Safety monitoring method and system for flood discharge and sand flushing service gate

Abstract

The invention relates to the technical field of hydraulic engineering safety monitoring, in particular to a safety monitoring method and system for a flood discharge and sand flushing service gate. The method comprises the steps that a super-strong permanent magnet sensor is installed on an underwater flood discharge and sand flushing service gate, and the magnetic attraction strength of the super-strong permanent magnet sensor is controlled according to real-time water flow; when the real-time water flow is larger than the preset water flow high threshold value, the magnetic attraction strength is enhanced; if the water flow is lower than the preset water flow high threshold value, the magnetic attraction strength is recovered to the standard magnetic attraction value; the ultra-strong permanent magnet sensor monitors vibration state data and dynamic stress data of each structure in the operation process of the underwater flood discharge and sand flushing service gate; obtaining a rigidity evaluation value and a dynamic stress safety evaluation value of the underwater flood discharge and sand flushing service gate; and performing evaluation in combination with the characteristic data in the operation process of the underwater flood discharge and sand flushing service gate to obtain the safety coefficient of the current underwater flood discharge and sand flushing service gate. The stability of the gate is dynamically enhanced, the magnetic attraction strength is matched with water flow impact in real time, and high-flow-speed loads are effectively resisted.

Description

Technical Field

[0001] This invention relates to the field of water conservancy project safety monitoring technology, and in particular to a safety monitoring method and system for flood discharge and sand flushing gates. Background Technology

[0002] Flood discharge and sediment flushing gates are critical facilities in water conservancy projects, playing a vital role in regulating reservoir water levels and removing accumulated silt from the reservoir area. These gates operate under harsh conditions of high-speed water flow, high sediment content, and frequent opening and closing, directly impacting the overall operational safety of the water conservancy project. Traditional manual periodic inspection methods are insufficient for real-time monitoring of the gates' condition, leading to the failure to promptly detect potential structural damage.

[0003] Existing technology 1, Chinese patent, patent number: 202510497022.1, discloses a water level monitoring system based on flood discharge gate control, relating to the field of flood discharge gate control technology. It includes an upstream water level monitoring module, a downstream water level monitoring module, a gate discharge monitoring module, an early warning terminal, and a database. By monitoring the water level at the upstream end of the reservoir, it analyzes the future water level coefficient at the upstream end to determine whether the reservoir needs to open the gate for flood discharge and analyzes the corresponding gate opening width for flood discharge. Furthermore, when no flood occurs at the upstream end of the reservoir, it analyzes the corresponding gate opening width at the downstream end of the reservoir under development conditions. Simultaneously, it understands the state of the reservoir gate during flood discharge and analyzes whether adjustments are needed, thereby achieving safe reservoir flood discharge, ensuring ecological security, and achieving efficient and accurate flood discharge, further ensuring effective water source support for surrounding development. Although this achieves rational allocation and efficient utilization of water resources, the sensor's magnetic attraction is weak and the signal is distorted due to the high humidity and high sediment abrasion environment underwater, leading to passive monitoring and post-event detection.

[0004] Prior art two, Chinese patent number 202510987455.5, belongs to the field of dam flood discharge stability monitoring technology, and discloses a method for analyzing the stability of flood control dams. It adaptively divides sections based on deviations in dam height, cross-sectional area, and radius of curvature, ensuring homogeneity in the structural characteristics of each section. Compared to the equidistant division of existing technologies, this method can independently divide high-risk bend sections into monitoring units, improving the accuracy of risk location. It obtains suitable flood discharge rates by matching historical safe flood discharge cases and dynamically corrects them based on upstream flood discharge data and the proportion of silt accumulation cross-sectional area, automatically adjusting the flood discharge rate and controlling the upper limit in conjunction with the gate's flood discharge capacity. While this method can adapt to different inflow conditions and dam conditions, avoiding dam overload due to improper rate control and improving the safety and flexibility of flood discharge scheduling, it does not combine static and dynamic parameters for analysis, making it impossible to determine whether cracks are propagating under vibration, leading to inaccurate crack risk assessment.

[0005] The third prior art, Chinese patent, patent number: 202511120499.4, relates to the field of flood discharge tunnel inspection technology and discloses an automatic inspection and intelligent detection method for corrosion defects in flood discharge tunnels. The system collects and standardizes structural state data inside the flood discharge tunnel; then, it classifies the data according to a preset hydrological condition interval division standard, extracts multimodal sensing features from each interval to generate a condition feature set; it monitors the frequency of hydrological condition interval switching, and activates a dynamic analysis strategy to identify abnormal condition intervals when the frequency exceeds a preset threshold; based on the matching degree between historical erosion stage features and current multimodal sensing features, it performs feature decoupling on the condition feature set of non-abnormal condition intervals to separate the erosion feature subset; based on the coupling correlation between tunnel structural mechanical parameters and hydraulic parameters, it performs parameter collaborative correction on the erosion feature subset; finally, it uses the corrected erosion feature subset to trace the potential defect source area along the defect evolution path, determines the repair priority, and outputs maintenance instructions; however, it can only issue early warnings and track the processing process, but cannot feed the processing results back to the system, resulting in the inability to complete the closed loop of early warning, processing, and verification.

[0006] Current technologies 1, 2, and 3 suffer from weak sensor magnetic attraction, lack of correlation analysis between dynamic and static data, and lack of closed-loop processing mechanisms. Therefore, this invention provides a safety monitoring method and system for flood discharge and sediment flushing gates. Summary of the Invention

[0007] The main objective of this invention is to provide a safety monitoring method and system for flood discharge and sand flushing gates, in order to solve the problem that the existing manual periodic inspection method is difficult to achieve real-time monitoring of the gate status, resulting in the inability to detect potential damage to the gate structure in a timely manner.

[0008] To achieve the above objectives, the present invention provides the following technical solution: A safety monitoring method for flood discharge and sediment flushing gates includes: A high-strength permanent magnet sensor is installed on the underwater flood discharge and sand flushing gate. The magnetic attraction intensity of the high-strength permanent magnet sensor is controlled according to the real-time water flow. When the real-time water flow is greater than the preset high water flow threshold, the magnetic attraction intensity is increased; if it is lower than the preset high water flow threshold, the magnetic attraction intensity is restored to the standard magnetic attraction value. The ultra-strong permanent magnet sensor monitors the vibration state data and dynamic stress data of various structures during the operation of the underwater flood discharge and sand flushing gate; and obtains the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate. The stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate are evaluated in combination with the characteristic data of the underwater flood discharge and sand flushing gate during operation to obtain the current safety factor of the underwater flood discharge and sand flushing gate; the safety factor of the underwater flood discharge and sand flushing gate is then uploaded to the cloud platform.

[0009] As a further improvement of the present invention, the magnetic attraction intensity of the ultra-strong permanent magnet sensor is controlled according to the real-time water flow, including the following steps: Set the water flow threshold and magnetic attraction intensity matching logic, and preset the high water flow threshold; use water flow monitoring equipment to collect flow velocity data; remove instantaneous jump values ​​caused by sediment impact in the flow velocity data and smooth them to obtain the effective flow velocity value; The pre-processed effective flow velocity value is compared with the preset high water flow threshold to obtain the judgment result; the first judgment result is that if the flow velocity of the first preset number of consecutive sampling points is greater than the preset high water flow threshold, the enhanced magnetic attraction signal is triggered; the second judgment result is that if the flow velocity of the second preset number of consecutive sampling points is less than or equal to the high threshold, the standard magnetic attraction signal is triggered; the third judgment result is that if the flow velocity is within the preset threshold area, the current magnetic attraction state is maintained. If the flow rate data exceeds the monitoring range for a preset time, an early warning will be sent immediately to lock the current magnetic attraction intensity; based on the judgment result, a corresponding analog control command will be generated and sent to the magnetic attraction control command.

