Method, device, equipment and system for evaluating looseness of tunnel waterproof plate and medium

Abstract

The invention discloses a method, a device, equipment, a system and a medium for evaluating the relaxation degree of a tunnel waterproof board, and relates to the technical field of evaluation of the relaxation degree of the tunnel waterproof board, and the method comprises the steps: obtaining the vibration frequency borne by the waterproof board in a tunnel according to the collected geological pressure data and vibration data of the tunnel, and obtaining the relaxation degree of the waterproof board; and according to the vibration frequency, performing relaxation degree prediction on the waterproof board to obtain a relaxation degree evaluation result, generating a relaxation degree evaluation report based on the relaxation degree evaluation result, and evaluating the relaxation degree of the waterproof board based on the relaxation degree evaluation report. The slack degree of the waterproof board is collected and monitored in real time, post sampling inspection is not needed, the monitoring effect on the waterproof board is improved, and construction deviation can be found and corrected in time.

Description

Technical Field

[0001] This invention relates to the field of tunnel waterproofing membrane relaxation assessment technology, and particularly to a method, apparatus, equipment, system and medium for evaluating the relaxation of tunnel waterproofing membranes. Background Technology

[0002] As a crucial component of modern transportation infrastructure, tunnel engineering relies heavily on waterproofing systems, whose reliability directly impacts the tunnel's lifespan and operational safety. Waterproofing membranes, as the core component of the tunnel waterproofing system, are critical to ensuring effective waterproofing, particularly in terms of their installation quality and relaxation control. Traditional waterproofing membrane quality inspection techniques have evolved from relying entirely on manual experience to incorporating simple measuring tools, and then to attempting localized monitoring using single sensors. With the continuous expansion of tunnel construction scale and increasingly stringent quality requirements, higher precision, objectivity, and real-time performance are demanded in waterproofing membrane relaxation assessment technology, driving the field towards intelligent and digital development.

[0003] Currently, the relaxation degree assessment of tunnel waterproofing membranes mainly adopts the single-point sensor monitoring method, which installs pressure sensors or displacement sensors at key locations to monitor relaxation changes in local areas. However, due to the limited number of monitoring points, it is difficult to reflect the overall relaxation distribution of the waterproofing membrane. Furthermore, existing technologies for assessing the relaxation degree of tunnel waterproofing membranes are mostly based on post-construction sampling, lacking real-time monitoring capabilities during construction, and thus failing to promptly detect and correct construction deviations. Summary of the Invention

[0004] The main objective of this invention is to propose a method, apparatus, equipment, system, and medium for evaluating the relaxation degree of tunnel waterproofing membranes. This invention aims to solve the technical problem that existing testing methods for evaluating the relaxation degree of tunnel waterproofing membranes are mostly post-construction sampling inspections, lacking real-time monitoring capabilities during construction, and thus failing to promptly detect and correct construction deviations.

[0005] To achieve the above objectives, in a first aspect, the present invention proposes a method for evaluating the relaxation degree of tunnel waterproofing membranes, comprising the following steps: Based on the collected geological pressure data and vibration data of the tunnel, the vibration frequency of the waterproof membrane inside the tunnel is obtained. The relaxation degree of the waterproof membrane is predicted based on the vibration frequency to obtain the relaxation degree assessment result. A relaxation assessment report is generated based on the relaxation assessment results; wherein, the relaxation assessment report includes a relaxation distribution map, a relaxation cause analysis, and improvement suggestions; The relaxation degree of the waterproof membrane is assessed based on the relaxation degree assessment report.

[0006] In one embodiment, before the step of obtaining the vibration frequency of the waterproof membrane inside the tunnel based on the collected geological pressure data and vibration data of the tunnel, the method further includes: Structural data information inside the tunnel is collected using data acquisition equipment; wherein, the structural data information includes image data inside the tunnel, and surface data information of the waterproof membrane including indentation, deformation, and creases. Based on the structural data, the physical stress data and environmental impact data of the waterproof membrane are sampled and monitored in real time using a sensor module to obtain the geological pressure data and vibration data.

[0007] In one embodiment, the step of predicting the relaxation degree of the waterproof membrane based on the vibration frequency to obtain the relaxation degree assessment result includes: Based on the vibration frequency, a preset deep learning model is used to train the image data to identify the relaxation features of the waterproof membrane; The relaxation characteristics are used to predict the relaxation degree of the waterproof membrane, and the relaxation degree evaluation result is obtained.

[0008] In one embodiment, the step of using the relaxation features to predict the relaxation degree of the waterproof membrane and obtaining the relaxation degree assessment result includes: The relaxation characteristics are used to obtain the relaxation degree evaluation index of the waterproof membrane; The relaxation degree of the waterproof membrane is predicted based on the relaxation degree evaluation index, and a quantitative assessment result is output to obtain the relaxation degree assessment result; wherein, the quantitative assessment result includes the percentage of relative stress change and the proportion of the relaxed area.

