CN114154843A - Method and system for identifying slope instability slip factor by displacement monitoring - Google Patents

Method and system for identifying slope instability slip factor by displacement monitoring Download PDF

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CN114154843A
CN114154843A CN202111440041.9A CN202111440041A CN114154843A CN 114154843 A CN114154843 A CN 114154843A CN 202111440041 A CN202111440041 A CN 202111440041A CN 114154843 A CN114154843 A CN 114154843A
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张一鸣
冯春
王雪雅
刘琦
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Abstract

The invention belongs to the technical field of slope instability monitoring and identification, and discloses a method and a system for identifying a slope instability slip-causing factor by utilizing displacement monitoring, wherein the system for identifying the slope instability slip-causing factor by utilizing displacement monitoring comprises the following steps: the slope data acquisition module, the data preprocessing module, the wireless communication module, the central control module, the slip factor determination module, the prediction identification model construction module, the slope instability analysis module, the data cloud storage module and the update display module. The system for identifying the slope instability slip-causing factor by utilizing displacement monitoring provided by the invention analyzes the effect of the slope stability and the slip-causing factor by utilizing the trend displacement statistical parameter as the slope stability reference variable, is accurate and effective, has strong practicability for judging the importance of the slip-causing factor of the regional slope, and has extremely important reference significance for analyzing the contribution and influence degree of each slip-causing factor on the slope instability.

Description

Method and system for identifying slope instability slip factor by displacement monitoring
Technical Field
The invention belongs to the technical field of slope instability monitoring and identification, and particularly relates to a method and a system for identifying a slip factor caused by slope instability by utilizing displacement monitoring.
Background
The instability of the side slope is one of the common geological disasters with great harmfulness, the forming condition is complex, the influence factors are numerous, the instability is closely related to the regional geology and the background condition, the instability is also closely related to external slip factors such as rainfall, underground water, human activities and the like of the instability, and the forming and the development are the results of the comprehensive action of the internal and external slip factors. The constitution of the slip-causing factors is extremely complex and can be generally divided into quantitative slip-causing factors and qualitative slip-causing factors, and the different slip-causing factors have different effects and influence degrees on the slope. How to identify the action size and the influence degree of different slip factors on slope instability, find and determine the main slip factor and the secondary slip factor of the slope instability in a specific area, and determine the decisive factor and the condition of the slope instability formation, and have important application value and significance for quantitative prediction of slope stability, effective determination of the main influence factor of the slope instability in a certain area and optimization of a prevention and treatment scheme.
At present, three methods for identifying the size and importance of factors influencing slope stability are mainly used: a geological analysis method, a sensitivity analysis method and a method for directly testing the slope slip-causing factor by using the change of the displacement parameter. However, the existing method is time-consuming and labor-consuming, has huge exploration cost and test cost, and is easy to generate larger test errors, so that a new method for monitoring and identifying the slip factors caused by slope instability is urgently needed.
Through the above analysis, the problems and defects existing in the prior art are mainly as follows: the existing method for identifying the factors influencing the slope stability is time-consuming, labor-consuming, high in exploration cost and testing cost and prone to generate large testing errors.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a method and a system for identifying a slip factor caused by slope instability by using displacement monitoring.
The invention is realized in this way, a system for identifying slide factors caused by slope instability by using displacement monitoring comprises:
the slope data acquisition module is connected with the central control module and used for acquiring the number of slope samples to be tested and slope element data in the range of the area to be monitored through data acquisition equipment;
the data preprocessing module is connected with the central control module and used for carrying out normalization processing on the acquired to-be-tested slope sample quantity and the slope element data through a data preprocessing program to obtain a to-be-tested slope data set, and the data preprocessing module comprises:
analyzing the obtained quantity of slope samples to be tested and the slope element data to obtain a uniform data format which is used as a basic data stream for data normalization processing;
performing feature extraction on key data, ports and protocol related data in the data by using a normalization processing algorithm and outputting data features;
combining and de-duplicating the repeated data according to the data characteristics, and standardizing abnormal source data in the slope sample data into a standard data format and content to realize the normalization processing of the data;
wherein, the formula of the normalization processing is as follows:
Figure BDA0003382619530000021
wherein x isiThe data after the normalization processing of the ith strip is obtained, and the numerical value is between 0 and 1;
Figure BDA0003382619530000022
is stream characteristic dataThe average value of the numerical values is,
Figure BDA0003382619530000023
s is the characteristic standard deviation of the sample,
Figure BDA0003382619530000024
n is the number of samples of the underlying data stream, xiRepresenting the ith abnormal data sample;
the wireless communication module is connected with the central control module and used for sending the preprocessed slope data set to be detected to the central processing unit and/or the singlechip through the wireless communication device;
and the central control module is connected with the slope data acquisition module, the data preprocessing module and the wireless communication module and is used for coordinately controlling the normal operation of each module of the system for monitoring and identifying the slip factors caused by the slope instability by utilizing the displacement through a central processing unit and/or a single chip microcomputer.
