Analysis and evaluation system of dam stress coupling effect based on measurement and control terminal

Abstract

The invention relates to the technical field of dam stress analysis and evaluation, and discloses a dam stress coupling effect analysis and evaluation system based on a measurement and control terminal, comprising a data module for acquiring dam water level data, water flow data in an upstream water area of ​​the dam, and stress field data, a gradient module for dividing the dam stress field gradient through the dam water level data, water flow data in an upstream water area of ​​the dam, and stress field data, and optimizing and compensating the dam stress field gradient, a cross-processing module for acquiring the dam stress field, cross-processing multiple stress fields to acquire stress field effects, acquiring multiple intersection points through the stress field effects, and acquiring dam stress points according to the intersection points, and a correlation module for acquiring the interactive correlation of dam stress points and arranging the priorities of the dam stress points according to the correlation, thereby realizing the correlation analysis of the dam stress coupling effect, reducing the number of sensors arranged on the dam, and reducing the complexity of dam monitoring.

Description

Technical Field

[0001] The present invention relates to the technical field of dam stress analysis and evaluation, and discloses a dam stress coupling effect analysis and evaluation system based on a measurement and control terminal. Background Art

[0002] Dam stress coupling monitoring is an important link to ensure the safe operation of dams. However, the current monitoring technology requires a large number of sensors, resulting in a high cost of the overall monitoring system. Therefore, there are many deficiencies. The purchase cost of a large number of sensors is high, especially some high-precision sensors that can meet the requirements of complex stress coupling monitoring, such as strain sensors, pressure sensors, displacement sensors, etc. Their individual prices are relatively high, and the total cost will increase significantly when the quantity is large. A large number of sensors need to be maintained and calibrated regularly to ensure the reliability of their performance and the accuracy of data. Maintenance work includes checking the working status of sensors, replacing aging or damaged components, and performing data calibration, etc. These works not only require professional technicians, but also consume a certain amount of maintenance materials and equipment. In the long run, the maintenance cost is quite considerable. Dams are usually in complex natural environments, such as high temperature, low temperature, humidity, strong wind, earthquake, etc. A large number of sensors work in such harsh environments for a long time, and their performance may be affected, resulting in inaccurate data or sensor failures, which will increase the cost and complexity of the monitoring system. Summary of the Invention

[0003] To solve the above technical problems, the main object of the present invention is to provide a dam stress coupling effect analysis and evaluation system based on a measurement and control terminal, including:

[0004] A data module for obtaining dam water level data, upstream water flow data of the dam, and stress field data;

[0005] A gradient module for dividing the dam stress field gradient through the dam water level data, upstream water flow data of the dam, and stress field data, and optimizing and compensating the classification result of the stress field gradient;

[0006] A cross-processing module for obtaining the dam stress field, cross-obtaining the stress field effect by multiple stress fields, obtaining multiple intersection points through the stress field effect, and obtaining the dam stress points according to the intersection points;

[0007] An association module for obtaining the interaction correlation of the dam stress points, arranging the priorities of the dam stress points according to the correlation, and determining the dam stress point correlation sequence to analyze the dam stress coupling.

[0008] As a preferred solution of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0009] Obtain the dam water level data, the water flow data in the upstream waters of the dam, and the stress field data through the database and external APIs;

[0010] Clean, denoise, and normalize the obtained dam water level data, the water flow data in the upstream waters of the dam, and the stress field data;

[0011] Store the processed dam water level data, the water flow data in the upstream waters of the dam, and the stress field data in the local database and cloud storage.

[0012] As a preferred solution of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0013] The gradient module includes a classifier unit and a gradient correction unit;

[0014] The classifier unit divides multiple dam stress field gradients according to the dam water level data, the water flow data in the upstream waters of the dam, and the stress field data;

[0015] The multiple dam stress field gradients include a dam water level stress field, a water flow velocity stress field, and a dam body stress field;

[0016] The gradient correction unit is used to optimize and compensate the stress field gradient classification result;

[0017] The classifier unit includes multiple gradients, and the multiple gradients are used to divide the dam stress field into multiple vertical gradients.

[0018] As a preferred solution of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0019] The classifier unit obtains a water level stress field gradient model through the dam water level stress field;

[0020] Obtain a water flow velocity stress field model through the water flow velocity stress field;

[0021] Obtain a dam body stress field model through the dam body stress field.

