A dike slope stability intelligent early warning method and system

Abstract

The application discloses a kind of embankment slope stability intelligent early warning method and system, the method includes the soil of embankment slope is tested, the density of different particle size classification soil under different pressure, saturated density, internal friction angle, permeability coefficient, cohesion, database is constructed;The monitoring data of the backwater side of embankment slope is obtained, the monitoring data includes the distance of each monitoring block in wetting line to slope surface, maximum permeability coefficient, maximum permeability coefficient point to the distance of slope surface;According to the maximum permeability coefficient in combination with the database, the weight of each monitoring block is obtained on the maximum permeability coefficient point above soil strip, and the safety factor is calculated according to the weight of soil strip on the maximum permeability coefficient point in combination with the database;According to the safety factor, the stability of embankment slope is determined, and if the safety factor is abnormal, an alarm is sent.The application can achieve the purpose of early warning, facilitate timely taking relevant emergency measures, and avoid the occurrence of disaster.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of embankment slope soil stability monitoring, and particularly relates to an embankment slope stability intelligent early warning method and system. BACKGROUND

[0002] The safety problem of embankment engineering is essentially the problem of slope stability. Although there are relevant feasibility studies, rigorous designs and standardized constructions in embankment engineering, there are still many slope instability and destruction (not limited to embankment engineering, such as mine slope) engineering every year under the influence of changes in water level, changes in surrounding environment, meteorological changes and the like, and the economic losses and social impacts caused by the problems are still great.

[0003] At present, the monitoring in the running process of the embankment mainly focuses on macro displacement and settlement deformation; some also adopt field sampling to perform indoor related tests to measure corresponding data for theoretical calculation and analysis, and finally determine the slope stability. However, there is a problem of time lag. SUMMARY

[0004] In order to solve the problems in the prior art, the present application constructs a database of the density, saturated density, internal friction angle, permeability coefficient and cohesive force of the soil material under different pressure of different particle size classification of the embankment slope through indoor test of the soil material of the embankment slope, calculates the safety factor of the embankment slope according to the actual monitoring data combined with the database, and can achieve the purpose of early warning.

[0005] In order to achieve the above purpose, the present application provides an embankment slope stability intelligent early warning method, characterized in that it comprises,

[0006] Performing test on the soil material of the embankment slope to obtain the density, saturated density, internal friction angle, permeability coefficient and cohesive force of the soil material under different pressure of different particle size classification, and constructing a database;

[0007] Obtaining monitoring data of the backwater side of the embankment slope, the monitoring data comprising the distance from the saturation line to the slope surface in each monitoring block, the maximum permeability coefficient and the distance from the maximum permeability coefficient point to the slope surface;

[0008] According to the maximum permeability coefficient combined with the database, obtaining the weight of the soil strip above the maximum permeability coefficient point of each monitoring block, and calculating the safety factor according to the weight of the soil strip above the maximum permeability coefficient point combined with the database;

[0009] Determining the stability of the embankment slope according to the safety factor, and issuing an alarm if the safety factor is abnormal.

[0010] Further, the test comprises a container weight test, a consolidation quick shear test and a permeability test.

[0011] Further, according to the maximum permeability coefficient combined with the database, the maximum permeability coefficient point of each monitoring block is obtained. The specific weight of the soil strip above the point is,

[0012] P(K imax )=h 1i b i ρg+b i (h ti -h 1i )ρ sat g;

[0013] Wherein, i=1, 2, …, n represents the number of soil strips of the monitoring block, P(K imax ) is the weight of the soil strip above the maximum permeability coefficient point, h 1i is the distance from the wetting line to the slope surface, b i is the width of the soil strip, ρ is the density of the soil material, ρ sat is the saturated density of the soil material, h ti is the distance from the maximum permeability coefficient point to the slope surface, and g is the acceleration of gravity.

[0014] Further, according to the weight of the soil strip above the maximum permeability coefficient point, the safety factor is calculated by combining the database, including,

[0015] The weight of the soil strip above the maximum permeability coefficient point is matched with the pressure in the database to obtain the corresponding internal friction angle and cohesion, and the safety factor is obtained according to the simplified Bishop method.

