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Installation and debugging method of Beidou generation-II navigation system electric iron tower deformation monitoring device based on machine learning

A machine learning and navigation system technology, applied in navigation, surveying devices, surveying and navigation, etc., can solve the problems of low installation accuracy, low efficiency, poor adaptability, etc., to reduce difficulty, improve work efficiency and quality, and realize automatic Improvements and cumulative effects

Active Publication Date: 2015-09-23
STATE GRID CORP OF CHINA +1
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the above-mentioned deficiencies of the prior art. The present invention uses the Beidou II navigation system and combines the machine learning algorithm of the equipment itself to solve the problem of poor installation accuracy of the traditional power tower deformation monitoring equipment in the manual installation and debugging process. High, low efficiency and poor adaptability

Method used

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  • Installation and debugging method of Beidou generation-II navigation system electric iron tower deformation monitoring device based on machine learning
  • Installation and debugging method of Beidou generation-II navigation system electric iron tower deformation monitoring device based on machine learning
  • Installation and debugging method of Beidou generation-II navigation system electric iron tower deformation monitoring device based on machine learning

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Embodiment Construction

[0025] Below in conjunction with the examples, the specific implementation of the present invention will be further described in detail. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0026] The implementation process of the installation and commissioning method of the Beidou II power tower deformation monitoring equipment based on machine learning is as follows: figure 1 shown. The specific implementation process is as follows:

[0027] 1. Univariate linear regression and least squares data verification

[0028] Acceleration and inclination are calculated according to the data collected by the deformation of the iron tower. Correlation coefficient of wind speed

[0029]

[0030] Referring to Table 1, when calculating the is greater than the corresponding value in the table, it can be considered that the correlation meets the conditions for configuring the regression line, and ...

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Abstract

The invention belongs to the technical field of the maintenance and monitoring of an electric power device, and relates to an installation and debugging method of Beidou generation-II navigation system electric iron tower deformation monitoring device based on machine learning. The method comprises the steps: firstly performing one-dimensional linear regression analysis and least square method verification for iron tower acquisition data, carrying out signal-noise separation for debugging data by adopting a wavelet transformation method, establishing an auto-regressive and moving average (ARMA) model for the debugging data by adopting a time sequence analysis method, and finally evaluating, by experience, the prediction precision by adopting an evaluation assuming method, and analyzing and determining an optimum quantity, an optimum position and an optimum angle of a sensor.

Description

technical field [0001] The invention belongs to the technical field of electric equipment maintenance and monitoring, and relates to a method for installing and debugging electric tower deformation monitoring equipment of the Beidou II navigation system based on machine learning. The invention utilizes machine learning to continuously improve the work efficiency and quality of equipment installation and debugging, and reduce the difficulty of equipment installation and debugging. Background technique [0002] Traditional power tower deformation monitoring generally adopts ground conventional measurement technology, ground photogrammetry technology, and GPS space positioning technology application, using total station, camera / video camera, GPS navigation and positioning equipment, and manually installing and debugging equipment. The deformation monitoring equipment is installed and debugged manually. The measuring range is limited by the use characteristics of the equipment. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/00G01B21/32
CPCG01C21/005G01C21/20G01S19/45
Inventor 孙琳珂上官朝晖王海峰刘佳曾昭智
Owner STATE GRID CORP OF CHINA
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