本文選題：故障診斷 + 化工過程��； 參考：《青島科技大學(xué)》2015年碩士論文

【摘要】：隨著化工流程規(guī)模日益增大和化工生產(chǎn)裝置間關(guān)系更趨復(fù)雜,化工生產(chǎn)操作彈性逐漸減弱,高溫高壓、低溫真空、有毒腐蝕等苛刻條件相對突出。為了確�；どa(chǎn)過程安全順利的進行,化工過程故障的識別與診斷必不可少�；诜栍邢驁D(SDG)的化工故障診斷理論及應(yīng)用研究方興未艾,同時,此理論方法在建模復(fù)雜、整體性不高、易于漏掉重要變量等方面體現(xiàn)出一定程度的欠缺。目前,復(fù)雜網(wǎng)絡(luò)理論已經(jīng)在電網(wǎng)、交通等領(lǐng)域的故障診斷方面開展了相關(guān)研究,是處理過程復(fù)雜性、多變性的有效手段之一。本文試圖在SDG化工網(wǎng)絡(luò)診斷理論研究的基礎(chǔ)上,利用復(fù)雜網(wǎng)絡(luò)理論對故障網(wǎng)絡(luò)進行關(guān)鍵節(jié)點的識別和社團結(jié)構(gòu)的定量劃分,以期解決SDG化工網(wǎng)絡(luò)診斷中面臨的不足,研究工作主要體現(xiàn)在以下幾方面：首先,針對故障診斷中符號有向圖的建模方法,對傳統(tǒng)符號有向圖中的流程圖建模方法進行了改進,并提出了構(gòu)建基于SDG模型的網(wǎng)絡(luò)鄰接矩陣建模的新方法。其次,提出了基于復(fù)雜性網(wǎng)絡(luò)與SDG結(jié)合的化工過程診斷中關(guān)鍵節(jié)點的識別模型和方法,并在對化工SDG網(wǎng)絡(luò)進行復(fù)雜性網(wǎng)絡(luò)特征的計算和判斷、中心性計算和社團劃分理論的基礎(chǔ)上,對其進行關(guān)鍵節(jié)點的識別以及重點保護區(qū)的劃分,并根據(jù)關(guān)鍵節(jié)點和社團劃分的結(jié)果,繪制出其關(guān)鍵節(jié)點及路徑保護圖,以此對網(wǎng)絡(luò)的安全運行進行相應(yīng)的理論指導(dǎo)。最后,選取了丙烯聚合工藝、合成氨工藝以及TE過程為例,依據(jù)以上建立的基于復(fù)雜網(wǎng)絡(luò)理論與SDG所建立的模型,對其SDG網(wǎng)絡(luò)從網(wǎng)絡(luò)復(fù)雜性特征、關(guān)鍵節(jié)點的識別和重點保護區(qū)確定三個方面進行了案例分析和驗證研究。結(jié)果均表明,所建立的模型合理可行且與前人相比在簡便性和準(zhǔn)確性等方面具有一定優(yōu)勢,為化工生產(chǎn)故障診斷提供了新的研究思路和成果。
[Abstract]:With the increasing scale of chemical process and the more complex relationship between chemical production units, the operational elasticity of chemical production gradually weakened, high temperature and high pressure, low temperature vacuum, toxic corrosion and other harsh conditions are relatively prominent. In order to ensure the safety and smooth progress of chemical production process, it is necessary to identify and diagnose the chemical process faults. The theory of chemical fault diagnosis based on symbolic directed graph (SDG) and its application are in the ascendant. At the same time, this theory and method shows a certain degree of deficiency in modeling complexity, low integrity, easy to miss important variables and so on. At present, the complex network theory has carried out the related research in the power network, transportation and other fields of fault diagnosis, which is one of the effective means to deal with the complexity and variability of the process. Based on the research of SDG chemical network diagnosis theory, this paper attempts to use the complex network theory to identify the key nodes of the fault network and to quantitatively divide the community structure, in order to solve the shortage in the SDG chemical network diagnosis. The research work is mainly reflected in the following aspects: firstly, aiming at the modeling method of symbolic directed graph in fault diagnosis, the flow chart modeling method of traditional symbolic directed graph is improved. A new modeling method of network adjacency matrix based on SDG model is proposed. Secondly, the identification model and method of key nodes in chemical process diagnosis based on the combination of complex network and SDG are proposed, and the characteristics of complex network are calculated and judged. On the basis of the theory of centrality calculation and community division, the key nodes are identified and the key protected areas are divided. According to the results of the division of key nodes and communities, the key nodes and path protection maps are drawn. In this way, the safe operation of the network is guided by the corresponding theory. Finally, the propylene polymerization process, ammonia synthesis process and te process are selected as examples. According to the model based on complex network theory and SDG, the complexity of SDG network is analyzed. The identification of key nodes and the determination of key protected areas are studied in three aspects: case analysis and verification. The results show that the proposed model is reasonable and feasible, and has some advantages in simplicity and accuracy, which provides a new idea and achievement for fault diagnosis in chemical production.
【學(xué)位授予單位】：青島科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TQ086

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本文編號：2113767