[0016] Further, according to the simplified Bishop method, the safety factor is obtained, specifically including,

[0017]

[0018]

[0019] W i =b i h 1i ρg+b i h 2i ρ sat g;

[0020] Wherein, F s is the safety factor, M θi is the calculation coefficient of the soil strip, W i is the weight of the soil strip above the sliding circular arc, γ w is the unit weight of water, h 2i is the distance from the sliding circular arc to the wetting line, θ i is the bottom inclination angle of the soil strip, Φ i is the internal friction angle of the soil strip, and c i is the cohesion of the soil strip.

[0021] Further, the safety factor anomaly refers to a safety factor less than 1.15.

[0022] The application also provides a dike slope stability intelligent early warning system for realizing the above method, comprising a monitoring device, a server and a receiving end, and the receiving end is also provided with an anomaly prompter.

[0023] The monitoring device is arranged on the backwater side of the dike slope to be measured, and comprises a data collector and a transmitter.

[0024] The server stores a database of the relationship between the density of soil material, the saturated density of soil material, the internal friction angle, the permeability coefficient and the cohesive force of soil material with different particle size classifications under different pressures, and the safety factor is obtained by processing and calculating the monitoring data.

[0025] The receiving end is used for receiving the safety factor calculated by the server and issuing an alarm if the safety factor is abnormal.

[0026] Further, the dike slope stability intelligent early warning system further comprises a signal tower for realizing long-distance transmission of the monitoring data.

[0027] Further, the transmitter is a Beidou transmitter.

[0028] In some embodiments of the application, the receiving end can be a mobile phone or a personal computer.

[0029] Compared with the prior art, the application has the following beneficial effects:

[0030] The application combines the macro-micro principle of damage occurring in the operation process of the slope, and is based on the feature that the change of the microstructure is earlier than the deformation change of the macrostructure, and is based on the microstructure to first construct the database of soil material with different particle size classifications, to obtain the safety factor in real time according to the slope monitoring, to achieve the purpose of early warning, and to facilitate timely adoption of relevant emergency measures to avoid disasters. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the application, and other drawings can be obtained by those skilled in the art without creative labor.

[0032] Figure 1 The macro-micro principle diagram of the slope soil body damage is shown.

[0033] Figure 2 The change rule of the permeability coefficient after the loss of fine particles at a certain point of the embankment slope is shown.

[0034] Figure 3 A flow chart of the intelligent early warning method for the stability of the embankment slope in the embodiment is shown.

[0035] Figure 4 A schematic diagram of the seepage line and the maximum permeability coefficient point of the embankment slope in the embodiment is shown.

[0036] Figure 5 A flow chart of the calculation of the safety factor in the embodiment is shown.

[0037] Figure 6 A schematic diagram of the simplified Bishop method analysis in the embodiment is shown.

[0038] Figure 7 A structural schematic diagram of the intelligent early warning system for the stability of the embankment slope in the embodiment is shown.

[0039] Figure 8 A detailed schematic diagram of the monitoring device in the embodiment is shown.

[0040] Explanation of reference signs:

[0041] 1, monitoring device; 11, data collector; 12, transmitter; 2, signal tower; 3, server; 4, receiving end. DETAILED DESCRIPTION

[0042] The design concept of the present application is that, during the operation of the embankment slope, Figure 1 and Figure 2 as shown, fine particles in the soil are prone to loss under the action of the permeability of water, when the fine particles in the soil are lost, the microstructure shows that a line flow is formed in the soil, at this time, the permeability coefficient k value gradually increases, under the influence of the upper soil pressure, movement occurs between the soil particles, and the permeability coefficient slightly decreases; macroscopically, with the movement between the soil particles, deformation such as settlement displacement of the embankment occurs. As can be seen, the change of the microstructure is earlier than the deformation change of the macrostructure, therefore, by studying the microstructure, the stability of the embankment can be quantitatively characterized by the related parameters of the change of the microstructure, the purpose of early warning is achieved, relevant emergency measures can be taken in time, and the occurrence of disasters can be avoided. Therefore, the present application first tests the soil of the embankment slope to obtain the density of the soil, the saturated density of the soil, the internal friction angle, the permeability coefficient, and the cohesive force of the soil with different particle size classifications under different pressures, a database is constructed, the pressure above the soil strip is obtained according to the actually monitored permeability coefficient, and the safety factor is obtained according to the simplified Bishop method after the database is combined.