[0010] As a further improvement of the present invention, obtaining the determination result includes the following steps: The system defines the magnetic attraction state corresponding to a preset high water flow threshold; for flow rates above the preset high water flow threshold, the target magnetic attraction state is enhanced magnetic attraction; for flow rates below the preset high water flow threshold, the target state is standard magnetic attraction; and the system binds the water flow threshold to the magnetic attraction force. Based on the binding results of hydraulic threshold and magnetic attraction force, an over-threshold counter, a below-threshold counter, and a fluctuation zone counter are set up to associate the magnetic attraction target; the effective flow velocity value is processed by comparing the numerical values ​​to the magnetic attraction tendency labeling logic. Among them, the over-threshold counter records the first effective flow velocity value sampling point that continuously exceeds the preset high water flow threshold, and the first effective flow velocity value is associated with the enhanced magnetic attraction; the under-threshold counter records the second effective flow velocity value sampling point that continuously does not exceed the preset high water flow threshold, and the second effective flow velocity value sampling point is associated with the standard magnetic attraction; the fluctuation zone counter records the third effective flow velocity value sampling point that is in the preset sampling area, and is associated with maintaining the current magnetic attraction; Based on the magnetic attraction tendency of all counter cumulative values, a first judgment result, a second judgment result, and a third judgment result are generated; the judgment results are compared and bound with the magnetic attraction target, and the judgment data is uploaded to the cloud platform after each round of judgment is completed.

[0011] As a further improvement of the present invention, generating a first determination result, a second determination result, and a third determination result includes the following steps: Each time a first point appears, the threshold counter automatically increments, and the sampling points of the first effective flow velocity value and the magnetic attraction tendency are recorded simultaneously; when the threshold counter reaches the first pre-designed value, the first judgment result is immediately triggered, and the enhanced magnetic attraction signal is output; thus forming the first judgment result. Each time a second point appears, the counter below the threshold automatically increments, and the sampling points of the second effective flow rate value and the magnetic attraction tendency are recorded simultaneously; when the counter below the threshold reaches the second pre-designed value, the second judgment result is immediately triggered, and a standard magnetic attraction signal is output; thus forming the second judgment result; When the effective flow rate value is within the threshold range, the magnetic attraction tendency is always marked as the position, and the counter threshold verification is not triggered; the current magnetic attraction state is read, and the judgment result of maintaining the current magnetic attraction state is output; a third judgment result is formed.

[0012] As a further improvement of the present invention, the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sediment flushing gate are obtained, including the following steps: Acceleration signals at various points within the stiffness-sensitive zone of the flood discharge and sediment flushing gate are captured, converted into displacement and velocity, and the timestamp, coordinates, displacement, velocity, and acceleration are recorded to form vibration state data; stress signals are collected, converted into actual values, and the timestamp, coordinates, instantaneous stress, and stress change rate are recorded to form dynamic stress data. The vibration state data and dynamic stress data are processed to remove sediment pulse interference and electromagnetic noise, filter valid identifiers, and fill in missing sampling points with backup points; vibration data and dynamic stress data at the same time are correlated based on timestamps. Vibration characteristics are extracted, analyzed and rated to obtain stiffness assessment values; dynamic stress indicators such as maximum dynamic stress, stress amplitude, number of cycles, and equivalent dynamic stress are statistically analyzed and evaluated to obtain dynamic stress safety assessment values.

[0013] As a further improvement of the present invention, the vibration data and dynamic stress data at the same moment are associated based on timestamps, including the following steps: The vibration sensor in the stiffness-sensitive area captures the acceleration signal generated by the vibration of the flood discharge and sand flushing gate in real time and transmits the acceleration signal to the underwater data acquisition terminal. The dynamic stress sensor is synchronized with the vibration sensor. The dynamic stress sensor at the overlapping point of the stiffness sensitive area and the stress concentration area captures the dynamic stress signal generated by the water flow impact and vibration of the flood discharge and sand flushing gate structure; the dynamic stress signal is amplified and transmitted to the underwater data acquisition terminal. The underwater data acquisition terminal removes high-frequency electromagnetic interference from the raw acceleration signal, retains the effective vibration signal of the preset Hertz, and marks abnormal points; it also retains the preset dynamic stress signal from the raw dynamic stress signal and removes the pulse signal generated by the instantaneous impact of mud and sand.

[0014] As a further improvement of the present invention, the stiffness evaluation value is obtained by the following steps: The water flow pulsation pressure and the resonance frequency of the flood discharge and sand flushing gate body during the operation of the flood discharge and sand flushing gate were monitored in a preset cycle, and the actual vibration frequency of the flood discharge and sand flushing gate in each cycle was statistically analyzed. Extract the maximum vertical vibration acceleration and the maximum vibration acceleration in the direction of water flow of each structural component at the time points of opening the flood discharge and sand flushing gate and when the gate body reaches its final position; extract the vertical vibration displacement and the vibration displacement in the direction of water flow of each structural component at the time points of opening the flood discharge and sand flushing gate and when the gate body reaches its final position. The actual vibration frequency of the flood discharge and sediment flushing gate in each monitoring cycle is extracted, processed, and the stiffness assessment value of the flood discharge and sediment flushing gate is obtained; the stiffness assessment value is analyzed to obtain the dynamic stress safety assessment value. Among them, the stiffness assessment value of the flood discharge and sand flushing gate indicates the degree of resistance to deformation of the gate structure under external loads.

[0015] As a further improvement of the present invention, the dynamic stress safety assessment value is obtained, including the following steps: The dynamic stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle are statistically analyzed. The number of times the dynamic stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle exceed the preset dynamic stress safety threshold is also statistically analyzed. These are marked as the number of times the stress overload of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle is recorded. The maximum and minimum stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period were extracted and the difference was processed to obtain the dynamic stress change of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period. The stress overload count of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period and the dynamic stress change of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period are extracted. The dynamic stress change is processed to obtain the dynamic stress safety assessment value of the flood discharge and sand flushing gate. Among them, the dynamic stress safety assessment value of the flood discharge and sand flushing gate represents a quantitative assessment of the degree of stress change of the flood discharge and sand flushing gate during operation.

[0016] As a further improvement to the present invention, the safety factor of the current underwater flood discharge and sediment flushing gate is determined, including the following steps: Extract the stiffness and dynamic stress dimensions from the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sediment flushing gate, and correlate the stiffness and dynamic stress dimensions according to the monitoring points and assessment timestamps; collect the operational characteristic data of the flood discharge and sediment flushing gate; The stiffness assessment values ​​include stiffness values, stiffness attenuation rates, and attenuation ratings at each point, with the weighted average of attenuation rates at all points used as the overall stiffness attenuation index. The dynamic stress safety assessment values ​​include dynamic stress safety margins, risk levels, and corrected dynamic stresses at each point, with the average safety margin of points in the dynamic stress concentration zone used as the core dynamic stress index. The operational characteristic data of the flood discharge and sand flushing gates include static and dynamic characteristics. Static characteristics include years of operation, historical maintenance frequency, and time since the last major overhaul. Dynamic characteristics include current flow velocity, actual magnetic attraction strength, flood discharge and sand flushing gate opening, and cumulative duration. The stiffness dimension is analyzed, the attenuation rating is adjusted, and a stiffness safety sub-coefficient is obtained; the dynamic stress dimension is analyzed, the risk level is corrected, and a dynamic stress safety sub-coefficient is obtained; the static characteristics are quantified, and the dynamic data are fused to obtain a comprehensive correction coefficient. The stiffness safety factor, dynamic stress safety factor, and comprehensive correction factor are weighted and fused to obtain the current safety factor of the flood discharge and sediment flushing gate; a current gate safety factor report is generated based on the current flood discharge and sediment flushing gate safety factor and uploaded to the cloud platform; The safety levels of the flood discharge and sand flushing gates are as follows: Level 1 Safety, which is a normal state and is indicated by a green indicator; Level 2 Safety, which is a state of concern and is indicated by a yellow indicator; Level 3 Warning, which is a state of restriction and is indicated by an orange warning; and Level 4 Danger, which is a state of shutdown and is indicated by a red warning.

