基于电学CT技术的多信息融合泥石流监测系统设计及室内模拟

发布时间：2019-05-06 09:40

【摘要】：泥石流在我国广泛存在,每年造成的直接经济损失达20亿元,但目前国内外对其研究较少,且尚无完善的监测系统。为实现泥石流的定量在线实时监测,采集一片区域所有点的参数(场测量),提出了一种采用电学CT技术的新型泥石流传感网络。采用不同成像算法进行了仿真对比,总结出了适合泥石流监测的Landweber算法。采用ECT技术模拟了泥石流的发生过程,分别探究了不同降雨、地形、地质条件对ECT成像结果的影响,并对比了不同条件下的雨水扩散速度和小部分土体分离时间。结果表明,降雨是导致泥石流发生的直接因素,坡度越大,泥石流越易发生;沙石比例为6∶4左右时最易发生泥石流。该系统突破了传统的点测量模式,实现了非接触非侵入的场测量方式,并融合了多种信息,弥补了现有监测系统难以定量确定多因素权值的缺陷,为泥石流的监测技术提供了新的方向。
[Abstract]:Debris flow is widespread in our country, causing 2 billion yuan of direct economic loss every year, but there is little research on debris flow at home and abroad, and there is no perfect monitoring system. In order to realize the quantitative on-line real-time monitoring of debris flow and collect the parameters (field measurement) of all points in a region, a new type of debris flow sensing network based on electrical CT technology is proposed. Different imaging algorithms are used to simulate and compare, and the Landweber algorithm suitable for debris flow monitoring is summarized. The process of debris flow was simulated by using ECT technology. The effects of different rainfall, topography and geological conditions on the ECT imaging results were investigated, and the diffusion velocity of Rain Water and the separation time of a small part of soil under different conditions were compared. The results show that rainfall is the direct factor leading to the occurrence of debris flow, the larger the slope, the more prone to debris flow, and when the sand-stone ratio is about 6:4, debris flow is most likely to occur. The system breaks through the traditional point measurement mode, realizes the non-contact and non-intrusive field measurement mode, and integrates many kinds of information, which makes up for the defect that the existing monitoring system is difficult to quantitatively determine the multi-factor weights. It provides a new direction for debris flow monitoring technology.
【作者单位】：华北电力大学控制与计算机工程学院;华北电力大学能源动力与机械工程学院;
【基金】：国家自然科学基金项目(61571189,61503137,61305056)~~
【分类号】：P642.23

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