CN113704849B - Evaluation method for power transmission and transformation project slope instability risk degree - Google Patents

Evaluation method for power transmission and transformation project slope instability risk degree Download PDF

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CN113704849B
CN113704849B CN202110986635.3A CN202110986635A CN113704849B CN 113704849 B CN113704849 B CN 113704849B CN 202110986635 A CN202110986635 A CN 202110986635A CN 113704849 B CN113704849 B CN 113704849B
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李熙
陈垚
江世雄
李昕妍
王重卿
车艳红
翁孙贤
程慧青
陈震平
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Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
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Abstract

The invention relates to an evaluation method of the instability risk degree of a side slope of a power transmission and transformation project, which comprises the following steps of setting indexes for evaluating the instability risk degree of the side slope of the power transmission and transformation project and collecting data of all the indexes; when the data of each index is collected, if the index is a descriptive index, marking the data as the index by an expert; carrying out standardization processing on the data of each index, and eliminating the difference between the data of each index; screening the indexes, and eliminating the indexes with small information quantity and high repeated information; determining weight coefficients corresponding to the indexes and weighting the weight coefficients to obtain a comprehensive index score; forming a corresponding relation between the comprehensive index score and the instability risk level; and obtaining the comprehensive index score of the side slope of the target power transmission and transformation project and the instability risk level. The invention evaluates the instability risk of the slope through a plurality of indexes and index processing methods related to the stability of the slope. According to the comprehensive evaluation of the slope index, the method can be used for the early warning or site selection of the instability of the slope of the power transmission and transformation project.

Description

Evaluation method for power transmission and transformation project slope instability risk degree
Technical Field
The invention relates to an evaluation method for the instability risk degree of a slope in a power transmission and transformation project, and belongs to the technical field of slope instability risk early warning.
Background
The central element of the geological environment of the power transmission and transformation project is a power transmission line project or a transformer substation, and various geological conditions affecting the activities of the power transmission and transformation project belong to the geological environment of the power transmission and transformation project for the development of the power grid technology. The power transmission and transformation project is most susceptible to geological environment factors due to the characteristics of long wiring and wide span. According to the related data, the natural environment factors causing the power transmission line to fail are mainly: high temperature, low temperature, lightning, ice and snow, storm, earthquake, landslide, debris flow, etc. The geological disasters directly impacting the transmission line tower and the foundation mainly comprise geological disasters such as ice disasters, strong storms, earthquakes, floods, landslides and the like. In the prior art, an expert is adopted to score the index, and then comprehensive evaluation is carried out according to the scoring result. The disadvantage is that scoring is greatly influenced by subjective factors, and the instability risk degree of each side slope cannot be transversely compared. The side slope risk management method and the site selection basis of the system are not favorable.
The application document with the application number of CN20201392937. X discloses a slope engineering technical state evaluation method. And evaluating the side slope state by collecting indexes related to the side slope state. The method has the defects that the stability of the side slope is not evaluated, and the side slope instability early warning effect is realized through the evaluation.
Disclosure of Invention
In order to overcome the problems, the invention provides an evaluation method for the instability risk degree of a slope of a power transmission and transformation project, which evaluates the instability risk of the slope through a plurality of indexes related to the stability of the slope and an index processing method. According to the comprehensive evaluation of the slope index, the method can be used for the early warning or site selection of the instability of the slope of the power transmission and transformation project.
The technical scheme of the invention is as follows:
the evaluation method of the power transmission and transformation project side slope instability risk degree comprises the following steps,
setting a plurality of indexes for evaluating the instability risk degree of the power transmission and transformation project side slope, and collecting data of the indexes; the indexes comprise a topography index, a lithology index, a construction index, a meteorological condition index, an adverse geological action index and an artificial activity index; when the data of each index is collected, if the index is a descriptive index, marking the data as the index by an expert;
respectively carrying out standardization processing on the data of each index to eliminate the difference between the data of each index;
screening the indexes, and eliminating the indexes with small information quantity and high repeated information;
determining weight coefficients corresponding to the indexes and weighting the weight coefficients to obtain a comprehensive index score;
repeating the steps to obtain comprehensive index scores of a plurality of power transmission and transformation engineering slopes;
grading the instability risk degree of the power transmission and transformation project side slope according to the comprehensive index scores to form a corresponding relation between the comprehensive index scores and the instability risk grades;
and collecting data of each index of the side slope of the target power transmission and transformation project to obtain a comprehensive index score and a instability risk level.
