A real-time analysis method and device for diversion tunnel gate vibration

Abstract

The present invention provides a real-time analysis method and device for the vibration of a diversion tunnel gate, and relates to the technical field of flow-induced vibration analysis of gates. The present invention introduces a bio-fluid-solid coupling model that combines real-time data acquisition with finite element analysis, sets the data acquisition frequency within a monitoring period, monitors and integrates biofilm thickness, growth rate and water flow dynamics data in real time, and constructs a comprehensive vibration state analysis strategy, which effectively improves the system's ability to identify and control the vibration state; it not only improves the accuracy of the analysis, but also provides highly targeted biofilm thickness control and adjustment measures, which significantly enhances the stability and safety of the diversion tunnel gate operation.

Description

Technical Field

[0001] The present invention relates to the technical field of gate flow-induced vibration analysis, and in particular to a method and device for real-time analysis of diversion tunnel gate vibration. Background Art

[0002] Traditionally, engineers have mainly relied on empirical formulas and simplified numerical simulation methods to analyze gate vibration, but these methods usually ignore the complex interaction between water flow and biofilm, resulting in reduced accuracy and reliability of the analysis results. In addition, the combined effects of water flow dynamics and biofilm growth on gate vibration have not been fully studied, which to some extent limits the optimization of diversion tunnel gate design and maintenance;

[0003] In the prior art, the announcement number CN111507030B discloses a flow-induced vibration analysis method for hydraulic steel gates based on large eddy simulation. According to the structural characteristics of the hydraulic steel gate, a water finite element model of the front and rear flow channels and a solid finite element model of the steel gate are established. Based on the ADINA finite element analysis software, the water finite element model of the front and rear flow channels and the solid finite element model of the steel gate are successively subjected to fluid mechanics calculations and solid mechanics calculations, and the structural safety of the hydraulic steel gate is comprehensively evaluated from qualitative and quantitative perspectives. This method aims at the problems existing in the current calculation and analysis of flow-induced vibration of hydraulic steel gates, and proposes a numerical simulation analysis method based on large eddy simulation. This method can not only capture the shedding of small-scale vortices under high-speed water flow, but also effectively solve the shortcomings of the difficulty in determining the similarity ratio of physical model tests and the high cost, and can provide a corresponding basis and reference for the design and operation of hydraulic steel gates;

[0004] The shortcomings include: lack of comprehensive coupling analysis of the complex interactions between hydrodynamics, biofilm growth and structural vibration, insufficient real-time monitoring capabilities, insufficient data integration and processing, difficulty in effectively using multi-dimensional data for accurate prediction and adjustment, and lack of scientific vibration state prediction models and precise adjustment measures. These shortcomings limit the accuracy and effectiveness of diversion tunnel gate vibration analysis;

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The object of the present invention is to provide a method and device for real-time analysis of diversion tunnel gate vibration to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A real-time analysis method for diversion tunnel gate vibration, the specific steps comprising:

[0009] Step S1: data collection is performed M times in the current and previous monitoring cycles, and the duration of each data collection is the monitoring time period T. In the monitoring time period T to which the current collection times belong, the biofilm thickness and growth rate of the biofilm layer on the side wall of the diversion tunnel, and the biofilm thickness on the inner surface of the diversion tunnel gate are monitored in real time, and the hydrodynamic data flowing through the diversion tunnel gate is monitored, and the hydrodynamic data includes velocity and pressure data; and the vibration frequency of the diversion tunnel gate is collected, and these data are integrated into the central database for normalization processing;

[0010] Step S2: Based on the preprocessed data, a bio-fluid-solid coupling model is constructed using a finite element analysis method, where bio, fluid, and solid represent the bio part, the fluid part, and the solid part, respectively;

[0011] The biological-fluid-solid coupling model is used to perform data analysis in the current monitoring time period T of the corresponding monitoring cycle, and obtain the following first impact result, second impact result, third impact result and fourth impact result respectively;

[0012] Real-time analysis of the first impact of the biofilm thickness and growth rate on the side wall of the diversion tunnel on the hydrodynamic data flowing through the diversion tunnel gate, and the first correlation adjustment coefficient is comprehensively formed;

[0013] Based on the first impact result, the second impact result of the hydrodynamic data flowing through the diversion tunnel gate on the biofilm thickness on the inner surface of the diversion tunnel gate is analyzed in real time, and a second correlation adjustment coefficient is formed;

[0014] Based on the first impact result, the third impact result of the hydrodynamic data flowing through the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a third correlation adjustment coefficient is formed;

[0015] Based on the second impact result, a fourth impact result of the biofilm thickness on the inner surface of the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a fourth correlation adjustment coefficient is formed;

[0016] Step S3: Comprehensively analyze the third impact result and the fourth impact result to generate a vibration state analysis strategy for determining the vibration degree of the diversion tunnel gate within the current monitoring time period T; and based on the vibration state analysis strategy, provide control adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate and the side wall of the diversion tunnel.

[0017] A diversion tunnel gate vibration real analysis device, the device is used to perform the diversion tunnel gate vibration real analysis method, comprising:

[0018] Data acquisition and preprocessing module: used to collect data M times in the current and previous monitoring cycles, and the duration of each data collection is the monitoring time period T. In the monitoring time period T to which the current collection times belong, the biofilm thickness and growth rate of the biofilm layer on the side wall of the diversion tunnel, as well as the biofilm thickness on the inner surface of the diversion tunnel gate are monitored in real time, and the hydrodynamic data flowing through the diversion tunnel gate is monitored, and the hydrodynamic data includes velocity and pressure data; and the vibration frequency of the diversion tunnel gate is collected, and these data are integrated into the central database for normalization processing;

[0019] Impact result generation module: used to construct a bio-fluid-solid coupling model based on the pre-processed data using the finite element analysis method, where bio, fluid, and solid represent the biological part, the fluid part, and the solid part respectively;

[0020] The biological-fluid-solid coupling model is used to perform data analysis in the current monitoring time period T of the corresponding monitoring cycle, and obtain the following first impact result, second impact result, third impact result and fourth impact result respectively;

[0021] Real-time analysis of the first impact of the biofilm thickness and growth rate on the side wall of the diversion tunnel on the hydrodynamic data flowing through the diversion tunnel gate, and the first correlation adjustment coefficient is comprehensively formed;

[0022] Based on the first impact result, the second impact result of the hydrodynamic data flowing through the diversion tunnel gate on the biofilm thickness on the inner surface of the diversion tunnel gate is analyzed in real time, and a second correlation adjustment coefficient is formed;

[0023] Based on the first impact result, the third impact result of the hydrodynamic data flowing through the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a third correlation adjustment coefficient is formed;

[0024] Based on the second impact result, a fourth impact result of the biofilm thickness on the inner surface of the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a fourth correlation adjustment coefficient is formed;

[0025] Strategy analysis module: used to comprehensively analyze the third impact result and the fourth impact result, generate a vibration state analysis strategy for determining the vibration degree of the diversion tunnel gate within the current monitoring time period T; and based on the vibration state analysis strategy, provide control adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate and the side wall of the diversion tunnel.

