Tidal area underlay gate door bed erosion parameter optimization method and system

Abstract

This invention discloses a method and system for optimizing the scouring and sedimentation parameters of a horizontal gate bed in tidal areas. The method includes: acquiring gate bed topographic data, tidal forecast data, water level data, and sedimentation monitoring data for the tidal area; generating a sedimentation distribution heatmap of the gate bed based on the fan-shaped scouring and sedimentation units of the gate; setting flow distribution parameters for each scouring opening of the gate; controlling the water level potential energy before and after the gate based on the tidal head difference between the upstream and downstream gates using tidal forecast data; obtaining the pulse scouring sequence for each fan-shaped scouring and sedimentation unit based on the water level potential energy and flow distribution parameters; performing segmented scouring and sedimentation on the gate based on the pulse scouring sequence; and globally optimizing the scouring and sedimentation parameters using a particle swarm genetic hybrid algorithm to obtain optimized scouring and sedimentation parameters. This method utilizes head difference control, high-flow scouring, and segmented relay coordination, matching scouring and sedimentation strategies and parameters based on the sedimentation heatmap, and performing global optimization using a particle swarm genetic hybrid algorithm, adapting to the complex conditions of bidirectional water flow in tidal areas.

Description

Technical Field

[0001] This invention relates to the field of scouring and sedimentation, and more particularly to a method and system for optimizing scouring and sedimentation parameters of a horizontal gate bed in tidal areas. Background Technology

[0002] Estuaries and nearshore tidal areas are rich in water resources and have significant navigational value. Tide gates are commonly used to achieve functions such as tide control, freshwater storage, flood control, and drainage. Among these, the horizontally positioned gates have large discharge capacity, flexible opening and closing, and when opened, lie flat on the gate bottom plate, level with the riverbed, hardly affecting flood control and navigation. They are widely used in water conservancy projects. In tidal waters, the water flow is periodic, with a large amount of suspended sediment entering the area downstream of the gate. When the gate is closed to block the tide, the relatively still water environment causes sediment to continuously deposit below and around the gate, with the siltation height increasing year by year, leading to siltation. The resistance to opening and closing the gate increases significantly or even makes it impossible to open. Therefore, horizontal gates are often equipped with flushing equipment to flush the silt effectively and regularly, so that the gate can operate safely, flexibly and easily. The flushing system usually uses high-pressure nozzles to impact the silt in front of the gate or in the channel, disturbing the silt and reducing the adhesion of the silt to the structure. Then, the water flow formed after the gate is opened is used to remove the silt, or the high-pressure water jet from the nozzles is used to spray water onto the riverbed, causing the accumulated silt to be lifted and suspended. Then, the natural flow velocity of the river channel is used to transport it to the downstream channel, thereby achieving the purpose of dredging.

[0003] Commonly used pressure flushing is mainly suitable for situations where there is no water downstream or the water depth is shallow. It mainly relies on the water level difference between upstream and downstream or tidal flushing. After the construction of the sluice gate, the upstream runoff decreases and the water head decreases. In addition, the downstream side of the tidal area is deep all year round, resulting in insufficient flushing power and unsatisfactory flushing effect. While active dredging methods such as manual dredging and motorized towing can achieve short-term results, the siltation speed is fast, requiring frequent repetition, which consumes manpower and resources and is prone to damaging the bottom water ecological environment. The flushing method using low flow and high head jet has a rapid decay of jet energy, which is weak in agitating the bottom silt and has low dredging efficiency. In addition, the existing technology lacks automated control methods and cannot effectively adjust the flushing timing according to the tide. Moreover, the operation and maintenance costs of flushing equipment and gates are high. How to optimize and adjust the flushing parameters to meet the development needs of modern water conservancy management that is energy-saving, efficient and environmentally friendly has become an urgent problem to be solved. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas.

[0005] To achieve the above objectives, the present invention is implemented according to the following technical solution: The first aspect of this invention provides a method for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas, comprising: Acquire topographic data of the gate bed, tidal forecast data, water level data and sedimentation monitoring data of the tidal area, and divide the area downstream of the gate into fan-shaped scour and sedimentation units based on the gate bed topographic data; Based on the siltation monitoring data of the fan-shaped flushing and siltation unit, a heat map of siltation distribution in the gate bed is generated to obtain the siltation thickness threshold. The flow distribution parameters of each flushing port of the gate are then set according to the thickness threshold. Based on the water level data, a tidal head difference mapping between the upstream and downstream gates is constructed using tidal forecast data. According to the head difference mapping, the water level potential energy before and after the gates is controlled in layers through a three-stage water level regulating chamber. Based on the water level potential energy and flow distribution parameters, a partitioned relay coupling matrix is ​​established using the Petri net dynamic scheduling algorithm to obtain the pulse flushing sequence of each sector-shaped scouring and silting unit; The gate is subjected to segmented flushing and siltation based on the pulse flushing sequence, and the flushing efficiency index is calculated. The flushing efficiency index is then used to perform global optimization of the flushing and siltation parameters through a particle swarm genetic hybrid algorithm to obtain the optimized flushing and siltation parameters.

[0006] Furthermore, the method for obtaining the fan-shaped silt-removing unit includes: Laser scanning data, sonar detection data, tide forecast data, sedimentation sampling data, and water level data at various upstream and downstream points of the gate in the tidal area were acquired. Based on the laser scanning data, the topography of the gate bed was divided into density grids. The elevation, plane coordinates, and topographic slope of the gate bed were labeled on the density grids according to the laser scanning data. Noise filtering and null value interpolation were performed on the density grid data to obtain a three-dimensional topographic model of the gate bed. Based on the three-dimensional terrain model of the gate bed, the area within 50m downstream of the gate is divided into 8 fan-shaped scouring and silting units. Each fan-shaped scouring and silting unit is equipped with an independent flow control valve group and pressure sensor. The sonar detection data includes Doppler water flow velocity and siltation layer thickness data within the fan-shaped scouring and silting unit. The siltation layer thickness data and siltation sampling data are used as siltation monitoring data. The tidal forecast data includes tidal level, tidal flow velocity and tidal time sequence data. The water level data are water level values ​​and water level time sequence curves obtained by radar water level gauges and pressure water level gauges.

[0007] Furthermore, a method for obtaining a flow control valve assembly includes: Based on the sedimentation monitoring data of the fan-shaped flushing unit, the flushing port in the area with sedimentation thickness greater than 1.5 meters is configured as a counter-flushing dual nozzle, and the flushing angle of the counter-flushing dual nozzle is set to 120 degrees. The flushing port in the area with sedimentation thickness of 0.5 to 1.5 meters is configured as a rotary single nozzle, and the rotation speed of the rotary single nozzle is set to 120 revolutions per minute. The flushing port in the weak flushing zone at the root of the gate groove is configured as a directional pulse nozzle, and the frequency of the directional pulse nozzle is set to 50 Hz. The flushing nozzle is configured with 16 sets of variable aperture nozzles, and the nozzle diameter is adjustable in the range of 10 to 150 mm. The nozzle is made of 316L stainless steel.

