Combined impermeable curtain construction control method and system thereof

Abstract

The application provides a combined anti-seepage curtain construction control method and system, the method comprising: obtaining a curtain construction plan for an anti-seepage area; after site leveling and obstacle removal of the anti-seepage area are completed, a current pile site group to be constructed is taken as a target pile site group for construction according to the curtain construction plan; whether there is an abnormal area is judged according to a first detection data set and each second detection data set; when there is an abnormal area, whether there is cement stone or mortar stone is checked by drilling core sampling for at least one cement mixing pile corresponding to the abnormal area, so as to judge the grouting cementation effect; when it is judged that there is no abnormal area in the anti-seepage curtain, quality monitoring is carried out according to a monitoring strategy. Multiple detection data of a continuous time area are obtained and calculated, and on this basis, drilling core sampling is checked for the abnormal area, so that the judgment accuracy is improved.

Description

Technical Field

[0001] This application relates to the technical field of industrial process control, and in particular to a construction control method and system for a combined anti-seepage curtain. Background Technology

[0002] In the field of industrial control, the construction of seepage-proof curtains is a typical discrete-continuous hybrid manufacturing process, which can be mapped into the field layer, control layer and monitoring layer in the industrial control system. The traditional post-construction sampling inspection mode is difficult to achieve real-time closed-loop control of process quality.

[0003] With the development of technology, taking the intelligent construction and anti-seepage curtain intelligent monitoring system for grouting projects disclosed in application number CN202510634460.8 as an example, this system integrates intelligent construction and anti-seepage curtain intelligent monitoring, combining BIM and IoT technologies to achieve comprehensive detection and monitoring. Through comprehensive detection and monitoring modules, monitoring data management modules, and intelligent understanding and deduction modules, it performs real-time remote monitoring and early warning, and conducts facility and equipment status assessment and lifespan prediction. However, most of these systems use project sections or the entire curtain wall as management units, lacking industrial process control from a field industrial control perspective when used as industrial control software.

[0004] Meanwhile, the control methods used in the field focus more on reducing the cost of control hardware. Therefore, a leak point identification process using two sets of data from a single data source is employed. By detecting and comparing the resistivity between two adjacent well electrodes and between the corresponding well observation electrodes and external electrodes, the location of the curtain leak point can be determined. Taking into account the resistivity of both the curtain and the soil improves the detection accuracy. However, in practice, it was found that the accuracy of leak point identification is not ideal. Specifically, it only considers the comparison of values ​​between two points before and after precipitation. If only one of the resistivity changes significantly between two adjacent well electrodes or between the corresponding well observation electrodes and external electrodes at a certain observation point, a retest is required. Due to the limitations of a single data source, simply repeating the same method can only improve the accuracy of the identification.

[0005] Based on this, this application provides a construction control method and system for a combined seepage-proof curtain to improve existing technology and meet the needs of practical applications. Summary of the Invention

[0006] The purpose of this application is to provide a combined anti-seepage curtain construction control method and system to meet the above-mentioned requirements for foundation pit curtain construction control.

[0007] The objective of this application is achieved through the following technical solution: In a first aspect, this application provides a combined seepage-proof curtain construction control method, applied to seepage prevention treatment in foundation pit construction of water conservancy projects, the method comprising: Step S103: After completing the construction of all pile groups corresponding to the curtain construction plan, use the detection device to obtain the first set of detection data before dewatering in the foundation pit, and obtain multiple sets of second detection data in real time according to a preset cycle during the dewatering process in the foundation pit; determine whether there are abnormal areas in the anti-seepage curtain based on the first set of detection data and each of the second sets of detection data. Step S104: When there is an abnormal area, at least one cement mixing pile corresponding to the abnormal area is checked by drilling core to see if there is cement stone or mortar stone. When it is determined from the drilling core that the grouting and bonding meet the construction requirements, it is considered that there is no abnormal area. Step S105: When it is determined that there are no abnormal areas in the seepage prevention curtain, quality monitoring is carried out according to the platform attributes of each area of ​​the seepage prevention zone and the monitoring strategy.

[0008] The beneficial effects of this technical solution are that a first set of detection data is acquired using a detection device before dewatering in the foundation pit, and a second set of detection data is acquired in real time according to a preset cycle during dewatering. By dynamically comparing the continuous second set of detection data, changes in the detection data (e.g., resistivity) can reflect the integrity and leakage of the curtain, allowing for the determination of whether there are abnormal areas in the seepage prevention curtain. If an abnormal area is detected, core sampling is performed on the corresponding cement mixing piles to assess the grouting bonding effect, further ensuring the quality and integrity of the curtain. If there are no abnormal areas in the seepage prevention curtain, quality monitoring is conducted according to the platform attributes and monitoring strategy.

[0009] Compared to related technologies in industrial control, there is a lack of consideration from an industrial control perspective, and no hierarchical control architecture has been established for the positioning of pile groups, abnormal areas, and single cement mixing piles. Alternatively, in related technologies, to avoid inaccurate identification of abnormal areas due to fluctuations in detection data during drainage, only detection data before and after drainage is considered. Furthermore, core drilling can damage the seepage barrier; too many sampling points significantly impact project quality, while too few sampling points fail to achieve comprehensive inspection of the seepage barrier. The control method provided in this embodiment establishes a hierarchical control architecture for the positioning of pile groups, abnormal areas, and single cement mixing piles. By acquiring multiple sets of detection data during dewatering, the effectiveness of the seepage barrier can be monitored in real time, allowing for timely detection and handling of abnormal areas. By combining core drilling inspection with sensor-acquired detection data, and using detection data as a prerequisite for core drilling inspection, the location of leakage points in the waterproof barrier can be accurately determined. This achieves comprehensive inspection of the seepage barrier without requiring numerous core drilling points, thus improving project quality.

[0010] Preferably, before step S103, the method further includes: Step S101: Obtain the curtain construction plan for the seepage prevention area. The curtain construction plan is used to indicate the positional order of multiple consecutive pile groups and the construction sequence of each pile group. Step S102: After completing the site leveling and obstacle removal in the seepage prevention area, the pile group to be constructed is taken as the target pile group according to the curtain construction plan, and multiple cement mixing piles of the target pile group are constructed using the overlapping method of the one-hole splicing method. The platform attributes include backfill soil attributes and undisturbed soil attributes. The monitoring strategy includes: performing deformation monitoring, including horizontal displacement measurement and settlement measurement. The displacement obtained from the deformation monitoring is the change in elevation observation values ​​between two periods. The monitoring frequency for areas with backfill soil attributes is greater than the monitoring frequency for areas with undisturbed soil attributes.

[0011] The beneficial effects of this technical solution are that detailed construction planning and orderly construction steps can reduce on-site construction chaos and improve construction efficiency. The overlapping method using a single-hole connection improves the continuity and seepage prevention capacity between pile groups, reducing the risk of leakage. High-frequency monitoring can promptly detect signs of instability in the backfill area, providing early warnings and preventing construction safety accidents. Developing different monitoring frequencies based on different soil properties optimizes the allocation of monitoring resources, reduces unnecessary monitoring costs, and improves cost-effectiveness.

[0012] Preferably, step S102 includes: if a cold joint occurs during the construction of multiple cement mixing piles in the target pile group, and the duration of the cold joint is no more than 24 hours, then reinforcement is achieved by drilling one hole in the cold joint and drilling one row of cement mixing piles side by side at the cold joint. If cold joints occur during the construction of multiple cement mixing piles in the target pile group, and the duration of the cold joints is greater than 24 hours, reinforcement treatment is achieved by drilling one hole at the cold joint and drilling one row of 600 jet grouting piles side by side at the cold joint.

[0013] The beneficial effects of this technical solution are that timely reinforcement treatment ensures the continuity and structural integrity of the cement mixing piles, preventing structural weaknesses caused by cold joints. The reinforcement measures effectively prevent moisture penetration through the cold joints, enhancing the seepage prevention performance of the foundation pit and ensuring the safety of the project. The ability to flexibly select reinforcement methods based on the specific conditions of the cold joints demonstrates strong adaptability and flexibility. The rapid reinforcement method of drilling one hole or a 600mm jet grouting pile at the cold joint reduces construction delays and additional costs caused by cold joint treatment. A clear reinforcement strategy simplifies the on-site decision-making process and improves construction efficiency. Effective cold joint treatment reduces the need for later maintenance and repair, lowering long-term operating costs.