[0026] Compared with the prior art, the beneficial effects of the present invention are: by introducing a bio-fluid-solid coupling model that combines real-time data acquisition and finite element analysis, by setting the data acquisition frequency within the monitoring period, real-time monitoring and integration of biofilm thickness, growth rate and hydrodynamics data, and constructing a comprehensive vibration state analysis strategy, the system's ability to identify and control the vibration state is effectively improved; not only the accuracy of the analysis is improved, but also targeted biofilm thickness control and adjustment measures are provided, significantly enhancing the stability and safety of the diversion tunnel gate operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0028] Figure 2 FIG. 4 is a block diagram of an execution module of the device of the present invention. DETAILED DESCRIPTION

[0029] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0030] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0031] Embodiment 1:

[0032] See also Figure 1 , the present invention provides a technical solution:

[0033] A real-time analysis method for diversion tunnel gate vibration, the specific steps comprising:

[0034] Step S1: data collection is performed M times in the current and previous monitoring cycles, and the duration of each data collection is the monitoring time period T. In the monitoring time period T to which the current collection times belong, the biofilm thickness and growth rate of the biofilm layer on the side wall of the diversion tunnel, and the biofilm thickness on the inner surface of the diversion tunnel gate are monitored in real time, and the hydrodynamic data flowing through the diversion tunnel gate is monitored, and the hydrodynamic data includes velocity and pressure data; and the vibration frequency of the diversion tunnel gate is collected, and these data are integrated into the central database for normalization processing;

[0035] Step S2: Based on the preprocessed data, a bio-fluid-solid coupling model is constructed using a finite element analysis method, where bio, fluid, and solid represent the bio part, the fluid part, and the solid part, respectively;

[0036] The biological-fluid-solid coupling model is used to perform data analysis in the current monitoring time period T of the corresponding monitoring cycle, and obtain the following first impact result, second impact result, third impact result and fourth impact result respectively;

[0037] Real-time analysis of the first impact of the biofilm thickness and growth rate on the side wall of the diversion tunnel on the hydrodynamic data flowing through the diversion tunnel gate, and the first correlation adjustment coefficient is comprehensively formed;

[0038] Based on the first impact result, the second impact result of the hydrodynamic data flowing through the diversion tunnel gate on the biofilm thickness on the inner surface of the diversion tunnel gate is analyzed in real time, and a second correlation adjustment coefficient is formed;

[0039] Based on the first impact result, the third impact result of the hydrodynamic data flowing through the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a third correlation adjustment coefficient is formed;

[0040] Based on the second impact result, a fourth impact result of the biofilm thickness on the inner surface of the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a fourth correlation adjustment coefficient is formed;

[0041] Step S3: Comprehensively analyze the third impact result and the fourth impact result, and comprehensively generate a vibration state analysis strategy for determining the vibration degree of the diversion tunnel gate within the current monitoring time period T; and based on the vibration state analysis strategy, provide control adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate and the side wall of the diversion tunnel.

[0042] It is further explained that within the monitoring cycle of M data collections, the time intervals between two adjacent monitoring time periods T are the same; the biofilm sensor selects an ultrasonic sensor suitable for underwater environments, which has high resolution and corrosion resistance; and can be used to monitor the biofilm thickness and growth rate;

[0043] The ultrasonic sensor automatically transmits ultrasonic signals every minute during the monitoring period T and receives echo signals reflected from the biofilm surface;

[0044] The biofilm thickness is calculated by analyzing the time difference of ultrasonic wave propagation, that is, the time from emission to reception;

[0045] Record the biofilm thickness data within the monitoring time period T, and calculate the growth rate by comparing the biofilm thickness corresponding to the starting time and the current time within the monitoring time period T;

[0046] Flow velocity sensor: electromagnetic flow meter is selected, which has high measurement accuracy and is suitable for the water flow environment of the diversion tunnel;

[0047] Pressure sensor: piezoelectric pressure sensor is used to measure water flow pressure data in real time;

[0048] Vibration sensor: Use high-sensitivity accelerometer, suitable for underwater vibration detection;

[0049] Biofilm sensor: installed in the middle and on both sides of the inner surface of the diversion tunnel gate;

[0050] Flow rate and pressure sensors: installed at the water inlet or outlet near the gate to ensure comprehensive monitoring of water flow dynamics data;

[0051] Vibration sensor: installed on both sides of the gate, and the vibration sensor needs to be in the area covered by the biofilm layer to capture the overall vibration of the gate;

[0052] The data collection times sequence set of the monitoring period is set to {1, 2, ..., m, ..., M}, where m represents the index of the mth data collection, and M is the total number of data collection times in the monitoring period;

[0053] The number of times monitoring data is stored in the monitoring time period T is set to {1, 2, ..., i, ..., n}, where i represents the index of the i-th storage of monitoring data, and n is the total number of times monitoring data is stored in the monitoring time period T;

[0054] The monitoring cycle is set to collect data every other week within each month to ensure data continuity and long-term monitoring effects;

[0055] In each monitoring time period T, the data collection frequency is set to collect data once every hour;

[0056] For biofilm thickness and growth rate: within each monitoring period T, the ultrasonic sensor automatically collects biofilm thickness and growth rate data every hour and records them in a local storage device;

[0057] Hydrodynamics data: electromagnetic flowmeter and piezoelectric pressure sensor synchronously collect flow rate and pressure data every hour;