[0022] As a preferred solution of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0023] The dam bearing water level divides the first gradient water level line, the second gradient water level line, and the third gradient water level line. Stresses are generated on the dam body through the first gradient water level line, the second gradient water level line, and the third gradient water level line and are divided into multiple water level stress fields, and the water level stress field gradient model is constructed;

[0024] According to the different water flow velocities corresponding to different water areas in the upstream water area of the dam and the different impacts on the dam body, multiple water flow velocity stress fields of the dam body are divided, and a water flow velocity stress field model is constructed;

[0025] Multiple dam body stress fields are divided according to the height and structure of the dam, and a dam body stress field model is constructed.

[0026] As a preferred embodiment of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0027] The stress field effect is obtained based on the water level stress field gradient model, the water flow velocity stress field model and the dam body stress field model;

[0028] According to the dam stress field effect, multiple stress field intersection points are determined. The stress field intersection points form stress action points according to the intersection of the water level stress field gradient model, the water flow velocity stress field model and the dam body stress field model;

[0029] Through the intersection coefficient of the stress field intersection points, the priority of the intersection points is obtained. The intersection coefficient of the stress field intersection points is determined by the cross-action of multiple gradients in the dam stress field effect;

[0030] According to the stress field intersection points, the stress points of the dam are obtained. The stress points of the dam include multiple stress field intersection points, and multiple stress fields act together at the same point of the dam structure, and stress coupling occurs at the same point of the dam structure.

[0031] As a preferred embodiment of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0032] The obtaining of the priority of the intersection points includes arranging the intersection coefficients of the intersection points. If the intersection coefficients of the stress action points at different positions are the same, the correlation analysis of the intersection coefficients of the stress action points at different positions is carried out;

[0033] Through the correlation analysis results of the intersection coefficients of the stress action points at different positions, the priority of the correlation of the intersection coefficients of the stress action points at different positions is sorted. If the correlation of the intersection coefficients of the stress action points at different positions is greater than the correlation threshold, a dam body sensor is set. If the correlation of the intersection coefficients of the stress action points at different positions is less than the correlation threshold, the dam body sensor is removed.

[0034] As a preferred embodiment of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0035] Obtain the spatial distance of the stress action point, set the neighborhood radius of the stress action point, set the target stress action point, and if there are multiple associated stress action points within the neighborhood of the target stress action point, take the target stress action point as the core stress point.

[0036] As a preferred solution of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0037] Expand the core stress point, and the expansion range is all the stress action points within the radius of the stress action point neighborhood. Determine whether multiple stress action points within the action range of the core stress point have been traversed. If the neighborhood points of the core stress point have not been traversed, recursively mark the neighborhood points of the core stress point as visited and add the neighborhood points of the core stress point to the core stress point class. If the neighborhood points of the core stress point have been marked in other core stress point classes, merge the current core stress point class with other core stress point classes and sort the merged quantity of the core stress point classes.

[0038] As a preferred solution of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention, wherein:

[0039] According to the sorting result of the merged quantity of the core stress point classes, screen the core stress points of the dam. If the merged quantity of the core stress point class is higher than the preset action point intersection threshold, it is a core stress point, and set the dam body sensor. If the merged quantity of the core stress point class is lower than the preset action point intersection threshold, it is a pseudo-core stress point, and remove the dam body sensor.

[0040] Advantages of the present invention:

[0041] The present invention provides a dam stress coupling effect analysis and evaluation system based on a measurement and control terminal, which sets a gradient module, a cross-processing module, and an association module. First, obtain the gradient distribution of the stress field of the dam, and then combine the gradient distribution of the stress field to obtain different data (water level, upstream water flow, and initial stress of the dam body itself), so as to find out the important points (intersection points) affected by stress. Therefore, it is only necessary to arrange sensors at the important points of the dam to conduct targeted stress coupling monitoring on the dam body, reduce the usage amount of sensors on the dam body, and reduce the cost of dam safety monitoring. By cross-analyzing multiple stress field data to obtain the dam stress field effect, comprehensively considering the water level stress field gradient model, the water flow velocity stress field model, and the dam body stress field model, it is possible to more comprehensively understand the stress situation of the dam under the combined action of multiple factors, rather than being limited to the influence of a single factor. Brief Description of the Drawings

[0042] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings. Among them:

[0043] Figure 1 This is the system flow topology diagram of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention;

[0044] Figure 2 This is an example diagram of the water flow velocity stress field model of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention;

[0045] Figure 3 This is an example diagram of the water level stress field gradient model of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention;

[0046] Figure 4 This is an example diagram of the dam body stress field model of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention;

[0047] Figure 5 This is a schematic diagram of the dam stress field combining multiple models of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention. Detailed implementation manners

[0048] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific implementation manners of the present invention in conjunction with the accompanying drawings of the specification.