[0014] In summary, this technical solution, by adopting different reinforcement measures for cold joints under different conditions, not only improves construction efficiency and project quality, but also reduces costs and environmental risks.

[0015] Preferably, the detection device includes multiple sets of detection units, each set of detection units including an inner electrode disposed inside the curtain and an outer electrode disposed outside the curtain; the detection data obtained by the detection device before and during the dewatering process in the foundation pit are resistivity data. Step S103 includes: Before dewatering in the foundation pit, the detection device is used to detect each pile group to obtain the first set of detection data; During the dewatering process in the foundation pit, the detection device is used to detect each pile group according to a preset cycle, and multiple second detection datasets are merged and arranged in chronological order. Based on the first set of detection data and each of the second sets of detection data, determine whether there are any abnormal areas in the seepage prevention curtain.

[0016] The beneficial effects of this technical solution are that by regularly monitoring resistivity changes, leakage or seepage problems can be detected early, allowing for timely measures to prevent the problems from escalating. Resistivity monitoring provides a non-destructive testing method that can safely and reliably assess the integrity of the waterproofing curtain, ensuring project safety. Real-time monitoring and early intervention can reduce repair and maintenance costs caused by leakage, extending the project's service life. Resistivity monitoring technology can quickly and accurately identify abnormal areas, reducing unnecessary work and improving construction efficiency.

[0017] Preferably, determining whether there are abnormal areas in the seepage barrier based on the first detection data set and each of the second detection data sets includes: Each of the second detection data sets is calculated by combining the first collected second detection data set with the first detection data set according to time sequence to obtain a score value; When the score value is not within the preset abnormal score range, the next second detection data set and the first detection data set are calculated according to the collection order, and the obtained score value is compared with the abnormal score range; When the score value is within the preset abnormal score range, the pile group is divided into two new pile groups, and the second detection data collected in the next preset cycle for each new pile group is used as the new second detection data set. When the score value is within the preset abnormal score range, statistics are started and the number of statistics is incremented by one; when the second detection data of the specified number of preset cycles is obtained, if the number of statistics is greater than the preset number of statistics, it is considered that the abnormal condition is met, and there is an abnormal area in the anti-seepage curtain corresponding to the previous pile group.

[0018] The beneficial effects of this technical solution are that, through continuous monitoring and scoring calculation, abnormal areas in the seepage barrier can be accurately identified, improving detection accuracy. Timely detection of abnormal areas allows for rapid remedial measures, reducing potential engineering risks and losses. Based on real-time data and scoring calculations, more scientific and accurate engineering decisions can be made. The simplified evaluation process and data processing reduce manual intervention. In summary, by continuously monitoring resistivity changes and calculating scoring values, an effective method for detecting abnormal areas in seepage barriers is provided, offering multiple benefits such as improved detection accuracy, timely response, reduced costs, and improved engineering quality.

[0019] Preferably, the method further includes: When it is determined that there is an abnormal area in the anti-seepage curtain corresponding to the pile position group, the location of the abnormal area is obtained according to the abnormal area judgment strategy based on the number of times each pile position group is divided and the score value at each division when the second detection data of the preset cycle is completed for a specified number of times.

[0020] The beneficial effects of this technical solution lie in its ability to accurately locate abnormal areas within the seepage barrier, facilitating rapid response and effective repair, and reducing potential engineering risks. Precise location reduces unnecessary inspection and repair work, improving repair efficiency and saving time and costs. It fully utilizes resistivity detection data, enhancing the data's application value through statistical analysis of scoring values ​​and the number of divisions. Accurate anomaly area location helps optimize resource allocation, ensuring resources are concentrated where they are most needed.

[0021] Preferably, the methods for obtaining the score value include: A first detection data curve is obtained by arranging and plotting the resistivity values ​​in the first detection data set according to their spatial positions. A second detection data curve is obtained by arranging and plotting the resistivity values ​​in the second detection data set according to their spatial positions. A similarity value is obtained based on the second detection data curve and the first detection data curve, and a score value is obtained based on the similarity value.

[0022] The beneficial effect of this technical solution is that, through similarity calculation, it can more accurately monitor performance changes of the geotextile curtain and improve data reliability. The score value can serve as an indicator for early anomaly detection, promptly identifying potential problems with the geotextile curtain and thus enabling further targeted inspections.

[0023] Preferably, the step of obtaining a similarity value based on the second detection data curve and the first detection data curve, and obtaining a score value based on the similarity value, includes: A segment of curve corresponding to the detection unit group of the second detection data curve is selected from the first detection data curve as a standard curve; the standard curve is input into the curve prediction model to obtain the detection data prediction curve corresponding to the acquisition period of the second detection data curve; Obtain the similarity between the predicted curve of the detection data and the second detection data curve; obtain the reinforcement coefficient corresponding to the second detection data curve, the reinforcement coefficient being used to indicate the degree of influence of the reinforcement treatment of the cold joint on the seepage prevention performance; The similarity between the predicted curve of the detection data and the second detection data curve is adjusted according to the reinforcement coefficient, and the adjusted value is used as the score value.

[0024] The beneficial effects of this technical solution are that, by using predictive models and reinforcement coefficients, the scoring values ​​can more accurately reflect the actual seepage prevention performance, including special circumstances during construction. Quantifying the impact of reinforcement treatments, especially in highly permeable sandy soil layers, allows for better management of project risks. Accurate assessment helps in the rational allocation of resources, avoiding unnecessary additional reinforcement, thereby controlling project costs.

[0025] Secondly, this application also provides a combined seepage-proof curtain construction control system, including: The detection device includes multiple sets of detection units, each set of detection units including an inner electrode located inside the curtain and an outer electrode located outside the curtain; the detection data acquired by the detection device before and during the dewatering process in the foundation pit are resistivity data. A controller, electrically connected to the detection device, is configured to perform the following steps: After completing the construction of all pile groups corresponding to the curtain wall construction plan, the detection device is used to obtain the first set of detection data before the dewatering in the foundation pit, and multiple sets of second detection data are obtained in real time according to a preset cycle during the dewatering process in the foundation pit; based on the first set of detection data and each of the second sets of detection data, it is determined whether there are any abnormal areas in the anti-seepage curtain wall; When there is an abnormal area, at least one cement mixing pile corresponding to the abnormal area is checked by core drilling to see if there is cement stone or mortar stone. When the core drilling determines that the grouting and bonding meet the construction requirements, it is considered that there is no abnormal area. When it is determined that there are no abnormal areas in the seepage prevention curtain, quality monitoring is carried out according to the platform attributes of each area of ​​the seepage prevention zone and the monitoring strategy.

[0026] Preferably, before acquiring the first detection data set and the second detection data set, the controller is further configured to perform the following steps: Obtain a curtain construction plan for the seepage prevention area, the curtain construction plan being used to indicate the positional order of multiple consecutive pile groups and the construction sequence of each pile group; After completing the site leveling and obstacle removal in the seepage prevention area, the pile group to be constructed is taken as the target pile group according to the curtain construction plan. Multiple cement mixing piles of the target pile group are constructed using the overlapping method of the interlocking one hole. Attached Figure Description

[0027] The present application will be further described below with reference to the accompanying drawings and embodiments.

[0028] Figure 1 This is a schematic flowchart of a combined anti-seepage curtain construction control method provided in an embodiment of this application.

[0029] Figure 2a This is a schematic diagram of cold seam treatment with a duration of no more than 24 hours provided in the embodiments of this application.

[0030] Figure 2b This is a schematic diagram of cold seam treatment with a duration of more than 24 hours provided in the embodiments of this application.

[0031] Figure 3 This is a flowchart illustrating the abnormal region determination process provided in an embodiment of this application.

[0032] Figure 4 This is a schematic diagram of the process for obtaining score values ​​provided in an embodiment of this application. Detailed Implementation

[0033] The technical solutions in this application will be described below with reference to the accompanying drawings and specific embodiments. It should be noted that, without conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments.