[0058] Vibration frequency: A high-sensitivity accelerometer records the gate’s vibration frequency data every hour;

[0059] Transmit all collected data to the central database via wireless or wired transmission;

[0060] Data cleaning: Detect and eliminate data points that deviate greatly from surrounding data through statistical methods to remove noise and outliers;

[0061] Data formatting: Format the data uniformly, specifically organize the timestamp, sensor number, collected data, etc. into a standardized data table format;

[0062] The collated data is stored in a central database and categorized by time sequence and sensor type for subsequent analysis;

[0063] After the monitoring data stored for the i-th time in the m-th data collection is standardized in the same scale range (0,1), the standardized biofilm thickness, growth rate, speed, pressure and vibration frequency are recorded as SWd m,i , SZv m,i 、Sv m,i 、Sp m,i , Zf m,i ; and the biofilm thickness on the inner surface of the diversion tunnel gate is recorded as SWd1 m,i ;

[0064] Among them, SZv m,i The calculation formula is as follows:

[0065]

[0066] Among them, SWd m,1 is the biofilm thickness stored for the first time in the mth data collection, Δt i The length of time from the start time of the i-th storage.

[0067] It is further specified that the biological part includes the biofilm thickness and growth rate on the sidewall of the diversion tunnel and the biofilm thickness on the inner surface of the diversion tunnel gate in each monitoring time period T;

[0068] Biofilm formation and growth: A biofilm is a layer of adherent material formed by a community of microorganisms on the inner surface of a solid part; the thickness and growth rate of the biofilm will affect the physical properties of the solid part.

[0069] The fluid part includes the hydrodynamic data flowing through the diversion tunnel gate during each monitoring time period T, which will affect the biofilm thickness and growth rate.

[0070] The solid part includes the vibration frequency of the diversion tunnel gate under the influence of hydrodynamic data and biofilm thickness during each monitoring period T.

[0071] Further explanation: the current data collection number is determined to be the m1th data collection in the monitoring cycle, m1∈{1,2,…,M}; and within the current monitoring time period T of the m1th data collection, the number sequence set of the stored monitoring data is {1,2,…,i1,…,n}, where i1 represents the index of the i1th stored monitoring data within the current monitoring time period T, and the number of indexes of the currently stored monitoring data is set to n′, n′≤n;

[0072] The hydrodynamic data stored for the i1th time in the current monitoring period is recorded as SLd m1,i1 ; The hydrodynamic data stored for the i-th time in the past m1-1-th data collection is recorded as SLd m1-1,i ;

[0073]

[0074] If m1≥2, SWd is calculated comprehensively in the data collection of the m1-1th and the current m1th data collection in the current monitoring cycle. m,i , SZv m,i , SLd m1,i , Zf m,i 、SWd1 m,i The average change trend coefficient between two adjacent storage indexes in the frequency series set corresponding to the storage monitoring data;

[0075] If m1 = 1, the average change trend coefficient will be calculated based on the corresponding monitoring data stored in the previous monitoring period;

[0076] The calculation formula of the average change trend coefficient is as follows:

[0077]

[0078] Among them, X1∈{SWd, SWd1, SZv, SLd, Zf}, SWd, SZv represent the biofilm thickness and growth rate on the side wall of the diversion tunnel, SWd1, Zf represent the biofilm thickness and vibration frequency on the gate of the diversion tunnel, SLd represents the hydrodynamic data flowing through the gate of the diversion tunnel;

[0079] X1 m1-1,i+1 、X1 m1-1,iIndicates the biofilm thickness, growth rate, and hydrodynamics data corresponding to the indexes i and i+1 of the two adjacent stored monitoring data in the past m1-1th data collection in the current monitoring cycle;

[0080] X1 m1,i1+1 、X1 m1,i1 Indicates the biofilm thickness, growth rate, and hydrodynamics data corresponding to the indexes i1 and i1+1 of the two adjacent stored monitoring data in the current m1-th data collection in the current monitoring cycle;

[0081] X1 m2-1,i+1 、X1 m2-1,i Indicates the biofilm thickness, growth rate, and hydrodynamics data corresponding to the indexes i and i+1 of the two adjacent stored monitoring data in the data collection of the m2-1th time in the previous monitoring cycle, and m2-1 represents the same number of collections as m1-1 in the current monitoring cycle;

[0082] X1 m2,i1+1 、X1 m2,i1 Indicates the biofilm thickness, growth rate, and hydrodynamics data corresponding to the indexes i1 and i1+1 of the two adjacent stored monitoring data in the m2th data collection in the previous monitoring cycle; and m2 represents the same number of collections as m1 in the current monitoring cycle;

[0083] Indicates the average biofilm thickness change trend coefficient or average growth rate change trend coefficient on the diversion tunnel side wall or the average biofilm thickness change trend coefficient or average vibration frequency change trend coefficient on the diversion tunnel gate or the average water flow change trend coefficient flowing through the diversion tunnel gate in the current m1th data collection; and limits The valid value range of is (0,1);

[0084] X1 m1,1 Indicates the monitoring data when the number of index n′ of the stored monitoring data corresponding to the monitoring time period T is 1 in the current m1-th data collection;

[0085] Further explanation: the first correlation adjustment coefficient is formed comprehensively, specifically including:

[0086] Calculate the first correlation adjustment coefficient between the average growth rate change trend coefficient and the average biofilm thickness change trend coefficient and the average water flow change trend coefficient in the current m1-th data collection, the first correlation adjustment coefficient is used to evaluate the influence of the biofilm thickness and growth rate on the side wall of the diversion tunnel on the hydrodynamic data flowing through the diversion tunnel gate, and use the first correlation adjustment coefficient to provide an adjustment formula for the hydrodynamic data stored for the i 1th time in the current monitoring time period;

[0087] Define the first correlation adjustment coefficient of the current monitoring period as α1 m1 , the calculation formula is as follows:

[0088]

[0089] Among them, w SWd 、w SZv 、w SLd are the corresponding weight coefficients, and w SWd 、w SZv 、w SLd The value range is (0,1), w SWd +w SZv +w SLd =1;

[0090] Set separately and The judgment threshold is ; This embodiment, Set to 0.45 and 0.46 respectively;

