Karst pile foundation leakage slurry early warning method and system

Abstract

The embodiment of the present application relates to the pile foundation construction technical field, specifically discloses a kind of karst pile foundation leak slurry early warning method and system.The embodiment of the present application is determined by pile foundation construction area, carries out geological radar detection, electrical prospecting and borehole exploration to pile foundation construction area, obtains geological detection data;Monitoring deployment is carried out, and real-time monitoring data is obtained, and three-dimensional monitoring model is established, and visual monitoring display is carried out;Extract multiple key feature data in real-time monitoring data, import into the preset slurry leakage preset model, obtain slurry leakage prediction probability;According to slurry leakage prediction probability, determine slurry leakage early warning level, according to slurry leakage early warning level, early warning and emergency treatment are carried out.The present application breaks through the dependence of traditional grouting process on crack morphology by innovative design of the synergistic plugging mechanism of pH-sensitive pneumatic capsules and geological bonding agents, using the instantaneous negative pressure field effect to drive the directional enrichment of nanomaterials, triggering in-situ strengthening reactions based on the mineral characteristics of rock mass.

Description

Technical Field

[0001] The present invention belongs to the technical field of pile foundation construction, and in particular relates to a karst pile foundation slurry leakage prevention and early warning method and system. Background Art

[0002] Preventing grout leakage is a crucial step in pile foundation construction in karst areas. Leakage not only impacts construction efficiency but can also lead to substandard pile foundation quality and even structural safety issues. The Karst Pile Foundation Leakage Prevention System can predict and identify leakage risks during construction, providing timely and accurate warning information to construction companies so they can take appropriate preventive measures to ensure construction safety and quality.

[0003] In existing technologies, karst pile foundation leakage warning mostly relies on manual monitoring and data analysis, lacks intelligent analysis and decision support functions, cannot achieve real-time and continuous monitoring and warning, and cannot accurately identify leakage risks, resulting in inaccurate warning information or false alarms. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide a karst pile foundation grout leakage prevention early warning method and system, aiming to solve the problems raised in the background technology.

[0005] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0006] A karst pile foundation grout leakage prevention early warning method, the method specifically comprising the following steps:

[0007] Determine the pile foundation construction area, conduct geological radar detection, electrical prospecting and drilling exploration in the pile foundation construction area, and obtain geological exploration data;

[0008] According to the geological exploration data, monitoring deployment is carried out, and pressure and flow monitoring is performed to obtain real-time monitoring data, establish a three-dimensional monitoring model, and perform visual monitoring display;

[0009] Extracting multiple key feature data from the real-time monitoring data, importing them into a preset slurry leakage model, and obtaining a slurry leakage prediction probability;

[0010] According to the predicted probability of slurry leakage, a slurry leakage warning level is determined, and an early warning alarm is issued according to the slurry leakage warning level, and emergency treatment is carried out.

[0011] A karst pile foundation grout leakage prevention early warning system, the system comprising:

[0012] A regional geological exploration unit is used to determine the pile foundation construction area, conduct geological radar detection, electrical exploration and drilling exploration in the pile foundation construction area, and obtain geological exploration data;

[0013] A monitoring deployment processing unit is used to perform monitoring deployment according to the geological exploration data, and to perform pressure and flow monitoring, obtain real-time monitoring data, establish a three-dimensional monitoring model, and perform visual monitoring display;

[0014] A slurry leakage prediction processing unit is used to extract multiple key feature data from the real-time monitoring data, import them into a preset slurry leakage model, and obtain a slurry leakage prediction probability;

[0015] The level warning alarm unit is used to determine the leakage warning level according to the leakage prediction probability, issue a warning alarm according to the leakage warning level, and perform emergency treatment.

[0016] Compared with the prior art, the present invention has the following beneficial effects:

[0017] 1. The present invention determines the pile foundation construction area, conducts geological radar detection, electrical exploration and drilling exploration in the pile foundation construction area to obtain geological exploration data; performs differentiated pressure gradient monitoring deployment according to the geological exploration data, establishes a three-dimensional monitoring model and realizes visual monitoring; extracts key features from the real-time monitoring data and imports them into the leakage prediction model to obtain probability, and finally dynamically triggers graded early warning and intelligent emergency response according to the predicted probability. It integrates spatial correlation analysis of multi-source geological data, dynamic risk classification map and construction stage adaptive feature weight algorithm, solves the problem of delayed response of traditional methods to complex karst channels, and significantly improves the timeliness of early warning and targeted treatment.

[0018] 2. The present invention integrates the dynamic display of a three-dimensional visual monitoring model with the spatially weighted fusion of leakage prediction probabilities, combined with a similarity matching correction algorithm for historical cases, to construct a closed-loop decision-making system that integrates real-time monitoring data collection - multi-dimensional risk dynamic assessment - adaptive warning level adjustment - and intelligent emergency command generation, thus realizing intelligent and automated leakage prevention and control of the entire process of pile foundation construction in karst areas.