[0017] To achieve the above objectives, the present invention also provides the following technical solution: A safety monitoring system for a flood discharge and sediment flushing gate includes: The magnetic attraction monitoring module is used to install ultra-strong permanent magnet sensors on underwater flood discharge and sand flushing gates. The magnetic attraction intensity of the ultra-strong permanent magnet sensors is controlled according to the real-time water flow. When the real-time water flow is greater than the preset high water flow threshold, the magnetic attraction intensity is increased; if it is lower than the preset high water flow threshold, the magnetic attraction intensity is restored to the standard magnetic attraction value. The stiffness and dynamic stress assessment module is used by the ultra-strong permanent magnet sensor to monitor the vibration state data and dynamic stress data of each structure during the operation of the underwater flood discharge and sand flushing gate; and obtains the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate. The safety factor assessment module is used to evaluate the stiffness and dynamic stress safety of the underwater flood discharge and sand flushing gate, and to assess the current safety factor of the underwater flood discharge and sand flushing gate by combining the characteristic data of the underwater flood discharge and sand flushing gate during operation. The safety factor of the underwater flood discharge and sand flushing gate is then uploaded to the cloud platform.

[0018] This invention achieves dynamic enhancement of gate stability, with magnetic attraction strength adapting in real time to water flow impact, effectively resisting high flow velocity loads; accurately grasps the structural health status, with multi-dimensional monitoring avoiding the limitations of single indicators, comprehensively reflecting stiffness decay and stress risks; scientifically quantifies safety levels, clearly defines safety factors and corresponding risk levels, and intuitively presents the operating status; supports precise operation and maintenance decisions, with early warning information and historical trends providing a basis for maintenance, reducing the probability of failure, and ensuring the safety of flood discharge and sand flushing operations. Attached Figure Description

[0019] Figure 1 This is a schematic flowchart illustrating the steps of an embodiment of the safety monitoring method for flood discharge and sand flushing gates of the present invention. Figure 2 This is a schematic diagram of the steps for controlling the magnetic attraction strength of a super-strong permanent magnet sensor in real time, according to an embodiment of the safety monitoring method for flood discharge and sand flushing gates of the present invention. Figure 3 This is a schematic diagram illustrating the steps of obtaining the stiffness assessment value and dynamic stress safety assessment value of an underwater flood discharge and sand flushing gate, as an embodiment of the safety monitoring method for the flood discharge and sand flushing gate of the present invention. Figure 4 This is a schematic diagram illustrating the steps involved in obtaining the safety factor of an underwater flood discharge and sand flushing gate, as described in an embodiment of the safety monitoring method for the flood discharge and sand flushing gate of the present invention. Figure 5 This is a schematic diagram of the functional modules of a safety monitoring system for the flood discharge and sand flushing gate of the present invention; Figure 6 This is a schematic diagram of the structure of an embodiment of the electronic device of the present invention; Figure 7 This is a schematic diagram of the structure of a storage medium according to an embodiment of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0021] The terms "first," "second," and "third" used in this invention are for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified. All directional indications (such as up, down, left, right, front, back, etc.) in the embodiments of this invention are only used to explain the relative positional relationships and movements between components in a specific orientation (as shown in the accompanying drawings). If the specific orientation changes, the directional indications also change accordingly. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0022] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0023] like Figure 1 As shown, this embodiment provides an example of a safety monitoring method for a flood discharge and sediment flushing gate. In this embodiment, the safety monitoring method for the flood discharge and sediment flushing gate specifically includes the following steps: Step S1: Install a high-strength permanent magnet sensor on the underwater flood discharge and sand flushing gate, and control the magnetic attraction intensity of the high-strength permanent magnet sensor according to the real-time water flow; when the real-time water flow is greater than the preset high water flow threshold, the magnetic attraction intensity is increased; if it is lower than the preset high water flow threshold, the magnetic attraction intensity is restored to the standard magnetic attraction value. Step S2: The ultra-strong permanent magnet sensor monitors the vibration status data and dynamic stress data of each structure during the operation of the underwater flood discharge and sand flushing gate; and obtains the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate. Step S3: Evaluate the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate, combined with the characteristic data of the underwater flood discharge and sand flushing gate during operation, to obtain the current safety factor of the underwater flood discharge and sand flushing gate; upload the safety factor of the underwater flood discharge and sand flushing gate to the cloud platform.

[0024] Preferably, this embodiment features integrated sensing and control, employing a high-strength permanent magnet sensor to achieve dual functions: acting as an actuator to adjust magnetic attraction strength according to real-time water flow, and acting as a monitoring element to capture gate vibration and dynamic stress data; dynamic linkage response, with a high-threshold trigger mechanism for water flow, enhancing magnetic attraction when exceeding the threshold and restoring the standard value when below the threshold; multi-dimensional state assessment, accurately generating core assessment indicators such as stiffness attenuation rate and dynamic stress safety margin by collecting vibration displacement, velocity, acceleration, and dynamic stress data through sensors; and multi-source data fusion and quantification, integrating stiffness and dynamic stress assessment data with characteristic data such as service life and magnetic attraction adaptability, and converting the structural state into a quantifiable safety factor through weighted fusion and dual verification. It achieves dynamic enhancement of gate stability, with magnetic attraction strength adapting in real time to water flow impact, effectively resisting high flow velocity loads; it accurately grasps the structural health status, with multi-dimensional monitoring avoiding the limitations of single indicators, comprehensively reflecting stiffness decay and stress risks; it scientifically quantifies safety levels, clearly defines safety factors and corresponding risk levels, and intuitively presents the operating status; it supports precise operation and maintenance decisions, with early warning information and historical trends providing a basis for maintenance, reducing the probability of failure, and ensuring the safety of flood discharge and sand flushing operations.

[0025] Furthermore, such as Figure 2 As shown, the process of controlling the magnetic attraction intensity of the ultra-strong permanent magnet sensor according to the real-time water flow in step S1 specifically includes the following steps: Step S11: Set the water flow threshold and magnetic attraction intensity matching logic, and preset the high water flow threshold; use water flow monitoring equipment to collect flow velocity data; remove the instantaneous jump values ​​caused by sediment impact in the flow velocity data and perform smoothing to obtain the effective flow velocity value; Step S12: Compare the pre-processed effective flow velocity value with the preset high water flow threshold to obtain the judgment result; First judgment result: if the flow velocity of a first preset number of consecutive sampling points is greater than the preset high water flow threshold, then the enhanced magnetic attraction signal is triggered; Second judgment result: if the flow velocity of a second preset number of consecutive sampling points is less than or equal to the high threshold, then the standard magnetic attraction signal is triggered; Third judgment result: if the flow velocity is within the preset threshold range, then the current magnetic attraction state is maintained. Step S13: When the flow rate data continues to exceed the monitoring range for a preset time, an early warning is immediately sent and the current magnetic attraction intensity is locked; based on the judgment result, a corresponding analog control command is generated and sent to the magnetic attraction control command.