[0034] In this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any implementation or design described as "exemplary" or "for example" in this application should not be construed as being better or more advantageous than other implementations or designs. Specifically, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0035] The descriptions of "first," "second," etc., appearing in the embodiments of this application are for illustrative purposes and to distinguish the objects being described. They have no order and do not indicate any special limitation on the quantity in the embodiments of this application, nor do they constitute any limitation on the embodiments of this application.

[0036] In related technologies, data collected from the electrodes inside and outside the foundation pit, or from the curtain itself, can be obtained in various ways as detection data before and after dewatering within the foundation pit. For example, test tubes and test electrodes are prepared, and the test electrodes are fixed at intervals along the length of the test tube. After the water-stop curtain is cured, the data collection device is used to conduct the first test and calculate the resistivity data of the water-stop curtain before dewatering. After dewatering, the data collection device is used to conduct a second test and calculate the resistivity data of the water-stop curtain after dewatering. The resistivity data of the water-stop curtain before and after dewatering is processed using a data analysis device to obtain a resistivity distribution cloud map of the water-stop curtain before and after dewatering, and then a three-dimensional distribution cloud map of the water-stop curtain saturation is calculated. Similarly, in this technical solution, based on the three-dimensional distribution cloud map of the water-stop curtain saturation, weak points in the construction of the water-stop curtain are identified by comparison, and a third test is conducted in the same manner for areas with potential seepage risks. That is to say, the third test ignores local areas where potential seepage risks were not previously discovered.

[0037] In other words, related technologies employ various methods to install multiple sets of sensors on both sides or the curtain, acquiring and comparing detection data from two time points. Points with abrupt changes in detection data from multiple sensor readings are identified as suspected leakage points. However, even to improve detection accuracy, only retesting (or a third test) is considered. This means that the limitations of the single data source corresponding to the sensors in these technical solutions fail to account for the limited improvement in accuracy that retesting using the same detection method can provide. Consequently, the dynamic changes in sensor data over time are not fully captured, leading to the problem of missed leakage points.

[0038] This is because related technologies are primarily cost-conscious, hence the practice of conducting repeated inspections using the same method after an initial assessment of potential seepage hazards. This approach ensures uniformity of operator requirements and low cost. However, the initial test result can lead to operator reliance on that result, affecting their sense of responsibility in using the same methods and causing them to overlook the importance of further detailed inspections. If the potential seepage hazard is not addressed during construction control, it can result in greater losses. Therefore, this application provides a combined seepage prevention curtain construction control method and system. This method acquires and calculates multiple test data points over a continuous time period throughout the entire dewatering process within the foundation pit, avoiding the omission or misjudgment of abnormal areas caused by fluctuations in data collection at a single time point. The abnormal areas obtained through this method are more accurate, and only on this basis are core drilling and retesting conducted in different ways to further improve the accuracy of the assessment.

[0039] The technical solutions of this application will now be described with reference to the accompanying drawings and specific embodiments. It should be noted that, without conflict, the various embodiments or technical features described below can be arbitrarily combined to form new embodiments. The control method will be described first, followed by the system. Example

[0040] See Figure 1 , Figure 1 This is a schematic flowchart of a combined anti-seepage curtain construction control method provided in an embodiment of this application.

[0041] This application provides a combined seepage-proof curtain construction control method, applied to seepage prevention treatment in foundation pit construction of water conservancy projects. The method includes: Step S101: Obtain the curtain construction plan for the seepage prevention area. The curtain construction plan indicates the positional sequence of multiple consecutive pile groups and the construction order of each pile group, and may include detailed design parameters (depth, specifications, and construction order) for each pile group. In practical applications, computer-aided design software can be used to generate construction drawings corresponding to the construction plan. Each pile group corresponds to multiple consecutive piles, and each pile corresponds to the construction of one cement-mixing pile.

[0042] Step S102: After completing the site leveling and obstacle removal in the seepage prevention area, the current pile group to be constructed is designated as the target pile group according to the curtain construction plan. Multiple cement mixing piles in the target pile group are constructed using an overlapping method with a single-hole connection. Site leveling and obstacle removal in the seepage prevention area can involve first clearing obstacles and leveling the site along the seepage prevention curtain construction route, and compacting if necessary to ensure foundation stability.

[0043] The construction process of cement mixing piles can be as follows: Surveying and setting out, accurately marking the locations of the jet grouting pile holes, and using bamboo sticks for positioning, one stick per pile. Determining the hole positions, marking them on the construction axis, assigning pile numbers, hole numbers, and serial numbers, and measuring the ground elevation of each hole opening based on the benchmark points. Then, according to the on-site layout, aligning the drill rod head with the center of the hole position. After the drilling rig is in place, horizontal correction must be performed to ensure that the drill rod axis is vertically aligned with the center of the borehole, guaranteeing that the verticality deviation of the borehole does not exceed a predetermined value (e.g., 0.5%). During the straightening and correction check, a spirit level is used to check from two vertical directions. After verification, a low-pressure (e.g., 0.5MPa) water jetting test is conducted to check whether the nozzle is unobstructed and whether the pressure is normal, determining the construction technical parameters. Then, pilot holes are drilled, spraying water and air to form a grout channel, with the water pressure controlled at 5-10MPa. The pilot hole placement is determined based on geological survey data and the number of drill rods used in construction. After drilling the pilot hole, lower the grouting pipe to the designed depth, stop drilling, and keep rotating. Increase the pressure and air pressure of the high-pressure mud pump to the construction parameter values. After grouting the bottom for 30 seconds, rotate while grouting and simultaneously raise the drill rod.

[0044] Step S103: After completing the construction of all pile groups corresponding to the curtain wall construction plan, a first set of detection data before dewatering in the foundation pit is acquired using a detection device, and multiple second sets of detection data are acquired in real time according to a preset cycle during the dewatering process in the foundation pit. Based on the first set of detection data and each of the second sets of detection data, it is determined whether there are any abnormal areas in the seepage prevention curtain. In specific applications, multiple sets of electrodes can be set for each pile group. Each set of electrodes includes a positive electrode and a negative electrode, which are respectively set on the inner and outer sides of the curtain and connected to a resistance acquisition device to collect the corresponding electrical signals. Each set of electrodes can correspond to one jet grouting pile hole.

[0045] Step S104: When there is an abnormal area, at least one cement mixing pile corresponding to the abnormal area is checked for cement stone or mortar stone by drilling core sampling. When the grouting bonding is determined to meet the construction requirements based on the core sampling, it is considered that there is no abnormal area.

[0046] In practical applications, detected abnormal areas are marked and core samples are taken. A drilling rig is used to drill core samples from the cement mixing piles corresponding to the abnormal areas. The cement aggregate or mortar aggregate in the core samples is examined, and the grouting bonding effect is manually evaluated. If the grouting bonding effect does not meet the requirements, mixing piles are added or jet grouting piles are used for reinforcement. Then, S103 is repeated until there are no abnormal areas in the seepage prevention curtain.

[0047] Step S105: When it is determined that there are no abnormal areas in the seepage barrier, quality monitoring is carried out according to the platform attributes of each area of ​​the seepage barrier and the monitoring strategy. That is to say, if S103 determines that there are no abnormal areas in the seepage barrier, or if S103 determines that there are abnormal areas in the seepage barrier but after a re-inspection in S104, no abnormal areas are found, then S105 is executed.

[0048] In practical applications, after confirming that there are no abnormal areas, the construction of the seepage prevention curtain is completed. A monitoring strategy is developed based on the platform properties (backfill or undisturbed soil), and a final quality acceptance is conducted. Because backfill areas may be more prone to leakage, more frequent monitoring is required for backfill areas.

[0049] The construction control method provided in this embodiment can be used as industrial real-time control software and executed by the controller mentioned in Embodiment 2. The controller, for example, is a distributed control system controller, whose distributed I / O can deploy detection unit groups in different pile location areas, achieving data aggregation and collaborative control through a control network.

