CN115329679A - Method, device, equipment and storage medium for early warning of base-cover type slope fracture surface - Google Patents
Method, device, equipment and storage medium for early warning of base-cover type slope fracture surface Download PDFInfo
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Abstract
The invention provides a method, a device, equipment and a storage medium for early warning of a base-cover type slope fracture surface, and relates to the technical field of mountain disasters. According to the method and the device, the geometric form parameters and the position parameters of the slope generation trailing edge fracture surface are predicted by utilizing the neural network according to various parameters acquired on site, the accuracy of the prediction result is improved, and meanwhile, the prediction time is shortened. And then, calculating an intensity reduction method based on the geometrical form parameters and the position parameters of the rear edge fracture surface and the parameters acquired on site to obtain the safety coefficient of the rear edge fracture surface and the total amount of the potential slip soil, performing early warning based on the safety coefficient of the rear edge fracture surface and the total amount of the potential slip soil, and meanwhile, combining a plurality of influence factors to obtain a final early warning grade, so that the judgment and consideration factors of the early warning grade are more perfect, and the accuracy of the early warning grade is further improved.
Description
Technical Field
The invention relates to the technical field of mountain disaster, in particular to a method, a device, equipment and a storage medium for early warning of a base-cover type slope fracture surface.
Background
The conventional prediction device and the prediction method cannot accurately predict the rear edge fracture surface of the base-cover type side slope, so that the early warning precision is not high enough, the prediction advance time is short, and the condition of misinformation is easy to occur, so that personnel panic and material waste are caused. In addition, a large number of related research studies show that the research on generating the trailing edge fracture surface of the base-cover type slope is less in the early warning technology in the past.
Disclosure of Invention
The invention aims to provide a method, a device, equipment and a storage medium for early warning of a fracture surface of a base-cover type slope, so as to solve the problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the application provides a method for early warning of a fracture surface of a base-cover type slope, comprising the following steps:
acquiring a first parameter, a second parameter and a third parameter; the first parameter is a three-dimensional position parameter of a slope crack in an area to be pre-warned; the second parameters are physical parameters and mechanical parameters of the slope rock-soil body in the area to be pre-warned; the third parameter comprises a shear strength parameter of a contact surface in the area to be pre-warned, wherein the contact surface is an interface of bedrock and rock-soil mass of a slope;
inputting the first parameter, the second parameter and the third parameter into the trained neural network model based on the trained neural network model to obtain the geometric form parameter and the position parameter of the trailing edge fracture surface;
calculating by using an intensity reduction method based on the geometrical form parameter and the position parameter of the trailing edge fracture surface, the second parameter and the third parameter to respectively obtain a safety factor of the trailing edge fracture surface and a total amount of potential slip soil;
and early warning is carried out on the fracture surface of the base-covering type slope based on the safety factor and the total amount of the potential slip soil.
The second aspect, this application still provides base and cover type side slope fracture surface early warning's device, including obtaining module, first calculation module, second calculation module and early warning module, wherein:
an acquisition module: the parameter acquisition module is used for acquiring a first parameter, a second parameter and a third parameter; the first parameter is a three-dimensional position parameter of a slope crack in an area to be pre-warned; the second parameters are physical parameters and mechanical parameters of the slope rock-soil body in the area to be pre-warned; the third parameter comprises the shear strength parameter of a contact surface in the area to be early-warned, and the contact surface is an interface of bedrock and rock-soil body of the side slope.
A first calculation module: and the device is used for inputting the first parameter, the second parameter and the third parameter into the trained neural network model based on the trained neural network model to obtain the geometric form parameter and the position parameter of the trailing edge fracture surface.
A second calculation module: and calculating by using an intensity reduction method based on the geometric form parameter and the position parameter of the trailing edge fracture surface, the second parameter and the third parameter to respectively obtain the safety coefficient of the trailing edge fracture surface and the total square amount of the potential slip soil.
The early warning module: and the early warning is carried out on the fracture surface of the base-cover type slope based on the safety factor and the total amount of the potential slip soil.
In a third aspect, the present application further provides a device for early warning of a fracture surface of a base-cover type slope, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the method for early warning the fracture surface of the base-cover type slope when the computer program is executed.
In a fourth aspect, the present application further provides a storage medium, where a computer program is stored on the storage medium, and the computer program, when executed by a processor, implements the steps of the method for early warning of a fracture surface of a base-cover slope.
The invention has the beneficial effects that:
according to the method and the device, the geometric form parameters and the position parameters of the slope generation trailing edge fracture surface are predicted by utilizing the neural network according to various parameters acquired on site, the accuracy of the prediction result is improved, and meanwhile, the prediction time is shortened. And then, calculating an intensity reduction method based on the geometrical form parameters and the position parameters of the rear edge fracture surface and the parameters acquired on site to obtain the safety coefficient of the rear edge fracture surface and the total amount of the potential slip soil, performing early warning based on the safety coefficient of the rear edge fracture surface and the total amount of the potential slip soil, and simultaneously combining a plurality of influence factors to obtain a final early warning grade, so that the judgment and consideration factors of the early warning grade are more perfect, and the accuracy of the early warning grade is further improved. In addition, the monitoring and early warning range is wide, and the wide range is divided into two parts. Firstly, the monitoring and early warning method and the device are suitable for a plurality of base covering type slopes; secondly, the early warning method and the early warning device can bring the whole foundation type slope on site and part of the annual environment of the whole foundation type slope into a monitoring and early warning area. And the monitoring can be carried out all day in real time, the cost is low, excessive manpower and material resources are not required to be invested except for installing a displacement monitoring instrument, the cost is low, the safety of the base-cladding type side slope is ensured, and the construction cost is reduced.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic flow chart of a method for early warning of a fracture surface of a base-cover type slope in the embodiment of the invention;
FIG. 2 is a schematic structural diagram of a base-cover type slope fracture surface early warning device in the embodiment of the invention;
fig. 3 is a schematic structural diagram of a device for early warning of a fracture surface of a base-cover type slope in the embodiment of the present invention.