Preferably, the topography index comprises three sub-indexes of slope height, gradient and vegetation coverage; the lithology and structure indexes comprise two sub-indexes of rock-soil body characteristics and geological structures; the meteorological condition indexes comprise three sub-indexes of precipitation, icing thickness and wind speed; the adverse geological effect indexes comprise two sub indexes of earthquake and landslide; the artificial activity index comprises an artificial excavation degree sub-index.
Further, the normalizing process for the data of each index includes the following steps:
step S1, selecting a sub-index which is not subjected to standardization processing to carry out standardization processing;
step S2, judging whether the sub-index is a numerical index, if so, executing step S3, otherwise, considering that the sub-index is subjected to standardization processing, and executing step S5;
step S3, judging whether the data of the sub-index has an outlier, if so, correcting the outlier, and executing step S4, otherwise, executing step S4;
step S4, the data of the sub-index is standardized, and the data score of the sub-index is obtained;
and S5, judging whether the normalization processing is carried out on all the sub indexes, if so, ending the normalization processing, and if not, executing the step S1.
Further, the formula of the correction outlier in step S2 is as follows:
wherein x is i The ith data of the sub-index; q1 and Q3 are the first quartile and the third quartile of the data for the sub-index, respectively; IQR is the quartile range.
Further, the normalizing the data of the sub-index in step S3 includes the following steps:
step T1, establishing a plurality of index scoring functions; each index scoring function corresponds to different data distribution types and positive and negative properties respectively;
step T2, arranging the data of the sub-indexes according to ascending order, taking the horizontal axis as a data sequence number and the vertical axis as a data value, establishing a coordinate system, and fitting to obtain a data distribution function of the sub-indexes;
and step T3, determining a matched index scoring function according to the positive and negative properties of the data distribution function and the index to obtain a basic scoring function, and obtaining a basic score corresponding to each piece of data of the sub-index through the basic scoring function.
Further, the method further comprises the step of correcting the basic score, specifically:
manually scoring each data of the sub-index to obtain a manual score and a manual score interval of each data of the sub-index;
and mapping the basic score to the manual scoring interval to obtain a corrected basic score.
Further, the screening of each index includes screening of indexes based on information quantity, specifically:
the coefficient of variation CV of the sub-index is calculated as follows:
wherein s is the standard deviation of sub-indexes, x i Is the ith data of the sub-index, m is the data quantity of the sub-index,is the mean value of the sub-indexes;
setting a threshold T 1 Rejection coefficient of variation CV is less than threshold T 1 Is a sub-indicator of (2).
Further, the screening of each index includes screening the indexes based on correlation, specifically:
selecting any two sub-indexes, and arranging the data of the two sub-indexes in ascending order respectively;
the correlation coefficient ρ of the two sub-indices is calculated as follows:
wherein g i And t i The i-th data of the two sub-indices respectively,and->Respectively mean values of the two sub-indexes;
repeating the steps until the correlation coefficient rho among all the sub-indexes is obtained;
setting a threshold T 2 The absolute value of the rejection correlation coefficient ρ is greater than T 2 Is one of the two sub-indices of (a).
Further, the determining and weighting the weight coefficient corresponding to each index specifically includes:
step G1, sequencing all the sub-indexes according to the importance of the power transmission and transformation project slope instability to obtain an importance sequence;
step G2, artificially endowing the relative importance r of two adjacent sub-indexes in the importance sequence i The expression is as follows:
wherein,and->The importance degrees of the ith sub-index and the ith-1 sub-index in the importance sequence are respectively;
step G3, calculating the importance of the sub-index with the lowest importancen is the number of sub-indexes, and the formula is as follows:
step G4, according to the relative importance r of the adjacent two sub-indexes i Calculating to obtain the weight coefficient omega of the ith sub-index i ；
Step G5, weighting to obtain a comprehensive index score Y, wherein the formula is as follows:
wherein x is j And omega j The basic scores of the jth sub-index of a slope of a power transmission and transformation project and the weight coefficients corresponding to the sub-indexes are respectively obtained.