[0008] Furthermore, the method for obtaining the traffic allocation parameters includes: Based on the siltation monitoring data obtained from the fan-shaped siltation unit, the mean siltation thickness, maximum siltation thickness and spatial distribution variance within the unit are calculated according to the siltation monitoring data to obtain siltation characteristic data. GIS tools are used to visualize the siltation characteristic data and gradient color levels of each unit to obtain a heat map of siltation distribution in the gate bed. Based on the heat map of the siltation distribution of the door bed, thickness thresholds are defined. The high siltation threshold is greater than or equal to 1.5 meters, and the normal siltation threshold is 0.5 to 1.5 meters. The remaining areas outside the high siltation threshold and the normal siltation threshold are defined as weak scour zones. 60% of the main flow is pre-allocated to the high siltation threshold area, 30% of the main flow is pre-allocated to the normal siltation threshold area, and 10% of the main flow is pre-allocated to the weak scour zones. The critical flow rate is calculated for the flushing inlet of the fan-shaped flushing unit, and the formula for the critical flow rate is: ; in For the first One flushing port in The critical effective flushing flow rate at a given moment. For the first The flow coefficient of each flushing nozzle is obtained from the flow control valve assembly. For the first The flow area of ​​each flushing nozzle is obtained based on the nozzle orifice diameter data collected by the gate opening sensor. The density of the flushing fluid, It is the acceleration due to gravity. For the first A fan-shaped scouring and silting unit in The water level at that moment, for The additional outlet pressure of the variable frequency water pump is obtained based on the outlet pressure of the variable frequency water pump collected by the pressure sensor. For the first In each region Doppler water flow velocity at any given time This is the flow rate correction factor. For the first In each region The siltation state correction coefficient at any given time is obtained from the siltation sampling data; The sum of the critical flow rates of the fan-shaped flushing and silting units is compared with the pre-allocation ratio of the main flow rate. If the pre-allocation of the main flow rate is greater than or equal to the sum of the critical flow rates, the pre-allocation of the main flow rate is maintained. If the pre-allocation of the main flow rate is less than the sum of the critical flow rates, the high siltation threshold area is preferentially supplemented to the pre-allocation ratio of the main flow rate so that the total allocated main flow rate of the area is greater than or equal to the sum of the critical flow rates, thereby obtaining the flow allocation parameters of each flushing outlet.

[0009] Furthermore, the method for obtaining the water level potential energy includes: Based on water level data, the water level time series curves upstream and downstream of the gate are matched with tidal forecast data in time and space according to timestamps to generate a tidal head difference mapping model. The tidal head difference mapping model is labeled with the head difference intervals corresponding to different tidal times, including the early stage of high tide, the slack tide, and the late stage of low tide. According to the tidal head difference mapping model, the water level potential energy is controlled in layers by setting up three-stage water level regulating chambers upstream and downstream of the gate. Based on the tidal head difference mapping model, the downstream gate is closed when the tide level reaches 80% of the high tide level at the end of the high tide to obtain a top head difference of 0.8 to 1.5 meters. When the tide level drops to 20% of the low tide level at the beginning of the low tide, the upstream gate is quickly opened to obtain an instantaneous head difference of 2.0 to 3.5 meters. The primary chamber set up according to the upstream gate raises the water level by 0.5 to 1.0 meters through a variable frequency water pump to obtain pre-stored potential energy. The buffer chamber set up according to the gate section maintains a stable head difference through a pneumatic balancing valve group. The stable head difference fluctuation range is less than or equal to 0.1 meters. The impact chamber set up according to the downstream gate drops the water level from 0 to 2.5 meters within 30 seconds through a fast opening and closing valve.

[0010] Further, the method for obtaining the pulse flushing sequence includes: Based on the acquisition of water level potential energy and flow distribution parameters by fan-shaped scouring and sedimentation units, the fan-shaped scouring and sedimentation units are set as unit reservoirs, water level potential energy is set as potential energy reservoirs, and flow distribution parameters are set as flow reservoirs. Petri nets are constructed based on the unit reservoirs, potential energy reservoirs, and flow reservoirs. Potential energy reservoirs are used as triggering transition conditions, and flow reservoirs are used as group transition conditions. The unit reservoirs are associated according to the transition conditions to obtain scouring groups. Based on the scouring groups, the scouring sequence is defined by the transition trigger interval of the Petri net. If the start interval between adjacent fan-shaped scouring and sedimentation units is greater than or equal to 2 minutes and the continuous scouring duration of the same unit is less than or equal to 25 minutes, the scouring stage transition is triggered to obtain the scouring sequence. Using the flow allocation parameters, the flushing timing and flushing groups are bound in tabular form to obtain the partitioned relay coupling matrix. Based on the partitioned relay coupling matrix, the pulse flushing sequence of each sector flushing unit is calculated using the wave propulsion control function. The pulse flushing sequence includes the first flush, the second flush, and the last flush.

[0011] Furthermore, the method for obtaining the wave propulsion control function includes: The flushing group includes an upstream unit and a downstream unit. Based on the sedimentation monitoring data of the upstream unit, a pre-flushing stage and a strong flushing stage are matched. According to the matching stage, the flushing flow rate of the first flush is set to 30% to 80% of the design flow rate and lasts for 15 minutes. According to the second flush, the flushing flow rate of the upstream unit is reduced to 50% of the design value, and the downstream unit is started simultaneously to obtain a relay flushing zone. The downstream unit corresponds to the flow rate ratio of the pre-flushing stage and the strong flushing stage. According to the final flush, the flushing flow rate of the entire area fan-shaped sludge flushing unit is increased to 120% of the design flow rate and lasts for 10 minutes. During the pre-flushing phase, the surface sediment of the current starting unit is flushed at a low speed of 30% of the design flow rate for 5 to 10 minutes. During the strong flushing phase, the flushing flow rate is increased to 80% of the design flow rate, and the sediment is cut with a high-speed jet for 15 to 20 minutes. During the dredging phase, the flushing flow rate is maintained at 50% of the design flow rate for 10 to 15 minutes. The flushed suspended sediment is then carried to the deep channel downstream of the gate by the relay flushing belt, where the design flow rate is 50 m³ / h. 3 / s; Based on the partitioned relay coupling matrix, the scour flow rate and scour groups are obtained. According to the scour groups and scour flow rate, the pulse scour sequence of each sector-shaped scour unit is calculated using a wave propulsion control function. The formula for the wave propulsion control function is: ; in Spatial coordinates The area, in time Real-time scouring intensity To flush out the groups, For the first Round-robin flushing flow This is a Heaviside step function. The function evaluates to 1 when the expression within the parentheses is ≥ 0, triggering the flush; otherwise, it evaluates to 0 and no flush occurs. To correspond to the scour window of the tidal cycle, the spatial coordinates of the current scour point are obtained from the tidal head difference mapping model, based on the 3D terrain model of the sluice gate. For the propagation speed of the scour wave, For the first The interval between the flushing cycles. The spatial attenuation coefficient, For the first The center coordinates of the wheel scour group are obtained based on the fan-shaped scour and sedimentation unit.

