A gate management control system and method for noise reduction and shock absorption

Abstract

The application provides a gate management control system and method for noise reduction and shock absorption, which realizes dynamic optimization control of gate top pressure by integrating a multi-parameter monitoring component and an intelligent prediction model. The system obtains the gate lifting height and water flow impact speed in real time based on displacement sensors and flow rate sensors, constructs nonlinear characteristics in combination with fluid mechanics theory, accurately calculates the required ideal top pressure by using a neural network model, solves the poor adaptability problem of traditional empirical formula, and accurately applies pressure by a closed-loop control strategy of the hydraulic top pressure device. In cooperation with the real-time feedback of the pressure sensor, the target pressure value can be quickly converged, the gate vibration energy transmission is effectively inhibited, and the introduction of a three-dimensional visual model enhances the real-time perception ability of the gate state of the operation and maintenance personnel. Compared with the prior art, the application significantly improves the dynamic stability of the gate system under different working conditions, reduces the equipment maintenance cost, prolongs the service life, and has outstanding engineering application value.

Description

Technical Field

[0001] This invention relates to the field of gate control technology, and in particular to a gate management and control system and method for noise reduction and vibration damping. Background Technology

[0002] With the development of water conservancy projects, urban water supply systems, and flood control facilities, the operational stability and reliability of gates, as important flow control devices, have received widespread attention. Traditional gate management and control systems mainly rely on mechanical locking devices or fixed support structures to maintain the gate position. However, in actual operation, the vibration and noise problems caused by water flow impact are becoming increasingly prominent. Especially during the flood season or under high flow conditions, the dynamic impact force of water flow on the gate can cause periodic collisions between the gate and the guide rail. This not only generates high-decibel noise but also accelerates the wear of seals and may even cause structural fatigue damage, seriously threatening the long-term safe operation of the gate.

[0003] Existing noise reduction and vibration damping technologies mostly employ passive damping solutions, such as adding rubber damping pads to the sides of the gate or optimizing the gate's structural stiffness. While these methods can alleviate some vibration, their damping effect is limited by preset parameters and cannot adapt to dynamic conditions such as changes in water flow velocity and gate opening. Furthermore, some advanced systems attempt to introduce hydraulic jacking devices for active control, but existing hydraulic control strategies largely rely on empirical formulas or static mechanical models, making it difficult to accurately match the real-time changes in impact force requirements. For example, when the gate lifting height changes, the nonlinear relationship between the impact area and the water flow impact force is not effectively modeled, leading to delayed or excessive jacking pressure adjustment, which in turn exacerbates the accumulation of vibration energy. Simultaneously, traditional monitoring systems often only collect single parameters (such as pressure or displacement) and lack multi-sensor data fusion mechanisms, limiting the response accuracy of the control system.

[0004] Therefore, how to construct a gate management and control system capable of real-time sensing of operating parameters, dynamic prediction of optimal top pressure, and precise execution of control has become a key technical bottleneck in solving the gate vibration and noise problem. Especially in complex fluid dynamic environments, how to establish a high-precision top pressure prediction model and achieve multi-parameter coordinated control is a technical challenge that urgently needs to be overcome in this field. Summary of the Invention

[0005] The purpose of this invention is to provide a gate management and control system and method for noise reduction and vibration damping, so as to solve the problems existing in the prior art.

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] This invention provides a gate management and control system for noise reduction and vibration damping, comprising:

[0008] The gate body, the top of which is connected to the lifting device;

[0009] A hydraulic jacking device is disposed on the side of the gate body;

[0010] A monitoring component is disposed on the gate body;

[0011] A control platform is established to communicate with the hydraulic jacking device and the monitoring component, respectively, and is used to control the jacking pressure of the hydraulic jacking device on the gate body according to the monitoring data collected by the monitoring component.

[0012] Preferably, the side of the gate body is provided with shock-absorbing pads.

[0013] Preferably, the hydraulic pressing device includes a hydraulic cylinder, which is disposed on the side of the gate body. The power end of the hydraulic cylinder is provided with a pressing plate. The hydraulic cylinder is connected to the oil pumping equipment through an oil circuit, and the oil pumping equipment establishes communication with the control platform.

[0014] Preferably, the monitoring component includes a displacement sensor, a flow velocity sensor, and a pressure sensor. The displacement sensor and the flow velocity sensor are both disposed on the gate body and are used to collect the lifting height of the gate body and the flow velocity of the water impacting the gate body, respectively. The pressure sensor is disposed on the surface of the top pressure plate and is used to collect the pressure pressing on the gate body.

