A data processing method for vibrating-wire multi-point displacement meter

Abstract

The present application provides a vibrating-wire multi-point displacement meter data processing method. The method can comprehensively collect displacement data of each monitoring point along the length extension direction of the dam to be monitored through each displacement meter in the vibrating-wire multi-point displacement meter sequence, and send the collected displacement data to the monitoring server in real time. The monitoring server processes these data to form a displacement data set, and then generates a monitoring position set based on the original position set and the displacement data set, and through a preset dam safety assessment model, the safety level of the dam can be accurately determined based on the difference between the original position and the monitoring position, thereby realizing the ability to timely discover potential safety hazards, provide timely warnings and decision-making support for management personnel, and improve monitoring efficiency.

Description

Technical Field

[0001] The present application relates to data processing technology, and in particular to a data processing method for a vibrating-wire multi-point displacement meter. Background Art

[0002] As an important water conservancy project facility, dams play a vital role in flood control, irrigation, power generation, etc. However, with the passage of time and the influence of the natural environment, the structural safety of dams has gradually become the focus of attention. Traditional dam monitoring methods often rely on manual inspections and simple instrument measurements. These methods have problems such as insufficient monitoring points, incomplete data collection, and untimely processing, making it difficult to detect potential safety hazards in a timely manner.

[0003] At present, although some advanced dam monitoring technologies have been proposed and applied, such as GPS monitoring and remote sensing monitoring, these technologies still have some shortcomings in the collection and processing of dam displacement data. For example, although GPS monitoring can obtain the overall displacement of the dam, it is greatly affected by factors such as weather and terrain, and the monitoring cost is high; remote sensing monitoring is limited by resolution and monitoring cycle, and it is difficult to achieve real-time and comprehensive collection of dam displacement data. Summary of the invention

[0004] The present application provides a vibrating-wire multi-point displacement meter data processing method for realizing the timely discovery of potential safety hazards, providing timely warnings and decision-making support for management personnel, and improving monitoring efficiency.

[0005] In a first aspect, the present application provides a vibrating-wire multi-point displacement meter data processing method, which is applied to a dam monitoring system, wherein the dam monitoring system comprises a vibrating-wire multi-point displacement meter sequence and a monitoring server, wherein each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence is communicatively connected to the monitoring server; the method comprises:

[0006] Acquiring displacement data of each monitoring point set along the length extension direction of the dam to be monitored by each vibrating wire multi-point displacement meter in the vibrating wire multi-point displacement meter sequence, and sending the displacement data to the monitoring server to form a displacement data set;

[0007] The monitoring server generates a monitoring position set according to the original position set and the displacement data set, wherein the original position set includes the original positions of each monitoring point on the dam to be monitored;

[0008] The monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set.

[0009] In the above scheme, through each displacement meter in the vibrating-string multi-point displacement meter sequence, the displacement data of each monitoring point can be comprehensively collected along the length extension direction of the dam to be monitored, and the collected displacement data is sent to the monitoring server in real time. The monitoring server processes these data to form a displacement data set, and then generates a monitoring position set based on the original position set (i.e., the initial position of each monitoring point on the dam) and the displacement data set. Through the preset dam safety assessment model, the safety level of the dam can be accurately determined based on the difference between the original position and the monitoring position, thereby achieving the ability to timely discover potential safety hazards, provide timely warnings and decision-making support for management personnel, and improve monitoring efficiency.

[0010] Optionally, the monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, including:

[0011] If the monitoring server determines that there is displacement data greater than a preset displacement threshold in the displacement data set, then determining that the security level is the first security level;

[0012] If the monitoring server determines that there is no displacement data greater than the preset displacement threshold in the displacement data set, then determine the energy storage characteristic equivalent according to the original position set and the monitoring position set, wherein the energy storage characteristic equivalent is used to characterize the hydraulic energy accumulation degree on the cross section of the dam to be monitored perpendicular to the height direction, and the hydraulic energy accumulation degree includes the hydraulic potential energy accumulation degree and the hydraulic kinetic energy impact degree;

[0013] If the monitoring server determines that the energy storage characteristic equivalent is greater than the preset energy storage characteristic equivalent, the safety level is determined to be a second safety level, and the second safety level is higher than the first safety level;

[0014] If the monitoring server determines that the energy storage characteristic equivalent is less than or equal to the preset energy storage characteristic equivalent, the safety level is determined to be a third safety level, and the third safety level is higher than the second safety level.

[0015] In the above scheme, when the monitoring server detects that there is displacement data greater than the preset displacement threshold in the displacement data set, the safety level can be immediately determined as the first safety level (usually indicating a high risk or emergency situation). This rapid response mechanism helps managers to take countermeasures quickly to prevent the situation from further deteriorating. If the displacement data does not exceed the preset threshold, the energy storage characteristic equivalent is further calculated based on the original position set and the monitoring position set. This step introduces a further evaluation indicator, namely the degree of hydraulic energy accumulation (including the degree of hydraulic potential energy and hydraulic kinetic energy impact), so that the actual safety status of the dam can be more accurately reflected. By comparing the energy storage characteristic equivalent with the preset energy storage characteristic equivalent, the safety level is divided into three levels (the first, second, and third safety levels, and the higher the level, the safer it is). This multi-level division helps managers to formulate targeted safety management measures according to specific circumstances and improve management efficiency. The above technical scheme comprehensively considers the information of both displacement data and energy storage characteristic equivalent, so that the safety status of the dam can be more comprehensively evaluated, which helps to improve the accuracy of the evaluation and reduce the possibility of misjudgment and omission.

[0016] Optionally, determining the energy storage characteristic equivalent according to the original position set and the monitoring position set includes:

[0017] The monitoring server determines the energy storage characteristic equivalent according to the coordinates of the original position set in a preset coordinate system and the coordinates of the monitoring position set in the preset coordinate system.

[0018] In the above scheme, by mapping the coordinate information in the original position set and the monitoring position set into the preset coordinate system, the displacement change can be calculated more accurately, and then the energy storage characteristic equivalent can be obtained, which effectively avoids the error of directly comparing the displacement data and improves the accuracy of the evaluation. In addition, by calculating the energy storage characteristic equivalent, the safety status of the dam is converted into a specific quantitative indicator, which not only enables managers to understand the safety status of the dam more intuitively, but also provides a basis for formulating targeted safety management measures. In addition, the introduction of the preset coordinate system enables the evaluation method to adapt to dams of different shapes and sizes, as well as the layout of different monitoring points.

