A method and system for auxiliary repair of ultra-deep underground continuous wall seepage

Abstract

The present invention belongs to the technical field of seepage repair, and specifically is an auxiliary method and system for seepage repair of ultra-deep underground continuous walls, comprising a seepage monitoring unit, a data acquisition and processing unit, a control unit, a grouting repair unit and a verification unit. The seepage monitoring unit comprises a plurality of seepage monitoring sensors arranged at different depths of the underground continuous wall, and is used to monitor the seepage condition of the wall in real time; the data acquisition and processing unit comprises a data acquisition unit and a data processing unit, and is used to collect and analyze the seepage data of each sensor; the control unit is used to formulate a seepage repair strategy according to the data processing result, and control the implementation of the repair operation, by arranging seepage monitoring sensors at different depths of the underground continuous wall, monitoring the seepage condition in real time, using data analysis software to process and analyze the data, formulating an accurate repair strategy, and then effectively blocking the leakage path through grouting repair, thereby improving the repair efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of seepage repair, and in particular to an auxiliary method and system for ultra-deep underground continuous wall seepage repair. Background Art

[0002] Underground continuous wall is a foundation project that uses a trenching machine on the ground to dig a long and narrow deep trench along the peripheral axis of the deep excavation project under the condition of mud wall protection. After the trench is cleaned, a steel cage is suspended in the trench, and then underwater concrete is poured using the conduit method to build a unit trench section. This process is carried out section by section to build a continuous reinforced concrete wall underground as a water interception, anti-seepage, load-bearing and water-retaining structure. Ultra-deep underground continuous walls are widely used in underground projects, such as foundation pit support, basement exterior walls, underground tunnels, etc. However, due to the influence of factors such as groundwater pressure and construction technology, underground continuous walls often have seepage problems, which seriously affect the stability and safety of the structure.

[0003] At present, there are many methods for repairing underground continuous wall seepage, but they generally have low efficiency, unsatisfactory results, and the inability to conduct timely detection of multiple seepage points in multiple directions and angles or to conduct timely data analysis and repair. These problems further reduce the use effect and work efficiency of the device.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] To solve the above problems, the present invention provides the following technical solutions:

[0006] An auxiliary system for seepage repair of ultra-deep underground continuous walls, applied to underground continuous walls, comprising a seepage monitoring unit, a data acquisition unit, a data processing unit, a control unit, a grouting repair unit and a verification unit;

[0007] The seepage monitoring unit is used to monitor the seepage data of the underground continuous wall in real time;

[0008] The data acquisition unit is used to collect the seepage data monitored by the seepage monitoring unit;

[0009] The data processing unit is used to analyze and process the seepage data to obtain the permeability index and the permeability rate;

[0010] The control unit is used to formulate a seepage repair strategy and control the implementation of the repair operation according to the permeability index and permeability rate data results of the data processing unit;

[0011] The grouting repair unit is used to perform grouting repair at the seepage location;

[0012] The verification unit is used to continue monitoring the seepage situation after the repair is completed to verify the repair effect.

[0013] Further, the seepage monitoring unit includes a plurality of seepage monitoring sensors, including a pressure sensor, a depth sensor and a seepage meter, which are respectively arranged at different depths of the underground continuous wall, and the seepage monitoring sensor is wirelessly connected to the data acquisition unit for real-time transmission of seepage data;

[0014] The seepage monitoring unit obtains a plurality of seepage points at different depths of the underground continuous wall, and marks the plurality of seepage points as analysis objects &, & = {1, 2, 3, 4, 5, ..., n}, where n is the number of analysis objects and n is a positive integer greater than 5;

[0015] The seepage monitoring unit measures the pressure data of each seepage point through a pressure sensor and records it as P, where P = {1, 2, 3, 4, 5, ..., w}, where w is a positive integer greater than 5; measures the flow data of each seepage point through a seepage level meter and records it as Q, where Q = {1, 2, 3, 4, 5, ..., m}, where m is a positive integer greater than 5; and measures the depth data of each seepage point through a depth sensor and records it as D, where D = {1, 2, 3, 4, 5, ..., e}, where e is a positive integer greater than 5.