[0050] In this technical solution, a detailed curtain construction plan is formulated based on the characteristics of the seepage prevention area, which helps to carry out construction in an orderly manner and ensures that each area is treated in the predetermined order. After the site leveling and obstacle removal are completed, the pile group to be constructed is selected as the target pile group according to the construction plan, and the cement mixing piles are constructed using the interlocking one-hole method, which can ensure the continuity and overlap quality between piles, thereby improving the seepage prevention effect. Before dewatering in the foundation pit, a first set of detection data is obtained using a detection device, and a second set of detection data is obtained in real time according to a preset cycle during the dewatering process. By dynamically comparing the continuous second set of detection data, since changes in detection data (such as resistivity and temperature) can reflect the integrity and leakage of the curtain, it is possible to determine whether there are abnormal areas in the seepage prevention curtain. If an abnormal area is detected, the grouting bonding effect is evaluated by drilling and core sampling of the cement mixing piles corresponding to the abnormal area, further ensuring the quality and integrity of the curtain. If there are no abnormal areas in the seepage prevention curtain, quality monitoring is carried out according to the platform attributes and monitoring strategy (and the construction of the combined seepage prevention curtain is completed).

[0051] Compared to related technologies in industrial control, there is a lack of consideration from the perspective of process control in industrial control, and no hierarchical control architecture is established for the positioning of pile groups, abnormal areas, and single cement mixing piles. Alternatively, in related technologies, to avoid inaccurate identification of abnormal areas due to fluctuations in detection data during drainage, only detection data before and after drainage are considered. Furthermore, the use of core drilling for inspection can damage the seepage barrier; too many sampling points have a significant impact on project quality, while too few sampling points cannot achieve the purpose of overall inspection of the seepage barrier. The control method provided in this embodiment establishes a hierarchical control architecture for the positioning of pile groups, abnormal areas, and single cement mixing piles. Through detailed construction plans and orderly construction steps, it reduces on-site construction chaos and improves construction efficiency during process control. The use of a single-hole overlapping method can improve the continuity and seepage prevention capacity between pile groups and reduce the risk of leakage. By acquiring multiple sets of detection data during the dewatering process, the effectiveness of the seepage barrier can be monitored in real time, and abnormal areas can be detected and addressed promptly. By combining core drilling inspection with sensor-acquired detection data, and using the detection data as a prerequisite for core drilling inspection, the location of leakage points in the waterproof curtain can be accurately determined. This achieves the purpose of overall inspection of the waterproof curtain without requiring too many core drilling points, thus improving the quality of the project.

[0052] In some embodiments, the platform attributes include backfill soil attributes and undisturbed soil attributes, and the monitoring strategy includes: performing deformation monitoring including horizontal displacement measurement and settlement measurement, wherein the displacement obtained from the deformation monitoring is the change in elevation observation values ​​between two periods, and the monitoring frequency for areas with backfill soil attributes is greater than the monitoring frequency for areas with undisturbed soil attributes.

[0053] The soil types in the foundation pit construction area are divided into backfill soil and undisturbed soil. Backfill soil refers to soil that has been artificially filled in, while undisturbed soil refers to naturally formed soil layers. Displacement calculation involves comparing the changes in elevation observations over two periods to determine the displacement, thereby assessing soil stability. For areas with backfill soil, due to its potential instability, a higher monitoring frequency is set to promptly identify and address potential problems. For areas with undisturbed soil, due to its relative stability, a lower monitoring frequency can be set.

[0054] For horizontal displacement measurement, a combination of the following methods and tools can be used: a total station, a high-precision instrument for measuring horizontal displacement, which can accurately measure angles and distances to determine the horizontal displacement of the observation point; a GPS measurement system, which provides real-time three-dimensional coordinate data for monitoring the horizontal displacement of large areas or structures; an inclinometer, which measures changes in inclination within a structure or soil to infer horizontal displacement; and a laser scanner, which scans the surface of a structure and monitors horizontal displacement by comparing scan results at different times. For settlement measurement, the following methods and tools can be used: a hydrostatic level to continuously monitor the relative settlement of multiple points. By comprehensively using the above methods and tools, the horizontal displacement and settlement of structures such as earth-rock cofferdams or foundation pits can be monitored comprehensively and accurately, providing crucial data support for engineering safety.

[0055] Therefore, this embodiment, through high-frequency monitoring, can promptly detect signs of instability in the backfill area, provide early warnings, and prevent construction safety accidents. Developing different monitoring frequencies based on different soil properties can optimize the allocation of monitoring resources, reduce unnecessary monitoring costs, and improve cost-effectiveness.

[0056] See Figure 2a and Figure 2b , Figure 2a This is a schematic diagram of cold joint treatment with a duration of no more than 24 hours provided in the embodiments of this application. Figure 2b This is a schematic diagram of cold seam treatment with a duration of more than 24 hours provided in the embodiments of this application.

[0057] In some embodiments, step S102 includes: If cold joints occur during the construction of multiple cement mixing piles in the target pile group, and the duration of the cold joints is no more than 24 hours, reinforcement treatment can be achieved by drilling one hole in the cold joint and drilling one row of cement mixing piles in parallel at the cold joint. If cold joints occur during the construction of multiple cement mixing piles in the target pile group, and the duration of the cold joints is greater than 24 hours, reinforcement treatment is achieved by drilling one hole at the cold joint and drilling one row of 600 jet grouting piles side by side at the cold joint.

[0058] Cold joints refer to gaps created during concrete pouring due to construction interruptions caused by various reasons (such as discontinuous pouring or untimely concrete supply). Different reinforcement measures are adopted depending on the duration of the cold joint. If the cold joint duration is no more than 24 hours, reinforcement is achieved by drilling one hole over the cold joint and installing three parallel cement-mixed piles. If the cold joint duration exceeds 24 hours, 600mm jet grouting piles are used for reinforcement. Specifically, for cold joints no more than 24 hours old, reinforcement is achieved by drilling one hole over the cold joint and installing one new cement-mixed pile parallel to it, which can quickly cover the cold joint area and ensure the continuity and integrity of the structure. For cold joints exceeding 24 hours old, 600mm jet grouting piles are used for reinforcement. This technology uses high-pressure jet grout to fill and consolidate soil particles, forming a robust impermeable wall. The combined impermeable curtain formed by the above methods has the following beneficial effects: Timely reinforcement treatment ensured the continuity and structural integrity of the cement-mixing piles, preventing structural weaknesses caused by cold joints. The reinforcement measures effectively prevented moisture penetration through the cold joints, enhancing the seepage prevention performance of the foundation pit and ensuring project safety. The reinforcement method was flexibly selected based on the specific conditions of the cold joints, demonstrating strong adaptability and flexibility. The rapid reinforcement method of drilling one hole or a 600mm jet grouting pile at the cold joint reduced construction delays and additional costs caused by cold joint treatment. A clear reinforcement strategy simplified the on-site decision-making process and improved construction efficiency. Effective cold joint treatment reduced the need for later maintenance and repairs, lowering long-term operating costs.

[0059] In summary, this technical solution, by adopting different reinforcement measures for cold joints under different conditions, not only improves construction efficiency and project quality, but also reduces costs and environmental risks.

[0060] In some embodiments, the detection device includes multiple sets of detection unit groups, each set including an inner electrode disposed inside the curtain (inside the foundation pit) and an outer electrode disposed outside the curtain (outside the foundation pit). The detection data acquired by the detection device before and during precipitation in the foundation pit are resistivity data. In specific applications, the closest distance between the inner and outer electrodes and the curtain is not less than 1 meter and not more than 2.5 meters, and they are the positive and negative electrodes, respectively. Multiple pairs of test holes can be symmetrically arranged on the inner and outer sides of the curtain with the curtain as the center line, and each pair of test holes is used to accommodate one set of detection unit groups.

[0061] See Figure 3 , Figure 3 This is a flowchart illustrating the abnormal region determination provided in an embodiment of this application. Step S103 includes: S201, Before dewatering in the foundation pit, the detection device is used to detect each pile group to obtain the first set of detection data; S202, During the dewatering process in the foundation pit, the detection device is used to detect each pile group according to a preset cycle, and multiple second detection datasets are merged and arranged in chronological order. S203, based on the first detection data set and each of the second detection data sets, determine whether there are abnormal areas in the seepage prevention curtain.

[0062] In practical applications, preset cycles are, for example, 15 minutes, 25 minutes, 35 minutes, 40 minutes, etc., and this application does not limit them. By comparing the first set of detection data (as baseline data) and the second set of detection data (as real-time data), the change in resistivity is analyzed to determine whether there are abnormal areas such as leakage or seepage in the waterproof curtain. If the change in resistivity exceeds a preset threshold or shows an abnormal pattern, it indicates that there may be a leakage or seepage problem, requiring further inspection and handling.

