BIM-based tunnel segment ovality repair effect evaluation system and method thereof

Abstract

The invention relates to the technical field of ovality analysis and processing decision systems, in particular to a BIM-based tunnel segment ovality repair effect evaluation system and method, and the system comprises a data collection module which is used for collecting node data in the whole life cycle of a tunnel, and constructing a tunnel multi-source heterogeneous data set; the intelligent analysis module is in communication connection with the data acquisition module and is used for receiving the multi-source heterogeneous data sent by the data acquisition module; analyzing segment ovality based on the three-dimensional point cloud data; constructing an ovality change prediction model; the processing scheme recommendation module is in communication connection with the intelligent analysis module and is used for recommending an ovality processing scheme based on the expert knowledge graph; the man-machine interaction module is in communication connection with the intelligent analysis module and the processing scheme recommendation module and is used for interactively displaying the intelligent analysis result; the method supports the input and optimization of an analysis model, can improve the processing efficiency and quality of the tunnel segment ovality problem, and can provide a new idea and tool for the overall management of tunnel engineering.

Description

Technical Field

[0001] The present invention relates to the technical field of ovality repair effect evaluation, and in particular to a BIM-based tunnel segment ovality repair effect evaluation system and method. Background Art

[0002] With the acceleration of urbanization, the development and utilization of underground space is becoming increasingly important, and tunnel engineering plays an increasingly important role in transportation, municipal administration and other fields. However, deformation problems are inevitable in tunnels during long-term use, especially the ovality of the segment structure, which not only affects the performance of the tunnel, but also may endanger its structural safety. Therefore, the accurate evaluation and effective repair of the ovality of tunnel segments has become an important topic in the engineering field.

[0003] Traditional tunnel segment ovality assessment methods mainly rely on manual measurement and empirical judgment. This method is not only time-consuming and labor-intensive, but also has limited accuracy, making it difficult to meet the increasing demand for refined management of modern tunnel engineering. With the development of technology, some advanced measurement equipment and analysis software have been introduced into this field, such as 3D laser scanning technology and computer-aided analysis software. The application of these technologies has significantly improved the efficiency and accuracy of data collection, but there are still many challenges in data processing and analysis.

[0004] In recent years, BIM (Building Information Modeling) technology has been widely used in the field of construction engineering, and its advantages in three-dimensional visualization, information integration and collaborative design have been fully recognized. However, there are relatively few studies on the application of BIM technology in tunnel segment ovality assessment and repair effect assessment. Some existing attempts mainly focus on the construction and visualization of BIM models, and there is a lack of systematic research on how to use BIM technology for in-depth data analysis and decision support.

[0005] In addition, existing tunnel segment ovality assessment methods often focus on static analysis and lack the ability to dynamically predict deformation trends. This makes it difficult for engineers to formulate forward-looking maintenance strategies and they can only passively respond to problems that have already occurred. At the same time, in terms of the formulation and evaluation of repair plans, existing methods usually rely on expert experience and lack scientific and systematic decision support tools.

[0006] In view of the above problems, the present invention proposes a BIM-based tunnel segment ovality repair effect evaluation system and method. The system aims to make full use of the advantages of BIM technology, combine advanced data analysis algorithms and multi-objective optimization technology, and realize accurate evaluation of tunnel segment ovality, deformation trend prediction and repair effect evaluation. Summary of the invention

[0007] The BIM-based tunnel segment ovality repair effect evaluation system provided by the present invention is designed to meet the above requirements. The system integrates functional modules such as data collection, intelligent analysis, treatment plan recommendation and human-computer interaction to achieve comprehensive, intelligent and dynamic management of tunnel segment ovality problems.