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the specific embodiments of the present invention and the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0044] like Figure 3 As shown, an embodiment of the present invention provides an intelligent early warning method for embankment slope stability, comprising the following steps:

[0045] S101. Test the soil materials of the embankment slope to obtain the density, saturated density, internal friction angle, permeability coefficient, and cohesion of soil materials with different particle size classifications under different pressures, and build a database.

[0046] The soil for the embankment slope can be obtained from the site or simulated using a custom mix according to construction drawings. After using a classifier to classify the embankment slope soil, the density, saturation density, internal friction angle, permeability coefficient, and cohesion of the different size-classified soils at different pressures were established through bulk density tests, consolidation quick shear tests, and permeability tests. A database was then constructed. As a typical approach to database construction, the soil material was graded to particle sizes of 5μm, 10μm, 20μm, 30μm, 40μm, 50μm, 60μm, 70μm, 80μm, 10μm, and 100μm. After selecting test coatings, the particles were sequentially removed from the smallest to the largest. Response tests were conducted at pressures of 50kPa, 100kPa, 200kPa, 400kPa, 600kPa, 800kPa, and 1000kPa, respectively. This yielded various parameter information for the different size-classified soils at different pressures, thereby constructing the database.

[0047] S102: Acquire monitoring data on the backwater side of the embankment slope, wherein the monitoring data includes the distance from the infiltration line to the slope surface, the maximum permeability coefficient, and the distance from the maximum permeability coefficient point to the slope surface in each monitoring block.

[0048] like Figure 4 As shown, the distance from the infiltration line to the slope surface is h 1i , the distance from the point with the maximum permeability coefficient to the slope surface is h ti .

[0049] S103, such as Figure 5 As shown, according to the maximum permeability coefficient combined with the database, the weight of the soil strip above the maximum permeability coefficient point of each monitoring block is obtained, and the safety factor is calculated according to the weight of the soil strip above the maximum permeability coefficient point combined with the database.

[0050] S1031, obtaining the weight of the soil strip above the maximum permeability coefficient point of each monitoring block,

[0051] P(K imax )=h 1i b i ρg+b i (h ti -h 1i )ρ sat g;

[0052] wherein i = 1, 2, …, n represents the number of soil strips of the monitoring block, P(K imax ) is the weight of the soil strip above the maximum permeability coefficient point, h 1i is the distance from the wetting line to the slope surface, b i is the width of the soil strip, ρ is the density of the soil material, ρ sat is the saturated density of the soil material, h ti is the distance from the maximum permeability coefficient point to the slope surface, and g is the acceleration of gravity.

[0053] S1032, matching the weight of the soil strip above the maximum permeability coefficient point with the pressure in the database to obtain the corresponding internal friction angle and cohesion, as shown in Figure 6 , the safety factor is obtained according to the simplified Bishop method.

[0054]

[0055]

[0056] W i =b i h 1i ρg+b i h 2i ρ sat g;

[0057] wherein F s is the safety factor, M θi is the calculation coefficient of the soil strip, W i is the weight of the soil strip above the sliding circular arc, γ w is the unit weight of water, h 2i is the distance from the sliding circular arc to the wetting line, θ i is the bottom inclination angle of the soil strip, Φ i is the internal friction angle of the soil strip, and c i is the cohesion of the soil strip.

[0058] S104, determining the stability of the embankment slope according to the safety factor, and issuing an alarm if the safety factor is abnormal.

[0059] The discrimination of the safety factor of the embankment slope is shown in Table 1.

[0060] Table 1 Data for judging the safety factor of embankment slope

[0061]

[0062] In this embodiment, the safety factor must not be lower than 1.15. If the safety factor is lower than 1.15, an alarm will be issued to alert the staff.