[0009] In one embodiment, the step of obtaining the vibration frequency of the waterproof membrane inside the tunnel based on the collected geological pressure data and vibration data of the tunnel includes: Time-domain analysis was performed on the geological pressure data to extract the pressure change characteristic parameters of the geological pressure data; Frequency domain analysis is performed on the vibration data to extract the vibration frequency distribution characteristics of the vibration data; Based on the pressure change characteristic parameters and the vibration frequency distribution characteristics, the vibration frequency that the waterproof membrane is subjected to is calculated.

[0010] In one embodiment, after the step of assessing the relaxation degree of the waterproof membrane based on the relaxation degree assessment report, the method further includes: If the relaxation degree in the relaxation assessment result exceeds the preset relaxation threshold, an early warning message is generated and an alarm mechanism is triggered; wherein, the preset relaxation threshold is dynamically adjusted according to the service life of the tunnel, the geological conditions of the tunnel, and the material properties of the waterproof membrane; Based on the distribution of the degree of relaxation, the key monitoring areas of the waterproof membrane are determined, and the data collection frequency of the key monitoring areas is increased.

[0011] Based on the same technical concept, in a second aspect, the present invention also proposes a device for evaluating the relaxation degree of a tunnel waterproofing membrane, comprising: The data acquisition module is used to obtain the vibration frequency of the waterproof membrane inside the tunnel based on the collected geological pressure data and vibration data of the tunnel. The prediction module is used to predict the relaxation degree of the waterproof membrane based on the vibration frequency, and obtain the relaxation degree assessment result. The report generation module is used to generate a relaxation assessment report based on the relaxation assessment results; wherein, the relaxation assessment report includes a relaxation distribution map, relaxation cause analysis, and improvement suggestions; An evaluation module is used to evaluate the relaxation degree of the waterproof membrane based on the relaxation degree evaluation report.

[0012] Based on the same technical concept, in a third aspect, the present invention also proposes a tunnel waterproofing membrane relaxation evaluation device, which includes a processor and a memory. The memory stores a tunnel waterproofing membrane relaxation evaluation program. When the processor executes the tunnel waterproofing membrane relaxation evaluation program, it implements the tunnel waterproofing membrane relaxation evaluation method described in the first aspect.

[0013] Based on the same technical concept, in a fourth aspect, the present invention also proposes a tunnel waterproofing membrane relaxation assessment system, comprising: The tunnel waterproofing membrane relaxation evaluation device described in the third aspect; and... A data acquisition system is communicatively connected to the tunnel waterproof membrane relaxation evaluation device, which can control the data acquisition system to collect pressure data and vibration data of the tunnel waterproof membrane.

[0014] Based on the same technical concept, in a fifth aspect, the present invention also proposes a computer-readable storage medium storing a computer program, which, when executed by one or more processors, implements the tunnel waterproofing membrane relaxation evaluation method described in the first aspect.

[0015] The technical solution of this invention obtains the vibration frequency of the waterproof membrane inside the tunnel based on the collected geological pressure data and vibration data of the tunnel. It then predicts the relaxation degree of the waterproof membrane based on the vibration frequency, obtains a relaxation degree assessment result, generates a relaxation degree assessment report based on the assessment result, and evaluates the relaxation degree of the waterproof membrane based on the report. This invention enables real-time collection and monitoring of the relaxation degree of the waterproof membrane during tunnel waterproof membrane construction and subsequent operation, eliminating the need for post-construction spot checks, improving the monitoring effect of the waterproof membrane, and allowing for timely detection and correction of construction deviations. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0017] Figure 1 A flowchart of the tunnel waterproofing membrane relaxation evaluation method provided by the present invention; Figure 2 This is a schematic diagram of the structure of the tunnel waterproofing membrane relaxation evaluation device as an example of the present invention.

[0018] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0020] It should be noted that if the embodiments of the present invention involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a specific posture. If the specific posture changes, the directional indicators will also change accordingly.

[0021] Furthermore, if the embodiments of this invention involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the use of "and / or" or "and / or" throughout the text includes three parallel solutions. For example, "A and / or B" includes solution A, solution B, or a solution where both A and B are satisfied simultaneously. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by this invention.

[0022] In traditional tunnel waterproofing membrane quality inspection, the monitoring points are limited to key areas and the inspection is mostly done by sampling after the fact. The overall loose distribution of the waterproofing membrane cannot be accurately obtained, and the dynamic loosening changes during construction lack real-time monitoring capabilities. As a result, construction deviations cannot be identified and corrected in a timely manner, which in turn affects the reliability of the waterproofing system and the long-term durability of the tunnel structure.

