Tunnel leaking stoppage and reinforcement construction quality detection and analysis system based on data statistics

Abstract

The invention belongs to the technical field of tunnel leaking stoppage and reinforcement construction quality detection and analysis, and relates to a tunnel leaking stoppage and reinforcement construction quality detection and analysis system based on data statistics. On the basis of a geological data analysis module, a material performance analysis module, a construction process quality analysis module, a long-term stability analysis module, a leaking stoppage reinforcement construction quality analysis module and a cloud database, material performance attenuation and adaptation, construction process quality indexes and long-term stability are comprehensively considered; the leaking stoppage and reinforcement construction quality is evaluated from multiple dimensions, the one-sidedness that the quality is judged only depending on a single factor is avoided, the problems of leakage recurrence and the like caused by blind selection of materials and inapplicability of construction schemes are avoided, the real quality condition of leaking stoppage and reinforcement construction of all leaking areas can be accurately mastered, and the construction efficiency is improved. The practical effect of leaking stoppage reinforcement construction can be visually verified, and all factors can be analyzed to accurately position the area where the problem is located and specific reasons.

Description

Technical Field

[0001] The invention belongs to the technical field of tunnel plugging and reinforcement construction quality detection and analysis, and relates to a tunnel plugging and reinforcement construction quality detection and analysis system based on data statistics. Background Art

[0002] With the acceleration of urbanization and the continuous improvement of transportation networks, tunnels, as an important part of urban transportation, are receiving more and more attention for their construction quality and safety. Tunnels face many challenges during construction and operation, such as complex geological conditions, difficult construction, and high demand for operation and maintenance. These all require a complete construction quality inspection system to ensure the safety and stability of tunnels. Traditional tunnel construction quality inspection methods often rely on manual inspection and simple instrument measurement, which have problems such as low inspection efficiency, low accuracy, and difficulty in real-time monitoring. With the rapid development of technologies such as big data, the Internet of Things, and sensors, data statistics technology has been widely used in various fields, including tunnel construction. Data statistics technology can realize real-time collection, analysis, and processing of massive data during tunnel construction, making it possible to accurately detect tunnel construction quality.

[0003] In the prior art, there are also some related solutions involving plugging and reinforcement construction, for example, the Chinese patent application number is CN111738620B, which is an invention patent application for a system and method for predicting well leakage risk and plugging decision-making based on association rules, which includes: a well history data storage database module, a well history data processing module, a leakage point data weight adjustment module, a well leakage risk data mining module, a well leakage risk assessment module, and a well leakage auxiliary decision-making module. The beneficial technical effect of the present invention is: a system and method for predicting well leakage risk and plugging decision-making based on association rules is proposed. This technology can combine the data generated and easily obtained during various drilling processes, use the association rule method to predict the well leakage risk in real time for each well site in different blocks, and determine the materials required for plugging, thereby providing auxiliary decision-making for the plugging site staff.

[0004] Another Chinese patent application with the publication number CN119228081A is an invention patent application for a tunnel plugging and reinforcement construction management and monitoring system based on statistical analysis, which includes a data acquisition module, a data analysis module, a construction control module and a monitoring and early warning module, wherein the data analysis module establishes a hazard assessment model based on disease data and leakage data, assesses the leakage-disease correlation and the hazard level of each monitoring point, and outputs a treatment plan. The construction control module performs layered plugging grouting operations based on the treatment plan, monitors in real time and dynamically adjusts the grouting control parameters until the construction of a single monitoring point is completed, and completes the construction of all monitoring points in sequence according to the processing order determined by the treatment plan. The present invention realizes the analysis of the tunnel leakage-disease correlation and the scientific assessment of the hazard level, and cooperates with the layered plugging grouting construction and the real-time monitoring and early warning mechanism to improve the treatment effect and construction safety of the tunnel plugging and reinforcement construction.

[0005] Although the above schemes have proposed some solutions for leak plugging and reinforcement construction, they still have certain limitations: (1) Some existing technologies use association rule methods to make real-time predictions and determine the materials required for leak plugging, thereby providing auxiliary decision-making for leak plugging site staff. However, they lack the screening of leak plugging and reinforcement materials based on actual geological and hydrological conditions, and thus cannot guarantee the conformity and adaptability of the required materials to the actual geological and hydrological conditions, and cannot guarantee the construction quality of leak plugging and reinforcement.

[0006] (2) Some existing technologies evaluate the leakage-disease correlation and the hazard level of each monitoring point, output treatment plans, and monitor the construction process in real time and make timely adjustments. However, they mainly judge the construction quality based on a single factor, which is somewhat one-sided and cannot accurately grasp the actual quality status of the leak-proof reinforcement construction.

[0007] (3) Existing technologies have neglected to analyze the performance degradation and adaptation of the required materials, and have also neglected the long-term stability of the quality after the plugging and reinforcement construction. As a result, they are unable to timely discover the safety hazards caused by the performance degradation and adaptation of the materials, and are unable to intuitively verify the actual effect of the plugging and reinforcement construction, and are unable to reduce accidents caused by leakage, structural deformation and other problems. Summary of the invention

[0008] In view of this, in order to solve the problems raised in the above background technology, a tunnel plugging and reinforcement construction quality detection and analysis system based on data statistics is proposed.

[0009] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a tunnel plugging and reinforcement construction quality detection and analysis system based on data statistics, including: a geological data analysis module, a material performance analysis module, a construction process quality analysis module, a long-term stability analysis module, a plugging and reinforcement construction quality analysis module and a cloud database.

