Slope stability monitoring system and method for excavation construction of ship lock main body deep foundation pit in mudstone area

Abstract

The invention discloses a slope stability monitoring system and method for excavation construction of a deep foundation pit of a ship lock main body in a mudstone area. The monitoring system comprises a remote sensing information acquisition module, an information transmission module, a data preprocessing module, a data analysis module, an image recognition module, a numerical simulation module, a grouting reinforcement module, a decision module and a data storage module. The monitoring method comprises the steps of building a three-dimensional model of the surface shape of the side slope, monitoring and controlling the shape of the side slope, monitoring and controlling the deformation of the side slope, identifying image features, calculating the stability of the side slope, predicting the control quantity and performing grouting reinforcement. A slope surface shape three-dimensional model is established for analyzing the geometrical morphology and the variable quantity of the slope, image recognition is conducted on construction geological conditions, stratum physical and mechanical state data are obtained, a numerical simulation model is established, the slope stability is calculated in real time, and then the grouting reinforcement control quantity is predicted and controlled. And automation, precision and high efficiency of near-water-depth foundation pit slope monitoring control operation are realized.

Description

Technical Field

[0001] The invention belongs to the technical field of control systems, and relates to a slope stability monitoring system and method for deep foundation pit excavation construction of a ship lock body in a mudstone area. Background Art

[0002] Due to the large scale of the main structure of the ship lock, the need for cofferdam protection and slope excavation during waterfront construction, the scale and depth of the foundation pit required during the main construction of the ship lock are large, and the shape of the foundation pit is complex. The temporary high slope of the foundation pit is prone to slope stability safety accidents such as landslides, foundation pit water gushing or cofferdam infiltration damage under the conditions of rock and soil deadweight, construction excavation disturbance, groundwater seepage and low-strength mudstone geology, which seriously affect the construction quality and progress, and even cause loss of life and property of construction workers. Therefore, it is particularly important to monitor and control the stability of the slope during the excavation of the deep foundation pit of the main ship lock in mudstone areas.

[0003] Mudstone formations are formed by the compaction and recrystallization of various clay materials or rock fragments. The complex composition makes the mudstone formation present uneven geological structure, uneven mechanical properties and uneven permeability properties. The unevenness of the mudstone formation is manifested in a variety of textures and colors. At present, the analysis of mudstone formation conditions during the construction of deep foundation pits near water mainly relies on the naked eye identification and experience judgment of technicians. It is difficult to objectively, accurately and efficiently conduct quantitative analysis of the mudstone formation conditions, and it is impossible to provide guidance and reference for the stability of the slope of the deep foundation pit excavation construction of the main body of the ship lock in the mudstone area.

[0004] Limited by technical level and labor cost, the current temporary high slope monitoring method in deep foundation pit excavation near water focuses on observing the displacement of the slope surface or measuring the deformation inside the slope through a limited number of drill holes. These monitoring methods can often only collect simple, single and limited data, which makes it difficult to quantitatively and comprehensively reflect the slope stability and seepage stability.

[0005] In addition, the existing temporary high slope monitoring method is mainly based on manual regular inspection. Since manual regular inspection is difficult to continuously and comprehensively monitor the slope construction area, and is limited by the subjectivity, work accuracy and efficiency of technical personnel, it is difficult to ensure the quality and efficiency of temporary high slope monitoring and control work in the deep foundation pit of the main body of the ship lock in the mudstone area. Summary of the invention

[0006] In view of the shortcomings of the existing technology, the present invention proposes a slope stability monitoring system and method for the deep foundation pit excavation construction of the main body of the ship lock in mudstone areas. The system and method are suitable for monitoring and controlling temporary high slopes during the excavation construction of deep foundation pits near water under mudstone strata conditions, which is beneficial to improving the information construction level, construction efficiency and safety and reliability of the deep foundation pit excavation construction of the main body of the ship lock in mudstone areas.