[0008] The present invention proposes a BIM-based tunnel segment ovality repair effect evaluation system, comprising:

[0009] Data entry module for:

[0010] Acquire tunnel segment geometry data, wherein the tunnel segment geometry data includes tunnel segment measurement point coordinates, measurement date, ring number, measurement point number, measurement point measurement data, BIM model map and tunnel segment initial geometry parameters;

[0011] A parameterized modeling module, connected to the data input module, is used to:

[0012] Receiving the tunnel segment geometry data sent by the data input module;

[0013] Based on the tunnel segment geometry data, construct a tunnel segment parametric BIM model;

[0014] The ellipticity calculation module is connected to the parameterized modeling module and is used to:

[0015] Calculating the ovality of the tunnel segment based on the tunnel segment parameterized BIM model;

[0016] The ellipticity analysis module is connected to the ellipticity calculation module and is used to:

[0017] Analyzing the distribution characteristics of the ovality of the tunnel segment;

[0018] The repair effect evaluation module is connected to the ellipticity analysis module and is used to:

[0019] Based on the distribution characteristics of the tunnel segment ovality, evaluating the tunnel segment repair effect;

[0020] The visual display module is connected to the repair effect evaluation module and is used to:

[0021] The evaluation results of the repair effect evaluation module are displayed in the form of dynamic charts.

[0022] Preferably, the parameterized modeling module comprises:

[0023] BIM modeling unit, used to generate visual models of tunnel segment components based on BIM design software;

[0024] An orthogonal projection unit, used for decomposing the visualization model into a two-dimensional matrix;

[0025] The parameter extraction unit is used to identify and extract component parameters from the two-dimensional matrix.

[0026] Preferably, the orthogonal projection unit decomposes the tunnel segment unit A into projections along the x, y, and z axes, and combines the projection images to form an orthogonal projection matrix P = (Px, Py, Pz), where Px, Py, and Pz are the projections of the tunnel segment unit A along the x, y, and z axes, respectively.

[0027] Preferably, the ellipticity calculation module comprises:

[0028] Long and short radius calculation unit, used to calculate the long radius and short radius of the tunnel segment;

[0029] The geometric center calculation unit is used to calculate the geometric center coordinates of the tunnel segment;

[0030] The center calculation unit is used to calculate the center coordinates of the tunnel segment;

[0031] The ellipticity calculation unit is used to calculate the ellipticity of the tunnel segment based on the major and minor radii, the geometric center coordinates and the circle center coordinates.

[0032] Preferably, the ellipticity analysis module comprises:

[0033] Extreme point analysis unit, used to analyze the extreme points of tunnel segment ellipticity;

[0034] Distribution analysis unit, used to analyze the ellipticity distribution of tunnel segments.

[0035] Preferably, the distribution analysis unit performs analysis in one of the following ways:

[0036] a) A polar coordinate system with the distance between the coordinates of the center of the tunnel segment and the coordinates of the measuring points on the tunnel segment as the radial coordinates, and a two-dimensional rectangular coordinate system with the ellipticity value of the tunnel segment as the angular coordinates;

[0037] b) A polar coordinate system with the coordinates of the tunnel segment measuring point to the geometric center of the tunnel segment as radial coordinates and a two-dimensional rectangular coordinate system with the tunnel segment ellipticity value as angular coordinates;

[0038] c) A polar coordinate system with the coordinates from the tunnel segment measuring point to the center of the tunnel segment as radial coordinates and a two-dimensional rectangular coordinate system with the tunnel segment ellipticity value as the angular coordinate.

[0039] Preferably, it further comprises a deformation analysis module connected to the parametric modeling module, for:

[0040] Calculate deformation based on orthogonal projection parameters;

[0041] Calculate displacement, rotation, and stress in a plane coordinate system based on component size and position;

[0042] Calculation of segment deformation based on stress.

[0043] Preferably, it further comprises a prediction module connected to the repair effect evaluation module, for:

[0044] Obtain historical monitoring data of tunnel structure deformation;

[0045] Establishing a time series model based on the historical monitoring data;

[0046] Predict future deformation trends of tunnel segments.

[0047] Preferably, the repair effect evaluation module comprises:

[0048] A repair scheme generating unit, used for generating a plurality of repair schemes;

[0049] A multi-objective optimization unit, used for evaluating the multiple repair solutions using a multi-objective optimization algorithm;

[0050] The optimal solution output unit is used to output the optimal repair solution.