[0026] Preferably, in this embodiment, threshold preset and data purification work together. First, a high threshold for water flow and magnetic attraction matching logic are preset based on the gate's impact resistance capability. Then, a targeted algorithm is used to remove instantaneous jump values ​​caused by sediment impact in the flow velocity data. After smoothing, an effective flow velocity value is generated, achieving anti-interference preprocessing of the original data. A dynamic multi-condition judgment mechanism verifies the stability of the water flow state through a first and second preset number of continuous sampling points, sets a threshold fluctuation range to avoid frequent switching of magnetic attraction, and improves the accuracy of judgment. Anomaly emergency and control closed-loop linkage is implemented. When the flow velocity exceeds the monitoring range, an early warning is immediately issued and the magnetic attraction intensity is locked. Based on the judgment result, an analog control command is generated and sent to the execution unit, forming a complete control link. Effective filtration of sediment interference significantly improves the accuracy of pre-processed data, providing reliable input for judgment logic; continuous verification and interval buffering reduce mis-control caused by single data fluctuations, and the magnetic attraction intensity switching response is more in line with the actual water flow state, reducing equipment wear; abnormal early warning and state locking mechanisms avoid the risk of gate instability under fault conditions, and command closed loop ensures that control actions are implemented quickly, ultimately achieving precise matching between water flow and magnetic attraction intensity, and enhancing the stability of gate operation.

[0027] Furthermore, the process of obtaining the determination result in step S12 specifically includes the following steps: Step S121: Preset the magnetic attraction state corresponding to the high threshold of water flow; preset the flow rate above the high threshold of water flow, the target magnetic attraction state is enhanced magnetic attraction; preset the flow rate below the high threshold of water flow, the target state is standard magnetic attraction; bind the water flow threshold with the magnetic attraction force; Step S122: Based on the binding results of hydraulic threshold and magnetic attraction force, set up over-threshold counters, below-threshold counters, and fluctuation zone counters for associated magnetic attraction targets; process the effective flow velocity values ​​by comparing them to the magnetic attraction tendency labeling logic. Among them, the over-threshold counter records the first effective flow velocity value sampling point that continuously exceeds the preset high water flow threshold, and the first effective flow velocity value is associated with the enhanced magnetic attraction; the under-threshold counter records the second effective flow velocity value sampling point that continuously does not exceed the preset high water flow threshold, and the second effective flow velocity value sampling point is associated with the standard magnetic attraction; the fluctuation zone counter records the third effective flow velocity value sampling point that is in the preset sampling area, and is associated with maintaining the current magnetic attraction; Step S123: Based on the cumulative value of all counters, generate a first judgment result, a second judgment result, and a third judgment result; bind the judgment results with the magnetic target, and upload the judgment data to the cloud platform after each round of judgment is completed.

[0028] Preferably, in this embodiment, the threshold and magnetic attraction state are precisely bound, clearly defining the target magnetic attraction state above and below the preset high threshold of water flow, establishing a fixed correlation between the water flow threshold and the magnetic attraction force, and providing a clear benchmark for subsequent judgment. A target-oriented counting and tendency labeling mechanism is implemented, setting up three types of counters respectively associated with enhanced magnetic attraction, standard magnetic attraction, and maintenance state, achieving precise correlation counting between sampling points and magnetic attraction targets. Three types of judgment results are generated based on the magnetic attraction tendency and the cumulative value of the counters, and the results are bound to the magnetic attraction target. Judgment data is simultaneously uploaded to the cloud platform, forming a traceable judgment chain. The binding setting of the threshold and magnetic attraction avoids ambiguity in the control target, ensuring that the judgment direction is consistent with the gate's stability requirements. The combination of the three types of counters and tendency labeling effectively filters out interference from instantaneous fluctuations in flow velocity, reducing the risk of false triggering at a single sampling point. The counting verification mechanism ensures that the judgment results closely match the actual stable state of the water flow, avoiding equipment wear caused by frequent switching of magnetic attraction. The traceable process of judgment data upload provides data support for subsequent threshold optimization and logic iteration, ultimately improving the accuracy of the adaptation between water flow and magnetic attraction states and enhancing the stability of gate operation.

[0029] Furthermore, the process of comparing numerical values ​​to the magnetic attraction tendency labeling logic in step S122 specifically includes the following steps: Step S1221: If the effective flow velocity value is greater than the preset high water flow threshold, it is determined as the first point and the magnetic attraction tendency is marked as enhanced; the over-threshold counter is incremented by one, and the under-threshold counter and the fluctuation zone counter are reset to zero; Step S1222: If the effective flow velocity value is not greater than the preset high water flow threshold, it is determined as the second point, and the magnetic attraction tendency is marked as the standard. If it is lower than the threshold, the counter is incremented by one, and if it exceeds the threshold, the counter and the fluctuation zone counter are reset to zero. Step S1223: If the effective water flow value is within the preset high water flow threshold area, it is determined as the third point, the magnetic attraction tendency is marked as maintained, the fluctuation zone counter is incremented by one, and the over-threshold counter and the under-threshold counter are reset to zero; if the effective flow velocity value is zero, the current magnetic attraction tendency is retained.

[0030] Preferably, in this embodiment, the hierarchical point determination and magnetic attraction tendency are precisely bound. Based on the relationship between the effective flow velocity value and a preset threshold, three types of points are clearly defined: first point exceeding the threshold, second point below the threshold, and third point within the threshold range. Each type of point is bound to an enhanced, standard, or maintained magnetic attraction tendency. Simultaneously, for the special case where the effective flow velocity value is zero, a fault-tolerant rule is set to retain the current tendency. Target-oriented counter dynamic control associates the three types of points with counters for exceeding the threshold, below the threshold, and fluctuation zones, respectively. A linkage logic of "accumulating the corresponding counter + resetting the remaining counters" is adopted to ensure that the count only reflects the continuous state of a single tendency, avoiding interference from multiple states. The judgment logic covers all scenarios, including hierarchical processing of normal flow velocity ranges and emergency responses to invalid data scenarios, forming a closed-loop judgment rule. Hierarchical determination and tendency binding achieve precise mapping between flow velocity state and magnetic attraction demand, avoiding control deviations caused by ambiguous judgments. Dynamic counter control effectively filters instantaneous flow velocity fluctuations, recording only continuous and stable state changes, significantly reducing the risk of mis-control caused by a single abnormal point. The fault-tolerant mechanism ensures system stability when data is abnormal, preventing counting chaos. The synergy of these three elements makes the magnetic attraction tendency labeling and counting more closely reflect the actual state of water flow, providing a reliable basis for subsequent judgment results, reducing equipment wear caused by frequent magnetic attraction switching, and improving the stability and control accuracy of gate operation.

[0031] Furthermore, the process of generating the first determination result, the second determination result, and the third determination result in step S123 specifically includes the following steps: Step S1231: For each first point, the threshold counter automatically increments, and the sampling points of the first effective flow velocity value and magnetic attraction tendency are recorded synchronously; when the threshold counter reaches the first pre-designed value, the first judgment result is immediately triggered, and the enhanced magnetic attraction signal is output; thus forming the first judgment result; Step S1232: For each second point that appears, the counter below the threshold automatically increments, and the sampling points of the second effective flow rate value and the magnetic attraction tendency are recorded simultaneously; when the counter below the threshold reaches the second pre-designed value, the second judgment result is immediately triggered, and a standard magnetic attraction signal is output; thus forming the second judgment result; Step S1233: When the effective flow rate value is in the threshold region, the magnetic attraction tendency is always marked as the position, and the counter threshold verification is not triggered; the current magnetic attraction state is read, and the judgment result of maintaining the current magnetic attraction state is output; a third judgment result is formed.