[0007] In a first aspect, the present application discloses a slope stability monitoring system for deep foundation pit excavation construction of a ship lock body in a mudstone area, the system comprising a remote sensing information acquisition module, an information transmission module, a data preprocessing module, a data analysis module, an image recognition module, a numerical simulation module, a grouting reinforcement module, a decision module and a data storage module;

[0008] The remote sensing information acquisition module is mounted on the drone; the remote sensing information acquisition module includes but is not limited to a distance sensor, an optical camera sensor and an infrared camera sensor; the distance sensor is used to obtain surface geometric shape data of a temporary high slope of a deep foundation pit of a ship lock body by non-contact measurement means, the optical camera sensor is used to obtain high-precision image data, and the infrared camera sensor is used to indirectly obtain groundwater level data by measuring temperature;

[0009] The information transmission module is used to establish remote connection and transmission of information between modules, and to send alarm information to construction technicians;

[0010] The data preprocessing module is used to preprocess the raw data acquired by the remote sensing information acquisition module;

[0011] The data analysis module is used to operate the non-image data processed by the data preprocessing module and obtain a first analysis result; the first analysis result includes but is not limited to a three-dimensional model of the slope surface shape, slope height, slope gradient and seepage field data;

[0012] The image recognition module adopts convolutional neural network model technology to recognize image features of the image data processed by the data preprocessing module, and the image features include but are not limited to the stratification status of mudstone strata and mechanical property parameters of each layer, the morphology and spatial distribution of rock and soil cracks, and the morphology and spatial distribution of seepage water;

[0013] The numerical simulation module is used to establish a numerical simulation model according to the three-dimensional model of the slope surface shape and the image features, and obtain a second analysis result by calculating the numerical simulation model. The second analysis result includes but is not limited to the slope anti-slip stability coefficient, the surge stability coefficient and the flow soil stability coefficient;

[0014] The grouting reinforcement module includes a plurality of steel flower pipes, a cement slurry pool, a pumping device, a hose and cement slurry. The steel flower pipes are installed in the slope stratum through vertical drilling holes. The cement slurry pool is located around the slope construction area. The steel flower pipes are connected to the cement slurry pool through the hose. The pumping device is installed on the hose. The cement slurry is prepared and stored in the cement slurry pool.

[0015] The decision module adopts deep neural network model technology to predict the grouting reinforcement control amount according to the three-dimensional model of the slope surface shape, the seepage field data and the second analysis result, and controls the grouting reinforcement module according to the grouting reinforcement control amount; the grouting reinforcement control amount includes but is not limited to the number of steel flower pipes that need grouting, grouting pressure and grouting amount;

[0016] The data storage module is used to store the data processed by the data preprocessing module, the first analysis result, the second analysis result and the grouting reinforcement control amount.

[0017] The second aspect of the present application discloses a slope stability monitoring method for deep foundation pit excavation construction of a ship lock main body in a mudstone area, comprising the following steps:

[0018] S100, establishing a three-dimensional model of the slope surface shape: the surface geometric shape data of the temporary high slope of the deep foundation pit of the ship lock body is obtained by the distance measuring sensor, and after preprocessing by the data preprocessing module, the three-dimensional model M of the slope surface shape is established by the data analysis module. n For [X n , Y n , Z n ], and then obtain the measured values ​​of the slope height and the slope gradient;

[0019] S200, slope morphology monitoring and control: when the deviation between the actual measured value of the slope height and the designed value of the slope height exceeds the design requirement, or when the deviation between the actual measured value of the slope gradient and the designed value of the slope gradient exceeds the design requirement, an alarm message is sent to the construction technicians through the information transmission module until the actual measured value of the slope height and the actual measured value of the slope gradient meet the design requirement through slope trimming operations;

[0020] S300, slope deformation monitoring and control: After time t, the three-dimensional model M of the slope surface shape n+t Updated to [X n+t , Y n+t , Z n+t ]; According to M n With M n+t The relative relationship of the slope displacement ΔL, displacement speed V and slope change Δα in the time period t is obtained; when the slope displacement ΔL, displacement speed V or slope change Δα in the time period t exceeds the design requirements, an alarm message is sent to the construction technicians through the information transmission module until the slope displacement ΔL, displacement speed V and slope change Δα in the time period t meet the design requirements;

