Transmission tower material actual strength computing method based on data mining

A data mining, transmission tower technology, applied in computing, data processing applications, computer parts and other directions, can solve problems such as computational complexity, distortion, multi-peak, etc.

Inactive Publication Date: 2015-01-21
STATE GRID CORP OF CHINA +2
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  • Abstract
  • Description
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Problems solved by technology

[0004] Since there are many factors that affect the strength of the tower material, the traditional evaluation method needs to calculate all the evaluati

Method used

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  • Transmission tower material actual strength computing method based on data mining
  • Transmission tower material actual strength computing method based on data mining
  • Transmission tower material actual strength computing method based on data mining

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Embodiment Construction

[0055] The design idea of ​​a method for calculating the actual strength of transmission tower materials based on data mining in the present invention is as follows: figure 1 As shown, the method mainly includes the following steps:

[0056] Step 1: Index set reduction;

[0057] Step 2: Construction of data mining learning set;

[0058] Step 3: Determine the weight of the factor set;

[0059] Step 4: Actual strength assessment.

[0060] The implementation process of each step is as follows:

[0061] Transmission line pole tower materials have been operated in the field for a long time, and they have been subjected to natural invasion, discharge and man-made external force damage, and the actual mechanical strength of the wire will decrease relative to the theoretical value. Considering the nonlinear relationship between strength influencing factors and evaluation knowledge, the actual strength of tower materials is evaluated and calculated based on data mining methods.

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Abstract

The invention discloses a transmission tower material actual strength computing method based on data mining. A rough set theory is used for reducing a pole and tower strength influence factor set; a data mining method is used for mining useful data from a large number of historical data to establish a learning set; and according to the learning set, a gradient descent method is used for constant iterative learning to determine factor set weight, and through the obtained weight value, the degeneration rate of the actual strength of tower materials is subjected to comprehensive evaluation and computing. The problems of typical uncertainty and nonlinearity that during an evolutionary process, the validity affecting tower material strength factors is not clear can be solved through the method. The method can provide an important scientific criterion for transmission tower structure safety evaluation.

Description

technical field [0001] The invention relates to the field of structural safety evaluation of electric transmission towers, and is particularly suitable for the structural safety evaluation of long-term operation of electric transmission towers in complex natural environments. Background technique [0002] The essence of line structure safety is an uncertain and nonlinear state space evolution process. The state evolution (transition) process is random, and the characteristic information representing the actual mechanical strength of tower materials is inaccurate. The role of influencing factors The validity is not clear, the definition and extension of the operating state are ambiguous, and the expert knowledge for state evaluation is incomplete, so the evaluation and calculation of the strength of the line tower material is a complex uncertainty problem. [0003] Data mining is a non-trivial process that reveals implicit, previously unknown and potentially valuable informat...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/24564G06F16/2465G06Q50/06G06F18/24143
Inventor 王晓东张乐葛乐龚灯才朱富云徐剑峰朱卫鞠易朱张蓓孙玉玮
Owner STATE GRID CORP OF CHINA
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