Intelligent monitoring system for stress and seepage of water gate structure

Abstract

The application discloses a water gate structure stress and seepage flow intelligent monitoring system, and belongs to the technical field of water conservancy projects.The system comprises a stress monitoring module, a seepage flow collecting module and a data processing and analysis module.The stress monitoring module is used for monitoring the stress change of the water gate, including the stress change of key parts, wherein the key parts include a gate pier, a gate and a breast wall.The seepage flow collecting module is used for collecting the seepage pressure and seepage flow of the water gate.The data processing and analysis module is used for processing the stress change, seepage pressure and seepage flow, including cleaning and correction.The application can monitor the stress change of the key parts of the water gate, collect the seepage pressure and seepage flow, obtain more comprehensive and accurate monitoring data, and perform fusion processing on the data, so that the limitation of relatively independent data in traditional monitoring is broken, mutual verification and supplement among the data are realized, the safety state of the water gate is comprehensively evaluated from multiple dimensions, and the accuracy and reliability of monitoring are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of hydraulic engineering, in particular to a stress and seepage intelligent monitoring system for a water gate structure. BACKGROUND

[0002] The water gate plays a key role in controlling and regulating in hydraulic engineering, and its safe operation is crucial. However, during the long-term operation of the water gate, it will be affected by various factors such as water flow impact, gate opening and closing, upstream and downstream water level changes, etc., resulting in stress changes in the structure, and seepage problems may also occur. If these problems cannot be discovered and handled in time, it may cause damage or even collapse of the water gate, resulting in serious safety accidents and economic losses.

[0003] For this aspect, the application file with application number CN202411549596.0 provides an intelligent monitoring system for seepage of hydraulic engineering, which includes a multi-sensor perception module, a data acquisition module, a data fusion and processing module, a machine learning prediction module, an intelligent decision-making module, a self-adaptive monitoring scheduling module, an automatic inspection and response module, a digital twin and simulation analysis module, and a communication module. The multi-sensor perception module is responsible for real-time acquisition of multi-dimensional data related to seepage. This technical solution can learn from historical data and real-time data, automatically identify complex seepage patterns, and predict future risks in advance, realizing forward-looking management of seepage risks of hydraulic engineering, and significantly improving the prediction accuracy and response speed of the system.

[0004] Another application file with application number CN202410037466.2 provides a water gate seepage monitoring method based on Internet of Things technology, which includes collecting water gate seepage monitoring data, obtaining the possible degree of the left and right data points of each data point as the neighborhood data of the data point according to the amplitude difference between the data points and their left and right data points in the monitoring data, and then obtaining the neighborhood data interval of each data point; obtaining the similarity of the neighborhood data interval of different data points according to the data difference between different data point neighborhood data intervals; and constructing a similarity matrix according to the similarity of the neighborhood data interval of different data points. This technical solution monitors the water gate seepage by adapting the number of neighbors, making the monitoring results more accurate.

[0005] However, the above technical solutions lack effective collaborative analysis of important safety indicators such as structural stress and seepage, for example, there is a lack of effective correlation analysis between deformation monitoring data and seepage monitoring data, which cannot timely discover the implicit information and potential safety hazards in the data, making it difficult to comprehensively evaluate the safety state of the water gate from multiple dimensions, affecting the evaluation of the overall safety of the water gate. SUMMARY

[0006] In view of the above problems existing in the prior art of hydraulic engineering field, the present application is proposed.

[0007] Therefore, one of the purposes of the present application is to provide a water gate structure stress and seepage intelligent monitoring system, which can monitor the stress changes of the key parts of the water gate, collect the seepage pressure and seepage flow, obtain more comprehensive and accurate monitoring data, and perform fusion processing on the data, breaking the limitation of relative independence of each data in traditional monitoring, realizing mutual verification and supplement between data, comprehensively evaluating the safety state of the water gate from multiple dimensions, and improving the accuracy and reliability of monitoring.