[0051] The BIM-based tunnel segment ovality repair effect evaluation method includes the following steps:

[0052] S1. Acquire tunnel segment geometry data, wherein the tunnel segment geometry data includes tunnel segment measurement point coordinates, measurement date, ring number, measurement point number, measurement point measurement data, BIM model map and tunnel segment initial geometry parameters;

[0053] S2. constructing a parametric BIM model of the tunnel segment based on the tunnel segment geometry data;

[0054] S3. Calculate the ovality of the tunnel segment based on the parametric BIM model of the tunnel segment;

[0055] S4. Analyze the distribution characteristics of the ellipticity of the tunnel segment;

[0056] S5. Evaluate the repair effect of the tunnel segment based on the distribution characteristics of the tunnel segment ovality;

[0057] S6. Display the repair effect evaluation results in the form of dynamic charts.

[0058] The beneficial effects of the present invention are mainly reflected in the following aspects:

[0059] First, the present invention combines BIM technology with advanced algorithms such as parametric modeling and orthogonal projection to achieve high-precision processing and analysis of tunnel segment geometry data. This not only improves the accuracy of ellipticity calculation, but also provides a reliable data basis for subsequent analysis and decision-making. Compared with traditional methods, the system of the present invention can more comprehensively and accurately reflect the actual status of tunnel segments.

[0060] Secondly, the present invention introduces a deformation analysis module and a prediction module, which enables the system to have dynamic analysis and prediction capabilities. This enables engineers to discover potential problems in a timely manner and take preventive measures. In particular, the introduction of the prediction module fills the gap in the existing technology in deformation trend prediction and provides a scientific basis for formulating long-term maintenance strategies.

[0061] Furthermore, the repair effect evaluation module of the present invention adopts a multi-objective optimization algorithm, which can comprehensively consider multiple evaluation indicators, such as deformation control effect, economic cost, construction difficulty, etc. This method overcomes the limitations of traditional single indicator evaluation and can provide decision makers with more comprehensive and objective evaluation results.

[0062] In addition, the system of the present invention has good scalability and adaptability. By adjusting parameters and algorithms, the system can adapt to tunnel projects of different types and sizes and has broad application prospects.

[0063] Finally, the visualization module of the present invention converts complex analysis results into intuitive charts, greatly improving the readability and comprehensibility of information. This is not only beneficial to the analysis work of technicians, but also facilitates effective communication with decision makers with non-technical backgrounds.

[0064] In general, the system and method provided by the present invention have significant advantages in improving the accuracy of tunnel segment ovality assessment, predicting deformation trends, optimizing repair plans, etc., and are of great significance to improving the safety of tunnel projects, extending service life, and reducing maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a logic block diagram of the whole system of the present invention.

[0066] Figure 2 It is a logical block diagram of the parameterized modeling module of the present invention.

[0067] Figure 3 It is a logic block diagram of the ellipticity calculation module of the present invention.

[0068] Figure 4 It is a logic block diagram of the ellipticity analysis module of the present invention.

[0069] Figure 5It is a logic block diagram of the repair effect evaluation module of the present invention.

[0070] Figure 6 It is a logic block diagram of the prediction module of the present invention. DETAILED DESCRIPTION

[0071] See also Figure 1-6 The present invention provides a BIM-based tunnel segment ovality repair effect evaluation system and method. The system includes multiple functional modules and can realize full-process automation processing from data input to repair effect evaluation. The specific implementation method of the present invention will be described in detail below.

[0072] The system of the present invention comprises a data input module 1, a parameterized modeling module 2, an ellipticity calculation module 3, an ellipticity analysis module 4, a repair effect evaluation module 5 and a visual display module 6. These modules are closely connected through data interfaces to form a complete data processing chain.