[0016] Furthermore, the data acquisition unit is used to receive pressure data measured by each pressure sensor, depth data measured by the depth sensor and flow data measured by the seepage meter, and transmit the multiple pressure data, depth data and flow data to the data processing unit, and the data processing unit processes and analyzes the multiple pressure data, depth data and flow data to determine the specific location and severity of the seepage.

[0017] Further, the data processing unit obtains a plurality of pressure data, depth data and flow data, the data processing unit obtains the number of seepage points, and the data processing unit obtains the time point of the first data and the time difference of the last data point to record as the detection time length;

[0018] The data processing unit calculates the permeability index according to the number of seepage points, the detection time, a plurality of pressure data, depth data and flow data, wherein the calculation formula is:

[0019]

[0020] where F i is the i-th permeability index, Q i is the flow data of the i-th seepage point, P i is the pressure data of the i-th seepage point, D iis the depth data of the i-th seepage point, N is the total number of seepage points, and t is the detection time;

[0021] Obtain a preset standard permeability index, and calculate the permeability degree at the corresponding seepage point according to the preset standard permeability index and the i-th permeability index, wherein the calculation formula is:

[0022]

[0023] Where H is the penetration degree, F 标 is the preset standard penetration index, F i is the i-th permeability index;

[0024] Determining the difference between the penetration degree and a preset penetration degree;

[0025] If the penetration level is greater than a preset penetration level, it is determined that the penetration at the seepage point is high;

[0026] If the permeability is not greater than the preset permeability, it is determined that the permeability at the seepage point is low.

[0027] Further, the data processing unit obtains the seepage cross-sectional area, hydraulic gradient vector and Laplace operator of hydraulic gradient of multiple seepage points, and the data processing unit calculates the seepage rate according to the hydraulic gradient vector, seepage cross-sectional area, Laplace operator of hydraulic gradient and permeability coefficient, wherein the calculation formula is:

[0028]

[0029] Where q is the seepage rate, k is the permeability coefficient, A is the seepage cross-sectional area, is the hydraulic gradient vector, a is the secondary hydraulic gradient influence coefficient, which is a constant. is the Laplace operator of the hydraulic gradient.

[0030] Further, the data processing unit obtains an estimate of the permeability coefficient k, and the estimated permeability coefficient k can be optimized by a nonlinear regression method using a function, and the permeability coefficient under the test conditions is set to k0, and is estimated by minimizing the following objective function, wherein the formula is as follows:

[0031]

[0032] Among them, q i is the seepage rate at the i-th observation point, k is the permeability coefficient, A i is the seepage cross-sectional area of ​​the ith observation point, is the hydraulic gradient at the ith observation point, J(K) is the objective function expression with permeability k0, and N is the number of observation points.

[0033] Furthermore, the control unit includes a controller, which generates a repair strategy based on the data measurement values ​​of the permeability degree and seepage rate of the data processing unit, and the repair strategy includes selecting grouting materials, determining grouting positions and grouting amounts, wherein the grouting material is one of cement slurry and chemical slurry, and the controller in the control unit automatically controls the operation of the grouting repair unit through a preset program.

[0034] Furthermore, the grouting repair unit, according to the repair strategy formulated by the control unit, continuously injects the grouting material, which is a mixed liquid such as cement slurry and chemical slurry, into the seepage position through the penetration point according to the penetration degree requirements of the penetration point, and performs grouting repair at the seepage position.

[0035] Furthermore, the verification unit is used to continue monitoring the seepage of the underground continuous wall after the repair is completed to ensure the repair effect, and again use the data measurement values ​​of the permeability and seepage rate of the data processing unit to determine whether the data meets the requirements, further optimize the repair strategy through the control unit, and perform repair again.