[0008] To solve the above technical problems, the present application provides the following technical solutions:

[0009] The present application provides a water gate structure stress and seepage intelligent monitoring system, which comprises:

[0010] A stress monitoring module is used to monitor the stress changes of the water gate, including the stress changes of the key parts, which include the pier, gate and breast wall;

[0011] A seepage collection module is used to collect the seepage pressure and seepage flow of the water gate;

[0012] A data processing and analysis module is used to process the stress changes, seepage pressure and seepage flow, including cleaning and correction; and to perform correlation analysis on the processed stress changes, seepage pressure and seepage flow;

[0013] A data fusion processing module is used to perform fusion processing on the stress and seepage of the water gate according to the results of the correlation analysis; the data fusion processing module comprises a distinguishing unit, a calculation unit and an evaluation and early warning unit;

[0014] The distinguishing unit is used to distinguish the stress of the water gate according to the results of the correlation analysis, including distinguishing the stress by the area of the water gate, and distinguishing the stress into upper stress and lower stress; the upper stress and the lower stress correspond to the upper half and the lower half of the water gate, respectively;

[0015] The calculation unit responds to the distinguishing unit and is used to calculate the stress of the water gate based on the dividing line of the upper half and the lower half of the water gate, including calculating the regular change of the stress of the dividing line to the lower stress;

[0016] The evaluation and early warning unit responds to the calculation unit and is used to preset a risk threshold for the stress; if the change of the stress of the dividing line to the lower stress exceeds the risk threshold, the system determines that there is a safety hazard in the water gate and issues a warning; otherwise, it is not determined;

[0017] The seepage pressure collecting module is used for collecting the seepage pressure of the sluice when the system determines that the sluice has a safety hazard, and collecting the seepage pressure of relevant stress points; and a critical value of the seepage pressure is preset.

[0018] As a preferred scheme of the present application, in the seepage pressure collecting module, the relevant stress points include stress points divided in the lower stress, and the division manner includes dividing 3-5 largest stress points in the lower stress, collecting the seepage pressure closest to the 3-5 largest stress points, and the seepage pressure is the seepage pressure within 10 cm from the 3-5 largest stress points; if the seepage pressure exceeds the critical value, the system determines that the sluice has a risk of seepage, and issues a warning; otherwise, no determination is made.

[0019] As a preferred scheme of the present application, in the data processing and analysis module, the processing further includes feature extraction of the stress change, seepage pressure and seepage flow; wherein the feature extraction of the stress change includes extraction of stress peak value, stress average value and stress fluctuation frequency;

[0020] The feature extraction of the seepage pressure and seepage flow includes extraction of pressure change rate and seepage velocity.

[0021] As a preferred scheme of the present application, the extraction of the stress fluctuation frequency includes extraction by calculation of the standard deviation of the stress within a certain time, and the standard deviation is the standard deviation of time interval of 5-10 minutes; and the standard deviation is calculated according to the following formula: ; wherein, the standard deviation of the stress is represented by

[0022] In the formula, the stress of the i-th stress point is represented by the average value of the stress is represented by the average value is the concentration tendency of the stress, and the calculation formula is: ; the total number of the stress is represented by the square of the difference between each stress and the average value is represented by As a preferred scheme of the present application, the extraction of the seepage velocity includes extraction by calculation of the derivative of the seepage flow, and the derivative is calculated according to the following formula: ; wherein, the seepage velocity is represented by

[0023] In the formula, the seepage flow is represented by the time is used for obtaining the change of the seepage flow with time; indicates the seepage flow rate derivative of time , i.e. the rate of change of the seepage flow rate with time.

[0024] As a preferred scheme of the present application, in the calculation unit, the stress of the boundary line to the lower stress is calculated according to the following formula: ; wherein, indicates the stress at the depth of of the lower half of the sluice;

[0025] In the formula, indicates the maximum stress of the lower half of the sluice, indicates the total height of the lower half of the sluice, indicates the distribution index of the stress.

[0026] As a preferred scheme of the present application, when the stress fluctuation frequency and the seepage flow rate corresponding to the stress of the boundary line to the lower stress exceeding the risk threshold value are marked as the reference stress fluctuation frequency and the reference seepage flow rate, and the water level height corresponding to the reference stress fluctuation frequency and the reference seepage flow rate is obtained and marked as the reference water level height, the stress fluctuation frequency and the seepage flow rate when the water level is at half of the reference water level height are obtained based on the reference water level height, and the stress fluctuation frequency and the seepage flow rate when the water level height increases by 10 cm are analyzed based on the stress fluctuation frequency and the seepage flow rate, and the stress fluctuation frequency and the seepage flow rate are marked as the regular stress fluctuation frequency and the regular seepage flow rate; when the stress fluctuation frequency and the seepage flow rate of the sluice in the future period are obtained, if the stress fluctuation frequency and the seepage flow rate are lower than the regular stress fluctuation frequency and the regular seepage flow rate when the water level height is only half of the height of the sluice, the system determines that there is no safety hazard in the sluice; otherwise, it is determined that there is a safety hazard, and a warning is issued.

