Reservoir dam safety analysis method and device, storage medium and electronic equipment
By analyzing measured data of reservoir dams and querying knowledge bases, and combining clustering algorithms and hierarchical analysis, high-precision and comprehensive monitoring of reservoir dam safety has been achieved. This solves the problems of low accuracy and limited range in traditional monitoring methods and improves the accuracy of dam safety identification.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-13
- Publication Date
- 2026-04-21
AI Technical Summary
Traditional manual monitoring methods for reservoir dam safety monitoring suffer from low monitoring accuracy, limited monitoring range, and cumbersome data processing, making it difficult to achieve comprehensive monitoring.
By acquiring measured operational status data and measured vibration data of the reservoir dam, analyzing the measured vibration characteristics, querying the reservoir dam safety analysis knowledge base, determining the target vibration characteristics, and judging whether there is a safety risk to the dam based on the measured vibration characteristics and the target vibration characteristics, the system uses sensor data collection and combines an improved K-means clustering algorithm and the analytic hierarchy process (AHP) for precise matching.
It has improved monitoring accuracy, enabled all-round monitoring, solved the problems of limited monitoring range and cumbersome data processing in traditional methods, and enhanced the ability to accurately identify dam safety.
Smart Images
Figure CN121901769A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of information technology, and in particular to a method, apparatus, storage medium and electronic equipment for reservoir dam safety analysis. Background Technology
[0002] As key water conservancy facilities, the safe operation of reservoirs and dams is crucial to people's livelihoods and socio-economic development. During long-term operation, dams are prone to hidden dangers such as settlement, cracks, and leakage due to complex topographical and geological conditions, hydrological changes, and the length of their service life.
[0003] Currently, manual monitoring is commonly used to monitor the safety of reservoir dams. However, traditional manual monitoring methods are susceptible to human error, making it difficult to guarantee the accuracy of the monitoring results. Furthermore, because monitoring relies primarily on human labor, it is impossible to achieve comprehensive monitoring. Summary of the Invention
[0004] In view of this, this application provides a method, apparatus, storage medium and electronic equipment for reservoir dam safety analysis, which mainly improves the monitoring accuracy of reservoir dam safety and realizes all-round monitoring.
[0005] According to a first aspect of this application, a method for safety analysis of reservoir dams is provided, the method comprising: Acquire measured operational status data and measured vibration data of the reservoir dam, wherein the measured operational status data includes measured water level data, measured flow velocity data, and measured dam gate opening data; The measured vibration data are analyzed to obtain the measured vibration characteristics, which include the measured main vibration frequency, the measured main amplitude, the measured first harmonic frequency, and the measured first harmonic amplitude. Based on the measured operating status data and the measured vibration characteristics, the reservoir dam safety analysis knowledge base is queried to determine the target vibration characteristics that match the measured vibration characteristics. The reservoir dam safety analysis knowledge base records vibration characteristics corresponding to different operating status data. Based on the measured vibration characteristics and the target vibration characteristics, it is determined whether there is a safety risk to the reservoir dam.
[0006] According to a second aspect of this application, a reservoir dam safety analysis device is provided, the device comprising: The acquisition unit is used to acquire measured operational status data and measured vibration data of the reservoir dam, wherein the measured operational status data includes measured water level data, measured flow velocity data and measured dam gate opening data; The analysis unit is used to analyze the measured vibration data to obtain the measured vibration characteristics, which include the measured vibration main frequency, the measured main amplitude, the measured first harmonic frequency, and the measured first harmonic amplitude. The query unit is used to query the reservoir dam safety analysis knowledge base based on the measured operating status data and the measured vibration characteristics, and determine the target vibration characteristics that match the measured vibration characteristics. The reservoir dam safety analysis knowledge base records vibration characteristics corresponding to different operating status data. The determination unit is used to determine whether there is a safety risk to the reservoir dam based on the measured vibration characteristics and the target vibration characteristics.
[0007] According to a third aspect of this application, a storage medium is provided that stores a computer program thereon, which, when executed by a processor, implements the above-described reservoir dam safety analysis method.
[0008] According to a fourth aspect of this application, an electronic device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor executes the program to implement the above-described reservoir dam safety analysis method.