[0019] Optionally, before the monitoring server determines the energy storage characteristic equivalent according to the coordinates of the original position set in the preset coordinate system and the coordinates of the monitoring position set in the preset coordinate system, the method further includes:

[0020] The monitoring server determines a monitoring position fluctuation characteristic parameter according to the monitoring position set;

[0021] The monitoring server determines that the monitoring location fluctuation characteristic parameter is greater than a preset monitoring location fluctuation characteristic threshold.

[0022] In the above scheme, by calculating the fluctuation characteristic parameters of the monitoring position, the fluctuation of the displacement of the monitoring point can be analyzed more carefully, so as to more accurately reflect the actual deformation of the dam, which helps to reduce the evaluation error and improve the reliability of the evaluation results. Then, judging whether the fluctuation characteristic parameters of the monitoring position are greater than the preset threshold can be used as a data screening mechanism to exclude those fitting curves with large deviations caused by abnormal factors such as noise, errors or abnormal events, which helps to maintain the accuracy of the evaluation. The above preprocessing step, by preprocessing the monitoring data first and then calculating the energy storage characteristic equivalent, although it increases some calculation amount, it can significantly improve the evaluation accuracy under different data conditions, especially for the case of insufficient number of monitoring points.

[0023] Optionally, the determining the energy storage characteristic equivalent according to the original position set and the monitoring position set further includes:

[0024] If the monitoring server determines that the monitoring location fluctuation characteristic parameter is less than or equal to the preset monitoring position fluctuation characteristic threshold, the monitoring server generates an original contour curve in a preset coordinate system according to the original position set, and generates a monitoring contour curve in the preset coordinate system according to the monitoring position set;

[0025] The monitoring server determines the energy storage characteristic equivalent according to the original profile curve and the monitoring profile curve.

[0026] In the above scheme, when the fluctuation characteristic parameters of the monitoring position are within an acceptable range, the deformation of the dam during the monitoring period can be more intuitively reflected by generating the original contour curve and the monitoring contour curve. The introduction of this contour curve makes the evaluation result no longer rely solely on a single displacement data, but can comprehensively consider the displacement changes of multiple monitoring points, thereby improving the precision and accuracy of the evaluation. Furthermore, through the visualization of the contour curve, managers can more intuitively understand the deformation of the dam, which helps them quickly identify potential safety hazards. This enhanced intuitiveness helps to improve the managers' perception of the safety status of the dam, and then take more timely and effective safety management measures. In addition, the energy storage characteristic equivalent is determined based on the original contour curve and the monitoring contour curve, avoiding the errors that may be caused by directly comparing the coordinate data of the original position and the monitoring position. The optimization of this calculation method enables the energy storage characteristic equivalent to more accurately reflect the degree of deformation of the dam during the monitoring period, providing more reliable data support for the safety assessment of the dam, especially for the situation where there are no abnormal data points and the number of monitoring points is large.

[0027] Optionally, the displacement detection direction of each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence coincides with the normal direction of the dam to be monitored at the corresponding monitoring point position; correspondingly, the monitoring server generates a monitoring position set according to the original position set and the displacement data set, including:

[0028] The monitoring server determines the monitoring position set according to the original position set, the displacement data set, and a preset angle between a displacement detection direction of each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence and a horizontal axis of the preset coordinate system.

[0029] In the above scheme, when the displacement detection direction of the vibrating-string multi-point displacement meter coincides with the normal of the dam to be monitored at the corresponding monitoring point, the displacement measurement can be ensured to be more accurate. In this case, the displacement measurement directly reflects the vertical deformation of the dam at the monitoring point, avoiding the measurement error introduced by the misalignment of the displacement detection direction and the normal. By ensuring that the displacement detection direction coincides with the normal, the monitoring results can be made more reliable, and the monitoring server can generate a monitoring position set based on the preset angle between the displacement detection direction of the vibrating-string multi-point displacement meter and the horizontal axis of the preset coordinate system, as well as the original position set and the displacement data set. The design of the displacement detection direction of the vibrating-string multi-point displacement meter coinciding with the normal enables the system to adapt to dams of different shapes and different monitoring point layouts.

[0030] Optionally, the dam monitoring system further includes a monitoring terminal, which is communicatively connected to the monitoring server; correspondingly, after the monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, it further includes:

[0031] The monitoring server generates a displacement cloud map according to the displacement data set, wherein the displacement cloud map includes displacement color feature information of each monitoring point on the dam to be monitored, and the displacement color feature information is associated with the displacement data;

[0032] The monitoring server sends monitoring information to the monitoring terminal, where the monitoring information includes the displacement cloud map and the safety level.

[0033] In the above scheme, the monitoring server generates a displacement cloud map based on the displacement data set, which intuitively displays the displacement of each monitoring point on the dam to be monitored through color feature information. This visual presentation method enables managers to understand the deformation of the dam more quickly and improves the efficiency of understanding the safety status of the dam. In addition, through the monitoring terminal, the monitoring server can send monitoring information (including displacement cloud maps and safety levels) to relevant personnel in real time or regularly, so that managers can grasp the safety status of the dam anytime and anywhere, improving the transmission efficiency of monitoring information.

[0034] In a second aspect, the present application provides a dam monitoring system, comprising: a vibrating-wire multi-point displacement meter sequence and a monitoring server, wherein each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence is communicatively connected to the monitoring server;

[0035] Acquiring displacement data of each monitoring point set along the length extension direction of the dam to be monitored by each vibrating wire multi-point displacement meter in the vibrating wire multi-point displacement meter sequence, and sending the displacement data to the monitoring server to form a displacement data set;

[0036] The monitoring server generates a monitoring position set according to the original position set and the displacement data set, wherein the original position set includes the original positions of each monitoring point on the dam to be monitored;

[0037] The monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set.