[0063] Therefore, by regularly monitoring resistivity changes, leakage or seepage problems can be detected early, allowing for timely intervention to prevent the problems from escalating. Resistivity monitoring provides a non-destructive testing method that can safely and reliably assess the integrity of the waterproofing curtain, ensuring project safety. Real-time monitoring and early intervention can reduce repair and maintenance costs caused by leakage, extending the project's service life. Resistivity monitoring technology can quickly and accurately identify abnormal areas, reducing wasted effort and improving construction efficiency.

[0064] In other embodiments, the detection device includes multiple sets of temperature measuring instruments. Each set of temperature measuring instruments includes a temperature sensor disposed in a temperature measuring hole inside the curtain, used to acquire temperature data as detection data to form a detection data set (a first detection data set and a second detection data set). The corresponding step S103, by periodically monitoring changes in temperature data, can also detect leakage or seepage problems early, allowing for timely measures to prevent the problem from escalating.

[0065] In some embodiments, determining whether there are abnormal areas in the seepage barrier based on the first detection data set and each of the second detection data sets includes: Each of the second detection data sets is calculated by combining the first collected second detection data set with the first detection data set according to time sequence to obtain a score value; When the score value is not within the preset abnormal score range, the next second detection data set and the first detection data set are calculated according to the collection order, and the obtained score value is compared with the abnormal score range; When the score value is within the preset abnormal score range, the pile group is divided into two new pile groups, and the second detection data collected in the next preset cycle for each new pile group is used as the new second detection data set. When the score value is within the preset abnormal score range, statistics are started and the number of statistics is incremented by one; when the second detection data of the specified number of preset cycles is obtained, if the number of statistics is greater than the preset number of statistics, it is considered that the abnormal condition is met, and there is an abnormal area in the anti-seepage curtain corresponding to the previous pile group.

[0066] In practical applications, when the score value is not within the preset abnormal score range, the next second detection data set and the first detection data set are calculated according to the collection order, and the obtained score value is compared with the abnormal score range until all second detection data sets have been calculated, or until the number of statistical counts is greater than the preset number of statistical counts.

[0067] In this technical solution, before dewatering in the foundation pit, an initial set of detection data (the first set of detection data) for each pile group is acquired using a detection device as baseline data. During dewatering in the foundation pit, detection data (the second set of detection data) for each pile group is acquired in real time according to a preset cycle. The first set of second detection data is compared and calculated with the first set of detection data to obtain a score value, which reflects the degree of resistivity change. The obtained score value is compared with a preset abnormal score interval. If the score value is not within the abnormal score interval, it indicates that the seepage prevention curtain of the current pile group is normal. If the score value is not within the abnormal score interval, the calculation is continued with the next set of second detection data and the first set of detection data in the acquisition sequence until an anomaly is found or all data is evaluated. If the score value is within the preset abnormal score interval, the pile group is divided into two new pile groups. For each new pile group, the second detection data acquired in the next preset cycle is used as the new second set of detection data for further monitoring and evaluation. When the score value is within the abnormal score interval, statistics are started and the count is incremented by one. After acquiring the second set of test data for a specified number of preset cycles, if the number of statistical counts exceeds the preset number of statistical counts, it is considered to meet the abnormal conditions, indicating that there are abnormal areas in the seepage prevention curtain corresponding to the previously identified pile group. The preset number of statistical counts is, for example, 3, 4, 6, etc.

[0068] Therefore, by continuously monitoring and calculating scoring values, abnormal areas in the seepage barrier can be accurately identified, improving detection accuracy. Timely detection of abnormal areas allows for rapid remedial measures, reducing potential engineering risks and losses. Based on real-time data and scoring value calculations, more scientific and accurate engineering decisions can be made. The simplified evaluation process and data processing reduce human intervention. In summary, by continuously monitoring resistivity changes and calculating scoring values, an effective method for detecting abnormal areas in seepage barriers is provided, offering multiple benefits such as improved detection accuracy, timely response, reduced costs, and improved engineering quality.

[0069] In some embodiments, the method of dividing a pile group into two new pile groups includes: When there is no cold joint reinforcement in the pile group, the piles in the pile group are divided into two new pile groups in half according to the order of their positions. When some of the pile locations in a pile group are reinforced with cold joints, the pile locations with reinforcement associations and the pile locations without reinforcement associations are divided into two new pile groups respectively. When all pile positions in a pile group are associated pile positions with cold joint reinforcement, they are divided into two new pile groups in half according to their positional arrangement.

[0070] By subdividing pile groups according to the cold joint reinforcement status, refined management of the construction area was achieved, making quality control more targeted and effective. Specifically, pile groups without cold joint reinforcement were divided in half, simplifying the process, improving efficiency, and ensuring uniformity and continuity. Pile groups with cold joint reinforcement were specially divided to ensure that reinforcement measures were given priority attention, specifically addressing weak points in the seepage prevention curtain. By differentiating between piles with and without cold joints, the seepage prevention effect can be enhanced more effectively, especially in areas with cold joint reinforcement, ensuring the overall performance of the seepage prevention curtain.

[0071] In some embodiments, the method further includes: When it is determined that there is an abnormal area in the anti-seepage curtain corresponding to the pile position group, the location of the abnormal area is obtained according to the abnormal area judgment strategy based on the number of times each pile position group is divided and the score value at each division when the second detection data of the preset cycle is completed for a specified number of times.

[0072] When an abnormal area is identified in the cut-off curtain corresponding to a pile group, the abnormal area location acquisition process is initiated. During the second data acquisition process, which involves completing a predetermined number of pre-set detection cycles, the number of times each pile group is divided and the score value for each division are recorded. Based on the abnormal area identification strategy, and combining the number of divisions and score values ​​for each pile group, the specific location of the abnormal area is analyzed and determined. The abnormal area identification strategy may include, for example, any one of statistical analysis, pattern recognition, or machine learning algorithms, to identify abnormal patterns in resistivity changes. Using the above strategies, combined with the spatial distribution of resistivity changes, the location of the abnormal area is accurately pinpointed, providing precise guidance for subsequent inspection and repair.

[0073] Therefore, accurately locating abnormal areas within the seepage barrier facilitates rapid response and effective repair, reducing potential engineering risks. Precise location reduces unnecessary inspection and repair work, improving repair efficiency and saving time and costs. Full utilization of resistivity detection data, through statistical analysis of scoring values ​​and the number of divisions, enhances the data's application value. Accurate anomaly area location helps optimize resource allocation, ensuring resources are concentrated where they are most needed.

[0074] See Figure 4 , Figure 4 This is a schematic diagram of the process for obtaining score values ​​provided in an embodiment of this application.

[0075] In some embodiments, the methods for obtaining the score value include: S301, Obtain the first detection data curve, which is obtained by arranging and plotting the resistivity values ​​in the first detection data set according to their spatial positions; S302, Obtain the second detection data curve, which is obtained by arranging and plotting the resistivity values ​​in the second detection data set according to their spatial positions; S303, obtain a similarity value based on the second detection data curve and the first detection data curve, and obtain a score value based on the similarity value.

[0076] In this technical solution, resistivity values ​​for each pile group are collected using a detection device before dewatering in the foundation pit. These values ​​constitute the first detection data set. This data is arranged spatially (e.g., along the construction sequence of the cement mixing piles) and plotted as a first detection data curve. During dewatering in the foundation pit, resistivity values ​​for each pile group are collected at preset intervals to form a second detection data set, which is also plotted as a second detection data curve. In practical applications, the Dynamic Time Warp (DTW) algorithm can be used to obtain similarity scores. Based on the similarity calculation results, a score value is obtained. The score value reflects the degree of similarity between the second and first detection data curves and can be used to evaluate the performance changes of the seepage barrier.

[0077] Therefore, by calculating similarity, the performance changes of the geotextile curtain can be monitored more accurately, improving the reliability of the data. The score can serve as an indicator for early anomaly detection, enabling the timely identification of potential problems with the geotextile curtain and facilitating further targeted inspections.