[0049] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0050] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that can be included in at least one implementation manner of the present invention. The "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment that excludes other embodiments.

[0051] Embodiment 1

[0052] As Figure 1 shown, the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal includes:

[0053] A data module for obtaining dam water level data, water flow data in the upstream water area of the dam, and stress field data.

[0054] Obtain dam water level data, water flow data in the upstream water area of the dam, and stress field data through a database and external APIs.

[0055] Clean, denoise, and normalize the obtained dam water level data, water flow data in the upstream water area of the dam, and stress field data.

[0056] Store the processed dam water level data, water flow data in the upstream water area of the dam, and stress field data in a local database and cloud storage.

[0057] A specific implementation includes:

[0058] For dam water level data, set different water level threshold intervals according to the design standards of the dam and historical safe operation data. For example, when the water level is lower than 30% of the normal storage level, it is a low water level interval; when it is between 30% - 70% of the normal storage level, it is a medium water level interval; when it is higher than 70% of the normal storage level, it is a high water level interval.

[0059] For water flow data in the upstream water area of the dam, determine different water flow condition thresholds according to the water flow velocity and flow rate. For example, when the water flow velocity is lower than 0.5 m / s and the flow rate is less than 100 m³ / s, it is a low - speed and low - flow condition; when the water flow velocity is between 0.5 - 2 m / s and the flow rate is between 100 - 500 m³ / s, it is a medium - speed and medium - flow condition; when the water flow velocity is higher than 2 m / s and the flow rate is greater than 500 m³ / s, it is a high - speed and high - flow condition.

[0060] For stress field data, divide different stress levels according to the stress magnitude. For example, the low stress level is when the stress is less than 1 MPa, the medium stress level is when the stress is between 1 - 5 MPa, and the high stress level is when the stress is greater than 5 MPa.

[0061] A gradient module divides the dam stress field gradient through the dam water level data, water flow data in the upstream water area of the dam, and stress field data, and optimally compensates the classification results of the stress field gradient.

[0062] The gradient module includes a classifier unit and a gradient correction unit;

[0063] The classifier unit divides multiple dam stress field gradients according to the dam water level data, water flow data in the upstream water area of the dam, and stress field data;

[0064] The multiple dam stress field gradients include the dam water level stress field, the water flow velocity stress field, and the dam body stress field.

[0065] The gradient correction unit is used to optimally compensate the classification results of the stress field gradient.

[0066] The following provides a specific implementation example for optimizing and compensating the stress field gradient classification results:

[0067] Through long-term statistical analysis of monitoring data, an empirical relationship between each environmental interference factor and the deviation of the stress field gradient classification is established. For example, by statistically analyzing the probability and degree of deviation of the stress field gradient classification in different temperature ranges, it is found that when the temperature is higher than 30°C, the probability of a higher-level deviation in the stress field gradient classification is 20%, and the average degree of deviation is 10%.

[0068] According to the established empirical relationship between the interference factor and the deviation of the stress field gradient classification, a corresponding compensation coefficient is set for each environmental interference factor. For example, for the temperature factor, when the temperature is higher than 30°C, the compensation coefficient is set to -0.1, indicating that the stress field gradient classification result is reduced by one level; when the humidity exceeds 80%, the compensation coefficient is set to +0.05, indicating that the stress field gradient classification result is increased by half a level.

[0069] After the classifier unit obtains the stress field gradient classification result, the values of environmental interference factors are monitored in real time. According to the values of each interference factor and the corresponding compensation coefficients, the stress field gradient classification result is adjusted. For example, if the current classification result is medium stress field gradient, the temperature is higher than 30°C, and the humidity exceeds 80%, the classification result is corrected to medium-high stress field gradient according to the compensation coefficient. The specific implementation method includes first reducing one level to low stress field gradient, then increasing half a level to medium-low stress field gradient, and finally fine-tuning to medium-high stress field gradient by comprehensively considering other factors.