[0091] when When , the weight coefficients are distributed as follows:

[0092]

[0093] when When , the weight coefficients are distributed as follows:

[0094]

[0095] when When , the weight coefficients are distributed as follows:

[0096]

[0097] when When , the weight coefficients are distributed as follows:

[0098] w SWd =w SZv =w SLd

[0099] is the average biofilm thickness change trend coefficient during the current monitoring period;

[0100] is the average growth rate change trend coefficient for the current monitoring period;

[0101] is the average water flow change trend coefficient during the current monitoring period;

[0102] Setting α1 m1The valid value range of is (0,2);

[0103] When α1 m1 When >1, it means that the biofilm thickness and growth rate have a positive effect on the hydrodynamic data, which will lead to an increase in the hydrodynamic data value;

[0104] When α1 m1 =1, indicating that the biofilm thickness and growth rate have little effect on the hydrodynamic data, and the hydrodynamic data value variation range is within 3%;

[0105] When α1 m1 When <1, it means that the biofilm thickness and growth rate have a negative impact on the hydrodynamic data, which will lead to a decrease in the hydrodynamic data value;

[0106] The hydrodynamic data SLd stored for the i1th time in the current monitoring period m1,i1 The adjustment formula is:

[0107]

[0108] SLd′ m1,i1 is the adjusted hydrodynamic data, and the adjusted average water flow change trend coefficient is set as .

[0109] Further explanation: forming the second correlation adjustment coefficient specifically includes:

[0110] Calculate the second correlation adjustment coefficient between the adjusted average water flow change trend coefficient and the average biofilm thickness change trend coefficient on the inner surface of the diversion tunnel gate in the current m1th data collection, the second correlation adjustment coefficient is used to evaluate the influence of the water flow dynamics data flowing through the diversion tunnel gate on the biofilm thickness on the inner surface of the diversion tunnel gate, and use the second correlation adjustment coefficient to provide an adjustment formula for the biofilm thickness on the inner surface of the diversion tunnel gate stored for the i1th time in the current monitoring time period;

[0111] Define the second correlation adjustment coefficient of the current monitoring time period as α2 m1 , the calculation formula is as follows:

[0112]

[0113] Among them, η1 is the adjustment factor, 0.12≤η1≤0.86; α2 m1 The effective range of η1 is (0, 0.5); this is because the maximum value of the numerator is 0.5 times the trend coefficient, and the minimum value of the denominator is 1; in this embodiment, η1 takes a value of 0.55;

[0114] When α2 m1When it is closer to 0.5, it means that the hydrodynamic data has a greater impact on the biofilm thickness on the inner surface of the diversion tunnel gate, which will cause the biofilm thickness to decrease under the action of water flow velocity and pressure;

[0115] When α2 m1 The closer it is to 0, the smaller the influence of hydrodynamic data on the biofilm thickness on the inner surface of the diversion tunnel gate. The variation trend of biofilm thickness is similar to α2 m1 The situation is the opposite when it approaches 0.5;

[0116] Based on experimental analysis or expert group system demonstration, set α2 m1 The judgment threshold is α2 m1,th , 0.15≤α2 m1,th ≤0.46; α2 in this embodiment m1 The value is 0.33;

[0117] When α2 m1 ≥α2 m1,th When the biofilm thickness SWd1 on the inner surface of the diversion tunnel gate is stored for the i1th time in the current monitoring period m1,i1 The adjustment formula is:

[0118]

[0119] When α2 m1 <α2 m1,th When the biofilm thickness SWd1 on the inner surface of the diversion tunnel gate is stored for the i1th time in the current monitoring period m1,i1 The adjustment formula is:

[0120]

[0121] Among them, SWd1′ m1,i1 For SWd1 m1,i1 The adjusted biofilm thickness is calculated and the average biofilm thickness change trend coefficient is set as

[0122] Further explanation: forming the third correlation adjustment coefficient specifically includes:

[0123] Calculate the third correlation adjustment coefficient between the adjusted average water flow change trend coefficient and the average vibration frequency change trend coefficient on the diversion tunnel gate in the current m1th data collection, the third correlation adjustment coefficient is used to evaluate the influence of the water flow dynamics data flowing through the diversion tunnel gate on the vibration frequency on the diversion tunnel gate, and use the third correlation adjustment coefficient to provide an adjustment formula for the vibration frequency on the diversion tunnel gate stored for the i1th time in the current monitoring time period;

[0124] Define the third correlation adjustment coefficient of the current monitoring period as α3m1 , the calculation formula is as follows:

[0125]

[0126] Among them, η2 is the adjustment factor, 0.11≤η2≤0.76; α3 m1 The effective value range of is (0, 0.5); in this embodiment, η2 takes the value of 0.45;

[0127] When α3 m1 When it is closer to 0.5, it means that the influence of hydrodynamic data on the vibration frequency is greater, which will cause the vibration frequency of the diversion tunnel gate to increase;

[0128] When α3 m1 The closer it is to 0, the smaller the influence of hydrodynamic data on the vibration frequency. The trend of vibration frequency change is similar to α3. m1 The situation is the opposite when it approaches 0.5;

[0129] Based on experimental analysis or expert group system demonstration, set α3 m1 The judgment threshold is α3 m1,th , 0.12≤α3 m1,th ≤0.38; α3 in this embodiment m1 The value is 0.31;

[0130] When α3 m1 ≥α3 m1,th When the vibration frequency Zf on the diversion tunnel gate is stored for the i1th time in the current monitoring time period, m1,i1 The adjustment formula is:

[0131]

[0132] When α3 m1 <α3 m1,th When the vibration frequency Zf on the diversion tunnel gate is stored for the i1th time in the current monitoring time period, m1,i1 The adjustment formula is:

[0133]

[0134] Among them, Zf′ m1,i1 According to the third correlation adjustment coefficient, for Zf m1,i1 The vibration frequency after adjustment.