[0021] S400, recognition of image features: acquiring image data of a temporary high slope of a deep foundation pit of a ship lock body through the optical camera sensor, and acquiring image features through the image recognition module after preprocessing by the data preprocessing module, wherein the image features include but are not limited to the stratification of mudstone strata and mechanical property parameters of each layer, the morphology and spatial distribution of rock and soil cracks, and the morphology and spatial distribution of water seepage;

[0022] S500, slope stability calculation: indirectly obtain groundwater level data through the infrared camera sensor, and obtain seepage field data through the data analysis module after preprocessing by the data preprocessing module; establish a numerical simulation model through the numerical simulation module according to the three-dimensional model of the slope surface shape, the seepage field data and the image features, and obtain a second analysis result by calculating the numerical simulation model, the second analysis result includes but is not limited to the slope anti-slip stability coefficient, the surge stability coefficient and the soil flow stability coefficient;

[0023] S600, prediction of control quantity: predicting the grouting reinforcement control quantity through the decision module according to the three-dimensional model of the slope surface shape, the seepage field data and the second analysis result; the grouting reinforcement control quantity includes but is not limited to the number of steel flower pipes that need grouting, grouting pressure and grouting quantity;

[0024] S700, grouting reinforcement: controlling the grouting reinforcement module according to the grouting reinforcement control amount, thereby performing grouting reinforcement operation.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows: for monitoring and controlling temporary high slopes during the excavation of deep foundation pits near water under mudstone formation conditions, a slope stability monitoring system for deep foundation pit excavation construction of ship lock main body in mudstone area is disclosed, the system comprising a remote sensing information acquisition module, an information transmission module, a data preprocessing module, a data analysis module, an image recognition module, a numerical simulation module, a grouting reinforcement module, a decision module and a data storage module; wherein, the surface geometric shape data, image data and groundwater level data of the temporary high slope of the deep foundation pit of the ship lock main body are obtained by the remote sensing information acquisition module, the image recognition module is used to recognize the image and obtain the physical and mechanical state data of the slope formation, the data analysis module and the numerical simulation module are used to quantitatively analyze the slope morphology, deformation and stability, and finally the decision module is used to predict a reasonable grouting reinforcement control amount according to the analysis results, so as to realize accurate control of the grouting reinforcement module; in addition, the present invention also Disclosed is a slope stability monitoring method for deep foundation pit excavation construction of a ship lock body in a mudstone area. The monitoring method comprises the establishment of a three-dimensional model of the slope surface shape, slope morphology monitoring and control, slope deformation monitoring and control, image feature recognition, slope stability calculation, control quantity prediction and grouting reinforcement; a three-dimensional model of the slope surface shape is established according to data acquired by the remote sensing information acquisition module to analyze the geometric shape of the slope and its variation, so as to realize the automation, real-time and high efficiency of slope morphology and deformation monitoring and control; image recognition is performed on the construction geological conditions and the physical and mechanical state data of the stratum is acquired, and then a numerical simulation model is established and the slope stability is calculated in real time, and then the neural network technology is used to predict the grouting reinforcement control quantity, so as to control the grouting reinforcement module and realize the automation and precision of the slope grouting reinforcement operation, so as to finally realize the automation, precision and high efficiency of the slope stability monitoring and control operation for the deep foundation pit excavation construction of the ship lock body in the mudstone area. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a connection schematic diagram of the slope stability monitoring system for deep foundation pit excavation construction of the main body of the ship lock in mudstone area of ​​the present invention;

[0027] Figure 2 It is a flow chart of the slope stability monitoring method for deep foundation pit excavation construction of the main body of a ship lock in mudstone area of ​​the present invention;

[0028] Figure 3 It is a cross-sectional schematic diagram of a temporary high slope of a deep foundation pit of a ship lock in a mudstone area according to an embodiment of the present invention;

[0029] Figure markings: 11-remote sensing information acquisition module, 111-ranging sensor, 112-optical camera sensor, 113-infrared camera sensor, 12-information transmission module, 13-data preprocessing module, 14-data analysis module, 15-image recognition module, 16-numerical simulation module, 17-decision-making module, 18-grouting reinforcement module, 181-steel flower pipe, 182-cement slurry pool, 183-pumping device, 184-hose, 185-cement slurry, 19-data storage module, 21-slope, 22-cofferdam, 23-water surface, 24-ship lock body. DETAILED DESCRIPTION