[0015] The present invention also provides a gate management and control method for noise reduction and vibration damping, comprising the following steps:

[0016] S1. Construct a top pressure prediction model and store it on the control platform;

[0017] S2. The displacement sensor collects the lifting height of the gate body, the flow velocity sensor collects the flow velocity of the water impacting the gate body, and uploads the data to the control platform. The control platform calculates the impact area of ​​the gate body based on the lifting height of the gate body.

[0018] S3. The control platform calculates the ideal top pressure required to top pressure the gate body based on the water flow velocity impacting the gate body and the impact area of ​​the gate body using the top pressure prediction model;

[0019] S4. The control platform controls the operation of the oil pumping equipment. The hydraulic cylinder applies top pressure to the gate body. The pressure sensor monitors the current top pressure in real time. When the current top pressure equals the ideal top pressure, the oil pumping equipment stops running, and the hydraulic cylinder maintains the current top pressure state.

[0020] Preferably, step S1 includes:

[0021] S11. Data Acquisition;

[0022] S12. Data processing;

[0023] S13. Model Building;

[0024] S14. Model training.

[0025] Preferably, step S11 specifically involves: designing a gate top pressure simulation experiment, simulating different gate operating conditions in a fluid dynamics experimental tank, and measuring the minimum pressure value required to prevent the gate from vibrating by adjusting the impact area of ​​the gate and the water flow velocity, obtaining 1000 sets of experimental data, wherein the adjustment range of the impact area of ​​the gate is 0.1-2m. 2 The water flow velocity can be adjusted within the range of 1-10 m / s.

[0026] Preferably, step S12 specifically involves: using a moving average filter to eliminate noise and cleaning the pressure values; the cleaned data is as follows: Where N represents the sampling points; nonlinear characteristics are constructed based on fluid dynamics theory: Where A is the impact area of ​​the gate and V is the water flow velocity; the input features are Z-score standardized: , where μ is the characteristic mean and σ is the characteristic standard deviation.

[0027] Preferably, step S13 specifically involves: constructing a top pressure prediction model based on a neural network method, wherein the input layer consists of the gate's impact area A and the water flow velocity V, and the hidden layer comprises two fully connected networks, each with 64 nodes, respectively. , The output layer is , where W is the weight matrix, b is the bias vector, and ReLU is the nonlinear activation function.

[0028] Preferably, it also includes: S5. The control platform constructs a three-dimensional model of the gate body and displays the monitoring data and top pressure status in the three-dimensional model.

[0029] The present invention achieves the following beneficial technical effects compared to the prior art:

[0030] This invention provides a gate management and control system and method for noise reduction and vibration damping. By integrating multi-parameter monitoring components and an intelligent prediction model, it achieves dynamic optimization control of the gate top pressure. The system uses displacement and flow velocity sensors to acquire the gate lifting height and water flow impact velocity in real time. Combining fluid mechanics theory to construct nonlinear characteristics, it uses a neural network model to accurately calculate the required ideal top pressure, solving the problem of poor adaptability of traditional empirical formulas. The hydraulic jacking device applies pressure precisely through a closed-loop control strategy. With real-time feedback from pressure sensors, it can quickly converge to the target pressure value, effectively suppressing the transmission of gate vibration energy. The introduction of a three-dimensional visualization model enhances the real-time perception of the gate status by maintenance personnel. Compared with existing technologies, this invention significantly improves the dynamic stability of the gate system under different operating conditions, reduces equipment maintenance costs, and extends service life, demonstrating outstanding engineering application value. Attached Figure Description

[0031] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0032] Figure 1 This is a schematic diagram of the gate management and control system used for noise reduction and vibration damping in this invention;

[0033] In the diagram: 1: Gate body, 2: Lifting equipment, 3: Hydraulic jacking device, 31: Hydraulic cylinder, 32: Jacking plate, 33: Oil circuit, 34: Oil pumping equipment, 4: Vibration damping pad. Detailed Implementation

[0034] 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 some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] The purpose of this invention is to provide a gate management and control system and method for noise reduction and vibration damping, so as to solve the problems existing in the prior art.

[0036] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0037] Example 1:

[0038] This embodiment provides a gate management and control system for noise reduction and vibration damping, such as... Figure 1 As shown, it includes:

[0039] Gate body 1, the top of gate body 1 is connected to lifting device 2; in this embodiment, gate body 1 and lifting device 2 are both components in the prior art;

[0040] The hydraulic jacking device 3 is located on the side of the gate body 1; it can be fixed to the concrete wall on the side of the gate body 1.