[0019] 3. The present invention innovatively designs a synergistic plugging mechanism of pH-sensitive pneumatic capsules and geological bonding agents, utilizes the instantaneous negative pressure field effect to drive the directional enrichment of nanomaterials, triggers an in-situ enhanced reaction based on the mineral properties of the rock mass, and breaks through the traditional grouting process's dependence on crack morphology. It forms an intelligent emergency treatment system with both rapid plugging and long-term support, and effectively solves the emergency treatment problem caused by the diversity of pile foundation leakage paths in karst areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0021] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0022] Figure 2 The application architecture diagram of the system provided by the embodiment of the present invention is shown.

[0023] Figure 3 The structure block diagram of the regional geological exploration unit in the system provided by the embodiment of the present invention is shown.

[0024] Figure 4 It shows a structural block diagram of a monitoring deployment processing unit in a system provided by an embodiment of the present invention.

[0025] Figure 5 It shows a structural block diagram of a medium-level early warning alarm unit in a system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0027] It is understandable that in the existing technology, karst pile foundation leakage prevention warning mostly relies on manual monitoring and data analysis, lacks intelligent analysis and decision support functions, cannot achieve real-time and continuous monitoring and warning, and cannot accurately identify leakage risks, resulting in inaccurate warning information or false alarms.

[0028] To solve the above problems, the embodiment of the present invention determines the pile foundation construction area, conducts geological radar detection, electrical prospecting and drilling exploration in the pile foundation construction area, and obtains geological exploration data; according to the geological exploration data, performs monitoring deployment, and performs pressure and flow monitoring, obtains real-time monitoring data, establishes a three-dimensional monitoring model, and performs visual monitoring display; extracts multiple key feature data from the real-time monitoring data, imports them into a preset leakage preset model, and obtains the leakage prediction probability; according to the leakage prediction probability, determines the leakage warning level, performs early warning alarm according to the leakage warning level, and performs emergency treatment. It can automatically monitor and warn of karst pile foundation leakage prevention, improve the ability of intelligent analysis and decision support, realize real-time and continuous monitoring and early warning, and can perform different early warning alarms and emergency treatment according to different leakage warning levels.

[0029] Figure 1 A flow chart of a method provided by an embodiment of the present invention is shown.

[0030] Specifically, a karst pile foundation anti-leakage early warning method comprises the following steps:

[0031] Step S101: determine the pile foundation construction area, perform geological radar detection, electrical prospecting and drilling exploration on the pile foundation construction area, and obtain geological exploration data.

[0032] In an embodiment of the present invention, construction planning information is obtained, regional identification is performed on the construction planning information, and the pile foundation construction area is determined. Before construction is carried out in the pile foundation construction area, geological radar detection is performed on the pile foundation construction area to scan the underground rock structure, identify karst features such as cavities and cracks, and obtain radar detection data. Electrical exploration is performed on the pile foundation construction area to further confirm the groundwater level and the location of karst caves, and obtain electrical exploration data. Drilling exploration is performed on the pile foundation construction area, drilling is performed in key areas, and the underground situation is directly observed in combination with camera technology. Sampling and analysis of rock and soil properties are performed to obtain drilling exploration data. According to a preset data organization template, the radar detection data, electrical exploration data, and drilling exploration data are comprehensively organized to generate geological exploration data.

[0033] In a preferred embodiment of the present invention, determining the pile foundation construction area, performing geological radar detection, electrical prospecting, and drilling exploration on the pile foundation construction area, and obtaining geological exploration data specifically include the following steps:

[0034] Step S1011, obtaining construction planning information and determining the pile foundation construction area;

[0035] Step S1012: Perform geological radar detection on the pile foundation construction area to obtain radar detection data;

[0036] Step S1013, performing electrical exploration on the pile foundation construction area to obtain electrical exploration data;

[0037] Step S1014: drilling the pile foundation construction area to obtain drilling exploration data;

[0038] Step S1015 , integrating the radar detection data, the electrical exploration data, and the borehole exploration data to generate geological exploration data.

[0039] Furthermore, the karst pile foundation grout leakage prevention early warning method further includes the following steps:

[0040] Step S102: Perform monitoring deployment according to the geological exploration data, perform pressure and flow monitoring, obtain real-time monitoring data, establish a three-dimensional monitoring model, and perform visual monitoring display.

