Simulation test method and system capable of measuring erosion and deposition of pile group of long-pile wharf

Abstract

The invention discloses a simulation test method and system capable of measuring erosion and deposition of pile groups of a long-piled wharf, and belongs to the field of port engineering experiment equipment, and the system comprises a tidal current pool which is used for simulating the water flow environment of the long-piled wharf; the sand adding system is used for simulating a sand adding process and adding sand into the tidal current pool; the control system is used for controlling test parameters of the tidal current pool and the sand adding system; the pile group model is used for simulating different inclination angles of an actual high-pile wharf pile group; and the measuring system is used for recording flow velocity, suspended sediment concentration data between the piles and measuring surface terrain. According to the method, the problems of concentration control misalignment, data asynchronization and insufficient topographic measurement precision in the prior art are effectively solved, and powerful support is provided for design optimization and risk prevention and control of the long-piled wharf.

Description

Technical Field

[0001] The invention belongs to the technical field of port engineering experimental equipment, and in particular relates to a simulation test method and system capable of measuring the scouring and silting of pile groups at high-pile docks. Background Art

[0002] High-pile piers are crucial infrastructure in port projects, and their scouring and silting patterns directly impact their stability and service life. Accurately simulating the scouring and silting patterns of high-pile piers is crucial for optimizing project design and developing maintenance strategies. Currently, widely used scouring and silting experimental systems primarily simulate the interaction between water flow, sediment, and pier structures through physical models. Their core technologies include sediment supply control, hydrodynamic parameter measurement, and topographic change detection. Existing scouring and silting experimental systems suffer from several structural flaws, leading to serious technical issues. First, sediment concentration control is prone to inaccurate control, primarily because the sediment supply device lacks a real-time concentration feedback mechanism and relies on manual adjustment or preset programs, failing to accurately simulate the sediment transport patterns found in natural environments. Second, multi-parameter data asynchrony is a significant issue. This is attributed to the split-type control system used for the measurement equipment and the lack of hardware-synchronized triggering. This leads to misalignment between flow velocity and concentration data, reducing the reliability of experimental conclusions. Furthermore, topographic measurement accuracy is insufficient, primarily due to the oversized diameter of the sounding rod probe, which fails to capture the tiny scour pits surrounding the high piles, compromising project risk assessment. Finally, the inappropriate size of the velocity measurement probe affects flow velocity, distorting experimental data and failing to reflect realistic hydrodynamic conditions. These problems have severely restricted the scientific nature and engineering guidance value of the research on scouring and silting of high-pile docks, and an innovative experimental system with integrated closed-loop control and high-precision scanning is urgently needed. Summary of the Invention

[0003] In order to solve the above technical problems, the present invention proposes a simulation test method and system for measuring the scouring and silting of pile groups of high-pile docks, so as to solve the problems existing in the above-mentioned prior art.

[0004] To achieve the above-mentioned object, the present invention provides a simulation test method for measuring the scouring and silting of pile groups at high-pile wharfs, comprising:

[0005] Tidal pool, used to simulate the water flow environment of high-pile docks;

[0006] Adding sand system, used to simulate the adding sand process and add sand to the tidal pool;

[0007] A control system for controlling test parameters of the tidal pool and the sand-charging system;

[0008] The pile group model is used to simulate the actual pile groups of high-piled piers and the different inclination angles of the pile groups of high-piled piers;

[0009] The measurement system is used to record the flow velocity, suspended sediment concentration between piles and the topography of the measuring surface.

[0010] Optionally, the sand adding system is arranged at the inlet of the test area of ​​the tidal pool;

[0011] The sand adding system comprises: a stirring component, a turbidity meter, a sand adding bucket, a liquid level meter, an electric valve, a pipeline pump and a water pump.

[0012] Optionally, the measurement system is arranged on the upper part of the tidal pool, wherein the length of the measurement system is greater than or equal to the width of the tidal pool, and the measurement system is connected to the tidal pool via a three-dimensional positioning track;

[0013] The measuring system comprises an acoustic Doppler flowmeter, a concentration measuring device and a laser scanner.