[0009] By employing the above technical solutions, this application provides a method, apparatus, storage medium, and electronic equipment for reservoir dam safety analysis. Compared with existing manual monitoring methods, this method analyzes measured vibration data of the reservoir dam to obtain measured vibration characteristics. Based on the measured operational status data and measured vibration characteristics of the reservoir dam, it queries a reservoir dam safety analysis knowledge base to determine target vibration characteristics that match the measured vibration characteristics. This allows for the determination of whether a reservoir dam poses a safety risk based on both the measured and target vibration characteristics. This solves the problems of low monitoring accuracy, limited monitoring range, and cumbersome data processing in existing monitoring methods. Furthermore, this application fully integrates water resources and hydrological information from the reservoir during monitoring, thereby addressing the issues of insufficient precision and safety concerns in existing technologies for accurately identifying dam safety.
[0010] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description
[0011] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1A flowchart illustrating a reservoir dam safety analysis method provided in an embodiment of this application is shown. Figure 2 A flowchart illustrating the method for querying the knowledge base for reservoir dam safety analysis provided in an embodiment of this application is shown. Figure 3 A schematic diagram of a reservoir dam safety analysis device provided in an embodiment of this application is shown. Detailed Implementation
[0012] The present application will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the embodiments of the present application can be combined with each other.
[0013] Traditional manual monitoring methods are affected by human factors, making it difficult to guarantee the accuracy of monitoring results. Furthermore, since monitoring mainly relies on human labor, it is impossible to achieve comprehensive monitoring.
[0014] To address the aforementioned problems, embodiments of the present invention provide a method for safety analysis of reservoir dams, such as... Figure 1 As shown, the method includes: Step 10: Obtain measured operational status data and measured vibration data of the reservoir dam.
[0015] The measured operational status data includes measured water level data, measured flow velocity data, and measured dam gate opening data.
[0016] In this embodiment of the invention, during normal operation of the reservoir, various sensors can be used to collect measured water level data, measured flow velocity data, measured dam gate opening data, and measured vibration data of the reservoir dam. For example, a radar level gauge can be used to collect measured water level data of the reservoir dam, an ultrasonic flow velocity sensor can be used to collect measured flow velocity data of the reservoir dam, an angle sensor can be used to collect measured gate opening data of the reservoir dam, and a fiber optic sensor can be used to collect measured vibration data of the reservoir dam.
[0017] This invention is primarily applicable to safety analysis scenarios involving reservoir dams. The executing entity of this invention is a device or equipment capable of performing safety analysis on reservoir dams, such as one mounted on a server.
[0018] Step 20: Analyze the measured vibration data to obtain the measured vibration characteristics.
[0019] The measured vibration characteristics include the measured dominant vibration frequency, the measured dominant amplitude, the measured first harmonic frequency, and the measured first harmonic amplitude.
[0020] In this embodiment of the invention, after collecting the measured vibration data, the measured vibration data is processed to obtain minute-level measured vibration characteristics, specifically including: measured dominant vibration frequency, measured dominant amplitude, measured first harmonic frequency, and measured first harmonic amplitude. Simultaneously, the collected measured water level data, measured flow velocity data, and measured dam gate opening data are processed to obtain minute-level measured water level data, measured flow velocity data, and measured dam gate opening data.
[0021] Step 30: Based on the measured operating status data and the measured vibration characteristics, query the reservoir dam safety analysis knowledge base to determine the target vibration characteristics that match the measured vibration characteristics.
[0022] The reservoir dam safety analysis knowledge base records vibration characteristics corresponding to different operating state data. Each vibration characteristic in the reservoir dam safety analysis knowledge base includes the main vibration frequency, main amplitude, first harmonic frequency, and first harmonic amplitude. Each operating state data includes water level data, flow velocity data, and dam gate opening data.
[0023] In this embodiment of the invention, to enable real-time analysis of reservoir dam safety, historical operational status data and historical vibration data need to be collected in advance. The historical operational status data includes historical water level data, historical flow velocity data, and historical dam gate opening data. By analyzing the historical vibration data, the historical dominant frequency, historical dominant amplitude, historical first harmonic frequency, and historical first harmonic amplitude can be obtained. Then, a mapping relationship is established between the historical dominant frequency, historical dominant amplitude, historical first harmonic frequency, and historical first harmonic amplitude and the historical water level data, historical flow velocity data, and historical dam gate opening data. Based on this mapping relationship, a reservoir dam safety analysis knowledge base is constructed. In this knowledge base, different water level data, flow velocity data, and dam gate opening data correspond to different dominant frequencies, dominant amplitudes, first harmonic frequencies, and first harmonic amplitudes. Furthermore, during a complete training cycle, the content of the reservoir dam safety analysis knowledge base is continuously improved and updated to ensure that the knowledge base covers all major operational characteristics of the reservoir.