[0041] In an embodiment of the present invention, by analyzing geological exploration data, channel distribution data of the karst channel is obtained, and construction design analysis is performed on the construction planning information. From the construction planning information, construction design data of the pile foundation construction is extracted. Then, combined with the channel distribution data and the construction design data, pressure monitoring is deployed around the piles and in the karst channel. After the monitoring deployment is completed, real-time pressure monitoring is performed to obtain pressure data of slurry injection, and real-time flow monitoring is performed to obtain the injection rate and total injection volume of the slurry injection. The pressure data, injection rate and total injection volume are integrated to generate real-time monitoring data of slurry injection. Based on the geological exploration data and the real-time monitoring data, a three-dimensional monitoring model is established, and the three-dimensional monitoring model is visually monitored and displayed.

[0042] Among them, in the preferred embodiment provided by the present invention, the monitoring deployment is carried out according to the geological exploration data, and pressure and flow monitoring is performed, real-time monitoring data is obtained, a three-dimensional monitoring model is established, and a visual monitoring display is performed, which specifically includes the following steps:

[0043] Step S1021, analyzing the geological exploration data to obtain channel distribution data of the karst channel;

[0044] Step S1022: extracting construction design data for pile foundation construction from the construction planning information;

[0045] Step S1023: deploying pressure monitoring around the piles and in the karst channels according to the channel distribution data and the construction design data;

[0046] Step S1024: perform pressure and flow monitoring, obtain real-time monitoring data, establish a three-dimensional monitoring model, and perform visual monitoring display.

[0047] In a preferred embodiment of the present invention, the deployment of pressure monitoring around piles and in karst channels according to the channel distribution data and the construction design data specifically includes the following steps:

[0048] Step S10231, performing a three-dimensional spatial superposition analysis on the channel distribution data and the construction design data to establish a spatial correlation model;

[0049] Step S10232: Analyze the relative positions of the karst channel and the pile body using a spatial correlation model, analyze the matching degree between the channel characteristics and the designed grouting parameters, dynamically generate a karst channel risk grading map, and assign risk labels to the karst channel risk grading map to obtain a three-dimensional karst channel distribution map with dynamic risk grade labels;

[0050] Step S10233: For the three-dimensional karst channel distribution map with dynamic risk level markers, based on the pile position design and the direction of the adjacent high-risk channels, pressure sensors are densely deployed upstream and downstream of the potential leakage path to form a high-risk pile foundation pressure gradient monitoring network;

[0051] Step S10234: deploying pressure sensors at a conventional density in the low-risk direction to form a low-risk pile foundation pressure gradient monitoring network;

[0052] Step S10235: deploying pressure sensors in high-risk karst channels near pile foundations, at narrow locations, and at bifurcated areas to form a monitoring network for high-risk karst channels.

[0053] Step S10236: deploying pressure sensors in the karst medium-risk channel at the starting end to form a karst medium-risk channel deployment monitoring network;

[0054] Step S10237: deploying pressure sensors in the karst low-risk channels at the connection points to form a karst low-risk channel deployment monitoring network;

[0055] Step S10238: generating differentiated deployment plans for pile perimeters and karst channels based on the high-risk pile foundation pressure gradient monitoring network, the low-risk pile foundation pressure gradient monitoring network, the karst high-risk channel deployment monitoring network, the karst medium-risk channel deployment monitoring network, and the karst low-risk channel deployment monitoring network;

[0056] Step S10239: Install pressure sensors at designated locations according to the differentiated deployment schemes around piles and in karst channels and conduct preliminary grouting tests. Collect pressure data in real time, analyze and test the collected pressure data to obtain verification results, and perform adaptive fine-tuning based on the verification results to complete the pressure monitoring deployment.

[0057] Among them, in the preferred embodiment provided by the present invention, the pressure and flow monitoring, obtaining real-time monitoring data, establishing a three-dimensional monitoring model, and performing visual monitoring display specifically include the following steps:

[0058] Step S10241, performing real-time pressure monitoring to obtain pressure data of slurry injection;

[0059] Step S10242: Perform real-time flow monitoring to obtain the injection rate and total injection volume of the slurry;

[0060] Step S10243, combining the pressure data, the injection rate, and the total injection volume to generate real-time monitoring data of slurry injection;

[0061] Step S10244: establishing a three-dimensional monitoring model based on the geological exploration data and the real-time monitoring data;

[0062] Step S10245, visualizing and monitoring the three-dimensional monitoring model.

[0063] Further, the karst pile leakage slurry early warning method further includes the following steps:

[0064] Step S103, extracting a plurality of key feature data in the real-time monitoring data, importing the leakage slurry preset model, and obtaining a leakage slurry prediction probability.

[0065] In the embodiment of the present application, by denoising the real-time monitoring data, eliminating inconsistent data, and then performing standardization or normalization processing, the effectiveness of the data is ensured, standard monitoring data is generated, and the standard monitoring data is analyzed for features using statistics and time series, a plurality of key feature data including pressure gradient change rate and fluid dynamic index are extracted, the plurality of key feature data are imported into the leakage slurry preset model, and then a leakage slurry prediction probability derived from the leakage slurry preset model is obtained.

