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Visualization processing method and system for abnormal geological disaster data

A technology for abnormal data and geological disasters, applied in digital data processing, special data processing applications, relational databases, etc., can solve problems such as complex geological environment and affecting data, and achieve the effect of flexible and convenient operation

Active Publication Date: 2022-03-25
HUNAN ZHONGDA CONSTR ENG TESTING TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the process of collecting and storing existing geological disaster monitoring data, abnormal data or noise will inevitably appear, and in actual operation, the geological environment is complex, and there are many factors that will affect the final data

Method used

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  • Visualization processing method and system for abnormal geological disaster data
  • Visualization processing method and system for abnormal geological disaster data
  • Visualization processing method and system for abnormal geological disaster data

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Experimental program
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Embodiment 1

[0040] This embodiment discloses a method for visually processing abnormal geological disaster data, which specifically includes the following steps.

[0041] Step S1. Obtain the chronologically arranged geological disaster monitoring data sequence of any sensor and the detection mode currently configured by the user.

[0042] In this step, the sensor can be used to collect any one of geological disaster monitoring data including horizontal displacement, depth displacement, settlement, inclination, crack or stress and strain.

[0043]Preferably, before this step, the following preprocessing can be performed on the monitoring data, so as to filter data that is not within the collection time range and not within the normal measurement range from two aspects of time and value:

[0044] 1. Perform null value anomaly detection on the data. For example: take three times the time step as the threshold, and if it exceeds this threshold, it will be regarded as an abnormal null value. ...

Embodiment 2

[0077]Corresponding to the above-mentioned embodiments, this embodiment discloses a system for visualizing geological disaster anomaly data, including a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor executes The computer program implements the corresponding steps of the above method embodiments.

[0078] To sum up, the method and system for visually processing geological disaster abnormal data disclosed in the embodiments of the present invention have at least the following beneficial effects:

[0079] On the one hand, it is convenient for users to configure different detection modes according to different needs, and the operation is flexible and convenient. On the other hand, since the four types of faults can be complementary and the two detection methods can also be complementary, the multi-level complementary relationship can ensure the recall and precision of abnormal data screening; Disaster predict...

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Abstract

The invention relates to the field of early warning of geological disasters, and discloses a method and system for visually processing abnormal data of geological disasters, which takes into account the recall rate and precision rate of abnormal data screening, and lays the foundation for the reliability and accuracy of disaster prediction. The method includes: obtaining the geological disaster monitoring data sequence and detection mode; when the detection mode currently configured by the user is mode 1, screening out the abnormal data in the geological disaster monitoring data sequence based on the first-order difference anomaly detection method; When the detection method is mode 2, the abnormal data in the geological disaster monitoring data sequence will be screened out based on the Gaussian mixture clustering anomaly detection method; when the detection method currently configured by the user is mode 3, the screening will be based on the first-order difference anomaly detection method The results are combined with the results obtained based on the Gaussian mixture clustering anomaly detection method; then in the visual diagram, each abnormal data is marked according to the screening results obtained by the corresponding detection mode.

Description

technical field [0001] The invention relates to the technical field of early warning of geological disasters, in particular to a method and system for visually processing abnormal data of geological disasters. Background technique [0002] my country has a vast territory, complex terrain, and frequent geological disasters. The main causes of geological disasters include natural changes and man-made destruction, and the main forms of disasters include landslides, collapses, mudslides, etc., which have brought huge losses to my country's social economy and people's property safety. [0003] Most of the current geological disaster detection work has used a variety of acquisition instruments, and based on the collected geological disaster monitoring data, the early warning of geological disasters is carried out by means of manual prediction and threshold judgment. However, in the process of collecting and storing existing geological disaster monitoring data, abnormal data or no...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/26G06F16/28G06F16/2458
CPCG06F16/26G06F16/285G06F16/2477G06F16/2474
Inventor 孙圣吴昊陈湘涛刘停芝李时文白玉婷
Owner HUNAN ZHONGDA CONSTR ENG TESTING TECH
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