[0024] After constructing the reservoir dam safety analysis knowledge base, the knowledge base can be queried based on the real-time collected measured operating status data and measured vibration characteristics to determine the target vibration characteristics that match the measured vibration characteristics. Before making a specific query, it is also necessary to normalize the measured operating status data, measured vibration characteristics, and data in the reservoir dam safety analysis knowledge base. Specifically, the maximum and minimum values of the operating status data and the vibration characteristics in the reservoir dam safety analysis knowledge base are determined respectively. Then, based on the maximum and minimum values of the status data and the vibration characteristics, the operating status data, the vibration characteristics, and multiple operating status data and multiple vibration characteristics in the dam safety analysis knowledge base are normalized to obtain normalized measured operating status data and measured vibration characteristics, as well as multiple normalized operating status data and multiple normalized vibration characteristics in the dam safety analysis knowledge base. Finally, based on the normalized measured operating status data and normalized measured vibration characteristics, the reservoir dam safety analysis knowledge base is queried to determine the normalized target vibration characteristics.
[0025] The query process for the knowledge base on reservoir dam safety analysis, such as... Figure 2 As shown, it specifically includes: Step 31: Based on the measured operating status data, analyze the target water level and flow velocity scenario of the reservoir dam.
[0026] The target water level and flow velocity scenario can be any one of various operating scenarios, such as low water level and low flow velocity scenario, high water level and medium flow velocity scenario, and medium water level and high flow velocity scenario. The number of types of operating scenarios can be set according to actual business needs, and this embodiment of the invention does not make specific limitations on this.
[0027] In this embodiment of the invention, when analyzing the target water level and flow velocity scenario of the reservoir dam based on measured operating status data, cluster analysis is performed on multiple operating status data in the reservoir dam safety analysis knowledge base to obtain operating status data under different water level and flow velocity scenarios. Based on the operating status data under different water level and flow velocity scenarios and the measured operating status data, the target water level and flow velocity scenario to which the reservoir dam currently belongs is determined.
[0028] When determining the target water level and flow velocity scenario to which the reservoir dam currently belongs based on operational status data and measured operational status data under different water level and flow velocity scenarios, the center of each water level and flow velocity scenario is determined based on the operational status data under the different water level and flow velocity scenarios. Then, the Euclidean distance between the measured operational status data and the center of each water level and flow velocity scenario is calculated. Finally, based on the Euclidean distance, the target water level and flow velocity scenario to which the reservoir dam currently belongs is determined from the different water level and flow velocity scenarios.
[0029] Specifically, based on water level data, flow velocity data, and dam gate opening data, the operational scenarios of multiple data points in the reservoir dam safety analysis knowledge base can be clustered. An improved K-means clustering algorithm (introducing the elbow rule and silhouette coefficient as dual indicators to optimize the number of clusters) can be used to obtain operational status data under N different water level and flow velocity scenarios, such as low water level and low flow velocity, high water level and medium flow velocity, and medium water level and high flow velocity. Then, the mean values of water level data, flow velocity data, and dam gate opening data for each different water level and flow velocity scenario are calculated. Based on these mean values, the centers of different water level and flow velocity scenarios are determined. Next, the similarity between the measured operational status data and the centers of different water level and flow velocity scenarios is determined by calculating the Euclidean distance. Finally, the water level and flow velocity scenario with the highest similarity is selected as the target water level and flow velocity scenario to which the reservoir dam currently belongs. This enables scenario-level coarse screening. Compared with traditional interval screening, the scenario segmentation accuracy of this embodiment is improved by 30%, and the invalid matching data removal rate exceeds 60%.
[0030] Step 32: Calculate the similarity between the measured vibration characteristics and multiple vibration characteristics under the target water level and flow velocity scenario.
[0031] In this embodiment of the invention, the weights of the dominant vibration frequency, dominant amplitude, first harmonic frequency, and first harmonic amplitude on dam safety vary significantly under different operating scenarios. Therefore, the Analytic Hierarchy Process (AHP) is introduced to construct a feature weight matrix. For example, in a high water level and high flow velocity scenario, the dominant amplitude and first harmonic amplitude are more sensitive to changes in structural stress; therefore, the weights of the dominant amplitude and first harmonic amplitude are set to 0.35 and 0.3, respectively. In a low water level and low flow velocity scenario, the dominant frequency and first harmonic frequency better reflect foundation vibration anomalies; therefore, the weights of the dominant frequency and first harmonic frequency are set to 0.3 and 0.25, respectively.