[0010] The geological data analysis module is used to record the tunnel undergoing plugging and reinforcement construction as the target tunnel, extract the geological data of each leakage area belonging to the target tunnel from the cloud database, and analyze the various types of required materials and basic construction data of each leakage area belonging to the target tunnel based on this.

[0011] The material performance analysis module is used to track and record the various types of required materials in each leakage area of ​​the target tunnel in real time, obtain the monitoring performance data of each type of required materials in each leakage area of ​​the target tunnel in each test, analyze the performance attenuation and adaptation of each type of required materials in each leakage area of ​​the target tunnel, and provide feedback.

[0012] The construction process quality analysis module is used to record the construction processes of each leakage area of ​​the target tunnel during the plugging and reinforcement as the construction processes corresponding to the leakage areas of the target tunnel, monitor them in real time, obtain the monitoring construction data of each construction process corresponding to the leakage areas of the target tunnel, and analyze the quality indicators of each construction process corresponding to the leakage areas of the target tunnel.

[0013] The long-term stability analysis module is used to track and record after the plugging and reinforcement construction of each leakage area of ​​the target tunnel is completed, obtain the quality information parameters of each leakage area of ​​the target tunnel after each inspection after the plugging and reinforcement construction, and analyze the long-term stability of the quality of each leakage area of ​​the target tunnel after the plugging and reinforcement construction.

[0014] The plugging and reinforcement construction quality analysis module is used to analyze the comprehensive quality evaluation of the plugging and reinforcement construction in each leakage area of ​​the target tunnel.

[0015] The cloud database is used to store reference monitoring performance data under normal environmental conditions, store the standard coordinates of each measurement point in each leakage area of ​​the target tunnel, store the lithology of each required material set and each basic construction data corresponding to the stratum, the thickness range and distribution order of each layered stratum, the rock hardness range and the groundwater level range.

[0016] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention analyzes the various types of required materials and basic construction data of each leakage area of ​​the target tunnel, and selects suitable materials and construction plans according to the stratum lithology, rock characteristics and groundwater hydrology of different leakage areas, thereby avoiding problems such as recurrence of leakage caused by blind selection of materials and inappropriate construction plans.

[0017] 2. The present invention analyzes the performance attenuation and adaptation of various types of required materials in various leakage areas of the target tunnel, and understands whether the performance of various types of required materials is attenuated during the entire process of tunnel plugging and reinforcement and the adaptation of their performance, which is beneficial to avoid safety hazards caused by material performance attenuation or incompatibility, and helps to take remedial measures for various types of required materials in a timely manner.

[0018] 3. The present invention obtains the monitoring construction data of each construction process corresponding to each leakage area of ​​the target tunnel, analyzes the quality indicators of each construction process corresponding to each leakage area of ​​the target tunnel, and promptly detects whether the construction parameters deviate from the normal range. If they deviate from the normal range, they are corrected in time, avoiding more serious quality accidents caused by the accumulation of problems.

[0019] 4. The present invention analyzes the long-term quality stability of each leakage area of ​​the target tunnel after the plugging and reinforcement construction, and through long-term observation, intuitively verifies the actual effect of the plugging and reinforcement construction in long-term use, which is beneficial to ensure the integrity and long-term usability of the tunnel structure and reduce the frequency of tunnel plugging and reinforcement.

[0020] 5. The present invention analyzes the comprehensive quality evaluation of the plugging and reinforcement construction in each leakage area of ​​the target tunnel, and comprehensively considers the quality of the plugging and reinforcement construction from multiple dimensions such as material performance attenuation and adaptation, construction process quality indicators and long-term stability, thereby avoiding the one-sidedness of judging quality by relying solely on a single factor, accurately grasping the real quality status of the plugging and reinforcement construction in each leakage area, and facilitating the analysis of various factors to accurately locate the problem area and specific cause. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for describing the embodiments are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0023] Figure 2 It is a flow chart of the implementation of the system module of the present invention.

[0024] Figure 3 The flowchart for analyzing the performance degradation and adaptation of the required material of the present invention is shown in FIG. 1 , wherein (1) is the flowchart for analyzing the performance degradation of the required material; and (2) is the flowchart for analyzing the adaptation of the required material. DETAILED DESCRIPTION

[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] See also Figure 1 As shown, the present invention provides a tunnel plugging and reinforcement construction quality detection and analysis system based on data statistics, and the modules are distributed as follows: geological data analysis module, material performance analysis module, construction process quality analysis module, long-term stability analysis module, plugging and reinforcement construction quality analysis module and cloud database. Among them, the connection mode between the modules is: the geological data analysis module is connected to the material performance analysis module, the material performance analysis module is connected to the construction process quality analysis module, the construction process quality analysis module is connected to the long-term stability analysis module, the long-term stability analysis module is connected to the plugging and reinforcement construction quality analysis module, and the cloud database is connected to the geological data analysis module, the material performance analysis module and the long-term stability analysis module respectively.

[0027] The geological data analysis module is used to record the tunnel undergoing plugging and reinforcement construction as the target tunnel, extract the geological data of each leakage area belonging to the target tunnel from the cloud database, and analyze the various types of required materials and basic construction data of each leakage area belonging to the target tunnel based on this.

[0028] It should be noted that the system module implementation flow chart is as follows Figure 2 shown.

