Early warning method and system for slope construction

Abstract

The present application relates to the field of early warning analysis, and specifically to an early warning method and system for slope construction, wherein a first monitoring device is set at a monitoring point of an unconstructed original slope, and a second monitoring device is set at a monitoring point of a constructed slope, and a first monitoring data set monitored by the first monitoring device and a second monitoring data set monitored by the second monitoring device are obtained respectively, and a first local stability degree of the first monitoring data set and a second local stability degree of the second monitoring data set are obtained; the overall early warning value of the slope under construction is obtained according to the first local stability degree and the second local stability degree. By simultaneously monitoring the stability of the constructed area and the unconstructed area of ​​the slope, a comprehensive analysis is performed to obtain the overall stability of the current slope, and the early warning monitoring of the slope is more accurate. Moreover, the first monitoring device and the second monitoring device can reduce the problems of large errors and low monitoring frequency in manual monitoring operations, and facilitate timely feedback on the stability of the slope under construction.

Description

Technical Field

[0001] The present application relates to the field of early warning analysis technology, and in particular to an early warning method and system for slope construction. Background Art

[0002] Accidents such as collapse and landslides during the construction process will cause economic losses and casualties. There are many factors that affect the occurrence of accidents, including natural factors and human factors. Human factors such as excavation, blasting, mechanical vibration and other activities during the construction process may destroy the stability of the slope; or there are no corresponding protective measures after the excavation of the slope, resulting in the slope being exposed to the air and being affected by natural factors for a long time and over a large area, causing physical changes in the slope and instability and collapse. Natural factors such as extreme weather events during construction, such as drought and heavy rain, will affect the stability of the slope; or the direct impact of geological conditions such as the soil structure, rock properties, and weathering degree of the slope on the stability of the slope; or the loss of balance of the soil after excavation, causing sliding and overturning; such as changes in surface water and groundwater, reducing the shear strength of the slope and increasing the risk of slope instability. In addition, monitoring the slope during the construction process and timely understanding the working status of the slope during the construction period can reduce unnecessary losses and ensure the safety of the project during the construction period.

[0003] In the traditional way, monitoring sensors are usually installed on the slope according to the location of the monitoring point during and after construction, so that the overall stability of the slope can be effectively analyzed and judged after the construction is completed. In the process of slope construction, manual monitoring and analysis are more often used to warn the stability of the slope during construction. However, on the one hand, the use of manual monitoring operations has problems such as large errors and low monitoring frequency, which will lead to delayed warnings of slope disasters; on the other hand, the ability to analyze and warn after manual monitoring is limited, and it is easy to make judgment errors, affecting the accuracy of warning feedback, and posing certain safety hazards. Summary of the invention

[0004] Based on this, it is necessary to provide an early warning method and system for slope construction that can improve the accuracy and timeliness of early warning monitoring during slope construction in order to address the above problems.

[0005] An early warning method for slope construction, the early warning method comprising:

[0006] Obtain the topography of the slope to be constructed and determine the preset installation location of the slope monitoring point based on historical similar topography information;

[0007] Setting a first monitoring device at a preset installation position of a monitoring point of an original slope that has not been constructed, and obtaining a first monitoring data set monitored by the first monitoring device;

[0008] Setting a second monitoring device at a preset installation position of a monitoring point of a slope where construction has been completed, and obtaining a second monitoring data set monitored by the second monitoring device;

[0009] Comparing the first monitoring data set with a first local stability threshold to obtain a first local stability level, and comparing the second monitoring data set with a second local stability threshold to obtain a second local stability level;

[0010] An overall warning value of the slope under construction is obtained according to the first local stability degree and the second local stability degree.

[0011] In one embodiment, the step of comparing the first monitoring data set with a first local stability threshold to obtain a first local stability level includes:

[0012] Calculate the covariance between any two monitoring data in the first monitoring data set, and bring the covariance into the first covariance matrix; compare each element in the first covariance matrix with the first local stability threshold to obtain the first local stability degree of each element;

[0013] The step of comparing the second monitoring data set with the second local stability threshold to obtain a second local stability level includes:

[0014] The covariance between any two monitoring data in the second monitoring data set is calculated, and the covariance is brought into the second covariance matrix; each element in the second covariance matrix is ​​compared with the second local stability threshold to obtain the second local stability degree of each element.

