钻井现场监测综合信息平台研究

发布时间：2018-06-04 22:29

本文选题：无线传感器网络 + WEB监测　；参考：《湖北工业大学》2015年硕士论文

【摘要】：为了解决钻井现场数据监测的有线传输弊端,作者面向钻井现场设计了一种集B/S结构与无线传感器网络的综合信息监测平台。监测平台由现场无线传感器网络、网关设备以及远程数据服务器组成。现场无线传感器网络主要是由以树形网络结构布置在井场的无线节点组成,负责数据的采集、传输与汇聚;网关设备是GPRS DTU数据传输单元,完成向数据服务器发送节点采集的数据;远程服务器主要是Web服务器端,为用户提供可通过浏览器访问的信息监测页面。该平台采用了ASP.NET开发框架,并结合了Ajax技术使数据有更高的实时显示能力。系统测试表明,该信息监测平台能够满足钻井现场环境的数据监测的要求;同时为钻井现场的无线传感器网络的数据管理开发提供了实验平台。实现危险区域预警也是保障人员生产作业安全的一项重要课题。对此,论文对井场危险区域的预警也进行了深入研究。通过综合分析,利用无线节点自定位技术、规划危险区域节点部署方式以及改进算法判断规则来实现危险区域预警功能。论文对基础定位算法的原理与常用改进思路深入研究,并针对PIT算法在无线传感器网络中的定位出现In-To-Out与Out-To-In两类错误率较高的问题进行分析,最终通过改进规则提出了一种面向危险区域预警应用的CT-IPIT+定位算法。该算法在改进了内点判断的规则上综合考虑了“边缘效应”的情况,有效降低了Out-To-In的错误率;通过合理选择约束阈值,消除了In-To-Out错误;采用计数方式统计内外判定次数,实现了进一步降低误判总错误率的目的。通过仿真测试的结果表明,改进后的算法总错误率能够控制在6.3%以内。同时,实验测试的结果也验证了仿真结论。论文针对于危险区域预警提出的改进定位算法有效降低了两类错误的比例,提高了定位结果的准确度,也为此功能的实际应用提供了理论基础。
[Abstract]:In order to solve the problem of wired transmission of drilling site data monitoring, the author designed an integrated information monitoring platform based on B / S structure and wireless sensor network. The monitoring platform consists of wireless sensor network, gateway equipment and remote data server. The field wireless sensor network is mainly composed of wireless nodes arranged in the well site with tree network structure, which is responsible for data acquisition, transmission and convergence. The gateway equipment is the GPRS DTU data transmission unit. The remote server is mainly the Web server which provides users with information monitoring pages that can be accessed through the browser. The platform adopts the ASP.NET development framework, and combines the Ajax technology to make the data have higher real-time display ability. The system test shows that the information monitoring platform can meet the requirements of data monitoring in drilling site environment, and it also provides an experimental platform for the development of data management of wireless sensor network in drilling site. It is also an important task to ensure the safety of personnel production and operation to realize the early warning of dangerous areas. In view of this, the paper also carries on the thorough research to the well site danger area early warning. Through comprehensive analysis, using the wireless node self-localization technology, planning the deployment mode of the node in the dangerous area and improving the algorithm judgment rule to realize the early warning function of the dangerous area. In this paper, the principle of the basic localization algorithm and the common improvement ideas are deeply studied, and the problem of high error rate of In-To-Out and Out-To-In in the location of PIT algorithm in wireless sensor networks is analyzed. Finally, an CT-IPIT localization algorithm for early warning applications in dangerous areas is proposed by improving the rules. The algorithm synthetically considers the "edge effect" in the improved rules of interior point judgment, effectively reduces the error rate of Out-To-In, eliminates the In-To-Out error by reasonably selecting the constraint threshold, and counts the number of internal and external judgments. The aim of further reducing the total error rate is achieved. The simulation results show that the total error rate of the improved algorithm can be controlled within 6.3%. At the same time, the experimental results also verify the simulation results. The improved localization algorithm proposed in this paper can effectively reduce the proportion of two kinds of errors, improve the accuracy of the location results, and provide a theoretical basis for the practical application of the function.
【学位授予单位】：湖北工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TE28;TN929.5;TP212.9

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