Contribution degree identification method of influence factors of dam health conditions in full time and space domains

A technology of health status and influencing factors, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as dam collapse, abnormal seepage, and aging

Inactive Publication Date: 2018-07-31
HOHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] Assessing the service behavior of the dam and identifying the potential risks of the dam is of great significance to ensure the operation safety of the dam project. Different degrees of aging, disease, and even abnormal deformation and seepage problems often exist in the working environment of different degrees. The failure of the dam is not without warning. If the defects and hidden dangers of the dam are not discovered in time, it will lead to The deterioration of the safety situation will cause catastrophic accidents such as dam failure in serious cases

Method used

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  • Contribution degree identification method of influence factors of dam health conditions in full time and space domains
  • Contribution degree identification method of influence factors of dam health conditions in full time and space domains
  • Contribution degree identification method of influence factors of dam health conditions in full time and space domains

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Embodiment

[0057] Embodiment: The contribution degree identification technology of the influencing factors of the dam health status in the full time and space domain described in the present invention, taking a certain reservoir dam project as an example, select the attached Figure 5 ~ attached Figure 6 The calculated value of the safety degree of each measuring point in the typical dam section shown is the condition index of the neighborhood rough set information system, and the construction of 14 # The neighborhood model information system of the safety status of typical dam sections is shown in Table 1. The calculated value of the safety degree of each measuring point of the 14# dam section is the condition index of the neighborhood rough set information system, and the overall safety degree of the 14# dam section is the decision index. # See Table 1 for the information system of the neighborhood model information system of the safety status of typical dam sections. Based on Table 1...

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Abstract

The invention discloses a contribution degree identification method of influence factors of dam health conditions in full time and space domains. The method comprises the following steps: (1) defininga dam safety condition as a decision-system condition index, and using a dam overall-safety degree as a decision index to set a calculation parameter lambda and an index contribution degree lower-limit sig_ctrl; (2) calculating a neighborhood radius of a dam health condition index, and acquiring all sample neighborhoods [delta](x); (3) calculating a decision positive-domain POS(D), a dependence degree of the decision index on the condition index and a contribution degree SIG(a, B, D) of the condition index for any dam health status index a which is an element of a set A-red, wherein A-red is an index reduction set; and (6) finding an index a<k> with a highest contribution degree and a contribution degree SIG(a<k>, B, D) thereof, and carrying out judgment to complete identification of the contribution degrees of the influence factors of the dam overall-health conditions. According to the method, a neighborhood rough-set theory is introduced to carry out measurement of the contribution degrees of the influence factor indexes of the dam overall-health conditions to find the key index influencing the safety condition, and analysis of contribution degrees of all measurement-point safety degrees on the dam overall-safety condition is realized.

Description

technical field [0001] The invention relates to a method for identifying the contribution degree of influencing factors of the health status of a dam in full time and space, and belongs to the field of diagnosis and research on the health status of a dam in service. Background technique [0002] Assessing the service behavior of the dam and identifying the potential risks of the dam is of great significance to ensure the operation safety of the dam project. Different degrees of aging, disease, and even abnormal deformation and seepage problems often exist in the working environment of different degrees. The failure of the dam is not without warning. If the defects and hidden dangers of the dam are not discovered in time, it will lead to The deterioration of the safety situation will cause catastrophic accidents such as dam failure in severe cases. [0003] With the continuous construction of high dams and large reservoirs in my country, the height and scale of dam construct...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/13G06F30/20
Inventor 苏怀智任杰韩彰杨孟曹文翰
Owner HOHAI UNIV
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