In the figure: 710. an acquisition module; 720. a first calculation module; 721. a first acquisition unit; 722. a first processing unit; 7221-a second acquisition unit; 72211-a third acquisition unit; 72212-a screening unit; 72213-an analysis unit; 72214-a generalization unit; 72215-a fifth processing unit; 7222-a first building element; 7223-a second building unit; 7224-an analog unit; 7225-a second processing unit; 7226-a third processing unit; 7227-a fourth processing unit; 723. a training unit; 730. a second calculation module; 740. an early warning module; 800. a base-cover type slope fracture surface early warning device; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention without any creative work belong to the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
Example 1:
referring to fig. 1, fig. 1 is a schematic flow chart of a method for early warning of a fracture surface of a base-cover type slope in an embodiment of the present invention. The figure shows that the method comprises step S1, step S2, step S3 and step S4, wherein:
s1, acquiring a first parameter, a second parameter and a third parameter; the first parameter is a three-dimensional position parameter of a slope crack in an area to be pre-warned; the second parameters are physical parameters and mechanical parameters of the slope rock-soil body in the area to be pre-warned; the third parameter comprises the shear strength parameter of a contact surface in the area to be early-warned, and the contact surface is an interface of bedrock and rock-soil body of the side slope.
It can be understood that, in this step, the first parameter, the second parameter and the third parameter are respectively obtained by performing on-site acquisition by using methods such as geological exploration technology, satellite remote sensing technology and geotechnical test.
And S2, inputting the first parameter, the second parameter and the third parameter into the trained neural network model based on the trained neural network model to obtain the geometric form parameter and the position parameter of the trailing edge fracture surface.
It is understood that, in this step, the trained neural network model is used to predict the geometric parameters and the position parameters of the trailing edge fracture surface according to the first parameter, the second parameter and the third parameter collected in the field. Not only has high speed, but also has higher prediction precision.
The training method of the neural network model comprises a step S21, a step S22 and a step S23.
S21, acquiring a fourth parameter and a fifth parameter which correspond to each other, wherein the fourth parameter is a physical parameter and a mechanical parameter of the side slope in the actual engineering of the base-cover type side slope; and the fifth parameter is a geometric form parameter and a position parameter of a slope crack in the actual engineering of the base-cover type slope.
It can be understood that, in this step, the corresponding fourth parameter and the fifth parameter are obtained from the actual engineering and used as sample set data for neural network model training, and the obtaining method includes geological exploration technology, satellite remote sensing technology, geotechnical test, and the like.
Further, the selection method for acquiring the principal component factor in the fourth parameter in step S21 includes step S211, step S212, step S213, step S214, and step S215.
And S211, acquiring geological exploration data of the trailing edge fracture surface phenomenon generated by the base-cover type slope in at least ten actual projects.
It can be understood that in this step, through network data, books, newspapers and other relevant data, at least ten geological exploration data for researching the phenomenon that the base-cover slope generates the trailing edge fracture surface in actual engineering are collected. Typically as follows: in 1983, a large landslide phenomenon occurs on a le mountain based coverage type side slope in the autonomous county of Dongxiang province in Gansu province, and an obvious fracture surface appears at the rear edge of the side slope through investigation; in 1996, a large landslide phenomenon occurs on an old gold-based covered mountain slope in Yuanyang county, yunnan province, and an obvious fracture surface appears at the rear edge of the slope through investigation; in 2007, the phenomenon of landslide of a super-huge mountain is caused in the rock gate village of Qingningcounty, daxian province, and from the picture shot on site, an extremely obvious fracture surface is still left on the rear edge of the mountain slope; local landslide disasters occur in the pit village of Bijie city, guizhou province in 2013, and the fracture surface appearing at the rear edge of the side slope can still be clearly seen on site. Geological exploration data comprises geological conditions data of rocks, strata, structures, mineral products, hydrology, landforms and the like, physical data of various rocks and ores such as density, magnetism, electrical property, elasticity, radioactivity and the like, and mechanical parameters such as elastic modulus, poisson's ratio, cohesive force, internal friction angle, tensile strength, normal direction and tangential rigidity and the like.
And S212, determining target parameters based on the geological exploration data, wherein the target parameters are specific positions and forms of the trailing edge fracture surface generated by the base-cover type slope in the actual engineering.