[0012] Furthermore, the method for obtaining the optimized flushing and silting parameters includes: The fan-shaped flushing unit is subjected to segmented flushing based on a pulse flushing sequence. A hydraulic turbine generator is installed downstream of the gate. 15% to 20% of the flushing energy is recovered through the hydraulic turbine generator based on the flushing flow rate. The flushing efficiency index is calculated based on the flushing energy consumption of each segment. The formula for calculating the flushing efficiency index is as follows: ; in To improve efficiency, The current siltation volume is obtained based on siltation monitoring data. This represents the scouring energy consumption for the current section. The flushing flow rate for the current segment is obtained based on the flow allocation parameters. The tidal head difference corresponding to the current segment is obtained through the tidal head difference mapping model. This refers to the flushing sequence of the current segment; If the flushing efficiency index is greater than or equal to the preset target value, the flushing efficiency meets the standard. If it is less than the preset target value, the flushing flow rate, head difference, flushing time, sediment volume, and flushing energy consumption are used as flushing parameters. Based on the flushing parameters, a particle swarm genetic hybrid algorithm is used for global optimization. The particle swarm algorithm is used to quickly search for the optimal solution range of the flushing parameters. Based on the optimal solution range, the flushing parameters are cross-linked and mutated using a genetic algorithm to iteratively optimize them until they are greater than or equal to the preset target value, thus obtaining the optimized flushing parameters.

[0013] A second aspect of the present invention provides a system for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas, comprising: Data acquisition module: used to acquire gate bed topography data, tide forecast data, water level data and siltation monitoring data in the tidal area, and divide the area downstream of the gate into fan-shaped scouring and silting units based on the gate bed topography data; Flow distribution module: used to generate a heat map of silt distribution in the gate bed based on the siltation monitoring data of the fan-shaped flushing unit, obtain the siltation thickness threshold, and set the flow distribution parameters of each flushing port of the gate according to the thickness threshold; Tidal water level matching module: used to construct a tidal head difference mapping between upstream and downstream gates based on the water level data and tidal forecast data, and to control the water level potential energy before and after the gates in layers through a three-stage water level regulating chamber according to the head difference mapping; The flushing control module is used to establish a partitioned relay coupling matrix based on the water level potential energy and flow distribution parameters using the Petri net dynamic scheduling algorithm, and obtain the pulse flushing sequence of each sector flushing unit; The flushing and silting parameter optimization module is used to perform segmented flushing and silting on the gate based on the pulse flushing sequence, calculate the flushing efficiency index, and perform global optimization of the flushing and silting parameters through a particle swarm genetic hybrid algorithm based on the flushing efficiency index to obtain optimized flushing and silting parameters. If siltation exceeds the limit or the optimized flushing parameters still cannot reach the preset target value of the flushing efficiency index, then a level 12 flushing risk warning will be set according to the flushing efficiency index, and scenario information including equipment failure and siltation exceeding the limit will be sent to the remote operation and maintenance terminal for warning.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: This invention utilizes head difference regulation, high-flow flushing, and segmented relay coordination to pre-store water level potential energy in the upstream primary chamber using variable frequency pumps, achieving a sudden drop in water level downstream and utilizing tidal potential energy for flushing. This reduces energy consumption in pump-driven mode. A Petri net dynamic scheduling algorithm is used to establish a segmented relay flushing sequence, dividing the downstream area into fan-shaped units and constraining the start interval of adjacent units. A wave-like propulsion strategy is employed, involving the first flushing of the upstream area, the second decreasing the upstream flow and starting the downstream area, and the final increasing the flow across the entire region, to reduce flushing blind spots and improve the removal rate of sediment and other deposits. The flushing efficiency and overall regional effect are quantified through a process energy efficiency function. A particle swarm genetic hybrid algorithm is used to globally optimize flow, head difference, and time parameters, shortening the time of a single flush. The optimal flushing strategy and parameters are automatically matched based on the sedimentation heat map, adapting to the complex conditions of bidirectional water flow in tidal areas. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating the steps of the method for optimizing the scouring and silting parameters of a horizontal gate bed in a humid region, as described in this embodiment of the invention. Detailed Implementation