Further, the step of grading the instability risk degree of the power transmission and transformation project side slope according to the comprehensive index scores to form a corresponding relation between the comprehensive index scores and the instability risk grades comprises the following steps:
step D1, determining a grading number K, and arranging the comprehensive index scores Y in an ascending order;
and D2, calculating the sum SDAM of square deviations of the comprehensive index scores Y, wherein the formula is as follows:
wherein Y is j The j-th composite index is scored,the average value of the scores of all the comprehensive indexes is calculated; m' is the scoring number of the comprehensive indexes;
step D3, grading the comprehensive index score Y;
and D4, calculating the sum SDBC of square deviations of the inter-stage comprehensive index scores Y, wherein the formula is as follows:
wherein Y is ki Scoring the ith composite index of the k-th level,mean value of scores of all comprehensive indexes of k grades, m k Scoring the number of the k-level comprehensive indexes;
and D5, calculating a variance fitting goodness GVF, wherein the formula is as follows:
and D6, repeating the steps D3 to D5 until the variance fitting goodness under all grading conditions is obtained, and grading the slope instability risk degree of each power transmission and transformation project according to the grading scheme corresponding to the minimum value of the variance fitting goodness.
The invention has the following beneficial effects:
1. according to the evaluation method, 5 indexes with the largest correlation with the instability of the side slope of the power transmission and transformation project and sub-indexes under each index are selected to evaluate the risk degree of the instability of the side slope, and the early warning is carried out on the instability of the side slope according to the evaluation result. The loss caused by the instability of the side slope of the power transmission and transformation project is reduced.
2. Compared with a common minimum-maximum standardization method, the evaluation method is changed to establish a plurality of index scoring functions. And matching the index scoring function according to the positive and negative properties of the index and the distribution function of the data. And obtaining a basic scoring function by adjusting parameters of the index scoring function. The basic scoring function has better relationship between the fit index and the risk degree.
3. Compared with an expert scoring method, the scoring range is easy to be overlarge through a basic scoring function, the scoring interval of the index is obtained through expert scoring, the basic scoring is mapped to the scoring interval, and the influence on comprehensive evaluation due to expansion of the scoring range is reduced.
4. According to the evaluation method, the influence of the outlier on the scoring structure is reduced through correction of the outlier.
5. The evaluation method eliminates the indexes with less information quantity and higher correlation, and improves the evaluation accuracy.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention.
FIG. 2 is a schematic diagram of the index of the present invention.
FIG. 3 is a schematic diagram of a standardized flow scheme of the present invention.
Detailed Description
The invention will now be described in detail with reference to the drawings and to specific embodiments.
Example 1
Referring to fig. 1, a method for evaluating the degree of risk of instability of a side slope of a power transmission and transformation project includes the following steps,
setting a plurality of indexes for evaluating the instability risk degree of the power transmission and transformation project side slope, and collecting data of the indexes; the indexes comprise a topography index, a lithology index, a construction index, a meteorological condition index, an adverse geological action index and an artificial activity index; when the data of each index is collected, if the index is a descriptive index, marking the data as the index by an expert;
because the actual values of the indexes are different, the specific condition of the power transmission and transformation project side slope cannot be easily known through the index values, the data of the indexes are required to be standardized respectively, and the difference between the data of the indexes is eliminated;
the index has the problems of small information quantity and high correlation with other indexes, if a certain index is highly always represented in a research area, namely, the information quantity is small, the index loses meaning on the risk degree, the calculated quantity is increased, and if certain correlation exists between the two indexes, repeated information is amplified, so that the accuracy of an evaluation result is influenced. Therefore, the indexes are required to be screened, and indexes with small information quantity and high repeated information are removed;
determining weight coefficients corresponding to the indexes and weighting the weight coefficients to obtain a comprehensive index score;
repeating the steps to obtain comprehensive index scores of a plurality of power transmission and transformation engineering slopes;
grading the instability risk degree of the power transmission and transformation project side slope according to the comprehensive index scores to form a corresponding relation between the comprehensive index scores and the instability risk grades;
and collecting data of each index of the side slope of the target power transmission and transformation project to obtain a comprehensive index score and a instability risk level.