It will be appreciated that in this step, the specific location and configuration of the site-based slope leading edge fracture surface is investigated and summarized. Most of the base-cover type side slope generating fracture surfaces are located behind the slope body at the initial positions, cracks are generated from a certain position of the rear edge slope surface, the increase and the combination of the cracks along with the state are continuous, finally, an obvious fracture surface is generated at the rear edge of the base-cover type side slope, and most of the base-cover type side slope rear edge fracture surfaces form a curve with a certain radian (the general radian is not large), so that the rear edge fracture surfaces randomly generated in the side slope model in the numerical simulation are arc-shaped. Analyzing and researching the generated trailing edge fracture surface based on the change of the base-cover type side slope and the surrounding environment, and extracting key target parameters for promoting the base-cover type side slope to generate the trailing edge fracture surface:
a. reducing the shear strength of rock-soil mass at the contact surface in the foundation-covering type side slope;
b. the increase of the water pressure of a local gap in a slope body at the upper part of the base-cover type side slope causes tiny cracks to be generated in the slope body, and the tiny cracks gradually evolve into cracks visible to naked eyes along with the mutual combination of the cracks;
c. extremely unreasonable human activity: excavating a foundation-covering type side slope toe, applying overload on a foundation-covering type side slope top, excavating an underground goaf in a large area and the like.
And S213, determining the composition structure of the foundation-covering type slope in the actual engineering based on the geological exploration data.
It will be appreciated that in this step, the compositional structure of the in situ foundational slopes is investigated and generalized based on geological survey data. The base-covering type side slope mainly comprises three parts, wherein the first part is a slope body at the upper part and mainly comprises loose soil bodies; the second part is a contact surface at the middle part and mainly formed by filling crushed stones and soil in a mixed manner; the third part is the lower bedrock, which is mainly composed of hard rock.
And S214, summarizing and summarizing by using an analytical method based on the target parameters and the composition structure of the base-cover type slope in the actual engineering to obtain the depicting factors and the weight values of the depicting factors.
It can be understood that, in this step, the specific position and the development form of the fracture surface at the trailing edge of the base-cover type slope and the width of the initial crack at the slope surface are focused, and it is found that most of the fracture surfaces at the trailing edge of the base-cover type slope are curved surface shapes, and the widths of the initial cracks are different. In the whole process of generating the trailing edge fracture surface of the base-cover type slope, the change of the cohesive force and the internal friction angle of the rock-soil body on the slope body at the upper part of the slope and the contact surface of the slope is focused, and the shear strength of the rock-soil body at the contact surface is reduced to a certain degree. Based on the research on the phenomenon that the trailing edge fracture surface is generated on the on-site foundation-covering type side slope, the key factor of induction is found to be the reduction of the shear strength parameters (cohesive force and internal friction angle) of rock and soil mass at the contact surface of the foundation-covering type side slope due to strong rainfall, groundwater seepage and the like. And (4) screening out partial factors from the target parameters according to the analysis, and summarizing the partial factors by means of a chromatographic analysis method, a principal component analysis method and the like to obtain the depicting factors influencing the generation of the trailing edge fracture surface and the corresponding weight values of the depicting factors. The characterization factors comprise intrinsic parameters of rock and soil mass on the upper portion of the base-covering type slope and bedrock on the lower portion of the base-covering type slope and corresponding weight values of the intrinsic parameters, the intrinsic parameters comprise density (0.13), water content (0.13), gravity acceleration (0.05), elastic modulus (0.12), poisson ratio (0.12), normal stiffness and tangential stiffness (0.13), cohesive force (0.14), internal friction angle (0.14), overload (0.04) and the like, and it needs to be noted that numerical values in parentheses are the weight values corresponding to each characterization factor.
And S215, obtaining a principal component factor based on the depicting factor, the weight value and a preset threshold value.
It can be understood that, in this step, the preset threshold is the total number of the characterization factors, the characterization factors are sorted in a descending order according to the weight value, and the characterization factor at the front within the preset threshold range is selected as the principal component factor. The problem that the trailing edge fracture surface is generated by the base-cover type slope is researched based on the principal component factors, the influence of the factors with less contribution on the prediction result can be reduced, and the prediction precision is improved.
And corresponding data are respectively collected from all relevant data based on the principal component factors to carry out modeling, and a large amount of training data are provided for a subsequent deep learning algorithm in order to expand a data set. In the present embodiment, a data enhancement means is adopted to add samples, wherein the method for acquiring the fourth parameter and the fifth parameter includes step S221, step S222, step S223, step S224, step S225, step S226 and step S227.
Step S221, acquiring a first characteristic parameter, a second characteristic parameter, a third characteristic parameter and a fourth characteristic parameter; the first characteristic parameter is a geometric form parameter of a rock-soil body part in the foundation type side slope; the second characteristic parameter is a geometrical form parameter of a bedrock part in the base-covering type side slope; the third characteristic parameter is the self-defined shear strength parameter of the contact surface; the fourth characteristic parameters are self-defined physical parameters and mechanical parameters.
It is understood that, in this step, the geometric parameters of the rock-soil mass (i.e. the first characteristic parameters) and the geometric parameters of the bedrock portion (i.e. the second characteristic parameters) are obtained based on the in-situ landscaped geological survey data and the satellite remote sensing technology, respectively. The third characteristic parameter and the fourth characteristic parameter are respectively different numerical values of the custom input based on the principal component factors.