[0014] Optionally, the control system includes: a flow meter, a frequency converter and a control unit;

[0015] Wherein, the flow meter is used to monitor the water flow in the flow generation system in real time;

[0016] The frequency converter is connected to the flow-generating water pump, and the frequency converter is used to adjust the speed of the flow-generating water pump to control the water flow rate;

[0017] The control unit is used to adopt a PID control algorithm to adjust the frequency of the frequency converter in real time according to the flow deviation detected by the flow meter to achieve stable control of the target flow, and optimize the flow regulation strategy by measuring the flow velocity data and suspended sediment concentration data fed back by the system.

[0018] The present invention also provides a method for simulating the scouring and silting of pile groups at high-pile docks, which is used to implement a system for simulating the scouring and silting of pile groups at high-pile docks. The method comprises the following steps:

[0019] Set the target flow rate and test parameters and start the flow test;

[0020] Obtain flow rate through the flow meter of the control system;

[0021] Adaptive control of the flow pump and the sand injection system is achieved using a PID algorithm based on the flow rate;

[0022] Based on the adaptive control of the flow pump and the sand adding system, the measurement system synchronously collects flow velocity data and suspended sediment concentration data between piles through the movement of the three-dimensional positioning guide rail;

[0023] When all measuring points are measured, stop generating flow and let the water stand, start the laser scanner to collect terrain and obtain the terrain simulation results.

[0024] Optionally, before starting the test, the method further includes: filling water into the tidal pool and debugging a flow-generating pump based on test requirements;

[0025] Among them, the water depth of the injection water is 0.8m.

[0026] Optionally, when the laser scanner is started to collect terrain, the probe of the laser scanner is 20-30 cm away from the pile top.

[0027] Compared with the prior art, the present invention has the following advantages and technical effects:

[0028] The high-pile wharf pile scouring and silting simulation test system and method of the present invention realizes high-precision simulation and measurement of the scouring and silting process of high-pile wharfs by integrating an advanced sand-adding system, a measurement system and a control system based on PID control. The sand-adding system adopts a closed-loop feedback mechanism, combined with a turbidity meter and a liquid level meter, to improve the sediment concentration control accuracy to ±5%, which is significantly better than traditional methods. In the measurement system, the acoustic Doppler flowmeter and the concentration measurement device synchronously collect flow velocity and suspended sediment concentration data, and cooperate with the three-dimensional positioning track to ensure the accuracy of data collection. After the test, the laser scanner performs a high-precision scan of the terrain, and the point cloud density reaches 500 points / cm 2 This technology reduces terrain scanning blind spots to less than 1%, providing a reliable basis for project risk assessment. This invention effectively addresses existing issues such as inaccurate concentration control, data asynchrony, and insufficient terrain measurement accuracy, providing strong support for high-pile wharf design optimization and risk prevention. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0030] Figure 1 This is a flow chart of a method for simulating the erosion and siltation of pile groups at high-piled docks according to an embodiment of the present invention;

[0031] Figure 2 This is a layout diagram of the flow control equipment according to an embodiment of the present invention;

[0032] Figure 3 This is the PID control algorithm model of the embodiment of the present invention;

[0033] Figure 4 This is a schematic diagram of the impact of the P value in an embodiment of the present invention;

[0034] Figure 5 This is a schematic diagram showing the influence of the I value in an embodiment of the present invention;

[0035] Figure 6 This is a schematic diagram showing the influence of the D value according to an embodiment of the present invention;

[0036] Figure 7 A top view of a system according to an embodiment of the present invention;

[0037] Figure 8 A front view of a system according to an embodiment of the present invention;

[0038] Figure 9 A side view of a system example implementing the present invention. DETAILED DESCRIPTION

[0039] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0040] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0041] Example 1

[0042] The present invention aims to provide a simulation test method for the scouring and silting of pile groups at high-pile docks. This method addresses core issues in existing technologies, such as inaccurate sediment concentration control, asynchronous multi-parameter data, and insufficient topographic measurement accuracy. The method provides a highly simulated experimental tool for port engineering, resolving the pain points of traditional systems, such as "simulation distortion and invalid data," and supporting the design optimization and risk prevention of high-pile docks.

