本文選題：深水鉆機 + 集成監(jiān)控系統(tǒng)��； 參考：《中國石油大學(xué)(華東)》2015年博士論文

【摘要】：深水鉆機是海洋油氣開發(fā)的關(guān)鍵裝備,深水鉆機集成監(jiān)控系統(tǒng)是其重要組成部分,是集控制、監(jiān)測和監(jiān)視一體化的復(fù)雜大系統(tǒng),是海上安全、高效鉆井作業(yè)的保證。由于處于海洋環(huán)境,對深水鉆機集成監(jiān)控系統(tǒng)可靠性要求更高,隨著深水鉆機配套設(shè)備的增多及自動化程度的提高,集成監(jiān)控難度不斷加大。目前,該方面研究歐美發(fā)達國家處于壟斷地位。因此,進行自主知識產(chǎn)權(quán)的深水鉆機集成監(jiān)控系統(tǒng)關(guān)鍵技術(shù)和理論研究具有重要戰(zhàn)略意義。本文依托“十二五”863計劃重大課題,對水深3000m、鉆深10000m的半潛式鉆井平臺深水鉆機集成監(jiān)控系統(tǒng)開展研究。首先,開展了深水鉆機集成監(jiān)控系統(tǒng)總體方案設(shè)計�？紤]深水鉆井的特殊性,在分析深水鉆機集成監(jiān)控系統(tǒng)相關(guān)影響因素的基礎(chǔ)上,研究深水鉆機集成監(jiān)控系統(tǒng)的非功能性和功能性需求;對深水鉆機集成監(jiān)控系統(tǒng)功能結(jié)構(gòu)進行研究,劃分其功能模塊,對特殊功能模塊進行了深入分析;對深水鉆機集成監(jiān)控系統(tǒng)進行整體層次劃分,完成了物理架構(gòu)設(shè)計和邏輯架構(gòu)設(shè)計;提出基于工業(yè)以太網(wǎng)的深水鉆機集成監(jiān)控系統(tǒng)總體架構(gòu);完成了基于WinCC的深水鉆機集成監(jiān)控系統(tǒng)人機界面設(shè)計。其次,開展了深水鉆機集成監(jiān)控系統(tǒng)的可靠性冗余優(yōu)化配置研究。針對可靠性冗余配置存在成本、體積、重量顯著增加的問題,對串并聯(lián)和并串聯(lián)結(jié)構(gòu)進行對比分析;以可靠度、成本、體積、重量為優(yōu)化目標,開展多目標可靠性冗余優(yōu)化配置研究;針對元器件或組件的多樣性和冗余數(shù)的不確定性,采用智能算法混合策略,提出了一種改進遺傳算子的GAG1-IASGA算法;并對其性能和優(yōu)化結(jié)果與其它算法進行詳細對比分析,獲得了多目標可靠性冗余優(yōu)化配置方案,為深水鉆機集成監(jiān)控系統(tǒng)可靠性優(yōu)化設(shè)計提供重要參考。再次,開展了深水鉆機集成監(jiān)控系統(tǒng)的組網(wǎng)優(yōu)化配置研究。針對局部網(wǎng)絡(luò)擁塞嚴重問題,對深水鉆機集成監(jiān)控系統(tǒng)網(wǎng)絡(luò)結(jié)構(gòu)進行深入研究;以通過交換機的總流量、流量分布作為優(yōu)化目標,開展深水鉆機集成監(jiān)控系統(tǒng)的組網(wǎng)優(yōu)化配置研究,提出了一種基于模擬退火算法的APSO-GA混合算法;并對其性能和優(yōu)化結(jié)果與其它算法進行詳細對比分析,獲得了多目標組網(wǎng)優(yōu)化配置方案,為深水鉆機集成監(jiān)控系統(tǒng)組網(wǎng)優(yōu)化設(shè)計提供理論依據(jù)。最后,基于本文優(yōu)化設(shè)計方案設(shè)計搭建了深水鉆機集成監(jiān)控系統(tǒng)網(wǎng)絡(luò)測試實驗平臺,探索研究網(wǎng)絡(luò)系統(tǒng)測試方法、手段和工具,按照國家規(guī)范,對系統(tǒng)進行了調(diào)試,對CPU、服務(wù)器、單環(huán)網(wǎng)通信、雙環(huán)網(wǎng)通信、環(huán)間耦合和電源等進行了冗余功能測試,利用典型測試用例進行了控制功能和遠程監(jiān)控功能測試,對連通性、冗余自愈性、網(wǎng)絡(luò)時延、時延抖動、丟包率、吞吐量等網(wǎng)絡(luò)性能進行測試與分析,證明了系統(tǒng)網(wǎng)絡(luò)傳輸?shù)目焖傩�、實時性、穩(wěn)定性和可靠性,同時驗證了優(yōu)化設(shè)計的合理性和有效性,為設(shè)置PLC的掃描周期提供依據(jù),為優(yōu)化網(wǎng)絡(luò)結(jié)構(gòu)和配置、提高系統(tǒng)網(wǎng)絡(luò)性能提供有效依據(jù),為更加有效地進行網(wǎng)絡(luò)性能管理提供技術(shù)支持。
[Abstract]:Deepwater drilling rig is the key equipment of marine oil and gas development. The integrated monitoring and control system of deepwater drilling rig is an important part of it. It is a complex system with integrated control, monitoring and monitoring. It is the guarantee of marine safety and high efficiency drilling operation. Because of the marine environment, the reliability of the integrated monitoring system of deep water drill is higher, with deep water drilling. The difficulty of integrated monitoring and control is increasing. At present, the developed countries in Europe and the United States are in a monopoly position. Therefore, the key technology and theoretical research of the integrated monitoring and control system for deepwater drilling rigs with independent intellectual property rights has important strategic significance. This paper relies on the "12th Five-Year" 863 plan. The research of the integrated monitoring system for deep water drilling rig in deep water drilling platform is carried out in a large project. First, the overall plan of the integrated monitoring system for deepwater drilling rig is designed. Considering the particularity of deepwater drilling, on the basis of analyzing the related factors related to the integrated monitoring and control system of deep water drilling rig, the integrated monitoring system of deepwater drilling rig is studied. The non functional and functional requirements of the control system; study the