And S222, respectively constructing a rock-soil body fitting model and a bedrock fitting model based on the first characteristic parameters and the second characteristic parameters.
It can be understood that, in this step, the rock-soil body fitting model is constructed according to the first characteristic parameters, and the bedrock fitting model is constructed according to the second characteristic parameters. And obtaining rock-soil body fitting models and bedrock fitting models with different shapes by changing the specific numerical value corresponding to each principal component factor so as to enlarge the data set of the models.
And S223, constructing a first base coverage type slope fitting model based on the rock-soil body fitting model, the bedrock fitting model and the third characteristic parameter.
It can be understood that, in this step, different rock-soil body fitting models and bedrock fitting models are combined in the discrete element software 3DEC to give different cohesion value ranges and internal friction angle value ranges between the rock-soil body and the bedrock at the contact surface in the base-cover type slope model, thereby establishing different first base-cover type slope fitting models.
Step S224, based on the first basis-clad side slope fitting model and the fourth characteristic parameter, a fifth characteristic value and a sixth characteristic value are obtained by using a trailing edge fracture surface generated by scribing a basis-clad side slope in discrete element software 3DEC, where the fifth characteristic value is a geometric form parameter of the trailing edge fracture surface, and the sixth characteristic value is the crack width value and the position parameter corresponding to each crack in the trailing edge fracture surface.
It can be understood that, in this step, the intrinsic parameters (i.e., the fourth parameter) of the rock-soil body fitting model at the upper part and the bedrock fitting model at the lower part of the base-covering type slope are given based on the first base-covering type slope fitting model, such as density, water content, gravitational acceleration, elastic modulus, poisson's ratio, normal and tangential stiffness, cohesive force, internal friction angle, and the like. And (4) utilizing the joint carving to carve the trailing edge fracture surface generated by the base-cladding type slope in the discrete element software 3DEC to obtain a fifth characteristic value and a sixth characteristic value. Wherein the geometric parameters (i.e. the fifth characteristic values) for describing the slope trailing edge fracture surface comprise: the position of the starting point of the fracture surface, the starting angle of the generated fracture surface, the length of each straight line of the generated fracture surface, and the angular reduction value of the generated fracture surface. And arranging corresponding monitoring points on the side slope of the first base-covering type side slope fitting model, and arranging displacement sensors at the monitoring points to monitor the slope body position slippage when the fracture surface is continuously expanded, wherein the fracture width value and the position parameter (namely the sixth characteristic value) corresponding to each fracture.
Step S225, forming the fifth parameter based on the corresponding fifth characteristic value and the sixth characteristic value.
It can be understood that, in this step, the fifth eigenvalue and the sixth eigenvalue obtained by the research of the first fundamental slope fitting model at the same time are in one-to-one correspondence to form a fifth parameter.
Step S226, forming the fourth parameter based on the corresponding third characteristic parameter and the fourth characteristic parameter.
It can be understood that, in this step, the third characteristic parameters and the fourth characteristic parameters obtained by the first basis-covering slope fitting model research at the same time are in one-to-one correspondence to form the fourth parameters.
Step S227, a mapping relationship between the fourth parameter and the fifth parameter is constructed, and the fourth parameter and the fifth parameter which correspond to each other are obtained.
It can be understood that, in this step, the fourth parameter and the fifth parameter obtained by the first basis-coverage slope fitting model research at the same time are in one-to-one correspondence, and a mapping relationship is constructed.
And S22, obtaining a fracture set based on the fifth parameter, wherein each fracture in the fracture set corresponds to a fracture width value.
It is understood that, in this step, the crack width value corresponding to each crack is determined according to the sixth eigenvalue in the fifth parameter, and all the crack width values constitute a crack set.
And S23, based on a neural network model, learning and updating each parameter of the neural network model according to a minimum mean square error rule by taking the position parameter in the crack set and the fifth parameter as an input value of the neural network model and taking the fourth parameter as an output value of the neural network model, so as to obtain the trained neural network model.
It can be understood that, in this step, the crack width value, the fourth parameter, and the fifth parameter corresponding to each crack in the crack set are used as a sample, all the sample sets are divided according to a ratio of 4. And then, the verification set is used for prediction, and the prediction accuracy of the neural network model can be improved by dividing the data sample into the training set and the verification set, so that the neural network model has higher prediction capability and better applicability.
And S3, calculating by using an intensity reduction method based on the geometric form parameter and the position parameter of the trailing edge fracture surface, the second parameter and the third parameter, and respectively obtaining the safety coefficient of the trailing edge fracture surface and the total square amount of the potential slip soil.
In the step, a simulation model of the slope to be pre-warned is constructed by using discrete element software 3DEC according to the geometrical form parameter and the position parameter of the trailing edge fracture surface, the second parameter and the third parameter, instability simulation is performed on the simulation model of the slope to be pre-warned by using a strength reduction method, and the safety coefficient of the trailing edge fracture surface and the total amount of potential slip soil are obtained through calculation.
Further, the method for obtaining the total amount of the potential slip soil includes step S31, step S32, step S33, and step S34.
And S31, acquiring three-dimensional geometric form parameters of the rock and soil mass and the bedrock in the area to be early-warned.