[0016] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0017] Reference Figure 1 As shown, this invention provides a method for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas, including: Acquire topographic data of the gate bed, tidal forecast data, water level data and sedimentation monitoring data of the tidal area, and divide the area downstream of the gate into fan-shaped scour and sedimentation units based on the gate bed topographic data; In a practical assessment, a horizontal lock gate in a tidal area has a width of 20m, a downstream approach channel length of 50m, a tidal cycle of 12.5 hours, and an average head difference of 1.2-3.0m. A laser 3D scanner was used to perform a full-coverage scan of the gate bed within a 50m range downstream of the lock, with a scanning accuracy of ±2cm and a sampling interval of 0.5m. Simultaneously, side-scan sonar was used to detect the siltation distribution boundary. A high-frequency ultrasonic thickness gauge was used to continuously monitor the siltation thickness changes over two tidal cycles, with a measurement range of 0-5m and a resolution of ±0.1mm. An underwater robot collected siltation samples from three typical areas along the gate centerline, and the siltation density was measured to be 1.3-1.5 t / m³. 3 It is mainly composed of clayey mud and sand; Based on scanning and thickness measurement data, the high siltation zone with a thickness ≥1.5m under the gate bed was determined to be within 5m and 10-30m on both sides of the gate centerline. The conventional siltation zone with a thickness of 0.8-1.2m was within 10m of the high siltation zone. The weak zone with a thickness of 0.3-0.6m was the edge area of ​​30-50m. The gate bed was divided into 8 fan-shaped flushing units of 5m×5m. The 4 units on the upstream side near the gate end were marked as A1-A4, and the 4 units on the downstream side were marked as B1-B4. Each unit was equipped with an independent flow control valve group and a variable orifice nozzle. The high siltation zone units A2, A3, B2, and B3 were equipped with rotary nozzles, while the conventional zone and weak zone units were paired with flushing nozzles. Based on the siltation monitoring data of the fan-shaped flushing and siltation unit, a heat map of siltation distribution in the gate bed is generated to obtain the siltation thickness threshold. The flow distribution parameters of each flushing port of the gate are then set according to the thickness threshold. In the actual assessment, sedimentation characteristic data of the sector units were retrieved. A2, A3, B2, and B3 were identified as high sedimentation zones with a thickness of 1.6-1.8m, while A1, A4, B1, and B4 were identified as normal sedimentation zones with a thickness of 0.5-1.1m. A pre-allocated flushing flow rate was determined based on a flow rate of ≥60% for high sedimentation zones, ≤30% for normal zones, and ≤10% for weak zones, according to a design flow rate of 50m³ / h. 3 The main flow rate is determined by an 80% adjustment factor corresponding to the current tidal head difference of 2.8m. The critical flow rate for a high-siltation zone unit, calculated using the critical flow formula, is ≥18 m³ / s. 3 / s, allocated to A2, A3, B2, and B3, each 24m 3 / s (40×60%), A1, A4, B1, and B4 are each 10m 3 / s (40×25%), all meet the critical flow requirements, with a sediment binding coefficient of 1.3 and a flow velocity of 0.7m / s; Based on the water level data, a tidal head difference mapping between the upstream and downstream gates is constructed using tidal forecast data. According to the head difference mapping, the water level potential energy before and after the gates is controlled in layers through a three-stage water level regulating chamber. In actual assessments, local maritime tidal data is accessed to obtain historical and 72-hour tidal warnings. Based on water level data, the water level time-series curves upstream and downstream of the gate are spatiotemporally matched with tidal forecast data according to timestamps to generate a tidal head difference mapping model. The tidal head difference mapping model is labeled with the head difference intervals corresponding to different tidal times, including the early high tide, the slack tide, and the late low tide. The next 3 hours are the late high tide, with the head difference stabilizing at 2.6-3.0m. The head difference mapping model outputs the optimal potential energy range of 2.5-3.0m. Head difference control is implemented through a three-stage water level regulating chamber. The third-stage regulating chamber is activated to correspond to the high head difference range of 2.5-3.5m. The chamber's inlet valve group is opened to maintain the water level difference between the regulating chamber and the tidal water level of the outer river at 2.8m. At the same time, the pressure sensor feeds back the potential energy in the chamber. When the head difference fluctuates by more than ±0.1m, the opening of the drain valve is automatically adjusted to ensure stable potential energy output and provide continuous power support for flow distribution. Based on the water level potential energy and flow distribution parameters, a partitioned relay coupling matrix is ​​established using the Petri net dynamic scheduling algorithm to obtain the pulse flushing sequence of each sector-shaped scouring and silting unit; In the actual assessment, eight fan-shaped scour and sedimentation units were designated as unit reservoirs, and the current tidal head difference of 2.8m was designated as the potential energy reservoir. A trigger threshold of ≥2.5m was met. The flow distribution parameters of each unit were set as the flow reservoir. Meeting the potential energy reservoir standard was used as the triggering condition for change. The flow reservoir matching the sedimentation threshold was used as the grouping condition for change. Based on the change conditions, the first round of scour grouping obtained by associating the unit reservoirs was: high sedimentation zone units A2 and A3, with a flow rate of 24m³ / h. 3 / s, triggered at the end of high tide t=0, the second round of scouring is grouped as: regular zone units A1 and A4, flow rate 10m³ / s. 3 / s, the triggering time is t=2min, the final scouring group is: weak zone units B1, B4, the triggering time is t=6min, and the continuous scouring time of a single unit is limited to ≤25min. The partitioned relay coupling matrix is ​​obtained, and the pulse scouring sequence is calculated by combining the wave propagation control function. Among them, the center coordinate of unit A2 is x=5m, the radius is 5m, the scouring wave propagation velocity is taken as 0.5m / s, which is the diffusion velocity of the jet in the clayey silt, and the spatial attenuation coefficient is 0.02. The calculation is that at t=0 of the unit center The scouring is triggered, with a real-time scouring intensity of 24. At the edge of the unit (x=10m), the scouring is triggered at t=10s, with a scouring intensity of 14.54, which meets the requirement of scouring intensity ≥12 in high sedimentation areas. The pulse scouring sequence of each unit is output. Among them, A2 and A3 start the pre-scouring stage at t=0 with 30% of the design flow, switch to the strong scouring stage at t=5min with 80% of the design flow, and end the scouring at t=25min. The remaining units start the corresponding stages in sequence according to the grouping time sequence, forming a complete segmented pulse scouring sequence. The gate is subjected to segmented flushing and siltation based on the pulse flushing sequence, and the flushing efficiency index is calculated. The flushing efficiency index is then used to perform global optimization of the flushing and siltation parameters through a particle swarm genetic hybrid algorithm to obtain the optimized flushing and siltation parameters.

[0018] In the actual assessment, based on the pulse flushing sequence, segmented operations were initiated according to the grouping time sequence, executing a three-stage mode of pre-flushing, strong flushing, and dredging. Among them, the high siltation zone units A2, A3, B2, and B3 were first flushed with a rotary nozzle at 30% of the design flow rate of 15m³. 3 Pre-flushing for 8 minutes at a rate of / s loosens the surface clay and silt, then switching to 80% of the design flow rate (40m³ / s). 3 A strong flushing action was performed for 15 minutes per second to cut through deep sediment deposits, and finally, a flow rate of 50% (25 m³ / s) was applied. 3 The dredging time is 5 minutes per second, removing suspended sediment, for a total of 28 minutes. Due to the constraint that continuous flushing in a single unit can be ≤25 minutes, the strong flushing time is adjusted to 12 minutes, for a total of 25 minutes. In the regular zones A1 and A4 and the weak zones B1 and B4, a counter-flushing nozzle is used for pre-flushing for 5 minutes, strong flushing for 10 minutes, and dredging for 5 minutes, for a total of 20 minutes. This avoids potential energy dispersion and equipment structural fatigue caused by simultaneous operation of multiple units. The scouring efficiency index (SEI) of each section is calculated. Among them, unit A2 has a sediment thickness of 1.7m and a unit area of ​​19.6m². 2 The volume of the silt deposit is 33.32 m³. 3 The flushing energy consumption is: The calculated SEI is 3.36, which meets the requirement of ≥1.8. Unit B4 is a weak zone with a thickness of 0.5m and the calculated SEI is 1.52, so the performance is judged to be substandard. Using flushing flow rate, flushing time, and head difference as optimization variables, and maximizing SEI as the objective function, the optimization search is initiated with initial parameters of 10m input to unit B4. 3 / s, 1200s, 2.8m, with the constraint that the scouring flow rate ≤ 60m³ / s. 3 Given a flushing time ≤ 1500s and a head difference of [0.8, 3.5]m, the optimal solution interval is quickly determined to be [12, 15]m by iterating 20 times using the Particle Swarm Optimization (PSO) algorithm. 3 / s, [1300, 1400]s, and then the genetic algorithm (GA) is used to perform crossover and mutation on the parameters within the interval. After 30 iterations, the optimized parameters 14m are output. 3 / s, 1350s, 2.9m, recalculated SEI is 1.87, which meets the requirements; Based on the optimized parameters, the flow rate of the high-siltation zone unit was fine-tuned to 25m³. 3 / s, the regular area is fine-tuned to 12m 3 / s, the weak zone was slightly adjusted to 14m 3 / s, and feeds back to the control system to drive the flow control valve group to adjust the opening. The three-stage water level regulating chamber maintains a water head difference of 2.9m. The optimized parameters are used for dredging. Finally, the silt removal rate of the whole area reaches 93.2%. The total energy consumption of a single flush is reduced by 26.7% compared with that before optimization, and the total time is shortened by 38.1%, which is suitable for the current 3-hour flushing window at the end of high tide. In another example, the gate drive system uses a direct-drive electro-hydraulic servo cylinder with a response time of <0.3s and a positioning accuracy of ±0.5mm. The gate is equipped with a 20mm aperture mechanical bar screen and an electromagnetic pulse cleaner. When the monitored flow velocity is >5m / s or the sand content is >15kg / m³, the system can operate. 3 In case of a 5-year storm surge, the system automatically switches to passive protection mode and triggers an emergency flushing procedure to quickly establish a 3.2m head difference and activate the maximum flow rate of 60m³ / h across the entire area. 3 / s, using a spiral relay flushing path, rotating the flushing direction by 45° every 5 minutes, clearing the silt from the gate bed within 2 hours, ensuring normal opening and closing of the gate, reducing the response time by 80% compared to traditional manual intervention; In actual assessments, if passive protection mode or extreme weather causes siltation to exceed limits or fails to reach the preset target value of the flushing efficiency index, warnings will be issued to the remote operation and maintenance terminal, including scenario information such as equipment failure and siltation exceeding limits.

