【作者】 诸葛晶昌；

【导师】 曾周末；

【作者基本信息】 天津大学 ， 精密仪器及机械， 2009， 博士

【摘要】 目前,我国成品油市场正处于高速发展的时期。成品油需求的提升对成品油的输送提出了更高的要求。在众多运输行业之中,成品油管道运输更方便、更快捷、更经济、更安全、更环保。目前,世界成品油管道总长度43万公里,我国已建成品油管道超过1.2万千米。成品油管道运输的技术经济优越性主要体现在成品油的顺序输送上。国外47%的成品油是管道输送的,而我国成品油运输长期依赖铁路,管道运输比例仅为4%,主要是由于我国的成品油管道运输技术相对落后,尚不能实现灵活的多批次、多品种运输,制约了成品油管道运输的经济优越性。成品油管道运输技术主要包括:泄漏检测、混油浓度监测、混油段跟踪和油品切割的自动控制。其中,混油浓度监测关系到泄漏检测的定位精度,以及混油段跟踪和油品切割的效果,也是影响我国成品油管道技术发展的关键。本文在课题组前期工作基础上,对成品油管道油品检测技术和电子云导体模型进行深入研究,建立了成品油电子云导体模型,提出了一种基于成品油电子云导体模型的混油浓度计算方法,并设计实验对模型和混油浓度计算方法进行验证。构建了一套基于电子云导体模型的成品油油品在线检测系统。理论证明,该系统不仅能检测管道内油品介质,而且能够对管道内混油浓度进行监测,实现对混油段的跟踪。本文主要进行以下几方面的工作:1.深入研究电子云导体模型的建立、性质以及影响因素,提出并建立了成品油电子云导体模型,并且考虑到了成油品中的电子云空间相对于单个电子情况下的变化,分析了成品油电子云导体模型的等效体积、形状以及与光波相对位置的影响。2.提出了一种对电子云导体折射能的模拟仿真方法,通过ANSYS对电子云导体线圈匝数、线圈大小、电子云导体体积、电子云导体形状、电子云导体与光波磁场相对位置等因素变化对折射能大小以及折射能在电子云导体中分布的影响进行了分析。3.提出了一种基于成品油电子云导体模型的混油浓度计算方法,通过明确构成混油的两种单一油品的电子云导体模型、两种油品在混油中的比例以及混油的电子云导体模型之间的关系,进行混油浓度的计算,并对该混油浓度计算方法进行了实验验证。4.研制了一套实验装置,通过对单一油品、不同种类油品各种比例混油以及相同种类不同型号油品各种比例的混油进行一系列实验,验证了成品油电子云导体模型的正确性和基于电子云导体模型的混油浓度测量可行性。5.设计了一套基于电子云导体模型的成品油油品在线检测系统,详细给出了系统的工作原理和混油的检测原理,理论上证明了该系统可以通过对流经采样点的油品进行在线检测而实现混油浓度的监测,并且根据各个采样点的位置和混油浓度变化的时刻完成对混油段的跟踪。更多还原

【Abstract】 At present, our country’s product oil market is developing rapidly. The increasing need of product oil demands more highly level of product oil transportation. Pipeline transportation of product oil is more convenient, faster, more economical, more environment-friendly and safer, among transportation industries. So far, product oil pipelines of the world are 430,000 kilometers long in total, while product oil pipelines of our country have been more than 12,000 kilometers long. The economization superiority of the product oil transportation technology is mainly embodied in sequential product oil transportation. 47% of the whole product oil transportation is pipeline transportation in overseas, while our country’s product oil transportation is dependent on railways in a long time, and percentage of pipeline transportation in product oil is just 4%. The principal reason lies in our country’s undeveloped technology of pipeline transportation of product oil, therefore our country can’t flexibly transport product oil in multi-batch and multi-type way, which restricts the economization superiority in product oil pipeline transportation.The main technology of pipeline transportation of product oil is as follows: Leakage Detection, Oil Mixture Concentration Detection, Oil Mixture Area Track, Oil Mixture Area Cutting Automation Control. Oil Mixture Concentration Detection affects positioning accuracy of Leakage Detection and the result of Oil Mixture Area Track and Oil Mixture Area Cutting. Furthermore Oil Mixture Concentration Detection is the key to our country’s technology development of product oil pipeline transportation.Based on the previous team work, this dissertation involves the in-depth study on the Detection Technology of Pipeline Product Oil and the IMEC (Inductor Model of Electron Cloud). This dissertation also constructs the IMEC of product oil and proposes a method based on the IMEC of product oil to calculate the oil mixture concentration and designs experiment to test and verify the IMEC of product oil and the method of calculating the oil mixture concentration and sets up an Online Detection System of Product Oil based on IMEC of product oil. It has been proved theoretically that this system can detect not only the product oil medium in the pipeline but also the oil mixture’s concentration in the pipeline, and can track the oil mixture field. The major study of this dissertation covers the following aspects:1. It involves the in-depth study on the construction of the IMEC and its properties and influencing factors and proposes and constructs the IMEC of product oil and analyzes the influences induced by the equivalent volume, shape and relative location to the light waves of IMEC of product oil with the changes of electron cloud space in product oil relative to a single electron into consideration;2. It proposes a method to simulate the Refraction Power of the Inductor of Electron Cloud and through the software ANSYS, analyzes changes of the value of refraction power and the distribution of refraction power in IMEC induced by the changes of the IMEC’s coil’s turns, IMEC’s coil’s size, IMEC’s volume, IMEC’s shape and IMEC’s relative location to magnetic field of light waves;3. It proposes a method to calculate the oil mixture concentration based on the IMEC of product oil, which can calculate the oil mixture concentration with the clearness of the relation between the IMEC of the two types of pure product oil comprising the oil mixture, the proportion of the two pure product oil in oil mixture and the IMEC of oil mixture and has tested and verified the method;4. It designs and produces a set of experiment device and tests and verifies the correctness of the Inductor Model of Electron Model of product oil and the feasibility of the Oil Mixture Concentration Detection based on the IMEC of product oil;5. It designs a set of detection system of the product oil based on the IMEC of product oil, and elaborates on the working principle of the system and the detecting principle of oil mixture, and proves theoretically that this system can monitor the oil mixture concentration through the online test of the product oil in sampling sites and can track the oil mixture area at all the times according to the location of every sampling site and changes of the oil mixture concentration.更多还原