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Rock-soil layer intelligent layering method and system based on clustering algorithm

A clustering algorithm and technology of rock and soil layers, applied in the field of engineering survey, can solve problems such as different types and units, no unified standards and regulations, and widely varying stratification results, so as to achieve the effects of improving efficiency, ensuring accuracy, and improving efficiency

Pending Publication Date: 2020-08-25
深圳市秉睦科技有限公司 +1
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Problems solved by technology

In addition, there are no uniform standards and regulations on which statistical analysis method to use and which technical indicators to choose for statistics, resulting in the stratified results of different technicians may vary widely
[0013] When layering, technicians also face a thorny problem, that is, the types and units of various engineering indicators of rock and soil layers are different, and it is difficult to measure the differences between them with accurate mathematical models

Method used

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  • Rock-soil layer intelligent layering method and system based on clustering algorithm
  • Rock-soil layer intelligent layering method and system based on clustering algorithm

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Embodiment 1

[0049] like figure 1 , the present invention also discloses a method for intelligent layering of rock and soil layers based on a clustering algorithm, comprising:

[0050] S100. Perform normalization processing in the technical index parameters of the rock and soil layer; including: first numerically process the non-numerical indexes in the technical index parameters of the rock and soil layer, and then correct all numerical indexes for order of magnitude difference, and obtain Normalized hierarchical technical indicator values.

[0051] Specifically, in the prior art, for stratification of rock and soil layers, stratification indicators can be divided into two types: numerical and non-numerical:

[0052] Numerical indicators: indicators that can be accurately expressed by numbers, such indicators are continuous numbers in mathematics. For example, the layered spatial distribution parameters, the moisture content in the indoor test index, and the standard penetration number ...

Embodiment 2

[0068] The present embodiment discloses a system for intelligent layering of rock and soil layers based on a clustering algorithm, including: a normalization module, a weighting module, and a clustering algorithm module, specifically:

[0069] The normalization module is used to normalize the technical index parameters of the rock and soil layer; including: firstly, the non-numeric indexes in the technical index parameters of the rock and soil layer are numerically processed, and then all the numerical indexes are quantified Difference fixes.

[0070] Specifically, the process of normalizing the technical indicators of rock and soil layers has been described in detail in Embodiment 1, and will not be repeated in this embodiment.

[0071] The weighting module is used to carry out weighting processing on the technical index parameters of the rock and soil layer, specifically: assigning a larger weight coefficient to the technical index with a large degree of stratification influ...

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Abstract

The invention discloses a rock-soil layer intelligent layering method based on a clustering algorithm. The method comprises the following steps: normalizing technical index parameters of the rock-soillayer; wherein the normalization method comprises the following steps: firstly, carrying out numeralization processing on non-numeral indexes in rock-soil layer technical index parameters, and then carrying out order-of-magnitude difference correction on all numeral indexes to obtain a normalized layering technical index value; performing weighting processing on the technical index parameters ofthe rock-soil layer, specifically, endowing the technical indexes with large layering influence degrees with large weight coefficients, and endowing the technical indexes with small influence degreeswith small weight coefficients; and performing clustering calculation through a K-Means algorithm by utilizing the corrected index values which can be used for calculation after normalization and weighting processing to achieve the purpose of intelligent layering of the rock-soil layer. According to the method, the layering work efficiency can be greatly improved, it is guaranteed that no human error occurs in the layering process, and a high-accuracy conflict-free layering result is obtained.

Description

technical field [0001] The invention relates to the field of engineering survey, in particular to an intelligent layering method for rock and soil layers based on a clustering algorithm. Background technique [0002] The workflow of engineering survey can be divided into two parts: field work and internal work. Field work is to carry out exploration operations on the actual project site and obtain first-hand original exploration data (mainly drilling data), while in-house work is to organize and process these original data to form usable result data. In internal work, the core step is stratification, that is, the division of rock and soil layers. The rock and soil mass in the project site is divided into several groups according to the geological age and engineering nature, which is convenient for engineering calculation and design. [0003] The current mainstream layering method can be summarized as the following steps: [0004] Collate raw data from each borehole to form...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N20/00
CPCG06N20/00G06F18/23213
Inventor 巩斯熠朱焕春张云涛吴兴文郭福钟陈晓雪马群明岳云艳谢焕忠赵诗雨
Owner 深圳市秉睦科技有限公司
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