[0023] For example, during the construction of a mountain tunnel, the geological conditions of the surrounding rock were unevenly distributed. The waterproof membrane was subjected to local pressure in the sidewall area, causing it to loosen. The existing technology only installed a single-point sensor at the arch top for monitoring, which failed to cover the loosening changes in the sidewall and bottom areas. The construction personnel judged the overall paving quality based on the limited monitoring data and failed to detect the loosening deviation in the sidewall area in time, resulting in potential leakage hazards in the subsequent concrete lining process.

[0024] This invention proposes a method, apparatus, equipment, and medium for evaluating the relaxation degree of tunnel waterproofing membranes.

[0025] Please see Figure 1 , Figure 2 To facilitate understanding, this method for evaluating the relaxation degree of tunnel waterproofing membrane includes the following steps: S100. Based on the collected geological pressure data and vibration data of the tunnel, obtain the vibration frequency of the waterproof membrane inside the tunnel. S200. Based on the vibration frequency, predict the relaxation degree of the waterproof membrane to obtain the relaxation degree assessment result; S300. Generate a relaxation assessment report based on the relaxation assessment results; wherein, the relaxation assessment report includes a relaxation distribution map, relaxation cause analysis, and improvement suggestions; S400. Evaluate the relaxation degree of the waterproof membrane based on the relaxation degree evaluation report.

[0026] Specifically, based on the collected geological pressure and vibration data of the tunnel, the vibration frequency experienced by the waterproofing membrane inside the tunnel is obtained. This process can be implemented in several ways. For example, it can be achieved through regular manual inspections, using handheld sensors to perform point measurements at different locations inside the tunnel, recording the geological pressure and vibration amplitude, and then estimating the vibration frequency through manual calculation or simple statistical methods. Another approach is to periodically record geological pressure and vibration signals during tunnel construction or operation using a pre-embedded array of simple sensors, such as resistance strain gauges or accelerometers. The raw data is then transmitted to a central processing unit, where preliminary data processing is performed, such as counting events exceeding a specific vibration amplitude by setting a threshold, thereby obtaining the vibration frequency.

[0027] The relaxation degree of the waterproof membrane is predicted based on vibration frequency to obtain a relaxation degree assessment result. The process can employ methods based on empirical models or simple statistical analysis. For example, a linear regression model built from historical tunnel data can be used, with the obtained vibration frequency as the input variable, directly outputting a relaxation degree index. Alternatively, a series of predefined vibration frequency intervals can be set, each interval corresponding to a relaxation degree level; when the vibration frequency falls into a certain interval, it is determined to be the corresponding relaxation degree. The method can provide preliminary relaxation degree assessment results, such as qualitative descriptions like "slight relaxation," "moderate relaxation," or "severe relaxation."

[0028] A relaxation assessment report is generated based on the relaxation assessment results. The report includes a relaxation distribution map, a relaxation cause analysis, and improvement recommendations. The process can be done manually by professionals based on the relaxation assessment results, combined with on-site observation and experience. The report may include a hand-drawn relaxation distribution diagram and a textual description of the relaxation areas. The relaxation cause analysis section can list possible factors contributing to relaxation, such as material aging, improper construction, or geological changes, based on the engineer's experience. Improvement recommendations can propose general maintenance measures, such as localized repairs or improved drainage.

[0029] The relaxation level of the waterproofing membrane is assessed based on the relaxation assessment report. This process can be conducted by experienced engineers or a team of experts who review and analyze the generated relaxation assessment report. Based on the relaxation distribution diagram, analysis of the causes of relaxation, and improvement suggestions provided in the report, combined with their professional knowledge and judgment, they will conduct a comprehensive qualitative assessment of the overall relaxation status of the waterproofing membrane, such as determining it to be "generally good, but some areas require attention" or "there is a widespread risk of relaxation, requiring immediate action."

[0030] In this embodiment, the vibration frequency of the waterproof membrane inside the tunnel is obtained by collecting geological pressure data and vibration data of the tunnel. The relaxation degree of the waterproof membrane is predicted based on the vibration frequency, and a relaxation degree assessment result is obtained. A relaxation degree assessment report is generated based on the relaxation degree assessment result, and the relaxation degree of the waterproof membrane is assessed based on the relaxation degree assessment report. This invention enables the real-time collection and monitoring of the relaxation degree of the waterproof membrane during the construction and subsequent operation of the tunnel waterproof membrane, eliminating the need for post-construction spot checks, improving the monitoring effect of the waterproof membrane, and enabling timely detection and correction of construction deviations.

[0031] In one embodiment, prior to step S100, the method further includes: S500. Collect structural data information inside the tunnel using a data acquisition device; wherein, the structural data information includes image data inside the tunnel, and surface depression data, deformation data, and crease data of the waterproof membrane. S600. Based on the structural data information, the sensor module is used to sample and monitor the physical stress data and environmental impact data of the waterproof membrane in real time to obtain the geological pressure data and the vibration data.

