Dam stress coupling effect analysis and evaluation system based on measurement and control terminal
Through the analysis and evaluation system of dam stress coupling effect based on the measurement and control terminal, the problems of high sensor costs and complex maintenance in the existing technology are solved, and the efficiency, economical and comprehensiveness of dam stress monitoring is achieved.
Patent Information
- Application Number
- CN202510221489.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2045-02-27
AI Technical Summary
Existing dam stress monitoring technologies require a large number of high-precision sensors, which lead to high costs and complex maintenance, and the sensors operating in harsh environments may lead to inaccurate data or malfunction.
It provides a dam stress coupling effect analysis and evaluation system based on measurement and control terminals. It obtains dam stress field data through the data module, the gradient module divides stress field gradients, and the cross-processing module obtains stress field intersection points, and determines the stress point priority through the correlation module to achieve highly targeted stress coupling monitoring.
It reduces the use of dam sensors, reduces the cost of safety monitoring, and allows a more comprehensive understanding of dam stress, avoiding limitations under the influence of a single factor.
Smart Images

Figure CN119691532A_ABST
Abstract
Description
Technical Field
[0001] 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. Background Art
[0002] Dam stress coupling monitoring is an important part of ensuring the safe operation of the dam, but the current monitoring technology requires a large number of sensors to support it, which makes the overall monitoring system expensive. Therefore, there are many shortcomings. The purchase cost of a large number of sensors is high, especially some high-precision sensors that can meet the needs of complex stress coupling monitoring, such as strain sensors, pressure sensors, displacement sensors, etc. The single price is high, and the total cost will increase significantly when the number is large. Many sensors need to be regularly maintained and calibrated to ensure the reliability of their performance and the accuracy of the data. Maintenance work includes checking the working status of the sensor, replacing aging or damaged parts, and performing data calibration. These tasks not only require professional technicians, but also consume certain maintenance materials and equipment. The long-term maintenance cost is 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 for a long time in such harsh environments, and their performance may be affected, resulting in inaccurate data or sensor failure, which will increase the cost and complexity of the monitoring system. Summary of the invention
[0003] In order to solve the above technical problems, the main purpose of the present invention is to provide a dam stress coupling effect analysis and evaluation system based on a measurement and control terminal, comprising: 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 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.
[0004] 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: 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.
[0005] 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: 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.
[0006] 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: 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.
[0007] 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: 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.
[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: The stress field effect is obtained based on a water level stress field gradient model, a water flow velocity stress field model and a 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. The stress points of the dam include multiple intersection points of the stress fields, and multiple stress fields act together at the same point of the dam structure, and stress coupling is generated at the same point of the dam structure.
[0009] 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: 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.
[0010] 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: 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.
[0011] 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: The core stress point is expanded, and the expansion range is all stress action points within the radius of the stress action point neighborhood. 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.
[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: 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.
[0013] Beneficial effects of the present invention: The present invention provides a dam stress coupling effect analysis and evaluation system based on a measurement and control terminal. A gradient module, a cross processing module and an association module are arranged. The stress field gradient distribution of the dam is firstly obtained. Then, different data (water level, water flow in upstream water area and initial stress of the dam body itself) are obtained in combination with the stress field gradient distribution, so as to find out important points (cross points) of stress influence. Therefore, it is only necessary to arrange sensors at important points of the dam, and the dam body is subjected to targeted stress coupling monitoring, thereby reducing the usage of dam body sensors and the cost of dam safety monitoring. The dam stress field effect is obtained by cross-analyzing multiple stress field data, and the water level stress field gradient model, the water flow velocity stress field model and the dam body stress field model are comprehensively considered, so as to more comprehensively understand the stress situation of the dam under the joint action of multiple factors, rather than being limited to the influence of a single factor. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them: Figure 1 It is a 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; Figure 2 This is an example diagram of a water flow velocity stress field model of a dam stress coupling effect analysis and evaluation system based on a measurement and control terminal of the present invention; 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; Figure 4 This is an example diagram of the dam stress field model of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention; Figure 5 It is a schematic diagram of the dam stress field combined with multiple models of the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal of the present invention. DETAILED DESCRIPTION
[0015] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.
[0016] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.
[0017] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.