[0078] In some embodiments, obtaining a similarity value based on the second detection data curve and the first detection data curve, and obtaining a score value based on the similarity value, includes: A segment of curve corresponding to the detection unit group of the second detection data curve is selected from the first detection data curve as a standard curve; the standard curve is input into the curve prediction model to obtain the detection data prediction curve corresponding to the acquisition period of the second detection data curve; Obtain the similarity between the predicted curve of the detection data and the second detection data curve; obtain the reinforcement coefficient corresponding to the second detection data curve, the reinforcement coefficient being used to indicate the degree of influence of the reinforcement treatment of the cold joint on the seepage prevention performance; The similarity between the predicted curve of the detection data and the second detection data curve is adjusted according to the reinforcement coefficient, and the adjusted value is used as the score value.

[0079] In practical applications, a correspondence table between the assigned values ​​and the scoring values ​​can be obtained. The assigned values ​​are values ​​indicating similarity, such as 80% and 89%, while the scoring values ​​are segmented scores like A, B, and C. The scoring value is obtained based on the correspondence table and the adjusted assigned values. In this case, the preset abnormal scoring range can be "not greater than score B," and the area not greater than score B is considered the abnormal area.

[0080] In this embodiment, a segment of the curve corresponding to the detection unit group of the second detection data curve is selected from the first detection data curve as a standard curve to ensure that the comparison benchmark is obtained under the same conditions. The standard curve is input into the curve prediction model to obtain the detection data prediction curve corresponding to the acquisition period of the second detection data curve. The similarity between the detection data prediction curve and the second detection data curve is obtained, as well as the reinforcement coefficient corresponding to the second detection data curve. This coefficient reflects the degree of influence of cold joint reinforcement treatment on seepage prevention performance. The reinforcement coefficient can be determined by experts (technicians) based on factors such as the properties of the reinforcement material, the effect of the reinforcement process, historical data, and experience. In specific applications, the reinforcement coefficient for no cold joint problem can be 1, and the reinforcement coefficient for cold joint problem is no greater than 1 and no less than 0.85. The similarity value between the detection data prediction curve and the second detection data curve is adjusted according to the reinforcement coefficient. The adjustment may include weighting or scaling, for example, multiplying the reinforcement coefficient by the similarity value to obtain the adjusted value, so as to reflect the actual effect of the reinforcement treatment. The adjusted similarity value is used as the score, which takes into account the effects of resistivity changes and reinforcement treatment, providing a comprehensive assessment of seepage prevention performance.

[0081] Therefore, by using predictive models and reinforcement coefficients, the scoring values ​​can more accurately reflect the actual seepage prevention performance, including special circumstances during construction. Quantifying the impact of reinforcement treatments, especially in highly permeable sandy soil layers, allows for better management of project risks. Accurate assessments help to allocate resources rationally, avoid unnecessary additional reinforcement, and thus control project costs.

[0082] The training process for the curve prediction model is as follows: Obtain a scoring training set, which includes multiple training data sets. Each training data set includes a standard curve of a training sample and multiple variation curves of the corresponding sample at different preset intervals. For each of the training data, perform the following processing: The standard curve of the training sample is input into a preset deep learning model to obtain multiple prediction curves corresponding to the standard curve of the training sample at preset intervals of different numbers. Based on the change curves and prediction curves of the training sample at preset intervals of the same number of numbers, it is detected whether the preset training termination condition is met. If yes, the trained deep learning model is used as the curve prediction model. If no, the deep learning model is trained again using the next training data.

[0083] It can be assumed that the curve prediction model is trained on a large amount of training data and can predict the corresponding output data for different input data. By designing and establishing an appropriate number of neural computing nodes and a multi-layered computational hierarchy, and selecting suitable input and output layers, a pre-defined deep learning model can be obtained. Through the learning and optimization of this pre-defined deep learning model, a functional relationship from input to output can be established. Although it cannot find a 100% accurate functional relationship between input and output, it can approximate the real-world correlation as closely as possible. The curve prediction model trained in this way can obtain the predicted curves for various durations under conditions without penetration.

[0084] As can be understood from the above embodiments, the seepage barrier construction control method provided in this example firstly ensures the continuity of construction and the integrity of the structure through detailed construction planning and orderly pile group construction. To address potential cold joint issues during construction, the method provides specific reinforcement measures, effectively improving seepage prevention performance whether it's parallel pile driving within 24 hours or jet grouting reinforcement exceeding 24 hours. Furthermore, by monitoring resistivity changes in real time, combined with a prediction model and reinforcement coefficient, the method achieves dynamic evaluation of the seepage barrier performance. This data-driven evaluation method not only improves monitoring accuracy but also provides a scientific basis for construction decisions. By adjusting the similarity score, the method can reflect the actual impact of reinforcement treatment on seepage prevention performance, further optimizing resource allocation and construction efficiency. Finally, by comprehensively evaluating the similarity of the detection data curves and the reinforcement coefficient, the method provides a comprehensive method for evaluating abnormal areas, facilitating the rapid location and handling of abnormal areas.

[0085] For ease of understanding, as an example, a combined anti-seepage curtain construction control method is provided, which is applied to the anti-seepage treatment of foundation pit construction in water conservancy projects. The detection device includes multiple sets of detection units, each set of detection units includes an inner electrode set on the inside of the curtain and an outer electrode set on the outside of the curtain; the detection data obtained by the detection device before and during the dewatering process in the foundation pit are resistivity data.

[0086] The method includes: R101, Obtain the curtain construction plan for the seepage prevention area, the curtain construction plan is used to indicate the position sequence of multiple consecutive pile groups and the construction sequence of each pile group. R102, after completing the site leveling and obstacle removal in the seepage prevention area, according to the curtain wall construction plan, the current pile group to be constructed is taken as the target pile group, and multiple cement mixing piles of the target pile group are constructed using the overlapping method of one-hole splicing; if a cold joint appears during the construction of multiple cement mixing piles of the target pile group, and the duration of the cold joint is no more than 24 hours, reinforcement is achieved by drilling one hole at the cold joint and driving one row of cement mixing piles side by side at the cold joint; if a cold joint appears during the construction of multiple cement mixing piles of the target pile group, and the duration of the cold joint is more than 24 hours, reinforcement is achieved by drilling one hole at the cold joint and driving one row of 600 jet grouting piles side by side at the cold joint. R103, after completing the construction of all pile groups corresponding to the curtain wall construction plan, uses a detection device to acquire the first set of detection data before dewatering in the foundation pit, and acquires multiple second sets of detection data in real time according to a preset cycle during the dewatering process in the foundation pit; each second set of detection data is calculated by combining the first second set of detection data with the first set of detection data in chronological order to obtain a score value; when the score value is not within the preset abnormal score range, the next second set of detection data and the first set of detection data are calculated according to the acquisition order, and the obtained score value is compared with the abnormal score range; when the score value is within the preset abnormal score range, the pile... The pile group is divided into two new pile groups. For each new pile group, the second test data collected in the next preset cycle is used as the new second test data set. When the score value is within the preset abnormal score range, statistics are started and the number of statistics is incremented by one. When the second test data of the specified number of preset cycles is obtained, if the number of statistics is greater than the preset number of statistics, it is considered to meet the abnormal conditions, and there is an abnormal area in the anti-seepage curtain corresponding to the previous pile group. When there is an abnormal area, at least one cement mixing pile corresponding to the abnormal area is checked by drilling core to see if there is cement stone or mortar stone. When it is determined from the drilling core that the grouting cementation meets the construction requirements, it is considered that there is no abnormal area. R104, when it is determined that there is an abnormal area in the anti-seepage curtain corresponding to the pile position group, the location of the abnormal area is obtained according to the abnormal area judgment strategy based on the number of divisions of each pile position group and the score value at each division when the second detection data of the preset cycle is completed for a specified number of times. R105, when it is determined that there are no abnormal areas in the seepage prevention curtain, quality monitoring is carried out according to the platform attributes of each area of ​​the seepage prevention area and the monitoring strategy. The platform attributes include backfill soil attributes and undisturbed soil attributes. The monitoring strategy includes: performing deformation monitoring including horizontal displacement measurement and settlement measurement. The displacement obtained from deformation monitoring is the change in elevation observation values ​​between two periods. The monitoring frequency for areas with backfill soil attributes is greater than the monitoring frequency for areas with undisturbed soil attributes.