[0015] In one embodiment, obtaining the overall warning value of the slope under construction according to the first local stability degree and the second local stability degree includes:

[0016] According to the construction progress of the slope, the first local stability level R i And the second local stability level R j Setting different weights, the overall warning value of the slope R t for:

[0017]

[0018] Where: i is the weight of the i-th element in the first covariance matrix; ω j is the weight of the j-th element in the second covariance matrix.

[0019] In one embodiment, the first local stability level R i The weight ω i satisfy:

[0020] ω i=ω0·(1-f(P))·β·I i ,

[0021] The second local stability level R j The weight ω j satisfy:

[0022] ω j =ω0·f(P)·β·I j ,

[0023] Where: ω0 is the benchmark weight; f(P) represents the construction progress impact function; I i represents the importance factor of the i-th element in the first covariance matrix, I j represents the importance factor of the j-th element in the second covariance matrix, and β is the adjustment coefficient of the importance.

[0024] In one embodiment, the construction progress impact function f(P) is:

[0025]

[0026] Among them, P is the current construction progress; P0 is an offset, which is the midpoint of the construction progress; k is the adjustment coefficient.

[0027] In one embodiment, the step of comparing the first monitoring data set with a first local stability threshold to obtain a first local stability level, and comparing the second monitoring data set with a second local stability threshold to obtain a second local stability level, further comprises:

[0028] Performing filtering processing on the first monitoring data set and the second monitoring data set respectively;

[0029] The covariance between any two monitoring data in the first monitoring data set is calculated, and the covariance is brought into the first covariance matrix, and then the following steps are further included:

[0030] According to the first local stability degree of the i-th element, analyzing the correlation change trend of the i-th element from the first covariance matrix, comparing the correlation change trend with the local warning preset value, and obtaining a first local warning value;

[0031] The covariance between any two monitoring data in the second monitoring data set is calculated, and the covariance is brought into the second covariance matrix, and then the following steps are further included:

[0032] According to the second local stability degree of the j-th element, the correlation change trend of the j-th element is analyzed from the second covariance matrix, and the correlation change trend is compared with the local warning preset value to obtain the second local warning value.

[0033] In one embodiment, the method further comprises:

[0034] If the overall warning value of the slope R t , the first local warning value and the second local warning value, as long as one of them is greater than the danger threshold, a safety alarm is issued.

[0035] An early warning system for slope construction, the early warning system comprising:

[0036] A monitoring point determination module, which is used to obtain the topography of the slope to be constructed and determine the preset installation position of the slope monitoring point based on historical similar topography information;

[0037] A first acquisition module, the first acquisition module is used to set a first monitoring device at a preset installation position of a monitoring point of an original slope that has not been constructed, and acquire a first monitoring data set monitored by the first monitoring device;

[0038] A second acquisition module, the second acquisition module is used to set a second monitoring device at a preset installation position of a monitoring point of a slope that has been constructed, and obtain a second monitoring data set monitored by the second monitoring device;

[0039] A stability evaluation module, the stability evaluation module is used to compare the first monitoring data set with a first local stability threshold to obtain a first local stability, and compare the second monitoring data set with a second local stability threshold to obtain a second local stability;

[0040] An early warning value evaluation module is used to obtain an overall early warning value of the slope under construction according to the first local stability level and the second local stability level.

[0041] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0042] A computer-readable storage medium stores a computer program, which implements the steps of the method described above when executed by a processor.

[0043] The above-mentioned early warning method and system for slope construction determines the preset installation position of the slope monitoring point according to the topography of the slope to be constructed and the historical similar topography information. During the construction process, the slope is processed step by step from top to bottom. First, the first monitoring device is set at the preset installation position of the monitoring point of the original slope that has not been constructed, and the second monitoring device is set at the preset installation position of the monitoring point of the slope that has been constructed. The first monitoring data set monitored by the first monitoring device and the second monitoring data set monitored by the second monitoring device are obtained respectively, and the first monitoring data set is compared with the first local stability threshold to obtain the first local stability degree, and the second monitoring data set is compared with the second local stability threshold to obtain the second local stability degree; the overall early warning value of the slope under construction is obtained according to the first local stability degree and the second local stability degree. In the above-mentioned early warning method, the stability of the slope that has been constructed and the unconstructed area is simultaneously monitored, and then the overall stability of the current slope is obtained through comprehensive analysis, so that the early warning monitoring of the slope is more accurate. The above-mentioned early warning method can reduce the errors and manpower usage in the traditional manual detection process. Through the first monitoring device and the second monitoring device, data can be collected in real time in harsh working environments, reducing the problems of large errors and low monitoring frequency in manual monitoring operations, and facilitating timely feedback on the stability of the slope during construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application.