[0018] Example 1 like Figure 1 As shown in the figure, the dam stress coupling effect analysis and evaluation system based on the measurement and control terminal includes: The data module is used to obtain the dam water level data, the water flow data in the water area upstream of the dam, and the stress field data.
[0019] The dam water level data, water flow data in the water area upstream of the dam and stress field data are obtained through the database and external API.
[0020] The acquired dam water level data, dam upstream water flow data and stress field data are cleaned, denoised and normalized.
[0021] 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.
[0022] A specific implementation method includes: The dam water level data sets different water level threshold intervals based on the dam's design standards and historical safe operation data. For example, the water level 30% below the normal water storage level is the low water level interval, the water level between 30%-70% of the normal water storage level is the medium water level interval, and the water level above 70% of the normal water storage level is the high water level interval.
[0023] The water flow data in the water area upstream of the dam determines different water flow condition thresholds based on the water flow velocity and flow rate. For example, a water flow velocity lower than 0.5m / s and a flow rate less than 100m³ / s is a low speed and small flow rate, a water flow velocity between 0.5-2m / s and a flow rate between 100-500m³ / s is a medium speed and medium flow rate, and a water flow velocity higher than 2m / s and a flow rate greater than 500m³ / s is a high speed and large flow rate.
[0024] For stress field data, different stress levels are divided according to the stress magnitude, such as low stress level is stress less than 1MPa, medium stress level is stress between 1-5MPa, and high stress level is stress greater than 5MPa.
[0025] The gradient module divides the dam stress field gradient through the dam water level data, the water flow data in the water area upstream of the dam and the stress field data, and optimizes and compensates the stress field gradient classification results.
[0026] 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; Multiple dam stress field gradients include dam water level stress field, water flow velocity stress field and dam body stress field.
[0027] The gradient correction unit is used to optimize and compensate the stress field gradient classification result.
[0028] The following is a specific implementation example for optimizing and compensating the stress field gradient classification results: 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, the probability and degree of deviation of the stress field gradient classification under different temperature ranges are statistically analyzed, and it is found that when the temperature is higher than 30°C, the probability of a higher level of deviation in the stress field gradient classification is 20%, and the average degree of deviation is 10%.
[0029] According to the established empirical relationship between the interference factors and the stress field gradient classification deviation, 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, which means 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, which means that the stress field gradient classification result is improved by half a level.
[0030] After the classifier unit obtains the stress field gradient classification result, the value of the environmental interference factor is monitored in real time. According to the value of each interference factor and the corresponding compensation coefficient, the stress field gradient classification result is adjusted. For example, if the current classification result is a medium stress field gradient, the temperature is higher than 30°C, and the humidity exceeds 80%, the classification result is corrected to a medium-high stress field gradient according to the compensation coefficient. The specific implementation method includes first reducing one level to a low stress field gradient, then increasing half a level to a medium-low stress field gradient, and finally taking into account other factors to fine-tune to a medium-high stress field gradient.
[0031] Further, the classifier unit includes a plurality of gradients, and the plurality of gradients are used to classify the dam stress field into a plurality of vertical gradients.
[0032] 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.
[0033] like Figure 3 As shown, a water level stress field gradient model is provided.
[0034] The dam bearing water level is divided into a first gradient water level line, a second gradient water level line and a third gradient water level line. 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 stresses, and construct the water level stress field gradient model.
[0035] Furthermore, since the dam body is set as an italic type, different water levels are generated in different geographical locations of the water area. Different water levels will generate different pressures on the dam body, and pressure will generate pressure on the dam body. The deeper the water level, the greater the pressure on the dam body, and the greater the shear stress on the surface of the dam body. According to different water level conditions, the water level stress field at different geographical locations in the water area is divided into gradients. Figure 3 If the first gradient water level stress is in deep water area, it is set as high water level stress; if the second gradient water level stress is in middle depth water area, it is set as middle water level stress; if the third gradient water level stress is in shallow water area, it is set as shallow water level stress. Thus, a water level stress field gradient model is formed. 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.
[0036] like Figure 2 As shown, a water flow velocity stress field model is provided.
[0037] Furthermore, in the water area upstream of the dam, the water flow velocities corresponding to different water areas are different, and the water flow velocity affects the impact force on the dam body. For example, the water flow velocity in the areas on both sides of the water area upstream of the dam is slow, and the water flow velocity in the central area of the water area is fast. Therefore, multiple water flow velocity stress fields of the dam body are divided, and a water flow velocity stress field model is constructed.