[0073] Data input module 1 is used to obtain the geometric data of the tunnel segment. These data include the coordinates of the tunnel segment measurement points, the measurement date, the ring number, the measurement point number, the measurement data of the measurement point, the BIM model map, and the initial geometric parameters of the tunnel segment. For example, the measurement point coordinates may include the three-dimensional coordinate values ​​of hundreds of spatial points, the measurement date is usually in the format of "year-month-day", the ring number and the measurement point number are integer numbers, and the measurement data of the measurement point may include displacement, stress and other physical quantities. The BIM model map is a three-dimensional visual representation of the tunnel structure, and the initial geometric parameters may include key dimensions such as the thickness, inner and outer diameters of the segment. These comprehensive input data lay a solid foundation for subsequent analysis.

[0074] The parametric modeling module 2 is connected to the data input module 1, and is used to receive the input geometric data and construct the parametric BIM model of the tunnel segment. This process can be understood as converting discrete measurement data into a continuous mathematical model. The parametric BIM model not only contains the geometric information of the tunnel segment, but also contains non-geometric information such as material properties and construction technology, making the subsequent analysis more comprehensive and accurate.

[0075] The ellipticity calculation module 3 calculates the ellipticity of the tunnel segment based on the parametric BIM model. The ellipticity is an important indicator for evaluating the deformation degree of the tunnel segment. Generally, the ellipticity can be calculated by the following formula:

[0076]

[0077] Where E is the ellipticity, D max is the maximum diameter, D min is the minimum diameter. When the ovality exceeds a certain threshold (e.g. 1%), repair may be required.

[0078] The ellipticity analysis module 4 is responsible for analyzing the distribution characteristics of ellipticity. This may include statistical analysis (such as mean, standard deviation), spatial distribution analysis (such as heat map) and other methods. Through these analyses, areas with more serious deformation can be identified to provide guidance for subsequent repair work.

[0079] The repair effect evaluation module 5 evaluates the repair effect of the tunnel segment based on the distribution characteristics of the ovality. This process may involve multiple evaluation indicators, such as the degree of improvement in ovality, improvement in structural stability, etc. The evaluation results can be used to determine whether the repair is successful and whether further repair work is needed.

[0080] Finally, the visualization module 6 displays the evaluation results in the form of dynamic charts, which may include three-dimensional models, two-dimensional cross-sectional diagrams, time series diagrams, etc., making the evaluation results more intuitive and easy to understand.

[0081] In one embodiment of the present invention, the parametric modeling module 2 includes a BIM modeling unit 21, an orthogonal projection unit 22, and a parameter extraction unit 23. These three units together complete the conversion process from original data to a parametric model.

[0082] In one embodiment of the present invention, the BIM modeling unit 21 generates a visualization model of the tunnel segment component based on the BIM design software. This process usually involves three-dimensional modeling technology, and may use professional BIM software such as Revit and Tekla. The generated visualization model contains not only geometric information, but also non-geometric information such as material properties and construction technology.

[0083] The orthogonal projection unit 22 decomposes the visualization model into a two-dimensional matrix. The purpose of this step is to simplify the complex three-dimensional structure into two-dimensional data that is easy to process. Orthogonal projection is a commonly used dimensionality reduction technique that can retain the main features of the structure.

[0084] The parameter extraction unit 23 identifies and extracts component parameters from the two-dimensional matrix. These parameters may include geometric dimensions (such as length, width, thickness), position information (such as coordinates, angles), etc. The parameter extraction process may involve image processing and pattern recognition technology.

[0085] In one embodiment of the present invention, the orthogonal projection unit 22 uses a specific mathematical model to implement projection. Specifically, it decomposes the tunnel segment unit A into projections along the x, y, and z axes, and combines these projection images into an orthogonal projection matrix P = (Px, Py, Pz). Here, Px, Py, and Pz represent the projections of the tunnel segment unit A along the x, y, and z axes, respectively.

[0086] This orthogonal projection method has several advantages. First, it preserves the main features of the structure, making subsequent analysis more accurate. Second, it transforms a three-dimensional problem into three two-dimensional problems, greatly simplifying the computational complexity. Finally, this method facilitates visualization and intuitive understanding.

[0087] For example, if the tunnel segment unit A is a cylinder, then Px may be a rectangle, and Py and Pz may be circles. By analyzing these projections, we can get key parameters such as the diameter and height of the cylinder.