[0070] Furthermore, the classifier unit includes multiple gradients, and the multiple gradients are used to divide the dam stress field into multiple vertical gradients.

[0071] The classifier unit obtains a water level stress field gradient model through the dam water level stress field;

[0072] Obtains a water flow velocity stress field model through the water flow velocity stress field;

[0073] Obtains a dam body stress field model through the dam body stress field.

[0074] As Figure 3 shown, a water level stress field gradient model is provided.

[0075] The dam's bearing water level divides the first gradient water level line, the second gradient water level line, and the third gradient water level line. The stress generated on the dam body by the first gradient water level line, the second gradient water level line, and the third gradient water level line is divided into multiple water level stresses to construct the water level stress field gradient model.

[0076] Furthermore, since the dam body is set in an inclined form, different water levels are generated at different geographical locations in the water area. Different water levels will exert different pressures on the dam body, and the pressure will generate a force on the dam body. The deeper the water level, the greater the force generated on the dam body, and the greater the shear stress borne by the dam body surface. The water level stress field at different geographical locations in the water area is divided into gradients according to different water level conditions. Figure 3 In Figure 3 , the first gradient water level stress is the deep water area, which is set as the high water level stress. The second gradient water level stress is the middle-depth water area, which is set as the medium water level stress. The third gradient water level stress is the shallow water area, which is set as the low water level stress. Thus, a water level stress field gradient model is formed, and the water level stress field gradient model is set according to the inclined structure of the dam body and the river and geographical location where the dam is located.

[0077] As Figure 2 shown, a water flow velocity stress field model is provided.

[0078] Furthermore, in the upstream water area of the dam, the water flow velocities corresponding to different water area positions are different. The water flow velocity affects the impact force on the dam body. For example, the water flow velocity is slow in the areas on both sides of the upstream water area of the dam, and the water flow velocity is fast in the central area of the water area. Thus, multiple water flow velocity stress fields of the dam body are divided, and a water flow velocity stress field model is constructed.

[0079] Furthermore, since the water flow velocities in different areas are different, the stress generated by the impact force on the dam body is divided according to the water flow velocity. The first gradient water flow stress field is in the area near the river bank in the water area, and the stress generated by the impact force on the dam body is small, so it is set as the weak water flow velocity stress gradient. The second gradient water flow stress field is in the central area of the water area, where the water flow velocity is too fast, so it is set as the strong water flow velocity stress gradient. The third gradient water flow stress field is in the area near the river bank in the water area, so it is set as the weak water flow velocity stress gradient. In an actual river, multiple water flow velocity stress gradients can be divided according to the actual flow velocity. This embodiment only provides a schematic simulation diagram.

[0080] Multiple stress fields of the dam body are divided according to the height and structure of the dam, and a dam body stress field model is constructed. As Figure 4 shown, a self-stress field is established for the dam body, and it is divided into layers according to the height, including the first dam body stress gradient, the second dam body stress gradient, and the third dam body stress gradient.

[0081] The cross-processing module obtains the dam stress field, cross-processes multiple stress fields to obtain the stress field effect, obtains multiple intersection points through the stress field effect, and obtains the dam stress points according to the intersection points.

[0082] The stress field effect is obtained based on the water level stress field gradient model, the water flow velocity stress field model, and the dam body stress field model.

[0083] According to the dam stress field effect, multiple stress field intersection points are determined. The stress field intersection points are formed by the intersection of the water level stress field gradient model, the water flow velocity stress field model, and the dam body stress field model to form stress action points.

[0084] Through the intersection coefficient of the stress field intersection points, the intersection point priority is obtained. The intersection coefficient of the stress field intersection points is determined by the intersection effect of multiple gradients in the dam stress field effect.

[0085] According to the stress field intersection points, the stress points of the dam are obtained. The stress points of the dam include multiple stress field intersection points, and multiple stress fields act together at the same point of the dam structure, and stress coupling occurs at the same point of the dam structure.

[0086] As Figure 5 shown, multiple dam body stress field models alternately generate stress field intersection points, that is, the stress points of the dam. The actual dam will obtain countless stress points, but due to the different gradients of the multiple models corresponding to the intersection points, the stress magnitudes borne by different intersection points are also different. Therefore, according to the stress point magnitudes borne, the stress field intersection points of the dam are determined.

