High and large composite slope spatial form optimization system

Abstract

The invention, which belongs to the technical field of spatial form optimization, discloses a high and large composite slope spatial form optimization system comprising a slope basic data acquisition module, a slope geological condition analysis module and a slope three-dimensional model drawing module. The output end of the slope basic data acquisition module is connected with the input end of the slope geological condition analysis module; according to the system, the slope basic data acquisition module is arranged in the system and can acquire multi-dimensional information about the slope, the subsequent data analysis effect and accuracy can be improved through a large amount of information, and meanwhile, the slope geological condition analysis module and the slope three-dimensional model drawing module are further arranged in the system; according to the method, the geological conditions of the side slope can be analyzed, meanwhile, the three-dimensional model can be established according to a large amount of obtained information, the large amount of information about the side slope can be expressed more visually, the overall shape of the side slope can be presented more fully, and follow-up space optimization is facilitated.

Description

Technical Field

[0001] The invention belongs to the technical field of spatial morphology optimization, and in particular relates to a spatial morphology optimization system for a tall composite slope. Background Art

[0002] Slopes are slopes with a certain slope that are made for the development of mineral resources, to ensure the stability of roadbeds or other structures. These slopes can be natural, or they can be formed by man-made excavation or filling. The stability and safety of the slope are crucial to the safety of the entire project. In order to keep the slope stable, its spatial form needs to be optimized.

[0003] A Chinese patent discloses (CN107609299B) a method for optimizing the slope morphology of the inner dump of an inclined base, which belongs to the field of open-pit mining. The method includes qualitatively analyzing the factors affecting the stability of the slope of the inner dump of an inclined base and the potential landslide mode; conducting mechanical experiments on the rock and soil body of the inner dump slope to obtain the physical and mechanical indicators of the slope rock and soil body; determining the safety reserve coefficient K of the slope of the inner dump of an inclined base; designing the slope morphology of the inner dump of an inclined base with different dump heights and different flat plate widths, and designing the optimal slope stability coefficient and the maximum dump space, combining the strength reduction theory algorithm, and using FLAC3D finite difference numerical simulation software to simulate and test the optimal slope morphology scheme obtained above, and further verifying the feasibility of the optimal slope morphology. This method ensures the stability of the inner dump and the continuous expansion of the inner dump space, provides a basis for the design of the slope morphology, and also saves a lot of open-pit mining costs. Although the current slope spatial morphology optimization method can achieve relative optimization effects, it is still unable to obtain more data information with more accurate quantitative indicators. In subsequent analysis, the accuracy is not enough, and there is no real-time slope supervision and early warning module. It is impossible to quickly warn of slope problems, which makes it easy for some slope accidents to occur. In addition, the three-dimensional model establishment effect is not good, resulting in the inability to improve the application effect of the overall method. In order to solve the above problems, a high-rise composite slope spatial morphology optimization system is urgently needed. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that although the current slope spatial morphology optimization method can achieve relative optimization effect, it does not collect multi-dimensional data and cannot obtain as much data information as possible. In the subsequent analysis, the accuracy is not enough, and there is no real-time slope supervision and early warning module. It is impossible to quickly warn of slope problems, some slope accidents are prone to occur, and the three-dimensional model establishment effect is not good, resulting in the inability to improve the application effect of the overall method. A high composite slope spatial morphology optimization system is proposed.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a high and large composite slope spatial morphology optimization system, including a slope basic data acquisition module, a slope geological condition analysis module and a slope three-dimensional model drawing module, the output end of the slope basic data acquisition module is connected to the input end of the slope geological condition analysis module, the output end of the slope geological condition analysis module is connected to the input end of the slope three-dimensional model drawing module, and the output end of the slope three-dimensional model drawing module is connected to the input end of the slope stability evaluation module.

[0006] As a further description of the above technical solution:

[0007] The output end of the slope stability evaluation module is connected to the input end of the slope optimization design module, the output end of the slope optimization design module is connected to the input end of the slope real-time supervision and early warning module, the output end of the slope real-time supervision and early warning module is connected to the input end of the early warning information release module, and the output end of the early warning information release module is connected to the input end of the information dissemination module.