[0032] Specifically, data acquisition equipment can be used to obtain detailed physical state information of the tunnel interior, particularly the surface of the waterproofing membrane. The structural data is multi-dimensional and multi-modal, designed to comprehensively reflect the macroscopic and microscopic deformation characteristics of the waterproofing membrane. One implementation approach is to equip the data acquisition equipment with drones or robots equipped with high-resolution cameras to capture image data of the tunnel interior; simultaneously, integrate laser scanners or structured light sensors to acquire three-dimensional point cloud data of the waterproofing membrane surface, thereby extracting data on indentations, deformations, and creases. Alternatively, the data acquisition equipment can be a distributed sensor network fixedly mounted on the tunnel wall, including visual sensors (such as industrial cameras) and non-contact displacement sensors (such as ultrasonic sensors or millimeter-wave radar), periodically or in real-time acquiring image data and surface deformation data.

[0033] The image data in the structural data information can be two-dimensional images acquired by a visible light camera, used to identify macroscopic defects, color changes, cracks, etc., on the surface of the waterproof membrane. Indentation data, deformation data, and crease data can be obtained using 3D scanning technology (such as LiDAR or structured light scanning) to acquire high-precision 3D morphology of the waterproof membrane surface. By comparing this data with the initial design model or historical data, the depth of indentations, the degree of deformation, and the geometric characteristics of creases can be quantified. Alternatively, the image data can also be thermal images acquired by an infrared thermal imager, used to detect whether there are leaks or temperature anomalies caused by voids inside the waterproof membrane. Indentation data, deformation data, and crease data can be analyzed using machine vision-based image processing algorithms to identify and quantify features such as local indentations, overall deformation areas, and the length, width, and density of creases on the waterproof membrane surface.

[0034] The sensor module uses the acquired structural data as a reference to further obtain data on the physical stress and environmental impact of the waterproof membrane, thereby obtaining more accurate geological pressure and vibration data. The structural data can guide the deployment, calibration, or interpretation of the sensor module. As one implementation method, the sensor module may include strain gauges, fiber optic grating sensors (FBGs), etc., which can be directly attached or embedded on or inside the surface of the waterproof membrane to monitor changes in physical stress in different areas of the membrane in real time.

[0035] Simultaneously, accelerometers, seismic sensors, and other sensors can be integrated to collect vibration data of the waterproof membrane and its surrounding environment. Environmental impact data can be obtained through temperature sensors, humidity sensors, and piezometers. Alternatively, the sensor module can be an integrated unit based on a wireless sensor network (WSN), containing a miniature MEMS stress sensor, a triaxial accelerometer, and environmental parameter sensors (such as temperature and humidity sensors, and pore water pressure sensors). Sensors can be distributed and deployed in key areas of the waterproof membrane, transmitting real-time sampling data to a central processing unit via a wireless communication module. Physical stress data can be the tensile and compressive stress values ​​within the waterproof membrane material directly measured by strain sensors. Alternatively, physical stress data can be the localized pressure on the surface of the waterproof membrane indirectly measured by piezoelectric sensors or force sensors. Environmental impact data can include temperature, humidity, groundwater pressure, and the concentration of potentially corrosive chemical substances inside the tunnel. Alternatively, environmental impact data can also include seismic activity outside the tunnel, vibrations from surrounding construction, and aerodynamic effects caused by vehicle traffic.

[0036] In this embodiment, comprehensive structural data of the waterproofing membrane within the tunnel is collected using data acquisition equipment. This data encompasses various physical characteristics of the membrane, including image data, dent data, deformation data, and crease data. This structural data provides a foundation and reference for subsequent refined monitoring. Based on this, sensor modules are used to sample and monitor the physical stress and environmental impact data of the waterproofing membrane in real time, according to the acquired structural data. For example, based on deformation areas identified in the image data, the monitoring strategy of the sensor modules can be deployed or adjusted in a targeted manner to more accurately capture stress changes and vibration responses in those areas. This allows for more comprehensive and accurate acquisition of geological pressure and vibration data reflecting the actual stress state of the waterproofing membrane and the influence of the external environment. The refined geological pressure and vibration data are then used to determine the vibration frequency experienced by the waterproofing membrane, thereby improving the accuracy and reliability of subsequent relaxation prediction and assessment. Adopting a strategy of acquiring structural information first and then guiding sensor monitoring makes the data acquisition process more targeted and effective, avoiding data redundancy or omission of key information that may result from blind acquisition, thus providing high-quality input data for the entire relaxation evaluation method.

[0037] In one embodiment, step S200 includes: S210. Based on the vibration frequency, a preset deep learning model is used to train the image data to identify the relaxation features of the waterproof membrane. S220. The relaxation feature is used to predict the relaxation degree of the waterproof membrane, and the relaxation degree evaluation result is obtained.