[0087] Figure 5 The black dot part in

[0088] Specific implementation methods include:

[0089] According to the dam stress field effect, find out the stress action points formed by the intersection of the water level stress field gradient model, the water flow velocity stress field model, and the dam body stress field model. By setting a stress threshold, when the stress values of the three models at a certain position all exceed the threshold, this position is determined as the stress field intersection point.

[0090] For example, set the stress threshold to 10 MPa. When the water level stress, water flow velocity stress, and dam body stress at a certain position are all greater than 10 MPa, mark this position as the intersection point. The intersection coefficient of the intersection point is determined by the intersection effect of multiple gradients in the dam stress field effect. Using the weighted average method, corresponding weights are assigned according to the influence degree of different stress fields on the dam stress, and the intersection coefficient of the intersection point is calculated. For example, the weight of the water level stress field is 0.4, the weight of the water flow velocity stress field is 0.3, and the weight of the dam body stress field is 0.3. The water level stress at a certain intersection point is 15 MPa, the water flow velocity stress is 12 MPa, and the dam body stress is 13 MPa. Then the intersection coefficient of this intersection point is 0.4×15 + 0.3×12 + 0.3×13 = 13.5 MPa.

[0091] Sort the intersection points according to the intersection coefficient. The larger the intersection coefficient, the higher the priority of the intersection point. The sorted intersection points are used as the stress points of the dam, and these stress points reflect the stress coupling situation generated by the combined action of multiple stress fields on the same point of the dam structure.

[0092] Compare and verify the theoretical results with the actual monitoring data to check the accuracy and reliability of the experimental results. If a large deviation is found between the experimental results and the actual situation, optimize and adjust the gradient of the weight setting and the dam stress field model.

[0093] As time goes by and the operating conditions of the dam change, repeat the experiment regularly to update the dam stress points and priority information to ensure continuous monitoring and evaluation of the dam stress coupling effect.

[0094] The obtaining of the intersection point priority includes arranging the intersection coefficients of the intersection points. If the intersection coefficients of the stress action points at different positions are the same, perform a correlation analysis on the intersection coefficients of the stress action points at different positions.

[0095] Conduct a statistical analysis on the obtained dam stress points and their priorities, draw a stress point distribution map and a priority ranking chart to visually display the distribution of the dam stress and the key areas of concern. Combine the actual structure and operating conditions of the dam to analyze the distribution law and formation reason of the stress points. For example, observe whether the stress points are concentrated in some key parts of the dam (such as the dam shoulder, dam foundation, etc.), and the relationship with factors such as water level and water flow, and evaluate the safety status of the dam. For the stress points with higher priorities, the monitoring frequency and intensity should be strengthened to timely discover potential safety hazards.

[0096] According to the actual dam design requirements, an integrated evaluation unit is set up. Through preset data interfaces and communication protocols, it receives real-time and historical data from the dam stress coupling effect analysis and evaluation system, and preprocesses the received data, including data cleaning, format conversion, outlier processing, etc., to ensure the accuracy and consistency of the data. Key features are extracted from the preprocessed data, including key features such as water level changes, water flow data, stress distribution, etc. These key features are important bases for evaluating the dam stress coupling state. According to the dam design specifications, safety standards, and historical operation data, evaluation criteria for the stress coupling state are set. The evaluation criteria include thresholds of stress values, rates of stress change, non-uniformity of stress distribution, etc. According to the analysis results and evaluation criteria, the dam stress coupling state is divided into different evaluation levels, such as normal, attention, warning, danger, etc. The division of evaluation levels helps to intuitively understand the dam stress coupling state and its potential risks. The integrated evaluation unit integrates the analysis results, evaluation levels, and recommended measures into a detailed evaluation report; according to the evaluation results, early warning signals are sent in a timely manner, which helps to detect potential risks of the dam in advance and take corresponding measures for risk control. Through the integrated evaluation unit, comprehensive monitoring and evaluation of the dam stress coupling state are realized, and the management level of the dam is improved.

[0097] Sort the intersection points according to the intersection coefficient and use them as the dam stress points. The points with larger intersection coefficients are given higher priorities, enabling the dam stress analysis to quickly focus on the points that are most significantly affected by the combined action of multiple stress fields, that is, the areas with the strongest stress coupling. For example, in parts of the dam shoulder, dam foundation, etc. where the structure is complex and the stress is large, higher intersection coefficients may appear. Through this sorting, these areas can be identified as key stress points, providing a basis for key monitoring and analysis.

