Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Analysis and optimization method for abnormal data in slope deformation monitoring

A technology of abnormal data and optimization method, applied in electrical digital data processing, design optimization/simulation, special data processing application, etc., can solve the problems of data processing process interference, abnormal data of slope deformation monitoring not being analyzed and optimized, etc. Achieve the effect of improving accuracy and avoiding interference

Pending Publication Date: 2021-10-29
CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies in the prior art, the present invention proposes a method for analyzing and optimizing the abnormal data of slope deformation monitoring to solve the problem in the prior art that the abnormal data of slope deformation monitoring is not analyzed and optimized, and the abnormal data is used to analyze the technical issues that interfere with data processing

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
  • Analysis and optimization method for abnormal data in slope deformation monitoring
  • Analysis and optimization method for abnormal data in slope deformation monitoring
  • Analysis and optimization method for abnormal data in slope deformation monitoring

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] In this embodiment, the LSTM network (long short-term memory network) is used to analyze and optimize the abnormal data of slope deformation monitoring, such as figure 1 As shown, the steps are as follows:

[0044] S1. Convert the measured data of slope monitoring into multiple arrays containing time series, and draw the time series diagram of measured values ​​of the measured data of slope monitoring

[0045] There are many types of objects for slope monitoring, including acceleration, displacement, temperature, rainfall, etc. These measured data of slope monitoring have their own corresponding monitoring time points. In this embodiment, the measured data of slope monitoring is converted into an array containing time series; in a specific embodiment, the received json data is converted in java into an array containing array of time series. There are multiple arrays formed by the conversion. In a specific embodiment, natural days are used as units, and the measured da...

Embodiment 2

[0078] An electronic device is provided, comprising:

[0079] one or more processors;

[0080] storage means for storing one or more programs;

[0081] When one or more programs are executed by one or more processors, the one or more processors implement the method for analyzing and optimizing abnormal data of slope deformation monitoring provided in Embodiment 1.

Embodiment 3

[0083] A computer-readable storage medium storing a computer program is provided, and when the computer program is executed by a processor, the method for analyzing and optimizing abnormal data of slope deformation monitoring provided in Embodiment 1 is realized.

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 provides an analysis and optimization method for abnormal data in slope deformation monitoring, which comprises the following steps of S1, converting side slope monitoring measured data into a plurality of arrays containing a time sequence, and drawing a measured value time sequence diagram; S2, inputting any array into the slope monitoring data prediction model for prediction; S3, drawing a predicted value time sequence diagram; S4, calculating a difference value between the slope monitoring measured data and the predicted data according to the measured value and the predicted value time sequence diagram, and taking the corresponding slope monitoring measured data when the difference value is greater than a threshold value as abnormal data; and S5, deleting the abnormal data in the array, and filling the array with the slope monitoring prediction data corresponding to the time sequence of the abnormal data on the prediction value time sequence diagram. The technical problems that abnormal data of slope deformation monitoring are not analyzed and optimized, and the abnormal data can interfere with a later data processing process can be solved.

Description

technical field [0001] The invention relates to the technical field of slope deformation monitoring, in particular to a method for analyzing and optimizing abnormal data of slope deformation monitoring. Background technique [0002] The processing and optimization of slope monitoring data has been seldom mentioned, but with the gradual large-scale application of the slope intelligent monitoring system, the amount of monitoring data obtained is increasing, and the abnormal data is increasing, and the impact is increasing. bigger and bigger. If complete and reliable high-quality data are not obtained, even if there is a completely accurate slope early warning model, it is impossible to obtain accurate early warning results. Therefore, it is necessary to identify and analyze the abnormal data in the slope monitoring data, so as to analyze Data is optimized. [0003] For the abnormal data of slope monitoring, it has the characteristics of serial correlation. The abnormal stat...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/13G06F30/27G06F119/02
CPCG06F30/13G06F30/27G06F2119/02
Inventor 阎宗岭黄河谭玲徐峰温辉波王立洪罗溢古瑶
Owner CHINA MERCHANTS CHONGQING COMM RES & DESIGN INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products