[0036] An auxiliary method for repairing seepage of ultra-deep underground continuous wall, comprising the following steps:

[0037] Step 1: Seepage monitoring: by arranging seepage monitoring sensors at different depths of the underground continuous wall, the seepage condition of the wall can be monitored in real time;

[0038] Step 2: Data collection and analysis: Collect the seepage data from each sensor, and use data analysis software to process and analyze the data to determine the specific location and severity of the seepage;

[0039] Step 3: Seepage repair strategy formulation: According to the data analysis results, formulate corresponding repair strategies, including the selection of grouting materials, determination of grouting location and grouting amount, etc.;

[0040] Step 4: Grouting repair: According to the established repair strategy, grouting repair is carried out at the seepage location to block the leakage path;

[0041] Step 5: Effect verification: After the repair is completed, continue to monitor the seepage to verify the repair effect. If it is found that the seepage problem has not been completely solved, further optimize the repair strategy and perform repair again.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The present invention arranges seepage monitoring sensors at different depths of the underground continuous wall to monitor the seepage situation in real time, uses data analysis software to process and analyze data, formulates accurate repair strategies, and then effectively blocks the leakage path through grouting repair to improve the repair efficiency: by accurately locating the seepage position and formulating a scientific repair strategy, the efficiency of seepage repair is improved and the repair effect is ensured: through continuous monitoring and verification, it is ensured that the seepage problem is completely solved and the stability and safety of the structure are guaranteed; simple operation: the system has a high degree of integration and is easy to operate, and is suitable for various complex underground environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0045] Figure 1 The present invention is a schematic diagram of an auxiliary method for repairing seepage of ultra-deep underground continuous walls and system steps. DETAILED DESCRIPTION

[0046] 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.

[0047] like Figure 1As shown, a seepage repair auxiliary system for ultra-deep underground continuous wall is applied to underground continuous wall, including a seepage monitoring unit, a data acquisition unit, a data processing unit, a control unit, a grouting repair unit and a verification unit; the seepage monitoring unit is used to monitor the seepage data of the underground continuous wall in real time; the data acquisition unit is used to collect the seepage data monitored by the seepage monitoring unit; the data processing unit is used to analyze and process the seepage data to obtain the permeability index and the permeability rate; the control unit is used to formulate a seepage repair strategy according to the permeability index and the permeability rate data results of the data processing unit, and control the implementation of the repair operation; the grouting repair unit is used to perform grouting repair at the seepage position; the verification unit is used to continue to monitor the seepage situation after the repair is completed, and verify the repair effect. The present invention arranges seepage monitoring sensors at different depths of the underground continuous wall to monitor the seepage situation in real time, uses data analysis software to process and analyze data, formulates accurate repair strategies, and then effectively blocks the leakage path through grouting repair to improve the repair efficiency: by accurately locating the seepage position and formulating a scientific repair strategy, the efficiency of seepage repair is improved and the repair effect is ensured: through continuous monitoring and verification, it is ensured that the seepage problem is completely solved and the stability and safety of the structure are guaranteed; simple operation: the system has a high degree of integration and is easy to operate, and is suitable for various complex underground environments.

[0048] Specifically, the seepage monitoring unit includes a plurality of seepage monitoring sensors, including a pressure sensor, a depth sensor and a seepage meter, which are respectively arranged at different depths of the underground continuous wall. The seepage monitoring sensor is wirelessly connected to the data acquisition unit for real-time transmission of seepage data;

[0049] The seepage monitoring unit obtains a plurality of seepage points at different depths of the underground continuous wall, and marks the plurality of seepage points as analysis objects &, & = {1, 2, 3, 4, 5, ..., n}, where n is the number of analysis objects and n is a positive integer greater than 5;

[0050] The seepage monitoring unit measures the pressure data of each seepage point through a pressure sensor and records it as P, where P = {1, 2, 3, 4, 5, ..., w}, where w is a positive integer greater than 5; measures the flow data of each seepage point through a seepage level meter and records it as Q, where Q = {1, 2, 3, 4, 5, ..., m}, where m is a positive integer greater than 5; and measures the depth data of each seepage point through a depth sensor and records it as D, where D = {1, 2, 3, 4, 5, ..., e}, where e is a positive integer greater than 5.