Referring to fig. 2, in the present embodiment, the topography index includes three sub-indexes of a slope height, a gradient, and a vegetation coverage; the higher the slope is, the more easily landslide is generated, the construction of a transformer substation and the stability of a foundation are greatly influenced, and the sensitivity of the power transmission line to meteorological conditions such as wind speed, icing and the like is also increased when the ground distance of the power transmission line is increased due to the higher slope; gradient is an important factor affecting the geological environment of power transmission and transformation engineering. The slope gradient of the foundation of the power transmission and transformation project is very large, so that foundation damage is very easy to occur; the influence of vegetation coverage rate on power transmission and transformation projects is divided into positive and negative aspects, on one hand, the vegetation coverage rate is high, so that water and soil conservation is facilitated, the occurrence probability of natural disasters such as landslide, debris flow and the like is reduced, and on the other hand, the vegetation coverage rate is high due to the specificity of the power transmission and transformation projects, so that the construction and later maintenance of the projects are not facilitated. The lithology and structure indexes comprise two sub-indexes of rock-soil body characteristics and geological structures; the main influencing factors of the rock-soil body characteristics on the power transmission and transformation project include the mechanical property of the foundation soil body, the stability of the rock stratum and the content and influence degree of the special soil body; the address structure can influence the integrity of the rock-soil body structure, and the rock-soil body with poor integrity can often cause side slope instability, thereby influencing the safety of power transmission and transformation engineering. The meteorological condition indexes comprise three sub-indexes of precipitation, icing thickness and wind speed; the water level of the underground water and the corrosiveness of the underground water can be determined by precipitation, so that the stability of the foundation is greatly influenced; the larger the thickness of the ice coating is, the larger the load loaded on the power transmission line is, so that extra tension can be generated on the tower, the instability of the tower is caused, the distance between the line and the ground is reduced due to the ice coating of the line, and the safe operation of the power transmission line is affected; for overhead transmission lines with higher heights, wind load generated by strong wind acts on the transmission lines, which is equivalent to applying dynamic load to digital transmission lines, and is easy to cause damage such as foundation pulling. The adverse geological effect indexes comprise two sub indexes of earthquake and landslide; the earthquake can produce damage to the power transmission and transformation project; the volume, speed and distance from the slope of the landslide can all influence the stability of the tower foundation. The artificial activity index comprises an artificial excavation degree sub-index; the manual excavation degree directly influences the regional address environment stability of the power transmission and transformation project construction site, and the side slope risk degree is higher in the region with the overlarge manual excavation degree.
Referring to fig. 3, in this embodiment, the normalization processing is performed on the data of each index, including the following steps:
step S1, selecting a sub-index which is not subjected to standardization processing to carry out standardization processing;
step S2, judging whether the sub-index is a numerical index, if so, executing step S3, otherwise, considering that the sub-index is subjected to standardization processing, and executing step S5;
step S3, judging whether the data of the sub-index has an outlier, if so, correcting the outlier, and executing step S4, otherwise, executing step S4; compared with expert scoring, the actual numerical value of the index may have an outlier, and the outlier may have serious influence on the scoring structure, so that correction is required;
step S4, the data of the sub-index is standardized, and the data score of the sub-index is obtained;
and S5, judging whether the normalization processing is carried out on all the sub indexes, if so, ending the normalization processing, and if not, executing the step S1.
Example two
On the basis of the first embodiment, the correction outlier in the step S2 is formulated as follows:
wherein x is i The ith data of the sub-index; q1 and Q3 are the first quartile and the third quartile of the data for the sub-index, respectively; IQR is the quartile range. The correction method corrects the outlier to the maximum or minimum value of the normal interval, and reduces the influence of the outlier on the evaluation structure.
