地震勘探采集控制软件研制及废道处理算法研究
发布时间：2018-11-19 16:27
【摘要】：中央控制软件是大型地震资源勘探装备的核心控制与管理环节,承担着分布式地震波采集系统的控制、地震采集数据的预处理、地震采集数据库的管理以及勘探装备运行控制等重任,是研制大型地震资源勘探装备的主要研究内容之一。本文介绍了陆用大型拖曳式地震勘探系统的总体结构及中央控制软件的主要功能,确定了软件总体设计方案及开发平台,在此基础上完成了系统初始化、数据传输、地震数据的格式标准化转换及数据库等功能模块的设计,实现了中央控制软件的主要功能。鉴于废道的自动处理在地震数据预处理中有着广泛的使用价值,本文基于BP神经网络开展了废道自动处理的探索性研究,分别从样本选取、特征参数提取、神经网络结构设计等方面设计了基于BP神经网络的废道自动处理方法,通过仿真验证初步实现了BP神经网络的废道自动处理。在上述工作的基础上,对中央控制软件和废道自动处理算法进行了测试研究,测试结果表明中央控制软件运行稳定,实现了所要求的主要功能；基于BP神经网络的废道自动处理方法具有一定的可行性。
[Abstract]:The central control software is the core control and management link of large-scale seismic resources exploration equipment. It is responsible for the control of distributed seismic wave acquisition system and the preprocessing of seismic acquisition data. The management of seismic acquisition database and the operation control of exploration equipment are one of the main research contents in the development of large-scale seismic resources exploration equipment. This paper introduces the overall structure of large towed seismic exploration system for land and the main functions of the central control software, and determines the overall design scheme and development platform of the software. On this basis, the system initialization and data transmission are completed. The main functions of the central control software are realized by the design of the functional modules such as the standardized transformation of seismic data format and database. In view of the extensive application value of automatic disposal of waste track in seismic data preprocessing, this paper carries out exploratory research on automatic disposal of waste track based on BP neural network, which selects samples and extracts feature parameters, respectively. The automatic disposal method of waste track based on BP neural network is designed in the aspect of neural network design, and the automatic disposal of waste road based on BP neural network is preliminarily realized by simulation verification. On the basis of the above work, the central control software and the automatic processing algorithm of waste road are tested and studied. The test results show that the central control software runs stably and achieves the required main functions. The automatic disposal method based on BP neural network is feasible.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P631.4
本文编号：2342828
[Abstract]:The central control software is the core control and management link of large-scale seismic resources exploration equipment. It is responsible for the control of distributed seismic wave acquisition system and the preprocessing of seismic acquisition data. The management of seismic acquisition database and the operation control of exploration equipment are one of the main research contents in the development of large-scale seismic resources exploration equipment. This paper introduces the overall structure of large towed seismic exploration system for land and the main functions of the central control software, and determines the overall design scheme and development platform of the software. On this basis, the system initialization and data transmission are completed. The main functions of the central control software are realized by the design of the functional modules such as the standardized transformation of seismic data format and database. In view of the extensive application value of automatic disposal of waste track in seismic data preprocessing, this paper carries out exploratory research on automatic disposal of waste track based on BP neural network, which selects samples and extracts feature parameters, respectively. The automatic disposal method of waste track based on BP neural network is designed in the aspect of neural network design, and the automatic disposal of waste road based on BP neural network is preliminarily realized by simulation verification. On the basis of the above work, the central control software and the automatic processing algorithm of waste road are tested and studied. The test results show that the central control software runs stably and achieves the required main functions. The automatic disposal method based on BP neural network is feasible.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：P631.4
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