[0051] Specifically, the data acquisition unit is used to receive pressure data measured by each pressure sensor, depth data measured by the depth sensor and flow data measured by the seepage meter, and transmit the multiple pressure data, depth data and flow data to the data processing unit. The data processing unit processes and analyzes the multiple pressure data, depth data and flow data to determine the specific location and severity of the seepage.

[0052] Specifically, the data processing unit acquires a plurality of pressure data, depth data and flow data, the data processing unit acquires the number of seepage points, and the data processing unit acquires the time point of the first data and the time difference of the last data point to record as the detection time length;

[0053] The data processing unit calculates the permeability index according to the number of seepage points, the detection time, a plurality of pressure data, depth data and flow data, wherein the calculation formula is:

[0054]

[0055] where F i is the i-th permeability index, Q i is the flow data of the i-th seepage point, P i is the pressure data of the i-th seepage point, D i is the depth data of the i-th seepage point, N is the total number of seepage points, and T is the detection time;

[0056] Obtain a preset standard permeability index, and calculate the permeability degree at the corresponding seepage point according to the preset standard permeability index and the i-th permeability index, wherein the calculation formula is:

[0057]

[0058] Where H is the penetration degree, F 标 is the preset standard penetration index, F i is the i-th permeability index;

[0059] Determining the difference between the penetration degree and a preset penetration degree;

[0060] If the penetration level is greater than a preset penetration level, it is determined that the penetration at the seepage point is high;

[0061] If the permeability is not greater than the preset permeability, it is determined that the permeability at the seepage point is low.

[0062] The present invention uses a pressure sensor, a depth sensor and a permeameter to measure the pressure, depth and permeability flow rate of each seepage point during the infiltration process, and records the total number of infiltrations at each measuring point as N, and the time of infiltration as T using a timer, transmits the measured data to a data acquisition system, analyzes the data, and uses the formula The severity of seepage at the seepage point can be calculated, which is helpful for the staff to repair the seepage point.

[0063] Specifically, in order to accurately measure the degree of infiltration, the data processing unit obtains the seepage cross-sectional area, hydraulic gradient vector and Laplace operator of hydraulic gradient of multiple infiltration points, and calculates the infiltration rate according to the hydraulic gradient vector, seepage cross-sectional area, Laplace operator of hydraulic gradient and permeability coefficient, wherein the calculation formula is:

[0064]

[0065] Where q is the seepage rate, k is the permeability coefficient, A is the seepage cross-sectional area, is the hydraulic gradient vector, a is the secondary hydraulic gradient influence coefficient, which is a constant. is the Laplace operator of the hydraulic gradient. The above method can accurately measure and calculate the infiltration rate of the seepage point, which is conducive to early repair of the seepage point, further reducing the damage of the continuous wall and further improving the service life of the device. In the formula h is a function of the spatial position h(x,y,z), then the hydraulic gradient vector can be expressed by the partial derivative of the head function. The partial derivative of h is calculated to obtain the head gradient The hydraulic head gradient is the hydraulic head difference Δh at both ends of the flow path and the length l of the path, and then It can be expressed that Δh can be measured by the permeability meters at both ends, and the length l of the path can be obtained by using the depth sensor, so that the measured data can be substituted into the numerical value for calculation.

