Surface mine landslide disaster early warning method and system

An early warning system and mine technology, applied in the direction of alarms, instruments, etc., can solve the problems of inaccuracy, lack of primary and secondary, separation of theory and practice, etc., to achieve the effect of accurate early warning

Active Publication Date: 2021-05-07
中铁十九局集团矿业投资有限公司
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Problems solved by technology

Slope monitoring data is an important data source for slope instability analysis and forecasting. Its accuracy determines the key factors for accurate analysis and prediction of slope instability. However, the current research status has the following problems : ① The modeling method reflects the separation of theory and practice
[0003] ② It is not accurate enough to determine the monitoring data only based on a single indicator
[0004] ③Multiple indicators determine the monitoring data, there is no distinction between primary and secondary

Method used

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  • Surface mine landslide disaster early warning method and system
  • Surface mine landslide disaster early warning method and system
  • Surface mine landslide disaster early warning method and system

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Embodiment Construction

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0044] The embodiment of the invention discloses a method for early warning of landslide disasters in open-pit mines, such as figure 1 As shown, the specific steps are as follows:

[0045] S101 Obtain open-pit mine monitoring data; determine the impact factor according to the mine monitoring data;

[0046] S102 constructing a finite element model according to the influence factor combined with the historical influence factor;

[0047] S103 using the finite e...

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Abstract

The invention discloses a surface mine landslide disaster early warning method and system, which is applied to the technical field of disaster early warning and comprises the following steps: acquiring surface mine monitoring data; determining an influence factor according to the mine monitoring data; constructing a finite element model according to the influence factors and historical influence factors; acquiring a time sequence of the influence factors corresponding to the actual monitoring points by utilizing a finite element model; constructing a monitoring data change model according to the time sequence; determining the monitoring data change rate of the actual monitoring point according to the monitoring data change model; constructing a landslide prediction model; and carrying out weight distribution on the monitoring data, and judging whether an early warning signal is sent or not. The surface mine landslide prediction is accurate, the influence factor is determined according to the importance of the detection data, and the weight is determined to ensure that the influence factor can accurately perform early warning on the surface mine landslide disaster.

Description

technical field [0001] The invention relates to the technical field of disaster early warning, in particular to an early warning method and system for landslide disasters in open-pit mines. Background technique [0002] After a long period of mining in open-pit mines, the mining depth has been continuously deepened, and the length of the slope has been continuously lengthened. Many mines are already in the process of deep concave mining. Therefore, landslide accidents occur frequently in open-pit mines, which pose a great threat to the safe production of open-pit mines. In order to solve the problem of slope safety in open-pit mines, scholars at home and abroad have been working on the analysis and prediction of slope instability for many years. Slope monitoring data is an important data source for slope instability analysis and forecasting. Its accuracy determines the key factors for accurate analysis and prediction of slope instability. However, the current research statu...

Claims

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Application Information

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IPC IPC(8): G08B21/10
CPCG08B21/10
Inventor 陈立军
Owner 中铁十九局集团矿业投资有限公司
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