【作者】 王宜军；

【导师】 张献州；

【作者基本信息】 西南交通大学 ， 大地测量学与测量工程， 2011， 硕士

【摘要】 变形监测是为了监视地表、工程建筑物及设施等变形体的变形情况而进行的长期性、重复性的测量工作,其关键在于捕捉变形体的变形敏感部位和各观测周期间变形观测点的变形信息。虽然现在GPS测量方法、摄影测量方法以及其他测量方法都用在该领域得到了较好的运用。但传统的常规大地测量方法仍然是人类进行工程建筑物变形监测的主要手段。在一些有关的技术领域内,其他技术(如现代空间定位技术)尚无法替代传统的常规大地测量方法。变形监测的观测精度要求高,数据处理分析复杂,需要一个高精度的数据处理软件进行监测数据处理。同时,由于变形监测数据量大,质量控制及规范化、标准化管理难度大,需要对数据进行分类归档存储。而现有的变形监测系统在功能上不能同时满足数据处理和管理功能,对于某些工程,需要对变形信息进行预测分析,例如高速铁路沉降评估,因此,设计一个集数据处理,管理和预测分析于一体的系统显得十分重要。本文系统地研究了变形监测网数据处理方法和相关预测分析模型。用基于最小二乘原理的迭代算法改进指数曲线模型、三点法模型等模型的计算方法。并研究基于时空的内插修正模型,实现区域地面沉降的沉降数据修正。通过上述研究,采用VC#.NET作为开发工具,以MYSQL为基本的数据库系统,以Excel和文本形式作为成果输出格式,以.jpg和.dwg格式作为图形输出格式,研发了变形监测数据处理与预测分析系统,该系统的主要功能是处理和管理变形监测数据,数据处理完成后输出完整的精度统计信息,并可对变形信息进行预测分析,同时系统还提供变形数据和预测信息成果输出功能。该系统由数据处理子系统、数据管理子系统、图形绘制子系统、预测分析子系统、成果输出子系统和区域沉降数据修正子系统六个子系统组成。在对实测数据处理和预测分析的基础上,验证本系统数据处理模块和预测分析等模块运行的正确性。更多还原

【Abstract】 Deformation monitoring is a long-term and repeating survey work that aims at monitoring movements of the earth’s surface, engineering buildings and establishments, which is catching the deformation information in the sensitive deformation positions and each periodic survey. GPS, photogrammetry and other survey methods play an important role in this area. Conventional survey cannot be replaced in some area (modern space location), and still major means of engineering structure’s deformation monitoring.As the deformation monitoring requires higher accuracy, the data processing is quite complicated, monitoring data processing needs a high-precision data processing software. Meanwhile, massive data, quality control and standardized management are difficult, and need to classify stored data. The existing deformation monitoring systems cannot satisfy data processing and management at the same time. Some engineering, such as the high-speed railway settlement evaluation need prediction analysis deformation. Therefore, it is extremely important to develop an integrated system with data processing, management and prediction analysis.In this thesis, the data processing methods of deformation monitoring network and algorithm of prediction model are systematically studied, by Iterative Algorithm of least squares method improved some of the algorithm of index curve model and three points mode prediction model. The research on spatiotemporal correction model is useful for correcting the regional settlement data.On the above basis of the research, the deformation monitoring data processing and prediction analysis system are developed, here the VC#.NET is adopted as the tool, MYSQL are as the basic database system, Excel and text form are as the result output formats,. jpg and.dwg are as the graphics output formats. The main functions of this system are deformation monitoring data processing and management. We can get overall precision statistics information when the system data processing completed, and prediction information, and realize the deformation results output. It consists of five modules:data processing module, data management module, graphics draw module, prediction analysis module, output result module and regional settlement data correction. Finally, Through the use of system processing data and prediction analysis, we can verify the correctness of data process module and prediction analysis module.更多还原