[0029] It should be further explained that the geological data of each leakage area of ​​the target tunnel includes stratum lithology, thickness and distribution sequence of each stratum, rock hardness and groundwater level.

[0030] As a specific example, the lithology of the formation includes but is not limited to igneous rock, sedimentary rock, metamorphic rock, etc.

[0031] The thickness and distribution order of the stratified strata may be as follows: first layer: residual soil, with a thickness of about 2-5 meters, located at the top layer. Second layer: strongly weathered granite, with a thickness of about 5-10 meters, located below the residual soil. Third layer: weakly weathered granite, with a relatively large thickness, generally 10-20 meters. Fourth layer: slightly weathered granite, located at the bottom layer, with a thickness depending on the specific situation, which is not limited in this embodiment.

[0032] The basic construction data of each leakage area of ​​the target tunnel includes standard values ​​of each monitoring construction data corresponding to each construction process.

[0033] As a preferred feasibility example, the specific method for obtaining the various types of required material types and basic construction data for each leakage area belonging to the target tunnel is: extract the stratum lithology, the thickness and distribution order of each layered stratum, the rock hardness and the groundwater level of each leakage area belonging to the target tunnel, and match them with the stratum lithology, the thickness range and distribution order of each layered stratum, the rock hardness range and the groundwater level range corresponding to each required material set and each basic construction data stored in the database, so as to obtain the required material set and basic construction data for each leakage area belonging to the target tunnel.

[0034] It needs to be further explained that the specific matching method of the required material set and the basic construction data of each leakage area belonging to the target tunnel is: if the stratum lithology, thickness and distribution order of each layered stratum, rock hardness and groundwater level of a leakage area belonging to the target tunnel respectively belong to the stratum lithology, thickness range and distribution order of each layered stratum, rock hardness range and groundwater level range corresponding to a certain required material set, then the required material set will be used as the required material set for the leakage area belonging to the target tunnel, and then the required material set for each leakage area belonging to the target tunnel is obtained.

[0035] Similarly, the basic construction data of each leakage area of ​​the target tunnel can be obtained.

[0036] In a specific example, if the stratum lithology of a leakage area of ​​the target tunnel is consistent with the stratum lithology corresponding to a certain required material set, it means that the stratum lithology of the leakage area of ​​the target tunnel belongs to the stratum lithology corresponding to the required material set. If the thickness of a layered stratum in a leakage area of ​​the target tunnel is greater than or equal to the minimum value of the thickness range of a layered stratum corresponding to a certain required material set and less than its maximum value, it means that the thickness of the layered stratum in the leakage area of ​​the target tunnel belongs to the thickness range of the layered stratum corresponding to the required material set.

[0037] The required material set includes various types of required material types.

[0038] The present invention analyzes the various types of required materials and basic construction data of each leakage area of ​​the target tunnel, selects suitable materials and construction plans according to the stratum lithology, rock characteristics and groundwater hydrology of different leakage areas, thereby avoiding problems such as recurrence of leakage caused by blind selection of materials and inappropriate construction plans.

[0039] The material performance analysis module is used to track and record various types of required materials in each leakage area of ​​the target tunnel in real time, obtain the monitoring performance data of various types of required materials in each leakage area of ​​the target tunnel in each test, analyze the performance attenuation and adaptation of various types of required materials in each leakage area of ​​the target tunnel, and provide feedback.

[0040] As a specific example, the various types of required materials include but are not limited to grouting materials, waterproof materials, reinforcement materials, and bonding materials.

[0041] The monitoring performance data of the grouting material include but are not limited to viscosity, gel interval time and compressive strength.

[0042] It should be noted that the specific method for obtaining the viscosity, gel interval time and compressive strength of the grouting material is: directly measuring the grouting material using a rotational viscometer to obtain the viscosity of the grouting material.

[0043] The gel interval time refers to the time from the start of material mixing to the formation of gel. According to the instructions for use of the grouting material, accurately weigh a certain amount of the components of the grouting material, quickly mix them evenly in a suitable container (such as a beaker or test tube), and record the starting time point, observe the state changes of the material. When the material begins to lose fluidity from a liquid state and forms a gel-like substance, record the ending time point, and then subtract the ending time point from the starting time point. The difference is the gel interval time of the grouting material.

[0044] Prepare the grouting material according to the specified mix ratio, inject it into a specific mold (such as a cubic mold with a side length of 100mm) to make a test piece of standard size. After the test piece is formed and cured, place the cured test piece in the center of the pressure plate of the pressure testing machine, and apply axial pressure to the test piece at a certain loading speed (for example, the loading speed of concrete test pieces is 0.5-1.0MPa / s) until the test piece is destroyed. Record the maximum pressure value when the test piece is destroyed, divide the maximum pressure value by the pressure-bearing area of ​​the test piece, and the ratio obtained is the compressive strength of the grouting material, where the pressure-bearing area of ​​the test piece is the square of the side length.

[0045] The monitoring performance data of the waterproof material include but are not limited to the anti-seepage grade and the like.