[0008] As a further description of the above technical solution:

[0009] The slope basic data acquisition module includes a slope shape image acquisition module, the output end of the slope shape image acquisition module is connected to the input end of the slope height acquisition module, and the output end of the slope height acquisition module is connected to the input end of the slope gradient acquisition module.

[0010] As a further description of the above technical solution:

[0011] The output end of the slope gradient acquisition module is connected to the input end of the slope direction acquisition module, and the output end of the slope direction acquisition module is connected to the input end of the slope surrounding environment acquisition module.

[0012] As a further description of the above technical solution:

[0013] The slope geological condition analysis module includes a slope stratum structure acquisition module and a slope rock physical and mechanical property acquisition module, the output end of the slope stratum structure acquisition module is connected to the input end of the slope rock physical and mechanical property acquisition module, and the output end of the slope rock physical and mechanical property acquisition module is connected to the input end of the slope groundwater level acquisition module.

[0014] As a further description of the above technical solution:

[0015] The output end of the slope groundwater level acquisition module is connected to the input end of the slope fault information acquisition module, the output end of the slope fault information acquisition module is connected to the input end of the information summary module, and the output end of the information summary module is connected to the input end of the geological condition determination module.

[0016] As a further description of the above technical solution:

[0017] The slope 3D model drawing module includes a 3D model importing module and a 3D model selecting module, wherein the output end of the 3D model importing module is connected to the input end of the 3D model selecting module, and the output end of the 3D model selecting module is connected to the input end of the slope 3D model establishing module.

[0018] As a further description of the above technical solution:

[0019] The output end of the slope three-dimensional model building module is connected to the input end of the slope related data import module, the output end of the slope related data import module is connected to the input end of the related data automatic identification module, and the output end of the related data automatic identification module is connected to the input end of the three-dimensional model storage module.

[0020] As a further description of the above technical solution:

[0021] The slope stability evaluation module includes a slope physical and mechanical parameter export module, the output end of the slope physical and mechanical parameter export module is connected to the input end of the external parameter data import module, the output end of the external parameter data import module is connected to the input end of the parameter comparison module, the output end of the parameter comparison module is connected to the input end of the abnormal parameter automatic marking module, the output end of the abnormal parameter automatic marking module is connected to the input end of the slope safety evaluation module, the output end of the slope safety evaluation module is connected to the input end of the slope stability assessment module, and the output end of the slope stability assessment module is connected to the input end of the comprehensive evaluation module.

[0022] As a further description of the above technical solution:

[0023] The slope optimization design module includes a slope morphology optimization module, the output end of the slope morphology optimization module is connected to the input end of the slope drainage optimization module, the output end of the slope drainage optimization module is connected to the input end of the slope reinforcement optimization module, the output end of the slope reinforcement optimization module is connected to the input end of the slope vegetation planting optimization module, and the output end of the slope vegetation planting optimization module is connected to the input end of the slope maintenance optimization module.

[0024] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0025] In the present invention, by setting up a slope basic data acquisition module in the system, the module can obtain multi-dimensional information about the slope, and a large amount of information can improve the subsequent data analysis effect and accuracy. At the same time, the system is also provided with a slope geological condition analysis module and a slope three-dimensional model drawing module, which can analyze the geological conditions of the slope and establish a three-dimensional model based on the large amount of information obtained, so that a large amount of information about the slope can be more intuitively represented, and the overall shape of the slope can be presented more fully, which is conducive to subsequent spatial optimization. At the same time, the system is also provided with a slope real-time supervision and early warning module and an early warning information release module, which can monitor and warn the slope in real time. When the slope is at risk, the early warning information can be released immediately so that the crisis can be eliminated in time, and the overall system application effect is good. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the module structure of a high composite slope spatial morphology optimization system.

[0027] Figure 2 This is a schematic diagram of the submodule structure of the basic data acquisition module in a high-rise composite slope spatial morphology optimization system.

[0028] Figure 3 This is a schematic diagram of the submodule structure of the geological condition analysis module in a high composite slope spatial morphology optimization system.