[0032] Furthermore, based on the aforementioned dynamic weight matrix, a weighted cosine similarity algorithm is used to calculate the similarity between the measured vibration features (measured dominant frequency, measured dominant amplitude, measured first harmonic frequency, and measured first harmonic amplitude) and multiple vibration features under the target water level and flow velocity scenario. The specific formula is as follows:
[0033] in, For the first i Dynamic weights of vibration-like characteristics For the actual measurement i The first type of vibration characteristic k Minute-level data, For a certain data entry in the knowledge base, the first... i The first type of vibration characteristic k Minute-level data, m The data sample size is on the order of minutes. Compared with traditional equal-weight similarity calculation, the matching accuracy of this invention is improved by 25%-40%, effectively avoiding mismatches caused by the weakening of key features.
[0034] Step 33: Based on the similarity corresponding to the multiple vibration features, select vibration features that meet the preset similarity requirements from the multiple vibration features.
[0035] The preset similarity requirement can be set according to actual business needs, and the embodiments of the present invention do not impose specific limitations on it.
[0036] For example, based on the calculated similarity, multiple vibration features under the target water level and flow velocity scenario are sorted from high to low, and the top 20 vibration features are selected.
[0037] Step 34: Calculate the operating status data verification threshold and vibration characteristic verification threshold respectively.
[0038] The operational status data verification thresholds include water level verification threshold, flow velocity verification threshold, and gate opening verification threshold. Vibration characteristic verification thresholds include vibration dominant frequency verification threshold, dominant amplitude verification threshold, first harmonic frequency verification threshold, and first harmonic amplitude verification threshold.
[0039] In this embodiment of the invention, the traditional fixed threshold verification mode is abandoned, and the row status data verification threshold and vibration feature verification threshold are dynamically generated. When calculating the row status data verification threshold, the mean and standard deviation of the operating status data under the target water level and flow velocity scenario are calculated, and the operating status data verification threshold is determined based on the mean and the standard deviation.
[0040] Specifically, the mean and standard deviation of the water level data, the mean and standard deviation of the flow velocity data, and the mean and standard deviation of the dam gate opening data are calculated for the target water level and flow velocity scenario, respectively. The mean ± 2 times the standard deviation of the above data is used as the corresponding verification threshold. It should be noted that the above verification threshold can be adaptively adjusted according to the dispersion, and can be extended to 2.5 times the standard deviation when the dispersion is high.
[0041] When calculating the vibration feature verification threshold, the multiple vibration features are sorted based on their respective similarities, and the vibration features with similarity rankings within a preset range are determined according to the sorting results. Then, the fluctuation extreme values of the vibration features with similarity rankings within the preset range are determined, and finally, the vibration feature verification threshold is determined based on the fluctuation extreme values.
[0042] For example, the top 10 vibration characteristics (primary frequency, primary amplitude, first harmonic frequency, and first harmonic amplitude) are selected, and the extreme values of the fluctuation of the primary frequency, primary amplitude, first harmonic frequency, and first harmonic amplitude are determined. Then, the extreme values of the fluctuation of the primary frequency, primary amplitude, first harmonic frequency, and first harmonic amplitude are used as the corresponding verification thresholds.
[0043] Step 35: Based on the operation status data verification threshold and the vibration feature verification threshold, select the target vibration feature from the vibration features that meet the preset similarity requirements.
[0044] Specifically, after filtering out vibration features that meet the preset similarity requirements in step 33, first check whether the corresponding running status data is within the running status data verification threshold, and then check whether the vibration feature is within the vibration feature verification threshold, that is, check whether the vibration feature conforms to the scene fluctuation law. After the above double verification, retain the vibration feature with the highest similarity ranking as the target vibration feature. If there are multiple vibration features with the highest ranking, the average of the features can be taken as the target vibration feature, thus obtaining the final matching result.
[0045] This invention breaks through the static mode of traditional single-dimensional screening and fixed algorithm matching, and constructs a three-layer progressive matching architecture of running scene clustering, vibration feature weighting and dynamic threshold verification. This enables the upgrade from "data matching" to "scene-feature collaborative matching", solving the problems of poor scene adaptability and low matching accuracy caused by homogeneous feature weights in traditional methods.
[0046] Step 40: Based on the measured vibration characteristics and the target vibration characteristics, determine whether there is a safety risk to the reservoir dam.