[0088] In practical applications, the accuracy of orthogonal projection is crucial for subsequent analysis. Therefore, the present invention preferably uses a high-precision projection algorithm, for example, the least squares method can be used to fit the projection profile to reduce the impact of measurement errors. At the same time, in order to deal with possible data noise, filtering technology can be used to pre-process the projection image.

[0089] In general, the system of the present invention realizes the automation of the whole process from raw data to repair effect evaluation through the collaborative work of these modules. This not only improves the efficiency and accuracy of the evaluation, but also provides a reliable decision-making basis for the maintenance and repair of tunnel segments. Next, we will continue to introduce other key components of the system and their working principles in detail. In the preferred embodiment of the present invention, the structure of the ellipticity calculation module 3 includes a long and short radius calculation unit 31, a geometric center calculation unit 32, a circle center calculation unit 33 and an ellipticity calculation unit 34. These units work together to achieve accurate calculation of the ellipticity of the tunnel segment.

[0090] The long and short radius calculation unit 31 is responsible for calculating the long radius and short radius of the tunnel segment. In practical applications, these two parameters are crucial for evaluating the degree of tunnel deformation. Preferably, this unit uses a least squares fitting algorithm to calculate these radii. Specifically, the following formula can be used:

[0091]

[0092] Where R is the fitting radius, (x i ,y i ) is the coordinate of the measuring point, (x c ,y c ) is the coordinate of the fitting center, and n is the number of measuring points. By comparing the multiple radii obtained by fitting, the long radius and the short radius can be determined.

[0093] The geometric center calculation unit 32 is used to calculate the geometric center coordinates of the tunnel segment. This center point is usually defined as the average value of all measurement point coordinates. That is:

[0094]

[0095] Among them, (x g ,y g ) are the geometric center coordinates.

[0096] The center calculation unit 33 is responsible for calculating the center coordinates of the tunnel segment. This center is usually obtained by a least squares circle fitting algorithm. Preferably, the present invention adopts an improved Taubin algorithm, which has high computational efficiency and numerical stability.

[0097] Finally, the ellipticity calculation unit 34 calculates the ellipticity of the tunnel segment based on the above calculation results using the following formula:

[0098]

[0099] Where E is the ellipticity, R max x and R min are the long radius and the short radius respectively.

[0100] In one embodiment of the present invention, the ellipticity analysis module 4 includes an extreme point analysis unit 41 and a distribution analysis unit 42. These two units together complete an in-depth analysis of the ellipticity of the tunnel segment.

[0101] The extreme point analysis unit 41 is mainly responsible for identifying the local maximum and minimum values ​​of the ellipticity. These extreme points often correspond to the locations where the deformation is the most serious or the slightest, and therefore are of great significance for guiding the repair work. Preferably, this unit uses a sliding window method to identify local extreme values, and uses threshold filtering to remove the influence of noise. For example, points where the ellipticity changes by more than 0.5% can be set as potential extreme points. This threshold is determined based on engineering experience and can be adjusted according to specific project requirements.

[0102] The distribution analysis unit 42 is responsible for analyzing the overall distribution characteristics of the ellipticity. This unit can adopt a variety of analysis methods to provide comprehensive distribution information.

[0103] Preferably, the method of the present invention can use these three analysis methods at the same time and compare the results to obtain more comprehensive ellipticity distribution information. For example, method a) can intuitively show the change of ellipticity with circumferential position, method b) can reflect the relationship between ellipticity and geometric center, and method c) can reveal the deviation of ellipticity from the ideal circle. By combining this information, a deeper understanding of the deformation state of the tunnel segment can be obtained.

[0104] In practical applications, these analysis results are usually presented in the form of heat maps, polar coordinate maps, or three-dimensional surface maps, so that engineers can intuitively understand the distribution characteristics of ellipticity. For example, the depth of color can be used to represent the size of the ellipticity, with red representing areas with larger ellipticity and blue representing areas with smaller ellipticity. This visualization method can quickly identify areas that need to be focused on.