[0098] When the dam has a large and complex structure, there is no need to conduct a comprehensive and equally in-depth stress analysis of all parts. Instead, it is possible to accurately locate the stress points with high priorities, greatly improving the efficiency of the stress analysis work, enabling limited resources to be concentrated on the areas that are most critical to the dam safety, and avoiding waste of resources.

[0099] When obtaining the priorities of the intersection points, if the intersection coefficients of the stress action points at different positions are the same, conduct a correlation analysis on them. This avoids simply treating the points with the same intersection coefficients equally and can further explore the potential differences and connections between these points. Through the correlation analysis, it may be found that although some points with the same intersection coefficients perform the same in the current intersection coefficient index, their contribution ratios in different stress fields are different, or their interaction relationships with the surrounding structures are different.

[0100] Embodiment 2

[0101] Through the cross - coefficient correlation analysis results of stress action points at different positions, prioritize the cross - coefficient correlations of stress action points at different positions. If the cross - coefficient correlation of stress action points at different positions has a high priority, set dam sensors; if the cross - coefficient correlation of stress action points at different positions has a low priority, remove dam sensors.

[0102] The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal further includes an association module, which is used to obtain the interaction correlation of dam stress points, arrange the priorities of dam stress points according to the correlation, and determine the dam stress point correlation sequence to analyze the dam stress coupling.

[0103] The determined core stress points and their priorities provide a clear key - attention area for dam safety assessment. Monitoring personnel can invest more energy and resources in the monitoring and analysis of these key parts, timely discover potential safety hazards, and thus more accurately evaluate the safety status of the dam.

[0104] Obtain the spatial distance of stress action points, set the neighborhood radius of stress action points, set the target stress action point. If multiple associated stress action points are included in the neighborhood of the target stress action point, take the target stress action point as the core stress point.

[0105] Expand the core stress points. The expansion range is all stress action points within the neighborhood radius of the stress action points. Judge whether multiple stress action points within the action range of the core stress points have been traversed. If the neighborhood points of the core stress point have not been traversed, recursively mark the neighborhood points of the core stress point as visited and add the neighborhood points of the core stress point to the core stress point class. If the neighborhood points of the core stress point have been marked in other core stress point classes, merge the current core stress point class with other core stress point classes and sort the merged quantity of the core stress point classes.

[0106] According to the sorting result of the merged quantity of the core stress point classes, screen the dam core stress points. If the merged quantity of the core stress point class is higher than the preset action point cross - threshold, it is a core stress point and set dam sensors; if the merged quantity of the core stress point class is lower than the preset action point cross - threshold, it is a pseudo - core stress point and extract dam sensors.

[0107] Provide a specific implementation method for the correlation analysis, including:

[0108] Arrange the cross - coefficients of the obtained intersection points in descending order to obtain the preliminary intersection point priority order. For example, assume there are 5 intersection points A, B, C, D, E, and their cross - coefficients are 8, 6, 6, 4, 2 respectively. The preliminary sorting is A > B = C > D > E.

[0109] For stress action points with the same cross coefficient (such as B and C in the above example), perform a correlation analysis. Using the correlation analysis method, calculate the correlation coefficient of the stress change trends of B and C.

[0110] Suppose the correlation coefficient of the stress change trends of B and C obtained by calculation is 0.8, indicating a relatively high correlation. Set the correlation threshold to 0.7. According to the results of the correlation analysis, prioritize these points. At this time, it can be considered that the priorities of B and C are higher than those of other points with low correlation at the correlation level.

[0111] According to the results of the correlation priority ranking, if the cross coefficient correlation priorities of stress action points at different positions are high (such as B and C), set dam sensors; if the correlation is low, consider removing the existing dam sensors at the corresponding positions.

[0112] Calculate the spatial distance between stress action points. For example, use the Euclidean distance formula to calculate the distance between any two stress action points (x1, y1, z1) and (x2, y2, z2).

[0113] Combining multiple factors such as the spatial distance of stress points and the correlation of stress points within the neighborhood can determine the core stress points, which more comprehensively reflects the actual stress distribution and interaction relationship of the dam. Compared with judging based on a single index, it can more accurately identify the core stress points that truly have a key impact on the structural safety of the dam.

