, the factors of the incident described in the coal accident database of our country are decomposed, and the types of injury factors are selected scientifically as possible, and the multidimensional description framework is built. The elements are arranged and combined, and the traditional risk matrix method is used to analyze and study. The risk matrix is obtained by using PFC to classify the risk, and using experts to score the risk matrix. In view of the disadvantage that it is difficult to express the common action of multiple injury factors in two-dimensional matrix, by increasing the dimension of analysis and the superposition of two-dimensional matrix, a multi-dimensional damage analysis model is established to shorten the time of finding the specific cause of injury. Intuitionistic implementation of the analysis model, the full expression of injury characteristics.
【学位授予单位】：河南理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.13;TD77
本文编号：2348803
[Abstract]:The rapid development of industrial technology has placed mankind in an era of big data. The great amount of data of injury generated by the age of big data is a great wealth of mankind. Facing the arrival of the era of big data, Traditional data processing is facing new severe challenges. In the face of the constant development of big data era, only by constructing the suitable harm analysis model effectively, can the massive data be transformed into effective information. In this paper, the mining of the accident database is taken as the research object, the factors of the incident described in the coal accident database of our country are decomposed, and the types of injury factors are selected scientifically as possible, and the multidimensional description framework is built. The elements are arranged and combined, and the traditional risk matrix method is used to analyze and study. The risk matrix is obtained by using PFC to classify the risk, and using experts to score the risk matrix. In view of the disadvantage that it is difficult to express the common action of multiple injury factors in two-dimensional matrix, by increasing the dimension of analysis and the superposition of two-dimensional matrix, a multi-dimensional damage analysis model is established to shorten the time of finding the specific cause of injury. Intuitionistic implementation of the analysis model, the full expression of injury characteristics.
【学位授予单位】：河南理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP311.13;TD77
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