基于LabVIEW的自升沉式潜标模拟测试系统设计

自升沉式潜标正式布放使用前应进行大量的测试试验工作。为了能够在岸边或实验室对潜标的各项性能进行验证和调试工作,开发了基于LabVIEW的潜标模拟测试系统。该系统充分利用虚拟仪器的特点,采用模块化编程技术,利用软件模拟潜标在水下的各种运动状态及传感器感应的测量参数变化,或通过对现场测量数据的回放查找分析潜标系统本身存在的缺陷,实现潜标不下水或少下水就可以进行全面测试的目的。实验结果表明,利用模拟测试系统可以进行固定值、极值和连续变化值模拟,能够缩短设备开发周期,优化系统控制方案,对提高产品质量具有非常重要的作用。     

基于Android的移动公交辅助导航系统设计与实现

基于Android移动开发平台,设计一款公交辅助导航软件系统。基于Android操作系统,结合SQLite数据库和百度地图应用程序编程接口,通过全球定位系统实时定位用户当前位置,完成公交线路查询、公交站点查询、出行线路规划等功能。同时,包括离线查询和在线查询,能满足用户在不同情况下完成公交信息查询和路线规划。创新性地提出了效率较高的"基于线路与站点的直达车搜索算法"、"基于直达车线路和站点的换乘车搜索算法"。实验结果表明,系统能运行于基于Android系统的移动设备,为用户出行带来方便。     

Optimizing layout of pumping well in irrigation district for groundwater sustainable use in northwest China

Optimizing layout of pumping well plays a vital role in curbing the groundwater level decline. A novel optimization model is presented in this study. First, the optimal well number is obtained by taking into account factors of local economy and environment based on nonlinear programming model. Then, the well spatial layout assessment model is attained based on information entropy weight and technique for order preference by similarity to ideal solution (TOPSIS). After that, the relative closeness to positive ideal solution of alternative (c_i) on the rationality of well spatial layout in cultivated land is calculated, and a set of alternatives are ranked according to the descending order of c_i. Finally, the well optimization layout is obtained by combining the optimal well number with well spatial layout assessment result based on the GIS data of pumping wells. As a case study, this method was applied in Yongchang Irrigation District of Shiyang River Basin, the arid region of northwest China. Results show that under the conditions of sustainable use of water resources, the irrigation district needed 724 wells for irrigation, with a decrease of 31.0% when compared with the existing number of wells. The wells with low flow rate and operating efficiency distributed in high density where groundwater is over‐exploitation were recommended to be closed. This well optimization layout method is expected to play a significant role in helping make plans for exploiting groundwater at more sustainable level, curbing the groundwater level decline trend, and improving the local ecological environment. Copyright © 2015 John Wiley & Sons, Ltd.     

GIS专业的Java程序设计教学改革初探

Java语言的独特优势促使其在GIS专业教学中起到越来越重要的作用。本文分析了GIS专业教学中Java程序设计课程教学存在的问题,结合武汉理工大学GIS专业的Java程序设计课程的改革实践,提出了总体的改革思路,并从教学、实践、考核等几个方面提出了具体的改革要求和内容。该门课程的教学改革能推动GIS专业的Java程序设计语言的学习,提高学生的实践动手能力和解决GIS专业问题的能力。同时,该教学改革模式对兄弟院校的GIS专业程序设计语言方面的教学实践能起到相应的借鉴作用。     

Agricultural effluent control under uncertainty: An inexact double-sided fuzzy chance-constrained model

An inexact double-sided fuzzy chance-constrained programming (IDFCCP) method was developed in this study and applied to an agricultural effluent control management problem. IDFCCP was formulated through incorporating interval linear programming (ILP) into a double-sided fuzzy chance-constrained programming (DFCCP) framework, and could be used to deal with uncertainties expressed as not only possibility distributions associated with both left- and right-hand-side components of constraints but also discrete intervals in the objective function. The study results indicated that IDFCCP allowed violation of system constraints at specified confidence levels, where each confidence level consisted of two reliability scenarios. This could lead to model solutions with high system benefits under acceptable risk magnitudes. Furthermore, the introduction of ILP allowed uncertain information presented as discrete intervals to be communicated into the optimization process, such that a variety of decision alternatives can be generated by adjusting the decision-variable values within their intervals. The proposed model could help decision makers establish various production patterns with cost-effective water quality management schemes under complex uncertainties, and gain in-depth insights into the trade-offs between system economy and reliability.     