[0105] In another preferred embodiment of the present invention, the system further comprises a deformation analysis module 7. This module is connected to the parametric modeling module 2 and is used to perform a more in-depth deformation analysis. The introduction of the deformation analysis module 7 enables the system to not only evaluate the ovality but also analyze a wider range of deformation characteristics, thereby providing a more comprehensive basis for the repair of the tunnel segment.

[0106] The deformation analysis module 7 first calculates the deformation based on the orthogonal projection parameters. This step uses the projection matrix obtained by the orthogonal projection unit 22. By comparing the projection parameters at different time points, the deformation of the tunnel segment in each direction can be obtained.

[0107] Next, the module calculates displacements, rotations, and stresses in the plane coordinate system based on the component size and position. This step takes into account the actual geometric characteristics of the tunnel segment and can more accurately reflect its deformation state. For example, the displacement can be calculated using the following formula:

[0108]

[0109] Among them, (x1, y1, z1) and (x2, y2, z2) are the coordinates before and after deformation respectively.

[0110] Finally, the deformation analysis module 7 calculates the deformation of the segment based on the calculated stress. This step introduces the principle of material mechanics and considers the relationship between stress and deformation. Preferably, Hooke's law can be used to describe this relationship:

[0111]

[0112] Among them, ε is strain, v is stress, and E is elastic modulus.

[0113] Through these steps, the deformation analysis module 7 can provide detailed information on the deformation of the tunnel segment, including deformation amount, deformation direction, stress distribution, etc. This information combined with the ellipticity analysis results can provide a more comprehensive scientific basis for the formulation of a repair strategy for the tunnel segment. In another embodiment of the present invention.

[0114] The system also includes a prediction module 8. This module is connected to the repair effect evaluation module 5 and is used to predict the future deformation trend of the tunnel segment. The introduction of the prediction module 8 enables the system to not only evaluate the current state, but also make scientific predictions about the future, thereby providing an important basis for long-term maintenance decisions.

[0115] In another preferred embodiment of the present invention, the prediction module 8 first obtains historical monitoring data of tunnel structure deformation. These data usually include information such as ellipticity change and displacement change over a period of time. Preferably, this module can directly extract these historical data from the database of the system to ensure the consistency and reliability of the data.

[0116] Next, the prediction module 8 establishes a time series model based on the historical monitoring data. In practical applications, a variety of time series models can be selected, such as the autoregressive moving average model (ARMA), the seasonal autoregressive integrated moving average model (SARIMA), etc. The selection of a suitable model requires consideration of the characteristics of the data, such as whether there is a trend, whether there is seasonal change, etc. For example, if the data shows obvious periodic changes, the SARIMA model can be given priority.

[0117] The mathematical expression of the model can be summarized as follows:

[0118] X t =φ1X t-1 +φ2X t-2 +...+φ p X t-p +ε t +θ1ε t-1 +θ2ε t-2 +...+θ q ε t-q

[0119] Among them, X t is the observed value at time t, φ i and θ i are the autoregressive and moving average parameters, ε t is white noise.

[0120] After the model is established, the prediction module 8 uses the model to predict the future deformation trend of the tunnel segment. The prediction results usually include point prediction values ​​and prediction intervals to reflect the uncertainty of the prediction. These prediction results can be presented in the form of charts to intuitively show the deformation trend.

[0121] In a preferred embodiment of the present invention, the repair effect evaluation module 5 includes a repair solution generation unit 51, a multi-objective optimization unit 52 and an optimal solution output unit 53. This structural design enables the system to automatically generate and evaluate multiple repair solutions, thereby selecting the optimal repair strategy.

[0122] The repair scheme generation unit 51 is responsible for generating a variety of possible repair schemes. These schemes may involve different repair technologies, such as grouting reinforcement, lining thickening, steel plate reinforcement, etc. Each scheme has its specific parameters, such as the type and amount of grouting material, the thickness of thickening, the specifications of the steel plate, etc. Preferably, this unit can automatically generate these schemes based on preset rules and historical experience.