And S32, constructing a second base-cover type slope fitting model by using a finite element analysis method based on the three-dimensional geometrical morphological parameters, the first parameter, the second parameter and the third parameter of the rock and soil mass and the bedrock in the area to be early warned.
And S33, determining the three-dimensional form parameters of the potential through sliding surface based on the second base-cover type slope fitting model and the geometric form parameters and the position parameters of the trailing edge fracture surface.
It can be understood that, in this step, the potential through sliding surface is a vertical fracture surface which penetrates through the rock-soil body in the side slope and intersects with the upper surface of the bedrock, and the potential through sliding surface is determined based on the coordinates corresponding to the second base-cover type side slope fitting model by taking the vertical fracture surface as a boundary until the bottom of the side slope.
And S34, calculating based on the three-dimensional morphological parameters of the potential penetrating sliding surface to obtain the total amount of the potential slip soil.
It is understood that, in this step, the volume of the potential through sliding surface is calculated as the total amount of the potential slip earth based on the calculation method of the volume of the three-dimensional model in the three-dimensional modeling.
The method for obtaining the safety factor of the trailing edge fracture surface includes step S35 and step S36.
And S35, acquiring density parameters of the rock and soil mass in the area to be early-warned based on the second parameters.
S36, based on the three-dimensional morphological parameters of the potential through sliding surface, the density parameters of the rock-soil mass in the area to be early-warned, the third parameters and the second base-covering type slope fitting model, performing instability simulation by using a strength reduction method, and when the unbalanced force of the strength reduction algorithm reaches 10 -5 And obtaining the safety factor of the trailing edge fracture surface in the next time.
It will be appreciated that in this step, the second baseline slope fitting model is simulated for instability by intensity subtraction, and the formation of the trailing edge fracture surface is a gradual process when the imbalance force reaches 10 -5 And the second base-covering type slope fitting model reaches secondary balance to form a rear edge fracture surface, and the safety coefficient of the rear edge fracture surface can be obtained at the moment.
And S4, early warning is carried out on the base covering type slope fracture surface based on the safety coefficient and the total amount of the potential slip soil.
It can be understood that in the step, the safety coefficient of the current site foundation type slope and the total amount of potential slip soil are comprehensively analyzed and evaluated, so that early warning and relevant necessary prevention measures are timely performed. Wherein: and the safety coefficient of the base cladding type side slope is specifically expressed by adopting a safety grade system. One of which is a very secure situation; second level is a safe case; the third level is a safer condition, but needs to be judged according to the later development trend of each monitoring data; a certain potential safety hazard exists in the fourth stage, and certain supporting measures need to be taken; level five can be in a relatively dangerous condition; the phenomenon of instability and damage of the six-stage base-covering type side slope can occur, great safety hazards are caused, and relevant treatment measures need to be carried out in time.
In this example, an early warning ranking criteria is provided, as shown in tables 1-3:
TABLE 1 classification of security levels
In Table 1, V represents the total amount of the potential slip soil of the site foundation-covering type slope, and Table 1 shows that the total amount V of the potential slip soil of the slope is more than or equal to 4.0 multiplied by 10 after the trailing edge of the site foundation-covering type slope is broken 6 m 3 The division standard under the condition that the safety coefficient K is more than or equal to 1.2 and is a three-level safety level, and K is more than or equal to 1.1<1.2 is the level four security level, and so on.
TABLE 2 Security level Classification
In table 2, V represents the total amount of the potential slip soil of the site-based and covered slope, and table 2 represents that the total amount of the potential slip soil of the slope after the trailing edge fracture of the site-based and covered slope occurs is 1.0 × 10 6 m 3 ≤V≤4.0×10 6 m 3 The division standard under the condition that the safety coefficient K is more than or equal to 1.2 and is a secondary safety level, and K is more than or equal to 1.1<1.2 is the third level of security, and so on.
TABLE 3 Classification of Security levels
In table 3, V represents the total amount of the potential slip soil of the site-based covered slope, and table 3 represents that the total amount of the potential slip soil of the slope after the trailing edge fracture of the site-based covered slope occurs is 1.0 × 10 6 m 3 The division standard is larger than or equal to V, namely, in the case, the safety coefficient K is larger than or equal to 1.2 and is a first-level safety grade, and K is larger than or equal to 1.1 and is smaller than or equal to K<And 1.2 is the secondary security level, and so on.
Example 2:
as shown in fig. 2, the embodiment provides a device for early warning of a fracture surface of a base-cover type slope, which includes a device for early warning of a fracture surface of a base-cover type slope, including an obtaining module 710, a first calculating module 720, a second calculating module 730, and an early warning module 740, wherein:
the obtaining module 710: the parameter acquisition module is used for acquiring a first parameter, a second parameter and a third parameter; the first parameter is a three-dimensional position parameter of a slope crack in the area to be early warned; the second parameters are physical parameters and mechanical parameters of the slope rock-soil body in the area to be pre-warned; the third parameter comprises the shearing strength parameter of a contact surface in the area to be pre-warned, and the contact surface is an interface of bedrock and rock-soil body of the side slope.
The first calculation module 720: and the device is used for inputting the first parameter, the second parameter and the third parameter into the trained neural network model based on the trained neural network model to obtain the geometric form parameter and the position parameter of the trailing edge fracture surface.