[0032] Preferably, this embodiment employs a continuous verification triggering mechanism, setting counter accumulation rules for the first point exceeding the threshold and the second point below the threshold. A judgment result is triggered only when the counter reaches the corresponding pre-designed value. Differentiated judgment logic uses a count-based triggering mode for both threshold and below-threshold points, simultaneously recording flow velocity sampling points and magnetic attraction tendency. Within the threshold region, a "direct read state" mode is used, without counter verification, always outputting a result that maintains the current state, forming a judgment system adaptable to multiple scenarios. Full-process data traceability ensures that each counter accumulation step synchronously records associated data, and the judgment result is immediately associated with the corresponding magnetic attraction signal after generation, ensuring traceability of the judgment process. The continuous verification mechanism effectively filters out instantaneous flow velocity fluctuations, avoiding mis-control caused by a single abnormal point, and significantly reducing equipment wear caused by frequent switching of magnetic attraction intensity. Differentiated logic accurately adapts to both stable and fluctuating water flow states, and the design of maintaining the state in the fluctuating zone further enhances system operational stability. Full-process data traceability provides a reliable basis for subsequent threshold optimization and logic iteration, ensuring that the judgment result highly matches the actual stable state of the water flow, ultimately improving the accuracy of magnetic attraction control and the safety of gate operation.

[0033] Furthermore, such as Figure 3 As shown, the process of obtaining the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sediment flushing gate in step S2 specifically includes the following steps: Step S21: Capture the acceleration signals at various points within the stiffness-sensitive zone of the flood discharge and sand flushing gate, convert them into displacement and velocity, and record the timestamp, coordinates, displacement, velocity, and acceleration to form vibration state data; collect stress signals, convert the stress signals into actual values, and record the timestamp, coordinates, instantaneous stress, and stress change rate to form dynamic stress data. Step S22: Remove sediment pulse interference and electromagnetic noise from the vibration state data and dynamic stress data, filter valid identifiers, and fill in missing sampling points with backup points; associate vibration data and dynamic stress data at the same time based on timestamps; Step S23: Extract vibration characteristics, analyze and rate the vibration characteristics to obtain stiffness assessment value; statistically analyze dynamic stress indicators such as maximum dynamic stress, stress amplitude, number of cycles and equivalent dynamic stress, evaluate the dynamic stress indicators, and obtain dynamic stress safety assessment value.

[0034] Preferably, this embodiment employs multi-dimensional dynamic sensing, capturing acceleration signals in stiffness-sensitive areas and converting them into displacement and velocity, simultaneously converting stress signals into actual values, and synchronously recording key information such as timestamps and coordinates to form a multi-parameter dataset containing vibration state and dynamic stress, thus achieving comprehensive capture of structural response; refined data preprocessing specifically removes sediment pulse interference and electromagnetic noise, supplements missing sampling points with backup locations, and correlates vibration and dynamic stress data based on timestamps to ensure data cleanliness and spatiotemporal consistency; feature-driven quantitative assessment extracts key features from vibration data and analyzes and rates them to obtain stiffness ratings. The system estimates and calculates dynamic stress safety assessment values ​​by statistically analyzing indicators such as maximum dynamic stress and stress amplitude, thus achieving a quantitative characterization of the structural state. Multi-dimensional sensing covers key stress areas of the gate, comprehensively reflecting the dynamic response of the structure and avoiding the limitations of single parameters. Preprocessing improves data quality; data accuracy is significantly improved after removing interference, and completion and correlation ensure the integrity of the analysis. Feature extraction and quantitative assessment transform complex structural states into intuitive assessment values, providing reliable input for subsequent safety factor calculations, accurately identifying stiffness attenuation and stress risks, providing a scientific basis for gate health monitoring and operation and maintenance decisions, and effectively reducing the probability of operational failures.

[0035] Furthermore, the process of associating vibration data and dynamic stress data at the same time based on timestamps in step S22 specifically includes the following steps: Step S221: The vibration sensor in the stiffness-sensitive area captures the acceleration signal generated by the vibration of the flood discharge and sand flushing gate in real time, and transmits the acceleration signal to the underwater data acquisition terminal. Step S222: The dynamic stress sensor and the vibration sensor are synchronized. The dynamic stress sensor at the overlapping point of the stiffness sensitive area and the stress concentration area captures the dynamic stress signal generated by the water flow impact and vibration of the flood discharge and sand flushing gate structure; the dynamic stress signal is amplified and transmitted to the underwater data acquisition terminal. Step S223: The underwater data acquisition terminal removes high-frequency electromagnetic interference from the original acceleration signal, retains the effective vibration signal of the preset Hertz, and marks abnormal points; and retains the preset dynamic stress signal from the original dynamic stress signal, while removing the pulse signal generated by the instantaneous impact of mud and sand.

[0036] Preferably, this embodiment employs synchronized multi-source acquisition, with vibration sensors and dynamic stress sensors working collaboratively to simultaneously capture acceleration signals in stiffness-sensitive areas and dynamic stress signals in stress concentration areas, ensuring consistency of the two types of data in the time dimension. Precise zoned monitoring involves differentiated sensor deployment for stiffness-sensitive and stress concentration areas. Vibration monitoring focuses on structural vibration response, while dynamic stress monitoring targets stress changes induced by water flow impact and vibration, forming a sensing network covering key areas. Targeted signal purification involves high-frequency filtering of acceleration signals to remove electromagnetic interference, retaining effective vibration signals in preset frequency bands; and targeted removal of pulse interference from instantaneous sediment impacts from dynamic stress signals, simultaneously marking abnormal data points for categorized noise reduction. Synchronous acquisition ensures the spatiotemporal matching of vibration and dynamic stress data, laying the foundation for subsequent correlation analysis; zoned monitoring accurately captures the dynamic response of key structural components, avoiding monitoring blind spots; targeted purification effectively filters out interference sources such as electromagnetic noise and sediment impacts, significantly improving the signal-to-noise ratio of the original signal; and anomaly marking facilitates rapid identification of data quality issues. The collaboration of these three factors ensures that the vibration and dynamic stress data entering subsequent analysis accurately reflects the structural state, providing reliable input for the precise calculation of stiffness assessment values ​​and dynamic stress safety assessment values, and improving the accuracy and effectiveness of gate structure health monitoring.

[0037] Furthermore, the process of obtaining the stiffness assessment value in step S23 specifically includes the following steps: Step S231: Monitor the water flow pulsation pressure and the resonance frequency of the flood discharge and sand flushing gate during the operation of the flood discharge and sand flushing gate in a preset cycle, and count the actual vibration frequency of the flood discharge and sand flushing gate in each cycle. Step S232: Extract the maximum vertical vibration acceleration and the maximum vibration acceleration in the water flow direction of each structural component at the time points of opening the flood discharge and sand flushing gate and the time point of the gate body reaching the end; extract the vertical vibration displacement and the water flow direction vibration displacement of each structural component at the time point of opening the flood discharge and sand flushing gate and the time point of the gate body reaching the end. Step S233: Extract the actual vibration frequency of the flood discharge and sand flushing gate in each monitoring cycle, process it, and obtain the stiffness assessment value of the flood discharge and sand flushing gate; analyze the stiffness assessment value to obtain the dynamic stress safety assessment value. Among them, the stiffness assessment value of the flood discharge and sand flushing gate indicates the degree of resistance to deformation of the gate structure under external loads.