[0046] It should be noted that the specific method for obtaining the anti-seepage grade of the waterproof material is as follows: make an anti-seepage test piece from the waterproof material sample according to the standard requirements, install the prepared anti-seepage test piece on the test bench of the anti-seepage instrument, seal the side of the anti-seepage test piece, apply water pressure from the bottom of the test piece, the initial water pressure value is 0.1MPa, keep it for 2-3 hours, and observe whether there is water seepage from the test piece. If there is no seepage, increase the water pressure by 0.1MPa every 8 hours until the anti-seepage test piece seeps water, and record the water pressure value (MPa) when the anti-seepage test piece seeps water. The anti-seepage grade is represented by the letter "P", and the calculation formula is P=10H-1 (H is the water pressure value when the test piece seeps water). For example, when the water pressure reaches 0.8MPa, the test piece begins to seep water, and the anti-seepage grade P=10×0.8-1=7, that is, the anti-seepage grade is P7.

[0047] The monitoring performance data of the reinforcement material include but are not limited to tensile strength and the like.

[0048] It should be noted that the specific method for obtaining the tensile strength of the reinforcement material is: cutting a sample from the reinforcement material, recording it as a test sample, and then installing the test sample on the fixture of the universal material testing machine, starting the universal material testing machine, and starting the tensile test. During the test, the testing machine automatically records the maximum tensile force value when the test sample is broken, and records it as the tensile strength of the reinforcement material.

[0049] The monitoring performance data of the bonding material include but are not limited to shear strength and the like.

[0050] It should be noted that the specific method for obtaining the shear strength of the bonding material is: according to the instructions for use of the bonding material, accurately mix the bonding material, such as a two-component epoxy resin adhesive, strictly control the ratio of the two components, and evenly apply the bonding material on the bonding surface of the two base materials. The coating thickness is generally controlled between 0.5-2mm according to the material requirements. Then the two base materials are bonded in a prescribed manner to obtain a bonding specimen, which is placed in the shear fixture of the universal material testing machine, the universal material testing machine is started, and shear force is applied. During the test, the equipment automatically records the maximum shear force value when the bonding specimen is sheared and damaged, and records it as the shear strength of the bonding material.

[0051] As a preferred feasibility example, in the process of analyzing the performance attenuation of each type of required material in each leakage area of ​​the target tunnel, it is necessary to construct the performance attenuation index of the monitoring performance data of each type of required material in each leakage area of ​​the target tunnel. The specific analysis method is: extract the monitoring performance data of each type of required material in each leakage area of ​​the target tunnel in each test ,in , is the number of each leakage area, is the number of leakage areas, , The number of each type of required material, is the number of types of required materials, , It is the number of each test of the required material. The number of times the required materials are tested is used to analyze the performance attenuation index of the monitoring performance data of each type of required materials in each leakage area of ​​the target tunnel ,in The target tunnel belongs to The leakage area Type of required materials in Monitoring performance data of the test, is the allowable difference of the set monitoring performance data, It is the environmental correction factor corresponding to the monitoring performance data in the target tunnel environment.

[0052] As a preferred feasibility example, the specific analysis method of the monitoring performance data corresponding to the environmental correction factor in the target tunnel environment is: according to the analysis formula Obtain the environmental correction factors corresponding to each monitoring performance data under the target tunnel environment ,in Reference monitoring performance data under normal environmental conditions extracted from the cloud database.

[0053] As a preferred feasibility example, the specific analysis method for the performance attenuation of each type of demand material in each leakage area belonging to the target tunnel is: the performance attenuation indicators of the monitoring performance data of each type of demand material in each leakage area belonging to the target tunnel are compared with the set performance attenuation indicator threshold value respectively; if the performance attenuation indicator of the monitoring performance data of a certain type of demand material in a leakage area belonging to the target tunnel is less than the performance attenuation indicator threshold value, then the monitoring performance data of the type of demand material in the leakage area belonging to the target tunnel is recorded as the performance attenuation monitoring performance data of the type of demand material in the leakage area belonging to the target tunnel, and then the performance attenuation monitoring performance data of each type of demand material in each leakage area belonging to the target tunnel is obtained, and it is used as the performance attenuation of each type of demand material in each leakage area belonging to the target tunnel.

[0054] As a preferred feasibility example, in the process of analyzing the adaptation of various types of required materials in various leakage areas of the target tunnel, it is necessary to construct the adaptation index of various types of required materials in various leakage areas of the target tunnel in each test. The specific analysis method is: analyzing the adaptation index of various types of required materials in various leakage areas of the target tunnel in each test ,in The target tunnel belongs to The leakage area Standard monitoring performance data for each type of required material, It is the allowable difference between the set monitoring performance data and the standard monitoring performance data.

[0055] It should be further explained that the allowable difference between the monitoring performance data and the standard monitoring performance data may be 0.01, which means that a deviation of one percent is allowed between the monitoring performance data and the standard monitoring performance data.

[0056] As a preferred feasibility example, the specific analysis method for the adaptation status of each type of demand material in each leakage area belonging to the target tunnel is: the adaptation index of each type of demand material in each leakage area belonging to the target tunnel in each detection is compared with the set adaptation index threshold value; if the adaptation index of a certain type of demand material in a leakage area belonging to the target tunnel in a certain detection is less than the adaptation index threshold value, then the adaptation status of the monitoring performance data of this type of demand material in the leakage area belonging to the target tunnel in this detection is recorded as unsuitable, and then the adaptation status of the monitoring performance data of each type of demand material in each leakage area belonging to the target tunnel in each detection is obtained, and it is used as the adaptation status of each type of demand material in each leakage area belonging to the target tunnel.

[0057] It is necessary to further explain that the analysis flow chart of the performance attenuation and adaptation of the required materials is as follows: Figure 3 shown.