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] In addition, the drawings are not drawn to a 1:1 scale, and the relative sizes of the various elements are drawn only as examples in the drawings and are not necessarily drawn according to the true scale.

[0047] Figure 1 The figure is a flow chart of an early warning method for slope construction in one embodiment.

[0048] Figure 2 The figure is a layout diagram of monitoring points of a slope in one embodiment.

[0049] Figure 3 It is a construction planning diagram of a slope in one embodiment.

[0050] Figure 4 It is a structural block diagram of an early warning system for slope construction in one embodiment.

[0051] Figure 5 FIG. 4 is a structural block diagram of a computer device in one embodiment. DETAILED DESCRIPTION

[0052] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below in conjunction with the accompanying drawings. In the following description, many specific details are set forth to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without violating the connotation of the present application, so the present application is not limited by the specific embodiments disclosed below.

[0053] See also Figure 1 The early warning method for slope construction in one embodiment of the present application can at least improve the accuracy and timeliness of monitoring the stability of the slope during construction and reduce construction risks. Specifically, the early warning method for slope construction includes:

[0054] Step S1: Obtain the topography of the slope to be constructed and determine the preset installation location of the slope monitoring point based on historical similar topography information.

[0055] Specifically, before construction, the geomorphic characteristics of the slope can be obtained through on-site surveys, and slopes with the same or similar geomorphic characteristics as the slope can be found based on the acquired geomorphic characteristic information. The preset installation positions of the monitoring points of the slope to be constructed can be set according to the monitoring conditions of slopes with similar historical geomorphic features. In another embodiment, if there are no cases of similar historical geomorphic features, the monitoring points are set based on the actual terrain calculations of the slopes surveyed on-site. For example, the geomorphology of the slope to be constructed may include information that affects the slope characteristics, such as the topography of the slope, stratum lithology and structural characteristics of the rock and soil mass, and the distribution of faults, fissures and weak layers. Slope monitoring points can be set at locations where the slope structure is fragile. In actual settings, the specific layout positions of each monitoring point are adjusted as appropriate based on the on-site conditions. For example Figure 2 As shown, the present application provides a distribution diagram of the arrangement of slope monitoring points, wherein the dark grey solid dots are the locations of the slope monitoring points.

[0056] Step S2: a first monitoring device is installed at a preset installation position of a monitoring point of an original slope that has not been constructed, and a first monitoring data set monitored by the first monitoring device is obtained.

[0057] Specifically, the first monitoring device provided at the preset installation position of the monitoring point of the original slope that has not been constructed includes a horizontal displacement sensor, a vertical displacement sensor and / or a crack sensor. Specifically, the data monitored by the first monitoring device may include horizontal displacement data, vertical displacement data and crack data. In other embodiments, other types of monitoring sensors such as deep displacement sensors may also be installed at the preset installation position of the monitoring point of the original slope that has not been constructed to improve monitoring reliability.

[0058] Step S3: installing a second monitoring device at a preset installation position of a monitoring point of the slope where construction has been completed, and obtaining a second monitoring data set monitored by the second monitoring device.

[0059] In one embodiment, the second monitoring device set at the preset installation position of the monitoring point of the completed slope includes a horizontal displacement sensor, a vertical displacement sensor, a crack sensor, a deep displacement sensor (inclinometer), an anchor cable prestress and an anchor head displacement monitor. The anchor head displacement monitor and the horizontal displacement sensor can be implemented using the same monitoring method or through the same monitoring device. In this embodiment, the data monitored by the first monitoring device can include horizontal displacement data, vertical displacement data, crack data, deep displacement data, anchor cable prestress data and anchor head displacement data, so as to achieve more comprehensive monitoring of the completed slope.