[0038] Optionally, the monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, including:

[0039] If the monitoring server determines that there is displacement data greater than a preset displacement threshold in the displacement data set, then determining that the security level is the first security level;

[0040] If the monitoring server determines that there is no displacement data greater than the preset displacement threshold in the displacement data set, then determine the energy storage characteristic equivalent according to the original position set and the monitoring position set, wherein the energy storage characteristic equivalent is used to characterize the hydraulic energy accumulation degree on the cross section of the dam to be monitored perpendicular to the height direction, and the hydraulic energy accumulation degree includes the hydraulic potential energy accumulation degree and the hydraulic kinetic energy impact degree;

[0041] If the monitoring server determines that the energy storage characteristic equivalent is greater than the preset energy storage characteristic equivalent, the safety level is determined to be a second safety level, and the second safety level is higher than the first safety level;

[0042] If the monitoring server determines that the energy storage characteristic equivalent is less than or equal to the preset energy storage characteristic equivalent, the safety level is determined to be a third safety level, and the third safety level is higher than the second safety level.

[0043] Optionally, determining the energy storage characteristic equivalent according to the original position set and the monitoring position set includes:

[0044] The monitoring server determines the energy storage characteristic equivalent according to the coordinates of the original position set in a preset coordinate system and the coordinates of the monitoring position set in the preset coordinate system.

[0045] Optionally, before the monitoring server determines the energy storage characteristic equivalent according to the coordinates of the original position set in the preset coordinate system and the coordinates of the monitoring position set in the preset coordinate system, the method further includes:

[0046] The monitoring server determines a monitoring position fluctuation characteristic parameter according to the monitoring position set;

[0047] The monitoring server determines that the monitoring location fluctuation characteristic parameter is greater than a preset monitoring location fluctuation characteristic threshold.

[0048] Optionally, the determining the energy storage characteristic equivalent according to the original position set and the monitoring position set further includes:

[0049] If the monitoring server determines that the monitoring location fluctuation characteristic parameter is less than or equal to the preset monitoring position fluctuation characteristic threshold, the monitoring server generates an original contour curve in a preset coordinate system according to the original position set, and generates a monitoring contour curve in the preset coordinate system according to the monitoring position set;

[0050] The monitoring server determines the energy storage characteristic equivalent according to the original profile curve and the monitoring profile curve.

[0051] Optionally, the displacement detection direction of each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence coincides with the normal direction of the dam to be monitored at the corresponding monitoring point position; correspondingly, the monitoring server generates a monitoring position set according to the original position set and the displacement data set, including:

[0052] The monitoring server determines the monitoring position set according to the original position set, the displacement data set, and a preset angle between a displacement detection direction of each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence and a horizontal axis of the preset coordinate system.

[0053] Optionally, the dam monitoring system further includes a monitoring terminal, which is communicatively connected to the monitoring server; correspondingly, after the monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, it further includes:

[0054] The monitoring server generates a displacement cloud map according to the displacement data set, wherein the displacement cloud map includes displacement color feature information of each monitoring point on the dam to be monitored, and the displacement color feature information is associated with the displacement data;

[0055] The monitoring server sends monitoring information to the monitoring terminal, where the monitoring information includes the displacement cloud map and the safety level.

[0056] In a third aspect, the present application provides an electronic device, including:

[0057] processor; and,

[0058] A memory, configured to store executable instructions of the processor;

[0059] The processor is configured to perform any possible method described in the first aspect by executing the executable instructions.

[0060] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement any possible method described in the first aspect.

[0061] The vibrating-string multi-point displacement meter data processing method provided in the present application can comprehensively collect displacement data of each monitoring point along the length extension direction of the dam to be monitored through each displacement meter in the vibrating-string multi-point displacement meter sequence, and the collected displacement data are sent to the monitoring server in real time. The monitoring server processes these data to form a displacement data set, and then generates a monitoring position set based on the original position set and the displacement data set. Through the preset dam safety assessment model, the safety level of the dam can be accurately determined based on the difference between the original position and the monitoring position, thereby achieving the ability to timely discover potential safety hazards, provide timely warnings and decision-making support for management personnel, and improve monitoring efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0063] Figure 1 This is a flow chart of a method for processing data of a vibrating-wire multi-point displacement meter according to an exemplary embodiment of the present application;

[0064] Figure 2 is a flow chart of a method for processing data of a vibrating-wire multi-point displacement meter according to another exemplary embodiment of the present application;

[0065] Figure 3 is a schematic structural diagram of a dam monitoring system according to an exemplary embodiment of the present application;

[0066] Figure 4 It is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application.

[0067] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0068] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0069] In order to solve the above problems, the embodiment provided by the present application is to set multiple monitoring points on the dam along the length extension direction thereof, and install a vibrating-wire multi-point displacement meter at each monitoring point. Among them, the vibrating-wire multi-point displacement meter has high precision and high stability, can collect displacement data of the monitoring points in real time, and send the data to the monitoring server. The monitoring server receives displacement data from the vibrating-wire multi-point displacement meter sequence to form a displacement data set. The monitoring server generates a monitoring position set based on the original position set (i.e., the initial position of each monitoring point on the dam) and the displacement data set. The monitoring server uses a preset dam safety assessment model to evaluate the safety level of the dam based on the difference between the original position set and the monitoring position set. Specifically, first, the monitoring server determines whether there is displacement data greater than a preset displacement threshold in the displacement data set. If so, the safety level of the dam is immediately determined to be the first safety level (indicating a high risk or emergency situation). If the displacement data does not exceed the preset threshold, the monitoring server further calculates the energy storage characteristic equivalent. The energy storage characteristic equivalent is used to characterize the degree of hydraulic energy accumulation on the cross section of the dam perpendicular to the height direction, including the degree of hydraulic potential energy accumulation and the degree of hydraulic kinetic energy impact. By comparing the energy storage characteristic equivalent with the preset energy storage characteristic equivalent, the safety level of the dam is divided into the second safety level or the third safety level (the higher the level, the safer it is).

[0070] In addition, the monitoring server generates a displacement cloud map based on the displacement data set, and intuitively displays the displacement of each monitoring point on the dam through color feature information. The monitoring server sends the monitoring information (including displacement cloud map and safety level) to the monitoring terminal, providing managers with intuitive monitoring results and decision support.

[0071] Thus, through the comprehensive collection of the vibrating-wire multi-point displacement meter sequence and the real-time processing of the monitoring server, the dam displacement data can be quickly and accurately acquired, and the monitoring efficiency can be improved. In addition, by designing a multi-level safety level assessment method, the information of displacement data and energy storage characteristic equivalent is comprehensively considered, which can more comprehensively assess the safety status of the dam and reduce the possibility of misjudgment and missed judgment. In addition, by generating displacement cloud maps and sending monitoring information to the monitoring terminal, managers can more intuitively understand the deformation status and safety level of the dam, and improve the perception of the dam safety status and decision-making efficiency.