[0087] The methods for obtaining the rating values ​​include: R201, Obtain the first detection data curve, which is obtained by arranging and plotting the resistivity values ​​in the first detection data set according to their spatial positions; R202, obtain the second detection data curve, which is obtained by arranging and plotting the resistivity values ​​in the second detection data set according to their spatial positions; R203: Select a segment of curve from the first detection data curve that corresponds to the detection unit group of the second detection data curve as a standard curve; input the standard curve into the curve prediction model to obtain the detection data prediction curve corresponding to the acquisition period of the second detection data curve; R204, obtain the similarity between the predicted curve of the detection data and the second detection data curve; obtain the reinforcement coefficient corresponding to the second detection data curve, the reinforcement coefficient is used to indicate the degree of influence of the reinforcement treatment of the cold joint on the seepage prevention performance; R205, adjust the similarity value between the predicted curve of the detection data and the second detection data curve according to the reinforcement coefficient, and use the adjusted value as the score value.

[0088] In summary, this application provides a construction control method for a combined seepage-proof curtain, applied to seepage prevention in foundation pit construction of hydraulic engineering projects. The control process of this technical solution involves acquiring and calculating multiple detection data points over a continuous time period throughout the entire dewatering process within the foundation pit. This avoids the omission or misjudgment of abnormal areas caused by fluctuations in data collection at a single time point. The abnormal areas obtained through this method are more accurate, and further accuracy is improved by core drilling and retesting in these areas. Furthermore, a scoring value is introduced throughout the entire dewatering detection process within the foundation pit, and this score is used to divide pile positions into groups. These groups improve the accuracy of locating abnormal areas. The data is used to calculate similarity using curves, serving as the scoring value. This avoids fluctuations and influences caused by signal interference at individual points, improving the objectivity of the scoring value. A reinforcement coefficient is introduced to account for the influence of cold joints in the combined seepage-proof curtain. Only when the number of statistical tests exceeds a preset number is the condition considered abnormal, improving the accuracy and reliability of abnormal area judgment. In practical applications, the corresponding control methods can also be used for seepage prevention in foundation pit construction of transportation engineering projects. Example

[0089] This application provides a combined seepage-proof curtain construction control system, the specific implementation method of which is the same as the implementation method and the technical effect achieved in the above embodiment 1, and some contents will not be repeated.

[0090] The combined seepage-proof curtain construction control system includes: The detection device includes multiple sets of detection units, each set of detection units including an inner electrode located inside the curtain and an outer electrode located outside the curtain; the detection data acquired by the detection device before and during the dewatering process in the foundation pit are resistivity data. A controller, electrically connected to the detection device, is configured to perform the following steps: S101, Obtain the curtain construction plan for the seepage prevention area, the curtain construction plan is used to indicate the position sequence of multiple consecutive pile groups and the construction sequence of each pile group. S102. After completing the site leveling and obstacle removal in the seepage prevention area, the pile group to be constructed is taken as the target pile group according to the curtain construction plan. Multiple cement mixing piles of the target pile group are constructed using the overlapping method of the one-hole splicing method. S103, after completing the construction of all pile groups corresponding to the curtain construction plan, use the detection device to obtain the first set of detection data before dewatering in the foundation pit, and obtain multiple sets of second detection data in real time according to the preset cycle during the dewatering process in the foundation pit; based on the first set of detection data and each of the second sets of detection data, determine whether there are any abnormal areas in the anti-seepage curtain; S104. When there is an abnormal area, at least one cement mixing pile corresponding to the abnormal area shall be inspected by drilling core to check whether there is cement stone or mortar stone. When the grouting and bonding are judged to meet the construction requirements based on the drilling core, it is considered that there is no abnormal area. S105. When it is determined that there are no abnormal areas in the seepage prevention curtain, quality monitoring is carried out according to the platform attributes of each area of ​​the seepage prevention zone and the monitoring strategy.

[0091] In some embodiments, the platform attributes include backfill soil attributes and undisturbed soil attributes, and the monitoring strategy includes: performing deformation monitoring including horizontal displacement measurement and settlement measurement, wherein the displacement obtained from the deformation monitoring is the change in elevation observation values ​​between two periods, and the monitoring frequency for areas with backfill soil attributes is greater than the monitoring frequency for areas with undisturbed soil attributes.

[0092] In some embodiments, step S102 includes: If cold joints occur during the construction of multiple cement mixing piles in the target pile group, and the duration of the cold joints is no more than 24 hours, reinforcement treatment can be achieved by drilling one hole in the cold joint and drilling one row of cement mixing piles in parallel at the cold joint. If cold joints occur during the construction of multiple cement mixing piles in the target pile group, and the duration of the cold joints is greater than 24 hours, reinforcement treatment is achieved by drilling one hole at the cold joint and drilling one row of 600 jet grouting piles side by side at the cold joint.

[0093] In some embodiments, the detection device includes multiple sets of detection units, each set of detection units including an inner electrode disposed on the inner side of the curtain and an outer electrode disposed on the outer side of the curtain; the detection data acquired by the detection device before and during the dewatering process in the foundation pit are resistivity data; step S103 includes: Before dewatering in the foundation pit, the detection device is used to detect each pile group to obtain the first set of detection data; During the dewatering process in the foundation pit, the detection device is used to detect each pile group according to a preset cycle, and multiple second detection datasets are merged and arranged in chronological order. Based on the first set of detection data and each of the second sets of detection data, determine whether there are any abnormal areas in the seepage prevention curtain.

[0094] In some embodiments, determining whether there are abnormal areas in the seepage barrier based on the first detection data set and each of the second detection data sets includes: Each of the second detection data sets is calculated by combining the first collected second detection data set with the first detection data set according to time sequence to obtain a score value; When the score value is not within the preset abnormal score range, the next second detection data set and the first detection data set are calculated according to the collection order, and the obtained score value is compared with the abnormal score range; When the score value is within the preset abnormal score range, the pile group is divided into two new pile groups, and the second detection data collected in the next preset cycle for each new pile group is used as the new second detection data set. When the score value is within the preset abnormal score range, statistics are started and the number of statistics is incremented by one; when the second detection data of the specified number of preset cycles is obtained, if the number of statistics is greater than the preset number of statistics, it is considered that the abnormal condition is met, and there is an abnormal area in the anti-seepage curtain corresponding to the previous pile group.

[0095] In some embodiments, the controller is further configured to: When it is determined that there is an abnormal area in the anti-seepage curtain corresponding to the pile position group, the location of the abnormal area is obtained according to the abnormal area judgment strategy based on the number of times each pile position group is divided and the score value at each division when the second detection data of the preset cycle is completed for a specified number of times.

[0096] In some embodiments, the methods for obtaining the score value include: A first detection data curve is obtained by arranging and plotting the resistivity values ​​in the first detection data set according to their spatial positions. A second detection data curve is obtained by arranging and plotting the resistivity values ​​in the second detection data set according to their spatial positions. A similarity value is obtained based on the second detection data curve and the first detection data curve, and a score value is obtained based on the similarity value.

[0097] In some embodiments, obtaining a similarity value based on the second detection data curve and the first detection data curve, and obtaining a score value based on the similarity value, includes: A segment of curve corresponding to the detection unit group of the second detection data curve is selected from the first detection data curve as a standard curve; the standard curve is input into the curve prediction model to obtain the detection data prediction curve corresponding to the acquisition period of the second detection data curve; Obtain the similarity between the predicted curve of the detection data and the second detection data curve; obtain the reinforcement coefficient corresponding to the second detection data curve, the reinforcement coefficient being used to indicate the degree of influence of the reinforcement treatment of the cold joint on the seepage prevention performance; The similarity between the predicted curve of the detection data and the second detection data curve is adjusted according to the reinforcement coefficient, and the adjusted value is used as the score value.

[0098] This application describes the invention from the perspectives of purpose, performance, progress, and novelty, and it meets the functional enhancement and use requirements emphasized by the Patent Law. The above description and drawings are merely preferred embodiments of this application and are not intended to limit this application. Therefore, all structures, devices, features, etc., that are similar to or identical to those of this application, i.e., all equivalent substitutions or modifications made in accordance with the scope of this patent application, shall fall within the scope of protection of this patent application.