[0043] like Figure 7-Figure 9 As shown, the present invention discloses a simulation test system for the scouring and silting of pile groups at high-pile docks, comprising a high-pile dock model, a sand-adding system, a concentration measurement device, an acoustic Doppler flowmeter, a three-dimensional scanner, a large-scale intelligent multifunctional tidal pool, and a pool flow generation system. The model test range is determined, an appropriate scale is selected, and water flow calibration is carried out. Pool water is added to the test water level. After the water level stabilizes, parameters are set based on representative flow elements. The water pump is debugged to ensure that the flow elements in the test pool meet the test requirements. Appropriate model sand is selected to assist in the test according to the test requirements. The present invention can more accurately simulate the scouring and silting changes of pile groups at high-pile docks, and more reasonably reflect the scouring and silting process of pile groups beneath high-pile docks under real water flow conditions.

[0044] like Figure 1 As shown, this embodiment provides a method for measuring the scouring and silting simulation test of pile groups at high-pile docks, including: a tidal pool for simulating the water flow environment of the high-pile dock; a sand adding system for simulating the sand adding process and adding sand to the tidal pool; a control system for controlling the test parameters of the tidal pool and the sand adding system; a pile group model for simulating different inclination angles of the actual high-pile dock pile group; and a measurement system for recording flow velocity, suspended sediment concentration data between piles, and surface topography.

[0045] The control system includes: a flow meter, a frequency converter and a control unit; wherein the flow meter is used to monitor the water flow in the flow-making system in real time; the frequency converter is connected to the flow-making water pump, and the frequency converter is used to adjust the speed of the flow-making water pump to control the water flow; the control unit is used to adopt a PID control algorithm to adjust the frequency of the frequency converter in real time according to the flow deviation detected by the flow meter to achieve stable control of the target flow, and optimize the flow regulation strategy by measuring the flow velocity data and suspended sediment concentration data fed back by the system.

[0046] Flow meter, measuring accuracy is 0.5%; frequency converter, control accuracy can reach 0.01HZ; through-flow water pump. Flow meter is installed on the pipeline to monitor the flow in the pipeline. Figure 2 shown.

[0047] Large-scale intelligent multifunctional tidal pool: Concrete waterproof layer structure, dimensions are 35.0m×6.0m×1.0m (length×width×depth). Two flow pumps are arranged at each end of the test pool, with a maximum flow of 0.768m 3 / s. Wave-breaking devices at both ends reduce water impact, and the pool can simulate unidirectional flow and tidal currents. The tidal pool includes a test area and a return corridor (forming a closed water loop).

[0048] Equipment configuration: A sand adding system is arranged at the inlet of the test area of ​​the large-scale intelligent multifunctional tidal pool; a high-pile dock model is installed in the middle of the test area of ​​the large-scale intelligent multifunctional tidal pool; a three-dimensional positioning track is arranged above the middle of the test area of ​​the large-scale intelligent multifunctional tidal pool, and a measurement subsystem is installed on the track.

[0049] Pile group model: Anti-rust treated steel pipes are welded to steel plates, and the different inclination angles of the actual high-pile wharf pile group are simulated. The actual terrain is then laid between the pile groups using sand and gravel according to the geometric scale.

[0050] Gaza System:

[0051] Stirring component: double propeller type (three blades φ300mm, speed 30-500rpm adjustable), material 316L stainless steel.

[0052] Turbidity meter: An optical turbidity meter is installed in the test pool.

