【摘要】：工業(yè)技術的快速發(fā)展將人類置于一個大數(shù)據(jù)時代,由大數(shù)據(jù)時代產(chǎn)生的大量傷害數(shù)據(jù)是人類的一筆偉大的財富,面對大數(shù)據(jù)時代的到來,傳統(tǒng)的數(shù)據(jù)處理方式面臨著新的嚴峻挑戰(zhàn)。面對大數(shù)據(jù)時代的不斷發(fā)展,只有有效構建相適應的傷害分析模型,才能真正將海量數(shù)據(jù)轉(zhuǎn)化為有效信息。本文以事故數(shù)據(jù)庫的挖掘為研究對象,對我國煤炭事故數(shù)據(jù)庫描述的事件進行要素分解,盡可能合理、科學的選擇傷害因素種類,搭建多維描述框架,并將各要素進行排列組合,并采用傳統(tǒng)風險矩陣法進行分析研究,利用P?C劃分風險等級,利用專家打分得到風險矩陣,針對二維矩陣通常難以表達多個傷害因素的共同作用的弊端,通過增加分析維數(shù)及二維矩陣的疊加,建立多維傷害分析模型,以縮短查找傷害具體起因的時間,直觀的實現(xiàn)分析模型,充分表達傷害特征。
[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.
【學位授予單位】：河南理工大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TP311.13;TD77

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