[0123] The multi-objective optimization unit 52 uses a multi-objective optimization algorithm to evaluate the generated repair scheme. In practical applications, the evaluation of the repair effect usually needs to consider multiple objectives, such as deformation control effect, economic cost, construction difficulty, etc. These objectives may conflict, for example, a scheme with good effect may have a high cost. Therefore, a multi-objective optimization algorithm is needed to balance these objectives.

[0124] Preferably, the present invention adopts an improved non-dominated sorting genetic algorithm (NSGA-II) to perform multi-objective optimization. The main steps of the algorithm include:

[0125] 1. Initialize the population

[0126] 2. Perform non-dominated sorting

[0127] 3. Calculate the crowding distance

[0128] 4. Select

[0129] 5. Crossover and mutation

[0130] 6. Merge parent and child populations

[0131] 7. Repeat steps 2-6 until the termination condition is met

[0132] The objective function of the algorithm can be expressed as:

[0133] minF(x)=(f1(x),f2(x),...,f m (x))

[0134] Among them, x represents the decision variable (i.e., the parameter of the repair solution), f i (x) represents the i-th objective function.

[0135] The optimal solution output unit 53 is responsible for selecting and outputting the optimal repair solution from the optimization results. Since the result of multi-objective optimization is usually a Pareto optimal set, further decision-making is required to select the final solution. Preferably, this unit can use fuzzy comprehensive evaluation method to make the final decision, comprehensively considering the importance of each goal and the decision maker's preference.

[0136] Finally, the invention also provides a BIM-based tunnel segment ovality repair effect evaluation method. The method includes six main steps, corresponding to the various modules of the system, and realizes the complete process from data acquisition to repair effect evaluation.

[0137] Step S1 is to obtain the geometric data of the tunnel segment, which is the basis of the entire evaluation process. Preferably, high-precision three-dimensional laser scanning technology can be used to obtain these data to ensure the accuracy and comprehensiveness of the data.

[0138] Step S2 constructs a parametric BIM model of the tunnel segment. This step converts discrete measurement data into a continuous mathematical model, providing a basis for subsequent analysis. In practical applications, professional BIM software such as Revit or Tekla can be used to complete this step.

[0139] Step S3 calculates the ovality of the tunnel segment. This step uses the ovality calculation method described above to obtain the ovality value of each position of the tunnel segment.

[0140] Step S4 analyzes the distribution characteristics of the tunnel segment ellipticity. This step uses a variety of analysis methods, such as polar coordinate analysis, thermal map analysis, etc., to fully understand the distribution of ellipticity.

[0141] Step S5 evaluates the repair effect of the tunnel segment. This step comprehensively considers multiple factors such as the degree of improvement in ovality and the improvement in structural stability, and conducts a comprehensive evaluation of the repair effect.

[0142] Step S6 displays the restoration effect evaluation results in the form of dynamic charts. This step converts the complex evaluation results into intuitive visual representations, which are easy for decision makers to understand and use.

[0143] Through these six steps, this method achieves a comprehensive, scientific and intuitive evaluation of the repair effect of tunnel segment ovality. This method not only improves the efficiency and accuracy of the evaluation, but also provides a reliable basis for tunnel maintenance decision-making, and has important practical application value.

[0144] It should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. The BIM-based tunnel segment ovality repair effect evaluation system is characterized by: include: Data entry module for: Acquire tunnel segment geometry data, wherein the tunnel segment geometry data includes tunnel segment measurement point coordinates, measurement date, ring number, measurement point number, measurement point measurement data, BIM model map and tunnel segment initial geometry parameters; A parameterized modeling module, connected to the data input module, is used to: Receiving the tunnel segment geometry data sent by the data input module; Based on the tunnel segment geometry data, construct a tunnel segment parametric BIM model; The ellipticity calculation module is connected to the parameterized modeling module and is used to: Calculating the ovality of the tunnel segment based on the tunnel segment parameterized BIM model; The ellipticity analysis module is connected to the ellipticity calculation module and is used to: Analyzing the distribution characteristics of the ovality of the tunnel segment; The repair effect evaluation module is connected to the ellipticity analysis module and is used to: Based on the distribution characteristics of the tunnel segment ovality, evaluating the tunnel segment repair effect; The visual display module is connected to the repair effect evaluation module and is used to: The evaluation results of the repair effect evaluation module are displayed in the form of dynamic charts.