[0058] The present invention analyzes the performance attenuation and adaptation of various types of required materials in various leakage areas of the target tunnel, and understands whether the performance of various types of required materials is attenuated during the entire process of tunnel plugging and reinforcement and the adaptation of their performance, which is beneficial to avoid safety hazards caused by material performance attenuation or incompatibility, and helps to take remedial measures for various types of required materials in a timely manner afterwards.

[0059] The construction process quality analysis module is used to record the construction processes of each leakage area of ​​the target tunnel during the plugging and reinforcement as the construction processes corresponding to the leakage areas of the target tunnel, monitor them in real time, obtain the monitoring construction data of each construction process corresponding to the leakage areas of the target tunnel, and analyze the quality indicators of each construction process corresponding to the leakage areas of the target tunnel.

[0060] In a specific example, the construction processes include but are not limited to crack cleaning, grouting filling and surface protection.

[0061] The monitoring construction data of the crack cleaning include but are not limited to crack width, crack length and crack cleaning cleanliness.

[0062] It should be noted that the specific method for obtaining the crack width, crack length and crack cleaning cleanliness of the crack cleaning is: using a crack width gauge to directly measure the crack width and crack length of the crack cleaning.

[0063] Each professional inspector inspects and scores the cracks to obtain the crack cleaning cleanliness score of each professional inspector, which is further compared with the total crack cleaning cleanliness score to obtain the ratio of the crack cleaning cleanliness score of each professional inspector to the total score, and the average is processed to obtain the average ratio of the crack cleaning cleanliness score of the professional inspector to the total score, which is used as the crack cleaning cleanliness of crack cleaning.

[0064] The monitoring construction data of the grouting filling include but are not limited to grouting pressure, grouting volume and grouting speed.

[0065] It should be noted that the specific method for obtaining the grouting pressure, grouting volume and grouting speed of the grouting filling is: a pressure sensor is arranged on the grouting pipeline of the grouting equipment, and then the grouting pressure of the grouting filling is measured.

[0066] A flow meter is arranged on the grouting pipeline to directly measure the grouting volume of the grouting filling.

[0067] During the grouting process, the start and end time points of the grouting filling are recorded, the end time point is subtracted from the start time point to obtain the grouting interval duration of the grouting filling, the grouting volume of the grouting filling is divided by its grouting interval duration, and the obtained ratio is recorded as the grouting speed of the grouting filling.

[0068] The monitoring construction data of the surface protection include but are not limited to the thickness of the protective layer, the bonding strength of the protective material and the surface flatness.

[0069] It should be noted that the specific method for obtaining the thickness of the protective layer of the surface protection, the bonding strength of the protective material and the surface flatness is: directly measuring the thickness of the protective layer of the surface protection using a coating thickness gauge.

[0070] On the surface of the protective material after construction, use special bonding strength tester accessories to make a pull-out test piece, operate according to the instructions for use of the bonding material, bond the pull-out test piece, further connect the clamp of the pull-out strength tester with the pull rod of the pull-out test piece, start the pull-out strength tester, and apply the pull-out force at a uniform speed. During the pulling process, the instrument automatically records the pull-out force, records the pull-out force when the bonding surface is peeled off, and records it as divided by the bonding area. The ratio obtained is recorded as the bonding strength of the protective material for surface protection.

[0071] It should be explained that the pulling test piece is generally a metal disc (pulling head) with a pull rod bonded to the surface of the protective material. The area of ​​the disc is determined according to the test requirements and the properties of the protective material, usually 20-100cm².

[0072] The surface flatness of the surface protection is directly measured using a laser flatness meter.

[0073] As a preferred feasibility example, the specific analysis method of the quality indicators of each construction process corresponding to each leakage area of ​​the target tunnel is: extracting each monitoring construction data of each construction process corresponding to each leakage area of ​​the target tunnel ,in , is the number of each designated construction process, is the number of specified construction processes, , is the number of each monitoring construction data, To monitor the quantity of construction data, analyze the quality indicators of each construction process corresponding to each leakage area of ​​the target tunnel ,in The target tunnel belongs to The leakage area corresponds to The first construction process Monitoring construction data standard value, It is the allowable difference between the set monitoring construction data and the standard value of the monitoring construction data.

[0074] It should be further explained that the allowable difference between the monitoring construction data and the standard value of the monitoring construction data may be 0.01, which means that a deviation of one percent is allowed between the monitoring construction data and the standard value of the monitoring construction data.

[0075] The present invention acquires the monitoring construction data of each construction process corresponding to each leakage area of ​​the target tunnel, analyzes the quality indicators of each construction process corresponding to each leakage area of ​​the target tunnel, and promptly detects whether the construction parameters deviate from the normal range. If they deviate from the normal range, they are corrected in time, avoiding more serious quality accidents caused by the accumulation of problems.

[0076] The long-term stability analysis module is used to track and record after the plugging and reinforcement construction of each leakage area of ​​the target tunnel is completed, obtain the quality information parameters of each leakage area of ​​the target tunnel after each inspection after the plugging and reinforcement construction, and analyze the long-term stability of the quality of each leakage area of ​​the target tunnel after the plugging and reinforcement construction.

[0077] It needs to be further explained that the quality information parameters of each detection of each leakage area of ​​the target tunnel after the plugging and reinforcement construction include each monitored leakage parameter value and each monitored structural stability parameter value.