[0027] As a preferred scheme of the present application, when the stress fluctuation frequency and the seepage flow rate corresponding to the stress of the boundary line to the lower stress exceeding the risk threshold value are marked as the reference stress fluctuation frequency and the reference seepage flow rate, and the water level height corresponding to the reference stress fluctuation frequency and the reference seepage flow rate is obtained and marked as the reference water level height, the stress fluctuation frequency and the seepage flow rate when the water level is at half of the reference water level height are obtained based on the reference water level height, and the stress fluctuation frequency and the seepage flow rate when the water level height increases by 10 cm are analyzed based on the stress fluctuation frequency and the seepage flow rate, and the stress fluctuation frequency and the seepage flow rate are marked as the regular stress fluctuation frequency and the regular seepage flow rate; when the stress fluctuation frequency and the seepage flow rate of the sluice in the future period are obtained, if the stress fluctuation frequency and the seepage flow rate are lower than the regular stress fluctuation frequency and the regular seepage flow rate when the water level height is only half of the height of the sluice, the system determines that there is no safety hazard in the sluice; otherwise, it is determined that there is a safety hazard, and a warning is issued.

[0028] As a preferred scheme of the present application, wherein: when the system determines that the sluice has no safety hazard, then the difference between the stress fluctuation frequency and the seepage velocity of the middle part and the bottom end of the sluice is obtained under the water level height, the stress fluctuation frequency and the seepage velocity of the bottom end are the stress fluctuation frequency and the seepage velocity of the same horizontal line, and at least 5 stress fluctuation frequencies and seepage velocities are obtained at the bottom end, and the average value of the 5 stress fluctuation frequencies and seepage velocities is calculated, if the average value is greater than the stress fluctuation frequency and the seepage velocity of the middle part, the system determines that the sluice has a safety hazard, and issues a warning.

[0029] As a preferred scheme of the present application, wherein: when the average value is greater than the stress fluctuation frequency and the seepage velocity of the middle part, 2-3 maximum stress fluctuation frequencies and seepage velocities are collected among the 5 stress fluctuation frequencies and seepage velocities, and the stress fluctuation frequencies and seepage velocities are sorted in order from small to large, and the dangerous part of the sluice is divided according to the sorting result.

[0030] Beneficial effects:

[0031] By monitoring the stress changes of the key parts of the sluice and collecting the seepage pressure and seepage flow, more comprehensive and accurate monitoring data can be obtained, and the data are characterized, such as extracting important characteristics such as stress fluctuation frequency and seepage velocity, which helps to understand the stress and seepage conditions of the sluice more carefully and further improves the monitoring accuracy;

[0032] The system can fuse the stress and seepage of the sluice according to the result of the correlation analysis, break the limitation of the relative independence of each data in the traditional monitoring, realize the mutual confirmation and supplement between the data, comprehensively evaluate the safety state of the sluice from multiple dimensions, and improve the accuracy and reliability of the monitoring;

[0033] The system can evaluate the stress changes of the sluice in real time according to the preset risk threshold value, issue a warning in time when the change of the stress from the demarcation line to the lower stress exceeds the threshold value, or the seepage pressure exceeds the critical value, remind the relevant personnel to take measures, effectively prevent the occurrence of sluice accidents, and reduce the loss;

[0034] The present application also proposes a method for dividing the dangerous part of the sluice, when the average value is greater than the stress fluctuation frequency and the seepage velocity of the middle part, the larger stress fluctuation frequency and seepage velocity are collected and sorted, and then the dangerous part of the sluice is divided according to the sorting result, which helps to quickly and accurately locate the potential safety hazard area of the sluice, provides clear guidance for subsequent maintenance and repair work, facilitates reasonable arrangement of resources, and improves the maintenance efficiency;

[0035] The application can also adapt to the monitoring requirements under different water level changes, on the basis of obtaining the reference water level height, analyze the stress fluctuation frequency and seepage velocity when the water level is at half of the reference water level, and then infer the rule when the water level rises, so that the adaptability analysis of different water levels makes the system play a better role when facing the frequent changes of water level in the actual operation of the water gate, and has strong flexibility and practicality. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor. Among them:

[0037] Fig. 1 The modular structure schematic diagram of the water gate structure stress and seepage intelligent monitoring system of the embodiment of the present application;

[0038] Fig. 2 The flow structure schematic diagram of the embodiment of the present application;

[0039] The figure mark: 110-stress monitoring module; 120-seepage collection module; 130-data processing and analysis module; 140-data fusion processing module; 1401-distinguishing unit; 1402-computing unit; 1403-evaluation and early warning unit; 150-seepage pressure collection module. DETAILED DESCRIPTION

[0040] In order to make the purpose, technical scheme and advantages of the embodiment of the present application more clear, the technical scheme of the embodiment of the present application will be described clearly and completely in combination with the drawings of the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, not all the embodiments. Based on the described embodiment of the present application, all other embodiments obtained by those skilled in the art belong to the scope of protection of the present application.

