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1.
灰色预测在建筑物沉降变形分析中的应用   总被引:42,自引:11,他引:31  
陈伟清 《测绘科学》2005,30(5):43-45
本文将灰色系统理论的GM(1,1)模型应用于建筑物沉降变形数据分析,结合南宁市民生广场沉降观测实例,进行沉降预测结果的分析和检验,充分证实了在建筑物沉降变形分析中应用灰色预测方法的可行性。  相似文献   

2.
针对传统非等间距GM(1,1)模型在建筑物沉降监测中预测精度不够高的问题,提出了一种新的非等间距GM(1,1)建模方法。此法基于初始条件改进及把灰色微分方程的白化方程中的灰导数用离散形式进行表示的改进相结合、提高非等间距GM(1,1)模型的建模精度。结合桂林市某广场的集商用、住房于一体的高层建筑的沉降变形监测实例,将本模型的沉降预测的结果同文献中另一非等间距GM(1,1)改进方法进行对比分析和检验,充分验证了建筑物沉降变形分析预报中本模型方法的可行性和优越性,对进一步促进非等间距GM(1,1)模型在沉降变形预测中的应用起到了积极的作用。  相似文献   

3.
通过运用灰色GM(1,1)和Kalman滤波模型分别对某高层建筑物的沉降变形趋势进行分析,得出灰色GM(1,1)适用于短期且变形趋势呈线性变化的变形分析与预测,而Kalman滤波模型不仅适用于短期预测,对于长周期预测也有较高的精度。因此,在观测周期较短时,灰色GM(1,1)和Kalman滤波模型对线性变化的高层建筑物都有较高的预测精度,但是对于较长周期的观测,Kalman滤波模型预测的精度和可靠性要高于灰色GM(1,1)模型。  相似文献   

4.
针对建筑物的沉降问题,在现有的数据基础上,建立新陈代谢GM(1,1)模型来预测建筑物的沉降量,并通过实例与传统灰色模型进行对比.结果表明,优化后的GM(1,1)模型能更好地预测建筑物的沉降发展趋势,具有较强的实用性.  相似文献   

5.
由于非等间隔GM(1,1)灰色模型对于处理数据量小且表达信息不确定的数据具有优越性,因此广泛应用于石油天然气勘探、机床故障诊断、电力负荷预测、大坝安全监测等领域。基于非等间隔GM(1,1)灰色模型理论,利用某小区建筑物沉降观测的实测数据,建立了适合该小区建筑物沉降预测的灰色模型。通过对比理论预测值和实测值,并进行模型对应的精度评定分析,结果表明,此模型适用于该建筑物沉降预测分析的研究。  相似文献   

6.
沉降变形分析与预测对于建筑物的安全运营具有重要作用,建立科学、合理的预测模型对于变形分析极其重要。本文运用GM(1,1)模型与Kalman滤波模型对建筑物沉降变形进行预测。通过实例对比分析表明,GM(1,1)模型较适合短期且变形趋势呈线性或指数分布趋势的变形分析与预测;Kalman滤波模型对短期和较长周期呈波形或线性变形均具有较高预测精度。  相似文献   

7.
介绍了动态非等时距GM(1,1)模型的建模原理、建模过程以及精度评定方法,阐明了动态非等时距GM(1,1)模型中维度选择、残差改正的问题,结合高层建筑沉降监测实例进行分析,将动态非等时距残差GM(1,1)模型预测结果与实测值进行比较,得出动态非等时距残差GM(1,1)模型在建筑物沉降监测中具有很高预测精度的结论,证明了该方法的可行性与可靠性,适用于高层建筑沉降监测.  相似文献   

8.
对新陈代谢GM(1,1)模型所采用的灰色预测方法进行了改进,运用新的代数递推方程替代了原始的灰色微分方程,并利用某建筑物的沉降观测数据进行了预测与分析,结果表明,改进后的新陈代谢GM(1,1)模型的预测精度得到了显著提高。  相似文献   

9.
为了确保建筑物在建设过程中的安全,需要准确掌握建筑物基坑及周边的变形情况。针对建筑物基坑沉降变形预测问题,本文对单一的GM(1.1)模型与BP神经网络模型进行优化并构建组合预测模型。优化组合模型一方面解决了单一预测模型稳定性差、预测精度低的问题,另一方面提高了预测模型的适用性。将本文提出的组合预测模型应用于某在建建筑物基坑沉降变形预测中,结果表明,相较于单一的GM(1.1)模型与BP神经网络模型,本文提出的优化组合预测模型的预测精度与稳定性更高,证明了组合预测模型在建筑物基坑类沉降预测中的可靠性。  相似文献   

