摘要
水文信息一般通过水文站网来采集,及时准确的水文信息采集和分析是各项水利工作的基础。传感器网络能够及时获取监测对象的多种客观信息,在水文信息采集中具有十分广阔的应用前景。将水文传感器网络应用到水文站网进行优化部署,或对现有部署方案进行进一步调整优化,在解决水文信息采集自动化、水情实时监测、提高站网监测精度及时效性等问题方面,具有重要的理论和现实意义。
本文针对水文信息采集存在的问题,深入分析了传感器网络在物理拓扑、密度分析等方面的优点,研究了水文传感器网络的水文分区问题,提出了节点的规划部署及部署优化的方案,并应用在淮河淮南支流信阳市地区。
论文主要内容如下:
(1)回顾并分析了水文分区、水文站网规划、传感器网络等相关理论,探讨了水文站网规划与传感器网络的研究前沿问题,并结合水文传感器网络在水文信息采集方面的应用,提出本文研究的主要问题。
(2)深入研究了聚类分析方法,并将其应用于水文传感器网络分区。为了研究水文分区的特征,以多种水文参数为指标,考虑传感器节点的分层、节点可靠度及数据的汇总方式,根据河流上下游水文特征差异及行政区划,进行水文传感器网络分区研究,获得了较为满意的分区效果。
(3)根据流域特征,采用面平均雨量降雨模型,结合流量监测节点部署的直线原则,初步设计出部署方案,并对研究区域内的雨量、流量、水位、蒸发等不同类型的传感器节点进行了部署,采用对比分析法,对该方案进行论证,结果表明,该方案在一定程度上满足水文监测要求。
(4)分析了影响水文传感器网络部署优化的水文、网络、通讯、传感器节点等主要因素,确定出传感器网络的物理拓扑、密度分析的优化标准,根据GAF优化算法,对网络节点初步部署方案进行了优化处理,在提高站网监测精度和信息采集时效性方面获得了较为满意的效果。
Hydrological information is generally collected through the network of hydrological stations, timely and accurate hydrological information collection and analysis is based on the work of the Water. Sensor network can monitor the object timely access to objective information, the hydrological information collection has a very broad application prospects. Hydrological sensor networks will be applied to optimize the hydrologic network deployment, or deployment of existing programs to further adjust and optimize, in addressing the hydrological information collection automation, real-time monitoring regimen to improve the monitoring network for the accuracy and timeliness of such issues has important theoretical and practical significance.
This hydrological information collection for the problems, in-depth analysis of the sensor network physical topology, density analysis of the advantages to study the hydrological sensor network partition problem, a node deployment planning and deployment optimization programs, and applications Huai River tributaries of Xinyang City area.
This dissertation includes forth parts, which are introduced in details as follows:
(1) Retrospective analysis of the hydrological area, hydrological station network planning, sensor networks and other related theories discussed hydrological station network planning and sensor networks research frontier problems, combined with hydrological sensor networks in hydrological information collection aspects of the application, put forward the main issues this paper.
(2) In-depth study of the cluster analysis, and applied to hydrological sensor network partition. In order to study regional hydrological characteristics of a variety of hydrological parameters for the index, consider the hierarchical sensor nodes, node reliability, and data summary way, according to characteristics of the river between the upstream and downstream hydrological and administrative divisions to carry out hydrographic partition of sensor networks, access partition effect is satisfactory.
(3) According to watershed characteristics, rainfall model using surface average rainfall, combined with the deployment of traffic monitoring nodes in a straight line principle, the preliminary design of a deployment plan, and within the study area, rainfall, flow, water level, evaporation and other types of sensor nodes deployment, using Comparative analysis, demonstration of the program, the results show that the program to some extent to meet the hydrological monitoring requirements.
(4) Analysis of the impact of hydrological sensor network deployment optimization, network, communications, sensor nodes and other major factors that determine the physical topology of a sensor network, optimization of the density of the standard, according to GAF algorithm, the initial deployment of the network node is optimized program in improving the network of monitoring stations in terms of accuracy and timeliness of satisfactory results obtained.
引文
[1]罗开富,李涛.中国水文区划草案[M].北京:科学出版社,1956.
[2]中国科学院自然区划工作委员会.中国水文区划(初稿)[M].北京:科学出版社,1959.
[3]熊怡,张家桢.中国水文区划[M].北京:科学出版社,1995.
