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  本文關(guān)鍵詞： 安全預(yù)警 指標(biāo)體系 粗糙集 Rosetta 規(guī)則　出處：《西南石油大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

【摘要】：油建工程是油氣田開發(fā)核心之一,因其有野外施工、工種繁多、流動性大、作業(yè)時間長、環(huán)境較復(fù)雜、工序較多等特征,所以在作業(yè)的過程中,常常伴有意外事故發(fā)生,風(fēng)險較大。如何保證油建施工作業(yè)的安全進(jìn)行,預(yù)防事故的發(fā)生始終是油建行業(yè)板塊需要重點關(guān)注的問題,建立油建施工作業(yè)安全預(yù)警系統(tǒng)是刻不容緩的。本文提出基于粗糙集建立油建施工作業(yè)安全預(yù)警模型。該模型為構(gòu)建油建施工作業(yè)預(yù)警子系統(tǒng)奠定了基礎(chǔ)。 本文利用粗糙集理論的數(shù)據(jù)挖掘和知識發(fā)現(xiàn)的能力,對油建施工作業(yè)安全預(yù)警樣本中的各種數(shù)據(jù)進(jìn)行研究分析并從中獲取規(guī)則,作為安全預(yù)警的依據(jù)。本文具體研究主要有以下幾個方面： (1)在已有安全預(yù)警及相關(guān)理論研究的基礎(chǔ)上,針對油建施工作業(yè)過程中存在的危險、危害因素以及可能發(fā)生的油建工程事故的特征,建立一套合適的預(yù)警指標(biāo)體系。 (2)根據(jù)各預(yù)警指標(biāo)的發(fā)生次數(shù)及事故程度,構(gòu)建決策表。運用粗糙集理論知識,對決策表中條件屬性數(shù)據(jù)進(jìn)行離散化處理、屬性約簡,最后生成相應(yīng)的規(guī)則。 (3)依據(jù)可信度、覆蓋度對規(guī)則進(jìn)行處理,獲得有效規(guī)則。把獲得的規(guī)則,導(dǎo)入安全預(yù)警規(guī)則庫,完成匹配算法。 (4)設(shè)計并實現(xiàn)基于粗糙集的油建施工作業(yè)安全預(yù)警模塊。 (5)運用數(shù)據(jù)對安全預(yù)警模型進(jìn)行有效性和實用性驗證。
[Abstract]:Oil construction engineering is one of the core of oil and gas field development. Because of its characteristics such as field construction, various types of work, large mobility, long working time, complex environment, more working procedures, etc., accidents often occur in the course of operation. The risk is high. How to ensure the safety of oil construction operation and prevent accidents is always the key problem that the oil construction industry should pay attention to. It is urgent to establish a safety early warning system for oil construction operation. In this paper, a safety early warning model of oil construction operation based on rough set is proposed, which lays a foundation for the construction of early warning subsystem of oil construction operation. This paper makes use of the ability of data mining and knowledge discovery of rough set theory to study and analyze all kinds of data in early warning samples of oil construction operation and obtain rules from them. As the basis of security early warning, this paper mainly studies the following aspects:. 1) on the basis of existing safety early warning and related theoretical research, a set of appropriate early warning index system is established in view of the hazards, harmful factors and the characteristics of possible oil construction accidents in the course of oil construction operation. 2) according to the occurrence times and accident degree of each early warning index, the decision table is constructed, and the conditional attribute data in the decision table is discretized by using rough set theory, and the attribute reduction is made, and the corresponding rules are generated at last. 3) deal with the rules according to the credibility and coverage degree, obtain the effective rules, and import the obtained rules into the security early warning rule base to complete the matching algorithm. Design and implement the oil construction safety warning module based on rough set. The validity and practicability of the security early warning model are verified by using the data.
【學(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TE48;TP18

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本文編號：1539069