[0041] Because the prior art lacks effective collaborative analysis of important safety indicators such as structural stress and seepage, it is difficult to comprehensively evaluate the safety state of the water gate from multiple dimensions, which affects the evaluation of the overall safety state of the water gate.

[0042] Based on this, the application provides a water gate structure stress and seepage intelligent monitoring system, which can monitor stress changes of key positions of the water gate, and collect seepage pressure and seepage flow, so that more comprehensive and accurate monitoring data can be obtained, and the data are fused and processed, the limitation of relative independence of each data in traditional monitoring is broken, mutual verification and supplement among the data are realized, the safety state of the water gate is comprehensively evaluated from multiple dimensions, and the accuracy and reliability of monitoring are improved.

[0043] The application will be further described in detail below by means of embodiments and in conjunction with the drawings.

[0044] Reference Figs. 1-2 For an embodiment of the application, the embodiment provides a water gate structure stress and seepage intelligent monitoring system, which comprises:

[0045] The stress monitoring module 110 is used for monitoring stress changes of the water gate, and comprises monitoring stress changes of key positions, the key positions comprising a gate pier, a gate and a breast wall;

[0046] In a feasible implementation scheme in the embodiment, stress sensors are arranged at key positions (such as the gate pier, the gate and the breast wall) of the water gate, which are used for monitoring stress change conditions of the water gate structure in real time. The sensors can adopt micro-resistance strain gauges or fiber Bragg grating sensors, have characteristics such as high precision, high sensitivity and strong anti-interference ability, and can accurately reflect stress states of the water gate under different working conditions.

[0047] The seepage collection module 120 is used for collecting seepage pressure and seepage flow of the water gate.

[0048] In a feasible implementation scheme in the embodiment, seepage monitoring points are arranged on the upstream and downstream of the water gate and around the gate foundation, and monitoring equipment such as seepage pressure gauges and flow meters is installed, so as to collect data such as seepage pressure and seepage flow in real time, to understand distribution, flow direction and intensity of seepage, and to judge seepage prevention performance of the water gate and whether there is a seepage hidden danger.

[0049] The data processing and analysis module 130 is used for processing stress changes, seepage pressure and seepage flow, and the processing comprises cleaning and correction; and the data processing and analysis module 130 is used for correlatively analyzing the processed stress changes, seepage pressure and seepage flow.

[0050] The data fusion processing module 140 is used for fusing and processing stress and seepage of the water gate according to a result of the correlatively analyzing; and the data fusion processing module 140 comprises a distinguishing unit 1401, a calculation unit 1402 and an evaluation and early warning unit 1403.

[0051] The distinguishing unit 1401 is configured to distinguish the stress of the water gate according to the result of the correlation analysis, including distinguishing the stress according to the area of the water gate, and distinguishing the stress into upper stress and lower stress, wherein the upper stress and the lower stress correspond to the upper half and the lower half of the water gate respectively;

[0052] The calculating unit 1402 is configured to calculate the stress of the water gate based on the dividing line between the upper half and the lower half of the water gate, including calculating the regular change of the stress of the dividing line to the lower stress;

[0053] In the embodiment, from the perspective of fluid mechanics, the pressure of a static water body on the surface of an object increases linearly with the increase of the depth, and for a water gate, the water body upstream of the water gate will generate a pressure on the water gate under the action of gravity, and the pressure gradually increases with the increase of the depth in the vertical direction, specifically, the water pressure on the upper half of the water gate is relatively small, while the water pressure on the lower half of the water gate is relatively large due to the large water depth, therefore, the water pressure on the water gate as a whole presents a distribution characteristic of small on the upper half and large on the lower half;

[0054] The calculating unit 1402 is configured to calculate the stress of the water gate based on the dividing line between the upper half and the lower half of the water gate, including calculating the regular change of the stress of the dividing line to the lower stress;

[0055] The evaluating and warning unit 1403 is configured to preset a risk threshold of the stress, and if the change of the stress of the dividing line to the lower stress exceeds the risk threshold, the system determines that the water gate has a safety risk and issues a warning, otherwise, the system does not determine that the water gate has a safety risk;