[0053] Gaza barrel: cylindrical steel storage tank (volume 2m 3 ), a quantitative regulating valve is set at the bottom (regulation accuracy ±0.5L / min).

[0054] Liquid level meter: A liquid level meter is installed inside the barrel with an accuracy of 0.01m and a measuring range of 2m.

[0055] Electric valve: used to open and close the sand adding pipeline.

[0056] Pipeline pump: used to add the sand-containing water in the bucket to the pool.

[0057] Water pump: pumps water from the return corridor into the sand bucket, and can be used in conjunction with a liquid level gauge to keep the water level in the bucket constant.

[0058] Before the test begins, the concentration setting value c0 in the pool and the set water level h in the barrel are input into the system. When the turbidity meter monitors the concentration c < the setting value c0, the variable frequency pump output is increased.

[0059] Liquid level feedback compensation: The water inlet flow is adjusted by the proportional valve to make the water level fluctuation in the barrel ≤±5mm.

[0060] The sand-adding system uses 200mm D PVC pipes, connected via tees to both ends of the test tank. Several holes are located on the pipes to add sand to the water surface for simulated sand addition. A variable-frequency pump pumps water from the tank into the sand-adding bucket for replenishment. Automatic control and a level gauge maintain a constant water level within the bucket.

[0061] Measuring system:

[0062] Acoustic Doppler current meter (probe immersed in water): Acoustic Doppler probe, frequency 1.5MHz, measurement range ±5m / s, resolution 0.001m / s.

[0063] Concentration measurement device (probe into water): The probe into water is 2.5mm, with large range, fast sampling, multi-channel synchronous measurement, and its accuracy is 0.05kg / m 3 Before the test begins, it is necessary to calibrate multiple voltage values ​​of specified concentrations, and then generate a voltage-concentration curve through software fitting. During measurement, the voltage at the probe can be measured and the concentration between piles can be obtained through the curve.

[0064] Laser scanner (needs to be used in an anhydrous environment): wavelength 532nm, point cloud density ≥ 500 points / cm 2 , remote focus compensation system, after the test, slowly drain the water to a semi-dry state, the scanner probe should be 20-30cm away from the pile, start scanning, and slowly move the three-dimensional positioning guide to generate a three-dimensional image.

[0065] All modules are deployed in a large-scale intelligent multifunctional tidal pool. It supports simulation of unidirectional flow, tidal currents, and multiple concentration conditions, meeting the needs of complex engineering scenarios. The pile groups are arranged within the large-scale intelligent multifunctional tidal pool. A three-dimensional positioning rail, centered on the x, y, and z axes, can be moved to a specific position for measurement. The rail houses a measurement system (including a flow meter, concentration measurement device, and a 3D scanner). The measurement system is connected to a computer via a wired connection. A sand injection system is installed above the tidal pool. A tee connects two solenoid valves, each providing access to the two inlets for sand injection. Several sand injection holes are located along the cross-section of the sand injection pipe. The sand injection system and the large-scale intelligent multifunctional tidal pool access system are controlled collaboratively to generate a cyclic flow. The sand injection system automatically adds sand to the test pool as needed.

[0066] Example 2

[0067] like Figure 1 As shown, this embodiment provides a simulation test method for scouring and silting of pile groups at a high-pile wharf, comprising the following steps: setting a target flow rate and test parameters and starting a flow-generating test; obtaining a flow rate through a flow meter of a control system; implementing adaptive control of a flow-generating water pump and a sand-adding system using a PID algorithm based on the flow rate; based on the adaptive control of the flow-generating water pump and the sand-adding system, the measurement system synchronously collects flow velocity data and suspended sediment concentration data between piles through the movement of a three-dimensional positioning guide rail; when all measuring points have completed measurement, the flow generation is stopped and the water is allowed to stand, and a laser scanner is started to collect terrain data to obtain a terrain simulation result.