[0030] The following is a more detailed description of the embodiments of the present invention in conjunction with the accompanying drawings and the accompanying drawings so that a person skilled in the art can implement the embodiments after reading the description. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0031] The first aspect of the present application discloses Figure 1-3 The slope stability monitoring system for deep foundation pit excavation construction of the main body of the ship lock in mudstone area shown in the figure comprises a remote sensing information acquisition module 11, an information transmission module 12, a data preprocessing module 13, a data analysis module 14, an image recognition module 15, a numerical simulation module 16, a grouting reinforcement module 18, a decision module 17 and a data storage module 19;

[0032] The remote sensing information acquisition module 11 is mounted on the drone; the remote sensing information acquisition module 11 includes but is not limited to a distance sensor 111, an optical camera sensor 112 and an infrared camera sensor 113; the distance sensor 111 is used to obtain the surface geometry data of the temporary high slope 21 of the deep foundation pit of the ship lock body by non-contact measurement means, the optical camera sensor 112 is used to obtain high-precision image data, and the infrared camera sensor 113 is used to indirectly obtain groundwater level data by measuring temperature;

[0033] The information transmission module 12 is used to establish remote connection and transmission of information between modules, and to send alarm information to construction technicians;

[0034] The data preprocessing module 13 is used to preprocess the raw data acquired by the remote sensing information acquisition module 11;

[0035] The data analysis module 14 is used to calculate the non-image data processed by the data preprocessing module 13 and obtain a first analysis result; the first analysis result includes but is not limited to a three-dimensional model of the slope surface shape, slope height, slope gradient and seepage field data;

[0036] The image recognition module 15 uses a convolutional neural network model technology to recognize image features of the image data processed by the data preprocessing module 13, and the image features include but are not limited to the stratification of mudstone strata and mechanical property parameters of each layer, the morphology and spatial distribution of rock and soil cracks, and the morphology and spatial distribution of seepage water;

[0037] The numerical simulation module 16 is used to establish a numerical simulation model according to the three-dimensional model of the slope surface shape and the image features, and obtain a second analysis result by calculating the numerical simulation model. The second analysis result includes but is not limited to the slope anti-slip stability coefficient, the surge stability coefficient and the soil flow stability coefficient;

[0038] The grouting reinforcement module 18 includes a plurality of steel flower pipes 181, a cement slurry pool 182, a pumping device 183, a hose 184 and cement slurry 185. The steel flower pipes 181 are installed in the stratum of the slope 21 through vertical drilling holes. The cement slurry pool 182 is located around the slope construction area. The steel flower pipes 181 are connected to the cement slurry pool 182 through the hose 184. The pumping device 184 is installed on the hose. The cement slurry 185 is prepared and stored in the cement slurry pool 182.

[0039] The decision module 17 adopts deep neural network model technology to predict the grouting reinforcement control amount according to the three-dimensional model of the slope surface shape, the seepage field data and the second analysis result, and controls the grouting reinforcement module 18 according to the grouting reinforcement control amount; the grouting reinforcement control amount includes but is not limited to the number of steel flower pipes that need grouting, grouting pressure and grouting amount;

[0040] The data storage module 19 is used to store the data processed by the data preprocessing module 13, the first analysis result, the second analysis result and the grouting reinforcement control amount.

[0041] The second aspect of the present application discloses Figure 2-3 The slope stability monitoring method for deep foundation pit excavation construction of the main body of the ship lock in mudstone area shown in the figure includes the following steps:

[0042] S100, establishing a three-dimensional model of the slope surface shape: The surface geometric shape data of the temporary high slope 21 of the deep foundation pit of the ship lock body is obtained by the distance measuring sensor 111, and after preprocessing by the data preprocessing module, the three-dimensional model M of the slope surface shape is established by the data analysis module 14. n For [X n , Y n , Z n ], and then obtain the measured values ​​of the slope height and the slope gradient;

[0043] S200, slope morphology monitoring and control: when the deviation between the actual measured value of the slope height and the designed value of the slope height exceeds the design requirement, or when the deviation between the actual measured value of the slope gradient and the designed value of the slope gradient exceeds the design requirement, an alarm message is sent to the construction technicians through the information transmission module 12 until the actual measured value of the slope height and the actual measured value of the slope gradient meet the design requirement through the slope trimming operation;