[0066] It can be understood that the leakage slurry preset model is a model generated by training based on a historical data set using a random forest, support vector machine, or deep learning algorithm.

[0067] In the preferred embodiment provided by the present application, the step of extracting a plurality of key feature data in the real-time monitoring data and importing the leakage slurry preset model to obtain a leakage slurry prediction probability specifically includes the following steps:

[0068] Step S1031, denoising and standardizing the real-time monitoring data to generate standard monitoring data;

[0069] Step S1032, analyzing the standard monitoring data for features to extract a plurality of key feature data including pressure gradient change rate and fluid dynamic index;

[0070] Step S1033, importing a plurality of the key feature data into the leakage slurry preset model;

[0071] Step S1034, obtaining a leakage slurry prediction probability derived from the leakage slurry preset model.

[0072] In the preferred embodiment provided by the present application, obtaining a leakage slurry prediction probability derived from the leakage slurry preset model specifically includes the following steps:

[0073] Step S10341, determining and obtaining a current construction stage label, dynamically adjusting the weight of the key feature according to the current construction stage label for a plurality of key feature data, and obtaining a feature combination after weight adjustment;

[0074] Step S10342: input the weight-adjusted feature combination into the grout leakage prediction model for weight distribution to obtain a weighted feature vector adaptive to the construction stage;

[0075] Step S10343: using the 3D monitoring model to obtain real-time 3D channel status data, inputting the weighted feature vector adaptively generated during the construction phase into the grout leakage preset model to generate the foundation grout leakage probability;

[0076] Step S10344, using the real-time three-dimensional channel state data to calculate the channel state coefficient, and fuse it with the foundation leakage probability to obtain the risk method prediction probability of the fused channel state;

[0077] Step S10345, obtaining historical slurry leakage events, and calculating the probability mean of the slurry leakage events to generate the probability mean of the historical slurry leakage events;

[0078] Step S10346: perform a probability comparison on the risk method prediction probability of the fused channel state based on the mean probability of historical slurry leakage events to obtain a comparison result, and use the comparison result to correct the risk method prediction probability of the fused channel state to derive the slurry leakage prediction probability.

[0079] Furthermore, the karst pile foundation grout leakage prevention early warning method further includes the following steps:

[0080] Step S104: determining a slurry leakage warning level according to the slurry leakage prediction probability, issuing a warning alarm according to the slurry leakage warning level, and performing emergency processing.

[0081] In an embodiment of the present invention, a leakage warning level is determined based on the leakage prediction probability. According to the leakage warning level, monitoring warning alarms with different colors, flashing frequencies and sound frequencies are performed in a three-dimensional monitoring model. According to the leakage warning level, on-site warning alarms are performed, and according to the leakage warning level, emergency treatments such as stopping grouting, closing valves and injecting plugging materials are performed. Specifically, different leakage warning levels have different emergency treatment plans for stopping grouting, closing valves and injecting plugging materials.

[0082] Among them, in the preferred embodiment provided by the present invention, determining the slurry leakage warning level according to the slurry leakage prediction probability, issuing an early warning alarm according to the slurry leakage warning level, and performing emergency treatment specifically include the following steps:

[0083] Based on the pressure data of slurry injection, a real-time pressure curve shape is obtained, the pressure curve characteristics are identified based on the real-time pressure curve shape, and a correction probability calculation is performed based on the slurry leakage prediction probability to obtain a corrected probability;

[0084] Step S1041, obtaining the cross-sectional morphology of the karst channel based on geological exploration data and radar detection data;

[0085] Step S1042, performing a channel morphology risk analysis on the cross-sectional morphology of the dissolution channel to obtain an analyzed risk coefficient, and combining the analyzed risk coefficient with the corrected probability to calculate a spatially weighted probability to obtain a weighted calculated probability;

[0086] Step S1043: Determine and obtain the actual slurry leakage probability in historical disposal records and historical cases, match the weighted calculated probability with similar scenarios according to the historical disposal records, obtain matched historical events, compare and analyze the weighted calculated probability based on the actual slurry leakage probability in the matched historical events, dynamically adjust the slurry leakage warning level, and obtain the dynamically adjusted slurry leakage warning level;

[0087] Step S1044, determining the slurry leakage warning level based on the dynamically adjusted slurry leakage warning level;

[0088] Step S1045: performing monitoring and warning alarms in the three-dimensional monitoring model according to the slurry leakage warning level;

[0089] Step S1046: issuing an on-site early warning alarm according to the slurry leakage warning level;

[0090] Step S1047: According to the leakage warning level, emergency treatments such as stopping grouting, closing valves, and injecting plugging materials are performed.