[0060] In one embodiment, the early warning method for slope construction further includes:

[0061] Step S4: Filter the first monitoring data set and the second monitoring data set respectively. Since the early warning method is applied in slope construction, during the monitoring process of slope construction, the sensors of the first monitoring device and the second monitoring device will inevitably detect the existing construction noise, construction machinery vibration and complex environmental noise, etc., so it is necessary to filter the sensor data to reduce the impact of interference.

[0062] Specifically, filtering the first monitoring data set and the second monitoring data set respectively includes:

[0063] (1) Find the coefficient of variation

[0064] (2) Calculate the optimal estimate

[0065] (3) Update parameters

[0066] (4) Output the optimal value after filtering

[0067] (5) Repeat steps (1) to (3) for each data in the first monitoring data set and the second monitoring data set and the newly collected data, and output the optimal value of each data after filtering;

[0068] Among them, K t is the coefficient of variation; is the estimation error of the t-1th data; is the estimation error of the tth data; is the measurement error of the tth data; is the optimal estimate of the tth data; is the optimal estimate of the t-1th data.

[0069] In this embodiment, by calculating the difference between two adjacent moments, the signal noise in this time period is estimated, and the signal noise is continuously updated. By filtering the original data, the filtered data is close to the theoretical value, and the monitoring data obtained after filtering can more truly reflect the current state of the slope, thereby realizing more accurate monitoring of the slope.

[0070] Step S5: Compare the first monitoring data set with the first local stability threshold to obtain a first local stability level, and compare the second monitoring data set with the second local stability threshold to obtain a second local stability level.

[0071] Specifically, step S51: calculate the covariance between any two monitoring data in the first monitoring data set, and bring the covariance into the first covariance matrix.

[0072] Step S52: Calculate the covariance between any two monitoring data in the second monitoring data set, and bring the covariance into the second covariance matrix.

[0073] Furthermore, each monitoring data in the first monitoring data set and the expectation of each monitoring data in the first monitoring data set are first calculated. For example, the horizontal displacement data is X{X1, X2, ..., X n}, vertical displacement data is Z{Z1, Z2, ..., Z n}, crack data is D{D1, D2, ..., D n}, deep displacement data is θ{θ1, θ2, …, θ n}, anchor cable prestressing data is R{R1, R2, …, R n}, taking the horizontal displacement data X as an example:

[0074] First, find the expectation of the horizontal displacement data X: in, is the tth data. Similarly, find

[0075] Calculate the covariance between any two monitoring data, for example and Covariance between: Cov Similarly, find Cov Cov Then, the covariance of the first monitoring data is brought into the first covariance matrix; and the covariance of the second monitoring data is brought into the second covariance matrix.

[0076] Step S53: Compare each element in the first covariance matrix with the first local stability threshold to obtain the first local stability degree of each element. By analyzing the first local stability degree of each element, the local characteristic stability degree can be obtained according to the local parameters of the unconstructed original slope, so as to judge the stability of the local characteristics of the unconstructed original slope.

[0077] Furthermore, the step S53 includes:

[0078] Step S531: According to the first local stability of the ith element, the correlation change trend of the ith element is analyzed from the first covariance matrix, and the correlation change trend is compared with the local warning preset value to obtain the first local warning value. The first local stability corresponds to the evaluation of a single element in the first covariance matrix. By analyzing the correlation change trend of the local element corresponding to the first local stability and the element associated therewith in the first covariance matrix, comparing the correlation change trend with the local warning preset value, and comprehensively evaluating the element, a more accurate first local warning value is obtained, which is convenient for subsequent warning analysis and alarm.

[0079] Step S54: Compare each element in the second covariance matrix with the second local stability threshold to obtain the second local stability of each element. By analyzing the second local stability of each element, the local characteristic stability can be obtained according to the local parameters of the constructed slope, so as to judge the stability of the local characteristics of the constructed slope.

[0080] Furthermore, the step S541 further includes:

[0081] According to the second local stability of the jth element, the correlation change trend of the jth element is analyzed from the second covariance matrix, and the correlation change trend is compared with the local warning preset value to obtain the second local warning value. The second local stability corresponds to the evaluation of a single element in the second covariance matrix. By analyzing the correlation change trend of the local element corresponding to the second local stability and the elements associated therewith in the second covariance matrix, comparing the correlation change trend with the local warning preset value, and comprehensively evaluating the element, a more accurate second local warning value is obtained, which is convenient for subsequent warning analysis and alarm.