[0019] In this embodiment, the method for obtaining the fan-shaped silt flushing unit includes: Laser scanning data, sonar detection data, tide forecast data, sedimentation sampling data, and water level data at various upstream and downstream points of the gate in the tidal area were acquired. Based on the laser scanning data, the topography of the gate bed was divided into density grids. The elevation, plane coordinates, and topographic slope of the gate bed were labeled on the density grids according to the laser scanning data. Noise filtering and null value interpolation were performed on the density grid data to obtain a three-dimensional topographic model of the gate bed. Based on the three-dimensional terrain model of the gate bed, the area within 50m downstream of the gate is divided into 8 fan-shaped scouring and silting units. Each fan-shaped scouring and silting unit is equipped with an independent flow control valve group and pressure sensor. The sonar detection data includes Doppler water flow velocity and siltation layer thickness data within the fan-shaped scouring and silting unit. The siltation layer thickness data and siltation sampling data are used as siltation monitoring data. The tidal forecast data includes tidal level, tidal flow velocity and tidal time sequence data. The water level data are water level values ​​and water level time sequence curves obtained by radar water level gauges and pressure water level gauges.

[0020] In this embodiment, the method for obtaining the flow control valve assembly includes: Based on the sedimentation monitoring data of the fan-shaped flushing unit, the flushing port in the area with sedimentation thickness greater than 1.5 meters is configured as a counter-flushing dual nozzle, and the flushing angle of the counter-flushing dual nozzle is set to 120 degrees. The flushing port in the area with sedimentation thickness of 0.5 to 1.5 meters is configured as a rotary single nozzle, and the rotation speed of the rotary single nozzle is set to 120 revolutions per minute. The flushing port in the weak flushing zone at the root of the gate groove is configured as a directional pulse nozzle, and the frequency of the directional pulse nozzle is set to 50 Hz. The flushing nozzle is configured with 16 sets of variable aperture nozzles, and the nozzle diameter is adjustable in the range of 10 to 150 mm. The nozzle is made of 316L stainless steel.

[0021] In this embodiment, the method for obtaining the traffic allocation parameters includes: Based on the siltation monitoring data obtained from the fan-shaped siltation unit, the mean siltation thickness, maximum siltation thickness and spatial distribution variance within the unit are calculated according to the siltation monitoring data to obtain siltation characteristic data. GIS tools are used to visualize the siltation characteristic data and gradient color levels of each unit to obtain a heat map of siltation distribution in the gate bed. Based on the heat map of the siltation distribution of the door bed, thickness thresholds are defined. The high siltation threshold is greater than or equal to 1.5 meters, and the normal siltation threshold is 0.5 to 1.5 meters. The remaining areas outside the high siltation threshold and the normal siltation threshold are defined as weak scour zones. 60% of the main flow is pre-allocated to the high siltation threshold area, 30% of the main flow is pre-allocated to the normal siltation threshold area, and 10% of the main flow is pre-allocated to the weak scour zones. The critical flow rate is calculated for the flushing inlet of the fan-shaped flushing unit, and the formula for the critical flow rate is: ; in For the first One flushing port in The critical effective flushing flow rate at a given moment. For the first The flow coefficient of each flushing nozzle is obtained from the flow control valve assembly. For the first The flow area of ​​each flushing nozzle is obtained based on the nozzle orifice diameter data collected by the gate opening sensor. The density of the flushing fluid, It is the acceleration due to gravity. For the first A fan-shaped scouring and silting unit in The water level at that moment, for The additional outlet pressure of the variable frequency water pump is obtained based on the outlet pressure of the variable frequency water pump collected by the pressure sensor. For the first In each region Doppler water flow velocity at any given time This is the flow rate correction factor. For the first In each region The siltation state correction coefficient at any given time is obtained from the siltation sampling data; The sum of the critical flow rates of the fan-shaped flushing and silting units is compared with the pre-allocation ratio of the main flow rate. If the pre-allocation of the main flow rate is greater than or equal to the sum of the critical flow rates, the pre-allocation of the main flow rate is maintained. If the pre-allocation of the main flow rate is less than the sum of the critical flow rates, the high siltation threshold area is preferentially supplemented to the pre-allocation ratio of the main flow rate so that the total allocated main flow rate of the area is greater than or equal to the sum of the critical flow rates, thereby obtaining the flow allocation parameters of each flushing outlet.

[0022] In this embodiment, the method for obtaining the water level potential energy includes: Based on water level data, the water level time series curves upstream and downstream of the gate are matched with tidal forecast data in time and space according to timestamps to generate a tidal head difference mapping model. The tidal head difference mapping model is labeled with the head difference intervals corresponding to different tidal times, including the early stage of high tide, the slack tide, and the late stage of low tide. According to the tidal head difference mapping model, the water level potential energy is controlled in layers by setting up three-stage water level regulating chambers upstream and downstream of the gate. Based on the tidal head difference mapping model, the downstream gate is closed when the tide level reaches 80% of the high tide level at the end of the high tide to obtain a top head difference of 0.8 to 1.5 meters. When the tide level drops to 20% of the low tide level at the beginning of the low tide, the upstream gate is quickly opened to obtain an instantaneous head difference of 2.0 to 3.5 meters. The primary chamber set up according to the upstream gate raises the water level by 0.5 to 1.0 meters through a variable frequency water pump to obtain pre-stored potential energy. The buffer chamber set up according to the gate section maintains a stable head difference through a pneumatic balancing valve group. The stable head difference fluctuation range is less than or equal to 0.1 meters. The impact chamber set up according to the downstream gate drops the water level from 0 to 2.5 meters within 30 seconds through a fast opening and closing valve.