[0047] In this embodiment of the invention, after determining the target vibration feature matching the measured vibration feature from the reservoir dam safety analysis knowledge base, the measured dominant frequency, measured dominant amplitude, measured first harmonic frequency, and measured first harmonic amplitude in the measured vibration feature are respectively subtracted from the target dominant frequency, target dominant amplitude, target first harmonic frequency, and target first harmonic amplitude in the target vibration feature to obtain the vibration dominant frequency difference, dominant amplitude difference, first harmonic frequency difference, and first harmonic amplitude difference. The vibration dominant frequency difference, dominant amplitude difference, first harmonic frequency difference, and first harmonic amplitude difference are then calculated. The first average value of the amplitude difference is calculated. Then, based on multiple vibration principal frequencies, multiple principal amplitudes, multiple first harmonic frequencies, and multiple first harmonic amplitudes in the reservoir dam safety analysis knowledge base, the variances of the vibration principal frequency, principal amplitude, first harmonic frequency, and first harmonic amplitude are calculated respectively. The second average value of the variances of the vibration principal frequency, principal amplitude, first harmonic frequency, and first harmonic amplitude is then calculated. Based on the second average value, the safety analysis threshold range is determined. If the first average value exceeds the safety analysis threshold range, then the reservoir dam is determined to have a safety risk.
[0048] For example, let A be the first average value of the difference between the main vibration frequency, the difference between the main vibration amplitude, the difference between the first harmonic frequency and the difference between the first harmonic amplitude, and B be the second average value of the variance between the main vibration frequency, the variance between the main vibration amplitude, the variance between the first harmonic frequency and the variance between the first harmonic amplitude. Determine whether the first average value A is within ±3 times the second average value B. If it is, then the reservoir dam is considered normal and there is no safety risk. If it exceeds this range, then the reservoir dam is considered to have a safety risk, and an alarm should be issued in a timely manner.
[0049] This invention provides a method for reservoir dam safety analysis. By analyzing measured vibration data of the reservoir dam, measured vibration characteristics are obtained. Based on the measured operational status data and vibration characteristics of the reservoir dam, a reservoir dam safety analysis knowledge base is consulted to determine target vibration characteristics that match the measured vibration characteristics. This allows for the determination of whether a reservoir dam poses a safety risk based on both the measured and target vibration characteristics. This addresses the problems of low monitoring accuracy, limited monitoring range, and cumbersome data processing in existing monitoring methods. Furthermore, this invention fully integrates water resources and hydrological information from the reservoir during monitoring, thereby resolving issues such as insufficient precision and safety concerns in existing technologies for accurately identifying dam safety.
[0050] Furthermore, as Figure 1 and Figure 2 The specific implementation of the method shown in this embodiment provides a reservoir dam safety analysis device, such as... Figure 3 As shown, the device includes: an acquisition unit 101, an analysis unit 102, a query unit 103, and a determination unit 104.
[0051] The acquisition unit 101 can be used to acquire measured operating status data and measured vibration data of the reservoir dam, wherein the measured operating status data includes measured water level data, measured flow velocity data and measured dam gate opening data.
[0052] The analysis unit 102 can be used to analyze the measured vibration data to obtain the measured vibration characteristics, which include the measured vibration main frequency, the measured main amplitude, the measured first harmonic frequency, and the measured first harmonic amplitude.
[0053] The query unit 103 can be used to query the reservoir dam safety analysis knowledge base based on the measured operating status data and the measured vibration characteristics, and determine the target vibration characteristics that match the measured vibration characteristics. The reservoir dam safety analysis knowledge base records vibration characteristics corresponding to different operating status data.
[0054] The determination unit 104 can be used to determine whether there is a safety risk to the reservoir dam based on the measured vibration characteristics and the target vibration characteristics.
[0055] In some embodiments, the query unit 103 includes: an analysis module, a calculation module, and a filtering module.
[0056] The analysis module can be used to analyze the target water level and flow velocity scenario of the reservoir dam based on the measured operating status data.
[0057] The calculation module can be used to calculate the similarity between the measured vibration characteristics and multiple vibration characteristics under the target water level and flow velocity scenario.
[0058] The filtering module can be used to filter out vibration features that meet preset similarity requirements from the multiple vibration features based on the similarity corresponding to each of the multiple vibration features.
[0059] The calculation module can also be used to calculate the operating status data verification threshold and the vibration characteristic verification threshold, respectively.
[0060] The filtering module can also be used to filter out the target vibration feature from the vibration features that meet the preset similarity requirements based on the operation status data verification threshold and the vibration feature verification threshold.
[0061] In some embodiments, the analysis module includes an analysis submodule and a determination submodule.
[0062] The analysis submodule can be used to perform cluster analysis on multiple operational status data in the reservoir dam safety analysis knowledge base to obtain operational status data under different water level and flow velocity scenarios.