Example III
On the basis of the first embodiment, the method for evaluating the instability risk degree of the power transmission and transformation project side slope in step S3 is characterized by comprising the following steps:
step T1, establishing a plurality of index scoring functions; each index scoring function corresponds to different data distribution types and positive and negative properties respectively; because the natural distribution of the data in reality mainly comprises three types of data which are concentrated on smaller values, concentrated on larger values and normal distribution, and the three types of data are combined with the positive property and the negative property of the data, six index scoring functions are needed; in this embodiment, the index scoring function is as follows:
first index scoring function:
a second index scoring function:
third index scoring function:
fourth index scoring function:
fifth index scoring function:
sixth index scoring function:
wherein y is n And x n Data of a certain sub index of the nth power transmission and transformation project side slope and the data are scored, x min And x max Respectively the minimum value and the maximum value of the data of the sub-index, alpha is a first curvature adjusting coefficient, gamma is a second curvature adjusting coefficient, beta is a horizontal adjusting coefficient, epsilon and eta are respectively a function vertical adjusting coefficient and a functionCounting the expansion coefficients in the vertical direction;
step T2, arranging the data of the sub-indexes according to ascending order, taking the horizontal axis as a data sequence number and the vertical axis as a data value, establishing coordinates, and fitting to obtain a data distribution function of the sub-indexes; the change condition of the data can be obtained according to the distribution function, wherein the change condition comprises buffering before fast, buffering after fast, buffering before slow and then slow; wherein, the data of the small value area is more in the first cache and then the data of the large value area is more in the first cache and then the data of the intermediate value; these three distribution cases reflect that in actual cases the data is concentrated on smaller values, concentrated on larger values and normal distribution.
And step T3, determining a matched index scoring function according to the data distribution function, adjusting parameters of the index scoring function according to the data distribution of the sub-index to obtain a basic scoring function, and obtaining a basic score corresponding to each data of the sub-index through the basic scoring function. When determining the index scoring function, judging whether the sub-index and the risk degree are positively or negatively correlated, namely the positive and negative properties of the data, and determining the matched index scoring function according to the data distribution function of the sub-index. The distribution function of the positive indexes is a first index scoring function of firstly caching and then caching matching, a second index scoring function of firstly caching and then caching matching, a fifth index scoring function of firstly caching and then caching matching, the distribution function of the negative indexes is a third index scoring function of firstly caching and then caching matching, a fourth index scoring function of firstly caching and then caching matching, and a sixth index scoring function of firstly caching and then caching matching.
In this embodiment, the base score obtained by the base score function is vertically distributed in 1-10, and compared with expert scoring, the distribution range of the base score is widened, and the actual score should be concentrated in a certain area, so that the base score needs to be corrected.
Manually scoring each data of the sub-index to obtain a manual score and a manual score interval of each data of the sub-index;
and mapping the basic score to the manual scoring interval to obtain a corrected basic score.
Example IV
On the basis of the third embodiment, the method for evaluating the instability risk degree of the power transmission and transformation project side slope screens the indexes, including the index screening based on the information quantity, specifically comprises the following steps:
the coefficient of variation CV of the sub-index is calculated as follows:
wherein s is the standard deviation of sub-indexes, x i Is the ith data of the sub-index, m is the data quantity of the sub-index,is the mean value of the sub-indexes;
setting a threshold T 1 Rejection coefficient of variation CV is less than threshold T 1 Is a sub-indicator of (2). The smaller the coefficient of variation, the more concentrated the value of the sub-index, and the smaller the amount of information contained. If the comprehensive evaluation is performed, the accuracy of the evaluation system is affected by the inclusion of an index with a small amount of excessive information.
The screening of the indexes comprises the index screening based on correlation, specifically:
selecting any two sub-indexes, and arranging the data of the two sub-indexes in ascending order respectively;
the correlation coefficient ρ of the two sub-indices is calculated as follows:
wherein g i And t i The i-th data of the two sub-indices respectively,and->Respectively mean values of the two sub-indexes;
repeating the steps until the correlation coefficient rho among all the sub-indexes is obtained;
setting a threshold T 2 The absolute value of the rejection correlation coefficient ρ is greater than T 2 Is one of the two sub-indices of (a). The correlation analysis method includes Pearson correlation coefficient, spearman correlation coefficient and Kendall correlation coefficient. The Pearson first relation number requires that the variable is normal distribution and is in linear relation with the target, and most of influence factors of the instability risk degree cannot meet the normal distribution, and the index and the risk degree part are in linear relation. Kendall correlation coefficient application objects are classification variables, and Spearman correlation coefficients are applied to numerical variables, so indexes are filtered based on Spearman correlation coefficients.