Further, the system for identifying the slip factor caused by slope instability by using displacement monitoring further comprises:
the system comprises a slip factor determination module, a prediction identification model construction module, a slope instability analysis module, a data cloud storage module and an update display module, wherein each module is connected with a central control module to realize the normal operation of each module of the system for monitoring and identifying the slope instability slip factor by displacement through a central processing unit and/or a single chip microcomputer;
the slip factor determination module is connected with the central control module and is used for determining the quantitative slip factor and the qualitative slip factor of the instability of the slope to be detected through a slope factor determination program;
the prediction identification model construction module is connected with the central control module and used for constructing a slope prediction identification model by utilizing a slope data set to be detected through a model construction program;
the slope instability analysis module is connected with the central control module and is used for analyzing the contribution and influence degree of slope instability according to the slope slip-causing factors through the slope prediction identification model;
the data cloud storage module is connected with the central control module and used for storing the obtained quantity of the slope samples to be tested, the slope element data, the slope data set to be tested, the slope slip-causing factors, the slope prediction identification model and the slope instability analysis result through the cloud database;
and the updating display module is connected with the central control module and is used for updating and displaying the acquired quantity of the slope samples to be tested, the slope element data, the slope data set to be tested, the slope slip-causing factor, the slope prediction and identification model and the real-time data of the slope instability analysis result through the display.
Further, in the slip factor determination module, the determining, by the slope factor determination program, a quantitative slip factor and a qualitative slip factor of the slope instability to be detected includes:
(1) setting a side slope displacement monitoring point and a displacement reference monitoring point, and forming a side slope displacement monitoring control network through the displacement monitoring foundation pile point and the side slope displacement deformation monitoring point;
(2) installing slope displacement monitoring equipment and displacement monitoring, setting time intervals to simultaneously monitor the displacement of each monitoring point, and respectively calculating the displacement monitoring mean value of each monitoring point;
(3) and based on the displacement monitoring mean value, determining a quantitative slip factor and a qualitative slip factor of the slope instability according to the basic composition of the slope stability factor and the slip factor.
Further, the quantitative slip factor refers to a slip factor that can be quantitatively tested, and the qualitative slip factor is a slip factor that is not quantifiable or not easily quantifiable.
Further, in the prediction identification model construction module, constructing a slope prediction identification model by using a slope data set to be tested through a model construction program includes:
(1) according to the basic principle of a quantitative theory, establishing a linear model which is followed by the slope reference variable and the values of all qualitative influence variables;
(2) determining a coefficient least square estimation value of a linear model by using a least square principle, and further establishing a slope instability slip factor correlation test equation;
(3) and constructing a slope prediction identification model according to a slope instability slip factor correlation test equation by using a slope data set to be tested.
Further, the slope prediction identification model is as follows:
Figure BDA0003382619530000041
where n is the number of data sets, ziThe method is to calculate the test precision of the slope instability reference variable in the ith sample to the slope instability slip factor correlation prediction equation,
Figure BDA0003382619530000042
is the actual displacement average, ziIs the value of the actual displacement to be,
Figure BDA0003382619530000043
the displacement value is calculated by the prediction equation, and R is a coefficient for judging the correlation of the prediction equation.