[0063] The determination submodule can be used to determine the target water level and flow rate scenario to which the reservoir dam currently belongs based on the operating status data under the different water level and flow rate scenarios and the measured operating status data.
[0064] In some embodiments, the determining submodule may be specifically used to determine the center of different water level and flow velocity scenarios based on the operating status data under the different water level and flow velocity scenarios; calculate the Euclidean distance between the measured operating status data and the center of the different water level and flow velocity scenarios respectively; and determine the target water level and flow velocity scenario to which the reservoir dam currently belongs from the different water level and flow velocity scenarios based on the Euclidean distance.
[0065] In some embodiments, the calculation module may be specifically used to calculate the mean and standard deviation of the operating status data under the target water level and flow velocity scenario; determine the operating status data verification threshold based on the mean and standard deviation; sort the multiple vibration features based on the similarity corresponding to each of the multiple vibration features, and determine the vibration features whose similarity ranking is within a preset range according to the sorting result; determine the fluctuation extreme value of the vibration features whose similarity ranking is within the preset range; and determine the vibration feature verification threshold based on the fluctuation extreme value.
[0066] In some embodiments, each vibration feature in the reservoir dam safety analysis knowledge base includes a dominant vibration frequency, a dominant amplitude, a first harmonic frequency, and a first harmonic amplitude. The determination unit 104 can be specifically used to subtract the measured dominant vibration frequency, measured dominant amplitude, measured first harmonic frequency, and measured first harmonic amplitude of the measured vibration feature from the target dominant vibration frequency, target dominant amplitude, target first harmonic frequency, and target first harmonic amplitude of the target vibration feature, respectively, to obtain the vibration dominant frequency difference, dominant amplitude difference, first harmonic frequency difference, and first harmonic amplitude difference; and to calculate the vibration dominant frequency difference, dominant amplitude difference, and first harmonic amplitude difference. The first average value of the vibration frequency difference and the first harmonic amplitude difference is calculated; based on multiple vibration principal frequencies, multiple principal amplitudes, multiple first harmonic frequencies and multiple first harmonic amplitudes in the reservoir dam safety analysis knowledge base, the variances of the vibration principal frequencies, principal amplitudes, first harmonic frequencies and first harmonic amplitudes are calculated respectively; the second average value of the vibration principal frequency variance, the principal amplitude variance, the first harmonic frequency variance and the first harmonic amplitude variance are calculated; based on the second average value, the safety analysis threshold range is determined; if the first average value exceeds the safety analysis threshold range, it is determined that the reservoir dam has a safety risk.
[0067] In some embodiments, the apparatus further includes a normalization processing unit.
[0068] The normalization processing unit can be used to determine the maximum and minimum values of the operating status data and the vibration characteristics in the reservoir dam safety analysis knowledge base, respectively; based on the maximum and minimum values of the operating status data and the vibration characteristics, normalization processing is performed on the measured operating status data, the measured vibration characteristics, and multiple operating status data and multiple vibration characteristics in the reservoir dam safety analysis knowledge base, respectively, to obtain the normalized measured operating status data and measured vibration characteristics, as well as multiple normalized operating status data and multiple normalized vibration characteristics in the reservoir dam safety analysis knowledge base.
[0069] In some embodiments, the query unit 103 may be specifically used to query the reservoir dam safety analysis knowledge base based on the normalized measured operating status data and the normalized measured vibration characteristics to determine the normalized target vibration characteristics.
[0070] It should be noted that other corresponding descriptions of the functional units involved in the reservoir dam safety analysis device provided in this embodiment can be found by referring to... Figure 1 and Figure 2 The corresponding description in [the document] will not be repeated here.
[0071] Based on the above, Figure 1 and Figure 2 Accordingly, this embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the above-described method. Figure 1 and Figure 2 The method for safety analysis of reservoir dams is shown.
[0072] Based on this understanding, the technical solution of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as CD-ROM, USB flash drive, mobile hard drive, etc.) and includes several instructions to cause an electronic device (such as personal computer, server, or network device, etc.) to execute the methods of various implementation scenarios of this application.
[0073] Based on the above, Figure 1 and Figure 2 The method shown, and Figure 3 To achieve the above objectives, the present application also provides an electronic device, specifically a personal computer, tablet computer, server, or other network device, as shown in the virtual device embodiment. This device includes a storage medium and a processor; the storage medium stores a computer program; the processor executes the computer program to achieve the above-described objectives. Figure 1 and Figure 2 The method for safety analysis of reservoir dams is shown.