[0072] Figure 1 FIG. 1 is a flow chart of a method for processing data of a vibrating-wire multi-point displacement meter according to an exemplary embodiment of the present application. Figure 1 As shown, this embodiment provides a vibrating-wire multi-point displacement meter data processing method, comprising:

[0073] S101. Acquire displacement data of each monitoring point set along the length extension direction of the dam to be monitored by each vibrating-wire multi-point displacement meter in a vibrating-wire multi-point displacement meter sequence.

[0074] The vibrating-wire multi-point displacement meter data processing method provided in this embodiment can be applied to a dam monitoring system. The dam monitoring system includes a vibrating-wire multi-point displacement meter sequence and a monitoring server, and each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence is connected to the monitoring server in communication. Specifically, the above-mentioned vibrating-wire multi-point displacement meter sequence is composed of a plurality of vibrating-wire multi-point displacement meters, and each displacement meter is responsible for monitoring the displacement data of a specific monitoring point on the dam. The monitoring server is the core of the entire system, responsible for receiving, storing and processing the displacement data from the vibrating-wire multi-point displacement meter sequence. The server is embedded with a preset dam safety assessment model, which can assess the safety level of the dam based on the difference between the original position set and the monitoring position set. In addition, the monitoring server also has the functions of generating displacement cloud maps and sending monitoring information. Optionally, the dam monitoring system may also include a monitoring terminal, wherein the monitoring terminal may be a device for managers to receive monitoring information, and may be a smart terminal such as a computer or a mobile phone. The monitoring terminal receives monitoring information from the monitoring server through a communication network, including displacement cloud maps, safety levels, etc., to provide intuitive monitoring results and decision support for managers.

[0075] In this step, displacement data of each monitoring point set along the length extension direction of the dam to be monitored is obtained by each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence, and the displacement data is sent to the monitoring server to form a displacement data set.

[0076] Specifically, on the dam to be monitored, multiple monitoring points are set along its length extension direction, and a vibrating wire multi-point displacement meter is installed at each monitoring point. These displacement meters can detect the displacement data of the monitoring point in real time. When the displacement data changes, the vibrating wire multi-point displacement meter sends the collected displacement data to the monitoring server. The monitoring server receives and stores these displacement data to form a displacement data set. This step ensures that the displacement data of each monitoring point on the dam can be fully and real-time collected and transmitted to the monitoring center.

[0077] S102: The monitoring server generates a monitoring position set according to the original position set and the displacement data set.

[0078] In this step, the monitoring server generates a monitoring position set based on the original position set and the displacement data set, wherein the original position set includes the original positions of each monitoring point on the dam to be monitored. Specifically, the monitoring server also stores the original position set of each monitoring point on the dam to be monitored, which contains the initial position information of each monitoring point. After receiving the displacement data set, the monitoring server calculates the current actual position of each monitoring point based on these displacement data and the original position set, thereby generating a monitoring position set. This step enables the monitoring server to grasp the position changes of each monitoring point on the dam in real time.

[0079] S103: The monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set.

[0080] Specifically, the monitoring server is embedded with a preset dam safety assessment model. The model can evaluate the safety level of the dam based on the difference between the original position set and the monitoring position set. In specific implementation, the monitoring server first determines whether there is displacement data in the displacement data set that is greater than the preset displacement threshold. If so, the safety level of the dam is immediately determined to be the first safety level (usually indicating a higher risk or emergency situation). This rapid response mechanism helps managers take quick countermeasures to prevent the situation from further deteriorating.

[0081] If the displacement data does not exceed the preset threshold, the monitoring server further calculates the energy storage characteristic equivalent based on the original position set and the monitoring position set. The energy storage characteristic equivalent is used to characterize the degree of hydraulic energy accumulation on the cross section of the dam perpendicular to the height direction, including the degree of hydraulic potential energy accumulation and the degree of hydraulic kinetic energy impact. The monitoring server compares the calculated energy storage characteristic equivalent with the preset energy storage characteristic equivalent, and divides the safety level of the dam into the second safety level or the third safety level according to the comparison result. Among them, the second safety level is higher than the first safety level, indicating that the dam has certain safety risks but has not yet reached the emergency level; the third safety level is higher than the second safety level, indicating that the dam is currently in a relatively safe state.

[0082] In this embodiment, through each displacement meter in the vibrating-string multi-point displacement meter sequence, the displacement data of each monitoring point can be comprehensively collected along the length extension direction of the dam to be monitored, and the collected displacement data is sent to the monitoring server in real time. The monitoring server processes these data to form a displacement data set, and then generates a monitoring position set based on the original position set and the displacement data set. Through the preset dam safety assessment model, the safety level of the dam can be accurately determined based on the difference between the original position and the monitoring position, thereby achieving the ability to timely discover potential safety hazards, provide timely warnings and decision-making support for management personnel, and improve monitoring efficiency.

[0083] Figure 2 FIG. 1 is a flow chart of a method for processing data of a vibrating-wire multi-point displacement meter according to another exemplary embodiment of the present application. Figure 2 As shown, the data processing method of the vibrating-wire multi-point displacement meter provided in this embodiment includes:

[0084] S201. Acquire displacement data of each monitoring point set along the length extension direction of the dam to be monitored by each vibrating-wire multi-point displacement meter in a vibrating-wire multi-point displacement meter sequence.

[0085] In this step, displacement data of each monitoring point set along the length extension direction of the dam to be monitored is obtained by each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence, and the displacement data is sent to the monitoring server to form a displacement data set.

[0086] Specifically, on the dam to be monitored, multiple monitoring points are set along its length extension direction, and a vibrating wire multi-point displacement meter is installed at each monitoring point. These displacement meters can detect the displacement data of the monitoring point in real time. When the displacement data changes, the vibrating wire multi-point displacement meter sends the collected displacement data to the monitoring server. The monitoring server receives and stores these displacement data to form a displacement data set. This step ensures that the displacement data of each monitoring point on the dam can be fully and real-time collected and transmitted to the monitoring center.

[0087] S202: The monitoring server generates a monitoring position set according to the original position set and the displacement data set.