[0038] Furthermore, due to the different water flow velocities in different areas, the stress generated by the impact force of the dam body is divided according to the water flow velocity. The first gradient water flow stress field is in the river bank area of the water area, and the stress generated by the impact force of the dam body is small, so it is set to a weak water flow velocity stress gradient. The second gradient water flow stress field is in the central area of the water area, and the water flow velocity is too fast, so it is set to a strong water flow velocity stress gradient. The third gradient water flow stress field is in the river bank area of the water area, so it is set to a weak water flow velocity stress gradient. In an actual river, it can be divided into multiple water flow velocity stress gradients according to the actual flow velocity. This embodiment only provides a schematic simulation diagram.
[0039] According to the height and structure of the dam, the stress fields of the dam body are divided into multiple parts, and the stress field model of the dam body is constructed. Figure 4 As shown, the dam body establishes its own stress field, which is layered according to the height, and is divided into the first dam body stress gradient, the second dam body stress gradient and the third dam body stress gradient.
[0040] The 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.
[0041] The stress field effect is obtained based on a water level stress field gradient model, a water flow velocity stress field model and a dam body stress field model.
[0042] According to the stress field effect of the dam, a plurality of stress field intersection points are determined. 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.
[0043] The cross-point priority is obtained through the cross-coefficient of the stress field cross-point, and the cross-coefficient of the stress field cross-point is determined through the cross-action of stress fields of multiple gradients in the dam stress field effect.
[0044] According to the intersection points of the stress fields, the stress points of the dam are obtained. The stress points of the dam include multiple intersection points of the stress fields, and multiple stress fields act together at the same point of the dam structure, and stress coupling is generated at the same point of the dam structure.
[0045] like Figure 5 As shown in the figure, 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 since the gradients of the multiple models corresponding to the intersection points are different, the stress magnitudes carried by different intersection points are also different. Therefore, the stress field intersection points of the dam are determined according to the magnitude of the stress points carried.
[0046] Figure 5 The black dot in the middle is the intersection point of the prominent stresses, that is, it carries the most different stresses and has the largest stress values.
[0047] Specific implementation methods include: According to the stress field effect of the dam, the stress action point 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 is found. By setting a stress threshold, when the stress values of the three models at a certain position exceed the threshold, the position is determined as the stress field intersection point.
[0048] For example, the stress threshold is set to 10MPa. When the water level stress, water flow velocity stress and dam body stress at a certain position are all greater than 10MPa, the position is marked as an intersection. The cross coefficient of the intersection is determined by the cross-action of stress fields of multiple gradients in the dam stress field effect. The weighted average method is used to assign corresponding weights according to the degree of influence of different stress fields on the dam stress, and the cross coefficient of the intersection 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 is 15MPa, the water flow velocity stress is 12MPa, and the dam body stress is 13MPa. The cross coefficient of the intersection is 0.4×15+0.3×12+0.3×13=13.5MPa.
[0049] The intersection points are sorted according to the cross coefficient. The larger the cross coefficient, the higher the priority of the intersection point. The sorted intersection points are used as stress points of the dam. These stress points reflect the stress coupling caused by multiple stress fields acting on the same point of the dam structure.
[0050] By comparing and verifying the theoretical results with the actual monitoring data, the accuracy and reliability of the experimental results are checked. If a large deviation is found between the experimental results and the actual situation, the weight setting and the dam stress field model are optimized and adjusted.
[0051] As time goes by and the dam operating conditions change, the experiments are repeated regularly to update the dam stress point and priority information, ensuring continuous monitoring and evaluation of the dam stress coupling effects.
[0052] 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.
[0053] Conduct statistical analysis on the acquired dam stress points and their priorities, draw stress point distribution maps and priority ranking charts, intuitively display the distribution of dam stress and key areas of concern, and analyze the distribution patterns and causes of stress points in combination with the actual structure and operation of the dam. For example, observe whether the stress points are concentrated in certain key parts of the dam (such as dam shoulders, dam foundations, etc.), and their relationship with factors such as water level and water flow, evaluate the safety status of the dam, and for stress points with higher priorities, strengthen the monitoring frequency and intensity to promptly discover potential safety hazards.