[0074] Optionally, the aforementioned physical devices may also include a user interface, a network interface, a camera, radio frequency (RF) circuitry, sensors, audio circuitry, a Wi-Fi module, etc. The user interface may include a display screen, input units such as a keyboard, etc., and optional user interfaces may also include USB interfaces, card reader interfaces, etc. The network interface may optionally include standard wired interfaces, wireless interfaces (such as Wi-Fi interfaces), etc.
[0075] Those skilled in the art will understand that the physical device structure provided in this embodiment does not constitute a limitation on the physical device, and may include more or fewer components, or combine certain components, or have different component arrangements.
[0076] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the hardware and software resources of the aforementioned physical device, supporting the operation of information processing programs and other software and / or programs. The network communication module is used to enable communication between the various components within the storage medium, as well as communication with other hardware and software in the information processing physical device.
[0077] Through the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platform, or it can be implemented by hardware.
[0078] This invention analyzes measured vibration data of a reservoir dam to obtain measured vibration characteristics. Based on the measured operational status data and vibration characteristics of the dam, it queries a reservoir dam safety analysis knowledge base to determine target vibration characteristics that match the measured vibration characteristics. This allows for the determination of whether a reservoir dam poses a safety risk based on both the measured and target vibration characteristics, thus solving problems such as low monitoring accuracy, limited monitoring range, and cumbersome data processing in existing monitoring methods. Furthermore, this invention fully integrates water resources and hydrological information from the reservoir during monitoring, thereby addressing the issues of insufficient precision and safety concerns in existing technologies for accurately identifying dam safety.
[0079] Those skilled in the art will understand that the accompanying drawings are merely schematic diagrams of a preferred embodiment, and the modules or processes shown in the drawings are not necessarily essential for implementing this application. Those skilled in the art will understand that the modules in the apparatus of the embodiment can be distributed within the apparatus of the embodiment as described, or can be modified to be located in one or more apparatuses different from this embodiment. The modules of the above-described embodiment can be combined into one module, or further divided into multiple sub-modules.
[0080] The serial numbers in this application are for descriptive purposes only and do not represent the superiority or inferiority of any particular implementation scenario. The above disclosures are merely a few specific implementation scenarios of this application; however, this application is not limited thereto, and any variations conceived by those skilled in the art should fall within the protection scope of this application.
Claims
1. A method for safety analysis of reservoir dams, characterized in that, include: Acquire measured operational status data and measured vibration data of the reservoir dam, wherein the measured operational status data includes measured water level data, measured flow velocity data, and measured dam gate opening data; The measured vibration data are analyzed to obtain the measured vibration characteristics, which include the measured main vibration frequency, the measured main amplitude, the measured first harmonic frequency, and the measured first harmonic amplitude. Based on the measured operating status data and the measured vibration characteristics, the reservoir dam safety analysis knowledge base is queried to determine the target vibration characteristics that match the measured vibration characteristics. The reservoir dam safety analysis knowledge base records vibration characteristics corresponding to different operating status data. Based on the measured vibration characteristics and the target vibration characteristics, it is determined whether there is a safety risk to the reservoir dam.
2. The method according to claim 1, characterized in that, The step of querying the reservoir dam safety analysis knowledge base based on the measured operating status data and the measured vibration characteristics to determine the target vibration characteristics that match the measured vibration characteristics includes: Based on the measured operational status data, analyze the target water level and flow velocity scenario of the reservoir dam at present; Calculate the similarity between the measured vibration characteristics and multiple vibration characteristics under the target water level and flow velocity scenario; Based on the similarity corresponding to the multiple vibration features, vibration features that meet the preset similarity requirements are selected from the multiple vibration features. Calculate the verification threshold for operational status data and the verification threshold for vibration characteristics, respectively. Based on the operational status data verification threshold and the vibration feature verification threshold, the target vibration feature is selected from the vibration features that meet the preset similarity requirements.
3. The method according to claim 2, characterized in that, The analysis of the target water level and flow velocity scenario of the reservoir dam based on the measured operational status data includes: Cluster analysis was performed on multiple operational status data in the reservoir dam safety analysis knowledge base to obtain operational status data under different water level and flow velocity scenarios. Based on the operational status data under the different water level and flow velocity scenarios and the measured operational status data, the target water level and flow velocity scenario to which the reservoir dam currently belongs is determined.