[0023] In this embodiment, the method for obtaining the pulse flushing sequence includes: Based on the acquisition of water level potential energy and flow distribution parameters by fan-shaped scouring and sedimentation units, the fan-shaped scouring and sedimentation units are set as unit reservoirs, water level potential energy is set as potential energy reservoirs, and flow distribution parameters are set as flow reservoirs. Petri nets are constructed based on the unit reservoirs, potential energy reservoirs, and flow reservoirs. Potential energy reservoirs are used as triggering transition conditions, and flow reservoirs are used as group transition conditions. The unit reservoirs are associated according to the transition conditions to obtain scouring groups. Based on the scouring groups, the scouring sequence is defined by the transition trigger interval of the Petri net. If the start interval between adjacent fan-shaped scouring and sedimentation units is greater than or equal to 2 minutes and the continuous scouring duration of the same unit is less than or equal to 25 minutes, the scouring stage transition is triggered to obtain the scouring sequence. Using the flow allocation parameters, the flushing timing and flushing groups are bound in tabular form to obtain the partitioned relay coupling matrix. Based on the partitioned relay coupling matrix, the pulse flushing sequence of each sector flushing unit is calculated using the wave propulsion control function. The pulse flushing sequence includes the first flush, the second flush, and the last flush.

[0024] In this embodiment, the method for obtaining the wave propulsion control function includes: The flushing group includes an upstream unit and a downstream unit. Based on the sedimentation monitoring data of the upstream unit, a pre-flushing stage and a strong flushing stage are matched. According to the matching stage, the flushing flow rate of the first flush is set to 30% to 80% of the design flow rate and lasts for 15 minutes. According to the second flush, the flushing flow rate of the upstream unit is reduced to 50% of the design value, and the downstream unit is started simultaneously to obtain a relay flushing zone. The downstream unit corresponds to the flow rate ratio of the pre-flushing stage and the strong flushing stage. According to the final flush, the flushing flow rate of the entire area fan-shaped sludge flushing unit is increased to 120% of the design flow rate and lasts for 10 minutes. During the pre-flushing phase, the surface sediment of the current starting unit is flushed at a low speed of 30% of the design flow rate for 5 to 10 minutes. During the strong flushing phase, the flushing flow rate is increased to 80% of the design flow rate, and the sediment is cut with a high-speed jet for 15 to 20 minutes. During the dredging phase, the flushing flow rate is maintained at 50% of the design flow rate for 10 to 15 minutes. The flushed suspended sediment is then carried to the deep channel downstream of the gate by the relay flushing belt, where the design flow rate is 50 m³ / h. 3 / s; Based on the partitioned relay coupling matrix, the scour flow rate and scour groups are obtained. According to the scour groups and scour flow rate, the pulse scour sequence of each sector-shaped scour unit is calculated using a wave propulsion control function. The formula for the wave propulsion control function is: ; in Spatial coordinates The area, in time Real-time scouring intensity To flush out the groups, For the first Round-robin flushing flow This is a Heaviside step function. The function evaluates to 1 when the expression within the parentheses is ≥ 0, triggering the flush; otherwise, it evaluates to 0 and no flush occurs. To correspond to the scour window of the tidal cycle, the spatial coordinates of the current scour point are obtained from the tidal head difference mapping model, based on the 3D terrain model of the sluice gate. For the propagation speed of the scour wave, For the first The interval between the flushing cycles. The spatial attenuation coefficient, For the first The center coordinates of the wheel scour group are obtained based on the fan-shaped scour and sedimentation unit.

[0025] In this embodiment, the method for obtaining the optimized scouring and silting parameters includes: The fan-shaped flushing unit is subjected to segmented flushing based on a pulse flushing sequence. A hydraulic turbine generator is installed downstream of the gate. 15% to 20% of the flushing energy is recovered through the hydraulic turbine generator based on the flushing flow rate. The flushing efficiency index is calculated based on the flushing energy consumption of each segment. The formula for calculating the flushing efficiency index is as follows: ; in To improve efficiency, The current siltation volume is obtained based on siltation monitoring data. This represents the scouring energy consumption for the current section. The flushing flow rate for the current segment is obtained based on the flow allocation parameters. The tidal head difference corresponding to the current segment is obtained through the tidal head difference mapping model. This refers to the flushing sequence of the current segment; If the flushing efficiency index is greater than or equal to the preset target value, the flushing efficiency meets the standard. If it is less than the preset target value, the flushing flow rate, head difference, flushing time, sediment volume, and flushing energy consumption are used as flushing parameters. Based on the flushing parameters, a global optimization is performed using a particle swarm genetic hybrid algorithm. The particle swarm algorithm is used to quickly search for the optimal solution range of the flushing parameters. Based on the optimal solution range, the flushing parameters are cross-linked and mutated using a genetic algorithm, and iteratively optimized until they are greater than or equal to the preset target value, thus obtaining the optimized flushing parameters. If siltation exceeds the limit or the optimized flushing parameters still cannot reach the preset target value of the flushing efficiency index, then a level 12 flushing risk warning will be set according to the flushing efficiency index, and scenario information including equipment failure and siltation exceeding the limit will be sent to the remote operation and maintenance terminal for warning.

[0026] A second aspect of the present invention also provides a system for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas, comprising: Data acquisition module: used to acquire gate bed topography data, tide forecast data, water level data and siltation monitoring data in the tidal area, and divide the area downstream of the gate into fan-shaped scouring and silting units based on the gate bed topography data; Flow distribution module: used to generate a heat map of silt distribution in the gate bed based on the siltation monitoring data of the fan-shaped flushing unit, obtain the siltation thickness threshold, and set the flow distribution parameters of each flushing port of the gate according to the thickness threshold; Tidal water level matching module: used to construct a tidal head difference mapping between upstream and downstream gates based on the water level data and tidal forecast data, and to control the water level potential energy before and after the gates in layers through a three-stage water level regulating chamber according to the head difference mapping; The flushing control module is used to establish a partitioned relay coupling matrix based on the water level potential energy and flow distribution parameters using the Petri net dynamic scheduling algorithm, and obtain the pulse flushing sequence of each sector flushing unit; The flushing and silting parameter optimization module is used to perform segmented flushing and silting on the gate based on the pulse flushing sequence, calculate the flushing efficiency index, and perform global optimization of the flushing and silting parameters through a particle swarm genetic hybrid algorithm based on the flushing efficiency index to obtain optimized flushing and silting parameters.