[0056] The seepage pressure collecting module 150 is configured to collect the seepage pressure of the water gate when the system determines that the water gate has a safety risk, including collecting the seepage pressure of the relevant stress points, and presetting a critical value of the seepage pressure;

[0057] In summary, the present application establishes a comprehensive monitoring system, the stress change of the key parts (pier, gate, breast wall) of the water gate is monitored by the stress monitoring module, the seepage pressure and seepage flow data are collected by the seepage collecting module, the data processing and analysis module is responsible for cleaning and correcting these data, and the correlation analysis is carried out, the data fusion processing module fuses and processes the stress and seepage of the water gate according to the result of the correlation analysis, the distinguishing unit, the calculating unit and the evaluating and warning unit arranged below the data fusion processing module are respectively used for stress distinguishing, stress calculation based on the dividing line and safety evaluation and warning according to the preset risk threshold, when the stress change exceeds the threshold, it is determined that there is a safety risk and a warning is issued, and the seepage pressure collecting module responds to the evaluating and warning unit to collect the seepage pressure of the relevant stress points when it is determined that there is a risk and to determine whether it exceeds the critical value;

[0058] This achieves comprehensive monitoring of sluice stress and seepage conditions, combines stress monitoring with seepage monitoring, can more comprehensively evaluate the safety state of the sluice through data fusion processing, discovers potential safety hazards in a timely manner and issues early warnings, and effectively improves the safety and reliability of sluice operation;

[0059] In the seepage pressure acquisition module, the relevant stress points include stress points divided in the downward stress, the division manner includes dividing the maximum 3-5 stress points in the downward stress, acquiring the seepage pressure closest to the maximum 3-5 stress points, the seepage pressure being the seepage pressure within 10 cm of the maximum 3-5 stress points; if the seepage pressure exceeds the critical value, the system determines that the sluice has a risk of seepage, and issues a warning; otherwise, it is not determined;

[0060] In this embodiment, the seepage pressure monitoring near the key stress points can more accurately capture the seepage risk, effectively monitor the seepage conditions, help take measures in a timely manner to prevent sluice accidents caused by seepage, and further enhance the safety monitoring capability of the sluice;

[0061] In the data processing and analysis module, the processing further includes feature extraction of stress changes, seepage pressure and seepage flow; wherein the feature extraction of stress changes includes extracting stress peak value, stress average value, stress fluctuation frequency;

[0062] The feature extraction of seepage pressure and seepage flow includes extracting pressure change rate and seepage velocity;

[0063] In this embodiment, in the data processing and analysis module, the stress peak value, average value, fluctuation frequency and other features are extracted for stress changes, and the pressure change rate and seepage velocity and other features are extracted for seepage pressure and seepage flow, so as to more deeply analyze the key characteristics of stress and seepage data;

[0064] Through feature extraction, the core features of stress and seepage can be more accurately grasped, more valuable information is provided for subsequent analysis and evaluation, which helps to discover abnormal signs earlier, improves the accuracy and sensitivity of monitoring, and more effectively safeguards the safety of the sluice;

[0065] The stress fluctuation frequency includes being extracted by calculating the standard deviation of stress within a certain time, and the standard deviation is the standard deviation of time interval of 5-10 minutes; and is calculated according to the following formula: ; wherein, represents the standard deviation of stress;

[0066] In the formula, represents the stress of the i-th stress point, represents the average value of stress;

[0067] ​Standard deviation is an important indicator for measuring the degree of stress dispersion. The larger the standard deviation, the stronger the stress fluctuation; the smaller the standard deviation, the more concentrated the stress.

[0068] For example, each of the multiple stress values ​​collected within a certain time period;

[0069] The average value represents the stress concentration tendency, and the calculation formula is: ;

[0070] This indicates the total number of stresses collected within 5 to 10 minutes. This represents the square of the difference between each stress and the average value;

[0071] It should be noted that this step is to eliminate the effect of negative values, make all differences positive, and amplify the differences in dispersion by squaring.

[0072] By using standard deviation to quantify the dispersion of stress, the intensity of stress fluctuations can be reflected, making the quantitative assessment of stress fluctuations more operable and accurate. This allows for a more detailed understanding of stress changes and provides strong support for judging the dynamic stress state of sluice gates.