[0068] As a specific implementation of this embodiment, the following steps are included:

[0069] 1) Set the model geometry scale;

[0070] 2) Set up various components in the simulation system to simulate the pile group model and terrain of the high-pile wharf;

[0071] 3) Carry out water flow element calibration to obtain water flow conditions that meet the test requirements;

[0072] 4) Set up the high-pile wharf pile group test system, install the flow meter, concentration measurement device, and three-dimensional terrain scanner, and correctly connect them to the acquisition equipment (computer);

[0073] 5) Open the water inlet valve and add water to the test water depth of 0.8m;

[0074] 6) Set the suspended sediment concentration to 1 g / L. Before the test begins, enter the pool concentration setting value c0 in the system, and set the water level in the bucket to h = 0.2. Manually place several bags of model sand (later, as needed, the model sand can be changed to electric placement by installing a placement device);

[0075] 7) Turn on the axial flow pump and input the pre-set power to start the test;

[0076] 8) Use a velocity meter to record the flow velocity data, use a concentration measuring device to record the suspended sediment concentration data between piles, move the 3D positioning guide rail to the next measuring point and repeat this step;

[0077] 9) After the test, reset the guide rail and let it stand for 6 hours. After the suspended sand has settled, open the drain valve and slowly drain the water.

[0078] 10) Start the 3D scanner, scan the terrain, move the 3D positioning guide rail, move to the next measuring point and repeat this step;

[0079] 11) Complete the simulation test and obtain the flow rate, concentration, and terrain simulation results.

[0080] The test model scale λ is determined comprehensively based on factors such as the test site and specifications and standards. The normal model is adopted and the Froude number similarity design is adopted.

[0081] The water flow elements are calibrated by debugging the water pump to make the measured values ​​of the input conditions meet the test requirements.

[0082] This technical solution achieves high-precision simulation of scouring and silting of pile groups at elevated wharfs through a precision sensing system and real-time feedback control. Compared to traditional methods, this solution significantly improves concentration control accuracy and reduces terrain scanning blind spots to less than 1%. The accompanying flow chart and structure diagram fully demonstrate the coordinated working mechanism of each stage of the system.

[0083] The flow control method of this scheme adopts adaptive feedback loop flow generation. A high-precision external ultrasonic flow meter is installed in the flow generation experimental section to monitor the flow in the experimental section pipeline in real time. The flow meter data is transmitted to the controller in real time for feedback control through the PID algorithm, and the water pump speed is adjusted in real time to achieve the target flow rate adaptive stable flow generation.

[0084] The core components include: electromagnetic flowmeter measures the flow rate of the fluid in the pipeline in real time, which serves as the feedback signal source for closed-loop control. The flow rate measured by the electromagnetic flowmeter is used as the feedback value, and the PID algorithm is used to control the frequency of the frequency conversion, so that the water pump reaches the target flow rate and maintains stability. Figure 3 As shown in the figure, the PID controller calculates and outputs a control signal based on the deviation between the set flow rate and the actual flow rate to adjust the pump's operating parameters (such as speed and valve opening). The pump is an actuator that adjusts the fluid delivery rate based on the controller's output signal.

[0085] The control principle involves precise flow rate regulation through closed-loop feedback control. A flow meter collects real-time flow rate data and feeds it back to a PID controller. The controller compares the measured value with the setpoint and generates a control variable through proportional (P), integral (I), and differential (D) operations. This controller then drives the pump to adjust output, ultimately bringing the flow rate closer to the target value.

[0086] Implementation steps of PID algorithm in flow rate control:

[0087] (1) Parameter definition

[0088] Set point (SP): target flow rate (such as V set =10m / s).

[0089] Measured value (PV): The flow rate fed back by the flow meter in real time (such as V measured ).

[0090] Deviation (e): e = SP - PV.

[0091] (2) PID control quantity calculation

[0092] Continuous PID formula:

[0093] Proportional link (P): quickly responds to deviations and reduces steady-state errors, but too large a value can easily cause overshoot.

[0094] Integral link (I): Eliminate steady-state error and avoid response lag caused by integral saturation.