Example five
On the basis of the fourth embodiment, the method for evaluating the instability risk degree of the power transmission and transformation project side slope determines and weights the weight coefficient corresponding to each index specifically comprises the following steps:
step G1, sequencing all the sub-indexes according to the importance of the power transmission and transformation project slope instability to obtain an importance sequence;
step G2, artificially endowing the relative importance r of two adjacent sub-indexes in the importance sequence i The expression is as follows:
wherein,and->The importance degrees of the ith sub-index and the ith-1 sub-index in the importance sequence are respectively;
step G3, calculating the importance of the sub-index with the lowest importancen is the number of sub-indexes, and the formula is as follows:
step G4, according to the relative importance r of the adjacent two sub-indexes i Calculating to obtain the weight coefficient omega of the ith sub-index i ；
Step G5, weighting to obtain a comprehensive index score Y, wherein the formula is as follows:
wherein x is j And omega j The basic scores of the jth sub-index of a slope of a power transmission and transformation project and the weight coefficients corresponding to the sub-indexes are respectively obtained.
Grading the instability risk degree of the power transmission and transformation project side slope according to the comprehensive index scores to form a corresponding relation between the comprehensive index scores and the instability risk grades, wherein the method comprises the following steps of:
step D1, determining a grading number K, and arranging the comprehensive index scores Y in an ascending order;
and D2, calculating the sum SDAM of square deviations of the comprehensive index scores Y, wherein the formula is as follows:
wherein Y is j The j-th composite index is scored,the average value of the scores of all the comprehensive indexes is calculated; m' is the scoring number of the comprehensive indexes;
step D3, grading the comprehensive index score Y;
and D4, calculating the sum SDBC of square deviations of the inter-stage comprehensive index scores Y, wherein the formula is as follows:
wherein Y is ki Scoring the ith composite index of the k-th level,mean value of scores of all comprehensive indexes of k grades, m k Scoring the number of the k-level comprehensive indexes;
and D5, calculating a variance fitting goodness GVF, wherein the formula is as follows:
and D6, repeating the steps D3 to D5 until the variance fitting goodness under all grading conditions is obtained, and grading the slope instability risk degree of each power transmission and transformation project according to the grading scheme corresponding to the minimum value of the variance fitting goodness.
After grading is finished, judging the risk degree of instability of the side slope of the new power transmission and transformation project, and only needing to score the comprehensive index of the side slope in a grading scheme without grading again. The ranking scheme may also be updated by the new slope data.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures made by the description of the invention and the accompanying drawings, or direct or indirect application in other related technical fields, are included in the scope of the invention.

Claims (2)

1. The evaluation method of the power transmission and transformation project side slope instability risk degree is characterized by comprising the following steps of,
setting a plurality of indexes for evaluating the instability risk degree of the power transmission and transformation project side slope, and collecting data of the indexes; the indexes comprise a topography index, a lithology index, a construction index, a meteorological condition index, an adverse geological action index and an artificial activity index; when the data of each index is collected, if the index is a descriptive index, marking the data as the index by an expert;
respectively carrying out standardization processing on the data of each index to eliminate the difference between the data of each index;
screening the indexes, and eliminating the indexes with small information quantity and high repeated information;
determining weight coefficients corresponding to the indexes and weighting the weight coefficients to obtain a comprehensive index score;
repeating the steps to obtain comprehensive index scores of a plurality of power transmission and transformation engineering slopes;
grading the instability risk degree of the power transmission and transformation project side slope according to the comprehensive index scores to form a corresponding relation between the comprehensive index scores and the instability risk grades;
collecting data of each index of a side slope of a target power transmission and transformation project to obtain a comprehensive index score and a destabilization risk level;
the topography index comprises three sub-indexes of slope height, gradient and vegetation coverage; the lithology and structure indexes comprise two sub-indexes of rock-soil body characteristics and geological structures; the meteorological condition indexes comprise three sub-indexes of precipitation, icing thickness and wind speed; the adverse geological effect indexes comprise two sub indexes of earthquake and landslide; the artificial activity index comprises an artificial excavation degree sub-index;
the standardized processing of the data of each index comprises the following steps:
step S1, selecting a sub-index which is not subjected to standardization processing to carry out standardization processing;
step S2, judging whether the sub-index is a numerical index, if so, executing step S3, otherwise, considering that the sub-index is subjected to standardization processing, and executing step S5;