[0088] In this step, the monitoring server generates a monitoring position set based on the original position set and the displacement data set, wherein the original position set includes the original positions of each monitoring point on the dam to be monitored. Specifically, the monitoring server also stores the original position set of each monitoring point on the dam to be monitored, which contains the initial position information of each monitoring point. After receiving the displacement data set, the monitoring server calculates the current actual position of each monitoring point based on these displacement data and the original position set, thereby generating a monitoring position set. This step enables the monitoring server to grasp the position changes of each monitoring point on the dam in real time.

[0089] In a possible implementation, the displacement detection direction of each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence coincides with the normal direction of the dam to be monitored at the corresponding monitoring point position; correspondingly, the monitoring server generates a monitoring position set according to the original position set and the displacement data set, including:

[0090] The monitoring server uses formula 1 and sets the original position And the displacement data set Determine the set of monitoring locations , where Formula 1 is:

[0091]

[0092] in, It is the first in the vibrating wire multi-point displacement meter series. A preset angle between the displacement detection direction of a vibrating-wire multi-point displacement meter and the horizontal coordinate of the preset coordinate system.

[0093] In the above scheme, by setting the displacement detection direction of each displacement meter in the vibrating-string multi-point displacement meter sequence to coincide with the normal direction of the dam to be monitored at the corresponding monitoring point, it can be ensured that the displacement measurement directly reflects the vertical deformation of the dam at the monitoring point, avoiding the measurement error introduced by the misalignment of the displacement detection direction and the normal direction. Therefore, the displacement data obtained by this method is more accurate and can more truly reflect the deformation of the dam. In addition, the monitoring server determines the monitoring position set based on the original position set and the displacement data set using the above formula, taking into account the original position, displacement data, and the angle between the displacement detection direction and the horizontal coordinate of the preset coordinate system of each monitoring point. Through this calculation method, the new position of each monitoring point after displacement can be accurately obtained, thereby generating an accurate monitoring position set.

[0094] Due to the accuracy of displacement data and the precision of the monitoring location set, using these data for dam safety assessment can more accurately reflect the actual safety status of the dam, help managers to promptly identify potential safety hazards and take appropriate measures for early warning and disposal, thereby improving the safety and stability of the dam.

[0095] In addition, the above formula can adapt to dams of different shapes and sizes and the layout of different monitoring points. This means that no matter how complex the shape of the dam is, or how the layout of the monitoring points changes, these situations can be adapted by adjusting the parameters in the formula, thereby ensuring the accuracy of displacement measurement and the precision of the set of monitoring locations.

[0096] In one possible case, if the dam to be monitored is a symmetrical structure with respect to the normal direction of the preset reference monitoring point, then .

[0097] S203. The monitoring server determines monitoring location fluctuation characteristic parameters according to the monitoring location set.

[0098] Optionally, the monitoring server uses Formula 2 and sets the monitoring location according to Determine the fluctuation characteristic parameters of the monitoring location , Formula 2 is:

[0099]

[0100] Specifically, by calculating the monitoring position fluctuation characteristic parameters, the fluctuation of the displacement of the monitoring point can be quantified, thereby more accurately reflecting the actual deformation of the dam. This step helps to reduce the evaluation errors caused by factors such as noise, errors or abnormal events, and improve the reliability of the evaluation results. Judging whether the monitoring position fluctuation characteristic parameters are greater than the preset monitoring position fluctuation characteristic threshold is actually a data screening mechanism. When it is greater than the preset threshold, it may mean that there are abnormal or unstable factors in the monitoring data. At this time, you can choose not to perform subsequent calculations to avoid these abnormal data from having a negative impact on the accuracy of the energy storage characteristic equivalent. This screening mechanism helps to maintain the accuracy and stability of the evaluation. In practical applications, the preset monitoring position fluctuation characteristic threshold can be adjusted according to the specific situation to adapt to different dams, different monitoring conditions and different evaluation needs. This flexibility helps to improve the applicability and practicality of the evaluation. By calculating and judging the monitoring position fluctuation characteristic parameters, abnormal fluctuations in the monitoring data can be discovered in a timely manner, thereby warning of potential safety hazards. It can be seen that by comprehensively considering the information of the two aspects of monitoring position fluctuation characteristic parameters and energy storage characteristic equivalent, the evaluation results can be made more comprehensive and reliable. This multi-level and multi-angle evaluation method helps to reduce the possibility of misjudgment and missed judgment and improve the accuracy and credibility of the evaluation.

[0101] S204. The monitoring server determines the energy storage characteristic equivalent according to the coordinates of the original position set in the preset coordinate system and the coordinates of the monitoring position set in the preset coordinate system.

[0102] The monitoring server determines the monitoring location fluctuation characteristic parameters The monitoring server uses Formula 3 and the original location set And monitoring location collection Determine the energy storage characteristic equivalent , Formula 3 is:

[0103]

[0104] in, To monitor the location collection Middle The horizontal coordinate of each monitoring position in the preset coordinate system, To monitor the location collection Middle The vertical coordinate of each monitoring position in the preset coordinate system, The original position set Middle The horizontal coordinate of each monitoring position in the preset coordinate system, The original position set Middle The vertical coordinate of each monitoring position in the preset coordinate system, is the number of monitoring points set on the dam to be monitored.

[0105] In the above scheme, the above formula can be used to quantify the degree of deformation of the dam during the monitoring period. The energy storage characteristic equivalent is a quantitative indicator that characterizes the degree of hydraulic energy accumulation on the cross section of the dam perpendicular to the height direction. Its accuracy directly affects the results of the dam safety assessment. Accurately calculating the energy storage characteristic equivalent through the above formula can make the safety assessment more accurate and reliable, and help to timely discover potential safety hazards. In addition, the calculation method of the above formula does not depend on the specific shape or size of the dam, but is calculated based on the actual coordinates of the monitoring point. Therefore, this method is suitable for dams of different shapes and sizes, and has strong versatility and adaptability. By calculating the energy storage characteristic equivalent, the safety status of the dam can be converted into specific quantitative indicators, providing data support for the formulation of targeted safety management measures. Managers can adjust the safety management strategy in time according to the size and change trend of the energy storage characteristic equivalent to ensure the safe operation of the dam.

[0106] S205. The monitoring server generates an original contour curve in a preset coordinate system according to the original position set, generates a monitoring contour curve in a preset coordinate system according to the monitoring position set, and determines the energy storage characteristic equivalent according to the original contour curve and the monitoring contour curve.