[0095] Differential link (D): predicts the deviation change trend, suppresses overshoot, and improves system stability.

[0096] (3) Discretization and engineering implementation

[0097] In practical applications, the continuous signal needs to be discretized (such as using a PLC or single-chip microcomputer), and the formula is rewritten as:

[0098]

[0099] Where T s is the sampling period, and iterative calculation is achieved through programming.

[0100] System workflow:

[0101] (1) Initialization. Set the target flow rate SP and initialize the PID parameters (K p ,K i ,K d ). Electromagnetic flowmeter calibration to ensure measurement accuracy.

[0102] (2) Real-time control loop.

[0103] Data acquisition: The flow meter periodically collects flow velocity PV (e.g., 10 times per second) and transmits it to the controller.

[0104] Deviation calculation: The controller calculates e=SP-PV.

[0105] PID regulation: Update the control quantity u(k) according to the deviation e and output it to the water pump drive device (such as the frequency converter to adjust the motor speed).

[0106] Execution and feedback: The water pump adjusts its operating status, and the flow meter collects the new flow rate again, entering the next control cycle.

[0107] (3) Parameter optimization. Use the Ziegler-Nichols method or trial and error method to adjust the PID parameters: first adjust the P parameter until the system oscillates with equal amplitude, and record the critical proportional coefficient K. u and period T u ; Calculate K according to the empirical formula p ,K i ,K d (Such as PI control: K p =0.45K u ,K i =K p / (0.83T u )).

[0108] Furthermore, when selecting and installing electromagnetic flowmeters, it is recommended to use high-precision, low-latency sensors (such as electromagnetic flowmeters and ultrasonic flowmeters). During installation, ensure that the flow is stable (away from elbows and valves) to avoid measurement errors.

[0109] Furthermore, the flow meter signal is filtered (e.g., first-order low-pass filtering) to suppress high-frequency noise, and the PID output amplitude is limited (e.g., 0-100% speed) to prevent the water pump from overloading.

[0110] Furthermore, dynamic response optimization can be achieved. Incomplete differentiation or differential-ahead algorithms can be introduced in the differential phase to avoid shocks caused by sudden changes in the setpoint. For systems with large lags (such as long pipelines), the Smith predictor can be combined to compensate for delays.

[0111] The proportional control element proportionally reflects the control system's deviation signal, e(t). If the current flow rate deviates from the set flow rate, the controller immediately applies control to the inverter to reduce the error. When the deviation, e, = 0, the control action is also 0; therefore, proportional control is based on the deviation, i.e., differential regulation.

[0112] The larger the P value, the faster the system responds. However, if the P value is too large, it is easy for the actuator to rush over the target value due to "inertia" when approaching the target, and then the system will suddenly reduce it to suppress it, resulting in oscillation. Figure 4 shown.

[0113] The integral link can memorize the error and is mainly used to eliminate the static error and improve the system's error-free degree. Its main function is to help the P link to adjust. The strength of the integral effect depends on the integral time constant Ti. The larger Ti is, the weaker the integral effect is, and vice versa. Figure 5 shown.

[0114] The I value is too large, and the adjustment force is too strong, which can easily cause overshoot. It takes several adjustments to return the flow rate to the set value, and oscillation will occur during this period.

[0115] The I value is too small, the adjustment force is too small, and the effect of helping P is not great, so it takes a long time to reach the set value;

[0116] The I value is appropriate, providing an appropriate force to help P, so that the current flow returns to the target value within a suitable time.

[0117] The differential link can reflect the changing trend (rate of change) of the deviation signal and can introduce an effective early correction signal into the system before the deviation signal value becomes too large, thereby speeding up the system's action speed and reducing the adjustment time.

[0118] The larger the D value is, the longer it takes to reach the target flow rate;

[0119] If the D value is too small, it will cause oscillation, and the actual flow rate will fluctuate around the target value, and the target value will be maintained slowly;

[0120] If the D value is appropriate, the flow rate will reach the target value quickly and will not fluctuate. Figure 6 shown.

