CN111724380B - Rock-soil structure quality evaluation method based on ELO algorithm - Google Patents
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Abstract
A rock-soil structure quality evaluation method based on an ELO algorithm comprises the following steps: extracting rock and soil data set X ═ X1,x2,K,xnContains n data points, where each geotechnical data point xiOf dimension p, i.e. xi＝{xi1,xi2Kxip}T(ii) a And selecting data points according to the density of the rock-soil data points, and inputting the rock-soil data sets of the C central points into the ELO algorithm module after the C central points are selected to obtain the rock-soil structure quality value. The method adopts the ELO algorithm applied to the field of rock-soil quality judgment, can realize accurate judgment of the rock-soil quality, can realize accurate judgment of rock-soil data by introducing the adjustment supplement value into the ELO algorithm, overcomes the defect of unadjustable original ELO algorithm, obviously improves the rock-soil judgment efficiency, greatly enhances the accuracy and enhances the user experience.
Description
Technical Field
The invention relates to the technical field of rock-soil data processing, in particular to a rock-soil structure quality evaluation method based on an ELO algorithm.
Background
The rock-soil quality evaluation is firstly to carry out rock-soil exploration, and has great progress in the rapid development process, no matter in a system, or in various aspects of exploration methods, computer-aided software, exploration report compilation and the like, and is also in continuous optimization. The main object of geotechnical engineering investigation work research is the relationship between foundation and underground engineering. Since the foundation soil varies from place to place, when receiving a geotechnical engineering investigation task, it is necessary to determine what the main technical contradiction of the engineering is, which main technical problems need to be solved. Under the condition of fingering the design intention, the design requirements and the building load condition, in the geotechnical engineering investigation and implementation process, according to the specific conditions of engineering, the problems possibly encountered in the design and construction process of foundation and underground engineering are given sufficient demonstration and analysis, and finally, an economical, reasonable and technically feasible solution is provided. Only in this way, the geotechnical engineering investigation can improve the quality of the investigation result, and a larger market can be provided.
The main purpose of geotechnical engineering geological prospecting is to clarify the geological condition of the engineering site and provide geological prospecting results and various geotechnical engineering parameters for its design and construction, and the quality of the prospecting report plays a significant role in engineering safety and cost. The quality of the engineering investigation result directly affects the construction safety of the engineering project and the construction cost. Scientific provision of geotechnical parameters in basic geology is not only related to safety and economy of basic design, but also includes feasibility demonstration of engineering construction. Geotechnical engineering investigation work comprises the aspects of on-site drilling, undisturbed soil sampling, indoor testing, on-site in-situ testing and the like of engineering, and the accurate reliability of an investigation result is ensured by paying attention to that each link of engineering investigation is executed according to relevant national specifications strictly and combining the construction experience of local engineering. On the basis of meeting the corresponding national standard, the high-quality geotechnical engineering investigation report can truly and objectively reflect the problems of the topography, the landform, the stratum, the geological structure, the underground water, the geotechnical properties, the adverse geological action and the like of the investigation site, and more importantly, correct and reasonable geotechnical engineering analysis and evaluation should be carried out to provide reasonable and credible geotechnical engineering parameters and suggestions.
However, the existing rock-soil structure quality evaluation only acquires rock-soil related data without further processing, or the existing rock-soil structure quality only acquires single data in the modes of images or sensors and the like without comprehensively analyzing and evaluating the rock-soil structure data, so that the mode easily causes inaccurate rock-soil structure quality evaluation and low efficiency, how to quickly evaluate the rock-soil structure quality, and the improvement of the evaluation accuracy rate is an urgent need.
Disclosure of Invention
In order to solve the technical problems, the invention provides a rock-soil structure quality evaluation method based on an ELO algorithm, which is used for evaluating the quality according to a rock-soil data set. The invention is realized in such a way that:
a rock-soil structure quality evaluation method based on an ELO algorithm comprises the steps of extracting a rock-soil data set X ═ X1,x2,K,xnAnd the data points comprise n data points, wherein each geotechnical data point xiOf dimension p, i.e. xi＝{xi1,xi2Kxip}T(ii) a Wherein x isi1Representing the number of the rock and soilDensity of the dots, xi2The image gray value, x, representing the geotechnical data pointi3Humidity, x representing the geotechnical data pointi4R value, x in RGB image representing the geotechnical data pointi5G-value, x in RGB image representing the geotechnical data pointi6B value, x in RGB image representing the geotechnical data pointi7Particle size, x of rock representing the rock data pointi8Representing the free expansion rate of the rock and soil data point, selecting the rock and soil data point with the maximum rock and soil density as a center c1，
Wherein m is a geotechnical data point; then, select and c1The point with the distance greater than L and the second highest density is the second central point c2；
Wherein, gj＝d(c1,mj)·ρjWherein g isjIs an intermediate variable, pjIs the density of the rock and soil, and d (c)1,mj) Is center c1And the rock data point m to be selectedjSelecting the selected candidate data points with the distance from all the selected initialization centers larger than L and the density of the third largest as a third center point c3，
Wherein,
the minimum distance between the rock-soil data point to be selected and all selected initialization centers is rjIs an intermediate variable; t +1 st center point c when t initialization center points have been selectedt+1，
Wherein,
wherein q isjIs an intermediate variable; and when the C central points are selected, inputting the rock-soil data sets of the C central points into the ELO algorithm module to obtain the rock-soil structure quality value.
