本文選題：示功圖 + 故障診斷　； 參考：《哈爾濱工業(yè)大學》2015年碩士論文

【摘要】：石油在當今社會中起著重要作用,是當前人類社會不可或缺的一部分。目前開采石油的方式多種多樣,而其中占主導地位的是有桿采油方式。有桿采油系統(tǒng)工作環(huán)境較為復雜,因而經(jīng)常發(fā)生故障。這些故障嚴重阻礙了油田正常生產(chǎn)。對抽油機故障診斷技術的研究是很有必要的。通過物聯(lián)網(wǎng)提取抽油機運行參數(shù),可以實現(xiàn)對抽油機工作狀態(tài)的實時監(jiān)測。本文基于物聯(lián)網(wǎng)對抽油機故障診斷方法進行研究,深入研究了基于專家系統(tǒng)以及基于最小二乘的抽油機故障診斷法,對比了兩種方法的優(yōu)缺點,并提出將兩種方法結合的故障診斷思路。論文主要工作如下:(1)總結了物聯(lián)網(wǎng)技術和抽油機故障診斷技術的研究現(xiàn)狀,設計了故障診斷系統(tǒng)的硬件設備組成,詳細研究了抽油機故障診斷系統(tǒng)網(wǎng)絡組網(wǎng)過程,包括遠程監(jiān)測終端與傳感器之間的Zig Bee組網(wǎng)以及遠程監(jiān)測終端與上位機之間的GPRS通信,設計了監(jiān)測數(shù)據(jù)傳輸過程。(2)在介紹了抽油機工作原理以及示功圖的基礎上,研究了地面示功圖與井下泵功圖的轉換方法——求解波動方程,給出了系統(tǒng)的理論基礎。(3)研究了抽油機故障模式以及示功圖的故障特征,建立了故障診斷專家系統(tǒng),包括知識庫的建立以及推理規(guī)則的實現(xiàn),并對系統(tǒng)進行了測試。(4)研究了基于最小二乘的故障診斷系統(tǒng),包括最小二乘故障診斷法的原理以及系統(tǒng)組建過程,并對系統(tǒng)進行了測試,論文對比了故障診斷專家系統(tǒng)以及最小二乘故障診斷系統(tǒng),提出了兩種方法結合的診斷思路。分析表明,本系統(tǒng)能夠更好的進行故障診斷,能夠滿足油田故障診斷的需求。
[Abstract]:Oil plays an important role in today's society and is an indispensable part of the current human society. At present, there are a variety of ways to exploit oil, among which the dominant one is rod production. The working environment of rod-rod production system is more complex, so it often breaks down. These failures have seriously hindered the normal production of the oil field. It is necessary to study the fault diagnosis technology of pumping unit. By using the Internet of things to extract the operating parameters of the pumping unit, the real-time monitoring of the working state of the pumping unit can be realized. In this paper, the fault diagnosis method of pumping unit based on Internet of things is studied, and the fault diagnosis method of pumping unit based on expert system and least squares is studied, and the advantages and disadvantages of the two methods are compared. A fault diagnosis method combining the two methods is put forward. The main work of this paper is as follows: (1) summarizing the research status of the Internet of things technology and the fault diagnosis technology of pumping units, designing the hardware components of the fault diagnosis system, and studying in detail the network networking process of the fault diagnosis system for pumping units. Including the Zig Bee network between the remote monitoring terminal and the sensor, the GPRS communication between the remote monitoring terminal and the host computer, and the design of the monitoring data transmission process. In this paper, the conversion method between the surface dynamometer and the downhole pump power diagram is studied. The wave equation is solved. The theoretical basis of the system is given. The fault mode of the pumping unit and the fault characteristics of the indicator diagram are studied, and the fault diagnosis expert system is established. Including the establishment of knowledge base and the realization of inference rules, and the system is tested. 4) the fault diagnosis system based on least squares is studied, including the principle of least squares fault diagnosis method and the process of system construction. The paper compares the fault diagnosis expert system with the least square fault diagnosis system, and puts forward the diagnosis thought of combining the two methods. The analysis shows that the system can better carry out fault diagnosis and meet the needs of oil field fault diagnosis.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TE933.1

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本文編號：1842586