[0121] This solution provides equipment that uses the aforementioned control algorithm to achieve adaptive and stable flow generation. This invention achieves high-precision flow velocity tracking (with an error within ±1%) through closed-loop control. Its PID algorithm is highly robust, adapting to variations in fluid viscosity, pipe resistance, and other parameters. Its high degree of automation reduces manual intervention and improves system reliability.

[0122] The present invention has the following technical effects:

[0123] (1) Improved concentration control accuracy: The closed-loop feedback system reduces the sediment concentration error from ±20% of the traditional scheme to ±5%, significantly improving the authenticity of the experiment. It is synchronized with the tide in real time and can also generate tide curves to achieve precise control of the tide sediment process.

[0124] (2) Large-scale high-pile wharf scouring and sedimentation test to better restore the on-site high-pile wharf layout and better restore the tidal and sediment conditions.

[0125] (3) Multifunctional applicability: supports unidirectional flow, tidal flow and multi-concentration working condition simulation to meet the needs of complex engineering scenarios.

[0126] The above are merely preferred embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A simulation test system for measuring the scouring and silting of pile groups at high-pile docks, characterized by: include: Tidal pool, used to simulate the water flow environment of high-pile docks; Adding sand system, used to simulate the adding sand process and add sand to the tidal pool; A control system for controlling test parameters of the tidal pool and the sand-charging system; The pile group model is used to simulate the actual pile groups of high-piled piers and the different inclination angles of the pile groups of high-piled piers; The measurement system is used to record the flow velocity, suspended sediment concentration between piles and the topography of the measuring surface.

2. The system according to claim 1, wherein: The sand-adding system is arranged at the inlet of the test area of ​​the tidal pool; The sand adding system comprises: a stirring component, a turbidity meter, a sand adding bucket, a liquid level meter, an electric valve, a pipeline pump and a water pump.

3. The system according to claim 1, wherein: The measurement system is arranged on the upper part of the tidal pool, wherein the length of the measurement system is greater than or equal to the width of the tidal pool, and the measurement system is connected to the tidal pool via a three-dimensional positioning track; The measuring system comprises an acoustic Doppler flowmeter, a concentration measuring device and a laser scanner.

4. The system according to claim 1, wherein: The control system includes: a flow meter, a frequency converter and a control unit; Wherein, the flow meter is used to monitor the water flow in the flow generation system in real time; The frequency converter is connected to the flow-generating water pump, and the frequency converter is used to adjust the speed of the flow-generating water pump to control the water flow rate; The control unit is used to adopt a PID control algorithm to adjust the frequency of the inverter in real time according to the flow deviation detected by the flow meter to achieve stable control of the target flow, and optimize the flow regulation strategy by measuring the flow velocity data and suspended sediment concentration data fed back by the system.

5. A simulation test method for measuring the scouring and silting of pile groups at high-pile docks, characterized in that: The method for implementing the measurable high-pile wharf pile group scouring and silting simulation test system according to claim 1 comprises the following steps: Set the target flow rate and test parameters and start the flow test; Obtain flow rate through the flow meter of the control system; Adaptive control of the flow pump and the sand injection system is achieved using a PID algorithm based on the flow rate; Based on the adaptive control of the flow pump and the sand adding system, the measurement system synchronously collects flow velocity data and suspended sediment concentration data between piles through the movement of the three-dimensional positioning guide rail; When all measuring points are measured, stop generating flow and let the water stand, start the laser scanner to collect terrain and obtain the terrain simulation results.

6. The method according to claim 5, characterized in that Before starting the test, the following steps are also included: filling the tidal pool with water and debugging the flow pump based on the test requirements; Among them, the depth of the injected water is 0.8m.

7. The method according to claim 5, characterized in that When the laser scanner is started to collect terrain, the probe of the laser scanner is 20-30 cm away from the top of the pile.

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