[0135] Further explanation: forming the fourth correlation adjustment coefficient specifically includes:

[0136] Calculate the fourth correlation adjustment coefficient between the average biofilm thickness change trend coefficient after adjustment on the inner surface of the diversion tunnel gate and the average vibration frequency change trend coefficient on the diversion tunnel gate in the current m1th data collection. The fourth correlation adjustment coefficient is used to evaluate the adjusted biofilm thickness SWd1′ on the inner surface of the diversion tunnel gate m1,i1 The degree of influence on the vibration frequency on the diversion tunnel gate, and using the fourth associated adjustment coefficient to provide an adjustment formula for the vibration frequency on the diversion tunnel gate stored for the i1th time in the current monitoring time period;

[0137] Define the fourth correlation adjustment coefficient of the current monitoring period as α4 m1 , the calculation formula is as follows:

[0138]

[0139] Among them, η3 is the adjustment factor, 0.15≤η3≤0.68; α4 m1 The effective range of η is (0, 0.5); in this embodiment, η3 takes a value of 0.41;

[0140] The biofilm itself has a certain mass. The thicker the biofilm is, the greater the mass attached to the surface of the diversion tunnel gate will be; this will change the total mass of the system;

[0141] Damping effect: The biofilm has viscoelastic properties, which will increase the damping effect of the diversion tunnel gate system; this means that the biofilm will absorb part of the vibration energy, resulting in vibration attenuation;

[0142] The damping effect of the biofilm will increase the attenuation rate of the vibration frequency, that is, the vibration energy is dissipated faster; this will affect the response characteristics of the system, resulting in a decrease in the amplitude of the vibration frequency and a more stable vibration;

[0143] When α4 m1 When it approaches 0.5, it indicates the adjusted biofilm thickness SWd1′ on the inner surface of the diversion tunnel gate. m1,i1 The greater the impact on the stability of the vibration frequency, the smaller the vibration frequency of the diversion tunnel gate will be;

[0144] When α4 m1 The closer it is to 0, the thicker the biofilm is on the inner surface of the diversion tunnel gate after adjustment, SWd1′ m1,i1 The smaller the impact on the stability of the vibration frequency;

[0145] Based on experimental analysis or expert group system demonstration, set α4 m1 The judgment threshold is α4 m1,th , 0.14≤α4 m1,th ≤0.39; α4 in this embodiment m1 The value is 0.32;

[0146] When α4 m1 ≥α4 m1,th When the vibration frequency Zf on the diversion tunnel gate is stored for the i1th time in the current monitoring time period, m1,i1 The adjustment formula is:

[0147]

[0148] When α4 m1 <α4 m1,th When the vibration frequency Zf on the diversion tunnel gate is stored for the i1th time in the current monitoring time period, m1,i1 The adjustment formula is:

[0149]

[0150] Among them, Zf″ m1,i1 According to the fourth correlation adjustment coefficient, for Zf m1,i1 The vibration frequency after adjustment.

[0151] Further explanation: generating a vibration state analysis strategy for determining the vibration degree of the diversion tunnel gate within the current monitoring time period T; specifically including:

[0152] 1.1) When α3 m1 ≥α3 m1,th , and α4 m1 <α4 m1,th When , the vibration state analysis strategy is:

[0153] The hydrodynamic data and the biofilm thickness on the diversion tunnel gate both have a positive effect on the vibration frequency;

[0154] During the monitoring time period T of the current monitoring time period, the final vibration frequency of the diversion tunnel gate during the i1th storage monitoring is Qf1 m1,i1 , the calculation formula is as follows:

[0155]

[0156] The control and adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate are: increase the biofilm thickness on the inner surface of the diversion tunnel gate in the monitoring time period T during the current m1th data collection by 20%;

[0157] The control and adjustment measures for the biofilm thickness on the side wall of the diversion tunnel are: reducing the biofilm thickness on the side wall of the diversion tunnel by 15% in the monitoring time period T during the current m1th data collection;

[0158] 1.2) When α3 m1 ≥α3 m1,th , and α4 m1 ≥α4 m1,thWhen , the vibration state analysis strategy is:

[0159] The hydrodynamic data has a positive effect on the vibration frequency, while the thickness of the biofilm on the diversion tunnel gate has a negative effect on the vibration frequency.

[0160] During the monitoring time period T of the current monitoring time period, the final vibration frequency of the diversion tunnel gate during the i1th storage monitoring is Qf2 m1,i1 , the calculation formula is as follows:

[0161]

[0162] The control and adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate are: maintain 16% of the biofilm thickness on the inner surface of the diversion tunnel gate in the monitoring time period T during the current m1th data collection;

[0163] The control and adjustment measures for the biofilm thickness on the side wall of the diversion tunnel are: reducing the biofilm thickness on the side wall of the diversion tunnel in the monitoring time period T during the current m1th data collection to increase the intercepting area of ​​the water flowing through, thereby reducing the hydrodynamic data;

[0164] 1.3) When α3 m1 <α3 m1,th , and α4 m1 ≥α4 m1,th When , the vibration state analysis strategy is:

[0165] The hydrodynamic data and the biofilm thickness on the diversion tunnel gate both have a negative reducing effect on the vibration frequency;

[0166] During the monitoring time period T of the current monitoring time period, the final vibration frequency of the diversion tunnel gate during the i1th storage monitoring is Qf3 m1,i1 , the calculation formula is as follows:

[0167]

[0168] The control and adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate are: maintaining the biofilm thickness on the inner surface of the diversion tunnel gate in the monitoring time period T during the current m1th data collection;

[0169] The control and adjustment measures for the biofilm thickness on the side wall of the diversion tunnel are: maintaining the biofilm thickness on the side wall of the diversion tunnel in the monitoring time period T during the current m1th data collection;

[0170] 1.4) When α3 m1 <α3 m1,th , and α4 m1 <α4 m1,th When , the vibration state analysis strategy is:

[0171] The hydrodynamic data has a negative effect on the vibration frequency; the thickness of the biofilm on the diversion tunnel gate has a positive effect on the vibration frequency;

[0172] During the monitoring time period T of the current monitoring time period, the final vibration frequency of the diversion tunnel gate during the i1th storage monitoring is Qf4 m1,i1 , the calculation formula is as follows:

[0173]

[0174] The control and adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate are: increase the biofilm thickness on the inner surface of the diversion tunnel gate by 19% in the monitoring time period T during the current m1th data collection;

[0175] The control and adjustment measures for the biofilm thickness on the side wall of the diversion tunnel are: maintaining the biofilm thickness on the side wall of the diversion tunnel within the monitoring time period T during the current m1th data collection.