[0073] The seepage velocity is extracted, including by calculating the derivative of the seepage flow rate, according to the following formula: ;in, Indicates the seepage velocity;

[0074] In the formula, represents the seepage flow rate. Indicates time, used to obtain the change of seepage flow over time; Indicates seepage flow rate Regarding time The derivative of the infiltration flow rate, i.e., the rate of change of the infiltration flow rate over time;

[0075] It should be noted that seepage velocity is an important physical quantity reflecting the strength of seepage. The unit is usually meters per second (m / s) or other length units divided by time units (such as cm / s). The greater the seepage velocity, the longer the distance the fluid travels along the seepage path per unit time, and the more obvious the seepage phenomenon.

[0076] Seepage flow rate refers to the volume of fluid passing through a certain cross-sectional area per unit time. Its unit is usually cubic meters per second (m³ / s), liters per second (L / s), or cubic meters per day (m³ / d), etc. The magnitude of seepage flow rate reflects the total amount of fluid flowing in porous media or seepage channels.

[0077] Time, measured in seconds, minutes, hours, or days, is the independent variable in this formula, used to describe how the seepage flow rate changes over time. The seepage velocity is determined by taking its derivative.

[0078] It reflects the change trend and the change speed of the seepage flow at a certain moment, and the positive and negative values also indicate whether the seepage flow is increasing or decreasing, and the seepage velocity calculated by the derivative of the seepage flow , can directly reflect the speed and direction of seepage at this moment;

[0079] By calculating the change rate of seepage flow with time by taking the derivative of seepage flow, the key seepage characteristic index of seepage velocity is obtained;

[0080] It can be more intuitive to grasp the strength and change trend of seepage, further improving the monitoring means of seepage and enhancing the control ability of seepage risk;

[0081] In the calculation unit, the stress of the demarcation line to the lower stress is calculated according to the following formula: ; Wherein, The stress at the depth of in the lower half of the sluice;

[0082] In the formula, The maximum stress of the lower half of the sluice, The total height of the lower half of the sluice, The stress distribution index;

[0083] In this embodiment, the stress distribution index is related to the structure form and load distribution of the sluice, and usually needs to be determined according to the actual situation, for example, for the uniformly distributed load condition, It can be taken as about 2;

[0084] In the calculation unit, the stress of the demarcation line to the lower stress is calculated by a specific formula, which considers the maximum stress, total height and stress distribution index of the lower half of the sluice, so as to quantify the distribution rule of stress along the depth;

[0085] This provides a quantitative calculation basis for the distribution rule of stress in the lower half of the sluice, which helps to more accurately grasp the stress change trend, so as to more scientifically evaluate the stress state of the lower half of the sluice and improve the accuracy of safety evaluation;

[0086] Based on the calculated stress fluctuation frequency and seepage velocity, the stress fluctuation frequency when the stress change of the demarcation line to the lower stress exceeds the risk threshold value and the seepage velocity when the seepage pressure exceeds the critical value are collected, and the stress fluctuation frequency corresponding to the stress change of the demarcation line to the lower stress when the risk threshold value is exceeded is marked as the reference stress fluctuation frequency, and the seepage velocity corresponding to the seepage pressure when the critical value is exceeded is marked as the reference seepage velocity. The water level height corresponding to the reference stress fluctuation frequency and the reference seepage velocity is obtained, and the water level height is marked as the reference water level height;

[0087] The stress fluctuation frequency and seepage velocity when the water level is at half of the reference water level height are obtained based on the reference water level height, the stress fluctuation frequency and seepage velocity when the water level height is increased by 10 cm are analyzed based on the stress fluctuation frequency and seepage velocity, and the stress fluctuation frequency and seepage velocity are marked as regular stress fluctuation frequency and regular seepage velocity; when the stress fluctuation frequency and seepage velocity of the water gate in the future time period are obtained, when the water level height is only half of the height of the water gate, if the stress fluctuation frequency and seepage velocity are lower than the regular stress fluctuation frequency and regular seepage velocity, the system determines that there is no safety hidden danger of the water gate; otherwise, it is determined that there is a safety hidden danger, and a warning is issued;

[0088] In this embodiment, based on the stress fluctuation frequency and seepage velocity, the data corresponding to when the stress of the boundary line exceeds the risk threshold value and when the seepage pressure exceeds the critical value are collected and marked as reference values, and the corresponding water level height is obtained as a reference. Then, based on the reference water level height, the change law of the stress fluctuation frequency and seepage velocity at different water levels is analyzed. In this way, the future stress and seepage conditions are compared and evaluated. If it is lower than the regular value, it is determined that there is no hidden danger, otherwise, a warning is issued.

[0089] Through the reference value and regular analysis, the safety state of the water gate can be dynamically evaluated in combination with the water level change, the adaptability monitoring and predication ability of the water gate under different water level conditions is enhanced, and the warning is more scientific and reasonable.