[0044] S300, slope deformation monitoring and control: After time t, the three-dimensional model M of the slope surface shape n+t Updated to [X n+t , Y n+t , Z n+t ]; According to M n With M n+t The relative relationship between the slope displacement ΔL, displacement speed V and slope change Δα in the time period t is obtained; when the slope displacement ΔL, displacement speed V or slope change Δα in the time period t exceeds the design requirements, an alarm message is sent to the construction technicians through the information transmission module 12 until the slope displacement ΔL, displacement speed V and slope change Δα in the time period t meet the design requirements;

[0045] S400, recognition of image features: the optical camera sensor 112 is used to obtain image data of the temporary high slope 21 of the deep foundation pit of the ship lock body, and after preprocessing by the data preprocessing module 13, the image recognition module 15 obtains image features, the image features including but not limited to the stratification of mudstone strata and mechanical property parameters of each layer, the morphology and spatial distribution of rock and soil cracks, and the morphology and spatial distribution of water seepage;

[0046] S500, slope stability calculation: the groundwater level data is indirectly obtained by the infrared camera sensor 113, and after preprocessing by the data preprocessing module 13, the seepage field data is obtained by the data analysis module 14; according to the three-dimensional model of the slope surface shape, the seepage field data and the image features, the numerical simulation module 16 establishes a numerical simulation model, and obtains a second analysis result by calculating the numerical simulation model, the second analysis result includes but is not limited to the slope anti-slip stability coefficient, the surge stability coefficient and the flow soil stability coefficient;

[0047] S600, prediction of control quantity: predicting the grouting reinforcement control quantity through the decision module 17 according to the three-dimensional model of the slope surface shape, the seepage field data and the second analysis result; the grouting reinforcement control quantity includes but is not limited to the number of steel flower pipes that need grouting, the grouting pressure and the grouting quantity;

[0048] S700, grouting reinforcement: controlling the grouting reinforcement module 18 according to the grouting reinforcement control amount, thereby performing grouting reinforcement operation.

[0049] It can be seen that, according to the data obtained by the remote sensing information acquisition module, a three-dimensional model of the slope surface shape is established to analyze the geometric shape of the slope and its change amount, so as to realize the automation, real-time and high efficiency of slope shape and deformation monitoring and control; by performing image recognition on the construction geological conditions and obtaining the physical and mechanical state data of the stratum, a numerical simulation model is then established and the slope stability is calculated in real time, and then the neural network technology is used to predict the grouting reinforcement control amount, thereby controlling the grouting reinforcement module and realizing the automation and precision of the slope grouting reinforcement operation, and finally realizing the automation, precision and high efficiency of the slope stability monitoring and control operation of the deep foundation pit excavation construction of the main body of the ship lock in the mudstone area.

[0050] The above are one or more embodiments of the present invention, and the description is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. The slope stability monitoring system for deep foundation pit excavation of the main body of the ship lock in mudstone area is characterized by: It includes remote sensing information acquisition module, information transmission module, data preprocessing module, data analysis module, image recognition module, numerical simulation module, grouting reinforcement module, decision-making module and data storage module; The remote sensing information acquisition module is mounted on the drone; the remote sensing information acquisition module includes but is not limited to a distance sensor, an optical camera sensor and an infrared camera sensor; the distance sensor is used to obtain surface geometric shape data of a temporary high slope of a deep foundation pit of a ship lock body by non-contact measurement means, the optical camera sensor is used to obtain high-precision image data, and the infrared camera sensor is used to indirectly obtain groundwater level data by measuring temperature; The information transmission module is used to establish remote connection and transmission of information between modules, and to send alarm information to construction technicians; The data preprocessing module is used to preprocess the raw data acquired by the remote sensing information acquisition module; The data analysis module is used to operate the non-image data processed by the data preprocessing module and obtain a first analysis result; the first analysis result includes but is not limited to a three-dimensional model of the slope surface shape, slope height, slope gradient and seepage field data; The image recognition module uses convolutional neural network model technology to recognize image features of the image data processed by the data preprocessing module; The numerical simulation module is used to establish a numerical simulation model according to the three-dimensional model of the slope surface shape and the image features, and obtain a second analysis result by calculating the numerical simulation model; The grouting reinforcement module includes a plurality of steel flower pipes, a cement slurry pool, a pumping device, a hose and cement slurry. The steel flower pipes are installed in the slope stratum through vertical drilling holes. The cement slurry pool is located around the slope construction area. The steel flower pipes are connected to the cement slurry pool through the hose. The pumping device is installed on the hose. The cement slurry is prepared and stored in the cement slurry pool. The decision module adopts deep neural network model technology to predict the grouting reinforcement control amount according to the three-dimensional model of the slope surface shape, the seepage field data and the second analysis result, and controls the grouting reinforcement module according to the grouting reinforcement control amount; The data storage module is used to store the data processed by the data preprocessing module, the first analysis result, the second analysis result and the grouting reinforcement control amount.