4. The method according to claim 3, characterized in that, The process of determining the target water level and flow velocity scenario to which the reservoir dam currently belongs, based on the operational status data under the different water level and flow velocity scenarios and the measured operational status data, includes: Based on the operational status data under the different water level and flow velocity scenarios, the center of the different water level and flow velocity scenarios is determined. Calculate the Euclidean distance between the measured operating status data and the center of the different water level and flow velocity scenarios, respectively; Based on the Euclidean distance, the target water level and flow rate scenario to which the reservoir dam currently belongs is determined from the different water level and flow rate scenarios.
5. The method according to claim 2, characterized in that, The calculation of the operating status data verification threshold and the vibration characteristic verification threshold includes: Calculate the mean and standard deviation of the operating status data under the target water level and flow velocity scenario; Based on the mean and the standard deviation, the verification threshold for the operating status data is determined; Based on the similarity corresponding to the multiple vibration features, the multiple vibration features are sorted, and the vibration features whose similarity ranking is within a preset range are determined according to the sorting results. Determine the extreme values of the vibration characteristics whose similarity ranking falls within a preset range; Based on the extreme values of the fluctuations, the vibration characteristic verification threshold is determined.
6. The method according to claim 1, characterized in that, Each vibration feature in the reservoir dam safety analysis knowledge base includes the dominant frequency, dominant amplitude, first harmonic frequency, and first harmonic amplitude. The determination of whether a reservoir dam poses a safety risk based on the measured vibration features and the target vibration features includes: The measured vibration principal frequency, measured principal amplitude, measured first harmonic frequency, and measured first harmonic amplitude in the measured vibration characteristics are respectively subtracted from the target vibration principal frequency, target principal amplitude, target first harmonic frequency, and target first harmonic amplitude in the target vibration characteristics to obtain the vibration principal frequency difference, principal amplitude difference, first harmonic frequency difference, and first harmonic amplitude difference; Calculate the first average values of the vibration principal frequency difference, principal amplitude difference, first harmonic frequency difference, and first harmonic amplitude difference; Based on the multiple vibration principal frequencies, multiple principal amplitudes, multiple first harmonic frequencies and multiple first harmonic amplitudes in the reservoir dam safety analysis knowledge base, the variances of the vibration principal frequencies, principal amplitudes, first harmonic frequencies and first harmonic amplitudes are calculated respectively. Calculate the second average of the variance of the dominant vibration frequency, the variance of the dominant amplitude, the variance of the first harmonic frequency, and the variance of the first harmonic amplitude; Based on the second average value, the security analysis threshold range is determined; If the first average value exceeds the safety analysis threshold range, then the reservoir dam is determined to have a safety risk.
7. The method according to claim 1, characterized in that, Before determining the target vibration characteristics that match the measured vibration characteristics by querying the reservoir dam safety analysis knowledge base based on the measured operating status data and the measured vibration characteristics, the method further includes: The maximum and minimum values of the operating status data in the reservoir dam safety analysis knowledge base, as well as the maximum and minimum values of the vibration characteristics, are determined respectively. Based on the maximum and minimum values of the operating status data and the maximum and minimum values of the vibration characteristics, the measured operating status data, the measured vibration characteristics, and multiple operating status data and multiple vibration characteristics in the reservoir dam safety analysis knowledge base are normalized to obtain normalized measured operating status data and measured vibration characteristics, as well as multiple normalized operating status data and multiple normalized vibration characteristics in the reservoir dam safety analysis knowledge base. The step of querying the reservoir dam safety analysis knowledge base based on the measured operating status data and the measured vibration characteristics to determine the target vibration characteristics that match the measured vibration characteristics includes: Based on the normalized measured operating status data and the normalized measured vibration characteristics, the target vibration characteristics after normalization are determined by querying the reservoir dam safety analysis knowledge base.
8. A reservoir dam safety analysis device, characterized in that, include: The acquisition unit is used to acquire measured operational status data and measured vibration data of the reservoir dam, wherein the measured operational status data includes measured water level data, measured flow velocity data and measured dam gate opening data; The analysis unit is used to analyze the measured vibration data to obtain the measured vibration characteristics, which include the measured vibration main frequency, the measured main amplitude, the measured first harmonic frequency, and the measured first harmonic amplitude. The query unit is used to query the reservoir dam safety analysis knowledge base based on the measured operating status data and the measured vibration characteristics, and determine the target vibration characteristics that match the measured vibration characteristics. The reservoir dam safety analysis knowledge base records vibration characteristics corresponding to different operating status data. The determination unit is used to determine whether there is a safety risk to the reservoir dam based on the measured vibration characteristics and the target vibration characteristics.
9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 7.
10. An electronic device comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 7.