[0038] Preferably, this embodiment employs periodic multi-parameter collaborative monitoring, using a preset cycle to simultaneously monitor water flow pulsation pressure and gate resonance frequency, and statistically analyze the actual vibration frequency. Process-targeted dynamic feature extraction focuses on the critical operational stage from gate opening to gate positioning, accurately extracting core dynamic parameters such as maximum vertical and water flow direction vibration acceleration and displacement, and targeting the peak values ​​of structural stress response. Frequency-driven evaluation logic uses the actual vibration frequency as the core processing object to generate stiffness evaluation values, and then derives dynamic stress safety evaluation values ​​through stiffness analysis. Periodic monitoring avoids the limitations of instantaneous data, comprehensively capturing the gate vibration patterns and water flow load correlation characteristics at different times. Key stage feature extraction accurately identifies the response data during the period of most severe structural stress and highest deformation risk, reducing redundant information interference. The frequency-driven evaluation logic establishes stiffness and dynamic stress evaluations based on physical mechanisms; stiffness values ​​intuitively reflect the structure's resistance to deformation, and dynamic stress safety evaluation values ​​accurately map stress risk. These three elements synergistically enhance the relevance and accuracy of structural condition assessment, providing a reliable basis for identifying potential hazards such as gate stiffness attenuation and stress concentration, thus strengthening operational safety assurance.

[0039] Furthermore, the process of obtaining the dynamic stress safety assessment value in step S233 specifically includes the following steps: Step S2331: Calculate the dynamic stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle, and count the number of times the dynamic stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle are higher than the preset dynamic stress safety threshold; mark these as the number of times the stress overload of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle. Step S2332: Extract the maximum and minimum stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period, and perform difference processing to obtain the dynamic stress change of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period. Step S2333: Extract the stress overload times of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period, as well as the dynamic stress change of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period. Process the dynamic stress change to obtain the dynamic stress safety assessment value of the flood discharge and sand flushing gate. Among them, the dynamic stress safety assessment value of the flood discharge and sand flushing gate represents a quantitative assessment of the degree of stress change of the flood discharge and sand flushing gate during operation.

[0040] Preferably, this implementation employs multi-dimensional stress parameter targeted extraction, focusing on each structural component of the gate and simultaneously statistically analyzing the number of stress overloads and the amount of dynamic stress change. Periodic statistical analysis, conducted on a preset monitoring cycle, ensures that stress parameters reflect the structural stress patterns at different times, avoiding the bias of instantaneous data. A quantitative assessment logic is integrated, comprehensively processing the number of stress overloads and the amount of dynamic stress change to transform complex dynamic stress changes into quantifiable dynamic stress safety assessment values, providing an intuitive representation of the degree of stress change. Dual-dimensional parameter extraction comprehensively covers the risk of stress exceeding limits and the intensity of fluctuations, avoiding misjudgments of the structural stress state based on a single indicator. Periodic statistics accurately capture the trend of stress changes over operating time, helping to identify potential fatigue damage accumulation. The integrated quantitative assessment transforms the degree of stress change from an abstract concept into a concrete indicator, facilitating an intuitive assessment of the structural stress safety level. These three aspects synergistically enhance the comprehensiveness and accuracy of dynamic stress assessment, providing data support for predicting the fatigue life of the gate structure and identifying potential hazards, effectively reducing the risk of structural damage caused by abnormal stress, and ensuring the safety of flood discharge and sand flushing operations.

[0041] Furthermore, such as Figure 4 As shown, step S3, which involves determining the safety factor of the current underwater flood discharge and sediment flushing gate, specifically includes the following steps: Step S31: Extract the stiffness dimension and dynamic stress dimension from the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate, and associate the stiffness dimension and dynamic stress dimension according to the monitoring point and assessment timestamp; collect the operating characteristic data of the flood discharge and sand flushing gate. The stiffness assessment values ​​include stiffness values, stiffness attenuation rates, and attenuation ratings at each point, with the weighted average of attenuation rates at all points used as the overall stiffness attenuation index. The dynamic stress safety assessment values ​​include dynamic stress safety margins, risk levels, and corrected dynamic stresses at each point, with the average safety margin of points in the dynamic stress concentration zone used as the core dynamic stress index. The operational characteristic data of the flood discharge and sand flushing gates include static and dynamic characteristics. Static characteristics include years of operation, historical maintenance frequency, and time since the last major overhaul. Dynamic characteristics include current flow velocity, actual magnetic attraction strength, flood discharge and sand flushing gate opening, and cumulative duration. Step S32: Analyze the stiffness dimension, adjust the attenuation rating, and obtain the stiffness safety sub-coefficient; analyze the dynamic stress dimension, correct the risk level, and obtain the dynamic stress safety sub-coefficient; quantify the static characteristics, fuse the dynamic data, and obtain the comprehensive correction coefficient. Step S33: Weight and fuse the stiffness safety sub-factor, dynamic stress safety sub-factor, and comprehensive correction factor to obtain the current safety factor of the flood discharge and sediment flushing gate; generate a current gate safety factor report based on the current flood discharge and sediment flushing gate safety factor and upload it to the cloud platform; The safety levels of the flood discharge and sand flushing gates are as follows: Level 1 Safety, which is a normal state and is indicated by a green indicator; Level 2 Safety, which is a state of concern and is indicated by a yellow indicator; Level 3 Warning, which is a state of restriction and is indicated by an orange warning; and Level 4 Danger, which is a state of shutdown and is indicated by a red warning.

[0042] Preferably, this embodiment features precise multi-source data correlation and indicator extraction, focusing on the core dimensions of stiffness and dynamic stress. Data is correlated by monitoring points and timestamps, and overall stiffness attenuation indicators and core dynamic stress indicators are extracted through weighted averaging and mean calculation. Static and dynamic operational characteristics are collected simultaneously to construct a multi-dimensional assessment dataset. Layered quantification of sub-coefficients is used: stiffness safety sub-coefficients are derived by adjusting the attenuation rating for the stiffness dimension; dynamic stress safety sub-coefficients are generated by correcting the dynamic stress dimension based on risk levels; and a comprehensive correction coefficient is obtained by quantifying and fusing operational characteristics, achieving precise conversion across assessment dimensions. Fusion assessment and graded early warning are implemented by weighted fusion of the three types of coefficients to generate safety coefficients, classifying states according to a four-level standard and matching color-coded labels. Multi-source data correlation and indicator extraction avoid the limitations of single parameters, ensuring comprehensive and reliable assessment input; layered quantification calculation weakens subjective interference and improves the accuracy of assessments across dimensions; weighted fusion and graded early warning transform complex structural states into intuitive safety coefficients and color-coded signals, allowing maintenance personnel to quickly identify the gate's normal, monitored, restricted, and shut-down status. The three elements work together to achieve a scientific quantification and visualization of the gate's safety status, providing data support for precise operation and maintenance, effectively reducing the risk of failure, and ensuring the safe and stable operation of flood discharge and sand flushing.

[0043] like Figure 5 As shown, this embodiment also provides an embodiment of a safety monitoring system for a flood discharge and sediment flushing gate. In this embodiment, the safety monitoring system for the flood discharge and sediment flushing gate is applied to the safety monitoring method for the flood discharge and sediment flushing gate as described in the above embodiment. The safety monitoring system for the flood discharge and sediment flushing gate includes: The magnetic attraction monitoring module 1 is used to install a super-strong permanent magnet sensor on the underwater flood discharge and sand flushing gate. The magnetic attraction intensity of the super-strong permanent magnet sensor is controlled according to the real-time water flow. When the real-time water flow is greater than the preset high water flow threshold, the magnetic attraction intensity is increased; if it is lower than the preset high water flow threshold, the magnetic attraction intensity is restored to the standard magnetic attraction value. Stiffness and dynamic stress assessment module 2 is used by the ultra-strong permanent magnet sensor to monitor the vibration state data and dynamic stress data of each structure during the operation of the underwater flood discharge and sand flushing gate; and to obtain the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate. The safety factor assessment module 3 is used to assess the stiffness and dynamic stress safety of the underwater flood discharge and sand flushing gate, and to evaluate it in combination with the characteristic data of the underwater flood discharge and sand flushing gate during operation, so as to obtain the current safety factor of the underwater flood discharge and sand flushing gate; and to upload the safety factor of the underwater flood discharge and sand flushing gate to the cloud platform.