[0078] In a specific example, the monitored leakage parameters include but are not limited to leakage water volume and the number of leakage points.

[0079] The stability parameters of the monitoring structure include but are not limited to lining deformation, change in width of each crack, change in length of each crack and change in surrounding rock pressure.

[0080] It needs to be further explained that the specific method for obtaining the amount of leakage water and the number of leakage points detected in each leakage area of ​​the target tunnel after the plugging and reinforcement construction, as well as the lining deformation, the change in the width of each crack, the change in the length of each crack and the change in the surrounding rock pressure is: deploying a water collection device in each leakage area of ​​the target tunnel, measuring the collected water volume, and directly obtaining the amount of leakage water detected in each leakage area of ​​the target tunnel after the plugging and reinforcement construction.

[0081] Manual inspection is combined with instrument detection to count the specific number of leakage points in a specific leakage area, which is recorded as the number of leakage points detected in each leakage area of ​​the target tunnel after the plugging and reinforcement construction.

[0082] The coordinates of each measuring point detected in each leakage area of ​​the target tunnel after the plugging and reinforcement construction are directly measured by the deployed total station, and the coordinates are respectively compared with the standard coordinates of each measuring point in each leakage area of ​​the target tunnel stored in the cloud database according to the coordinate distance formula to obtain the offset of the coordinates of each measuring point detected in each leakage area of ​​the target tunnel after the plugging and reinforcement construction and its corresponding standard coordinates, which are recorded as the offset of each measuring point detected in each leakage area of ​​the target tunnel after the plugging and reinforcement construction, and the average is calculated to obtain the average offset of the measuring points detected in each leakage area of ​​the target tunnel after the plugging and reinforcement construction, which is recorded as the lining deformation of each leakage area of ​​the target tunnel after the plugging and reinforcement construction.

[0083] The crack width measuring instrument is used to directly measure the crack widths of each leakage area of ​​the target tunnel detected each time after the plugging and reinforcement construction, and the crack widths are recorded. The crack widths are further subtracted from the crack widths of each leakage area of ​​the target tunnel detected last time after the plugging and reinforcement construction. The difference values ​​are recorded as the changes in the crack widths of each leakage area of ​​the target tunnel detected each time after the plugging and reinforcement construction.

[0084] Similarly, the length changes of each crack in each leakage area of ​​the target tunnel detected after the plugging and reinforcement construction can be obtained.

[0085] A pressure cell is buried between the lining and surrounding rock of each leakage area of ​​the target tunnel. The pressure cell can sense the pressure of the surrounding rock on the lining and convert the pressure signal into an electrical signal or other measurable signal. By reading the measurement data of the pressure cell, the change in surrounding rock pressure of each leakage area of ​​the target tunnel after each plugging and reinforcement construction can be directly obtained.

[0086] As a preferred feasibility example, the specific analysis method of the long-term quality stability of each leakage area of ​​the target tunnel after the plugging and reinforcement construction is as follows: extract the monitoring leakage parameter values ​​and the monitoring structural stability parameter values ​​of each leakage area of ​​the target tunnel detected after the plugging and reinforcement construction from the quality information parameters, and record them as ,in , It is the number of each test after the plugging and reinforcement construction. The number of inspections after the plugging and reinforcement construction. , is the number of each monitoring leakage parameter, To monitor the number of leakage parameters, , is the number of each monitoring structure stability parameter, In order to monitor the number of structural stability parameters, the long-term stability of the quality of each leakage area of ​​the target tunnel after the plugging and reinforcement construction is analyzed. ,in The target tunnels are The leakage area after the plugging and reinforcement construction The permissible value of the leakage monitoring parameter and the A monitoring structure stability parameter value threshold.

[0087] The present invention analyzes the long-term quality stability of each leakage area of ​​the target tunnel after the plugging and reinforcement construction, and through long-term observation, intuitively verifies the actual effect of the plugging and reinforcement construction in long-term use, which is beneficial to ensure the integrity and long-term usability of the tunnel structure and reduce the frequency of tunnel plugging and reinforcement.

[0088] The plugging and reinforcement construction quality analysis module is used to analyze the comprehensive quality evaluation of the plugging and reinforcement construction in each leakage area of ​​the target tunnel.

[0089] As a preferred feasibility example, the specific analysis method for the comprehensive quality evaluation of the plugging and reinforcement construction of each leakage area belonging to the target tunnel is: extracting the performance attenuation and adaptation of various types of required materials in each leakage area belonging to the target tunnel.

[0090] The quality indicators of each construction process corresponding to each leakage area of ​​the target tunnel are extracted, and they are compared with the preset quality indicator thresholds respectively. The construction processes corresponding to each leakage area of ​​the target tunnel whose quality indicators are less than the quality indicator thresholds are screened out and recorded as unqualified construction processes corresponding to each leakage area of ​​the target tunnel.

[0091] The long-term quality stability of each leakage area of ​​the target tunnel after the plugging and reinforcement construction is extracted, and compared with the preset long-term quality stability threshold, so as to determine the long-term quality stability of each leakage area of ​​the target tunnel after the plugging and reinforcement construction.

[0092] It needs to be further explained that the specific method for determining the long-term quality stability of each leakage area belonging to the target tunnel after the plugging and reinforcement construction is: if the long-term quality stability of a leakage area belonging to the target tunnel after the plugging and reinforcement construction is less than the long-term quality stability threshold, then the long-term quality stability of the leakage area belonging to the target tunnel after the plugging and reinforcement construction is recorded as unstable; otherwise, the long-term quality stability of the leakage area belonging to the target tunnel after the plugging and reinforcement construction is recorded as stable.