Further, the obtaining of the coefficient R of the decision prediction equation correlation includes:
according to the contribution of each slip factor to the reference variable, the dominant factor, the secondary factor and the insignificant factor are distinguished from a plurality of factors, and according to a correlation matrix R0And calculating the partial correlation coefficient of each factor variable.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the system for identifying a slope destabilization slip factor using displacement monitoring when executed on an electronic device.
It is another object of the present invention to provide a computer readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the system for identifying a slope destabilization-causing slip factor using displacement monitoring.
The invention also aims to provide an information data processing terminal which is characterized by being used for realizing the system for identifying the slope instability slip factor by using displacement monitoring.
By combining all the technical schemes, the invention has the advantages and positive effects that: the system for identifying the slope instability slip-causing factor by utilizing displacement monitoring provided by the invention analyzes the effect of the slope stability and the slip-causing factor by utilizing the trend displacement statistical parameter as the slope stability reference variable, is accurate and effective, has strong practicability for judging the importance of the slip-causing factor of the regional slope, and has extremely important reference significance for analyzing the contribution and influence degree of each slip-causing factor on the slope instability.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a system for identifying slip factors caused by slope instability by displacement monitoring according to an embodiment of the present invention;
in the figure: 1. a slope data acquisition module; 2. a data preprocessing module; 3. a wireless communication module; 4. a central control module; 5. a slip factor determination module; 6. a prediction identification model construction module; 7. a slope instability analysis module; 8. a data cloud storage module; 9. and updating the display module.
Fig. 2 is a flowchart of a method for identifying a slip factor caused by slope instability by using displacement monitoring according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for normalizing the acquired quantity of slope samples to be tested and the slope element data by a data preprocessing module using a data preprocessing program according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for determining a quantitative slip factor and a qualitative slip factor of the instability of the slope to be measured by the slip factor determination module using the slope factor determination program according to the embodiment of the present invention.
Fig. 5 is a flowchart of a method for constructing a slope prediction identification model by using a model construction program and using a slope data set to be detected through a prediction identification model construction module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Aiming at the problems in the prior art, the invention provides a method and a system for identifying a slip factor caused by slope instability by using displacement monitoring, and the invention is described in detail below with reference to the attached drawings.
As shown in fig. 1, the system for identifying slip factors caused by slope instability by using displacement monitoring provided by the embodiment of the present invention includes: the system comprises a slope data acquisition module 1, a data preprocessing module 2, a wireless communication module 3, a central control module 4, a slip factor determination module 5, a prediction and identification model construction module 6, a slope instability analysis module 7, a data cloud storage module 8 and an update display module 9.
The slope data acquisition module 1 is connected with the central control module 4 and used for acquiring the number of slope samples to be tested and slope element data within the range of the area to be monitored through data acquisition equipment;
the data preprocessing module 2 is connected with the central control module 4 and is used for carrying out normalization processing on the acquired quantity of the slope samples to be tested and the slope element data through a data preprocessing program to obtain a slope data set to be tested;
the wireless communication module 3 is connected with the central control module 4 and is used for sending the preprocessed slope data set to be detected to the central processing unit and/or the singlechip through the wireless communication device;
the central control module 4 is connected with the slope data acquisition module 1, the data preprocessing module 2, the wireless communication module 3, the slip factor determination module 5, the prediction identification model construction module 6, the slope instability analysis module 7, the data cloud storage module 8 and the update display module 9, and is used for coordinately controlling the normal operation of each module of the system for identifying the slip factor caused by slope instability by displacement monitoring through a central processing unit and/or a single chip microcomputer;
the slip factor determination module 5 is connected with the central control module 4 and is used for determining the quantitative slip factor and the qualitative slip factor of the instability of the slope to be detected through a slope factor determination program;
the prediction identification model construction module 6 is connected with the central control module 4 and used for constructing a slope prediction identification model by utilizing a slope data set to be detected through a model construction program;
the slope instability analysis module 7 is connected with the central control module 4 and used for analyzing the contribution and influence degree of slope instability according to the slope slip-causing factors through a slope prediction identification model;
the data cloud storage module 8 is connected with the central control module 4 and is used for storing the obtained quantity of the slope samples to be tested, the slope element data, the slope data set to be tested, the slope slip factor, the slope prediction identification model and the slope instability analysis result through the cloud database;
and the updating display module 9 is connected with the central control module 4 and is used for updating and displaying the acquired number of slope samples to be tested, the slope element data, the slope data set to be tested, the slope slip-causing factor, the slope prediction and identification model and the real-time data of the slope instability analysis result through a display.