[0066] The data processing unit performs the following steps to analyze the data for estimating the permeability coefficient k:

[0067] The data processing unit obtains an estimate of the permeability coefficient k, and the estimate of the permeability coefficient k can be optimized by a nonlinear regression method using a function, and the permeability coefficient under the test condition is set to k0, and is estimated by minimizing the following objective function, wherein the formula is as follows:

[0068]

[0069] Among them, q iis the seepage rate at the i-th observation point, k is the permeability coefficient, A i is the seepage cross-sectional area of ​​the ith observation point, is the hydraulic gradient at the ith observation point, J(K) is the objective function expression with the permeability coefficient k0, and N is the number of observation points;

[0070] Taking the partial derivative of the function and setting it to zero, we get the following estimated value of k:

[0071]

[0072] Among them, q i is the seepage rate at the ith observation point, A i and is the seepage cross-sectional area and hydraulic gradient of the ith observation point, and the k data obtained above is substituted into the formula The ability to accurately measure the infiltration rate helps the staff to accurately grasp the rate of the seepage point location and propose timely repair plans. The data processing unit and detection algorithm are used to process and analyze the collected data, identify the seepage area, and calculate key indicators such as the seepage velocity and seepage volume. The nonlinear regression function is used to calculate the permeability coefficient k, thereby achieving more accurate measurement of the seepage point data and further improving the accuracy of detection.

[0073] Specifically, the control unit includes a controller, which generates a repair strategy based on the data measurement values ​​of the permeability degree and seepage rate of the data processing unit. The repair strategy includes selecting grouting materials, determining grouting positions and grouting amounts, wherein the grouting material is one of cement slurry and chemical slurry. The controller in the control unit automatically controls the operation of the grouting repair unit through a preset program.

[0074] Specifically, the grouting repair unit, according to the repair strategy formulated by the control unit, continuously injects the grouting material, which is a mixed liquid such as cement slurry and chemical slurry, into the seepage position through the penetration point according to the penetration degree requirements of the penetration point, and performs grouting repair at the seepage position.

[0075] Specifically, the verification unit is used to continue monitoring the seepage of the underground continuous wall after the repair is completed to ensure the repair effect, and again use the data measurement values ​​of the permeability and seepage rate of the data processing unit to determine whether the data meets the requirements, further optimize the repair strategy through the control unit, and perform repair again.

[0076] An auxiliary method for repairing seepage of ultra-deep underground continuous wall, comprising the following steps:

[0077] Step 1: Seepage monitoring: by arranging seepage monitoring sensors at different depths of the underground continuous wall, the seepage condition of the wall can be monitored in real time;

[0078] Step 2: Data collection and analysis: Collect the seepage data from each sensor, and use data analysis software to process and analyze the data to determine the specific location and severity of the seepage;

[0079] Step 3: Seepage repair strategy formulation: According to the data analysis results, formulate corresponding repair strategies, including the selection of grouting materials, determination of grouting location and grouting amount, etc.;

[0080] Step 4: Grouting repair: According to the established repair strategy, grouting repair is carried out at the seepage location to block the leakage path;

[0081] Step 5: Effect verification: After the repair is completed, continue to monitor the seepage to verify the repair effect. If it is found that the seepage problem has not been completely solved, further optimize the repair strategy and perform repair again.