[0038] Specifically, the preset deep learning model is a machine learning model that learns data representation through multi-layer neural networks. It can automatically extract features from large amounts of data and perform complex pattern recognition. This model can be a convolutional neural network (CNN), such as ResNet, VGG, or Inception architectures, which are particularly suitable for feature extraction and classification tasks of image data. Furthermore, in some scenarios, if time-series image data is combined for analysis, recurrent neural networks (RNNs) or their variants, such as Long Short-Term Memory networks (LSTM) or gated recurrent units (GRUs), can also be used. The main function of the preset deep learning model is to learn and identify the relaxation features of waterproof membranes from image data, automatically discovering relaxation patterns that are difficult for the human eye to perceive or quantify. The training of the image data aims to enable the deep learning model to learn the mapping relationship between image data and the relaxation features of the waterproof membrane. This is achieved through supervised learning, which provides a large amount of labeled image data, including images of normal waterproof membranes and images of waterproof membranes with different degrees of relaxation, accurately marking relaxation regions or relaxation types. The model parameters are adjusted through a backpropagation algorithm to accurately identify relaxation features. When data annotation is insufficient, semi-supervised or unsupervised learning can be used, such as pre-training a model using an autoencoder and then fine-tuning it with a small amount of labeled data. The identification of relaxation features of the waterproof membrane refers to obtaining visual information related to relaxation from the waterproof membrane image from a trained deep learning model.

[0039] Deep learning models can output pixel-level segmentation masks of relaxed regions in an image, or the bounding box coordinates of relaxed regions, as well as the type of relaxation, such as indentation data, deformation data, and crease data. Alternatively, they can output high-dimensional feature vectors extracted by the model, which characterize the degree and type of relaxation of the waterproofing membrane and can be used for relaxation prediction. The purpose of using relaxation features to predict the relaxation degree of the waterproofing membrane is to quantify or classify the degree of relaxation based on the identified relaxation features. By using identified relaxation features, such as the area of ​​the relaxed region, the depth of indentation, and the number of creases, as input, a regression model or classification model, such as a support vector machine, random forest, or another small neural network, is used to predict the specific relaxation value or relaxation level. In some implementations, the deep learning model can also directly output the relaxation evaluation results, that is, the identification of relaxation features and relaxation prediction are integrated into an end-to-end model during training.

[0040] In this embodiment, dynamic vibration frequency information is combined with static visual image information to achieve accurate prediction of the relaxation degree of the tunnel waterproofing membrane. After acquiring the vibration frequency experienced by the tunnel waterproofing membrane, the system does not directly predict the relaxation degree, but introduces deep learning analysis of the image data. A preset deep learning model is trained to identify the relaxation features of the waterproofing membrane from the acquired image data. These features directly reflect the physical state of the waterproofing membrane, such as dent data, deformation data, and crease data. Vibration frequency can serve as contextual information or auxiliary input, guiding the deep learning model's sensitivity to image feature recognition under specific vibration conditions, or as one of the inputs to the subsequent relaxation degree prediction model. By training the image data and identifying features through the deep learning model, the raw and complex image information can be transformed into structured and quantifiable relaxation features. These relaxation features are then used to predict the relaxation degree of the waterproofing membrane, resulting in a more accurate and reliable relaxation degree assessment. This method effectively overcomes the limitations that may exist in relying solely on vibration frequency, making relaxation degree prediction based not only on dynamic response but also on the actual physical deformation of the waterproofing membrane, thus providing a more comprehensive and refined evaluation perspective.

[0041] In one embodiment, step S220 includes: S221. Obtain the relaxation degree evaluation index of the waterproof membrane using the relaxation characteristics; S222. Based on the relaxation evaluation index, predict the relaxation degree of the waterproof membrane and output a quantitative evaluation result to obtain the relaxation degree evaluation result; wherein, the quantitative evaluation result includes the percentage of relative stress change and the area ratio of the relaxation region.

[0042] In this embodiment, when using relaxation features to predict the relaxation degree of the waterproof membrane, the process goes beyond simply identifying these features. It further transforms these qualitative features into quantifiable relaxation degree evaluation indicators. By deeply analyzing the relaxation features identified by the deep learning model—for example, by combining geometric information or physical stress data from image data—parameters that accurately reflect the degree of relaxation are extracted as relaxation degree evaluation indicators. Subsequently, based on these refined relaxation degree evaluation indicators, the system can use preset prediction models or rules to more accurately predict the relaxation degree of the waterproof membrane. The key to this process is the shift from "identifying relaxation" to "quantifying relaxation" through the introduction of relaxation degree evaluation indicators. For example, converting relaxation features into specific values ​​such as the percentage of relative stress change and the proportion of relaxed area makes the relaxation degree assessment results objective and comparable. Quantitative assessment not only clearly shows the current state of the waterproof membrane but also provides a solid data foundation for subsequent trend analysis and risk warning. This solution overcomes the limitations of prediction based solely on qualitative features, making the relaxation degree assessment results more accurate and reliable, thus providing a more operational basis for the maintenance and management of tunnel waterproof membranes.