[0114] Set the neighborhood radius r of the stress action point. For example, r = 5 meters. For each target stress action point, check whether its neighborhood (a spherical area centered at this point with a radius of r) contains multiple associated stress action points. If the condition is met, set this target stress action point as the core stress point.

[0115] Starting from a core stress point, expand based on its action range (i.e., all stress action points within the neighborhood radius of the stress action point). For example, there are stress action points Q, R, and S within the neighborhood of the core stress point P.

[0116] If the neighborhood point (such as Q) of the core stress point P has not been traversed, recursively mark Q as visited and add Q to the class where the core stress point P is located.

[0117] If the neighborhood point (such as R) of the core stress point P has been marked as belonging to another core stress point (such as M) class, then merge the current core stress point P class and the M class. For example, the neighborhood point R of the core stress point P is already in the class of the core stress point M. At this time, merge the P class and the M class into a larger class.

[0118] After merging, assume the merging results are as follows: Class 1 merged 10 stress application points, Class 2 merged 6 stress application points, and Class 3 merged 3 stress application points.

[0119] The preset intersection threshold of application points is 5. If the merging quantity of the core stress point class is higher than the intersection threshold of application points (such as Class 1), the stress points in this class are core stress points, and dam sensors are set at these positions; if it is lower than the intersection threshold of application points (such as Class 3), they are pseudo-core stress points, and the existing dam sensors at the corresponding positions are extracted.

[0120] By analyzing the arrangement and correlation of the intersection coefficients of intersection points to determine the setting and removal of sensors, it avoids unnecessary installation of sensors at positions with low correlation, and centrally deploys sensors at positions with high stress correlation and more critical to the safety of the dam. This enables the limited sensor resources to accurately cover the areas with significant stress coupling effects of the dam, improving both the monitoring efficiency and reducing the cost.

[0121] As the operating conditions of the dam change, the priorities and correlations of stress points will also change. According to the real-time analysis results, the sensor layout is dynamically adjusted to ensure that the dam stress coupling effect analysis and evaluation system can always accurately capture the stress changes at the key parts of the dam, guaranteeing the effectiveness and timeliness of monitoring.

[0122] Importantly, it should be noted that the structures and arrangements of the present application shown in multiple different exemplary embodiments are merely illustrative. Although only two embodiments are described in detail in this disclosure, those who refer to this disclosure should easily understand that many modifications are possible without substantially departing from the novel teachings and advantages of the subject matter described in this application. For example, changes in the dimensions, scales, structures, shapes and proportions of various elements, as well as parameter values (such as temperature, pressure, etc.), installation arrangements, use of materials, colors, orientations, etc. For example, an element shown as integrally formed may be composed of multiple parts or elements, the positions of the elements may be inverted or otherwise changed, and the nature, number or position of discrete elements may be changed or altered. Therefore, all such modifications are intended to be included within the scope of the present invention. The order or sequence of any process or method steps may be changed or reordered according to alternative embodiments. Any "means-plus-function" clause is intended to cover the structures that perform the functions described herein, and not only structural equivalents but also equivalent structures. Other substitutions, modifications, changes and omissions may be made in the design, operating conditions and arrangements of the exemplary embodiments without departing from the scope of the present invention. Therefore, the present invention is not limited to specific embodiments, but extends to various modifications that still fall within the scope of the appended claims.

[0123] In addition, in order to provide a concise description of the exemplary embodiments, all features of the actual embodiments may not be described (i.e., those features that are not relevant to the currently contemplated best mode of carrying out the invention or those that are not relevant to the implementation of the invention).

[0124] It should be understood that, in the development of any actual implementation, as in any engineering or design project, numerous specific implementation decisions may be made. Such development efforts may be complex and time-consuming, but for those of ordinary skill in the art who benefit from this disclosure, without undue experimentation, the development efforts will be a routine task of design, fabrication, and production.