[0063] Reference Figure 7 In another embodiment of the present invention, an intelligent early warning system for embankment slope stability is provided, comprising a monitoring device 1, a signal tower 2, a server 3 and a receiving terminal 4. The receiving terminal 4 is also provided with an abnormality indicator. Figure 7 There is only one monitoring device 1 in the figure which is only shown schematically;

[0064] Several monitoring devices 1 can be set up on the backwater side of the embankment slope to be measured, and they can be arranged according to the actual situation to meet the monitoring needs, such as Figure 8 As shown, the monitoring device 1 includes a data collector 11 and a transmitter 12. The data collector 11 is used to collect monitoring data, and the transmitter 12 is used to transmit the monitoring data to the server 3. In this embodiment, the transmitter 12 is selected as a Beidou transmitter;

[0065] Signal tower 2, used to achieve long-distance transmission of monitoring data;

[0066] The server 3 stores a database of the relationship between the density, saturated density, internal friction angle, permeability coefficient, and cohesion of soil materials of different particle size classifications under different pressures, and processes and calculates the safety factor after receiving the monitoring data;

[0067] The receiving end 4 is used to receive the safety factor calculated by the server 3 and to issue an alarm if the safety factor is abnormal. In this embodiment, the receiving end 4 can be a mobile phone or a personal computer, but it can also be other receiving devices.

[0068] In summary, the present invention combines the macro-micro principle of slope damage during operation, and takes into account the characteristic that changes in microstructure occur earlier than macroscopic deformation changes. From a microscopic perspective, a database of soil materials with different particle size classifications is first constructed. Based on slope monitoring, the safety factor is obtained in real time, which can achieve the purpose of early warning, facilitate timely implementation of relevant emergency measures, and avoid the occurrence of disasters.

[0069] Finally, it should be noted that the above only describes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art will appreciate that the technical solutions described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalent features, and any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for intelligent early warning of embankment slope stability, characterized in that, Comprising, The soil material of the embankment slope is tested to obtain the density, saturated density, internal friction angle, permeability coefficient and cohesive force of the soil material of different particle size classifications under different pressures, and a database is constructed; Monitoring data of the backwater side of the embankment slope is obtained, and the monitoring data includes the distance from the saturation line to the slope surface, the maximum permeability coefficient and the distance from the maximum permeability coefficient point to the slope surface in each monitoring block; The weight of the soil strip above the maximum permeability coefficient point of each monitoring block is obtained according to the maximum permeability coefficient and the database, and the safety factor is calculated according to the weight of the soil strip above the maximum permeability coefficient point and the database. The stability of the embankment slope is determined according to the safety factor, and an alarm is issued if the safety factor is abnormal. The test includes a container weight test, a consolidation quick shear test and a permeability test. The weight of the soil strip above the maximum permeability coefficient point is matched with the pressure in the database to obtain the corresponding internal friction angle and cohesive force, and the safety factor is obtained according to the simplified Bishop method. The weight of the soil strip above the maximum permeability coefficient point of each monitoring block is obtained according to the maximum permeability coefficient and the database.

2. The embankment slope stability intelligent early warning method according to claim 1, characterized in that, The safety factor is obtained according to the simplified Bishop method. ； where i = 1, 2, …, n represents the number of soil strips of the monitoring block, P(K imax ) is the weight of the soil strip above the maximum permeability coefficient point, h 1i is the distance from the infiltration line to the slope surface, b i is the width of the soil strip, ρ is the density of the soil, ρ sat is the saturated density of the soil, h ti is the distance from the maximum permeability coefficient point to the slope surface, and g is the acceleration of gravity.

3. The embankment slope stability intelligent early warning method according to claim 1, characterized in that, An abnormal safety factor refers to a safety factor less than 1.

15. ； ； ； Where F s is the safety factor, M θi is the calculation factor of the soil strip, W i is the weight of the soil strip above the sliding circular arc, γ w is the specific weight of water, h 2i is the distance from the sliding circular arc to the phreatic line, θ i is the bottom angle of the soil strip, Φ i is the internal friction angle of the soil strip, c i is the cohesion of the soil strip.

4. The embankment slope stability intelligent early warning method according to any one of claims 1-3, characterized in that, The monitoring device is arranged on the backwater side of the embankment slope to be tested, and the monitoring device includes a data collector and a transmitter.

5. A levee slope stability intelligent early warning system for implementing the method of any one of claims 1-4, characterized in that, The server stores a database of the relationship between the density, saturated density, internal friction angle, permeability coefficient and cohesive force of the soil material under different pressures for different particle size classifications. The receiver receives the safety factor calculated by the server and issues an alarm if the safety factor is abnormal. The signal tower is used to realize long-distance transmission of monitoring data. The transmitter is a Beidou transmitter.

6. The embankment slope stability intelligent early warning system according to claim 5, characterized in that, ​ 7. The intelligent warning system for embankment slope stability according to claim 5, wherein, ​

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