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Geological disaster early warning method

A technology for geological disasters and disasters, which is applied to alarms, instruments, electrical components, etc., can solve the problems of waste of public resources, achieve timely release, increase escape time, and avoid waste of public resources

Pending Publication Date: 2020-08-11
INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the above-mentioned problems in the prior art, and provide a geological disaster early warning method that can proactively and timely push early warning information for users, and can plan reasonable evacuation information for users in geological disaster dangerous areas. The invention has the advantages of timely release of early warning information, fast response time, simple operation, etc., and also avoids the waste of a large amount of public resources caused by mass early warning information

Method used

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  • Geological disaster early warning method

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Embodiment 1

[0024] This embodiment discloses a geological disaster early warning method, which includes the following steps:

[0025] Step 1: Based on the geological real-time monitoring and early warning data, historical disaster data and disaster prediction data, the server generates dangerous area early warning information for dangerous areas where geological disasters may occur or are about to occur through the disaster prediction model. After the dangerous area early warning information is generated, the server Push the early warning information of dangerous areas to the early warning processing platform installed on the mobile terminal. At the same time, the server pays attention to various real-time monitoring instruments in the dangerous area in real time. When the real-time data reaches or exceeds the threshold, it will release real-time early warning information in time, and the server will push the real-time early warning information to the early warning processing platform inst...

Embodiment 2

[0031] This embodiment discloses a geological disaster early warning method, which includes the following steps:

[0032] Step 1: Based on the geological real-time monitoring and early warning data, historical disaster data and disaster prediction data, the server generates dangerous area early warning information for dangerous areas where geological disasters may occur or are about to occur through the disaster prediction model. After the dangerous area early warning information is generated, the server Push the early warning information of dangerous areas to the early warning processing platform installed on the mobile terminal. Specifically, the server pushes the dangerous area early warning information to the early warning processing platform every 10-60 minutes until the dangerous area early warning information is released. Of course, the interval time can also be adjusted accordingly according to the actual situation.

[0033] Step 2: After the early warning processing ...

Embodiment 3

[0036] On the basis of Embodiment 1 or Embodiment 2, this embodiment further limits the information comparison in step 3, specifically, the early warning processing platform compares the location information with the dangerous area early warning information in a cycle of 5-30 minutes right. Of course, the cycle time of the comparison can also be adjusted accordingly according to the actual situation. In this way, it is possible to provide timely and accurate geological disaster information for users who enter the dangerous area after the warning information of the dangerous area is released, and it is also possible to update the location information of users in the dangerous area and update the evacuation information for users from time to time, thereby Provide users with more accurate escape information.

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Abstract

The invention discloses a geological disaster early warning method, which comprises the steps that 1, a server generates dangerous area early warning information through a disaster prediction model according to geological real-time monitoring early warning data, historical disaster data and disaster prediction data, and pushes the dangerous area early warning information to an early warning processing platform installed on a mobile terminal; 2, position information of the corresponding mobile terminal is analyzed; 3, the position information is compared with the dangerous area early warning information; and if the mobile terminal is located in a dangerous area, alarm information is pushed to the mobile terminal to prompt the user to check, and meanwhile, the early warning processing platform stops pushing the alarm information to the mobile terminal after the user leaves the dangerous area according to the optimal evacuation information planned for the user to leave the dangerous area,and the early warning is ended. The method has the advantages of being timely in early warning information release, short in response time, simple in operation and the like, and the problem that a lot of public resources are wasted due to group sending of early warning information is avoided.

Description

technical field [0001] The invention relates to the technical field of geological disaster early warning, in particular to a geological disaster early warning method. Background technique [0002] In recent years, the frequency, scope, scale and impact of natural disasters such as mudslides, landslides, mountain torrents, typhoons, floods, and droughts have increased dramatically around the world caused by climate change. However, my country is a country with many mountainous areas and active geological structures. Natural disasters damage a wide range of areas, and a large number of people are forced to live in high-risk areas. Tens of thousands of people are threatened by landslides and mudslides every year, causing heavy economic losses and casualties. In my country alone, 74 million people are threatened by mudslides to varying degrees; The average number of people is 739, and the average annual economic loss is 4.27 billion yuan. [0003] At present, my country's natur...

Claims

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Application Information

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IPC IPC(8): G08B21/10G08B25/01G08B7/06H04L29/08
CPCG08B21/10G08B25/016G08B7/06H04L67/55H04L67/52
Inventor 丁海涛陈宁生黄娜王涛邓明枫胡桂胜
Owner INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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