2. The slope stability monitoring system for deep foundation pit excavation construction of the main body of the ship lock in mudstone area according to claim 1 is characterized by: The image features include, but are not limited to, the stratification status of mudstone strata and the mechanical property parameters of each layer, the morphology and spatial distribution of rock and soil cracks, and the morphology and spatial distribution of seepage water.

3. The slope stability monitoring system for deep foundation pit excavation construction of the main body of the ship lock in mudstone area according to claim 1 is characterized by: The second analysis results include but are not limited to the slope anti-sliding stability coefficient, the surge stability coefficient and the soil flow stability coefficient.

4. The slope stability monitoring system for deep foundation pit excavation construction of the main body of the ship lock in mudstone area according to claim 1 is characterized by: The grouting reinforcement control quantity includes but is not limited to the number of steel pipes that need grouting, the grouting pressure and the grouting amount.

5. A monitoring method, characterized in that: The slope stability monitoring system for deep foundation pit excavation construction of a ship lock in a mudstone area as claimed in any one of claims 1 to 4 comprises the following steps: S100, establishing a three-dimensional model of the slope surface shape: the surface geometric shape data of the temporary high slope of the deep foundation pit of the ship lock body is obtained by the distance measuring sensor, and after preprocessing by the data preprocessing module, the three-dimensional model M of the slope surface shape is established by the data analysis module. n For [X n , Y n , Z n ], and then obtain the measured values ​​of the slope height and the slope gradient; S200, slope morphology monitoring and control: when the deviation between the actual measured value of the slope height and the designed value of the slope height exceeds the design requirement, or when the deviation between the actual measured value of the slope gradient and the designed value of the slope gradient exceeds the design requirement, an alarm message is sent to the construction technicians through the information transmission module until the actual measured value of the slope height and the actual measured value of the slope gradient meet the design requirement through slope trimming operations; S300, slope deformation monitoring and control: After time t, the three-dimensional model M of the slope surface shape n+t Updated to [X n+t , Y n+t , Z n+t ]; According to M n With M n+t The relative relationship of the slope displacement ΔL, displacement speed V and slope change Δα in the time period t is obtained; when the slope displacement ΔL, displacement speed V or slope change Δα in the time period t exceeds the design requirements, an alarm message is sent to the construction technicians through the information transmission module until the slope displacement ΔL, displacement speed V and slope change Δα in the time period t meet the design requirements; S400, recognition of image features: acquiring image data of a temporary high slope of a deep foundation pit of a ship lock body by the optical camera sensor, and acquiring image features by the image recognition module after preprocessing by the data preprocessing module; S500, slope stability calculation: indirectly obtain groundwater level data through the infrared camera sensor, and obtain seepage field data through the data analysis module after preprocessing by the data preprocessing module; establish a numerical simulation model through the numerical simulation module according to the three-dimensional model of the slope surface shape, the seepage field data and the image features, and obtain a second analysis result by calculating the numerical simulation model; S600, prediction of control amount: predicting the grouting reinforcement control amount through the decision module according to the three-dimensional model of the slope surface shape, the seepage field data and the second analysis result; S700, grouting reinforcement: controlling the grouting reinforcement module according to the grouting reinforcement control amount, thereby performing grouting reinforcement operation.

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