As shown in fig. 2, the method for identifying slip factors caused by slope instability by using displacement monitoring provided by the embodiment of the present invention includes the following steps:
s101, acquiring the number of slope samples to be tested and slope element data in a region to be monitored by a slope data acquisition module through data acquisition equipment;
s102, normalizing the acquired quantity of the slope samples to be tested and the slope element data by using a data preprocessing program through a data preprocessing module to obtain a slope data set to be tested;
s103, sending the preprocessed slope data set to be detected to a central processing unit and/or a singlechip through a wireless communication module by using a wireless communication device;
s104, the central control module coordinately controls the normal operation of each module of the system for monitoring and identifying the slip factor caused by slope instability by utilizing displacement;
s105, determining a quantitative slip factor and a qualitative slip factor of the instability of the slope to be detected by a slip factor determining module through a slope factor determining program;
s106, constructing a slope prediction identification model by using a model construction program through a prediction identification model construction module;
s107, analyzing the contribution and influence degree of the slope instability by using a slope prediction identification model according to the slope slip-causing factor through a slope instability analysis module;
s108, storing the obtained quantity of the slope samples to be tested, the slope element data, the slope data set to be tested, the slope slip-causing factor, the slope prediction and identification model and the slope instability analysis result by using the cloud data base through the data cloud storage module;
and S109, updating and displaying the acquired quantity of the slope samples to be tested, the slope element data, the slope data set to be tested, the slope slip factor, the slope prediction and identification model and the real-time data of the slope instability analysis result by using the display through the updating and displaying module.
As shown in fig. 3, in step S102 provided in the embodiment of the present invention, the performing normalization processing on the obtained slope sample number to be tested and the slope element data by using a data preprocessing program through a data preprocessing module includes:
s201, analyzing the obtained quantity of slope samples to be tested and slope element data to obtain a uniform data format as a basic data stream of data normalization processing;
s202, extracting the characteristics of key data, ports and protocol related data in the data by using a normalization processing algorithm and outputting data characteristics;
and S203, combining and de-duplicating the repeated data according to the data characteristics, and normalizing the abnormal source data in the slope sample data into a standard data format and content to realize the normalization processing of the data.
The normalization processing formula provided by the embodiment of the invention is as follows:
Figure BDA0003382619530000081
wherein, x'iThe data is the data after the ith normalization treatment, and the numerical value is between 0 and 1;
Figure BDA0003382619530000082
is a numerical average of the flow characteristic data,
Figure BDA0003382619530000083
s is the characteristic standard deviation of the sample,
Figure BDA0003382619530000084
n is the number of samples of the underlying data stream, xiRepresenting the ith exception data sample.
As shown in fig. 4, in step S105, the determining, by the slip factor determining module, a slope factor determining program to determine a quantitative slip factor and a qualitative slip factor of the slope instability to be detected includes:
s301, setting a slope displacement monitoring point and a displacement reference monitoring point, and forming a slope displacement monitoring control network through the displacement monitoring foundation pile point and the slope displacement deformation monitoring point;
s302, installing slope displacement monitoring equipment and displacement monitoring, setting time intervals to simultaneously monitor the displacement of each monitoring point, and respectively calculating the displacement monitoring mean value of each monitoring point;
s303, based on the displacement monitoring mean value, determining a quantitative slip factor and a qualitative slip factor of the slope instability according to the basic composition of the slope stability factor and the slip factor.
The quantitative slip factor provided by the embodiment of the invention refers to a slip factor which can be quantitatively tested, and the qualitative slip factor is a slip factor which cannot be quantified or is not easily quantified.
As shown in fig. 5, in step S106 provided in the embodiment of the present invention, the building, by the prediction identification model building module, a slope prediction identification model by using a model building program and using a slope dataset to be detected includes:
s401, according to the basic principle of a quantitative theory, establishing a linear model to which a slope reference variable and each qualitative influence variable value conform;
s402, determining a coefficient least square estimation value of the linear model by using a least square principle, and further establishing a slide factor correlation test equation caused by slope instability;
and S403, constructing a slope prediction identification model according to a slope instability slip factor correlation test equation by using the slope data set to be tested.