[0082] Step S6: Obtain the overall warning value of the slope under construction according to the first local stability and the second local stability. By comprehensively analyzing the stability of the original slope before construction and the stability of the completed slope, the overall stability of the current construction slope can be more accurately determined, thereby improving the reliability of the slope warning analysis.

[0083] Specifically, step S6 includes:

[0084] Step S61: According to the construction progress of the slope, the first local stability level R i And the second local stability level R j Set different weights;

[0085] The first local stability level R i The weight ω i Satisfaction: i =ω0·(1-f(P))·β·I i ,

[0086] The second local stability level R j The weight ω j Satisfaction: j =ω0·f(P)·β·I j ,

[0087] Where: ω0 is the benchmark weight; f(P) represents the construction progress impact function; I i represents the importance factor of the i-th element in the first covariance matrix, I j represents the importance factor of the j-th element in the second covariance matrix, and β is the adjustment coefficient of the importance.

[0088] In this embodiment, the construction progress impact function f(P) is: Among them, P is the current construction progress; P0 is an offset, which is the midpoint of the construction progress; k is the adjustment coefficient.

[0089] See also Figure 3 In this embodiment, the slope construction adopts horizontal step layered excavation, specifically adopting the construction method of "horizontal layering, vertical segmentation, step excavation", and protection is carried out as the excavation progresses, that is, from top to bottom, one level of excavation and one level of protection and reinforcement. Figure 3 As shown in the figure, the dotted line indicates the excavation level. As the construction progresses, the range of the slope that has been completed increases, and the area monitored by the second monitoring device increases. At the same time, the range of the original slope that has not been constructed decreases, and the area monitored by the second monitoring device decreases, so that the first local stability level R i The weight ω i and the second local stability level R j The weight ωj Changes with construction progress.

[0090] Step S62: According to the construction progress of the slope, the first local stability level R i And the second local stability level R j Setting different weights, the overall warning value of the slope R t for:

[0091]

[0092] Where: i is the weight of the i-th element in the first covariance matrix; ω j is the weight of the j-th element in the second covariance matrix.

[0093] In this embodiment, due to the first local stability level R i The weight ω i and the second local stability level R j The weight ω j Follow the construction progress to ensure the overall warning value R of the slope t The accuracy of the second local stability R increases with the increase in the range of the slope that has been constructed. j The weight ω j , while the range of the original slope without construction is reduced, the first local stability level R is correspondingly reduced i The weight ω i , to ensure the overall warning value of the slope R t reliability.

[0094] Step S63: If the slope overall warning value R t , the first local warning value and the second local warning value, as long as one of them is greater than the danger threshold, a safety alarm is issued.

[0095] In this embodiment, even if the risk level indicated by the first local warning value or the second local warning value is not high, if multiple such risks are accumulated, the final slope overall warning value R t If the local warning value is greater than the danger threshold, then the overall risk level of the slope is high and a safety alarm is required. If the local warning value is greater than the danger threshold, then it proves that the local characteristic risk is high. t If it is greater than the danger threshold, a safety alarm is also required. t The three warning value evaluations, namely, the first local warning value and the second local warning value, can give warnings from three aspects respectively, thereby improving the safety level of slope monitoring and being able to more comprehensively reflect the comprehensive stability of the slope under current construction.

[0096] In this embodiment, the warning level can be divided into level 1, level 2, level 3 and level 4 according to the degree of danger, for example, marked with red, orange, yellow and blue respectively. See the table below for details:

[0097] Deformation stage Constant speed deformation stage Initial acceleration stage Mid-acceleration stage Pre-slip stage Warning level Attention Level Warning level Alert Level Alert Level Alert form blue yellow orange color red

[0098] Then the overall warning value of the slope R t , the first local warning value and the second local warning value can be compared with the warning level in the above table to issue a safety alarm.

[0099] In one embodiment, during the slope construction, the geological conditions should be checked before construction, loose floating stones on the slope surface should be removed, and cavities, grooves and gaps should be filled with mortared stone or concrete. After the slope is trimmed, it should be flat and dense, without sliding bodies, creeping bodies and loose rock masses. During the construction process, horizontal step layered excavation is adopted, and the specific construction method is "horizontal layering, vertical segmentation, step excavation", and protection is carried out as the excavation progresses. One level of excavation and one level of protection and reinforcement.