Preferably, the first calculation module 720 comprises a first obtaining unit 721, a first processing unit 722 and a training unit 723, wherein:
the first acquisition unit 721: the method comprises the steps of obtaining a fourth parameter and a fifth parameter which correspond to each other, wherein the fourth parameter is a physical parameter and a mechanical parameter of the side slope in the actual engineering of the base-cover type side slope; and the fifth parameter is a geometrical form parameter and a position parameter of a slope crack in the actual engineering of the base-cover type slope.
The first processing unit 722: and obtaining a fracture set based on the fifth parameter, wherein each fracture in the fracture set corresponds to a fracture width value.
Further, the first processing unit 722 comprises a second acquisition unit 7221, a first building unit 7222, a second building unit 7223, a simulation unit 7224, a second processing unit 7225, a third processing unit 7226 and a fourth processing unit 7227, wherein:
second acquisition unit 7221: the device is used for acquiring a first characteristic parameter, a second characteristic parameter, a third characteristic parameter and a fourth characteristic parameter; the first characteristic parameter is a geometric form parameter of a rock-soil body part in the foundation type side slope; the second characteristic parameter is a geometrical form parameter of a bedrock part in the base-covering type side slope; the third characteristic parameter is the self-defined shear strength parameter of the contact surface; the fourth characteristic parameters are self-defined physical parameters and mechanical parameters.
Preferably, the second obtaining unit 7221 includes a third obtaining unit 72211, a screening unit 72212, an analyzing unit 72213, a summarizing unit 72214, and a fifth processing unit 72215, wherein:
third acquisition unit 72211: the method is used for acquiring geological exploration data of trailing edge fracture surface phenomena generated by the base-cover type side slope in at least ten actual projects.
Screening unit 72212: and the method is used for determining target parameters based on the geological exploration data, wherein the target parameters are specific positions and forms of the trailing edge fracture surface generated by the base-cover type slope in the actual engineering.
The analysis unit 72213: and determining the composition structure of the base-cover type slope in the actual engineering based on the geological exploration data.
Induction unit 72214: and the method is used for summarizing and summarizing by utilizing an analytical method based on the target parameters and the composition structure of the base-cover type slope in the actual engineering to obtain the depicting factors and the weight values of the depicting factors.
The fifth processing unit 72215: and the method is used for obtaining the principal component factors based on the depicting factors, the weight values and a preset threshold value.
First construction unit 7222: and the rock-soil body fitting model and the bedrock fitting model are respectively constructed on the basis of the first characteristic parameters and the second characteristic parameters.
Second construction unit 7223: and the first base-coverage type slope fitting model is constructed based on the rock-soil body fitting model, the bedrock fitting model and the third characteristic parameter.
Simulation unit 7224: and the trailing edge fracture surface generating module is used for utilizing a joint to carve the trailing edge fracture surface generated by the base-cover type slope in a discrete element software 3DEC based on the first base-cover type slope fitting model and the fourth characteristic parameter to obtain a fifth characteristic value and a sixth characteristic value, wherein the fifth characteristic value is a geometric form parameter of the trailing edge fracture surface, and the sixth characteristic value is the crack width value and the position parameter corresponding to each crack in the trailing edge fracture surface.
Second processing unit 7225: for constructing the fifth parameter based on the corresponding fifth and sixth characteristic values.
Third processing unit 7226: for constructing the fourth parameter based on the corresponding third and fourth characteristic parameters.
Fourth processing unit 7227: and the mapping relation between the fourth parameter and the fifth parameter is constructed to obtain the fourth parameter and the fifth parameter which are corresponding to each other.
The training unit 723: and the position parameter in the crack set and the fifth parameter is used as an input value of the neural network model based on the neural network model, the fourth parameter is used as an output value of the neural network model, and the parameters of the neural network model are learned and updated according to the minimum mean square error rule to obtain the trained neural network model.
The second calculation module 730: and calculating by using an intensity reduction method based on the geometric form parameter and the position parameter of the trailing edge fracture surface, the second parameter and the third parameter to respectively obtain the safety coefficient of the trailing edge fracture surface and the total square amount of the potential slip soil.
The early warning module 740: and the early warning is carried out on the fracture surface of the base-cover type side slope based on the safety coefficient and the total amount of the potential slip soil.
It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.
Example 3:
corresponding to the above method embodiment, this embodiment also provides a device 800 for early warning of a fracture surface of a base-cover type slope, and the device 800 for early warning of a fracture surface of a base-cover type slope described below and the method for early warning of a fracture surface of a base-cover type slope described above can be referred to correspondingly.
Fig. 3 is a block diagram illustrating a base-cover slope fracture surface warning device 800 according to an exemplary embodiment. As shown in fig. 3, the apparatus 800 for base-cover type slope fracture surface early warning may include: a processor 801, a memory 802. The apparatus 800 for base-cover slope fracture surface warning may further comprise one or more of a multimedia component 803, an i/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the apparatus 800 for early warning a fracture surface of a base-cover type slope, so as to complete all or part of the steps in the method for early warning a fracture surface of a base-cover type slope. Memory 802 is used to store various types of data to support the operation of the base slope fracture surface warning device 800, which may include, for example, instructions for any application or method operating on the base slope fracture surface warning device 800, as well as application-related data such as contact data, messaging, pictures, audio, video, and the like. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the device 800 for base-cover slope fracture surface early warning and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (NFC for short), 2G, 3G or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the apparatus 800 for base slope fracture surface warning may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, for performing the above-described method for base slope fracture surface warning.