[0029] Figure 4 This is a schematic diagram of the submodule structure of the slope three-dimensional model drawing module in a high and large composite slope spatial morphology optimization system.

[0030] Figure 5 This is a schematic diagram of the submodule structure of the slope stability evaluation module in a high composite slope spatial morphology optimization system.

[0031] Figure 6 It is a schematic diagram of the submodule structure of the slope optimization design module in a high composite slope spatial morphology optimization system.

[0032] Figure 7 This is the engineering geological model diagram of the 1-1' section over the years in a high composite slope spatial morphology optimization system.

[0033] Figure 8 This is the pressure head distribution diagram of the 1-1' section over the years in a high composite slope spatial morphology optimization system.

[0034] Fig. 9 This is a graph showing the calculation results of slope stability of the 1-1' section over the years in a high composite slope spatial morphology optimization system.

[0035] Fig.10This is a diagram of different slope angles in the 1-1' section of a high composite slope spatial morphology optimization system.

[0036] Fig.11 The invention discloses a three-dimensional model diagram of a slope drawn by using the existing technology in a three-dimensional model drawing module of a high and large composite slope spatial morphology optimization system.

[0037] Legend:

[0038] 1. Basic data acquisition module; 2. Geological condition analysis module; 3. Slope 3D model drawing module; 4. Slope stability evaluation module; 5. Slope optimization design module. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments 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 creative work are within the scope of protection of the present invention.

[0040] See also Figure 1-Figure 11 The present invention provides a technical solution: a high and large composite slope spatial morphology optimization system, comprising a slope basic data acquisition module 1, a slope geological condition analysis module 2 and a slope three-dimensional model drawing module 3, wherein the output end of the slope basic data acquisition module 1 is connected to the input end of the slope geological condition analysis module 2, the output end of the slope geological condition analysis module 2 is connected to the input end of the slope three-dimensional model drawing module 3, the output end of the slope three-dimensional model drawing module 3 is connected to the input end of the slope stability evaluation module 4, the output end of the slope stability evaluation module 4 is connected to the input end of the slope optimization design module 5, the output end of the slope optimization design module 5 is connected to the input end of the slope real-time supervision and early warning module, the output end of the slope real-time supervision and early warning module is connected to the input end of the early warning information release module, and the output end of the early warning information release module is connected to the input end of the information dissemination module.

[0041] The slope basic data acquisition module 1 includes a slope shape image acquisition module, the output end of the slope shape image acquisition module is connected to the input end of the slope height acquisition module, the output end of the slope height acquisition module is connected to the input end of the slope gradient acquisition module, the output end of the slope gradient acquisition module is connected to the input end of the slope direction acquisition module, and the output end of the slope direction acquisition module is connected to the input end of the slope surrounding environment acquisition module.

[0042] The slope geological condition analysis module 2 includes a slope stratigraphic structure acquisition module and a slope rock physical and mechanical property acquisition module, the output end of the slope stratigraphic structure acquisition module is connected to the input end of the slope rock physical and mechanical property acquisition module, the output end of the slope rock physical and mechanical property acquisition module is connected to the input end of the slope groundwater level acquisition module, the output end of the slope groundwater level acquisition module is connected to the input end of the slope fault information acquisition module, the output end of the slope fault information acquisition module is connected to the input end of the information summary module, and the output end of the information summary module is connected to the input end of the geological condition determination module.

[0043] The slope three-dimensional model drawing module 3 includes a three-dimensional model importing module and a three-dimensional model selecting module, the output end of the three-dimensional model importing module is connected to the input end of the three-dimensional model selecting module, the output end of the three-dimensional model selecting module is connected to the input end of the slope three-dimensional model establishing module, the output end of the slope three-dimensional model establishing module is connected to the input end of the slope related data importing module, the output end of the slope related data importing module is connected to the input end of the related data automatic identification module, and the output end of the related data automatic identification module is connected to the input end of the three-dimensional model saving module.

