Geological hazard prediction method based on neural network and multi-parameter information fusion

A geological disaster and neural network technology, applied to alarms, instruments, etc., can solve problems such as waste of resources, lack of monitoring equipment, huge casualties and economic losses, and achieve the effect of improving accuracy

Active Publication Date: 2018-10-02
西安天汇远通水利信息技术有限责任公司
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Problems solved by technology

[0003] The conclusions obtained after various analysis of the place where the geological disaster accident occurred are as follows: 1) The cause of the accident is mainly affected by geological evolution and meteorology, and some accidents are caused by human factors; 2) Huge casualties are caused The result of economic loss and economic loss is mainly because there is no reliable monitoring equipment; 3) Some areas are equipped with monitoring equipment, because there is no suitable forecasting method, the collected data cannot play its maximum role, resulting in a waste of resources

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  • Geological hazard prediction method based on neural network and multi-parameter information fusion
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  • Geological hazard prediction method based on neural network and multi-parameter information fusion

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[0034] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0035] The flow of the present invention's geological hazard prediction method based on neural network and multi-parameter information fusion is as follows: figure 1 As shown, the specific steps are as follows:

[0036] Step 1, establishing a geological hazard prediction model based on neural network and multi-parameter information fusion;

[0037] Step 1.1: Training data sorting and threshold setting;

[0038] Calculate the relationship between the debris flow factor, landslide factor and the degree of hazard in areas where geological disasters have occurred, and use each parameter factor as training data, then select the corresponding parameter to measure the maximum range of the sensor, and install the training data between 0 and the maximum range Points are divided into grades to determine the initial relationship distribution between e...

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Abstract

The invention discloses a geological disaster forecasting method based on a neural network and multi-parameter information fusion. The geological disaster forecasting method comprises the steps of: firstly, establishing a geological disaster forecasting model based on the neural network and multi-parameter information fusion; secondly, establishing a relation between a geological disaster occurrence probability and a geological disaster level; and finally, acquiring data by utilizing a multi-parameter geological disaster monitoring system to realize forecasting of geological disasters. The geological disaster forecasting method adopts the RBF neural network to establish the forecasting model, can calculate the geological disaster occurrence probability corresponding to the current condition, and can reckon the geological disaster level according to the occurrence probability, thus can take measures corresponding to the level to prevent and reduce the occurrence of disasters; and the geological disaster forecasting method fully considers multiple factors affecting geological disasters of collapse, landslide and debris flow, provides a more accurate basis for making forecast decision, and avoids the defects that the traditional geological monitoring system can only acquire data and cannot analyze the data.

Description

technical field [0001] The invention belongs to the technical field of geological disaster forecasting, and relates to a geological disaster forecasting method based on neural network and multi-parameter information fusion. Background technique [0002] In recent years, large-scale geological disasters have occurred frequently in my country, such as debris flows, landslides, etc. The occurrence of these geological disasters is random and sudden, and the scale is huge, which often leads to serious casualties and economic losses. my country is a mountainous country, and there are hidden dangers of geological disasters in many places. If the predicted problems cannot be solved, geological disasters will affect more people. [0003] The conclusions obtained after various analysis of the place where the geological disaster accident occurred are as follows: 1) The cause of the accident is mainly affected by geological evolution and meteorology, and some accidents are caused by hum...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B21/10
CPCG08B21/10
Inventor 李丽敏温宗周魏小胜
Owner 西安天汇远通水利信息技术有限责任公司
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