[0091] In a preferred embodiment of the present invention, the emergency treatment of stopping grouting, closing the valve and injecting the plugging material according to the leakage warning level specifically includes the following steps:

[0092] Step S10471: obtaining karst spatial configuration data based on geological exploration data, and dynamically selecting a target area according to the grout leakage warning level and the karst spatial configuration data to obtain a selected target area;

[0093] Step S10472: Based on the leakage warning level, grouting is stopped, the main valve is closed, and the plugging branch valve is opened simultaneously. A pH-sensitive pneumatic capsule is injected into the selected target area through the plugging branch valve. The pH-sensitive pneumatic capsule has an alkaline dissolving membrane as its outer shell and a solid carbon dioxide pressure release agent as its inner core.

[0094] Step S10473: When the cement slurry contacts the pH-sensitive pneumatic capsule, the dissolving film of the pH-sensitive pneumatic capsule shell ruptures, and the solid carbon dioxide pressure release agent in the inner core is gasified, forming an instantaneous negative pressure area, and obtaining a negative pressure self-locking completion signal;

[0095] Step S10474, based on the drilling exploration data to get the rock mass mineral composition data, and according to the negative pressure self-locking completion signal, the lost circulation branch valve is used to inject the silicon-aluminum nano bonding agent into the selected target area, the transient negative pressure area is used to make the silicon-aluminum nano bonding agent automatically enrich on the calcite surface of the cavity wall of the selected target area, trigger the geological bonding reaction, generate the superhard mineral complex, use the superhard mineral complex to form the supporting body, realize the lost circulation emergency reinforcement of the selected target area, and complete the emergency treatment.

[0096] Further, Figure 2 The application architecture diagram of the system provided by the embodiment of the application is shown.

[0097] In another preferred embodiment of the application, a karst pile foundation lost circulation early warning system comprises:

[0098] The regional geological exploration unit 101 is configured to determine a pile foundation construction region, perform geological radar detection, electrical prospecting and drilling exploration on the pile foundation construction region, and obtain geological exploration data.

[0099] In the embodiment of the application, the regional geological exploration unit 101 obtains construction planning information, identifies the construction planning information, determines the pile foundation construction region, performs geological radar detection on the pile foundation construction region before construction, scans the underground rock structure, identifies karst features such as cavities and fissures, obtains radar detection data, performs electrical prospecting on the pile foundation construction region, further confirms the underground water level and the position of the karst cave, obtains electrical prospecting data, performs drilling exploration on the pile foundation construction region, drills in key regions, directly observes the underground situation in combination with the camera technology, takes samples to analyze the properties of the rock and soil, obtains drilling exploration data, and according to a preset data arrangement template, comprehensively arranges the radar detection data, the electrical prospecting data and the drilling exploration data to generate the geological exploration data.

[0100] Specifically, Figure 3 The structure block diagram of the regional geological exploration unit 101 in the system provided by the embodiment of the application is shown.

[0101] In the preferred embodiment of the application, the regional geological exploration unit 101 specifically comprises:

[0102] The regional determination module 1011 is configured to obtain construction planning information and determine a pile foundation construction region.

[0103] The radar detection module 1012 is configured to perform geological radar detection on the pile foundation construction region and obtain radar detection data.

[0104] The electrical prospecting module 1013 is configured to perform electrical prospecting on the pile foundation construction region and obtain electrical prospecting data.

[0105] The drilling exploration module 1014 is configured to perform drilling exploration on the pile foundation construction area to obtain drilling exploration data.

[0106] The data synthesis module 1015 is configured to synthesize the radar detection data, the electrical prospecting data and the drilling exploration data to generate geological detection data.

[0107] Further, the digital red packet sending system based on the multi-scene entity further comprises:

[0108] The monitoring deployment processing unit 102 is configured to perform monitoring deployment according to the geological detection data, perform pressure and flow monitoring to obtain real-time monitoring data, establish a three-dimensional monitoring model and perform visual monitoring display.

[0109] In the embodiment of the present application, the monitoring deployment processing unit 102 obtains the channel distribution data of the karst channel by analyzing the geological detection data, and analyzes the construction design of the construction planning information, extracts the construction design data of the pile foundation construction from the construction planning information, and combines the channel distribution data and the construction design data to perform pressure monitoring deployment around the pile and the karst channel. After the monitoring deployment is completed, the pressure data of the grout injection is obtained by performing real-time pressure monitoring, and the injection rate and the total amount of grout injection are obtained by performing real-time flow monitoring. The real-time monitoring data of the grout injection is generated by synthesizing the pressure data, the injection rate and the total amount. According to the geological detection data and the real-time monitoring data, a three-dimensional monitoring model is established, and the three-dimensional monitoring model is visually displayed.