[0107] Specifically, if the monitoring server determines the monitoring location fluctuation characteristic parameter If the value is less than or equal to the preset monitoring position fluctuation characteristic threshold, the monitoring server generates an original contour curve in the preset coordinate system according to the original position set. , and generate monitoring contour curves in the preset coordinate system based on the monitoring position set .

[0108] The monitoring server uses formula 4 and according to the original contour curve And monitoring profile curve Determine the energy storage characteristic equivalent , Formula 4 is:

[0109]

[0110] in, is the horizontal coordinate of the first monitoring point in the vibrating wire multi-point displacement meter sequence in the preset coordinate system, is the horizontal coordinate of the nth monitoring point in the vibrating wire multi-point displacement meter sequence in the preset coordinate system, and n is the number of monitoring points.

[0111] In the above scheme, by generating the original contour curve and the monitoring contour curve, the deformation of the dam during the monitoring period can be described more accurately. These two curves not only reflect the size of the displacement data, but also include the trend of the displacement data changing with position, thereby improving the accuracy of the assessment. The introduction of the original contour curve and the monitoring contour curve enables the assessment results to intuitively display the deformation of the dam through the shape and trend of the curve. This enhanced intuitiveness helps managers to identify potential safety hazards more quickly. In addition, the above formula determines the energy storage characteristic equivalent by calculating the area difference between the original contour curve and the monitoring contour curve (that is, the integral of the absolute distance between the two on the horizontal axis), which not only considers the absolute value of the displacement, but also considers the continuity of the displacement changing with position, thereby more accurately reflecting the deformation energy accumulation of the dam during the monitoring period. By calculating the energy storage characteristic equivalent, the safety status of the dam can be converted into specific quantitative indicators, which provides strong support for the formulation of targeted safety management measures. Managers can adjust the safety management strategy in time according to the size and change trend of the energy storage characteristic equivalent to ensure the safe operation of the dam.

[0112] S206: The monitoring server sends monitoring information to the monitoring terminal.

[0113] The dam monitoring system may further include a monitoring terminal, which is in communication with the monitoring server. In this step, the monitoring server generates a displacement cloud map based on the displacement data set, and the displacement cloud map includes displacement color feature information of each monitoring point on the dam to be monitored, and the displacement color feature information is associated with the displacement data. The monitoring server sends monitoring information to the monitoring terminal, and the monitoring information includes the displacement cloud map and the safety level.

[0114] The monitoring server generates a displacement cloud map based on the displacement data set, which intuitively displays the displacement of each monitoring point on the dam to be monitored through color feature information. This visual presentation method enables managers to understand the deformation of the dam more quickly and improves the efficiency of understanding the safety status of the dam. In addition, through the monitoring terminal, the monitoring server can send monitoring information (including displacement cloud maps and safety levels) to relevant personnel in real time or regularly, so that managers can grasp the safety status of the dam anytime and anywhere, improving the transmission efficiency of monitoring information.

[0115] It is worth noting that, in another possible implementation manner, determining the energy storage characteristic equivalent according to the original position set and the monitoring position set may also include:

[0116] The monitoring server uses formula 5 and sets the original position And monitoring location collection Determine the first energy storage characteristic equivalent , Formula 5 is:

[0117]

[0118] in, To monitor the location collection Middle The horizontal coordinate of each monitoring position in the preset coordinate system, To monitor the location collection Middle The vertical coordinate of each monitoring position in the preset coordinate system, The original position set Middle The horizontal coordinate of each monitoring position in the preset coordinate system, The original position set Middle The vertical coordinate of each monitoring position in the preset coordinate system, is the number of monitoring points set up on the dam to be monitored;

[0119] The monitoring server generates the original contour curve in the preset coordinate system according to the original position set , and generate monitoring contour curves in the preset coordinate system based on the monitoring position set ;

[0120] The monitoring server uses formula 6 and according to the original contour curve And monitoring profile curve Determine the second energy storage characteristic equivalent , Formula 6 is:

[0121]

[0122] in, is the horizontal coordinate of the first monitoring point in the vibrating wire multi-point displacement meter sequence in the preset coordinate system, is the horizontal coordinate of the nth monitoring point in the vibrating wire multi-point displacement meter sequence in the preset coordinate system, and n is the number of monitoring points;

[0123] The monitoring server uses formula 7 and calculates the first energy storage characteristic equivalent And the second energy storage characteristic equivalent Determine the energy storage characteristic equivalent , Formula 7 is:

[0124]

[0125] in, is the weight coefficient.

[0126] Optionally, the above weight coefficients Calibration can be performed based on the profile parameters of the dam to be monitored, hydrological conditions and historical monitoring data.

[0127] In the above scheme, Formula 5 uses the method of discrete area superposition and calculates half of the sum of the product differences of the horizontal and vertical coordinates of adjacent monitoring points in the preset coordinate system between the monitoring position set and the original position set. The energy accumulation caused by the displacement change of the dam during the monitoring period is quantified through the discrete deformation area, and the direction and magnitude of the displacement change are taken into account, which can more comprehensively reflect the deformation of the dam. Compared with direct comparison of displacement data, this method avoids the errors that may be caused by different displacement directions and improves the accuracy of the assessment.

[0128] Formula 6 further quantifies the deformation energy accumulation of the dam by calculating the area difference between the original contour curve and the monitoring contour curve (i.e., the integral of the absolute distance between the two on the horizontal axis). This method not only considers the absolute value of the displacement, but also the continuity of the displacement with position, thus more accurately reflecting the deformation of the dam. By generating and comparing contour curves, the deformation trend of the dam during the monitoring period can be intuitively displayed, providing managers with more intuitive monitoring results.

[0129] Then, in Formula 7, by introducing the weight coefficient, the first energy storage characteristic equivalent and the second energy storage characteristic equivalent are weighted and summed to obtain the final energy storage characteristic equivalent. This method comprehensively considers the overall trend and local details of displacement changes, where the overall trend and local details can be associated with the contour parameters, hydrological conditions and historical monitoring data of the dam, making the evaluation results more comprehensive and accurate. By adjusting the weight coefficient, the impact of the overall trend and local details on the evaluation results can be balanced according to the actual situation, improving the flexibility and applicability of the evaluation.