[0041] Monitoring components are installed on the gate body 1;

[0042] The control platform establishes communication with the hydraulic jacking device 3 and the monitoring component, respectively, and is used to control the jacking pressure of the hydraulic jacking device 3 on the gate body 1 based on the monitoring data collected by the monitoring component.

[0043] As one implementation, the side of the gate body 1 is provided with shock-absorbing pads 4, which can be made of elastic rubber material, so as to avoid the gate body 1 directly rigidly contacting the gate frame after being pressed. However, in order to avoid hindering the lifting and lowering of the gate body, they should not be too thick. In this embodiment, the shock-absorbing pads 4 have a diameter of 5cm and a thickness of 1cm, and are set at the four corners of the rear side of the gate body 1.

[0044] In one embodiment, the hydraulic pressing device 3 includes a hydraulic cylinder 31, which is located on the side of the gate body 1. The power end of the hydraulic cylinder 31 is provided with a pressing plate 32. The hydraulic cylinder 31 is connected to the oil pumping device 34 through the oil circuit 33. The oil pumping device 34 establishes communication with the control platform. By using the oil pumping device 34 to drive the hydraulic cylinder 31 to push out, the gate body 1 can be pressed down, thus preventing it from vibrating and making noise due to the impact of water flow.

[0045] In one implementation, the monitoring components include a displacement sensor, a flow velocity sensor, and a pressure sensor. The displacement sensor and the flow velocity sensor are both mounted on the gate body 1 and are used to collect the lifting height of the gate body 1 and the flow velocity of the water impacting the gate body 1, respectively. The pressure sensor is mounted on the surface of the top pressure plate 32 and is used to collect the pressure on the top pressure gate body 1. In this embodiment, the sensors need to take waterproof performance into consideration and all adopt industrial-grade passive sensors, which can wirelessly transmit data, thereby adapting to the underwater environment.

[0046] This embodiment also provides a gate management and control method based on the above system for noise reduction and vibration damping, including the following steps:

[0047] S1. Construct a top pressure prediction model and store it on the control platform; including:

[0048] S11. Data Acquisition; Since there is no precedent for the system in this application, the data used in this embodiment is laboratory data. Specifically, a gate top pressure simulation experiment was designed, and different gate operating conditions were simulated in a fluid dynamics experimental tank. By adjusting the impact area of ​​the gate and the water flow velocity, the minimum pressure value required to prevent the gate from vibrating was measured, resulting in 1000 sets of experimental data. The adjustment range of the impact area of ​​the gate was 0.1-2m. 2 The water flow velocity can be adjusted within the range of 1-10 m / s;

[0049] S12. Data Processing; Specifically: Moving average filtering is used to eliminate noise and clean the pressure values. The cleaned data is as follows: Where N represents the sampling points, it should be understood that only the top pressure is measured during the experimental phase, therefore only the top pressure data needs to be cleaned; nonlinear characteristics are constructed based on fluid mechanics theory: Where A is the impact area of ​​the gate and V is the water flow velocity; the input features are Z-score standardized: Where μ is the characteristic mean and σ is the characteristic standard deviation;

[0050] S13. Model Construction; Specifically, a top pressure prediction model is constructed based on a neural network method. The input layer consists of the impact area A of the gate and the water flow velocity V. The hidden layer comprises two fully connected network layers, each with 64 nodes. , The output layer is Where W is the weight matrix, b is the bias vector, ReLU is the non-linear activation function, and the number in parentheses is the layer number;

[0051] S14. Model training;

[0052] By introducing a model, a basis for subsequent control is provided, and the required ideal top pressure is accurately calculated using a neural network model, thus solving the problem of poor adaptability of traditional empirical formulas.

[0053] S2. The displacement sensor collects the lifting height of the gate body 1, the flow velocity sensor collects the water flow velocity impacting the gate body 1, and uploads the data to the control platform. The control platform calculates the impact area of ​​the gate body 1 based on the lifting height of the gate body 1.

[0054] S3. The control platform calculates the ideal top pressure required for the top pressure gate body 1 based on the water flow velocity and the impact area of ​​the gate body 1 using the top pressure prediction model.

[0055] S4. The control platform controls the operation of the oil pumping equipment 34, the hydraulic cylinder 31 applies top pressure to the gate body 1, the pressure sensor monitors the current top pressure in real time, until the current top pressure equals the ideal top pressure, the oil pumping equipment 34 stops running, the hydraulic cylinder 31 maintains the current top pressure state;

[0056] S5. The control platform constructs a three-dimensional model of the gate body 1, and displays the monitoring data and pressure status in the three-dimensional model, so as to facilitate the manager's viewing.