[0110] Specifically, Figure 4 The structural block diagram of the monitoring deployment processing unit 102 in the system provided by the embodiment of the present application is shown.

[0111] In the preferred embodiment provided by the present application, the monitoring deployment processing unit 102 specifically comprises:

[0112] The data analysis module 1021 is configured to analyze the geological detection data to obtain the channel distribution data of the karst channel.

[0113] The data extraction module 1022 is configured to extract the construction design data of the pile foundation construction from the construction planning information.

[0114] The monitoring deployment module 1023 is configured to perform pressure monitoring deployment around the pile and the karst channel according to the channel distribution data and the construction design data.

[0115] The monitoring processing module 1024 is configured to perform pressure and flow monitoring to obtain real-time monitoring data, establish a three-dimensional monitoring model and perform visual monitoring display.

[0116] Furthermore, the digital red envelope sending system based on multiple scenario entities also includes:

[0117] The slurry leakage prediction processing unit 103 is used to extract multiple key feature data from the real-time monitoring data, import them into a preset slurry leakage model, and obtain a slurry leakage prediction probability.

[0118] In an embodiment of the present invention, the leakage prediction processing unit 103 performs denoising processing on the real-time monitoring data, eliminates inconsistent data, and then performs standardization or normalization processing to ensure the validity of the data, generates standard monitoring data, and uses statistics and time series to perform feature analysis on the standard monitoring data, extracting multiple key feature data including the pressure gradient change rate and fluid dynamic indicators. The leakage prediction processing unit 103 imports the multiple key feature data into a preset leakage preset model, and then obtains the leakage prediction probability derived from the leakage preset model.

[0119] The level warning alarm unit 104 is used to determine the slurry leakage warning level according to the slurry leakage prediction probability, issue a warning alarm according to the slurry leakage warning level, and perform emergency processing.

[0120] In an embodiment of the present invention, the level warning alarm unit 104 determines the leakage warning level according to the leakage prediction probability, and performs monitoring warning alarms with different colors, flashing frequencies and sound frequencies in the three-dimensional monitoring model according to the leakage warning level, and performs on-site warning alarms according to the leakage warning level, and performs emergency treatments such as stopping grouting, closing valves and injecting plugging materials according to the leakage warning level. Specifically, different leakage warning levels have different emergency treatment plans for stopping grouting, closing valves and injecting plugging materials.

[0121] Specifically, Figure 5 It shows a structural block diagram of the medium-level early warning alarm unit 104 in the system provided by an embodiment of the present invention.

[0122] In a preferred embodiment of the present invention, the level warning alarm unit 104 specifically includes:

[0123] A level determination module 1041 is configured to determine a slurry leakage warning level according to the slurry leakage prediction probability;

[0124] A monitoring and warning module 1042 is configured to perform monitoring and warning alarms in the three-dimensional monitoring model according to the slurry leakage warning level;

[0125] On-site early warning module 1043, used for performing on-site early warning alarm according to the slurry leakage early warning level;

[0126] The emergency processing module 1044 is configured to perform emergency processing of stopping grouting, closing a valve, and injecting a plugging material according to the grout leakage warning level.

[0127] It should be understood that although each step in the flowchart of each embodiment of the present application is shown in sequence according to the arrow, the steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, the execution of the steps is not strictly limited in sequence, and the steps can be executed in other orders. Moreover, at least some of the steps in each embodiment can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of the sub-steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or sub-steps or stages of other steps.

[0128] It can be understood by those skilled in the art that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing related hardware, and the program can be stored in a non-volatile computer readable storage medium. When the program is executed, it can include the processes of the above-mentioned embodiments of each method. Any reference to memory, storage, database or other medium used in each embodiment provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0129] Each technical feature of the above-mentioned embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of each technical feature in the above-mentioned embodiments are not described, but as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0130] The above-described embodiments merely illustrate several implementations of the present invention, and while their descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

