A method, device, storage medium and electronic device for designing a cascade filtration system

Abstract

The application discloses a kind of cascade filtration system design method, device, storage medium and electronic equipment, including collecting sea area environment data, water channel data, trash rack data and disaster-causing material data;According to part of the sea area environment data, construct hydrodynamic model, obtain flow field dynamic characteristic set according to the hydrodynamic model, construct water channel model according to the water channel data, construct multiple trash rack models according to the trash rack data;According to trash rack setting principle, the trash rack model is placed in the water channel model to construct water channel interception model, based on the flow field dynamic characteristic set, the disaster-causing material data and the water channel interception model are simulated, and the interception data of different water channel interception models is obtained;According to the interception data, comparison is carried out, and the configuration parameters corresponding to the optimal water channel interception model are saved.

Description

Technical Field

[0001] This invention relates to the field of nuclear power water intake technology, specifically to a design method, apparatus, storage medium, and electronic equipment for a cascade filtration system. Background Technology

[0002] The core function of a nuclear power plant's marine cascade filtration system is to effectively intercept hazardous materials at the intake using equipment such as screens, thereby ensuring the safety of the nuclear power plant's water intake and the stable operation of the cooling system. Currently, the design of screen systems largely relies on engineering experience. In calculations and analyses, the interception rate of a single screen is usually set to a fixed value (e.g., 70%), and the configuration of mesh parameters in the design of nuclear power plant screens generally depends on engineering experience. This approach of relying solely on engineering experience in screen design cannot fully meet the interception requirements. These fixed values ​​are generally based on specific plant sites, specific screens, and single hazardous material conditions, without considering the differences in key factors such as site environment, hazardous material type, screen specifications, hydrological conditions, flow velocity, and flow regime. Therefore, they cannot accurately reflect the actual interception effect on the engineering site and are prone to significant deviations between design results and actual operating conditions.

[0003] Patent document CN117684629A discloses a method for deploying a guide net and a debris-blocking structure. This includes determining the area affected by the water intake flow velocity as the guide net deployment area based on the tidal current velocity and water intake velocity near the water intake. A first guide net section is located within the deployment area and is set parallel to the direction of incoming planktonic marine organisms, preventing large-scale planktonic marine organisms from being carried directly into the water intake channel or culvert by the water intake flow. A second guide net section is located within the deployment area and is set parallel to the prevailing summer wind direction. The second guide net section is not orthogonal to the summer main wave direction or tidal current direction, allowing planktonic marine organisms to drift away from the water intake area with the surface wind. However, this method does not address the problem of accurately evaluating the actual interception effect of the debris-blocking net under different plant site environments, different types of hazardous materials, and different hydrodynamic conditions, and optimizing the debris-blocking net parameter configuration accordingly.

[0004] Patent document CN120354565A discloses a method and apparatus for designing the configuration of a debris-blocking net in a cascade filtration system. The method includes determining the input parameters and barrier constraint equations of a multi-objective optimization model for the cascade filtration system based on the power plant's operating environment; and optimizing head loss and total system cost using a multi-objective optimization algorithm based on the input parameters and constraint equations to generate an optimal configuration scheme. The input parameters include environmental parameters and cascade filtration system parameters. The environmental parameters include one or more of the following: topographic features, biological features, and hydro-meteorological features. However, the method does not address the problem of accurately evaluating the actual interception effect of the debris-blocking net and optimizing the configuration of its parameters under different plant site environments, different types of hazardous materials, and different hydrodynamic conditions.

[0005] In summary, neither of the two existing patents mentioned above has solved the problem of accurately evaluating the actual interception effect of the debris barrier under different plant site environments, different types of disaster-causing substances, and different hydrodynamic conditions, and thus optimizing the configuration of the debris barrier parameters accordingly. Summary of the Invention

[0006] Based on the above-mentioned technical problems, this invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system, which solves the problem of accurately evaluating the actual interception effect of the debris barrier under different plant site environments, different types of disaster-causing substances, and different hydrodynamic conditions, and optimizing the configuration of the debris barrier parameters accordingly.