[0093] Further, the performance attenuation and adaptation of various types of required materials in each leakage area of ​​the target tunnel, the corresponding unqualified construction processes in each leakage area of ​​the target tunnel and the long-term stability of the quality of each leakage area of ​​the target tunnel after the plugging and reinforcement construction are collectively referred to as the comprehensive quality evaluation of the plugging and reinforcement construction in each leakage area of ​​the target tunnel.

[0094] It is necessary to further explain that after obtaining the comprehensive quality evaluation of the plugging and reinforcement construction of each leakage area of ​​the target tunnel, certain measures are taken as follows: (1) Material performance: If the material performance attenuation exceeds the allowable range and affects the plugging and reinforcement effect, it is necessary to repair or replace the material locally; if the material is not compatible with the environment, re-evaluate the geological, hydrological and other conditions of the leakage area, select materials with better adaptability, and try to improve the use conditions of the material if the material cannot be replaced immediately. (2) Construction process: For areas where key construction parameters do not meet the standards, if it does not affect the overall structural safety, the parameters can be adjusted within the allowable range and construction can continue; for areas where the process is incomplete, the missing process links are immediately filled. (3) Long-term quality stability: If there is an increase in leakage or a new leakage point, the source of the leakage is found through non-destructive testing, observation and other methods. After the leakage source is determined, targeted repair measures are taken; for areas where structural deformation or crack development may affect structural safety, reinforcement measures are taken.

[0095] The cloud database is used to store reference monitoring performance data under normal environmental conditions, store the standard coordinates of each measurement point in each leakage area of ​​the target tunnel, store each required material set and each basic construction data corresponding to the stratum lithology, the thickness range and distribution order of each layered stratum, the rock hardness range and the groundwater level range.

[0096] The present invention analyzes the comprehensive quality evaluation of the plugging and reinforcement construction in each leakage area of ​​the target tunnel, comprehensively considers the quality of the plugging and reinforcement construction from multiple dimensions such as material performance attenuation and adaptation, construction process quality indicators and long-term stability, avoids the one-sidedness of judging quality by relying on a single factor, accurately grasps the real quality status of the plugging and reinforcement construction in each leakage area, and is conducive to analyzing various factors to accurately locate the area where the problem is and the specific cause.

[0097] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A tunnel plugging and reinforcement construction quality detection and analysis system based on data statistics, characterized by: include: The geological data analysis module is used to extract the geological data of each leakage area of ​​the target tunnel and analyze the corresponding material parameters and construction parameters of each type; The material performance analysis module is used to track the monitoring performance data of each required material in each test in real time, and analyze its performance attenuation rate and adaptability; The construction process quality analysis module is used to monitor the monitoring data of each construction process when implementing plugging and reinforcement in each leakage area of ​​the target tunnel, and calculate the quality indicators of each construction process; Long-term stability assessment module, used to obtain the quality parameters of each test after construction, and analyze the long-term stability of the quality of each leakage area after the plugging and reinforcement construction; The plugging and reinforcement construction quality analysis module is used to analyze the comprehensive quality evaluation of the plugging and reinforcement construction in each leakage area of ​​the target tunnel.

2. According to a data statistics-based tunnel plugging and reinforcement construction quality detection and analysis system according to claim 1, it is characterized by: The specific method for obtaining the required material parameters and construction parameters of each type corresponding to each leakage area of ​​the target tunnel is as follows: Extract the stratum lithology, thickness and distribution order of each stratum, rock hardness and groundwater level of each leakage area of ​​the target tunnel, and match them with the stratum lithology, thickness range and distribution order of each stratum, rock hardness range and groundwater level range corresponding to each required material set and each basic construction data stored in the database, and obtain the required material set and basic construction data of each leakage area of ​​the target tunnel; The required material set includes various types of required material types.

3. According to a data statistics-based tunnel plugging and reinforcement construction quality detection and analysis system as described in claim 2, it is characterized by: In the process of analyzing the performance attenuation of various types of demand materials in various leakage areas of the target tunnel, it is necessary to construct the performance attenuation index of the monitoring performance data of various types of demand materials in various leakage areas of the target tunnel. The specific analysis method is as follows: Extract the monitoring performance data of each type of required material in each leakage area of ​​the target tunnel during each test ,in , is the number of each leakage area, is the number of leakage areas, , The number of each type of required material, is the number of types of required materials, , It is the number of each test of the required material. The number of times the required materials are tested is used to analyze the performance attenuation index of the monitoring performance data of each type of required materials in each leakage area of ​​the target tunnel ,in The target tunnel belongs to The leakage area Type of required materials in Monitoring performance data of the test, is the allowable difference of the set monitoring performance data, It is the environmental correction factor corresponding to the monitoring performance data in the target tunnel environment.

4. According to the data statistics-based tunnel plugging and reinforcement construction quality detection and analysis system of claim 3, it is characterized by: The specific analysis method of the environmental correction factor corresponding to the monitoring performance data in the target tunnel environment is as follows: According to the analytical formula Obtain the environmental correction factors corresponding to each monitoring performance data under the target tunnel environment ,in Reference monitoring performance data under normal environmental conditions extracted from the cloud database.