[0131] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A karst pile foundation anti-leakage early warning method, characterized in that: The method specifically comprises the following steps: Determine the pile foundation construction area, conduct geological radar detection, electrical prospecting and drilling exploration in the pile foundation construction area, and obtain geological exploration data; According to the geological exploration data, monitoring deployment is carried out, and pressure and flow monitoring is performed to obtain real-time monitoring data, establish a three-dimensional monitoring model, and perform visual monitoring display; Extracting multiple key feature data from the real-time monitoring data, importing them into a preset slurry leakage model, and obtaining a slurry leakage prediction probability; Determine a slurry leakage warning level according to the slurry leakage prediction probability, issue an early warning alarm according to the slurry leakage warning level, and perform emergency treatment; The step of extracting multiple key feature data from the real-time monitoring data, importing the data into a preset slurry leakage model, and obtaining a slurry leakage prediction probability specifically includes the following steps: Performing denoising and standardization processing on the real-time monitoring data to generate standard monitoring data; Performing feature analysis on the standard monitoring data to extract multiple key feature data including pressure gradient change rate and fluid dynamic indicators; Importing the plurality of key feature data into a preset slurry leakage preset model; Obtaining the slurry leakage prediction probability derived from the slurry leakage preset model; Obtaining the slurry leakage prediction probability derived from the slurry leakage preset model specifically includes the following steps: Determine and obtain the current construction stage label, dynamically adjust the weights of key features for multiple key feature data according to the current construction stage label, and obtain a feature combination after weight adjustment; The weight-adjusted feature combination is input into the grout leakage prediction model for weight distribution, and a weighted feature vector adaptive to the construction stage is obtained; The 3D monitoring model is used to obtain real-time 3D channel status data, and the weighted feature vectors adaptively generated during the construction phase are input into the leakage preset model to generate the foundation leakage probability. The channel state coefficient is calculated using real-time three-dimensional channel state data and fused with the foundation leakage probability to obtain the risk method prediction probability of the fused channel state; Obtain historical slurry leakage events, calculate the probability mean of the slurry leakage events, and generate the probability mean of the historical slurry leakage events; Based on the mean probability of historical leakage events, a probability comparison is performed on the risk method prediction probability of the fusion channel state to obtain a comparison result. The comparison result is used to correct the risk method prediction probability of the fusion channel state to derive the leakage prediction probability.

2. The karst pile foundation grout leakage prevention early warning method according to claim 1 is characterized in that: Determining the pile foundation construction area, performing geological radar detection, electrical prospecting and drilling exploration on the pile foundation construction area, and obtaining geological exploration data specifically include the following steps: Obtain construction planning information and determine the pile foundation construction area; Conducting geological radar detection on the pile foundation construction area to obtain radar detection data; Conducting electrical exploration in the pile foundation construction area to obtain electrical exploration data; Performing drilling exploration on the pile foundation construction area to obtain drilling exploration data; The radar detection data, the electrical exploration data and the borehole exploration data are integrated to generate geological exploration data.

3. The karst pile foundation grout leakage prevention early warning method according to claim 2, characterized in that: The method of performing monitoring deployment according to the geological exploration data, performing pressure and flow monitoring, obtaining real-time monitoring data, establishing a three-dimensional monitoring model, and performing visual monitoring display specifically includes the following steps: Analyzing the geological exploration data to obtain channel distribution data of the karst channel; Extracting construction design data for pile foundation construction from the construction planning information; Deploy pressure monitoring around piles and in karst channels based on the channel distribution data and the construction design data; Conduct pressure and flow monitoring, obtain real-time monitoring data, establish a three-dimensional monitoring model, and conduct visual monitoring display.

4. The karst pile foundation grout leakage prevention early warning method according to claim 3 is characterized in that: Based on the channel distribution data and the construction design data, the deployment of pressure monitoring around the piles and in the karst channel specifically includes the following steps: Performing a three-dimensional spatial overlay analysis on the channel distribution data and the construction design data to establish a spatial correlation model; The spatial correlation model is used to analyze the relative positions of the karst channel and the pile body, and the matching degree between the channel characteristics and the designed grouting parameters is analyzed. A karst channel risk classification map is dynamically generated and risk-labeled on the karst channel risk classification map to obtain a three-dimensional karst channel distribution map with dynamic risk level labels. For the three-dimensional karst channel distribution map with dynamic risk level markings, based on the pile position design and the direction of the adjacent high-risk channels, pressure sensors are densely deployed upstream and downstream of the potential leakage path to form a high-risk pile foundation pressure gradient monitoring network; Pressure sensors are deployed at a regular density in low-risk directions to form a low-risk pile foundation pressure gradient monitoring network; Pressure sensors are deployed in high-risk karst channels near pile foundations, at narrow points, and at bifurcations to form a monitoring network for high-risk karst channels. Deploy pressure sensors at the karst medium-risk channel at the starting end to form a monitoring network for the karst medium-risk channel; Deploy pressure sensors at the karst low-risk channels at the connection points to form a karst low-risk channel deployment monitoring network; Based on the high-risk pile foundation pressure gradient monitoring network, the low-risk pile foundation pressure gradient monitoring network, the karst high-risk channel deployment monitoring network, the karst medium-risk channel deployment monitoring network, and the karst low-risk channel deployment monitoring network, differentiated deployment plans for piles and karst channels are generated; According to the differentiated deployment plan around piles and karst channels, pressure sensors are installed at designated locations and preliminary grouting tests are carried out. Pressure data is collected in real time, and the collected pressure data is analyzed and tested to obtain verification results. Adaptive fine-tuning is performed based on the verification results to complete the pressure monitoring deployment.