[0176] See also Figure 2 , a diversion tunnel gate vibration real analysis device, the device is used to perform the diversion tunnel gate vibration real analysis method, comprising:

[0177] Data collection and preprocessing module: M data collections are performed in the current and previous monitoring cycles. The duration of each data collection is the monitoring time period T. In the monitoring time period T to which the current collection times belong, the biofilm thickness and growth rate of the biofilm layer on the side wall of the diversion tunnel, as well as the biofilm thickness on the inner surface of the diversion tunnel gate are monitored in real time, and the hydrodynamic data flowing through the diversion tunnel gate is monitored, and the hydrodynamic data includes velocity and pressure data; the vibration frequency of the diversion tunnel gate is collected, and these data are integrated into the central database for normalization processing;

[0178] Impact result generation module: used to construct a bio-fluid-solid coupling model based on the pre-processed data using the finite element analysis method, where bio, fluid, and solid represent the biological part, the fluid part, and the solid part respectively;

[0179] The biological-fluid-solid coupling model is used to perform data analysis in the current monitoring time period T of the corresponding monitoring cycle, and obtain the following first impact result, second impact result, third impact result and fourth impact result respectively;

[0180] Real-time analysis of the first impact of the biofilm thickness and growth rate on the side wall of the diversion tunnel on the hydrodynamic data flowing through the diversion tunnel gate, and the first correlation adjustment coefficient is comprehensively formed;

[0181] Based on the first impact result, the second impact result of the hydrodynamic data flowing through the diversion tunnel gate on the biofilm thickness on the inner surface of the diversion tunnel gate is analyzed in real time, and a second correlation adjustment coefficient is formed;

[0182] Based on the first impact result, the third impact result of the hydrodynamic data flowing through the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a third correlation adjustment coefficient is formed;

[0183] Based on the second impact result, a fourth impact result of the biofilm thickness on the inner surface of the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a fourth correlation adjustment coefficient is formed;

[0184] Strategy analysis module: used to comprehensively analyze the third impact result and the fourth impact result, generate a vibration state analysis strategy for determining the vibration degree of the diversion tunnel gate within the current monitoring time period T; and based on the vibration state analysis strategy, provide control adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate and the side wall of the diversion tunnel.

[0185] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0186] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0187] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0188] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A real-time analysis method for diversion tunnel gate vibration, characterized in that: The specific steps include: Step S1: data collection is performed M times in the current and previous monitoring cycles, and the duration of each data collection is the monitoring time period T. In the monitoring time period T to which the current collection times belong, the biofilm thickness and growth rate of the biofilm layer on the side wall of the diversion tunnel, and the biofilm thickness on the inner surface of the diversion tunnel gate are monitored in real time, and the hydrodynamic data flowing through the diversion tunnel gate is monitored, and the hydrodynamic data includes velocity and pressure data; and the vibration frequency of the diversion tunnel gate is collected, and these data are integrated into the central database for normalization processing; Step S2: Based on the normalized data, a bio-fluid-solid coupling model is constructed using a finite element analysis method, where bio, fluid, and solid represent the bio part, the fluid part, and the solid part, respectively; The biological-fluid-solid coupling model is used to perform data analysis in the current monitoring time period of the corresponding monitoring cycle, and obtain the following first impact result, second impact result, third impact result and fourth impact result respectively; Real-time analysis of the first impact of the biofilm thickness and growth rate on the side wall of the diversion tunnel on the hydrodynamic data flowing through the diversion tunnel gate, and the first correlation adjustment coefficient is comprehensively formed; Based on the first impact result, the second impact result of the hydrodynamic data flowing through the diversion tunnel gate on the biofilm thickness on the inner surface of the diversion tunnel gate is analyzed in real time, and a second correlation adjustment coefficient is formed; Based on the first impact result, the third impact result of the hydrodynamic data flowing through the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a third correlation adjustment coefficient is formed; Based on the second impact result, a fourth impact result of the biofilm thickness on the inner surface of the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a fourth correlation adjustment coefficient is formed; Step S3: Comprehensively analyze the third impact result and the fourth impact result to generate a vibration state analysis strategy for determining the vibration degree of the diversion tunnel gate during the current monitoring time period; and based on the vibration state analysis strategy, provide control adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate and the side wall of the diversion tunnel.

2. A method for real-time analysis of diversion tunnel gate vibration according to claim 1, characterized in that: The data collection times sequence set of the monitoring period is set to {1, 2, ..., m, ..., M}, where m represents the index of the mth data collection, and M is the total number of data collection times in the monitoring period; The number of times monitoring data is stored in the monitoring time period T is set to {1, 2, ..., i, ..., n}, where i represents the index of the i-th storage of monitoring data, and n is the total number of times monitoring data is stored in the monitoring time period T; After the monitoring data stored for the i-th time in the m-th data collection is standardized in the same scale range (0,1), the standardized biofilm thickness, growth rate, velocity, pressure and vibration frequency are recorded as SWdm,i, SZvm,i, Svm,i, Spm,i, Zfm,i respectively; and the biofilm thickness on the inner surface of the diversion tunnel gate is recorded as SWd1m,i.

3. A method for real-time analysis of diversion tunnel gate vibration according to claim 2, characterized in that: Determine that the current data collection number is the m1th data collection in the monitoring cycle, m1∈{1,2,…,M}; and within the current monitoring time period T of the m1th data collection, the number sequence set of the stored monitoring data is {1,2,…,i1,…,n}, where i1 represents the index of the i1th stored monitoring data within the current monitoring time period T, and set the number of indexes of the currently stored monitoring data to n′, n′≤n; The hydrodynamic data stored for the i1th time in the current monitoring period is recorded as SLdm1,i1; the hydrodynamic data stored for the ith time in the past m1-1th data collection is recorded as SLdm1-1,i; If m1≥2, in the data collection of the m1-1th and the current m1th times of the current monitoring cycle, the average change trend coefficient between two adjacent storage indexes of SWdm,i, SZvm,i, SLdm1,i, Zfm,i, and SWd1m,i in the corresponding frequency sequence set of stored monitoring data is comprehensively calculated; If m1=1, the average change trend coefficient will be calculated based on the corresponding monitoring data stored in the previous monitoring period.