5. The tunnel plugging and reinforcement construction quality detection and analysis system based on data statistics according to claim 3 is characterized by: The specific analysis method for the performance degradation of each type of required materials in each leakage area of ​​the target tunnel is as follows: The performance attenuation indicators of the monitoring performance data of each type of demand material in each leakage area of ​​the target tunnel are compared with the set performance attenuation indicator threshold value respectively; if the performance attenuation indicator of the monitoring performance data of a certain type of demand material in a leakage area of ​​the target tunnel is less than the performance attenuation indicator threshold value, the monitoring performance data of the type of demand material in the leakage area of ​​the target tunnel is recorded as the performance attenuation monitoring performance data of the type of demand material in the leakage area of ​​the target tunnel, and then the performance attenuation monitoring performance data of each type of demand material in each leakage area of ​​the target tunnel is obtained, which is used as the performance attenuation situation of each type of demand material in each leakage area of ​​the target tunnel.

6. The tunnel plugging and reinforcement construction quality detection and analysis system based on data statistics according to claim 5 is characterized by: In the process of analyzing the adaptability of various types of required materials in various leakage areas of the target tunnel, it is necessary to construct the adaptability index of various types of required materials in various leakage areas of the target tunnel in each test. The specific analysis method is as follows: Analyze the adaptability index of each type of required materials in each leakage area of ​​the target tunnel in each test ,in The target tunnel belongs to The leakage area Standard monitoring performance data for each type of required material, It is the allowable difference between the set monitoring performance data and the standard monitoring performance data.

7. The system for detecting and analyzing the quality of tunnel plugging and reinforcement construction based on data statistics according to claim 6 is characterized by: The specific analysis method for the adaptation of various types of required materials in each leakage area of ​​the target tunnel is as follows: The adaptation indexes of various types of demand materials in various leakage areas of the target tunnel in each detection are compared with the set adaptation index thresholds. If the adaptation index of a certain type of demand material in a leakage area of ​​the target tunnel in a certain detection is less than the adaptation index threshold, the adaptation status of the monitoring performance data of this type of demand material in the leakage area of ​​the target tunnel in this detection is recorded as unsuitable, and then the adaptation status of the monitoring performance data of various types of demand materials in various leakage areas of the target tunnel in each detection is obtained, and it is used as the adaptation status of various types of demand materials in various leakage areas of the target tunnel.

8. The system for detecting and analyzing the quality of tunnel plugging and reinforcement construction based on data statistics according to claim 7 is characterized in that: The specific analysis method of the quality indicators of each construction process corresponding to each leakage area of ​​the target tunnel is as follows: Extract the monitoring construction data of each leakage area corresponding to each construction process of the target tunnel ,in , is the number of each designated construction process, is the number of specified construction processes, , is the number of each monitoring construction data, To monitor the quantity of construction data, analyze the quality indicators of each construction process corresponding to each leakage area of ​​the target tunnel ,in The target tunnel belongs to The leakage area corresponds to The first construction process Monitoring construction data standard value, It is the allowable difference between the set monitoring construction data and the standard value of the monitoring construction data.

9. The system for detecting and analyzing the quality of tunnel plugging and reinforcement construction based on data statistics according to claim 8 is characterized in that: The specific analysis method for the long-term stability of the quality of each leakage area of ​​the target tunnel after the plugging and reinforcement construction is as follows: From the quality information parameters, the leakage monitoring parameter values ​​and the stability monitoring parameter values ​​of each leakage area of ​​the target tunnel after the plugging and reinforcement construction are extracted and recorded as ,in , It is the number of each test after the plugging and reinforcement construction. The number of inspections after the plugging and reinforcement construction. , is the number of each monitoring leakage parameter, To monitor the number of leakage parameters, , is the number of each monitoring structure stability parameter, In order to monitor the number of structural stability parameters, the long-term stability of the quality of each leakage area of ​​the target tunnel after the plugging and reinforcement construction is analyzed. ,in The target tunnels are The leakage area after the plugging and reinforcement construction The permissible value of the leakage monitoring parameter and the A monitoring structure stability parameter value threshold.

10. A tunnel plugging and reinforcement construction quality detection and analysis system based on data statistics according to claim 9, characterized in that The specific analysis method for the comprehensive quality evaluation of the plugging and reinforcement construction in each leakage area of ​​the target tunnel is as follows: Extract the performance attenuation and adaptability of various types of required materials in each leakage area of ​​the target tunnel; Extract the quality index of each construction process corresponding to each leakage area of ​​the target tunnel, compare them with the preset quality index threshold, screen out the construction processes corresponding to each leakage area of ​​the target tunnel whose quality index is less than the quality index threshold, and record them as unqualified construction processes corresponding to each leakage area of ​​the target tunnel; Extract the long-term quality stability of each leakage area of ​​the target tunnel after the plugging and reinforcement construction, and compare it with the preset long-term quality stability threshold to determine the long-term quality stability of each leakage area of ​​the target tunnel after the plugging and reinforcement construction; Further, the performance attenuation and adaptation of various types of required materials in each leakage area of ​​the target tunnel, the corresponding unqualified construction processes in each leakage area of ​​the target tunnel and the long-term stability of the quality of each leakage area of ​​the target tunnel after the plugging and reinforcement construction are collectively referred to as the comprehensive quality evaluation of the plugging and reinforcement construction in each leakage area of ​​the target tunnel.

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