In another exemplary embodiment, a computer storage medium is also provided that includes program instructions that, when executed by a processor, implement the steps of the method of base and cover slope fracture surface warning described above. For example, the computer storage medium may be the memory 802 described above including program instructions executable by the processor 801 of the apparatus 800 for base cladding slope fracture surface forewarning to perform the method described above.
Example 4:
corresponding to the above method embodiments, the present embodiment further provides a storage medium, and the storage medium described below and the method for early warning of fracture surface of base-cover slope described above may be referred to correspondingly.
And a storage medium, wherein the storage medium stores a computer program, and the computer program is executed by a processor to realize the steps of the method for early warning of the fracture surface of the base-cover type slope in the embodiment of the method.
The storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other storage media capable of storing program codes.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of changes or substitutions within the technical scope of the present invention, and all such changes or substitutions are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A method for early warning of a base-cover type slope fracture surface is characterized by comprising the following steps:
acquiring a first parameter, a second parameter and a third parameter; the first parameter is a three-dimensional position parameter of a slope crack in an area to be pre-warned; the second parameters are physical parameters and mechanical parameters of the slope rock-soil body in the area to be pre-warned; the third parameter comprises a shear strength parameter of a contact surface in the area to be pre-warned, wherein the contact surface is an interface of bedrock and rock-soil mass of a slope;
inputting the first parameter, the second parameter and the third parameter into the trained neural network model based on the trained neural network model to obtain the geometric form parameter and the position parameter of the trailing edge fracture surface;
calculating by using an intensity reduction method based on the geometrical form parameter and the position parameter of the trailing edge fracture surface, the second parameter and the third parameter to respectively obtain a safety factor of the trailing edge fracture surface and a total amount of potential slip soil;
and early warning is carried out on the fracture surface of the base-covering type slope based on the safety factor and the total amount of the potential slip soil.
2. The method for early warning of fracture surfaces of base-cover type side slopes according to claim 1, wherein the training method of the neural network model comprises the following steps:
acquiring a fourth parameter and a fifth parameter which correspond to each other, wherein the fourth parameter is a physical parameter and a mechanical parameter of a side slope in an actual engineering of a base-cover type side slope; the fifth parameter is a geometric form parameter and a position parameter of a slope crack in the actual engineering of the base-cover type slope;
obtaining a fracture set based on the fifth parameter, wherein each fracture in the fracture set corresponds to a fracture width value;
based on a neural network model, the position parameters in the crack set and the fifth parameter are used as input values of the neural network model, the fourth parameter is used as an output value of the neural network model, learning is carried out according to a minimum mean square error rule, and each parameter of the neural network model is updated, so that the trained neural network model is obtained.
3. The method for early warning of fracture surfaces of base-cover type side slopes according to claim 2, wherein the method for obtaining the fourth parameter and the fifth parameter comprises:
acquiring a first characteristic parameter, a second characteristic parameter, a third characteristic parameter and a fourth characteristic parameter; the first characteristic parameter is a geometric form parameter of a rock-soil body part in the foundation type side slope; the second characteristic parameter is a geometrical form parameter of a bedrock part in the base-covering type side slope; the third characteristic parameter is the self-defined shear strength parameter of the contact surface; the fourth characteristic parameters are self-defined physical parameters and mechanical parameters;
respectively constructing a rock-soil body fitting model and a bedrock fitting model based on the first characteristic parameters and the second characteristic parameters;
constructing a first base coverage type slope fitting model based on the rock-soil body fitting model, the bedrock fitting model and the third characteristic parameter;
based on the first base-cover type slope fitting model and the fourth characteristic parameter, a trailing edge fracture surface generated by a base-cover type slope is carved in discrete element software 3DEC by using joints to obtain a fifth characteristic value and a sixth characteristic value, wherein the fifth characteristic value is a geometric form parameter of the trailing edge fracture surface, and the sixth characteristic value is a crack width value and a position parameter corresponding to each crack in the trailing edge fracture surface;
constructing the fifth parameter based on the corresponding fifth and sixth feature values;
forming the fourth parameter based on the corresponding third and fourth characteristic parameters;
and constructing a mapping relation between the fourth parameter and the fifth parameter to obtain the fourth parameter and the fifth parameter which are mutually corresponding.
4. The method for early warning of fracture surface of base-cover type slope according to claim 3, wherein the method for selecting the main component factor in the fourth parameter comprises:
acquiring geological exploration data of a trailing edge fracture surface phenomenon generated by a base-cover type slope in at least ten actual projects;
determining target parameters based on the geological exploration data, wherein the target parameters are specific positions and forms of the trailing edge fracture surface generated by the base-cover type slope in the actual engineering;
determining a composition structure of the base-cover type slope in the actual engineering based on the geological exploration data;
based on the target parameters and the composition structure of the base-cover type slope in the actual engineering, inducing and summarizing by using an analytical method to obtain depicting factors and weight values of the depicting factors;
and obtaining a principal component factor based on the depicting factor, the weight value and a preset threshold value.