Preferably, the input to the ELO algorithm module for obtaining the geotechnical structure quality value is represented as Rn＝Rn-1KΦ(αRn-1+β)+δ；
RnAnd Rn-1Respectively representing the rock-soil structure quality value in the nth calculation and the (n-1) th calculation, phi (x) is an accumulative distribution function of standard normal distribution,
k is the amplification factor, yt1、yt2And delta is the adjustment supplement value, and sigma is the variance at the t1 moment and the t2 moment of the rock-soil data set respectively.
Preferably, the gray value of the rock-soil data point is selected according to the maximum inter-class variance method OSTU.
Preferably, the gray value obtaining step includes graying the rock-soil image by a maximum method, and taking the maximum value of the three-component brightness in the color image as the gray value of the gray map:
f(i,j)＝max(R(i,j),G(i,j),B(i,j))
and f (i, j) is the gray value of the j characteristic parameter of the transformed rock-soil gray image at the ith time point.
Preferably, the method further comprises the steps of filtering and denoising rock-soil image information by preprocessing and feature extraction before the rock-soil gray value is obtained; and determining image pixels and orientation information.
Preferably, the geotechnical data set further includes: h, S, V values for data points HSV image in geotechnical images.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
the problem of inaccurate judgment of rock and soil caused by low speed and low accuracy in the traditional rock and soil evaluation technology is solved; according to the rock-soil evaluation method, the ELO algorithm is applied to the field of rock-soil quality judgment, accurate judgment of the rock-soil quality can be achieved, adjustment supplement is introduced into the ELO algorithm, accurate judgment of rock-soil data can be achieved, the defect that the original ELO algorithm cannot be adjusted is overcome, the rock-soil evaluation efficiency is remarkably improved, the accuracy is greatly improved, and user experience is enhanced.
Drawings
FIG. 1 is a diagram of a geotechnical evaluation system of the invention;
Detailed Description
As will be understood by those skilled in the art, as the background art shows, the conventional rock-soil evaluation technology has the problems of low speed and low accuracy, which result in inaccurate rock-soil judgment, and poor user experience, and therefore, a rock-soil evaluation method which can significantly improve the rock-soil evaluation efficiency and greatly enhance the accuracy is required to be designed. In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
FIG. 1 shows a diagram of a rock-soil evaluation system of the application, and a rock-soil structure quality evaluation method based on an ELO algorithm comprises the steps of extracting a rock-soil data set X ═ { X ═1,x2,K,xnAnd the data points comprise n data points, wherein each geotechnical data point xiOf dimension p, i.e. xi＝{xi1,xi2Kxip}T(ii) a Wherein x isi1Density, x representing the geotechnical data pointi2The image gray value, x, representing the geotechnical data pointi3Humidity, x representing the geotechnical data pointi4R value, x in RGB image representing the geotechnical data pointi5G-value, x in RGB image representing the geotechnical data pointi6B value, x in RGB image representing the geotechnical data pointi7Particle size, x of rock representing the rock data pointi8Representing the free expansion rate of the rock and soil data point, selecting the rock and soil data point with the maximum rock and soil density as the centerc1，
Wherein m is a geotechnical data point; then, select and c1The point with the distance greater than L and the second highest density is the second central point c2；
Wherein, gj＝d(c1,mj)·ρjWherein g isjIs an intermediate variable, pjIs the density of the rock and soil, and d (c)1,mj) Is center c1And the rock data point m to be selectedjSelecting the selected candidate data points with the distance from all the selected initialization centers larger than L and the density of the third largest as a third center point c3，
Wherein,
the minimum distance between the rock-soil data point to be selected and all selected initialization centers is rjIs an intermediate variable; t +1 st center point c when t initialization center points have been selectedt+1，
Wherein,
wherein q isjIs an intermediate variable; and when the C central points are selected, inputting the rock-soil data sets of the C central points into the ELO algorithm module to obtain the rock-soil structure quality value.
In some embodiments, the input to the ELO algorithm module to obtain the geotechnical structure quality value is represented as Rn＝Rn- 1KΦ(αRn-1+β)+δ；
RnAnd Rn-1Respectively representing the rock-soil structure quality value in the nth calculation and the (n-1) th calculation, phi (x) is an accumulative distribution function of standard normal distribution,
k is the amplification factor, yt1、yt2And delta is the adjustment supplement value, and sigma is the variance at the t1 moment and the t2 moment of the rock-soil data set respectively.
