A real-time monitoring device for river bank collapse based on pressure sensing technology

Abstract

The invention discloses a real-time river bank collapse monitoring device based on a pressure sensing technology. The monitoring device comprises a pressure sensing module, a central processing module, a data transmission module and a power supply module; The pressure sensing module comprises horizontal and / or inclined line type pressure induction modules for measuring the collapse depth, the central processing module can convert a pressure value transmitted by the pressure sensing module into collapse width data of water front via a preset algorithm and store the data, and the data transmission module transmits riverbank collapse distance information to a remote terminal. Density difference among the soil, water and air as well as the pressure sensing technology is used to establish relation between the water front collapse width and data of pressure measurement points, vertical to the river, buried in the riverbank, the data of the pressure measurement points is converted into the water front collapse width data which is stored in real time and sent to the remote terminal, and collapse bank is monitored in an intelligent and informational way.

Description

technical field [0001] The invention relates to a monitoring device, in particular to a real-time monitoring device for river bank collapse. Background technique [0002] Bank collapse is an important part of the river bed evolution process of alluvial rivers, and bank collapse is common in the middle and lower reaches of the Yangtze River. According to incomplete statistics, over the past 60 years, the cumulative length of bank collapses in the middle and lower reaches of the Yangtze River has exceeded 1600km. After the Three Gorges Project was put into use, a total of 698 dangerous bank collapses occurred in the main stream of the middle and lower reaches of the Yangtze River from 2003 to 2013, and the cumulative bank collapse length was about 521km. The Jingjiang section is the most serious, with a total bank collapse length of 42.3 km and an average annual collapse rate of about 15.0 m / a. Among them, Jing 98 section has a relatively high bank collapse intensity, with an...

AI Technical Summary

Problems solved by technology

Existing monitoring and early warning methods of landslides, such as the stable slope ratio method and the deep water prediction method, can only make a rough estimate of whether the dangerous situation of landslides will occur, and cannot make reasonable predictions on the scale and hazards of landslides, nor can they Real-time monitoring of shoreline collapse process

At present, most of the monitoring methods for bank collapse are manual patrol and survey. The main disadvantages of this monitoring method are that the monitoring time interval is long and the data information collection is not timely.

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