Claims

1. A construction control method for a combined seepage-proof curtain, characterized in that, A method for seepage prevention in foundation pit construction of water conservancy projects, comprising: Step S103: After completing the construction of all pile groups corresponding to the curtain construction plan, use the detection device to obtain the first set of detection data before dewatering in the foundation pit, and obtain multiple sets of second detection data in real time according to a preset cycle during the dewatering process in the foundation pit; determine whether there are abnormal areas in the anti-seepage curtain based on the first set of detection data and each of the second sets of detection data. Step S104: When there is an abnormal area, at least one cement mixing pile corresponding to the abnormal area is checked for cement stone or mortar stone by drilling core sampling; when it is determined from the core sampling that the grouting bonding meets the construction requirements, it is considered that there is no abnormal area. Step S105: When it is determined that there are no abnormal areas in the seepage prevention curtain, quality monitoring is carried out according to the platform attributes of each area of ​​the seepage prevention area and the monitoring strategy. The step of determining whether there are abnormal areas in the seepage barrier curtain based on the first detection data set and each of the second detection data sets includes: Each of the second detection data sets is calculated by combining the first collected second detection data set with the first detection data set according to time sequence to obtain a score value; When the score value is not within the preset abnormal score range, the next second detection data set and the first detection data set are calculated according to the collection order, and the obtained score value is compared with the abnormal score range; When the score value is within the preset abnormal score range, the pile group is divided into two new pile groups, and the second detection data collected in the next preset cycle for each new pile group is used as the new second detection data set. When the score value is within the preset abnormal score range, statistics are started and the number of statistics is incremented by one; when the second detection data of the specified number of preset cycles is obtained, if the number of statistics is greater than the preset number of statistics, it is considered that the abnormal condition is met, and there is an abnormal area in the anti-seepage curtain corresponding to the previous pile group.

2. The construction control method for the combined seepage-proof curtain according to claim 1, characterized in that, Before step S103, the method further includes: Step S101: Obtain the curtain construction plan for the seepage prevention area. The curtain construction plan is used to indicate the positional order of multiple consecutive pile groups and the construction sequence of each pile group. Step S102: After completing the site leveling and obstacle removal in the seepage prevention area, the pile group to be constructed is taken as the target pile group according to the curtain construction plan, and multiple cement mixing piles of the target pile group are constructed using the overlapping method of the one-hole splicing method. The platform attributes include backfill soil attributes and undisturbed soil attributes. The monitoring strategy includes: performing deformation monitoring, including horizontal displacement measurement and settlement measurement. The displacement obtained from the deformation monitoring is the change in elevation observation values ​​between two periods. The monitoring frequency for areas with backfill soil attributes is greater than the monitoring frequency for areas with undisturbed soil attributes.

3. The construction control method for the combined seepage-proof curtain according to claim 2, characterized in that, Step S102 includes: If cold joints occur during the construction of multiple cement mixing piles in the target pile group, and the duration of the cold joints is no more than 24 hours, reinforcement treatment can be achieved by drilling one hole in the cold joint and drilling one row of cement mixing piles in parallel at the cold joint. If cold joints occur during the construction of multiple cement mixing piles in the target pile group, and the duration of the cold joints is greater than 24 hours, reinforcement treatment is achieved by drilling one hole at the cold joint and drilling one row of 600 jet grouting piles side by side at the cold joint.

4. The construction control method for the combined seepage-proof curtain according to claim 3, characterized in that, The detection device includes multiple sets of detection units, each set of detection units including an inner electrode located inside the curtain and an outer electrode located outside the curtain; the detection data acquired by the detection device before and during the dewatering process in the foundation pit are resistivity data; step S103 includes: Before dewatering in the foundation pit, the detection device is used to detect each pile group to obtain the first set of detection data; During the dewatering process in the foundation pit, the detection device is used to detect each pile group according to a preset cycle, and multiple second detection datasets are merged and arranged in chronological order. Based on the first set of detection data and each of the second sets of detection data, determine whether there are any abnormal areas in the seepage prevention curtain.

5. The construction control method for the combined seepage-proof curtain according to claim 1, characterized in that, The method further includes: When it is determined that there is an abnormal area in the anti-seepage curtain corresponding to the pile position group, the location of the abnormal area is obtained according to the abnormal area judgment strategy based on the number of times each pile position group is divided and the score value at each division when the second detection data of the preset cycle is completed for a specified number of times.

6. The construction control method for the combined seepage-proof curtain according to claim 5, characterized in that, The methods for obtaining rating values ​​include: A first detection data curve is obtained by arranging and plotting the resistivity values ​​in the first detection data set according to their spatial positions. A second detection data curve is obtained by arranging and plotting the resistivity values ​​in the second detection data set according to their spatial positions. A similarity value is obtained based on the second detection data curve and the first detection data curve, and a score value is obtained based on the similarity value.

7. The construction control method for the combined seepage-proof curtain according to claim 6, characterized in that, The step of obtaining a similarity value based on the second detection data curve and the first detection data curve, and obtaining a score value based on the similarity value, includes: A segment of curve corresponding to the detection unit group of the second detection data curve is selected from the first detection data curve as a standard curve; the standard curve is input into the curve prediction model to obtain the detection data prediction curve corresponding to the acquisition period of the second detection data curve; Obtain the similarity between the predicted curve of the detection data and the second detection data curve; obtain the reinforcement coefficient corresponding to the second detection data curve, the reinforcement coefficient being used to indicate the degree of influence of the reinforcement treatment of the cold joint on the seepage prevention performance; The similarity between the predicted curve of the detection data and the second detection data curve is adjusted according to the reinforcement coefficient, and the adjusted value is used as the score value.

8. A combined seepage-proof curtain construction control system, characterized in that, include: The detection device includes multiple sets of detection units, each set of detection units including an inner electrode disposed on the inner side of the curtain and an outer electrode disposed on the outer side of the curtain. The detection data obtained by the detection device before and during the dewatering process in the foundation pit are resistivity data. A controller, electrically connected to the detection device, is configured to perform the following steps: After completing the construction of all pile groups corresponding to the curtain wall construction plan, the detection device is used to obtain the first set of detection data before the dewatering in the foundation pit, and multiple sets of second detection data are obtained in real time according to a preset cycle during the dewatering process in the foundation pit; based on the first set of detection data and each of the second sets of detection data, it is determined whether there are any abnormal areas in the anti-seepage curtain wall; When there is an abnormal area, at least one cement mixing pile corresponding to the abnormal area is checked by core drilling to see if there is cement stone or mortar stone. When the core drilling determines that the grouting and bonding meet the construction requirements, it is considered that there is no abnormal area. When it is determined that there are no abnormal areas in the seepage prevention curtain, quality monitoring is carried out according to the platform attributes of each area of ​​the seepage prevention area and the monitoring strategy. The step of determining whether there are abnormal areas in the seepage barrier based on the first detection data set and each of the second detection data sets includes: Each of the second detection data sets is calculated by combining the first collected second detection data set with the first detection data set according to time sequence to obtain a score value; When the score value is not within the preset abnormal score range, the next second detection data set and the first detection data set are calculated according to the collection order, and the obtained score value is compared with the abnormal score range; When the score value is within the preset abnormal score range, the pile group is divided into two new pile groups, and the second detection data collected in the next preset cycle for each new pile group is used as the new second detection data set. When the score value is within the preset abnormal score range, statistics are started and the number of statistics is incremented by one; when the second detection data of the specified number of preset cycles is obtained, if the number of statistics is greater than the preset number of statistics, it is considered that the abnormal condition is met, and there is an abnormal area in the anti-seepage curtain corresponding to the previous pile group.

9. The combined seepage-proof curtain construction control system according to claim 8, characterized in that, The platform attributes include backfill soil attributes and undisturbed soil attributes. The monitoring strategy includes: performing deformation monitoring, including horizontal displacement measurement and settlement measurement. The displacement obtained from the deformation monitoring is the change in elevation observation values ​​between two periods. The monitoring frequency for areas with backfill soil attributes is greater than the monitoring frequency for areas with undisturbed soil attributes.

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