[0044] Preferably, this embodiment integrates sensing and control. The magnetic attraction monitoring module integrates a high-strength permanent magnet sensor, combining dynamic control of magnetic attraction intensity with structural status monitoring. A hierarchical quantitative evaluation system is implemented. The stiffness and dynamic stress evaluation module monitors vibration and dynamic stress data, converting structural response into quantifiable stiffness and dynamic stress safety evaluation values. The safety factor evaluation module further integrates these two evaluation values ​​with operational characteristic data to generate a comprehensive safety factor. A closed-loop linkage mechanism ensures vertical data transmission and horizontal correlation between modules, from water flow sensing to magnetic attraction control, and then to structural status evaluation and safety factor output. Data is ultimately uploaded and visualized via a cloud platform. The integrated design reduces equipment redundancy and improves system integration. Dynamic magnetic attraction control enables the gate's resistance to water flow impact to adapt and enhance operational stability. Hierarchical quantitative evaluation overcomes the limitations of traditional qualitative judgment, accurately reflecting stiffness decay and stress risk. Closed-loop linkage and cloud upload enable full-process status traceability, providing data support for operation and maintenance, effectively reducing structural fatigue and failure probability, and ensuring safe and efficient flood discharge and sediment flushing operations.

[0045] like Figure 6 As shown, this embodiment provides an embodiment of an electronic device 4, which includes a processor 41 and a memory 42 coupled to the processor 41.

[0046] The memory 42 stores program instructions for implementing the safety monitoring method of the flood discharge and sand flushing working gate in any of the above embodiments.

[0047] The processor 41 is used to execute program instructions stored in the memory 42 for safety monitoring of the flood discharge and sand flushing gate.

[0048] The processor 81 can also be referred to as a CPU (Central Processing Unit). The processor 41 may be an integrated circuit chip with signal processing capabilities. The processor 41 can also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. A general-purpose processor can be a microprocessor or any conventional processor.

[0049] Furthermore, Figure 7This is a schematic diagram of the structure of a storage medium according to an embodiment of this application. The storage medium 5 of this embodiment stores program instructions 51 capable of implementing all the methods described above. These program instructions 51 can be stored in the storage medium in the form of a software product, including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, or terminal devices such as computers, servers, mobile phones, and tablets.

[0050] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0051] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated units described above can be implemented in hardware or as software functional units. The above are merely embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

[0052] The specific embodiments of the invention have been described in detail above, but these are merely examples, and the invention is not limited to the specific embodiments described above. For those skilled in the art, any equivalent modifications or substitutions to the invention are also within the scope of this invention. Therefore, all equivalent transformations, modifications, and improvements made without departing from the spirit and principles of this invention should be included within the scope of this invention.

Claims

1. A safety monitoring method for flood discharge and sediment flushing gates, characterized in that, The safety monitoring method for the flood discharge and sediment flushing gate includes: A high-strength permanent magnet sensor is installed on the underwater flood discharge and sand flushing gate. The magnetic attraction strength of the high-strength permanent magnet sensor is controlled according to the real-time water flow. When the real-time water flow is greater than the preset high water flow threshold, the magnetic attraction strength is increased; if it is lower than the preset high water flow threshold, the magnetic attraction strength is restored to the standard magnetic attraction value. The ultra-strong permanent magnet sensor monitors the vibration state data and dynamic stress data of various structures during the operation of the underwater flood discharge and sand flushing gate; and obtains the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate. The stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate are evaluated in combination with the characteristic data of the underwater flood discharge and sand flushing gate during operation to obtain the current safety factor of the underwater flood discharge and sand flushing gate; the safety factor of the underwater flood discharge and sand flushing gate is then uploaded to the cloud platform.

2. The safety monitoring method for the flood discharge and sediment flushing gate according to claim 1, characterized in that, The magnetic attraction strength of the ultra-strong permanent magnet sensor is controlled based on real-time water flow, including the following steps: Set the water flow threshold and magnetic attraction intensity matching logic, and preset the high water flow threshold; use water flow monitoring equipment to collect flow velocity data; remove instantaneous jump values ​​caused by sediment impact in the flow velocity data and smooth them to obtain the effective flow velocity value; The pre-processed effective flow velocity value is compared with the preset high water flow threshold to obtain the judgment result; the first judgment result is that if the flow velocity of the first preset number of consecutive sampling points is greater than the preset high water flow threshold, the enhanced magnetic attraction signal is triggered; the second judgment result is that if the flow velocity of the second preset number of consecutive sampling points is less than or equal to the high threshold, the standard magnetic attraction signal is triggered; the third judgment result is that if the flow velocity is within the preset threshold area, the current magnetic attraction state is maintained. If the flow rate data continues to exceed the monitoring range for a preset time, an early warning will be sent immediately to lock the current magnetic attraction intensity; based on the judgment result, a corresponding analog control command will be generated and sent to the magnetic attraction control command.

3. The safety monitoring method for the flood discharge and sand flushing gate according to claim 2, characterized in that, To obtain the determination result, the following steps are included: The system defines the magnetic attraction state corresponding to a preset high water flow threshold; for flow rates above the preset high water flow threshold, the target magnetic attraction state is enhanced magnetic attraction; for flow rates below the preset high water flow threshold, the target state is standard magnetic attraction; and the system binds the water flow threshold to the magnetic attraction force. Based on the binding results of hydraulic threshold and magnetic attraction force, an over-threshold counter, a below-threshold counter, and a fluctuation zone counter are set up to associate the magnetic attraction target; the effective flow velocity value is processed by comparing the numerical values ​​to the magnetic attraction tendency labeling logic. Among them, the over-threshold counter records the first effective flow velocity value sampling point that continuously exceeds the preset high water flow threshold, and the first effective flow velocity value is associated with the enhanced magnetic attraction; the under-threshold counter records the second effective flow velocity value sampling point that continuously does not exceed the preset high water flow threshold, and the second effective flow velocity value sampling point is associated with the standard magnetic attraction; the fluctuation zone counter records the third effective flow velocity value sampling point that is in the preset sampling area, and is associated with maintaining the current magnetic attraction; Based on the magnetic attraction tendency of all counter cumulative values, a first judgment result, a second judgment result, and a third judgment result are generated; the judgment results are compared and bound with the magnetic attraction target, and the judgment data is uploaded to the cloud platform after each round of judgment is completed.

4. The safety monitoring method for the flood discharge and sand flushing gate according to claim 3, characterized in that, Generating the first judgment result, the second judgment result, and the third judgment result includes the following steps: Each time a first point appears, the threshold counter automatically increments, and the sampling points of the first effective flow velocity value and the magnetic attraction tendency are recorded simultaneously; when the threshold counter reaches the first pre-designed value, the first judgment result is immediately triggered, and the enhanced magnetic attraction signal is output; thus forming the first judgment result. Each time a second point appears, the counter below the threshold automatically increments, and the sampling points of the second effective flow rate value and the magnetic attraction tendency are recorded simultaneously; when the counter below the threshold reaches the second pre-designed value, the second judgment result is immediately triggered, and a standard magnetic attraction signal is output; thus forming the second judgment result; When the effective flow rate value is within the threshold range, the magnetic attraction tendency is always marked as the position, and the counter threshold verification is not triggered; the current magnetic attraction state is read, and the judgment result of maintaining the current magnetic attraction state is output; a third judgment result is formed.