[0044] The slope stability evaluation module 4 includes a slope mechanical parameter export module, the output end of the slope physical and mechanical parameter export module is connected to the input end of the external parameter data import module, the output end of the external parameter data import module is connected to the input end of the parameter comparison module, the output end of the parameter comparison module is connected to the input end of the abnormal parameter automatic marking module, the output end of the abnormal parameter automatic marking module is connected to the input end of the slope safety evaluation module, the output end of the slope safety evaluation module is connected to the input end of the slope stability assessment module, and the output end of the slope stability assessment module is connected to the input end of the comprehensive evaluation module.

[0045] The slope optimization design module 5 includes a slope morphology optimization module, the output end of the slope morphology optimization module is connected to the input end of the slope drainage optimization module, the output end of the slope drainage optimization module is connected to the input end of the slope reinforcement optimization module, the output end of the slope reinforcement optimization module is connected to the input end of the slope vegetation planting optimization module, and the output end of the slope vegetation planting optimization module is connected to the input end of the slope maintenance optimization module.

[0046] In this embodiment, by setting up a slope basic data acquisition module in the system, the module can obtain multi-dimensional information about the slope, and a large amount of information can improve the subsequent data analysis effect and accuracy. At the same time, the system is also provided with a slope geological condition analysis module and a slope three-dimensional model drawing module, which can analyze the geological conditions of the slope and establish a three-dimensional model based on the large amount of information obtained, so that a large amount of information about the slope can be more intuitively represented, and the overall shape of the slope can be presented more full, which is conducive to subsequent spatial optimization. At the same time, the system is also provided with a slope real-time supervision and early warning module and an early warning information release module, which can monitor and warn the slope in real time. When the slope is at risk, the early warning information can be released immediately so that the crisis can be eliminated in time, and the overall system application effect is good.

[0047] In the embodiment, it should be noted that:

[0048] The three-dimensional model of the slope drawn by using the existing technology in the three-dimensional model drawing module 3 is shown below Fig.11 ;

[0049] Modeling process:

[0050] ① Import contour lines into Rhino to establish terrain surface;

[0051] ②Divide different strata and the surface into closed entities;

[0052] ③Use griddle to divide the mesh and import the model into Flac 3D ;

[0053] ④In Flac 3D Numerical simulations were performed in the software.

[0054] In the slope stability evaluation module (4):

[0055] According to the survey results and research data, typical sections were selected to establish the engineering geological model map, and on this basis, the simplified Bishop method, Janbu method and Morgenstern-Price method were used to carry out the corresponding slope stability analysis.

[0056] For example, the engineering geological model diagram of the 1-1' section over the years is as follows Figure 7 As shown in (the model height in 2023 is 100m and the length is 500m; the model height in 2025 is 140m and the length is 500m; the top layer is artificial fill, the middle layer is pebbles in natural state, and the bottom layer is pebbles in saturated state), the pressure head distribution diagram over the years is shown in Figure 8 The slope stability analysis and critical safety factor (stability factor) results are obtained by using the slope geotechnical parameters in Table 1. Fig. 9and Table 2. The potential instability mode of the section is arc sliding failure along the sidewall.

[0057] Table 1 Mechanical parameters of rock and soil mass on the slope of the dump

[0058]

[0059] Table 2 1-1' section slope stability analysis calculation results

[0060]

[0061]

[0062] The overall arc sliding failure and the local arc failure are the slopes of the same section at different times. The shape of the slope changes, and the potential instability mode changes. All three methods can analyze the stability of the slope, and each has different applicable conditions and characteristics: ① The Bishop method first proposed the definition of the stability coefficient, which played an important role in the development of the strip method. Then, by assuming that the force between the soil strips is in the horizontal direction, the normal force between the soil strips is calculated. It all determines the stability coefficient through moment balance. The Bishop method assumes that the sliding surface is an arc surface, and the stability coefficient is expressed as the ratio of the anti-sliding moment to the sliding moment of the sliding surface rotation center. Each strip is in a state of force balance. ; ② The Janbu method considers the balance method of force and moment at the same time, which is a kind of strip method. Janbu method has a wide range of applications. In actual engineering applications, it can be applied to slopes of any shape and overburden loads. In addition, Janbu method does not need to determine the position of the sliding surface; the assumption of the forces between adjacent strips; ③Morgenstern-Price method gives the position of the resultant force between strips, but changes the direction of the resultant force between strips to obtain the best solution and satisfy the balance of the normal force and the tangential force of the sliding surface and the moment balance of the midpoint of the bottom sliding surface. It is applicable to circular or non-circular sliding surfaces.