2. The system according to claim 1, characterized in that The parametric modeling module includes: BIM modeling unit, used to generate visual models of tunnel segment components based on BIM design software; An orthogonal projection unit, used for decomposing the visualization model into a two-dimensional matrix; The parameter extraction unit is used to identify and extract component parameters from the two-dimensional matrix.

3. The system according to claim 2, characterized in that The orthogonal projection unit decomposes the tunnel segment unit A into projections along the x, y, and z axes, and combines the projection images to form an orthogonal projection matrix P = (Px, Py, Pz), where Px, Py, and Pz are the projections of the tunnel segment unit A along the x, y, and z axes, respectively.

4. The system according to claim 1, characterized in that The ellipticity calculation module comprises: Long and short radius calculation unit, used to calculate the long radius and short radius of the tunnel segment; The geometric center calculation unit is used to calculate the geometric center coordinates of the tunnel segment; The center calculation unit is used to calculate the center coordinates of the tunnel segment; The ellipticity calculation unit is used to calculate the ellipticity of the tunnel segment based on the major and minor radii, the geometric center coordinates and the circle center coordinates.

5. The system according to claim 1, characterized in that The ellipticity analysis module comprises: Extreme point analysis unit, used to analyze the extreme points of tunnel segment ellipticity; Distribution analysis unit, used to analyze the ellipticity distribution of tunnel segments.

6. The system according to claim 5, characterized in that The distribution analysis unit performs analysis in one of the following ways: a) A polar coordinate system with the distance between the coordinates of the center of the tunnel segment and the coordinates of the measuring points on the tunnel segment as the radial coordinates, and a two-dimensional rectangular coordinate system with the ellipticity value of the tunnel segment as the angular coordinates; b) A polar coordinate system with the coordinates of the tunnel segment measuring point to the geometric center of the tunnel segment as radial coordinates and a two-dimensional rectangular coordinate system with the tunnel segment ellipticity value as angular coordinates; c) A polar coordinate system with the coordinates from the tunnel segment measuring point to the center of the tunnel segment as radial coordinates and a two-dimensional rectangular coordinate system with the tunnel segment ellipticity value as the angular coordinate.

7. The system according to claim 1, characterized in that It also includes a deformation analysis module, connected to the parametric modeling module, for: Calculate deformation based on orthogonal projection parameters; Calculate displacement, rotation, and stress in a plane coordinate system based on component size and position; Calculation of segment deformation based on stresses.

8. The system according to claim 1, characterized in that It also includes a prediction module, connected to the repair effect evaluation module, for: Obtain historical monitoring data of tunnel structure deformation; Establishing a time series model based on the historical monitoring data; Predict future deformation trends of tunnel segments.

9. The system according to claim 1, characterized in that The repair effect evaluation module includes: A repair scheme generating unit, used for generating a plurality of repair schemes; A multi-objective optimization unit, used for evaluating the multiple repair solutions using a multi-objective optimization algorithm; The optimal solution output unit is used to output the optimal repair solution.

10. The BIM-based tunnel segment ovality repair effect evaluation method according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1. Acquire tunnel segment geometry data, wherein the tunnel segment geometry data includes tunnel segment measurement point coordinates, measurement date, ring number, measurement point number, measurement point measurement data, BIM model map and tunnel segment initial geometry parameters; S2. constructing a parametric BIM model of the tunnel segment based on the tunnel segment geometry data; S3. Calculate the ovality of the tunnel segment based on the parametric BIM model of the tunnel segment; S4. Analyze the distribution characteristics of the ellipticity of the tunnel segment; S5. Evaluate the repair effect of the tunnel segment based on the distribution characteristics of the tunnel segment ovality; S6. Display the repair effect evaluation results in the form of dynamic charts.

Images