[0054] According to the actual dam design needs, an integrated evaluation unit is set up to receive real-time and historical data from the dam stress coupling effect analysis and evaluation system through the preset data interface and communication protocol. The received data is preprocessed, 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 water level changes, water flow data, stress distribution and other key features. The key features are an important basis for the evaluation of the dam stress coupling state. According to the dam design specifications, safety standards and historical operation data, the evaluation criteria for the stress coupling state are set. The evaluation criteria include the stress value Threshold, rate of stress change, inhomogeneity of stress distribution, etc. According to the analysis results and evaluation criteria, the stress coupling state of the dam is divided into different evaluation levels, such as normal, attention, warning, danger, etc. The division of evaluation levels helps to intuitively understand the stress coupling state of the dam 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 issued in time, which helps to discover the potential risks of the dam in advance and take corresponding measures to control the risks. Through the integrated evaluation unit, comprehensive monitoring and evaluation of the stress coupling state of the dam can be achieved, thereby improving the management level of the dam.
[0055] The intersection points are sorted according to the cross coefficient and used as the dam stress points. The points with larger cross coefficients are given higher priority, so that the dam stress analysis can quickly focus on those points that are most significantly affected by the combined effects of multiple stress fields, that is, the areas with the strongest stress coupling. For example, in the dam abutment, dam foundation and other parts with complex structures and large stress, higher cross coefficients may appear. Through this sorting, these areas can be clearly identified as key stress points, providing a basis for key monitoring and analysis.
[0056] If the dam is a large and complex structure, there is no need to conduct a comprehensive and equally deep stress analysis of all parts. Instead, high-priority stress points can be accurately located, which greatly improves the efficiency of the stress analysis work and allows limited resources to be concentrated on the areas most critical to dam safety, avoiding waste of resources.
[0057] When obtaining the intersection priority, if the stress action points at different positions have the same cross coefficient, a correlation analysis is performed on them to avoid simply treating points with the same cross coefficient equally, and to further explore the potential differences and connections between these points. Through correlation analysis, it may be found that although some points with the same cross coefficient perform consistently in the current cross coefficient index, they have different contribution ratios in different stress fields, or different interactions with surrounding structures.
[0058] Example 2 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 has a high priority, the dam body sensor is set; if the cross-coefficient correlation of stress action points at different positions has a low priority, the dam body sensor is removed.
[0059] The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal also includes a correlation module for obtaining the interactive correlation of the dam stress points, arranging the priorities of the dam stress points according to the correlation, and determining the correlation sequence of the dam stress points to analyze the dam stress coupling.
[0060] The identified core stress points and their priorities provide clear focus areas for dam safety assessment. Monitoring personnel can devote more energy and resources to the monitoring and analysis of these key areas, discover potential safety hazards in a timely manner, and thus more accurately assess the safety status of the dam.
[0061] 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.
[0062] 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.
[0063] 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 extracted.
[0064] A specific implementation method for correlation analysis is provided, including: The obtained intersection coefficients are arranged in descending order to obtain a preliminary intersection priority order. For example, assuming there are 5 intersections A, B, C, D, and E, and their intersection coefficients are 8, 6, 6, 4, and 2 respectively, the preliminary order is A>B=C>D>E.
[0065] For stress action points with the same cross coefficient (such as B and C in the above example), a correlation analysis is performed and the correlation coefficient of the stress change trend of B and C is calculated using the correlation analysis method.
[0066] Assume that the stress change trend correlation coefficient of B and C is 0.8, indicating that the correlation is high. Set the correlation threshold to 0.7, and prioritize these points according to the correlation analysis results. At this time, it can be considered that the priority of B and C is higher than other points with low correlation at the correlation level.
[0067] According to the results of correlation priority sorting, if the correlation priority of the cross coefficient of stress action points at different positions is high (such as B and C), dam body sensors are set; if the correlation is low, consider removing the existing dam body sensors at the corresponding positions.
[0068] Calculate the spatial distance between stress application points. For example, use the Euclidean distance formula to calculate the distance between any two stress application points (x1, y1, z1) and (x2, y2, z2).