[0100] The above-mentioned early warning method for slope construction determines the preset installation position of the slope monitoring point according to the topography of the slope to be constructed and the historical similar topography information. During the construction process, the slope is processed step by step from top to bottom. First, the first monitoring device is set at the preset installation position of the monitoring point of the original slope that has not been constructed, and the second monitoring device is set at the preset installation position of the monitoring point of the slope that has been constructed. The first monitoring data set monitored by the first monitoring device and the second monitoring data set monitored by the second monitoring device are obtained respectively, and the first monitoring data set is compared with the first local stability threshold to obtain the first local stability degree, and the second monitoring data set is compared with the second local stability threshold to obtain the second local stability degree; the overall early warning value of the slope under construction is obtained according to the first local stability degree and the second local stability degree. In the above-mentioned early warning method, the stability of the slope that has been constructed and the unconstructed area is simultaneously monitored, and then the overall stability of the current slope is obtained through comprehensive analysis, so that the early warning monitoring of the slope is more accurate. The above-mentioned early warning method can reduce the errors and manpower usage in the traditional manual detection process. Through the first monitoring device and the second monitoring device, data can be collected in real time in harsh working environments, reducing the problems of large errors and low monitoring frequency in manual monitoring operations, and facilitating timely feedback on the stability of the slope during construction.

[0101] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 1At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0102] In one embodiment, Figure 4 As shown, an early warning system for slope construction is provided, the early warning system comprising:

[0103] A monitoring point determination module, which is used to obtain the topography of the slope to be constructed and determine the preset installation position of the slope monitoring point based on historical similar topography information;

[0104] A first acquisition module, the first acquisition module is used to set a first monitoring device at a preset installation position of a monitoring point of an original slope that has not been constructed, and acquire a first monitoring data set monitored by the first monitoring device;

[0105] A second acquisition module, the second acquisition module is used to set a second monitoring device at a preset installation position of a monitoring point of a slope that has been constructed, and obtain a second monitoring data set monitored by the second monitoring device;

[0106] A stability evaluation module, the stability evaluation module is used to compare the first monitoring data set with a first local stability threshold to obtain a first local stability, and compare the second monitoring data set with a second local stability threshold to obtain a second local stability;

[0107] An early warning value evaluation module is used to obtain an overall early warning value of the slope under construction according to the first local stability level and the second local stability level.

[0108] For the specific definition of the early warning system for slope construction, please refer to the definition of the early warning method for slope construction in the above text, which will not be repeated here. Each module in the above-mentioned early warning system for slope construction can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0109] like Figure 5 As shown, in one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the early warning method for slope construction in any of the above embodiments are implemented.

[0110] Those skilled in the art will understand that Figure 5 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0111] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0112] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0113] In addition, if the terms "first" or "second" appear, these terms are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, if the term "plurality" appears, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0114] In the present application, unless otherwise clearly specified and limited, if there is a description that a first feature is "above" or "below" a second feature, etc., or similar descriptions appear, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Moreover, the first feature being "above", "above" and "above" the second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. The first feature being "below", "below" and "below" the second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0115] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0116] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent application shall be subject to the attached claims.

Claims

1. An early warning method for slope construction, characterized in that: The early warning method comprises: Obtain the topography of the slope to be constructed and determine the preset installation location of the slope monitoring point based on historical similar topography information; Setting a first monitoring device at a preset installation position of a monitoring point of an original slope that has not been constructed, and obtaining a first monitoring data set monitored by the first monitoring device; Setting a second monitoring device at a preset installation position of a monitoring point of a slope where construction has been completed, and obtaining a second monitoring data set monitored by the second monitoring device; Calculate the covariance between any two monitoring data in the first monitoring data set, and bring the covariance into the first covariance matrix; compare each element in the first covariance matrix with the first local stability threshold to obtain the first local stability degree of each element, and calculate the covariance between any two monitoring data in the second monitoring data set, and bring the covariance into the second covariance matrix; compare each element in the second covariance matrix with the second local stability threshold to obtain the second local stability degree of each element; According to the construction progress of the slope, the first local stability level R i With the second local stability level R j Set different weights to obtain the overall warning value R of the slope under construction t for: Where: i is the weight of the i-th element in the first covariance matrix; ω j is the weight of the j-th element in the second covariance matrix.