In some embodiments, the gray value of the rock-soil data point is selected according to a maximum inter-class variance method OSTU.
In some embodiments, the gray value obtaining step includes graying the rock-soil image by a maximum method, and taking the maximum value of the three-component brightness in the color image as the gray value of the gray map:
f(i,j)＝max(R(i,j),G(i,j),B(i,j))
and f (i, j) is the gray value of the j characteristic parameter of the transformed rock-soil gray image at the ith time point.
In some embodiments, the method further comprises the steps of preprocessing filtering and denoising rock-soil image information and feature extraction before the rock-soil gray value is obtained; and determining image pixels and orientation information.
In some embodiments, the geotechnical data set further comprises: h, S, V values for data points HSV image in geotechnical images.
The invention solves the problems of inaccurate rock and soil judgment caused by low speed and low accuracy in the traditional rock and soil evaluation technology; according to the rock-soil evaluation method, the ELO algorithm is applied to the field of rock-soil quality judgment, accurate judgment of the rock-soil quality can be achieved, adjustment supplement is introduced into the ELO algorithm, accurate judgment of rock-soil data can be achieved, the defect that the original ELO algorithm cannot be adjusted is overcome, the rock-soil evaluation efficiency is remarkably improved, the accuracy is greatly improved, and user experience is enhanced.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (6)
1. A rock-soil structure quality evaluation method based on an ELO algorithm is characterized by comprising the step of extracting a rock-soil data set X ═ X1,x2,…… ,xnAnd the data points comprise n data points, wherein each geotechnical data point xiOf dimension p, i.e. xi＝{xi1,xi2, …… , xip}T(ii) a Wherein x isi1Density, x representing the geotechnical data pointi2The image gray value, x, representing the geotechnical data pointi3Humidity, x representing the geotechnical data pointi4R value, x in RGB image representing the geotechnical data pointi5G-value, x in RGB image representing the geotechnical data pointi6B value, x in RGB image representing the geotechnical data pointi7Particle size, x of rock representing the rock data pointi8Representing the free expansion rate of the rock and soil data point, selecting the rock and soil data point with the maximum rock and soil density as a center c1，
Wherein m is a geotechnical data point; then, select and c1The point with the distance greater than L and the second highest density is the second central point c2；
Wherein, gj＝d(c1,mj)·ρjWherein g isjIs an intermediate variable, pjIs the density of the rock and soil, and d (c)1,mj) Is center c1And the rock data point m to be selectedjSelecting the selected candidate data points with the distance from all the selected initialization centers larger than L and the density of the third largest as a third center point c3，
Wherein,
the minimum distance between the rock-soil data point to be selected and all selected initialization centers is obtained, wherein r isjIs an intermediate variable; t +1 st center point c when t initialization center points have been selectedt+1，
Wherein,
wherein q isjIs an intermediate variable; and when the C central points are selected, inputting the rock-soil data sets of the C central points into the ELO algorithm module to obtain the rock-soil structure quality value.
2. The method for evaluating the quality of a geotechnical structure based on the ELO algorithm as claimed in claim 1, wherein the quality value of the geotechnical structure obtained by inputting to the ELO algorithm module is expressed as Rn＝Rn-1KΦ(αRn-1+β)+δ；
RnAnd Rn-1Respectively representing the rock-soil structure quality value in the nth calculation and the (n-1) th calculation, phi (x) is an accumulative distribution function of standard normal distribution,
k is the amplification factor, yt1、yt2And delta is the adjustment supplement value, and sigma is the variance at the t1 moment and the t2 moment of the rock-soil data set respectively.
3. The method for evaluating the quality of the geotechnical structures based on the ELO algorithm according to claim 1, wherein the gray value of the geotechnical data points is selected according to a maximum inter-class variance method OSTU through a gray threshold of geotechnical images.
4. The method for evaluating the quality of the geotechnical structures based on the ELO algorithm according to claim 1, wherein the gray value obtaining step comprises graying the geotechnical images by a maximum value method, and taking the maximum value of three-component brightness in the color images as the gray value of the gray image:
f(i,j)＝max(R(i,j),G(i,j),B(i,j))
and f (i, j) is the gray value of the j characteristic parameter of the transformed rock-soil gray image at the ith time point.
5. The method for evaluating the quality of the geotechnical structures based on the ELO algorithm according to claim 1, wherein the method further comprises the steps of filtering, denoising and feature extraction on geotechnical image information through preprocessing before obtaining the geotechnical gray value; and determining image pixels and orientation information.
6. The method for evaluating the quality of the geotechnical structures based on the ELO algorithm according to claim 1, wherein the geotechnical data set further comprises: h, S, V values for data points HSV image in geotechnical images.
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