Check patentability & draft patents in minutes with Patsnap Eureka AI!

Multi-parameter model dynamic early warning method based on landslide three-dimensional monitoring

A multi-parameter and model technology, applied in the direction of alarms, instruments, etc., can solve problems such as not taking into account, and achieve the effect of improving accuracy, improving precision, and reasonable logical relationship

Pending Publication Date: 2022-04-12
INST OF EXPLORATION TECH OF CHINESE ACAD OF GEOLOGICAL SCI
View PDF2 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This patent does not take into account that the selection or placement of equipment will affect the threshold or model of early warning criteria, and does not take into account the use of abnormal strategies to eliminate factors that affect the accuracy of early warning results

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-parameter model dynamic early warning method based on landslide three-dimensional monitoring
  • Multi-parameter model dynamic early warning method based on landslide three-dimensional monitoring
  • Multi-parameter model dynamic early warning method based on landslide three-dimensional monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] Such as figure 1 As shown, this embodiment is a multi-parameter model dynamic early warning method based on three-dimensional landslide monitoring, which uses the historical data of landslide disaster points to know the monitoring of landslide hidden danger points, and at the same time realizes effective early warning of landslide disasters. The landslide disaster point in this embodiment is the place where the landslide disaster has formed, causing casualties or economic losses; the landslide hidden danger point is the slope that may cause loss of life and property.

[0046] The early warning method in the present embodiment comprises the following steps:

[0047] S1. On-site survey and monitoring of landslide hazard points and landslide hidden danger points in the monitoring area, collect basic information of landslide hazard points, and use scoring method to conduct a preliminary evaluation of the stability status of landslide hidden danger points

[0048] Carry out...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-parameter model dynamic early warning method based on landslide three-dimensional monitoring, and the method comprises the steps: carrying out the preliminary evaluation of the current stability of a main monitoring object according to the deformation characteristics of a landslide monitoring region, and obtaining a preliminary evaluation result; setting an early warning criterion threshold according to the preliminary evaluation result, the landslide disaster development history and the development mechanism; constructing a multi-parameter early warning model according to the type selection of the monitoring equipment of the main monitoring object in combination with the main induction factors of the landslide disaster; the early warning criterion threshold and the multi-parameter early warning model are dynamically adjusted, and an abnormal strategy is set to reduce the false alarm rate; and when the monitoring value reaches the dynamically adjusted early warning criterion threshold range, triggering the multi-parameter early warning model, and sending landslide early warning information. Through dynamic adjustment of early warning criteria and models, along with increase of monitoring information and clarification of development trends, the precision of the monitoring and early warning models can be improved; the research of a geological disaster monitoring and early warning system is facilitated, and the accuracy of geological disaster monitoring and early warning is improved.

Description

technical field [0001] The invention belongs to the technical field of geological disaster monitoring and early warning, and in particular relates to a multi-parameter model dynamic early warning method based on three-dimensional landslide monitoring. Background technique [0002] Geological disasters such as landslides, landslides, and debris flows widely exist in mountainous and hilly areas in my country, posing huge hidden dangers to economic and social development and the safety of people's lives and properties. Accurate landslide disaster monitoring and early warning is an important way to improve disaster prevention and mitigation capabilities. As a complex system engineering, it not only involves landslide disaster site investigation, development mechanism analysis, and stability evaluation, but also includes monitoring equipment selection, early warning criterion threshold setting, early warning model design, etc. [0003] The common regional landslide disaster moni...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G08B21/10
Inventor 赵阳倪化勇佘涛孙金辉杨松涛宋昭富张勇程英建易靖松
Owner INST OF EXPLORATION TECH OF CHINESE ACAD OF GEOLOGICAL SCI
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More