[0043] In one embodiment, step S100 includes: S110. Perform time-domain analysis on the geological pressure data to extract the pressure change characteristic parameters of the geological pressure data; S120. Perform frequency domain analysis on the vibration data to extract the vibration frequency distribution characteristics of the vibration data; S130. Based on the pressure change characteristic parameters and the vibration frequency distribution characteristics, calculate the vibration frequency that the waterproof membrane is subjected to.

[0044] In this embodiment, time-domain analysis is performed on the collected geological pressure data to extract its pressure change characteristic parameters, and frequency-domain analysis is performed on the vibration data to extract its vibration frequency distribution characteristics. By decomposing the raw, complex time-domain signal into more physically meaningful characteristic parameters and frequency components, a deeper understanding of the stress environment of the waterproofing membrane and its vibration response can be achieved. By comprehensively utilizing these pressure change characteristic parameters and vibration frequency distribution characteristics, a more accurate and comprehensive model can be established to calculate the actual vibration frequencies experienced by the waterproofing membrane. This avoids the potential bias of a single data source, ensuring that the obtained vibration frequencies not only reflect the vibration state of the waterproofing membrane but also consider the dynamic influence of external geological pressure. This provides a more accurate and reliable input for subsequent relaxation prediction, significantly improving the scientific rigor and effectiveness of the entire evaluation method.

[0045] In one embodiment, after step S400, the method further includes: S700. If the relaxation degree in the relaxation assessment result is detected to exceed the preset relaxation threshold, an early warning message is generated and an alarm mechanism is triggered; wherein, the preset relaxation threshold is dynamically adjusted according to the service life of the tunnel, the geological conditions of the tunnel, and the material properties of the waterproof membrane. S800. Based on the distribution of the degree of relaxation, determine the key monitoring area of ​​the waterproof membrane and increase the data collection frequency of the key monitoring area.

[0046] In this embodiment, based on the relaxation degree assessment and report generation of the tunnel waterproofing membrane, an intelligent risk response and monitoring optimization mechanism is further constructed. First, the system continuously receives and analyzes the relaxation degree from the relaxation degree assessment results. To ensure the accuracy and adaptability of the early warning, the preset relaxation degree threshold is not fixed but dynamically adjusted according to the tunnel's service life, geological conditions, and the material properties of the waterproofing membrane. This dynamic adjustment mechanism allows the threshold to accurately reflect the current actual working conditions and risk level of the tunnel. Once the relaxation degree is detected to exceed this dynamically adjusted preset relaxation degree threshold, the system immediately generates an early warning message and triggers an alarm mechanism, thereby achieving an immediate response to potential risks and avoiding delays that may be caused by manual judgment. Simultaneously, the system intelligently identifies key monitoring areas for the waterproofing membrane using the detailed relaxation degree distribution information in the relaxation degree assessment report. This risk distribution-based regional division allows monitoring resources to be efficiently concentrated on the most critical areas. For these identified key monitoring areas, the system correspondingly increases the data acquisition frequency to obtain denser, more real-time monitoring data, thereby enabling a more precise understanding of the relaxation development trend in these high-risk areas. The proposed solution not only provides slackness assessment, but more importantly, it establishes a closed-loop management process from risk identification and early warning to precise monitoring, which significantly improves the intelligence and efficiency of tunnel waterproofing membrane safety management.

[0047] Based on the same technical concept, in a second aspect, the present invention also proposes a device for evaluating the relaxation degree of a tunnel waterproofing membrane, comprising: The data acquisition module is used to obtain the vibration frequency of the waterproof membrane inside the tunnel based on the collected geological pressure data and vibration data of the tunnel. The prediction module is used to predict the relaxation degree of the waterproof membrane based on the vibration frequency, and obtain the relaxation degree assessment result. The report generation module is used to generate a relaxation assessment report based on the relaxation assessment results; wherein, the relaxation assessment report includes a relaxation distribution map, relaxation cause analysis, and improvement suggestions; An evaluation module is used to evaluate the relaxation degree of the waterproof membrane based on the relaxation degree evaluation report.