functional structure of the integrated monitoring and control system for deepwater drilling rig, divide its functional modules, analyze the special functional modules, divide the integrated monitoring system of deepwater drilling rig into a whole hierarchy, complete the physical architecture design and logical framework design, and propose based on the industrial ether. The overall framework of integrated monitoring and control system for deepwater drilling rig is constructed, and the design of man-machine interface for integrated monitoring and control system of deepwater drilling rig based on WinCC is completed. Secondly, the reliability redundancy optimization of integrated monitoring and control system of deepwater drilling rig is carried out. The series structure is compared and analyzed; the reliability, cost, volume and weight are the optimization targets, and the multi-objective reliability redundancy optimization configuration is studied. In view of the uncertainty of the diversity and redundancy of components or components, a hybrid strategy of intelligent algorithm is used to improve the GAG1-IASGA algorithm of genetic operators. The results and other algorithms are compared and analyzed in detail, and the multi-objective reliability redundancy optimization scheme is obtained. It provides an important reference for the reliability optimization design of the integrated monitoring system for deepwater drilling rig. Thirdly, the optimization configuration of the integrated monitoring system for deepwater drilling rig is carried out. The network structure of the integrated monitoring and control system is studied in depth. By using the total flow and flow distribution of the switch as the optimization target, the optimal configuration of the integrated monitoring system for deepwater drilling rig is carried out. A APSO-GA hybrid algorithm based on simulated annealing algorithm is proposed, and its performance and optimization results are detailed with other algorithms. In contrast, a multi-objective network optimization configuration scheme is obtained, which provides a theoretical basis for the optimization design of the integrated monitoring system for deepwater drilling rigs. Finally, based on this optimization design scheme, a network test platform for the integrated monitoring and control system of deepwater drilling rig is built, and the methods and tools of network system testing are explored and studied. The system is debugged, and the redundant functions are tested on CPU, server, single loop network communication, double loop network communication, ring coupling and power supply. The control function and remote monitoring function test are carried out with typical test cases, and the network performance, such as connectivity, redundancy self healing, network delay, delay jitter, packet loss rate, throughput and other network performance are introduced. The test and analysis prove the fast, real-time, stability and reliability of the system network transmission, and verify the rationality and effectiveness of the optimization design. It provides the basis for setting the scanning cycle of the PLC, optimizing the network structure and configuration, improving the performance of the system network, and making the network performance management more effective. Provide technical support.
【學(xué)位授予單位】：中國石油大學(xué)(華東)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2015
【分類號】：TE951

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