5. The safety monitoring method for the flood discharge and sand flushing gate according to claim 1, characterized in that, Obtaining the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sediment flushing gate includes the following steps: Acceleration signals at various points within the stiffness-sensitive zone of the flood discharge and sediment flushing gate are captured, converted into displacement and velocity, and the timestamp, coordinates, displacement, velocity, and acceleration are recorded to form vibration state data; stress signals are collected, converted into actual values, and the timestamp, coordinates, instantaneous stress, and stress change rate are recorded to form dynamic stress data. The vibration state data and dynamic stress data are processed to remove sediment pulse interference and electromagnetic noise, filter valid identifiers, and fill in missing sampling points with backup points; vibration data and dynamic stress data at the same time are correlated based on timestamps. Vibration characteristics are extracted, analyzed and rated to obtain stiffness assessment values; dynamic stress indices such as maximum dynamic stress, stress amplitude, number of cycles, and equivalent dynamic stress are statistically analyzed, and dynamic stress indices are evaluated to obtain dynamic stress safety assessment values.

6. The safety monitoring method for the flood discharge and sand flushing gate according to claim 5, characterized in that, The process of correlating vibration data and dynamic stress data at the same time point based on timestamps includes the following steps: The vibration sensor in the stiffness-sensitive area captures the acceleration signal generated by the vibration of the flood discharge and sand flushing gate in real time and transmits the acceleration signal to the underwater data acquisition terminal. The dynamic stress sensor is synchronized with the vibration sensor. The dynamic stress sensor at the overlapping point of the stiffness sensitive area and the stress concentration area captures the dynamic stress signal generated by the water flow impact and vibration of the flood discharge and sand flushing gate structure; the dynamic stress signal is amplified and transmitted to the underwater data acquisition terminal. The underwater data acquisition terminal removes high-frequency electromagnetic interference from the raw acceleration signal, retains the effective vibration signal of the preset Hertz, and marks abnormal points; it also retains the preset dynamic stress signal from the raw dynamic stress signal and removes the pulse signal generated by the instantaneous impact of mud and sand.

7. The safety monitoring method for the flood discharge and sand flushing gate according to claim 5, characterized in that, The stiffness assessment value is obtained by following these steps: The water flow pulsation pressure and the resonance frequency of the flood discharge and sand flushing gate body during the operation of the flood discharge and sand flushing gate were monitored in a preset cycle, and the actual vibration frequency of the flood discharge and sand flushing gate in each cycle was statistically analyzed. Extract the maximum vertical vibration acceleration and the maximum vibration acceleration in the direction of water flow of each structural component at the time points of opening the flood discharge and sand flushing gate and when the gate body reaches its final position; extract the vertical vibration displacement and the vibration displacement in the direction of water flow of each structural component at the time points of opening the flood discharge and sand flushing gate and when the gate body reaches its final position. The actual vibration frequency of the flood discharge and sediment flushing gate in each monitoring cycle is extracted, processed, and the stiffness assessment value of the flood discharge and sediment flushing gate is obtained; the stiffness assessment value is analyzed to obtain the dynamic stress safety assessment value. Among them, the stiffness assessment value of the flood discharge and sand flushing gate indicates the degree of resistance to deformation of the gate structure under external loads.

8. The safety monitoring method for the flood discharge and sediment flushing gate according to claim 7, characterized in that, To obtain the dynamic stress safety assessment value, the following steps are included: The dynamic stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle are statistically analyzed. The number of times the dynamic stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle exceed the preset dynamic stress safety threshold is also statistically analyzed. These are marked as the number of times the stress overload of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring cycle is recorded. The maximum and minimum stress values ​​of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period were extracted and the difference was processed to obtain the dynamic stress change of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period. The stress overload count of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period and the dynamic stress change of each structural component during the operation of the flood discharge and sand flushing gate in each monitoring period are extracted. The dynamic stress change is processed to obtain the dynamic stress safety assessment value of the flood discharge and sand flushing gate. Among them, the dynamic stress safety assessment value of the flood discharge and sand flushing gate represents a quantitative assessment of the degree of stress change of the flood discharge and sand flushing gate during operation.

9. The safety monitoring method for the flood discharge and sediment flushing gate according to claim 1, characterized in that, The safety factor of the current underwater flood discharge and sediment flushing gate is determined by the following steps: Extract the stiffness and dynamic stress dimensions from the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sediment flushing gate, and correlate the stiffness and dynamic stress dimensions according to the monitoring points and assessment timestamps; collect the operational characteristic data of the flood discharge and sediment flushing gate; The stiffness assessment values ​​include stiffness values, stiffness attenuation rates, and attenuation ratings at each point, with the weighted average of attenuation rates at all points used as the overall stiffness attenuation index. The dynamic stress safety assessment values ​​include dynamic stress safety margins, risk levels, and corrected dynamic stresses at each point, with the average safety margin of points in the dynamic stress concentration zone used as the core dynamic stress index. The operational characteristic data of the flood discharge and sand flushing gates include static and dynamic characteristics. Static characteristics include years of operation, historical maintenance frequency, and time since the last major overhaul. Dynamic characteristics include current flow velocity, actual magnetic attraction strength, flood discharge and sand flushing gate opening, and cumulative duration. The stiffness dimension is analyzed, the attenuation rating is adjusted, and a stiffness safety sub-coefficient is obtained; the dynamic stress dimension is analyzed, the risk level is corrected, and a dynamic stress safety sub-coefficient is obtained; the static characteristics are quantified, and the dynamic data are fused to obtain a comprehensive correction coefficient. The stiffness safety factor, dynamic stress safety factor, and comprehensive correction factor are weighted and fused to obtain the current safety factor of the flood discharge and sediment flushing gate; a current gate safety factor report is generated based on the current flood discharge and sediment flushing gate safety factor and uploaded to the cloud platform; The safety levels of the flood discharge and sand flushing gates are as follows: Level 1 Safety, which is a normal state and is indicated by a green indicator; Level 2 Safety, which is a state of concern and is indicated by a yellow indicator; Level 3 Warning, which is a state of restriction and is indicated by an orange warning; and Level 4 Danger, which is a state of shutdown and is indicated by a red warning.

10. A safety monitoring system for a flood discharge and sediment flushing gate, applied to the safety monitoring method for a flood discharge and sediment flushing gate as described in any one of claims 1 to 9, characterized in that, The safety monitoring system for the flood discharge and sediment flushing gate includes: The magnetic attraction monitoring module is used to install ultra-strong permanent magnet sensors on underwater flood discharge and sand flushing gates. The magnetic attraction intensity of the ultra-strong permanent magnet sensors is controlled according to the real-time water flow. When the real-time water flow is greater than the preset high water flow threshold, the magnetic attraction intensity is increased; if it is lower than the preset high water flow threshold, the magnetic attraction intensity is restored to the standard magnetic attraction value. The stiffness and dynamic stress assessment module is used by the ultra-strong permanent magnet sensor to monitor the vibration state data and dynamic stress data of each structure during the operation of the underwater flood discharge and sand flushing gate; and obtains the stiffness assessment value and dynamic stress safety assessment value of the underwater flood discharge and sand flushing gate. The safety factor assessment module is used to evaluate the stiffness and dynamic stress safety of the underwater flood discharge and sand flushing gate, and to assess the current safety factor of the underwater flood discharge and sand flushing gate by combining the characteristic data of the underwater flood discharge and sand flushing gate during operation. The safety factor of the underwater flood discharge and sand flushing gate is then uploaded to the cloud platform.

Images