[4]俞弦,徐立中,王慧斌.基于移动通信公网和无线传感器网络的水情遥测系统层次设计[J].水利水文自动化,2006,(1):6-10.
[5]高春平,李宁宵,孙绍华.太子河流域水情信息自动测报系统[J].东北水利水电,2007,25(275):45-47.
[6]李磊,秦国军,胡茑庆,陈铠.基于传输距离估计的无线传感网节点定位方法[J].系统工程与电子技术,2009,31(1):213-215.
[7]Qishi Wu, Nageswara S.V. Rao, Xiaojiang Du, S. Sitharama Iyengar, Vijay K. Vaishnavi. On efficient deployment of sensors on planar grid [J]. Computer Communications,2007,30:2721-2734.
[8]史斌彬.无线传感器网络节点部署算法研究[D].无锡:江南大学,2008.
[9]汪学清.无线传感器网络中连通与覆盖问题研究[D].哈尔滨:哈尔滨工程大学,2006.
[10]杜培军.煤矿区地质环境与地质灾害遥感集成监测系统的关键技术[J].地理信息世界,2008,(5):14-20;
[11]杨绍辉.基于土壤含水率垂向变化规律的水分传感器布设[J].农业机械学报,2008,39(5):104-107.
[12]吴小刚,张土乔,黄亚东.多目标约束下给水管网水质传感器选址优化算法的研究[J].水利学报,2008,39(4):433-439.
[13]宫鹏.环境监测中无线传感器网络地面遥感新技术[J].遥感学报,2007,11(4):545-551.
[14]代凤娟.支持故障预测的传感器优化布置研究[D].西北工业大学力学与土木建筑学院,2007.
[15]谢洁锐.大田监测中无线传感器网络的部署[J].现代计算机,2006,(231):36-38.
[16]舒大兴.水文信息系统现代化研究——水文信息采集、传输、处理及应用[D].河海大学,2005.
[17]马福昌.数字水文信息采集与自动化报送理论及新技术研究[D].西安理工大学,2004.
[18]SL34-92,水文站网规划技术导则[S].
[19]尹民,杨志峰,崔保山.中国河流生态水文分区初探[J].环境科学学报,2005,25(4):423-428.
[20]李硕,许萌芽.主成分聚类分析法在宁夏水文分区中的应用[J];水文,2002,22(2):44-50.
[21]刘晓凤,李艳华,肖英华;黑龙江省水文分区[J].黑龙江水专学报,2002,29(1):29-31.
[22]赵宝君.内蒙古水文分区及分区原则[J].内蒙古农业大学学报(自然科学版),2008,29(1):125-129.
[23]全石琳,司锡明.河南省农业综合自然区划[J].河南师范大学,1980,(2):67-95.
[24]胡凤彬,沈言贤,金柳文,等.流域水文模型参数的水文分区法[J].水文,1989:34-40.
[25]张静怡,陆桂华,徐小明.自组织特征映射神经网络方法在水文分区中的应用[J].水利学 报,2005,36(2):163-168.
[26]丁亚明,赵艳平,张志红,胡学钢.基于主成分分析和模糊聚类的水文分区[J].合肥工业大学学报(自然科学版),2009,32(6):796-801
[27](日)水本雅晴,著;刘凤璞,王铭文,等译.模糊数学及其应用[M].北京:科学出版社,1986.
[28]覃鸿妮,蔡一林,鲜红,等.应用聚类分析法划分重庆玉米种植区研究[J].西南师范大学学报,2009,34(3):142-145.
[29]魏明亮,宋汉周,吴志伟.模糊聚类分析法在坝址地下水质监测网优化中的应用[J].勘察科学技术,2009,(3):48-51.
[30]黄艺,蔡佳亮,郑维爽,等.流域水生态功能分区以及区划方法的研究进展[J].生态学杂志,2009,28(3):542-548.
[31]丁亚明.模糊聚类研究及其在水文分区中的应用[D].合肥工业大学,2007.
[32]郑达贤,陈加兵.以流域为基本单元的中国自然区划新方案[J].亚热带资源与环境学报,2007.
[33]尹雄锐,张翔,夏军.基于聚类分析的人工神经网络洪水预报模型研究[J].四川大学学报(工程科学版),2007.
[34]雷鸣.模糊聚类新算法的研究[D].中国博士学位论文全文数据库,2007.