[0130] In summary, by introducing Formula 5, Formula 6 and Formula 7 to calculate the energy storage characteristic equivalent, not only the accuracy of dam safety assessment is improved, but also more intuitive and comprehensive monitoring results are provided to managers. This method comprehensively considers the direction, size and continuity of displacement changes, as well as the impact of overall trends and local details on the assessment results, making dam safety assessment more scientific, reasonable and reliable.

[0131] Figure 3 FIG. 1 is a schematic diagram of a dam monitoring system according to an exemplary embodiment of the present application. Figure 3 As shown, the dam monitoring system 300 provided in this embodiment includes: a vibrating-wire multi-point displacement meter sequence 310 and a monitoring server 320, wherein each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence 310 is communicatively connected with the monitoring server 320;

[0132] Acquire displacement data of each monitoring point set along the length extension direction of the dam to be monitored by each vibrating wire multi-point displacement meter in the vibrating wire multi-point displacement meter sequence 310, and send the displacement data to the monitoring server 320 to form a displacement data set;

[0133] The monitoring server 320 generates a monitoring position set according to the original position set and the displacement data set, wherein the original position set includes the original positions of each monitoring point on the dam to be monitored;

[0134] The monitoring server 320 uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set.

[0135] Optionally, the monitoring server 320 uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, including:

[0136] If the monitoring server 320 determines that there is displacement data greater than a preset displacement threshold in the displacement data set, then the security level is determined to be the first security level;

[0137] If the monitoring server 320 determines that there is no displacement data greater than the preset displacement threshold in the displacement data set, an energy storage characteristic equivalent is determined according to the original position set and the monitoring position set, wherein the energy storage characteristic equivalent is used to characterize the hydraulic energy accumulation degree on the cross section of the dam to be monitored perpendicular to the height direction, and the hydraulic energy accumulation degree includes the hydraulic potential energy accumulation degree and the hydraulic kinetic energy impact degree;

[0138] If the monitoring server 320 determines that the energy storage characteristic equivalent is greater than the preset energy storage characteristic equivalent, the safety level is determined to be a second safety level, and the second safety level is higher than the first safety level;

[0139] If the monitoring server 320 determines that the energy storage characteristic equivalent is less than or equal to the preset energy storage characteristic equivalent, the safety level is determined to be the third safety level, and the third safety level is higher than the second safety level.

[0140] Optionally, determining the energy storage characteristic equivalent according to the original position set and the monitoring position set includes:

[0141] The monitoring server 320 determines the energy storage characteristic equivalent according to the coordinates of the original position set in the preset coordinate system and the coordinates of the monitoring position set in the preset coordinate system.

[0142] Optionally, before the monitoring server 320 determines the energy storage characteristic equivalent according to the coordinates of the original position set in the preset coordinate system and the coordinates of the monitoring position set in the preset coordinate system, the method further includes:

[0143] The monitoring server 320 determines monitoring position fluctuation characteristic parameters according to the monitoring position set;

[0144] The monitoring server 320 determines that the monitoring location fluctuation characteristic parameter is greater than a preset monitoring location fluctuation characteristic threshold.

[0145] Optionally, the determining the energy storage characteristic equivalent according to the original position set and the monitoring position set further includes:

[0146] If the monitoring server 320 determines the monitoring location fluctuation characteristic parameter is less than or equal to the preset monitoring position fluctuation characteristic threshold, the monitoring server 320 generates an original contour curve in a preset coordinate system according to the original position set, and generates a monitoring contour curve in the preset coordinate system according to the monitoring position set;

[0147] The monitoring server 320 determines the energy storage characteristic equivalent according to the original profile curve and the monitoring profile curve.

[0148] Optionally, the displacement detection direction of each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence 310 coincides with the normal direction of the dam to be monitored at the corresponding monitoring point position; correspondingly, the monitoring server 320 generates a monitoring position set according to the original position set and the displacement data set, including:

[0149] The monitoring server 320 determines the monitoring position set according to the original position set, the displacement data set, and a preset angle between the displacement detection direction of each vibrating wire multi-point displacement meter in the vibrating wire multi-point displacement meter sequence 310 and the horizontal axis of the preset coordinate system.

[0150] Optionally, the dam monitoring system further includes a monitoring terminal, which is in communication connection with the monitoring server 320; correspondingly, after the monitoring server 320 uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, it further includes:

[0151] The monitoring server 320 generates a displacement cloud map according to the displacement data set, wherein the displacement cloud map includes displacement color feature information of each monitoring point on the dam to be monitored, and the displacement color feature information is associated with the displacement data;

[0152] The monitoring server 320 sends monitoring information to the monitoring terminal, where the monitoring information includes the displacement cloud map and the safety level.

[0153] Figure 4 is a schematic diagram of the structure of an electronic device according to an exemplary embodiment of the present application. Figure 4 As shown, an electronic device 400 provided in this embodiment includes: a processor 401 and a memory 402; wherein:

[0154] The memory 402 is used to store computer programs, and the memory may also be a flash memory.

[0155] The processor 401 is used to execute the execution instructions stored in the memory to implement each step in the above method. For details, please refer to the relevant description in the above method embodiment.

[0156] Optionally, the memory 402 may be independent or integrated with the processor 401 .

[0157] When the memory 402 is a device independent of the processor 401, the electronic device 400 may further include:

[0158] The bus 403 is used to connect the memory 402 and the processor 401 .

[0159] This embodiment further provides a readable storage medium, in which a computer program is stored. When at least one processor of an electronic device executes the computer program, the electronic device executes the methods provided in the above-mentioned various implementation modes.

[0160] This embodiment also provides a program product, which includes a computer program stored in a readable storage medium. At least one processor of the electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device implements the methods provided in the above various embodiments.

[0161] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the claims.