The slope prediction identification model provided by the embodiment of the invention is as follows:
Figure BDA0003382619530000091
where n is the number of data sets, ziThe method is to calculate the test precision of the slope instability reference variable in the ith sample to the slope instability slip factor correlation prediction equation,
Figure BDA0003382619530000092
is the actual displacement average, ziIs the value of the actual displacement to be,
Figure BDA0003382619530000093
the displacement value is calculated by the prediction equation, and R is a coefficient for judging the correlation of the prediction equation.
The obtaining of the coefficient R for judging the correlation of the prediction equation provided by the embodiment of the invention comprises the following steps: according to the contribution of each slip factor to the reference variable, the dominant factor, the secondary factor and the insignificant factor are distinguished from a plurality of factors, and according to a correlation matrix R0And calculating the partial correlation coefficient of each factor variable.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in whole or in part in the form of a computer program product, the computer program product comprises one or more computer instructions. When the computer program instructions are loaded or executed on a computer, all or part of the procedures or functions according to the embodiments of the present invention are performed. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in, or transmitted from one computer-readable storage medium to another computer-readable storage medium, the computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media, such as a floppy Disk, hard Disk, magnetic tape, optical medium (e.g., DVD), or semiconductor medium (e.g., Solid State Disk (SSD)), etc.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. A system for identifying a slope instability slip factor by displacement monitoring is characterized by comprising the following components:
the slope data acquisition module is connected with the central control module and used for acquiring the number of slope samples to be tested and slope element data in the range of the area to be monitored through data acquisition equipment;
the data preprocessing module is connected with the central control module and used for carrying out normalization processing on the acquired to-be-tested slope sample quantity and the slope element data through a data preprocessing program to obtain a to-be-tested slope data set, and the data preprocessing module comprises:
analyzing the obtained quantity of slope samples to be tested and the slope element data to obtain a uniform data format which is used as a basic data stream for data normalization processing;
performing feature extraction on key data, ports and protocol related data in the data by using a normalization processing algorithm and outputting data features;
combining and de-duplicating the repeated data according to the data characteristics, and standardizing abnormal source data in the slope sample data into a standard data format and content to realize the normalization processing of the data;
wherein, the formula of the normalization processing is as follows:
Figure FDA0003382619520000011
wherein, x'iThe data is the data after the ith normalization treatment, and the numerical value is between 0 and 1;
Figure FDA0003382619520000012
is a numerical average of the flow characteristic data,
Figure FDA0003382619520000013
s is the characteristic standard deviation of the sample,
Figure FDA0003382619520000014
n is the number of samples of the underlying data stream, xiRepresenting the ith abnormal data sample;
the wireless communication module is connected with the central control module and used for sending the preprocessed slope data set to be detected to the central processing unit and/or the singlechip through the wireless communication device;
and the central control module is connected with the slope data acquisition module, the data preprocessing module and the wireless communication module and is used for coordinately controlling the normal operation of each module of the system for monitoring and identifying the slip factors caused by the slope instability by utilizing the displacement through a central processing unit and/or a single chip microcomputer.
2. The system for identifying a slope instability slip factor using displacement monitoring as claimed in claim 1, wherein the system for identifying a slope instability slip factor using displacement monitoring further comprises:
the system comprises a slip factor determination module, a prediction identification model construction module, a slope instability analysis module, a data cloud storage module and an update display module, wherein each module is connected with a central control module to realize the normal operation of each module of the system for monitoring and identifying the slope instability slip factor by displacement through a central processing unit and/or a single chip microcomputer;
the slip factor determination module is connected with the central control module and is used for determining the quantitative slip factor and the qualitative slip factor of the instability of the slope to be detected through a slope factor determination program;
the prediction identification model construction module is connected with the central control module and used for constructing a slope prediction identification model by utilizing a slope data set to be detected through a model construction program;
the slope instability analysis module is connected with the central control module and is used for analyzing the contribution and influence degree of slope instability according to the slope slip-causing factors through the slope prediction identification model;
the data cloud storage module is connected with the central control module and used for storing the obtained quantity of the slope samples to be tested, the slope element data, the slope data set to be tested, the slope slip-causing factors, the slope prediction identification model and the slope instability analysis result through the cloud database;
and the updating display module is connected with the central control module and is used for updating and displaying the acquired quantity of the slope samples to be tested, the slope element data, the slope data set to be tested, the slope slip-causing factor, the slope prediction and identification model and the real-time data of the slope instability analysis result through the display.