[0063] The calculation results of slope stability analysis of section 1-1' over the years show that the stability coefficients of the sections obtained using the three analysis types all meet the design stability coefficient (the three methods verify each other), the overall stability is good, and it has a certain safety reserve capacity.

[0064] In the slope optimization design module 5: the slope stability coefficient is obtained by three algorithms, and the smallest stability coefficient is selected for optimization. The slope shape is optimized according to the obtained stability coefficient. The optimization rule is: if the obtained stability coefficient is greater than the designed stability coefficient, you can choose to increase the slope angle to make the slope design more reasonable. On the contrary, if the obtained stability coefficient is less than the designed stability coefficient, you can choose to reduce the slope angle to make the slope design more reasonable. The typical section of 2023-1-1' is selected for analysis. The slope height of the 2023-1-1' section is about 20m, the slope angle is 36.4°, and the calculation result (Janbu method) is 1.419.

[0065] In 2025, the 1-1' section reaches its final shape. At this time, the slope height is about 40m, the slope angle is 23.6°, and the calculation result (Janbu method) is 1.959, which can be further steepened. According to calculations, when the slope angle of the 2025-1-1' section is 31.0°, the stability coefficient can reach 1.20. (See Fig.10 )

[0066] In the slope real-time monitoring and early warning module: the basic principle of slope radar is that the radar sends high-frequency electromagnetic waves to the target position, and obtains monitoring data by receiving the electromagnetic waves reflected by the target object. For the radar system, the target object is the slope to be monitored, and the radar system can directly obtain monitoring data: the change value of the distance (absolute distance: the distance between the monitoring point on the slope and the original position of the monitoring point) and displacement (relative distance: the distance of the monitoring point relative to the radar). The monitoring point should be the position where the slope is most likely to slide. According to the real-time analysis of the real-time displacement data, the appropriate data after analysis is stored, classified, extracted, and statistically processed to provide various reports and graphics for the daily management of the central station, and provide decision-making basis and reference for the early warning analysis of high and large composite slopes to achieve the effect of early warning and alarm in the shortest time through short messages, E-MAIL or sound. As shown in Table 3, the historical detection data of two monitoring points (the maximum displacement is the moving distance of the monitoring point measured by the radar and the maximum speed obtained by the maximum displacement and monitoring time).

[0067] Table 3 Historical detection data of monitoring points

[0068]

[0069]

[0070]

[0071]

[0072]

[0073]

[0074] Determining the forecasting method can provide forecast and warning before the landslide occurs, thus achieving the role of pre-slip warning. When the data measured in Table 3 meet the prediction level of short-term forecast, it is necessary to use the daily displacement variable as the basis and monitor at least once a day. Different forecasting methods can be selected for slope deformation according to different deformation stages. If it is in a creep deformation state, it is advisable to use: monitoring displacement curve tracking method, macro geological survey method, creep curve tangent and vector angle criterion; if it is in a constant speed deformation or accelerated deformation state, it is advisable to use: limit analysis method, golden section number method; if it is in a pre-slip state, it is advisable to use: Saiteng Dixiao method.

[0075] Table 4 Slope comprehensive information forecast system

[0076]

[0077]

[0078]

[0079] During the monitoring work, attention should be paid to changes in surface monitoring and deep monitoring data, and monitoring data should be collected and organized in a timely manner to clarify the creep state of the slope. If it is found that the deformation speed of the slope changes and enters the accelerated deformation stage, the above method can be used to carry out pre-slip warning and forecast to provide guarantee for safe production.