[0162] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A vibrating wire multi-point displacement meter data processing method, characterized in that: The invention is applied to a dam monitoring system, wherein the dam monitoring system comprises a vibrating-wire multi-point displacement meter sequence and a monitoring server, wherein each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence is communicatively connected with the monitoring server; and the method comprises: Acquiring displacement data of each monitoring point set along the length extension direction of the dam to be monitored by each vibrating wire multi-point displacement meter in the vibrating wire multi-point displacement meter sequence, and sending the displacement data to the monitoring server to form a displacement data set; The monitoring server generates a monitoring position set according to the original position set and the displacement data set, wherein the original position set includes the original positions of each monitoring point on the dam to be monitored; The monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set; The monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, including: If the monitoring server determines that there is displacement data greater than a preset displacement threshold in the displacement data set, then determining that the security level is the first security level; If the monitoring server determines that there is no displacement data greater than the preset displacement threshold in the displacement data set, then determine the energy storage characteristic equivalent according to the original position set and the monitoring position set, wherein the energy storage characteristic equivalent is used to characterize the hydraulic energy accumulation degree on the cross section of the dam to be monitored perpendicular to the height direction, and the hydraulic energy accumulation degree includes the hydraulic potential energy accumulation degree and the hydraulic kinetic energy impact degree; If the monitoring server determines that the energy storage characteristic equivalent is greater than the preset energy storage characteristic equivalent, the safety level is determined to be a second safety level, and the second safety level is higher than the first safety level; If the monitoring server determines that the energy storage characteristic equivalent is less than or equal to the preset energy storage characteristic equivalent, the safety level is determined to be a third safety level, and the third safety level is higher than the second safety level; The determining of the energy storage characteristic equivalent according to the original position set and the monitoring position set includes: The monitoring server uses the target formula and according to the original position set The coordinates in the preset coordinate system and the monitoring position set The coordinates in the preset coordinate system determine the energy storage characteristic equivalent , where the target formula is: ； in, The monitoring location set Middle The horizontal coordinate of each monitoring position in the preset coordinate system, The monitoring location set Middle The vertical coordinate of a monitoring position in the preset coordinate system, is the original position set Middle The horizontal coordinate of each monitoring position in the preset coordinate system, is the original position set Middle The vertical coordinate of a monitoring position in the preset coordinate system, is the number of monitoring points set on the dam to be monitored.

2. The vibrating wire multi-point displacement meter data processing method according to claim 1, characterized in that: Before the monitoring server determines the energy storage characteristic equivalent according to the coordinates of the original position set in the preset coordinate system and the coordinates of the monitoring position set in the preset coordinate system, the method further includes: The monitoring server determines a monitoring position fluctuation characteristic parameter according to the monitoring position set; The monitoring server determines that the monitoring location fluctuation characteristic parameter is greater than a preset monitoring location fluctuation characteristic threshold.

3. The vibrating wire multi-point displacement meter data processing method according to claim 2, characterized in that: The determining of the energy storage characteristic equivalent according to the original position set and the monitoring position set further includes: If the monitoring server determines that the monitoring location fluctuation characteristic parameter is less than or equal to the preset monitoring position fluctuation characteristic threshold, the monitoring server generates an original contour curve in a preset coordinate system according to the original position set, and generates a monitoring contour curve in the preset coordinate system according to the monitoring position set; The monitoring server determines the energy storage characteristic equivalent according to the original profile curve and the monitoring profile curve.

4. The vibrating wire multi-point displacement meter data processing method according to any one of claims 1 to 3, characterized in that: The displacement detection direction of each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence coincides with the normal direction of the dam to be monitored at the corresponding monitoring point position; Correspondingly, the monitoring server generates a monitoring position set according to the original position set and the displacement data set, including: The monitoring server determines the monitoring position set according to the original position set, the displacement data set, and a preset angle between a displacement detection direction of each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence and a horizontal axis of the preset coordinate system.

5. The vibrating wire multi-point displacement meter data processing method according to any one of claims 1 to 3, characterized in that: The dam monitoring system further includes a monitoring terminal, which is in communication with the monitoring server; correspondingly, after the monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, it also includes: The monitoring server generates a displacement cloud map according to the displacement data set, wherein the displacement cloud map includes displacement color feature information of each monitoring point on the dam to be monitored, and the displacement color feature information is associated with the displacement data; The monitoring server sends monitoring information to the monitoring terminal, where the monitoring information includes the displacement cloud map and the safety level.

6. A dam monitoring system, characterized in that: include: A vibrating-wire multi-point displacement meter sequence and a monitoring server, wherein each vibrating-wire multi-point displacement meter in the vibrating-wire multi-point displacement meter sequence is communicatively connected with the monitoring server; Acquiring displacement data of each monitoring point set along the length extension direction of the dam to be monitored by each vibrating wire multi-point displacement meter in the vibrating wire multi-point displacement meter sequence, and sending the displacement data to the monitoring server to form a displacement data set; The monitoring server generates a monitoring position set according to the original position set and the displacement data set, wherein the original position set includes the original positions of each monitoring point on the dam to be monitored; The monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set; The monitoring server uses a preset dam safety assessment model and determines the safety level of the dam to be monitored according to the original position set and the monitoring position set, including: If the monitoring server determines that there is displacement data greater than a preset displacement threshold in the displacement data set, then determining that the security level is the first security level; If the monitoring server determines that there is no displacement data greater than the preset displacement threshold in the displacement data set, then determine the energy storage characteristic equivalent according to the original position set and the monitoring position set, wherein the energy storage characteristic equivalent is used to characterize the hydraulic energy accumulation degree on the cross section of the dam to be monitored perpendicular to the height direction, and the hydraulic energy accumulation degree includes the hydraulic potential energy accumulation degree and the hydraulic kinetic energy impact degree; If the monitoring server determines that the energy storage characteristic equivalent is greater than the preset energy storage characteristic equivalent, the safety level is determined to be a second safety level, and the second safety level is higher than the first safety level; If the monitoring server determines that the energy storage characteristic equivalent is less than or equal to the preset energy storage characteristic equivalent, the safety level is determined to be a third safety level, and the third safety level is higher than the second safety level; The determining of the energy storage characteristic equivalent according to the original position set and the monitoring position set includes: The monitoring server uses the target formula and according to the original position set The coordinates in the preset coordinate system and the monitoring position set The coordinates in the preset coordinate system determine the energy storage characteristic equivalent , where the target formula is: ； in, The monitoring location set Middle The horizontal coordinate of each monitoring position in the preset coordinate system, The monitoring location set Middle The vertical coordinate of a monitoring position in the preset coordinate system, is the original position set Middle The horizontal coordinate of each monitoring position in the preset coordinate system, is the original position set Middle The vertical coordinate of a monitoring position in the preset coordinate system, is the number of monitoring points set on the dam to be monitored.

7. An electronic device, characterized in that: include: processor; as well as, A memory, configured to store executable instructions of the processor; The processor is configured to perform the method of any one of claims 1 to 5 by executing the executable instructions.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 5 when executed by a processor.

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