[0125] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal is characterized by: include: Data module, used to obtain dam water level data, water flow data in the water area upstream of the dam, and stress field data; Gradient module, which divides the dam stress field gradient through dam water level data, water flow data in the water area upstream of the dam and stress field data, and optimizes and compensates the stress field gradient classification results; A cross processing module obtains the dam stress field, crosses multiple stress fields to obtain stress field effects, obtains multiple intersection points through the stress field effects, and obtains the dam stress points based on the intersection points; The stress field effect is obtained based on the water level stress field gradient model, water flow velocity stress field model and dam body stress field model; According to the dam stress field effect, a plurality of stress field intersection points are determined, wherein the stress field intersection points are formed by the intersection of a water level stress field gradient model, a water flow velocity stress field model and a dam body stress field model; Obtaining the intersection priority through the intersection coefficient of the stress field intersection, and determining the cross coefficient of the stress field intersection through the cross action of stress fields of multiple gradients in the dam stress field effect; According to the intersection points of the stress fields, the stress points of the dam are obtained, wherein the stress points of the dam include multiple intersection points of the stress fields, and the multiple stress fields act together at the same point of the dam structure, and the same point of the dam structure generates stress coupling; The correlation module is used to obtain the interactive correlation of the dam stress points, arrange the priorities of the dam stress points according to the correlation, and determine the correlation sequence of the dam stress points to analyze the dam stress coupling.

2. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 1 is characterized in that: Obtain dam water level data, water flow data in the water area upstream of the dam, and stress field data through databases and external APIs; Clean, denoise and normalize the acquired dam water level data, dam upstream water flow data and stress field data; The processed dam water level data, water flow data in the water area upstream of the dam, and stress field data are stored in the local database and cloud storage.

3. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 1 is characterized in that: The gradient module includes a classifier unit and a gradient correction unit; The classifier unit divides a plurality of dam stress field gradients according to the dam water level data, the water flow data in the water area upstream of the dam, and the stress field data; The multiple dam stress field gradients include dam water level stress field, water flow velocity stress field and dam body stress field; The gradient correction unit is used to optimize and compensate the stress field gradient classification result; The classifier unit includes a plurality of gradients for classifying the dam stress field into a plurality of vertical gradients.

4. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 3 is characterized in that: The classifier unit obtains a water level stress field gradient model through the dam water level stress field; Obtaining a water flow velocity stress field model through the water flow velocity stress field; The dam body stress field model is obtained through the dam body stress field.

5. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 4 is characterized in that: The bearing water level of the dam is divided into a first gradient water level line, a second gradient water level line and a third gradient water level line, and the first gradient water level line, the second gradient water level line and the third gradient water level line act on the dam body to generate stress and divide it into multiple water level stress fields, and construct the water level stress field gradient model; According to the different water flow velocities corresponding to different water areas in the upstream waters of the dam, and the different impact forces on the dam body, multiple dam body water flow velocity stress fields are divided, and a water flow velocity stress field model is constructed; According to the height and structure of the dam, multiple dam body stress fields are divided and a dam body stress field model is constructed.

6. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 5 is characterized in that: The obtaining of intersection priorities includes arranging the cross coefficients of the intersections, and if the cross coefficients of stress action points at different positions are the same, performing correlation analysis on the cross coefficients of stress action points at different positions; Through the cross-coefficient correlation analysis results of stress action points at different positions, the cross-coefficient correlation of stress action points at different positions is prioritized. If the cross-coefficient correlation of stress action points at different positions is greater than the correlation threshold, the dam body sensor is set; if the cross-coefficient correlation of stress action points at different positions is less than the correlation threshold, the dam body sensor is removed.

7. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 6 is characterized in that: The spatial distance of the stress action point is obtained, and the neighborhood radius of the stress action point is set, and the target stress action point is set. If the neighborhood of the target stress action point contains multiple associated stress action points, the target stress action point is used as the core stress point.

8. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 7 is characterized in that: The core stress point is expanded, and the expansion range is all stress action points within the neighborhood radius of the stress action point. It is judged whether multiple stress action points within the action range of the core stress point have been traversed. If the neighborhood points of the core stress point have not been traversed, the neighborhood points of the core stress point are recursively marked as visited, and the neighborhood points of the core stress point are added to the core stress point class. If the neighborhood points of the core stress point have been marked in other core stress point classes, the current core stress point class is merged with other core stress point classes, and the number of merged core stress point classes is sorted.

9. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 8 is characterized in that: According to the sorting results of the combined number of core stress point classes, the core stress points of the dam are screened. If the combined number of the core stress point classes is higher than the preset action point cross threshold, it is a core stress point and a dam body sensor is set. If the combined number of the core stress point classes is lower than the preset action point cross threshold, it is a pseudo core stress point and the dam body sensor is removed.

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