[0007] To achieve the above objectives, this invention proposes a design method for a cascade filtration system.

[0008] A cascade filtration system design method includes: Collect marine environmental data, canal data, debris-blocking net data, and disaster-causing material data; A hydrodynamic model is constructed based on some of the marine environmental data; a flow field dynamic feature set is obtained based on the hydrodynamic model; a canal model is constructed based on the canal data; and multiple debris-blocking net models are constructed based on the debris-blocking net data. According to the principle of setting up the debris barrier, the debris barrier model is placed in the water channel model to construct the water channel interception model. Simulation is performed based on the flow field dynamic feature set, the disaster-causing object data and the water channel interception model to obtain interception data of different water channel interception models. Based on the comparison of the interception data, the configuration parameters corresponding to the optimal water channel interception model are saved.

[0009] Furthermore, the marine environmental data includes: tidal characteristic data, current characteristic data, wind condition data, seawater flow velocity, and water intake flow rate.

[0010] Furthermore, constructing a hydrodynamic model based on some of the marine environmental data includes: constructing the hydrodynamic model in simulation software and inputting the tidal characteristic data as boundary conditions into the hydrodynamic model for numerical simulation; verifying the simulation results of the hydrodynamic model using the tidal current characteristic data; iteratively adjusting the parameters of the hydrodynamic model based on the simulation results until the simulation results meet the preset accuracy requirements, thereby obtaining the corrected hydrodynamic model.

[0011] Furthermore, the water channel data includes: water channel structure data and water channel size data.

[0012] Furthermore, the data on the debris barrier includes: the structure of the debris barrier, the mesh size, and the structural dimensions.

[0013] Furthermore, according to the principle of setting up the debris barrier, the debris barrier model is placed in the water channel model to construct the water channel interception model, including: the debris barrier structure includes a straight debris barrier, a herringbone debris barrier, a net-type debris barrier, and a floating debris barrier, and different debris barrier models are placed in different positions in the water channel model according to the principle of setting up the debris barrier.

[0014] Furthermore, the principles for setting up the debris barrier nets include: the mesh size of the debris barrier net model gradually decreases along the water flow direction; the straight debris barrier net is laid out in a direction perpendicular to the main flow direction; the herringbone debris barrier net is set in the area with a flow velocity of 0.20m / s-0.35m / s; the net bag type debris barrier net is set in the area with a flow velocity of 0.15m / s-0.30m / s; and the float type debris barrier net is laid out in a direction perpendicular to the main flow direction.

[0015] Furthermore, the data on the causative organisms include: species, invasion amount, population density, individual size, and water distribution characteristics.

[0016] Furthermore, the simulation based on the flow field dynamic feature set, the disaster-causing material data, and the water channel interception model includes: importing the water channel interception model into simulation software, constructing a particle model library based on the disaster-causing material data, and simulating the water channel interception model based on the particle model library and the flow field dynamic feature set.

[0017] Furthermore, a particle model library is constructed based on the hazard data, including: mapping different biological species to multiple types of pollutant particles in discrete element computation, with the multiple types of pollutant particles constituting the model library; determining the particle injection rate and time-related generation intensity of the pollutant particles based on the invasion amount; constructing a spatial distribution function based on the population density to determine the initial spatial distribution of the pollutant particles in the computational domain; constructing a particle size distribution model of the pollutant particles based on the individual size, and randomly sampling and assigning sizes to multiple pollutant particles according to the particle size distribution model; and determining the initial velocity field of the pollutant particles based on the water body distribution characteristics.

[0018] Furthermore, the water channel interception model is simulated based on the particle model library and the flow field dynamic feature set, including: setting simulation conditions based on the flow field dynamic feature set and the particle model library, wherein the simulation conditions include the pollutant particles and their corresponding sizes, the generation intensity, the particle injection rate, the initial spatial location distribution and the initial velocity field; inputting the simulation conditions into the simulation software to initialize the biosphere data; and simulating the collision situation of the biosphere data to obtain the interception data.