[0027] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. A method for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas, characterized in that, Includes the following steps: Acquire topographic data of the gate bed, tidal forecast data, water level data and sedimentation monitoring data of the tidal area, and divide the area downstream of the gate into fan-shaped scour and sedimentation units based on the gate bed topographic data; Based on the sedimentation monitoring data of the fan-shaped sludge flushing unit, a heat map of sedimentation distribution in the gate bed is generated to obtain the sedimentation thickness threshold. The flow distribution parameters of each flushing port of the gate are then set according to the thickness threshold. Based on the water level data, a tidal head difference mapping between the upstream and downstream gates is constructed using tidal forecast data. According to the head difference mapping, the water level potential energy before and after the gates is controlled in layers through a three-stage water level regulating chamber. Based on the water level potential energy and flow distribution parameters, a partitioned relay coupling matrix is ​​established using the Petri net dynamic scheduling algorithm to obtain the pulse flushing sequence of each sector-shaped scouring and silting unit; The gate is subjected to segmented flushing and siltation based on the pulse flushing sequence, and the flushing efficiency index is calculated. The flushing efficiency index is then used to perform global optimization of the flushing and siltation parameters through a particle swarm genetic hybrid algorithm to obtain the optimized flushing and siltation parameters.

2. The method for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas according to claim 1, characterized in that, The method for obtaining the fan-shaped silt flushing unit includes: Laser scanning data, sonar detection data, tide forecast data, sedimentation sampling data, and water level data at various upstream and downstream points of the gate in the tidal area were acquired. Based on the laser scanning data, the topography of the gate bed was divided into density grids. The elevation, plane coordinates, and topographic slope of the gate bed were labeled on the density grids according to the laser scanning data. Noise filtering and null value interpolation were performed on the density grid data to obtain a three-dimensional topographic model of the gate bed. Based on the three-dimensional terrain model of the gate bed, the area within 50m downstream of the gate is divided into 8 fan-shaped scouring and silting units. Each fan-shaped scouring and silting unit is equipped with an independent flow control valve group and pressure sensor. The sonar detection data includes Doppler water flow velocity and siltation layer thickness data within the fan-shaped scouring and silting unit. The siltation layer thickness data and siltation sampling data are used as siltation monitoring data. The tidal forecast data includes tidal level, tidal flow velocity and tidal time sequence data. The water level data are water level values ​​and water level time sequence curves obtained by radar water level gauges and pressure water level gauges.

3. The method for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas according to claim 2, characterized in that, Methods for obtaining flow control valve assemblies include: Based on the sedimentation monitoring data of the fan-shaped flushing unit, the flushing port in the area with sedimentation thickness greater than 1.5 meters is configured as a counter-flushing dual nozzle, and the flushing angle of the counter-flushing dual nozzle is set to 120 degrees. The flushing port in the area with sedimentation thickness of 0.5 to 1.5 meters is configured as a rotary single nozzle, and the rotation speed of the rotary single nozzle is set to 120 revolutions per minute. The flushing port in the weak flushing zone at the root of the gate groove is configured as a directional pulse nozzle, and the frequency of the directional pulse nozzle is set to 50 Hz. The flushing nozzle is configured with 16 sets of variable aperture nozzles, and the nozzle diameter is adjustable in the range of 10 to 150 mm. The nozzle is made of 316L stainless steel.

4. The method for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas according to claim 1, characterized in that, The method for obtaining the traffic allocation parameters includes: Based on the siltation monitoring data obtained from the fan-shaped siltation unit, the mean siltation thickness, maximum siltation thickness and spatial distribution variance within the unit are calculated according to the siltation monitoring data to obtain siltation characteristic data. GIS tools are used to visualize the siltation characteristic data and gradient color levels of each unit to obtain a heat map of siltation distribution in the gate bed. Based on the heat map of the siltation distribution of the door bed, thickness thresholds are defined. The high siltation threshold is greater than or equal to 1.5 meters, and the normal siltation threshold is 0.5 to 1.5 meters. The remaining areas outside the high siltation threshold and the normal siltation threshold are defined as weak scour zones. 60% of the main flow is pre-allocated to the high siltation threshold area, 30% of the main flow is pre-allocated to the normal siltation threshold area, and 10% of the main flow is pre-allocated to the weak scour zones. The critical flow rate is calculated for the flushing inlet of the fan-shaped flushing unit, and the formula for the critical flow rate is: ； in For the first One flushing port in The critical effective flushing flow rate at a given moment. For the first The flow coefficient of each flushing nozzle is obtained from the flow control valve assembly. For the first The flow area of ​​each flushing nozzle is obtained based on the nozzle orifice diameter data collected by the gate opening sensor. The density of the flushing fluid, It is the acceleration due to gravity. For the first A fan-shaped scouring and silting unit in The water level at that moment, for The additional outlet pressure of the variable frequency water pump is obtained based on the outlet pressure of the variable frequency water pump collected by the pressure sensor. For the first The region is Doppler water flow velocity at any given time This is the flow rate correction factor. For the first The region is The siltation state correction coefficient at any given time is obtained from the siltation sampling data; The sum of the critical flow rates of the fan-shaped flushing and silting units is compared with the pre-allocation ratio of the main flow rate. If the pre-allocation of the main flow rate is greater than or equal to the sum of the critical flow rates, the pre-allocation of the main flow rate is maintained. If the pre-allocation of the main flow rate is less than the sum of the critical flow rates, the high siltation threshold area is preferentially supplemented to the pre-allocation ratio of the main flow rate so that the total allocated main flow rate of the area is greater than or equal to the sum of the critical flow rates, thereby obtaining the flow allocation parameters of each flushing outlet.

5. The method for optimizing the scouring and silting parameters of a horizontal gate bed in tidal areas according to claim 1, characterized in that, The method for obtaining the water level potential energy includes: Based on water level data, the water level time series curves upstream and downstream of the gate are matched with tidal forecast data in time and space according to timestamps to generate a tidal head difference mapping model. The tidal head difference mapping model is labeled with the head difference intervals corresponding to different tidal times, including the early stage of high tide, the slack tide, and the late stage of low tide. According to the tidal head difference mapping model, the water level potential energy is controlled in layers by setting up three-stage water level regulating chambers upstream and downstream of the gate. Based on the tidal head difference mapping model, the downstream gate is closed when the tide level reaches 80% of the high tide level at the end of the high tide to obtain a top head difference of 0.8 to 1.5 meters. When the tide level drops to 20% of the low tide level at the beginning of the low tide, the upstream gate is quickly opened to obtain an instantaneous head difference of 2.0 to 3.5 meters. The primary chamber set up according to the upstream gate raises the water level by 0.5 to 1.0 meters through a variable frequency water pump to obtain pre-stored potential energy. The buffer chamber set up according to the gate section maintains a stable head difference through a pneumatic balancing valve group. The stable head difference fluctuation range is less than or equal to 0.1 meters. The impact chamber set up according to the downstream gate drops the water level from 0 to 2.5 meters within 30 seconds through a fast opening and closing valve.