[35]张静怡,何惠,陆桂华.水文区划问题研究[J].水利水电技术,2006,37(1):48-53.
[36]郑度,葛全胜,张雪芹,等.中国区划工作的回顾与展望[J].地理研究,2005,24(3):330-345.
[37]陈守煜,李亚伟.基于模糊迭代聚类的水资源分区研究[J].辽宁工程技术大学学报,2004,23(6):848-851.
[38]李亚伟,陈守煜,聂相田.基于PCA河聚类分析的相似流域选择方法[J].东北水利水电,2004.
[39]王志良,邱林,梁川,付强.基于模糊聚类分析的水资源分区研究[J].华北水利水电学院学报,2001,22(2):7-10.
[40]刘恩宝,张家桢,熊怡.划分水文分区的模糊数学方法[J].科学出版社,1985.
[41]周华山.对加强省级地貌区划生产性的几点看法[J].河南师大学报,1984,(1):30-37.
[42]Cuzzocrea, A. High-Performance Data Management and Efficient Aggregate Query Answering on Environmental Sensor Networks by Computational Grids.2008
[43]Sakhaee, E. GPS-Free Disaster-Scale Mapping and Energy-Efficient Alerting Scheme in a Wireless Sensor Network.2008
[44]Bharadwaj, R.; Mukhopadhyay, S.; Peralta, M.; Shenai, K.; Majumder, S.; Cognitive Distributed Networks in Environmental e-Science.2008.
[45]So, S.G.; Chang, D.; Development of laser based spectroscopic trace-gas sensors for environmental sensor networks and medical exposure monitors.2008.
[46]Nickerson, B.G.; Ke Deng;An Adaptive Programming Model for Environmental Sensor Networks Using Fuzzy Logic.2008.
[47]Yen-Ting Lin; Saluja, K.K.; Megerian, S.; Cost Efficient Wireless Camera Sensor Deployment Strategy for Environment Monitoring Applications.2008.
[48]Kininmonth, S.; Considerations in Establishing Environmental Sensor Networks.2007.
[49]Sanderson,A.C.;Distributed Enviromental Sensor Network:Design and Experiments.2006.
[50]Yinan Li, An Agent-based Grid Monitoring System Featuring Dynamic and On-demand Sensor Deployment and Management.2006.
[51]Jie Wu and Shuhui Yang. SMART:A Scan-Based Movement-Assisted Sensor Deployment Method in Wireless Sensor Networks.2005.
[52]Sung,Y.;Tong, L.; Swami, A.;Asymptotic locally optimal detector for large-scale sensor networks under the Poisson regime.2005.
[53]Dantu, R.;Abbas, K.;O'Neill, M., II; Mikler, A.;Data centric modeling of environmental sensor networks.2004.
[54]Martinez, K.;Hart,J.K.; Ong, R.; Environmental sensor networks.Computer,2004.
[55]AboElFotoh, H.M.F.; Iyengar, S.S.; Chakrabarty, K.;Computing reliability and message delay for Cooperative wireless distributed sensor networks subject to random failures.2004.
[56]Harley T. Davis, C. Marjorie Aelion, Suzanne McDermott, Andrew B. Lawson. Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation [J].Environmental Pollution,2009.
[57]Dong Xu, Nancy Redman-Furey. Statistical cluster analysis of pharmaceutical solvents [J]; International Journal of Pharmaceutics,2007.
[58]Gaetano Ragno, Michele De Luca, Giuseppina Ioele. An application of cluster analysis and multivariate classification methods to spring water monitoring data [J]. Micro-chemical Journal,2007.
[59]Yoshitake Kato, Makoto Yokohari, Robert D. Brown.Integration and visualization of the ecological value of rural landscapes in maintaining the physical environment of Japan [D]. Landscape and Urban Planning,1997.
[60]Robert M. Peters, Stanley A. Shanes, John C. Peters. Fuzzy Cluster Analysis of Positive Stress Tests, a New Method of Combining Exercise Test Variables to Predict Extent of Coronary Artery Disease [J]. THE AMERICAN 1OURNA1 OF CARDIOLOGY,1995.
[61]赵学鹏,邹传云.无线传感器网络GAF算法的性能分析与仿真[J].计算机仿真,2008,25(11):154-156
[62]孙利民,李建中,陈渝,朱红松.无线传感器网络[M].清华大学出版社,2005.