[0057] This invention has illustrated its principles and implementation methods using specific examples. The descriptions of these embodiments are merely illustrative of the method and its core ideas; furthermore, those skilled in the art will recognize that modifications may be made to the specific implementation methods and application scope based on the principles of this invention. Therefore, the content of this specification should not be construed as limiting the invention.

Claims

1. A gate management and control method for noise reduction and vibration damping, characterized in that: Based on a gate management and control system for noise reduction and vibration damping, the system includes: Gate body (1), the top of which is connected to lifting device (2); A hydraulic pressing device (3) is provided on the side of the gate body (1); the hydraulic pressing device (3) includes a hydraulic cylinder (31), which is provided on the side of the gate body (1). The power end of the hydraulic cylinder (31) is provided with a pressing plate (32). The hydraulic cylinder (31) is connected to the oil pumping device (34) through an oil circuit (33). The oil pumping device (34) establishes communication with the control platform. The monitoring component includes a displacement sensor, a flow rate sensor, and a pressure sensor; The control platform establishes communication with the hydraulic jacking device (3) and the monitoring component respectively, and is used to control the jacking pressure of the hydraulic jacking device (3) on the gate body (1) according to the monitoring data collected by the monitoring component; The gate management and control method for noise reduction and vibration damping includes the following steps: S1. Construct a top pressure prediction model and store it on the control platform; S2. The displacement sensor collects the lifting height of the gate body (1), the flow velocity sensor collects the water flow velocity impacting the gate body (1), and uploads the data to the control platform. The control platform calculates the impact area of ​​the gate body (1) based on the lifting height of the gate body (1). S3. The control platform calculates the ideal top pressure required to top pressure the gate body (1) based on the water flow velocity impacting the gate body (1) and the impact area of ​​the gate body (1) using the top pressure prediction model. S4. The control platform controls the operation of the oil pumping equipment (34), the hydraulic cylinder (31) applies top pressure to the gate body (1), the pressure sensor monitors the current top pressure in real time, until the current top pressure equals the ideal top pressure, the oil pumping equipment (34) stops running, and the hydraulic cylinder (31) maintains the current top pressure state.

2. The gate management and control method for noise reduction and vibration damping according to claim 1, characterized in that: The side of the gate body (1) is provided with shock-absorbing pads (4).

3. The gate management and control method for noise reduction and vibration damping according to claim 2, characterized in that: The displacement sensor and the flow velocity sensor are both installed on the gate body (1) and are used to collect the lifting height of the gate body (1) and the water flow velocity impacting the gate body (1), respectively. The pressure sensor is installed on the surface of the top pressure plate (32) and is used to collect the pressure pressing on the gate body (1).

4. The gate management and control method for noise reduction and vibration damping according to claim 1, characterized in that: Step S1 includes: S11. Data Acquisition; S12. Data processing; S13. Model Building; S14. Model training.

5. The gate management and control method for noise reduction and vibration damping according to claim 4, characterized in that: The step S11 is specifically: designing a gate top pressure simulation experiment, simulating different gate working conditions in a fluid mechanics experimental water tank, adjusting the gate impact area and the water flow velocity, measuring the minimum pressure value required for the gate not to vibrate, and obtaining 1000 groups of experimental data, wherein the adjustment range of the gate impact area is 0.1-2m 2 , and the adjustment range of the water flow velocity is 1-10m / s.

6. The gate management and control method for noise reduction and vibration damping according to claim 4, characterized in that: Step S12 specifically involves: using a moving average filter to remove noise and cleaning the pressure values. The cleaned data is as follows: Where N is the number of sampling points; Constructing nonlinear characteristics based on fluid mechanics theory: Where A is the impact area of ​​the gate and V is the water flow velocity; the input features are Z-score standardized: , where μ is the characteristic mean and σ is the characteristic standard deviation.

7. The gate management and control method for noise reduction and vibration damping according to claim 4, characterized in that: Step S13 specifically involves: constructing a top pressure prediction model based on a neural network method, where the input layer consists of the gate's impact area A and the water flow velocity V, and the hidden layer comprises two fully connected networks, each with 64 nodes. , The output layer is , where W is the weight matrix, b is the bias vector, and ReLU is the nonlinear activation function.

8. The gate management and control method for noise reduction and vibration damping according to claim 1, characterized in that: Also includes: S5. The control platform constructs a three-dimensional model of the gate body (1) and displays the monitoring data and top pressure status in the three-dimensional model.

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