[0048] The tunnel waterproofing membrane relaxation evaluation device provided in this application adopts the tunnel waterproofing membrane relaxation evaluation method in the above embodiments. It can solve the technical problem that in the prior art, when conducting tunnel waterproofing membrane relaxation evaluation, existing detection methods are mostly post-construction sampling inspections, lacking real-time monitoring capabilities during construction, and thus unable to promptly detect and correct construction deviations. Compared with the prior art, the beneficial effects of the tunnel waterproofing membrane relaxation evaluation device provided in this application are the same as those of the tunnel waterproofing membrane relaxation evaluation method provided in the above embodiments, and other technical features in the tunnel waterproofing membrane relaxation evaluation device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0049] Based on the same technical concept, in a third aspect, the present invention also proposes a tunnel waterproofing membrane relaxation evaluation device, which includes a processor and a memory. The memory stores a tunnel waterproofing membrane relaxation evaluation program. When the processor executes the tunnel waterproofing membrane relaxation evaluation program, it implements the tunnel waterproofing membrane relaxation evaluation method described in the first aspect.

[0050] The tunnel waterproofing membrane relaxation evaluation device in this application embodiment may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), vehicle terminals (such as vehicle control terminals), and fixed terminals such as digital TVs and desktop computers.

[0051] The tunnel waterproofing membrane relaxation evaluation device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the tunnel waterproofing membrane relaxation evaluation device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 allows the tunnel waterproofing membrane relaxation assessment device to communicate wirelessly or wiredly with other devices to exchange data. Although the figure shows a tunnel waterproofing membrane relaxation assessment device with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0052] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0053] The tunnel waterproofing membrane relaxation evaluation device provided in this application, employing the tunnel waterproofing membrane relaxation evaluation method described in the above embodiments, can solve the technical problem that existing detection methods, which are mostly post-construction sampling inspections and lack real-time monitoring capabilities during construction, cannot promptly detect and correct construction deviations when conducting tunnel waterproofing membrane relaxation assessments. Compared with the prior art, the beneficial effects of the tunnel waterproofing membrane relaxation evaluation device provided in this application are the same as those of the tunnel waterproofing membrane relaxation evaluation method provided in the above embodiments, and other technical features of this tunnel waterproofing membrane relaxation evaluation device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0054] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0055] Based on the same technical concept, in a fourth aspect, the present invention also proposes a tunnel waterproofing membrane relaxation assessment system, comprising: The tunnel waterproofing membrane relaxation evaluation device described in the third aspect; and... A data acquisition system is communicatively connected to the tunnel waterproof membrane relaxation evaluation device, which can control the data acquisition system to collect pressure data and vibration data of the tunnel waterproof membrane.

[0056] The tunnel waterproofing membrane relaxation assessment system provided in this application adopts the tunnel waterproofing membrane relaxation assessment method in the above embodiments. It solves the technical problem that existing detection methods for tunnel waterproofing membrane relaxation assessment are mostly post-construction sampling inspections, lacking real-time monitoring capabilities during construction, and thus unable to promptly detect and correct construction deviations. Compared with the prior art, the beneficial effects of the tunnel waterproofing membrane relaxation assessment system provided in this application are the same as those of the tunnel waterproofing membrane relaxation assessment method provided in the above embodiments. Furthermore, other technical features of this tunnel waterproofing membrane relaxation assessment system are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0057] Based on the same technical concept, in a fifth aspect, the present invention also proposes a computer-readable storage medium storing a computer program, which, when executed by one or more processors, implements the tunnel waterproofing membrane relaxation evaluation method described in the first aspect.

[0058] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0059] The aforementioned computer-readable storage medium may be included in the tunnel waterproofing membrane relaxation evaluation device; or it may exist independently and not assembled into the tunnel waterproofing membrane relaxation evaluation device.

[0060] The aforementioned computer-readable storage medium carries one or more programs, which, when executed by the tunnel waterproofing membrane relaxation evaluation device, enable the tunnel waterproofing membrane relaxation evaluation device to implement the tunnel waterproofing membrane relaxation evaluation method described above.

[0061] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0062] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0063] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0064] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described tunnel waterproofing membrane relaxation evaluation method. This addresses the technical problem in existing technologies where tunnel waterproofing membrane relaxation assessment is often conducted through post-construction sampling, lacking real-time monitoring capabilities and thus failing to promptly detect and correct construction deviations. Compared to existing technologies, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the tunnel waterproofing membrane relaxation evaluation method provided in the above embodiments, and will not be elaborated upon here.

[0065] The above description is merely an exemplary embodiment of the present invention and does not limit the scope of the present invention. Any equivalent structural transformations made based on the technical concept of the present invention and the contents of the specification and drawings of the present invention, or direct / indirect applications in other related technical fields, are included within the protection scope of the present invention.

Claims

1. A method for evaluating the relaxation degree of tunnel waterproofing membrane, characterized in that, Includes the following steps: Based on the collected geological pressure data and vibration data of the tunnel, the vibration frequency of the waterproof membrane inside the tunnel is obtained. The relaxation degree of the waterproof membrane is predicted based on the vibration frequency to obtain the relaxation degree assessment result. A relaxation assessment report is generated based on the relaxation assessment results; wherein, the relaxation assessment report includes a relaxation distribution map, a relaxation cause analysis, and improvement suggestions; The relaxation degree of the waterproof membrane is assessed based on the relaxation degree assessment report.