2. The early warning method for slope construction according to claim 1, characterized in that: The first local stability level R i The weight ω i satisfy: oh i =ω0·(1-f(P))·β·I i , The second local stability level R j The weight ω j satisfy: oh j =ω0·f(P)·β·I j , Where: ω0 is the benchmark weight; f(P) represents the construction progress impact function; I i represents the importance factor of the i-th element in the first covariance matrix, I j represents the importance factor of the j-th element in the second covariance matrix, and β is the adjustment coefficient of the importance.

3. The early warning method for slope construction according to claim 2, characterized in that: The construction progress influence function f(P) is: Among them, P is the current construction progress; P0 is an offset, which is the midpoint of the construction progress; k is the adjustment coefficient.

4. The early warning method for slope construction according to any one of claims 1 to 3, characterized in that: The step of calculating the covariance between any two monitoring data in the first monitoring data set and bringing the covariance into the first covariance matrix, and calculating the covariance between any two monitoring data in the second monitoring data set and bringing the covariance into the second covariance matrix, further includes: Performing filtering processing on the first monitoring data set and the second monitoring data set respectively; The covariance between any two monitoring data in the first monitoring data set is calculated, and the covariance is brought into the first covariance matrix, and then the following steps are further included: According to the first local stability degree of the i-th element, analyzing the correlation change trend of the i-th element from the first covariance matrix, comparing the correlation change trend with the local warning preset value, and obtaining a first local warning value; The covariance between any two monitoring data in the second monitoring data set is calculated, and the covariance is brought into the second covariance matrix, and then the following steps are further included: According to the second local stability degree of the j-th element, the correlation change trend of the j-th element is analyzed from the second covariance matrix, and the correlation change trend is compared with the local warning preset value to obtain the second local warning value.

5. The early warning method for slope construction according to claim 4, characterized in that: The filtering process is performed on the first monitoring data set and the second monitoring data set respectively, including: (1) Find the coefficient of variation (2) Calculate the optimal estimate (3) Update parameters (4) Output the optimal value after filtering (5) Repeat steps (1) to (3) for each data in the first monitoring data set and the second monitoring data set and the newly collected data, and output the optimal value of each data after filtering; Among them, X t is the tth data collected, K t is the coefficient of variation; is the estimation error of the t-1th data; is the estimation error of the tth data; is the measurement error of the tth data; is the optimal estimate of the tth data; is the optimal estimate of the t-1th data.

6. The early warning method for slope construction according to claim 4, characterized in that: The method further comprises: If the overall warning value of the slope R t , the first local warning value and the second local warning value, as long as one of them is greater than the danger threshold, a safety alarm is issued.

7. The early warning method for slope construction according to any one of claims 1 to 3, characterized in that: The method further comprises: The slope construction adopts horizontal step-by-step excavation, from top to bottom, one level of excavation and one level of protection and reinforcement.

8. An early warning system for slope construction, characterized in that: The early warning system includes: A monitoring point determination module, which is used to obtain the topography of the slope to be constructed and determine the preset installation position of the slope monitoring point based on historical similar topography information; A first acquisition module, the first acquisition module is used to set a first monitoring device at a preset installation position of a monitoring point of an original slope that has not been constructed, and acquire a first monitoring data set monitored by the first monitoring device; A second acquisition module, the second acquisition module is used to set a second monitoring device at a preset installation position of a monitoring point of a slope that has been constructed, and obtain a second monitoring data set monitored by the second monitoring device; A stability evaluation module, the stability evaluation module is used to calculate the covariance between any two monitoring data in the first monitoring data set, and bring the covariance into a first covariance matrix; compare each element in the first covariance matrix with a first local stability threshold to obtain a first local stability of each element, and calculate the covariance between any two monitoring data in the second monitoring data set, and bring the covariance into a second covariance matrix; compare each element in the second covariance matrix with a second local stability threshold to obtain a second local stability of each element; The warning value evaluation module is used to respectively evaluate the first local stability level R according to the construction progress of the slope. i The second local stability level R j Set different weights to obtain the overall warning value R of the slope under construction t for: Where: i is the weight of the i-th element in the first covariance matrix; ω j is the weight of the j-th element in the second covariance matrix.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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