[0080] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A high and large composite slope spatial morphology optimization system, comprising a slope basic data acquisition module (1), a slope geological condition analysis module (2) and a slope three-dimensional model drawing module (3), characterized in that: The output end of the basic data acquisition module (1) is connected to the input end of the geological condition analysis module (2), the output end of the slope geological condition analysis module (2) is connected to the input end of the slope three-dimensional model drawing module (3), and the output end of the slope three-dimensional model drawing module (3) is connected to the input end of the slope stability evaluation module (4).

2. A high and large composite slope spatial morphology optimization system according to claim 1, characterized in that: The output end of the slope stability evaluation module (4) is connected to the input end of the slope optimization design module (5), the output end of the slope optimization design module (5) is connected to the input end of the slope real-time supervision and early warning module, the output end of the slope real-time supervision and early warning module is connected to the input end of the early warning information release module, and the output end of the early warning information release module is connected to the input end of the information dissemination module.

3. A high and large composite slope spatial morphology optimization system according to claim 2, characterized in that: The slope basic data acquisition module (1) comprises a slope shape image acquisition module, the output end of the slope shape image acquisition module is connected to the input end of the slope height acquisition module, and the output end of the slope height acquisition module is connected to the input end of the slope gradient acquisition module.

4. A high and large composite slope spatial morphology optimization system according to claim 3, characterized in that: The output end of the slope gradient acquisition module is connected to the input end of the slope direction acquisition module, and the output end of the slope direction acquisition module is connected to the input end of the slope surrounding environment acquisition module.

5. A high and large composite slope spatial morphology optimization system according to claim 4, characterized in that: The slope geological condition analysis module (2) comprises a slope stratum structure acquisition module and a slope rock physical and mechanical property acquisition module, wherein the output end of the slope stratum structure acquisition module is connected to the input end of the slope rock physical and mechanical property acquisition module, and the output end of the slope rock physical and mechanical property acquisition module is connected to the input end of the slope groundwater level acquisition module.

6. A high and large composite slope spatial morphology optimization system according to claim 5, characterized in that: The output end of the slope groundwater level acquisition module is connected to the input end of the slope fault information acquisition module, the output end of the slope fault information acquisition module is connected to the input end of the information summary module, and the output end of the information summary module is connected to the input end of the geological condition determination module.

7. A high and large composite slope spatial morphology optimization system according to claim 6, characterized in that: The slope three-dimensional model drawing module (3) comprises a three-dimensional model importing module and a three-dimensional model selecting module, wherein the output end of the three-dimensional model importing module is connected to the input end of the three-dimensional model selecting module, and the output end of the three-dimensional model selecting module is connected to the input end of the slope three-dimensional model establishing module.

8. A high and large composite slope spatial morphology optimization system according to claim 7, characterized in that: The output end of the slope three-dimensional model building module is connected to the input end of the slope related data import module, the output end of the slope related data import module is connected to the input end of the related data automatic identification module, and the output end of the related data automatic identification module is connected to the input end of the three-dimensional model storage module.

9. A high and large composite slope spatial morphology optimization system according to claim 8, characterized in that: The slope stability evaluation module (4) comprises a slope mechanical parameter export module, the output end of the slope physical mechanical parameter export module is connected to the input end of the external parameter data import module, the output end of the external parameter data import module is connected to the input end of the parameter comparison module, the output end of the parameter comparison module is connected to the input end of the abnormal parameter automatic marking module, the output end of the abnormal parameter automatic marking module is connected to the input end of the slope safety evaluation module, the output end of the slope safety evaluation module is connected to the input end of the slope stability evaluation module, and the output end of the slope stability evaluation module is connected to the input end of the comprehensive evaluation module.

10. A high and large composite slope spatial morphology optimization system according to claim 9, characterized in that: The slope optimization design module (5) comprises a slope morphology optimization module, the output end of the slope morphology optimization module is connected to the input end of the slope drainage optimization module, the output end of the slope drainage optimization module is connected to the input end of the slope reinforcement optimization module, the output end of the slope reinforcement optimization module is connected to the input end of the slope vegetation planting optimization module, and the output end of the slope vegetation planting optimization module is connected to the input end of the slope maintenance optimization module.

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