2. The method for evaluating the relaxation degree of tunnel waterproof membrane as described in claim 1, characterized in that, Before the step of obtaining the vibration frequency of the waterproof membrane inside the tunnel based on the collected geological pressure data and vibration data of the tunnel, the method further includes: Structural data information inside the tunnel is collected using data acquisition equipment; wherein, the structural data information includes image data inside the tunnel, and surface data information of the waterproof membrane including indentation, deformation, and creases. Based on the structural data, the physical stress data and environmental impact data of the waterproof membrane are sampled and monitored in real time using a sensor module to obtain the geological pressure data and vibration data.

3. The method for evaluating the relaxation degree of tunnel waterproof membrane as described in claim 2, characterized in that, The step of predicting the relaxation degree of the waterproof membrane based on the vibration frequency to obtain the relaxation degree assessment result includes: Based on the vibration frequency, a preset deep learning model is used to train the image data to identify the relaxation features of the waterproof membrane; The relaxation feature is used to predict the relaxation degree of the waterproof membrane, and the relaxation degree evaluation result is obtained.

4. The method for evaluating the relaxation degree of tunnel waterproof membrane as described in claim 3, characterized in that, The step of using the relaxation features to predict the relaxation degree of the waterproof membrane and obtaining the relaxation degree assessment result includes: The relaxation characteristics are used to obtain the relaxation degree evaluation index of the waterproof membrane; The relaxation degree of the waterproof membrane is predicted based on the relaxation degree evaluation index, and a quantitative assessment result is output to obtain the relaxation degree assessment result; wherein, the quantitative assessment result includes the percentage of relative stress change and the proportion of the relaxed area.

5. The method for evaluating the relaxation degree of tunnel waterproof membrane as described in claim 4, characterized in that, The step of obtaining the vibration frequency of the waterproof membrane inside the tunnel based on the collected geological pressure data and vibration data of the tunnel includes: Time-domain analysis was performed on the geological pressure data to extract the pressure change characteristic parameters of the geological pressure data; Frequency domain analysis is performed on the vibration data to extract the vibration frequency distribution characteristics of the vibration data; Based on the pressure change characteristic parameters and the vibration frequency distribution characteristics, the vibration frequency that the waterproof membrane is subjected to is calculated.

6. The method for evaluating the relaxation degree of tunnel waterproof membrane as described in claim 5, characterized in that, Following the step of assessing the relaxation degree of the waterproof membrane based on the relaxation degree assessment report, the method further includes: If the relaxation degree in the relaxation assessment result exceeds the preset relaxation threshold, an early warning message is generated and an alarm mechanism is triggered; wherein, the preset relaxation threshold is dynamically adjusted according to the service life of the tunnel, the geological conditions of the tunnel, and the material properties of the waterproof membrane; Based on the distribution of the degree of relaxation, the key monitoring areas of the waterproof membrane are determined, and the data collection frequency of the key monitoring areas is increased.

7. A device for evaluating the relaxation degree of tunnel waterproofing membrane, characterized in that, include: The data acquisition module is used to obtain the vibration frequency of the waterproof membrane inside the tunnel based on the collected geological pressure data and vibration data of the tunnel. The prediction module is used to predict the relaxation degree of the waterproof membrane based on the vibration frequency, and obtain the relaxation degree assessment result. The report generation module is used to generate a relaxation assessment report based on the relaxation assessment results; wherein, the relaxation assessment report includes a relaxation distribution map, relaxation cause analysis, and improvement suggestions; An evaluation module is used to evaluate the relaxation degree of the waterproof membrane based on the relaxation degree evaluation report.

8. A device for evaluating the relaxation degree of tunnel waterproofing membrane, characterized in that, The tunnel waterproofing membrane relaxation evaluation device includes a processor and a memory. The memory stores a tunnel waterproofing membrane relaxation evaluation program. When the processor executes the tunnel waterproofing membrane relaxation evaluation program, it implements the tunnel waterproofing membrane relaxation evaluation method as described in any one of claims 1 to 6.

9. A system for evaluating the relaxation degree of tunnel waterproofing membrane, characterized in that, include: The tunnel waterproofing membrane relaxation evaluation device as described in claim 8; as well as, A data acquisition system is communicatively connected to the tunnel waterproof membrane relaxation evaluation device, which can control the data acquisition system to collect pressure data and vibration data of the tunnel waterproof membrane.

10. A computer-readable storage medium, characterized in that, The storage medium stores a computer program, which, when executed by one or more processors, implements the tunnel waterproofing membrane relaxation evaluation method as described in any one of claims 1 to 6.

Images