10.
非等间隔灰色GM(1,1)模型在沉降数据分析中的应用   总被引:10,自引:3,他引:7  
李斌  朱健 《测绘科学》2007,32(4):52-55
本文用灰色系统理论的非等间隔模型GM(1,1)对西安市朱雀大厦周边建筑物及地表沉降观测数据进行了建模、分析和预测,并且与传统的回归模型拟合结果进行了比较,比较的结果验证了该灰色模型在建筑物及地表沉降变形分析中的实用性、正确性和有效性。  相似文献   

11.
Big data analytics: six techniques   总被引:1,自引:0,他引:1  
Abstract

Big data have 4V characteristics of volume, variety, velocity, and veracity, which authentically calls for big data analytics. However, what are the dominant characteristics of big data analysis? Here, the analytics is related to the entire methodology rather than the individual specific analysis. In this paper, six techniques concerning big data analytics are proposed, which include: (1) Ensemble analysis related to a large volume of data, (2) Association analysis related to unknown data sampling, (3) High-dimensional analysis related to a variety of data, (4) Deep analysis related to the veracity of data, (5) Precision analysis related to the veracity of data, and (6) Divide-and-conquer analysis related to the velocity of data. The essential of big data analytics is the structural analysis of big data in an optimal criterion of physics, computation, and human cognition. Fundamentally, two theoretical challenges, ie the violation of independent and identical distribution, and the extension of general set-theory, are posed. In particular, we have illustrated three kinds of association in geographical big data, ie geometrical associations in space and time, spatiotemporal correlations in statistics, and space-time relations in semantics. Furthermore, we have illustrated three kinds of spatiotemporal data analysis, ie measurement (observation) adjustment of geometrical quantities, human spatial behavior analysis with trajectories, data assimilation of physical models and various observations, from which spatiotemporal big data analysis may be largely derived.  相似文献   

12.
Global climate change has led to significant vegetation changes in the past half century. North China Plain, the most important grain production base of china, is undergoing a process of prominent warming and drying. The vegetation coverage, which is used to monitor vegetation change, can respond to climate change (temperature and precipitation). In this study, GIMMS (Global Inventory Modelling and Mapping Studies)-NDVI (Normalized Difference Vegetation Index) data, MODIS (Moderate-resolution Imaging Spectroradiometer) – NDVI data and climate data, during 1981–2013, were used to investigate the spatial distribution and changes of vegetation. The relationship between climate and vegetation on different spatial (agriculture, forest and grassland) and temporal (yearly, decadal and monthly) scales were also analyzed in North China Plain. (1) It was found that temperature exhibiting a slight increase trend (0.20 °C/10a, P < 0.01). This may be due to the disappearance of 0 °C isotherm, the rise of spring temperature. At the same time, precipitation showed a significant reduction trend (−1.75 mm/10a, P > 0.05). The climate mutation period was during 1991–1994. (2) Vegetation coverage slight increase was observed in the 55% of total study area, with a change rate of 0.00039/10a. Human activities may not only accelerate the changes of the vegetation coverage, but also c effect to the rate of these changes. (3) Overall, the correlation between the vegetation coverage and climatic factor is higher in monthly scale than yearly scale. The correlation analysis between vegetation coverage and climate changes showed that annual vegetation coverage was better correlatend with precipitation in grassland biome; but it showed a better correlated with temperature i the agriculture biome and forest biome. In addition, the vegetation coverage had sensitive time-effect respond to precipitation. (4) The vegetation coverage showed the same increasing trend before and after the climatic variations, but the rate of increase slowed down. From the vegetation coverage point of view, the grassland ecological zone had an obvious response to the climatic variations, but the agricultural ecological zones showed a significant response from the vegetation coverage change rate point of view. The effect of human activity in degradation region was higher than that in improvement area. But after the climate abruptly changing, the effect of human activity in improvement area was higher than that in degradation region, and the influence of human activity will continue in the future.  相似文献   

13.
罗玲 《测绘科学》2005,30(4):110-112
依据《测绘科学》2000-2004年发表的论文进行引文统计。论文从引文数量、类型、语种、年代分布、普赖斯指数及自引等7个方面予以分析,并对该刊的学术影响力和办刊风格进行了评价。期刊的引文具有很高的情报评价价值,这种价值通过引文分析得到了全面的体现。有学者[5]曾研究出这样的结论,无论采用哪种方法来评价期刊,其结果与引文分析的结果具有很强的相关性。  相似文献   

14.
介绍加速器的整体稳定性分析的过程和方法,就是利用每年一度的加速器的水准测量所得的垂直偏差来分析加速器和隧道的稳定性,整个分析过程分为四个阶段:1)数据的筛选和恢复;2)建立一种不受数据处理基准和其它不确定因素影响的且能精确反映。加速器变形的技术;3)建立一种能区分加速器变形和隧道变形的技术;4)对其变形进行分析和描述。  相似文献   