5. Base covers type side slope fracture surface early warning's device, its characterized in that includes:
an acquisition module: the parameter acquisition module is used for acquiring a first parameter, a second parameter and a third parameter; the first parameter is a three-dimensional position parameter of a slope crack in an area to be pre-warned; the second parameters are physical parameters and mechanical parameters of the slope rock-soil body in the area to be pre-warned; the third parameter comprises a shear strength parameter of a contact surface in the area to be pre-warned, wherein the contact surface is an interface of bedrock and rock-soil mass of a slope;
a first calculation module: the device is used for inputting the first parameter, the second parameter and the third parameter into the trained neural network model based on the trained neural network model to obtain the geometric form parameter and the position parameter of the trailing edge fracture surface;
a second calculation module: the device is used for respectively obtaining the safety factor of the trailing edge fracture surface and the total amount of potential slip soil by utilizing intensity reduction calculation based on the geometric form parameter and the position parameter of the trailing edge fracture surface, the second parameter and the third parameter;
the early warning module: and the early warning is carried out on the fracture surface of the base-cover type side slope based on the safety coefficient and the total amount of the potential slip soil.
6. The apparatus for early warning of fracture surface of base-cover type slope according to claim 5, wherein the first calculating module comprises:
a first acquisition unit: the method comprises the steps of obtaining a fourth parameter and a fifth parameter which correspond to each other, wherein the fourth parameter is a physical parameter and a mechanical parameter of the side slope in the actual engineering of the base-cover type side slope; the fifth parameter is a geometrical form parameter and a position parameter of a slope crack in the actual engineering of the base-cover type slope;
a first processing unit: obtaining a fracture set based on the fifth parameter, wherein each fracture in the fracture set corresponds to a fracture width value;
a training unit: and the position parameter in the crack set and the fifth parameter is used as an input value of the neural network model based on the neural network model, the fourth parameter is used as an output value of the neural network model, and the position parameter is learned and updated according to a minimum mean square error rule to obtain the trained neural network model.
7. The apparatus for early warning of fractured surfaces of base and cover type side slopes according to claim 6, wherein the first processing unit comprises:
a second acquisition unit: the device is used for acquiring a first characteristic parameter, a second characteristic parameter, a third characteristic parameter and a fourth characteristic parameter; the first characteristic parameter is a geometric form parameter of a rock-soil body part in the foundation type side slope; the second characteristic parameter is a geometrical form parameter of a bedrock part in the base-covering type side slope; the third characteristic parameter is the self-defined shear strength parameter of the contact surface; the fourth characteristic parameters are self-defined physical parameters and mechanical parameters;
a first building unit: the rock-soil body fitting model and the bedrock fitting model are respectively constructed on the basis of the first characteristic parameters and the second characteristic parameters;
a second building element: the first base-coverage type slope fitting model is constructed based on the rock-soil body fitting model, the bedrock fitting model and the third characteristic parameter;
an analog unit: the method is used for utilizing joints to carve a trailing edge fracture surface generated by the base-cover type slope in discrete element software 3DEC based on the first base-cover type slope fitting model and the fourth characteristic parameter to obtain a fifth characteristic value and a sixth characteristic value, wherein the fifth characteristic value is a geometric form parameter of the trailing edge fracture surface, and the sixth characteristic value is a crack width value and a position parameter corresponding to each crack in the trailing edge fracture surface;
a second processing unit: for constructing the fifth parameter based on the corresponding fifth and sixth characteristic values;
a third processing unit: the fourth parameter is formed based on the corresponding third characteristic parameter and the fourth characteristic parameter;
a fourth processing unit: the mapping relation between the fourth parameter and the fifth parameter is constructed, and the fourth parameter and the fifth parameter which are corresponding to each other are obtained.
8. The apparatus for early warning of fractured surfaces of base and cover type slopes according to claim 7, wherein said second obtaining unit comprises:
a third acquisition unit: the method comprises the following steps of obtaining geological exploration data of a trailing edge fracture surface phenomenon generated by a base-cover type slope in at least ten actual projects;
screening unit: the geological exploration data are used for determining target parameters, and the target parameters are specific positions and forms of trailing edge fracture surfaces generated by the base-cover type slope in the actual engineering;
an analysis unit: the geological exploration data is used for determining the composition structure of the foundation type slope in the actual engineering;
a generalization unit: the method is used for summarizing and summarizing by utilizing an analytical method based on the target parameters and the composition structure of the base-cover type slope in the actual engineering to obtain the depicting factors and the weight values of the depicting factors;
a fifth processing unit: and the method is used for obtaining the principal component factors based on the depicting factors, the weight values and a preset threshold value.
9. Base cover type slope fracture surface early warning's equipment, its characterized in that includes:
a memory for storing a computer program;
a processor for implementing the steps of the method of base and cover slope fracture surface warning as claimed in any one of claims 1 to 4 when executing the computer program.
10. A readable storage medium, characterized in that: the readable storage medium has stored thereon a computer program which, when executed by a processor, carries out the steps of the method of base and cover slope fracture surface warning according to any one of claims 1 to 4.
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