step S3, judging whether the data of the sub-index has an outlier, if so, correcting the outlier, and executing step S4, otherwise, executing step S4;
step S4, the data of the sub-index is standardized, and the data score of the sub-index is obtained;
step S5, judging whether the normalization processing is carried out on all the sub indexes, if so, ending the normalization processing, and if not, executing step S1;
the step S3 of normalizing the data of the sub-index includes the following steps:
step T1, establishing a plurality of index scoring functions; each index scoring function corresponds to different data distribution types and positive and negative properties respectively;
step T2, arranging the data of the sub-indexes according to ascending order, taking the horizontal axis as a data sequence number and the vertical axis as a data value, establishing a coordinate system, and fitting to obtain a data distribution function of the sub-indexes;
step T3, determining a matched index scoring function according to the positive and negative properties of the data distribution function and the index to obtain a basic scoring function, and obtaining a basic score corresponding to each data of the sub-index through the basic scoring function;
the method further comprises the step of correcting the basic score, specifically:
manually scoring each data of the sub-index to obtain a manual score and a manual score interval of each data of the sub-index;
mapping the basic score to the manual scoring interval to obtain a corrected basic score;
the screening of the indexes comprises the index screening based on information quantity, specifically comprises the following steps:
the coefficient of variation CV of the sub-index is calculated as follows:
wherein s is the standard deviation of sub-indexes, x i Is the ith data of the sub-index, m is the data quantity of the sub-index,is the mean value of the sub-indexes;
setting a threshold T 1 Rejection coefficient of variation CV is less than threshold T 1 Sub-indices of (2);
the screening of the indexes comprises the index screening based on correlation, specifically:
selecting any two sub-indexes, and arranging the data of the two sub-indexes in ascending order respectively;
the correlation coefficient ρ of the two sub-indices is calculated as follows:
wherein g i And t i The i-th data of the two sub-indices respectively,and->Respectively being the average value of the two sub-indexes, wherein N represents the number of the sub-indexes to be judged;
repeating the steps until the correlation coefficient rho among all the sub-indexes is obtained;
setting a threshold T 2 The absolute value of the rejection correlation coefficient ρ is greater than T 2 One of the two sub-indices of (2);
the weight coefficient corresponding to each index is determined and weighted, specifically:
step G1, sequencing all the sub-indexes according to the importance of the power transmission and transformation project slope instability to obtain an importance sequence;
step G2, artificially endowing the relative importance r of two adjacent sub-indexes in the importance sequence i The expression is as follows:
wherein,and->The importance degrees of the ith sub-index and the ith-1 sub-index in the importance sequence are respectively;
step G3, calculating the importance of the sub-index with the lowest importancen is the number of sub-indexes, and the formula is as follows:
step G4, according to the relative importance r of the adjacent two sub-indexes i Calculating to obtain the weight coefficient omega of the ith sub-index i ；
Step G5, weighting to obtain a comprehensive index score Y, wherein the formula is as follows:
wherein x is j And omega j Respectively providing basic scores of jth sub-indexes of a slope of a power transmission and transformation project and weight coefficients corresponding to the sub-indexes;
grading the instability risk degree of the power transmission and transformation project side slope according to the comprehensive index scores to form a corresponding relation between the comprehensive index scores and the instability risk grades, wherein the method comprises the following steps of:
step D1, determining a grading number K, and arranging the comprehensive index scores Y in an ascending order;
and D2, calculating the sum SDAM of square deviations of the comprehensive index scores Y, wherein the formula is as follows:
wherein Y is j The j-th composite index is scored,the average value of the scores of all the comprehensive indexes is calculated; m' is the scoring number of the comprehensive indexes;
step D3, grading the comprehensive index score Y;
and D4, calculating the sum SDBC of square deviations of the inter-stage comprehensive index scores Y, wherein the formula is as follows:
wherein Y is ki Scoring the ith composite index of the k-th level,mean value of scores of all comprehensive indexes of k grades, m k Scoring the number of the k-level comprehensive indexes;
and D5, calculating a variance fitting goodness GVF, wherein the formula is as follows:
and D6, repeating the steps D3 to D5 until the variance fitting goodness under all grading conditions is obtained, and grading the slope instability risk degree of each power transmission and transformation project according to the grading scheme corresponding to the minimum value of the variance fitting goodness.
2. The method for evaluating the risk degree of slope instability in power transmission and transformation engineering according to claim 1, wherein the correction outlier in step S2 is as follows:
wherein x is i The ith data of the sub-index; q1 and Q3 are the first quartile and the third quartile of the data for the sub-index, respectively; IQR is the quartile range.
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