6. The method for optimizing the scouring and silting parameters of a horizontal gate bed in tidal areas according to claim 1, characterized in that, The method for obtaining the pulse flushing sequence includes: Based on the acquisition of water level potential energy and flow distribution parameters by fan-shaped scouring and sedimentation units, the fan-shaped scouring and sedimentation units are set as unit reservoirs, water level potential energy is set as potential energy reservoirs, and flow distribution parameters are set as flow reservoirs. Petri nets are constructed based on the unit reservoirs, potential energy reservoirs, and flow reservoirs. Potential energy reservoirs are used as triggering transition conditions, and flow reservoirs are used as group transition conditions. The unit reservoirs are associated according to the transition conditions to obtain scouring groups. Based on the scouring groups, the scouring sequence is defined by the transition trigger interval of the Petri net. If the start interval between adjacent fan-shaped scouring and sedimentation units is greater than or equal to 2 minutes and the continuous scouring duration of the same unit is less than or equal to 25 minutes, the scouring stage transition is triggered to obtain the scouring sequence. Using the flow allocation parameters, the flushing timing and flushing groups are bound in tabular form to obtain the partitioned relay coupling matrix. Based on the partitioned relay coupling matrix, the pulse flushing sequence of each sector flushing unit is calculated using the wave propulsion control function. The pulse flushing sequence includes the first flush, the second flush, and the last flush.

7. The method for optimizing the scouring and silting parameters of a horizontal gate bed in tidal areas according to claim 6, characterized in that, The method for obtaining the wave propulsion control function includes: The flushing group includes an upstream unit and a downstream unit. Based on the sedimentation monitoring data of the upstream unit, a pre-flushing stage and a strong flushing stage are matched. According to the matching stage, the flushing flow rate of the first flush is set to 30% to 80% of the design flow rate and lasts for 15 minutes. According to the second flush, the flushing flow rate of the upstream unit is reduced to 50% of the design value, and the downstream unit is started simultaneously to obtain a relay flushing zone. The downstream unit corresponds to the flow rate ratio of the pre-flushing stage and the strong flushing stage. According to the final flush, the flushing flow rate of the entire area fan-shaped sludge flushing unit is increased to 120% of the design flow rate and lasts for 10 minutes. During the pre-flushing phase, the surface sediment of the current starting unit is flushed at a low speed of 30% of the design flow rate for 5 to 10 minutes. During the strong flushing phase, the flushing flow rate is increased to 80% of the design flow rate, and the sediment is cut with a high-speed jet for 15 to 20 minutes. During the dredging phase, the flushing flow rate is maintained at 50% of the design flow rate for 10 to 15 minutes. The flushed suspended sediment is then carried to the deep channel downstream of the gate via a relay flushing belt. The design flow rate is 50 m³ / h. 3 / s; Based on the partitioned relay coupling matrix, the scour flow rate and scour groups are obtained. According to the scour groups and scour flow rate, the pulse scour sequence of each sector-shaped scour unit is calculated using a wave propulsion control function. The formula for the wave propulsion control function is: ； in Spatial coordinates The area, in time Real-time scouring intensity To flush out the groups, For the first Round-robin flushing flow This is a Heaviside step function. The function evaluates to 1 when the expression within the parentheses is ≥ 0, triggering the flush; otherwise, it evaluates to 0 and no flush occurs. To correspond to the scour window of the tidal cycle, the spatial coordinates of the current scour point are obtained from the tidal head difference mapping model, based on the 3D terrain model of the sluice gate. For the propagation speed of the scour wave, For the first The interval between the flushing cycles. The spatial attenuation coefficient, For the first The center coordinates of the wheel scour group are obtained based on the fan-shaped scour and sedimentation unit.

8. The method for optimizing the scouring and silting parameters of a horizontal gate bed in tidal areas according to claim 1, characterized in that, The method for obtaining the optimized flushing and silting parameters includes: The fan-shaped flushing unit is subjected to segmented flushing based on a pulse flushing sequence. A hydraulic turbine generator is installed downstream of the gate. 15% to 20% of the flushing energy is recovered through the hydraulic turbine generator based on the flushing flow rate. The flushing efficiency index is calculated based on the flushing energy consumption of each segment. The formula for calculating the flushing efficiency index is as follows: ； in To improve efficiency, The current siltation volume is obtained based on siltation monitoring data. This represents the scouring energy consumption for the current section. The flushing flow rate for the current segment is obtained based on the flow allocation parameters. The tidal head difference corresponding to the current segment is obtained through the tidal head difference mapping model. This refers to the flushing sequence of the current segment; If the flushing efficiency index is greater than or equal to the preset target value, the flushing efficiency meets the standard. If it is less than the preset target value, the flushing flow rate, head difference, flushing time, sediment volume, and flushing energy consumption are used as flushing parameters. Based on the flushing parameters, a global optimization is performed using a particle swarm genetic hybrid algorithm. The particle swarm algorithm is used to quickly search for the optimal solution range of the flushing parameters. Based on the optimal solution range, the flushing parameters are cross-linked and mutated using a genetic algorithm, and iteratively optimized until they are greater than or equal to the preset target value, thus obtaining the optimized flushing parameters. If siltation exceeds the limit or the optimized flushing parameters still cannot reach the preset target value of the flushing efficiency index, then a level 12 flushing risk warning will be set according to the flushing efficiency index, and scenario information including equipment failure and siltation exceeding the limit will be sent to the remote operation and maintenance terminal for warning.

9. A system for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas, used to execute the method for optimizing the scouring and silting parameters of a horizontal gate bed in humid areas as described in any one of claims 1 to 8, characterized in that, The system includes: Data acquisition module: used to acquire gate bed topography data, tide forecast data, water level data and siltation monitoring data in the tidal area, and divide the area downstream of the gate into fan-shaped scouring and silting units based on the gate bed topography data; Flow distribution module: used to generate a heat map of silt distribution in the gate bed based on the siltation monitoring data of the fan-shaped flushing unit, obtain the siltation thickness threshold, and set the flow distribution parameters of each flushing port of the gate according to the thickness threshold; Tidal water level matching module: used to construct a tidal head difference mapping between upstream and downstream gates based on the water level data and tidal forecast data, and to control the water level potential energy before and after the gates in layers through a three-stage water level regulating chamber according to the head difference mapping; The flushing control module is used to establish a partitioned relay coupling matrix based on the water level potential energy and flow distribution parameters using the Petri net dynamic scheduling algorithm, and obtain the pulse flushing sequence of each sector flushing unit; The flushing and silting parameter optimization module is used to perform segmented flushing and silting on the gate based on the pulse flushing sequence, calculate the flushing efficiency index, and perform global optimization of the flushing and silting parameters through a particle swarm genetic hybrid algorithm based on the flushing efficiency index to obtain optimized flushing and silting parameters.

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