5. The karst pile foundation grout leakage prevention early warning method according to claim 4 is characterized in that: The pressure and flow monitoring, obtaining real-time monitoring data, establishing a three-dimensional monitoring model, and performing visual monitoring display specifically include the following steps: Conduct real-time pressure monitoring to obtain slurry injection pressure data; Conduct real-time flow monitoring to obtain the injection rate and total injection volume of slurry; generating real-time monitoring data of slurry injection by integrating the pressure data, the injection rate, and the total injection volume; Establishing a three-dimensional monitoring model based on the geological exploration data and the real-time monitoring data; Perform visual monitoring and display on the three-dimensional monitoring model.

6. The karst pile foundation grout leakage prevention early warning method according to claim 1, characterized in that: The method of determining a slurry leakage warning level according to the slurry leakage prediction probability, issuing a warning alarm according to the slurry leakage warning level, and performing emergency treatment specifically includes the following steps: Based on the pressure data of slurry injection, a real-time pressure curve shape is obtained, the pressure curve characteristics are identified based on the real-time pressure curve shape, and a correction probability calculation is performed based on the slurry leakage prediction probability to obtain a corrected probability; Based on geological exploration data and radar detection data, the cross-sectional morphology of the karst channel is obtained; Perform channel morphology risk analysis on the cross-sectional morphology of the dissolution channel to obtain the analyzed risk coefficient, and calculate the spatial weighted probability of the analyzed risk coefficient in combination with the corrected probability to obtain the weighted calculated probability; Determine and obtain the actual leakage probability in historical disposal records and historical cases, match the weighted calculated probability with similar scenarios according to the historical disposal records, obtain matched historical events, compare and analyze the weighted calculated probability based on the actual leakage probability in the matched historical events, dynamically adjust the leakage warning level, and obtain the dynamically adjusted leakage warning level; Determine the slurry leakage warning level based on the dynamically adjusted slurry leakage warning level; According to the slurry leakage warning level, monitoring and warning alarm are performed in the three-dimensional monitoring model; According to the slurry leakage warning level, an on-site early warning alarm is issued; According to the leakage warning level, emergency measures such as stopping grouting, closing valves and injecting plugging materials are carried out.

7. The karst pile foundation grout leakage prevention early warning method according to claim 6, characterized in that: The emergency treatment of stopping grouting, closing the valve and injecting the plugging material according to the leakage warning level specifically includes the following steps: Based on the geological exploration data, karst spatial configuration data is obtained, and the target area is dynamically selected according to the leakage warning level and the karst spatial configuration data to obtain the selected target area; According to the leakage warning level, grouting is stopped, the main valve is closed, and the plugging branch valve is opened simultaneously. A pH-sensitive pneumatic capsule is injected into the selected target area through the plugging branch valve. The outer shell of the pH-sensitive pneumatic capsule is an alkaline dissolving membrane, and the inner core of the pH-sensitive pneumatic capsule is a solid carbon dioxide pressure release agent. When the cement slurry contacts the pH-sensitive pneumatic capsule, the dissolving film of the pH-sensitive pneumatic capsule shell ruptures, and the solid carbon dioxide pressure release agent in the inner core gasifies, forming an instantaneous negative pressure area and obtaining a negative pressure self-locking completion signal; Based on the drilling exploration data, the rock mineral composition data is obtained, and according to the negative pressure self-locking completion signal, the silicon aluminum nano-bonding agent is injected into the selected target area through the plugging branch valve. The instantaneous negative pressure zone is used to automatically enrich the silicon aluminum nano-bonding agent on the calcite surface of the cavity wall of the selected target area, triggering the geological bonding reaction and generating a superhard mineral complex. The superhard mineral complex is used to form a support body to achieve emergency reinforcement of the target area selected for the leakage and complete the emergency treatment.

8. A karst pile foundation anti-leakage early warning system, characterized in that: The system applies the karst pile foundation grout leakage prevention early warning method according to any one of claims 1 to 7, and the system comprises: A regional geological exploration unit is used to determine the pile foundation construction area, conduct geological radar detection, electrical exploration and drilling exploration in the pile foundation construction area, and obtain geological exploration data; A monitoring deployment processing unit is used to perform monitoring deployment according to the geological exploration data, and to perform pressure and flow monitoring, obtain real-time monitoring data, establish a three-dimensional monitoring model, and perform visual monitoring display; A slurry leakage prediction processing unit is used to extract multiple key feature data from the real-time monitoring data, import them into a preset slurry leakage model, and obtain a slurry leakage prediction probability; The level warning alarm unit is used to determine the leakage warning level according to the leakage prediction probability, issue a warning alarm according to the leakage warning level, and perform emergency treatment.

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