Method for predicting and forecasting temporary sliding of landslide disaster
A technology for disasters and monitoring areas, applied in the directions of alarms, complex mathematical operations, instruments, etc., can solve problems such as practical application difficulties and increase in the amount of monitoring data, and achieve the effect of reducing quantity requirements and ensuring accuracy
Pending Publication Date: 2022-05-13
北京寒武智能科技有限公司
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Problems solved by technology
Since the occurrence of landslides is the result of comprehensive changes in the local address environment, in order to accurately predict landslide disasters, most of the existing prediction methods need to collect a large amount of monitoring data for analysis. This method is suitable for small-area landslide prediction, but For large-scale landslide prediction, it will be difficult to apply in practice due to the rapid increase in the amount of monitoring data
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[0020] refer to figure 1 , a specific embodiment of the present invention comprises the following steps:
[0021] A. Collect the monitoring data of the monitoring area; the monitoring data includes the displacement of the monitoring point, the direction of displacement and the monitoring time when the above displacement is detected;
[0022] B. According to the monitoring data, the monitoring area is divided into blocks; according to the displacement and displacement direction of the monitoring point, the monitoring area is divided into blocks. The displacement deviation of all monitoring points in each monitoring area block is less than the block threshold and each monitoring area The displacement directions of all monitoring points in the block are the same;
[0023] C. Calculate the displacement function of each monitoring area block; the displacement function is,
[0024]
[0025] Among them, F(t) is the displacement of the monitoring area block relative to time t, f(...
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The invention discloses a landslide disaster temporary slide prediction and forecast method. The method comprises the following steps: A, collecting monitoring data of a monitoring area; b, partitioning the monitoring area according to the monitoring data; c, calculating a displacement function of each monitoring area block; and D, associating the displacement functions of the adjacent monitoring area blocks, calculating the time when the displacement amount of each monitoring area block exceeds a set threshold value, and using the calculated shortest time as the occurrence time of the landslide disaster. The defects in the prior art can be overcome, and the requirement of landslide prediction for the monitoring data volume is lowered.
Description
technical field [0001] The invention relates to the technical field of landslide disaster early warning, in particular to a method for predicting and forecasting landslide disasters. Background technique [0002] my country is a country prone to landslide disasters. Monitoring and predicting landslide disasters in areas prone to landslides are of great significance for protecting people's lives and property. Since the occurrence of landslides is the result of comprehensive changes in the local address environment, in order to accurately predict landslide disasters, most of the existing prediction methods need to collect a large amount of monitoring data for analysis. This method is suitable for small-area landslide prediction, but For large-scale landslide prediction, it will be more difficult in practical application due to the rapid increase in the amount of monitoring data. Contents of the invention [0003] The technical problem to be solved by the present invention ...
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IPC IPC(8): G08B21/10G06F17/11
CPCG08B21/10G06F17/11Y02A50/00
Inventor 王亮
Owner 北京寒武智能科技有限公司