3. The system for identifying slope instability slip-causing factors by displacement monitoring as claimed in claim 2, wherein in the slip-causing factor determination module, the determining of the quantitative slip-causing factor and the qualitative slip-causing factor of the slope instability to be detected by the slope factor determination program comprises:
(1) setting a side slope displacement monitoring point and a displacement reference monitoring point, and forming a side slope displacement monitoring control network through the displacement monitoring foundation pile point and the side slope displacement deformation monitoring point;
(2) installing slope displacement monitoring equipment and displacement monitoring, setting time intervals to simultaneously monitor the displacement of each monitoring point, and respectively calculating the displacement monitoring mean value of each monitoring point;
(3) and based on the displacement monitoring mean value, determining a quantitative slip factor and a qualitative slip factor of the slope instability according to the basic composition of the slope stability factor and the slip factor.
4. The system for identifying slope instability slip factors using displacement monitoring as claimed in claim 3, wherein the quantitative slip factor is a slip factor that can be quantitatively tested, and the qualitative slip factor is an unquantifiable or unquantifiable slip factor.
5. The system for identifying slope instability slip factors using displacement monitoring as claimed in claim 2, wherein in the prediction identification model construction module, the construction of the slope prediction identification model using the slope dataset to be measured by the model construction program includes:
(1) according to the basic principle of a quantitative theory, establishing a linear model which is followed by the slope reference variable and the values of all qualitative influence variables;
(2) determining a coefficient least square estimation value of a linear model by using a least square principle, and further establishing a slope instability slip factor correlation test equation;
(3) and constructing a slope prediction identification model according to a slope instability slip factor correlation test equation by using a slope data set to be tested.
6. The system for identifying slope instability slip factors using displacement monitoring according to claim 5, wherein the slope prediction identification model is:
Figure FDA0003382619520000031
where n is the number of data sets, ZiThe method is to calculate the test precision of the slope instability reference variable in the ith sample to the slope instability slip factor correlation prediction equation,
Figure FDA0003382619520000032
is the actual displacement average, ziIs the value of the actual displacement to be,
Figure FDA0003382619520000033
the displacement value is calculated by the prediction equation, and R is a coefficient for judging the correlation of the prediction equation.
7. The system for identifying slope instability slip factors using displacement monitoring as claimed in claim 6, wherein the determining the coefficient R of the correlation of the prediction equation comprises:
according to the contribution of each slip factor to the reference variable, the dominant factor, the secondary factor and the insignificant factor are distinguished from a plurality of factors, and according to a correlation matrix R0And calculating the partial correlation coefficient of each factor variable.
8. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the system for identifying slope instability slip factor using displacement monitoring as claimed in any one of claims 1 to 7 when executed on an electronic device.
9. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the system for identifying slope instability-causing slip factors using displacement monitoring as claimed in any one of claims 1 to 7.
10. An information data processing terminal, characterized in that, the information data processing terminal is used to implement the system for identifying the slide factor caused by slope instability by using displacement monitoring according to any one of claims 1 to 7.
CN202111440041.9A 2021-11-30 2021-11-30 Method and system for identifying slope instability slip factor by displacement monitoring Withdrawn CN114154843A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115544906A (en) * 2022-09-02 2022-12-30 中国水利水电科学研究院 Expansive soil slope seepage instability prediction method and system and terminal equipment

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115544906A (en) * 2022-09-02 2022-12-30 中国水利水电科学研究院 Expansive soil slope seepage instability prediction method and system and terminal equipment
CN115544906B (en) * 2022-09-02 2024-04-26 中国水利水电科学研究院 Expansive soil slope seepage instability prediction method, system and terminal equipment

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