基于感知信息的水质等级判断及三维快速可视化方法研究

发布时间：2018-07-01 11:49

本文选题：水质等级判断 + 三维可视化　；参考：《南京邮电大学》2017年硕士论文

【摘要】：水资源是地球上最珍贵的资源,是人类赖以生存的资源。随着人类社会的发展,水资源不断受到污染,危害人类健康。水污染防治是保护水资源中一项重要工作,为了有效的进行水污染防治,由无线传感网组成的自动监测系统已经被广泛应用于水环境监测。本文通过无线传感网获得水环境感知信息,根据这些感知信息进行水质等级判断,并利用三维快速可视化技术根据判断结果绘制水环境三维图形,在水污染防治中起到了很好的效果。目前,利用无线传感网感知信息进行水质等级判断是研究的热点。由于自然环境和传感器自身因素会造成测量数据的随机不确定性和必然不确定性,常用的水质等级判断方法不能够准确的判断水质等级,针对该问题本文提出了一种基于区间证据理论的多传感器数据融合水质等级判断方法。考虑传感器精度误差以及测量数据异常等问题,将每个传感器测量的水质数据用区间数表示,通过计算水质数据与每个水质等级特征值之间的距离,得到判断水质等级的区间证据。按照区间证据组合规则将多传感器的区间证据融合成综合区间证据,并根据决策准则,由综合区间证据判断水质等级。利用三维快速可视化技术根据水质等级判断结果绘制相应的水质图形可以直观的展现水环境,方便研究人员进一步做出决策。如何根据判断的水质等级快速渲染当前水环境是需要解决的问题。针对该问题本文提出了面向水环境的三维快速可视化方法,根据水质等级判断结果从案例库中选择相应的水质图形,通过构建BSP结构场景树,利用视域剔除技术达到提升渲染效率的目的,并设计了面向水环境的三维快速可视化系统。
[Abstract]:Water resources are the most precious resources on the earth and the resources on which human beings depend for survival. With the development of human society, water resources are constantly polluted, endangering human health. Water pollution prevention and control is an important work in protecting water resources. In order to effectively prevent and control water pollution, the automatic monitoring system composed of wireless sensor network has been widely used in water environment monitoring. In this paper, the water environment perception information is obtained by wireless sensor network, according to which the water quality grade is judged, and the 3D visualization technology is used to draw the water environment 3D figure according to the judgment result. In water pollution prevention and control played a good effect. At present, the use of wireless sensor network perception information to judge the water quality is a hot spot. Because of the random uncertainty and inevitable uncertainty of the measurement data caused by the natural environment and the sensor itself, the commonly used water quality grade judgment methods can not accurately judge the water quality grade. To solve this problem, a multi-sensor data fusion method based on interval evidence theory is proposed. Considering the sensor precision error and measurement data anomaly, the water quality data measured by each sensor is expressed by interval number, and the distance between the water quality data and the characteristic value of each water quality grade is calculated by calculating the distance between the water quality data and the characteristic value of each water quality grade. Get the interval evidence to judge the water quality grade. According to the rule of interval evidence combination, the multi-sensor interval evidence is fused into comprehensive interval evidence, and according to the decision criterion, the comprehensive interval evidence is used to judge the water quality grade. Using 3D fast visualization technology to draw the corresponding water quality graphics according to the result of water quality grade judgment can show the water environment intuitively and facilitate the researchers to make further decision. How to quickly render the current water environment according to the grade of water quality is a problem to be solved. In order to solve this problem, a 3D fast visualization method for water environment is proposed. According to the result of water quality grade judgment, the corresponding water quality graph is selected from the case base, and the scene tree of BSP structure is constructed. In order to improve the rendering efficiency, a 3D fast visualization system for water environment is designed.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：X84;TP212.9;TN929.5

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