[0082] The working principle of the present invention is as follows: when the device is used to assist in the repair of seepage of ultra-deep underground continuous walls, a control unit is used to control a plurality of seepage monitoring sensors in the seepage monitoring unit, the sensors may be pressure sensors, etc., a plurality of seepage points at different depths of the underground continuous wall are obtained through the seepage monitoring unit, and then the pressure data, flow data and depth data of each seepage point are respectively measured through the pressure sensor, the depth sensor and the seepage level meter, and the measured pressure data, flow data and depth data are transmitted to the data acquisition and processing unit under the control of the control unit. The data acquisition unit in the data acquisition unit is responsible for receiving the seepage data from each sensor and transmitting the data to the data processing unit. The data processing unit uses professional data analysis software to process and analyze the data. At the same time, in order to more clearly observe the severity of the seepage, the permeability index is introduced, and the F of the data measurement is measured. i With F 标The data is compared and the judgment degree of the data is sent to the control unit. At the same time, the data processing unit uses the function formula to analyze the permeability index and the permeability rate respectively, so as to improve the monitoring effect of the continuous wall seepage. The permeability coefficient is k0, and the data is estimated by minimizing the following objective function. After that, the processed data is evaluated by the control unit again. The control unit performs a two-way evaluation based on the data processing results and the data measurement values ​​of the permeability degree and the seepage rate. The evaluated data is analyzed by the data processing unit and the data is transmitted to the control unit. The control unit automatically generates a repair strategy based on the data measurement values ​​of the permeability degree and the seepage rate, including selecting The control unit can also automatically control the operation of the grouting repair unit through a preset program, and the grouting repair unit performs grouting repair at the seepage position according to the repair strategy formulated by the control unit. The grouting material can be selected from cement slurry, chemical slurry, etc. The specific selection can be adjusted according to the actual situation. After the repair is completed, the verification unit continues to monitor the seepage of the underground continuous wall to ensure the repair effect. If it is found that the seepage problem is not completely solved, the repair strategy can be further optimized by the control unit, and repair can be performed again. The present invention effectively improves the efficiency and effect of seepage repair through real-time monitoring, data analysis and precise repair, and ensures the safety and stability of the underground structure.

[0083] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A seepage repair auxiliary system for ultra-deep underground continuous walls, applied to underground continuous walls, characterized in that: It includes a seepage monitoring unit, a data acquisition unit, a data processing unit, a control unit, a grouting repair unit and a verification unit; The seepage monitoring unit is used to monitor the seepage data of the underground continuous wall in real time; The data acquisition unit is used to collect the seepage data monitored by the seepage monitoring unit; The data processing unit is used to analyze and process the seepage data to obtain the permeability index and the permeability rate; The control unit is used to formulate a seepage repair strategy and control the implementation of the repair operation according to the permeability index and permeability rate data results of the data processing unit; The grouting repair unit is used to perform grouting repair at the seepage location; The verification unit is used to continue monitoring the seepage after the repair is completed to verify the repair effect; The seepage monitoring unit includes a plurality of seepage monitoring sensors, including a pressure sensor, a depth sensor and a seepage meter, which are respectively arranged at different depths of the underground continuous wall. The seepage monitoring sensor is wirelessly connected to the data acquisition unit for real-time transmission of seepage data; The seepage monitoring unit obtains a plurality of seepage points at different depths of the underground continuous wall, and marks the plurality of seepage points as analysis objects &, &={1, 2, 3, 4, 5, ..., n}, where n is the number of analysis objects and n is a positive integer greater than 5; The seepage monitoring unit measures the pressure data of each seepage point through a pressure sensor and records it as P, P = {1, 2, 3, 4, 5, ..., w}, w is a positive integer greater than 5; measures the flow data of each seepage point through a permeameter and records it as Q, Q = {1, 2, 3, 4, 5, ..., m}, m is a positive integer greater than 5; measures the depth data of each seepage point through a depth sensor and records it as D, D = {1, 2, 3, 4, 5, ..., e}, e is a positive integer greater than 5; The data acquisition unit is used to receive the pressure data measured by each pressure sensor, the depth data measured by the depth sensor and the flow data measured by the osmometer, and transmit the multiple pressure data, depth data and flow data to the data processing unit, and the data processing unit processes and analyzes the multiple pressure data, depth data and flow data to determine the specific location and severity of the seepage; The data processing unit acquires a plurality of pressure data, depth data and flow data, the data processing unit acquires the number of seepage points, and the data processing unit acquires the time point of the first data and the time difference of the last data point to record as the detection time length; The data processing unit calculates the permeability index according to the number of seepage points, the detection time, a plurality of pressure data, depth data and flow data, wherein the calculation formula is: ； in For the The penetration index, It is The flow data of the seepage point, It is The pressure data of the seepage point, It is Depth data of seepage points, is the total number of seepage points, It is the detection time; Obtain a preset standard penetration index, and according to the preset standard penetration index and the The permeability index is used to calculate the permeability at the corresponding seepage point, where the calculation formula is: ； in, is the penetration degree, is the preset standard penetration index, For the A penetration index; Determining the magnitude of the penetration degree relative to a preset penetration degree; If the penetration degree is greater than the preset penetration degree, it is determined that the penetration at the seepage point is high; If the penetration level is not greater than the preset penetration level, it is determined that the penetration at the seepage point is low; The data processing unit obtains the seepage cross-sectional area, hydraulic gradient vector and Laplace operator of hydraulic gradient of multiple seepage points, and calculates the seepage rate according to the hydraulic gradient vector, seepage cross-sectional area, Laplace operator of hydraulic gradient and permeability coefficient, wherein the calculation formula is: ； in Seepage rate, is the permeability coefficient, is the seepage cross-sectional area, is the hydraulic gradient vector, The influence coefficient of the secondary hydraulic gradient is a constant. is the Laplace operator of the hydraulic gradient.