4. A real-time analysis method for diversion tunnel gate vibration according to claim 3, characterized in that: Calculate the average change trend coefficient of each parameter in the monitoring data during the current monitoring period. The calculation formula is as follows: Among them, X1∈{SWd, SWd1, SZv, SLd, Zf}, SWd, SZv represent the biofilm thickness and growth rate on the side wall of the diversion tunnel, SWd1, Zf represent the biofilm thickness and vibration frequency on the gate of the diversion tunnel, SLd represents the hydrodynamic data flowing through the gate of the diversion tunnel, m2 represents the same number of collections in the previous monitoring cycle as m1 in the current monitoring cycle; Indicates the average biofilm thickness change trend coefficient or average growth rate change trend coefficient on the diversion tunnel side wall or the average biofilm thickness change trend coefficient or average vibration frequency change trend coefficient on the diversion tunnel gate or the average water flow change trend coefficient flowing through the diversion tunnel gate during the current monitoring period; and limits The valid value range is (0,1).

5. A method for real-time analysis of diversion tunnel gate vibration according to claim 4, characterized in that: The first correlation adjustment coefficient is formed comprehensively, including: The first correlation adjustment coefficient of the current monitoring time period is defined as α1m1, and the calculation formula is as follows: Among them, w SW d、w SZ v、w SL d is the corresponding weight coefficient, and w SW d、w SZ v、w SL The value range of d is (0,1), and w SW d+w SZ v+w SL d = 1; is the average biofilm thickness change trend coefficient during the current monitoring period; is the average growth rate change trend coefficient for the current monitoring period; is the average water flow change trend coefficient during the current monitoring period; Set the valid range of α1m1 to (0,2); When α1m1>1, it means that the biofilm thickness and growth rate have a positive effect on the hydrodynamic data, which will lead to an increase in the hydrodynamic data value; When α1m1 = 1, it means that the biofilm thickness and growth rate have little effect on the hydrodynamic data, and the hydrodynamic data value variation range is within 3%; When α1m1<1, it means that the biofilm thickness and growth rate have a negative impact on the hydrodynamic data, which will lead to a decrease in the hydrodynamic data value; The adjustment formula of the hydrodynamic data SLdm1,i1 stored for the i1th time in the current monitoring period is: SLd′m1,i1 is the adjusted hydrodynamic data, and the adjusted hydrodynamic data is substituted into In the calculation formula, the adjusted average water flow change trend coefficient is obtained 6. A method for real-time analysis of diversion tunnel gate vibration according to claim 5, characterized in that: The second correlation adjustment coefficient is formed, specifically including: The second correlation adjustment coefficient of the current monitoring time period is defined as α2m1, and the calculation formula is as follows: Among them, η1 is the adjustment factor, 0.12≤η1≤0.86; the effective value range of α2m1 is (0,0.5); is the adjusted average water flow trend coefficient; When α2m1 approaches 0.5, it means that the hydrodynamic data has a greater impact on the biofilm thickness on the inner surface of the diversion tunnel gate, which will cause the biofilm thickness to decrease under the action of water flow velocity and pressure; When α2m1 is closer to 0, it means that the hydrodynamic data has less influence on the biofilm thickness on the inner surface of the diversion tunnel gate, and the trend of biofilm thickness change is opposite to that when α2m1 is closer to 0.5; Based on experimental analysis or systematic demonstration by the expert group, the judgment threshold of α2m1 is set to α2m1,th, 0.15≤α2m1,th≤0.46; When α2m1≥α2m1,th, the adjustment formula of the biofilm thickness SWd1m1,i1 on the inner surface of the diversion tunnel gate stored for the i1th time in the current monitoring time period is: When α2m1<α2m1,th, the adjustment formula of the biofilm thickness SWd1m1,i1 on the inner surface of the diversion tunnel gate stored for the i1th time in the current monitoring period is: Among them, SWd1′m1,i1 is the biofilm thickness after adjustment for SWd1m1,i1, and the average biofilm thickness change trend coefficient after adjustment is set as 7. A method for real-time analysis of diversion tunnel gate vibration according to claim 6, characterized in that: The third correlation adjustment coefficient is formed, specifically including: The third correlation adjustment coefficient of the current monitoring period is defined as α3m1, and the calculation formula is as follows: Among them, η2 is the adjustment factor, 0.11≤η2≤0.76; the effective range of α3m1 is (0,0.5); It is the average vibration frequency change trend coefficient in the current monitoring period; When α3m1 approaches 0.5, it means that the influence of hydrodynamic data on the vibration frequency is greater, which will cause the vibration frequency of the diversion tunnel gate to increase; When α3m1 is closer to 0, it means that the influence of hydrodynamic data on vibration frequency is smaller, and the trend of vibration frequency change is opposite to that when α3m1 is closer to 0.5; Based on experimental analysis or systematic demonstration by the expert group, the judgment threshold of α3m1 is set to α3m1,th, 0.12≤α3m1,th≤0.38; When α3m1≥α3m1,th, the adjustment formula of the vibration frequency Zfm1,i1 on the diversion tunnel gate stored for the i1th time in the current monitoring time period is: When α3m1<α3m1,th, the adjustment formula of the vibration frequency Zfm1,i1 on the diversion tunnel gate stored for the i1th time in the current monitoring time period is: Among them, Zfm′1,i1 is the adjusted vibration frequency.

8. A method for real-time analysis of diversion tunnel gate vibration according to claim 7, characterized in that: The fourth correlation adjustment coefficient is formed, specifically including: The fourth correlation adjustment coefficient of the current monitoring period is defined as α4m1, and the calculation formula is as follows: Among them, η3 is the adjustment factor, 0.15≤η3≤0.68; the effective value range of α4m1 is (0,0.5); When α4m1 approaches 0.5, it means that the adjusted biofilm thickness SWd1′m1,i1 on the inner surface of the diversion tunnel gate has a greater impact on the stability of the vibration frequency, which will cause the vibration frequency of the diversion tunnel gate to become smaller; When α4m1 approaches 0, it means that the adjusted biofilm thickness SWd1′m1,i1 on the inner surface of the diversion tunnel gate has less influence on the stability of the vibration frequency; Based on experimental analysis or systematic demonstration by the expert group, the judgment threshold of α4m1 is set to α4m1,th, 0.14≤α4m1,th≤0.39; When α4m1≥α4m1,th, the adjustment formula of the vibration frequency Zfm1,i1 on the diversion tunnel gate stored for the i1th time in the current monitoring time period is: When α4m1<α4m1,th, the adjustment formula of the vibration frequency Zfm1,i1 on the diversion tunnel gate stored for the i1th time in the current monitoring time period is: Wherein, Zfm″1,i1 is the adjusted vibration frequency.