15.
Three years of TOPEX/POSEIDON altimeter data have been processed at Delft Institute for Earth-Oriented Space Research (DEOS) to solve the major diurnal and semi-diurnal constituents of the global ocean tide using the two classical methods of tidal analysis, i.e. the harmonic and response analyses. Some experiments with the parameters in the response formalism show that the tidal admittance in both the diurnal and semi-diurnal band can be adequately described with a lag interval of 2 days and a number of lags of three. Results of both methods are evaluated from the differences with the most recent Grenoble hydrodynamic model (FES95.2) and from the fit with the harmonic constants of a globally distributed set of tide gauges. It was found that the solutions of the two methods differ at the millimeter level and are thus fully equivalent, which is confirmed by the tide gauges and the differences with FES95.2. From the comparisons with the Grenoble model it was found that the M 2 and S 2 solutions of that model likely contain bathymetric errors which are of the order of 1–2 cm for M 2 and 0.5 cm for S 2. Received: 18 December 1996 / Accepted: 12 May 1997  相似文献   

16.
S. Bian  J. Menz 《Journal of Geodesy》1998,72(7-8):473-481
In this paper an alternative approach to spherical harmonic analysis is investigated which uses piecewise linear interpolations (PLIs) to replace conventional block mean values (BMVs). Detailed formulations for using PLIs in spherical harmonic analysis are systematically developed. Research shows that BMVs give rise to larger errors than PLIs. Error estimations for the two approaches are given, convincingly showing that PLIs yield much better results than BMVs. Many numerical examples are illustrated and numerically show that PLIs are more reliable and applicable than BMVs. Received: 8 October 1996 / Accepted: 6 March 1998  相似文献   

17.
Show me the code: spatial analysis and open source   总被引:3,自引:1,他引:2  
This paper considers the intersection of academic spatial analysis with the open source revolution. Its basic premise is that the potential for cross-fertilization between the two is rich, yet some misperceptions about these two communities pose challenges to realizing these opportunities. The paper provides a primer on the open source movement for academicians with an eye towards correcting these misperceptions. It identifies a number of ways in which increased adoption of open source practices in spatial analysis can enhance the development of the next generation of tools and the wider practice of scientific research and education.
Sergio J. ReyEmail:
  相似文献   

18.
介绍了地图代数的三种距离变换算法,采用了Visual Basic语言进行程序设计,实现了距离变换算法,为GIS空间分析提供了新思路。  相似文献   

19.
《The Cartographic journal》2013,50(3):249-267
Abstract

Analysis of eye movements has been used for decades as a method for assessing the performance of visual stimuli. Until recently, this has mainly been applied to static and non-cartographic stimuli, but due to technological developments and reduced cost of equipment, interactive and cartographic applications are now feasible. suggest a new analysis method which applies Hägerstrand’s Space-Time-Cube (STC; ) to eye movement data. However, in an interactive three-dimensional STC, identifying and exploring key behaviours can be difficult. In order to ameliorate these difficulties, we propose a variation of the STC method, which uses two-dimensional projections of the STC onto the XT and YT planes. These two-dimensional projections are found to facilitate rapid identification of significant patterns in the data set. A prototype implementing this and other dynamical methods has been developed, and is presented with examples illustrating the benefits of working with two-dimensional projections of the STC.  相似文献   

20.
The image analysis system ASEAN (Advanced System for Environmental ANalysis with Remote Sensing Data) was designed and programmed by a software development group, ImaSOFr, Department of Remote Sensing Technology and GIS, Institute for Geography, National Centre for Natural Science and Technology of Vietnam under technical cooperation with the Remote Sensing Technology Centre of Japan and financial support from the National Space Development Agency of Japan. ASEAN has been in continuous development since 1989, with different versions ranging from the simplest one for MS-DOS with standard VGA 320×200×256 colours, through versions supporting SpeedStar 1.0 and SpeedStar PRO 2.0 true colour graphics cards, up to the latest version named WinASEAN, which is designed for the Windows 3.1 operating system. The most remarkable feature of WinASEAN is the use of algorithms that speed up the image analysis process, even on PC platforms. Today WinASEAN is continuously improved in cooperation with NASDA (National Space Development Agency of Japan), RESTEC (Remote Sensing Technology Center of Japan) and released as public domain software for training, research and education through the Regional Remote Sensing Seminar on Tropical Eco-system Management which is organised by NASDA and ESCAR In this paper, the authors describe the functionality of WinASEAN, some of the relevant analysis algorithms, and discuss its possibilities of computer-assisted teaching and training of remote sensing.  相似文献   

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