2. The auxiliary system for ultra-deep underground continuous wall seepage repair according to claim 1 is characterized in that: The data processing unit obtains the permeability coefficient The permeability coefficient The estimation of is optimized by nonlinear regression method using the function, and the permeability coefficient under the experimental conditions is set to , is estimated by minimizing the following objective function, where the formula is as follows: ； in, For the The seepage rate at each observation point is is the permeability coefficient, For the The seepage cross-sectional area of ​​each observation point is For the The hydraulic gradient at each observation point is The permeability coefficient is The objective function expression is: is the number of observation points.

3. The auxiliary system for ultra-deep underground continuous wall seepage repair according to claim 2 is characterized in that: The control unit includes a controller, which generates a repair strategy based on the data measurement values ​​of the permeability degree and the seepage rate of the data processing unit. The repair strategy includes selecting grouting materials, determining the grouting position and the grouting amount, wherein the grouting material is one of cement slurry and chemical slurry. The controller in the control unit automatically controls the operation of the grouting repair unit through a preset program.

4. The auxiliary system for ultra-deep underground continuous wall seepage repair according to claim 1, characterized in that: The grouting repair unit, according to the repair strategy formulated by the control unit, continuously injects the grouting material, which is a mixed liquid of cement slurry and chemical slurry, into the seepage position through the penetration point according to the penetration degree requirements of the penetration point, and performs grouting repair at the seepage position.

5. The auxiliary system for ultra-deep underground continuous wall seepage repair according to claim 4, characterized in that: The verification unit is used to continue monitoring the seepage of the underground continuous wall after the repair is completed to ensure the repair effect, and again use the data measurement values ​​of the permeability and seepage rate of the data processing unit to determine whether the data meets the requirements, further optimize the repair strategy through the control unit, and perform repair again.

6. A method for assisting the repair of seepage in ultra-deep underground continuous walls, using the system for assisting the repair of seepage in ultra-deep underground continuous walls as claimed in any one of claims 1 to 5, characterized in that: The steps include: Step 1: Seepage monitoring: by arranging seepage monitoring sensors at different depths of the underground continuous wall, the seepage condition of the wall can be monitored in real time; Step 2: Data collection and analysis: Collect the seepage data from each sensor, and use data analysis software to process and analyze the data to determine the specific location and severity of the seepage; Step 3: Seepage repair strategy formulation: According to the data analysis results, formulate corresponding repair strategies, including the selection of grouting materials, the determination of grouting location and grouting amount; Step 4: Grouting repair: According to the established repair strategy, grouting repair is carried out at the seepage location to block the leakage path; Step 5: Effect verification: After the repair is completed, continue to monitor the seepage to verify the repair effect. If it is found that the seepage problem has not been completely solved, further optimize the repair strategy and perform repair again.

Images