[0090] When the system determines that there is no safety hidden danger of the water gate, the difference between the stress fluctuation frequency and the difference between the seepage velocity of the middle and the bottom of the water gate are obtained under the condition of the water level height, wherein the stress fluctuation frequency and the seepage velocity of the bottom are the stress fluctuation frequency and the seepage velocity of the same horizontal line, and at least 5 stress fluctuation frequencies and seepage velocities at the bottom are obtained and the average value of the 5 stress fluctuation frequencies and seepage velocities is calculated. If the average value is greater than the stress fluctuation frequency and seepage velocity of the middle, the system determines that there is a safety hidden danger of the water gate, and a warning is issued.

[0091] In this embodiment, when the system determines that there is no safety hidden danger of the water gate, the difference between the stress fluctuation frequency and the difference between the seepage velocity of the middle and the bottom of the water gate are further obtained, and at least 5 stress fluctuation frequencies and seepage velocities at the bottom are obtained and the average value is calculated. If the average value is greater than the corresponding value of the middle, it is determined that there is a safety hidden danger and a warning is issued.

[0092] Through the analysis of the difference between the stress fluctuation frequency and the difference between the seepage velocity of different parts of the water gate and the average value calculation of the bottom data, the stress and seepage distribution inside the water gate can be more comprehensively understood, local hidden dangers can be prevented from being ignored, and the accuracy of safety hidden danger judgment is further improved.

[0093] When the average value is greater than the stress fluctuation frequency and the seepage velocity in the middle, 2-3 maximum stress fluctuation frequencies and seepage velocities are collected from 5 stress fluctuation frequencies and seepage velocities, and the stress fluctuation frequencies and the seepage velocities are sorted in ascending order, and the dangerous parts of the sluice are divided according to the sorting result;

[0094] In the embodiment, the sluice is affected by various factors during operation, such as water flow impact, water level change, temperature change, etc., resulting in continuous change of stress state, stress fluctuation frequency, i.e. the number of stress changes per unit time, reflecting the dynamic response of the sluice structure under the action of these factors. When the stress fluctuation frequency exceeds a certain value, it indicates that the part is under high stress cyclic action, and is prone to fatigue damage or structural damage risk. Therefore, the stress fluctuation frequency and the seepage velocity are sorted in ascending order, and the dangerous parts of the sluice are divided according to the sorting result, which has practical significance.

