發(fā)布時(shí)間：2019-01-03 21:03

【摘要】：近年來(lái),隨著鹽湖化工行業(yè)的發(fā)展,鹵水資源的需求量也越來(lái)越大,因此,企業(yè)對(duì)鹵水資源進(jìn)行了過(guò)量的開(kāi)采,致使鹵水補(bǔ)給不足、資源匱乏,影響了鹽湖化工行業(yè)的可持續(xù)發(fā)展。同時(shí),由于設(shè)備運(yùn)行狀態(tài)不穩(wěn)定、工作人員掌握的設(shè)備運(yùn)行信息缺乏實(shí)效性、工作人員采用傳統(tǒng)的經(jīng)驗(yàn)分析方法根據(jù)人工巡檢方式獲得的信息制定決策方案,所以采鹵系統(tǒng)中設(shè)備的故障率及損耗率高,影響了鹵水的穩(wěn)定開(kāi)采和正常生產(chǎn)。在這樣的背景下,鹽湖鹵水資源的合理穩(wěn)定開(kāi)采成為了一個(gè)嚴(yán)峻的問(wèn)題。因此,為確保鹽湖鹵水資源的合理穩(wěn)定開(kāi)采,則科學(xué)合理的鹵水開(kāi)采決策機(jī)制是其中的關(guān)鍵。本文結(jié)合決策支持系統(tǒng)理論設(shè)計(jì)了一個(gè)有效的鹽湖化工自動(dòng)化采鹵決策支持系統(tǒng)解決方案,主要包括下面幾個(gè)部分的研究工作。首先,本文在分析了采鹵系統(tǒng)鹵水采集現(xiàn)狀和井采生產(chǎn)實(shí)際需求的基礎(chǔ)上,應(yīng)用云計(jì)算、智能決策支持系統(tǒng)等理論設(shè)計(jì)了鹽湖化工自動(dòng)化采鹵決策支持系統(tǒng),并從系統(tǒng)的需求分析、功能結(jié)構(gòu)設(shè)計(jì)、體系架構(gòu)構(gòu)建、數(shù)據(jù)庫(kù)設(shè)計(jì)等方面完成設(shè)計(jì)。然后,本文歸納分析了采鹵泵典型故障的特征趨勢(shì);針對(duì)泵故障診斷時(shí)存在的問(wèn)題及故障判斷方法的優(yōu)勢(shì),選取了合適的分析對(duì)象及研究方法,分析了小波包能量熵特征提取、支持向量機(jī)的具體操作步驟及參數(shù)選擇的依據(jù),并結(jié)合相關(guān)理論構(gòu)建了泵故障診斷模型及泵故障診斷系統(tǒng)。最后,本文分析了系統(tǒng)的開(kāi)發(fā)工具與環(huán)境,展示了系統(tǒng)功能界面的實(shí)現(xiàn)情況,并以青海某鹽湖化工企業(yè)2016年全年的數(shù)據(jù)為例對(duì)系統(tǒng)進(jìn)行測(cè)試。測(cè)試表明,系統(tǒng)能有效地診斷采鹵泵的故障(總體診斷率可達(dá)89.17%),從而驗(yàn)證了整個(gè)系統(tǒng)的可行性和可靠性。本系統(tǒng)的建立實(shí)現(xiàn)了鹽湖井采自動(dòng)化安全生產(chǎn),提高了采鹵系統(tǒng)生產(chǎn)自動(dòng)化管理水平,并為工作人員提供了科學(xué)準(zhǔn)確的分析和決策支持,提高了決策的科學(xué)性及技術(shù)含量,解決了鹽湖化工企業(yè)的落后決策狀況,使化工行業(yè)的決策更具有有效性和科學(xué)性,最終實(shí)現(xiàn)了鹽湖鹵水資源的合理穩(wěn)定開(kāi)采,增加了企業(yè)的生產(chǎn)效益,說(shuō)明了系統(tǒng)的實(shí)現(xiàn)具有現(xiàn)實(shí)意義。
[Abstract]:In recent years, with the development of chemical industry in salt lake, the demand for brine resources is also increasing. Therefore, the enterprises have carried out excessive exploitation of brine resources, resulting in insufficient supply of brine and lack of resources. It affects the sustainable development of salt lake chemical industry. At the same time, because of the unstable operation state of the equipment and the lack of effectiveness of the equipment operation information grasped by the staff, the staff adopt the traditional experience analysis method to make the decision scheme according to the information obtained by manual inspection. Therefore, the failure rate and loss rate of the equipment in brine mining system are high, which affects the stable exploitation and normal production of brine. Against this background, the rational and stable exploitation of brine resources in salt lakes has become a serious problem. Therefore, in order to ensure rational and stable exploitation of brine resources in salt lakes, scientific and reasonable decision-making mechanism of brine exploitation is the key. Based on the theory of decision support system (DSS), an effective solution for automatic brine extraction decision support system for salt lake chemical industry is designed in this paper, which mainly includes the following parts of the research work. Firstly, on the basis of analyzing the present situation of brine collection in brine extraction system and the actual demand of well production, this paper designs the salt lake chemical automatic brine extraction decision support system by using cloud computing, intelligent decision support system and other theories. And from the system requirements analysis, functional structure design, architecture construction, database design and other aspects of the design. Then, the characteristic trend of typical faults of brine pump is summarized and analyzed in this paper. Aiming at the problems existing in pump fault diagnosis and the advantages of fault judgment method, the suitable analysis object and research method are selected, and the feature extraction of wavelet packet energy entropy, the concrete operation steps of support vector machine and the basis of parameter selection are analyzed. A pump fault diagnosis model and a pump fault diagnosis system are constructed based on the related theory. Finally, this paper analyzes the development tools and environment of the system, shows the realization of the system function interface, and takes the data of a chemical enterprise in Qinghai Salt Lake in 2016 as an example to test the system. The test results show that the system can effectively diagnose the fault of the halogen pump (the total diagnostic rate can reach 89.17%), which verifies the feasibility and reliability of the whole system. The establishment of this system realizes the production automation and safety production of salt lake well, improves the level of production automation management of brine mining system, provides scientific and accurate analysis and decision support for the staff, and improves the scientific and technical content of decision making. It solves the backward decision-making situation of the salt lake chemical enterprise, makes the decision of the chemical industry more effective and scientific, finally realizes the rational and stable exploitation of the salt lake brine resources, and increases the production benefit of the enterprise. The realization of the system is of practical significance.
【學(xué)位授予單位】：北京信息科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TS352

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本文編號(hào)：2399868