9. A method for real-time analysis of diversion tunnel gate vibration according to claim 8, characterized in that: Comprehensively generate a vibration state analysis strategy for determining the vibration degree of the diversion tunnel gate within the current monitoring time period T; specifically including: 1.1) When α3m1≥α3m1,th, and α4m1<α4m1,th, the vibration state analysis strategy is: The hydrodynamic data and the biofilm thickness on the diversion tunnel gate both have a positive effect on the vibration frequency; In the monitoring time period T of the current monitoring time period, the final vibration frequency of the diversion tunnel gate during the i1th storage monitoring is Qf1m1,i1, and the calculation formula is as follows: The control and adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate are: increase the biofilm thickness on the inner surface of the diversion tunnel gate in the monitoring time period T during the current m1th data collection by 20%; The control and adjustment measures for the biofilm thickness on the side wall of the diversion tunnel are: reducing the biofilm thickness on the side wall of the diversion tunnel by 15% in the monitoring time period T during the current m1th data collection; 1.2) When α3m1≥α3m1,th, and α4m1≥α4m1,th, the vibration state analysis strategy is: The hydrodynamic data has a positive effect on the vibration frequency, while the thickness of the biofilm on the diversion tunnel gate has a negative effect on the vibration frequency. In the monitoring time period T of the current monitoring time period, the final vibration frequency of the diversion tunnel gate during the i1th storage monitoring is Qf2m1,i1, and the calculation formula is as follows: The control and adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate are: maintain 16% of the biofilm thickness on the inner surface of the diversion tunnel gate in the monitoring time period T during the current m1th data collection; The control and adjustment measures for the biofilm thickness on the side wall of the diversion tunnel are: reducing the biofilm thickness on the side wall of the diversion tunnel in the monitoring time period T during the current m1th data collection to increase the intercepting area of ​​the water flowing through, thereby reducing the hydrodynamic data; 1.3) When α3m1<α3m1,th, and α4m1≥α4m1,th, the vibration state analysis strategy is: The hydrodynamic data and the biofilm thickness on the diversion tunnel gate both have a negative reducing effect on the vibration frequency; In the monitoring time period T of the current monitoring time period, the final vibration frequency of the diversion tunnel gate during the i1th storage monitoring is Qf3m1,i1, and the calculation formula is as follows: The control and adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate are: maintaining the biofilm thickness on the inner surface of the diversion tunnel gate in the monitoring time period T during the current m1th data collection; The control and adjustment measures for the biofilm thickness on the side wall of the diversion tunnel are: maintaining the biofilm thickness on the side wall of the diversion tunnel in the monitoring time period T during the current m1th data collection; 1.4) When α3m1<α3m1,th, and α4m1<α4m1,th, the vibration state analysis strategy is: The hydrodynamic data has a negative effect on the vibration frequency; the thickness of the biofilm on the diversion tunnel gate has a positive effect on the vibration frequency; In the monitoring time period T of the current monitoring time period, the final vibration frequency of the diversion tunnel gate during the i1th storage monitoring is Qf4m1,i1, and the calculation formula is as follows: The control and adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate are: increase the biofilm thickness on the inner surface of the diversion tunnel gate by 19% in the monitoring time period T during the current m1th data collection; The control and adjustment measures for the biofilm thickness on the side wall of the diversion tunnel are: maintaining the biofilm thickness on the side wall of the diversion tunnel within the monitoring time period T during the current m1th data collection.

10. A diversion tunnel gate vibration analysis device, characterized in that: The device is used to execute the diversion tunnel gate vibration real analysis method according to any one of claims 1 to 9, comprising: Data collection and preprocessing module: M data collections are performed in the current and previous monitoring cycles. The duration of each data collection is the monitoring time period T. In the monitoring time period T to which the current collection times belong, the biofilm thickness and growth rate of the biofilm layer on the side wall of the diversion tunnel, as well as the biofilm thickness on the inner surface of the diversion tunnel gate are monitored in real time, and the hydrodynamic data flowing through the diversion tunnel gate is monitored, and the hydrodynamic data includes velocity and pressure data; the vibration frequency of the diversion tunnel gate is collected, and these data are integrated into the central database for normalization processing; Impact result generation module: used to construct a bio-fluid-solid coupling model based on the pre-processed data using the finite element analysis method, where bio, fluid, and solid represent the biological part, the fluid part, and the solid part respectively; The biological-fluid-solid coupling model is used to perform data analysis in the current monitoring time period T of the corresponding monitoring cycle, and obtain the following first impact result, second impact result, third impact result and fourth impact result respectively; Real-time analysis of the first impact of the biofilm thickness and growth rate on the side wall of the diversion tunnel on the hydrodynamic data flowing through the diversion tunnel gate, and the first correlation adjustment coefficient is comprehensively formed; Based on the first impact result, the second impact result of the hydrodynamic data flowing through the diversion tunnel gate on the biofilm thickness on the inner surface of the diversion tunnel gate is analyzed in real time, and a second correlation adjustment coefficient is formed; Based on the first impact result, the third impact result of the hydrodynamic data flowing through the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a third correlation adjustment coefficient is formed; Based on the second impact result, a fourth impact result of the biofilm thickness on the inner surface of the diversion tunnel gate on the vibration frequency of the diversion tunnel gate is analyzed in real time, and a fourth correlation adjustment coefficient is formed; Strategy analysis module: used to comprehensively analyze the third impact result and the fourth impact result, generate a vibration state analysis strategy for determining the vibration degree of the diversion tunnel gate within the current monitoring time period T; and based on the vibration state analysis strategy, provide control adjustment measures for the biofilm thickness on the inner surface of the diversion tunnel gate and the side wall of the diversion tunnel.

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