[0095] In summary, the present application can monitor the stress change of the key parts of the sluice, and collect the seepage pressure and seepage flow, so as to obtain more comprehensive and accurate monitoring data. The data are fused and processed, breaking the relative independence of each data in traditional monitoring, realizing mutual verification and supplement between data, comprehensively evaluating the safety state of the sluice from multiple dimensions, and improving the accuracy and reliability of monitoring.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit it. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. An intelligent monitoring system for stress and seepage of a sluice structure, characterized in that, The application relates to a stress monitoring system for a water gate, comprising: a stress monitoring module for monitoring stress changes of the water gate, including monitoring stress changes of key positions, including a gate pier, a gate and a breast wall; a seepage collection module for collecting seepage pressure and seepage flow of the water gate; a data processing and analysis module for processing the stress changes, the seepage pressure and the seepage flow, including cleaning and correction; and for carrying out correlation analysis on the processed stress changes, the seepage pressure and the seepage flow; the processing further comprises feature extraction of the stress changes, the seepage pressure and the seepage flow; wherein the feature extraction of the stress changes comprises extracting stress peak values, stress average values and stress fluctuation frequencies; the feature extraction of the seepage pressure and the seepage flow comprises extracting pressure change rates and seepage velocities; a data fusion processing module for fusion processing of the stress and the seepage of the water gate according to the results of the correlation analysis; the data fusion processing module comprises a distinguishing unit, a calculation unit and an evaluation and early warning unit; the distinguishing unit is used for distinguishing the stress of the water gate according to the results of the correlation analysis, including distinguishing the stress according to the area of the water gate, and distinguishing the stress into upper stress and lower stress; the upper stress and the lower stress correspond to the upper half and the lower half of the water gate respectively; the calculation unit is used for calculating the stress of the water gate based on the boundary line of the upper half and the lower half of the water gate in response to the distinguishing unit, including calculating the regular change of the stress of the boundary line to the lower stress according to the following formula: ; wherein, represents the stress at a depth of the lower half of the sluice. wherein represents the maximum stress of the lower half of the sluice, represents the total height of the lower half of the sluice, represents the distribution exponent of the stress; based on the extracted stress fluctuation frequencies and seepage velocities, the stress fluctuation frequency when the change of the stress of the boundary line to the lower stress exceeds a risk threshold value and the seepage velocity when the seepage pressure exceeds a critical value are collected, the stress fluctuation frequency corresponding to the change of the stress of the boundary line to the lower stress exceeding the risk threshold value is marked as a reference stress fluctuation frequency, the seepage velocity corresponding to the seepage pressure exceeding the critical value is marked as a reference seepage velocity, the water level height corresponding to the reference stress fluctuation frequency and the reference seepage velocity is obtained, and the water level height is marked as a reference water level height; the stress fluctuation frequency and the seepage velocity when the water level is at one half of the reference water level height are obtained based on the reference water level height, the stress fluctuation frequency and the seepage velocity when the water level height is increased by 10 cm are analyzed based on the stress fluctuation frequency and the seepage velocity, and the stress fluctuation frequency and the seepage velocity are marked as regular stress fluctuation frequency and regular seepage velocity; when the stress fluctuation frequency and the seepage velocity of the water gate in a future period are obtained, if the stress fluctuation frequency and the seepage velocity are lower than the regular stress fluctuation frequency and the regular seepage velocity when the water level height is only one half of the height of the water gate, the system determines that the water gate has no safety hidden danger; otherwise, it is determined that there is a safety hidden danger, and an early warning is given; the evaluation and early warning unit is used for presetting a risk threshold value of the stress in response to the calculation unit; if the change of the stress of the boundary line to the lower stress exceeds the risk threshold value, the system determines that the water gate has a safety hidden danger, and an early warning is given; otherwise, no determination is made. A seepage pressure collecting module is responsive to the evaluation and early warning unit, and is used to collect the seepage pressure of the sluice when the system determines that the sluice has a safety hazard, including collecting the seepage pressure of the relevant stress points; and a critical value of the seepage pressure is preset. The relevant stress points include the stress points divided in the lower stress, and the division manner includes dividing the maximum 3-5 stress points in the lower stress, collecting the seepage pressure closest to the maximum 3-5 stress points, the seepage pressure being the seepage pressure within 10 cm from the maximum 3-5 stress points; if the seepage pressure exceeds the critical value, the system determines that the sluice has a risk of seepage, and issues a warning; otherwise, no determination is made.

2. The stress and seepage intelligent monitoring system for the water gate structure of claim 1, wherein, The stress fluctuation frequency is extracted by calculating the standard deviation of the stress at a time interval of 5 to 10 minutes, and is calculated according to the following formula: ; wherein represents the standard deviation of the stress; In the formula, represents the first stress, represents the average value of the stress, which is the concentration tendency of the stress, and the calculation formula is: ； represents the total number of stresses, which is the total number of stresses collected in 5 to 10 minutes; represents the square of the difference of each stress from the average.

3. The stress and seepage intelligent monitoring system for the water gate structure of claim 1, wherein, The seepage velocity is extracted including by calculating the derivative of the seepage flow, calculated according to the following formula: ; wherein, denotes the seepage velocity; In the formula, represents the seepage flow rate, represents time, for obtaining the change of the seepage flow rate with time; represents the seepage flow rate derivative of time , i.e. the rate of change of the seepage flow rate with time.

4. The stress and seepage intelligent monitoring system for the water gate structure of claim 1, wherein, When the system determines that the sluice has no safety hazard, the difference between the stress fluctuation frequency and the seepage velocity of the middle and the bottom end of the sluice is obtained under the condition of the water level height, wherein the stress fluctuation frequency and the seepage velocity of the bottom end are the stress fluctuation frequency and the seepage velocity of the same horizontal line, and at least 5 stress fluctuation frequencies and seepage velocities are obtained at the bottom end, and the average value of the 5 stress fluctuation frequencies and seepage velocities is calculated; if the average value is greater than the stress fluctuation frequency and the seepage velocity of the middle, the system determines that the sluice has a safety hazard, and issues a warning.

5. The stress and seepage intelligent monitoring system for the water gate structure according to claim 4, characterized in that, When the average value is greater than the stress fluctuation frequency and the seepage velocity of the middle, 2-3 maximum stress fluctuation frequencies and seepage velocities are collected from the 5 stress fluctuation frequencies and seepage velocities, and the stress fluctuation frequencies and seepage velocities are sorted in order from small to large, and the dangerous parts of the sluice are divided according to the sorting result.

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