[0069] Determining the core stress points by combining multiple factors such as the spatial distance of stress points and the correlation of stress points in the neighborhood can more comprehensively reflect the actual stress distribution and interaction relationship of the dam. Compared with judging based on only a single indicator, it can more accurately identify the core stress points that truly have a key impact on the safety of the dam structure.
[0070] 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 with the point as the center and r as the radius) contains multiple associated stress action points. If the conditions are met, set the target stress action point as the core stress point.
[0071] Starting from a core stress point, it is expanded based on its range of action (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.
[0072] If the neighborhood point (such as Q) of the core stress point P has not been traversed, Q is recursively marked as visited and added to the class where the core stress point P is located.
[0073] If the neighborhood point (such as R) of the core stress point P has been marked as being in the class of other core stress points (such as M), then the current core stress point P class is merged with 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, the P class and the M class are merged into a larger class.
[0074] After the merging, it is assumed that the merging results are: Class 1 merges 10 stress points, Class 2 merges 6 stress points, and Class 3 merges 3 stress points.
[0075] The preset action point crossing threshold is 5. If the combined number of the core stress point class is higher than the action point crossing threshold (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 action point crossing threshold (such as class 3), it is a pseudo core stress point, and the existing dam sensors at the corresponding position are extracted.
[0076] By arranging the cross-point cross-coefficient and analyzing the correlation, the setting and elimination of sensors are determined, avoiding unnecessary installation of sensors at locations with low correlation, and concentrating the sensors on locations with high stress correlation and more critical impact on dam safety. This enables limited sensor resources to accurately cover areas with significant stress coupling effects on the dam, which not only improves monitoring efficiency but also reduces costs.
[0077] As the operating conditions of the dam change, the priority and correlation of stress points will also change. Based on 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 in key parts of the dam and ensure the effectiveness and timeliness of monitoring.
[0078] Importantly, it should be noted that the construction and arrangement of the present application shown in a plurality of different exemplary embodiments are only exemplary. Although only two embodiments are described in detail in this disclosure, it should be readily understood by those who refer to this disclosure that many modifications are possible, for example, the size, scale, structure, shape and ratio of various elements, and parameter values (e.g., temperature, pressure, etc.), installation arrangement, use of materials, color, directional changes, etc., without substantially departing from the novel teachings and advantages of the subject matter described in the application. For example, the element shown as integrally formed can be composed of multiple parts or elements, the position of the element can be inverted or otherwise changed, and the nature or number or position of the discrete element can be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present invention. The order or sequence of any process or method steps can be changed or reordered according to alternative embodiments. Any "device plus function" clause is intended to cover the structure of the execution function described in this article, and is not only structurally equivalent but also equivalent structure. Without departing from the scope of the present invention, other replacements, modifications, changes and omissions can be made in the design, operating conditions and arrangement of the exemplary embodiment. Therefore, the invention is not limited to a specific embodiment, but extends to numerous modifications still falling within the scope of the appended claims.
[0079] Additionally, in order to provide a concise description of exemplary embodiments, all features of an actual embodiment may not be described (ie, those features that are not relevant to the best mode presently contemplated for carrying out the invention or those features that are not relevant to implementing the invention).
[0080] It should be understood that in the development of any actual implementation, as in any engineering or design project, numerous implementation-specific decisions may be made. Such a development effort may be complex and time-consuming, but for those of ordinary skill having the benefit of this disclosure, the development effort will be a routine task of design, fabrication, and production without undue experimentation.
[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in 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 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 stress field effect is obtained based on a water level stress field gradient model, a water flow velocity stress field model and a 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. The stress points of the dam include multiple intersection points of the stress fields, and multiple stress fields act together at the same point of the dam structure, and stress coupling is generated at the same point of the dam structure.
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 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.
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 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.
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: 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.
10. The dam stress coupling effect analysis and evaluation system based on the measurement and control terminal according to claim 9 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.
Citation Information
Patent Citations
Pipeline safety control evaluation method, device and equipment under blasting and sedimentation and medium
CN116595608A
Water conservancy project operation trend prediction method and system
CN119476620A
Monitoring point and data classification management method based on intelligent monitoring platform
CN119484592A
Intelligent control system for hydraulic engineering design
CN213545099U
Remote monitoring device for dam equipment
CN219455167U
Cited By
Dam multi-environmental factor monitoring system and method
CN119717067A