有限元与改进单纯形法联合编程技术在位移反分析中的应用

根据弹性地基梁法基本思想,考虑基坑分步开挖和逐级加撑的动态施工因素,通过有限元计算模拟基坑实际开挖过程。结合现场监测数据,采用位移反分析方法反演各土层m 值,并准确预测后续工况支护体的变形。采用有限元通用软件ANSYS内嵌的APDL语言编程建立支护体有限元计算模型,并应用数学软件MATLAB编制“改进单纯形法”优化程序,编写了接口程序,实现了MATLAB对ANSYS模型的实时循环调用和逐步寻优。武汉长江隧道武昌明挖段基坑工程算例证明,基于单纯形法的联合编程技术能方便、高效地被应用于支护体位移反分析预测中。建立了基于本工况预测下一工况或相邻断面的扩展型位移反分析预测模型,预测结果与实测结果拟合程度较高。     

Spatial interpolation using nonlinear mathematical programming models for estimation of missing precipitation records

Abstract

New mathematical programming models are proposed, developed and evaluated in this study for estimating missing precipitation data. These models use nonlinear and mixed integer nonlinear mathematical programming (MINLP) formulations with binary variables. They overcome the limitations associated with spatial interpolation methods relevant to the arbitrary selection of weighting parameters, the number of control points within a neighbourhood, and the size of the neighbourhood itself. The formulations are solved using genetic algorithms. Daily precipitation data obtained from 15 rain gauging stations in a temperate climatic region are used to test and derive conclusions about the efficacy of these methods. The developed methods are compared with some naïve approaches, multiple linear regression, nonlinear least-square optimization, kriging, and global and local trend surface and thin-plate spline models. The results suggest that the proposed new mathematical programming formulations are superior to those obtained from all the other spatial interpolation methods tested in this study.

Editor D. Koutsoyiannis; Associate editor S. Grimaldi

Citation Teegavarapu, R.S.V., 2012. Spatial interpolation using nonlinear mathematical programming models for estimation of missing precipitation records. Hydrological Sciences Journal, 57 (3), 383–406.     

Assessment of sediment transport approaches for sand-bed rivers by means of machine learning

Abstract

The quantification of the sediment carrying capacity of a river is a difficult task that has received much attention. For sand-bed rivers especially, several sediment transport functions have appeared in the literature based on various concepts and approaches; however, since they present a significant discrepancy in their results, none of them has become universally accepted. This paper employs three machine learning techniques, namely artificial neural networks, symbolic regression based on genetic programming and an adaptive-network-based fuzzy inference system, for the derivation of sediment transport formulae for sand-bed rivers from field and laboratory flume data. For the determination of the input parameters, some of the most prominent fundamental approaches that govern the phenomenon, such as shear stress, stream power and unit stream power, are utilized and a comparison of their efficacy is provided. The results obtained from the machine learning techniques are superior to those of the commonly-used sediment transport formulae and it is shown that each of the input combinations tested has its own merit, as they produce similarly good results with respect to the data-driven technique employed.

Editor Z.W. Kundzewicz     

全站仪数据格式转换程序设计与实现

在分析数据存储文件格式的基础上,设计了数据的读取算法,对观测数据进行自动化识别,生成标准记录格式的观测数据文件和CASS通用编码格式的展点数据文件,从而减轻了内业数据处理工作量,提高了工作效率。     

基于Casiofx-9860GSD计算器的公路线路计算软件设计与开发

基于Casio fx-9860 G SD型计算器的特性,笔者利用VS2008开发出能够读取、处理维地道路系统生成的Excel直曲表,并能生成计算器能读取的线元串列数据库文件的软件。然后利用生成的串列文件在计算器中进行线路任意里程正反算。实现了公路平面设计参数的自动转换、输入。本文着重介绍软件开发、工程实例中遇到的问题和解决方法。通过多个工程实践证明,该系统可以很好地帮助测量技术人员快速、准确地进行横断面测量、线路中边桩放样、线路地形图等工作,提高了线路测量的效率和规范性。