[0019] Furthermore, the interception data includes the interception rate and the water flow rate.

[0020] Furthermore, based on the comparison of the interception data, the configuration parameters corresponding to the optimal water channel interception model are saved, including: comparing the cost of different water channel interception models with the corresponding interception data based on verification rules, and saving the water channel interception models that satisfy the verification rules.

[0021] Furthermore, the verification rules include: setting an interception threshold and a cost threshold, calculating the corresponding costs according to the water channel interception model, and selecting the water channel interception model with the lowest cost among the water channel interception models that meet the interception threshold and the cost threshold, and saving it.

[0022] To achieve the above objectives, the present invention also proposes a cascade filtration system design device.

[0023] A cascade filtration system design device, comprising: The data acquisition module is used to collect marine environmental data, canal data, debris-blocking net data, and disaster-causing material data. The construction module is used to construct a hydrodynamic model based on some of the marine environmental data, obtain a flow field dynamic feature set based on the hydrodynamic model, construct a canal model based on the canal data, and construct multiple debris-blocking net models based on the debris-blocking net data. The simulation module is used to place the debris-blocking net model into the water channel model according to the debris-blocking net setting principle to construct a water channel interception model, and to perform simulation based on the flow field dynamic feature set, the disaster-causing object data and the water channel interception model to obtain interception data of different water channel interception models; The determination module is used to compare the interception data and save the configuration parameters corresponding to the optimal water channel interception model.

[0024] Based on the above technical solution, the present invention has at least the following beneficial effects: 1. This invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system. By collecting marine environmental data, canal data, debris barrier data, and hazardous material data, it provides comprehensive basic data support for subsequent model construction, improving the adaptability of analysis results to actual engineering environments. Furthermore, by constructing a hydrodynamic model and extracting a flow field dynamic feature set, it can reflect the actual flow velocity, flow direction, and flow regime distribution characteristics of the water intake area, ensuring that the debris barrier system design fully considers the impact of the actual hydrodynamic environment. Subsequently, based on the canal model, debris barrier model, flow field dynamic feature set, and hazardous material data, a canal interception model is constructed and simulation analysis is conducted. This can simulate the migration and interception process of hazardous materials under actual working conditions, thereby obtaining interception effect evaluation results that are more consistent with engineering reality. Finally, by comparing and analyzing the interception data corresponding to different canal interception models and saving the optimal configuration parameters, it achieves optimized selection of debris barrier type, deployment method, and parameter configuration. This overcomes the problem that existing technologies rely on engineering experience and fixed interception rates, making it difficult to reflect real-world conditions, and improves the rationality, accuracy, and actual interception capability of the debris barrier system configuration scheme.

[0025] 2. This invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system. By introducing tidal characteristic data, current flow characteristic data, wind condition data, seawater velocity, and water intake flow rate, a hydrodynamic model is constructed. The model is then verified and iteratively corrected using measured current flow data, enabling the constructed flow field to more accurately reflect the actual hydrodynamic environment of the plant site and improving the reliability and accuracy of subsequent simulation of hazardous material migration and analysis of interception effects.

[0026] 3. This invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system. Based on water channel structure data, water channel size data, and data on the structure, mesh size, and structural dimensions of the debris-blocking net, a water channel interception model is constructed. The net is then configured according to the applicable flow field conditions and net setting principles for different types of debris-blocking nets. This allows each level of the debris-blocking net to fully exert its guiding, diverting, intercepting, and buffering functions, improving the overall interception efficiency of the debris-blocking system while reducing the risk of local blockage and operational resistance, thus enhancing the rationality of the debris-blocking system configuration scheme.

[0027] 4. This invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system. By mapping biological species, invasion amounts, population densities, individual size, and water distribution characteristics to a particle model library, and combining this with flow field dynamic feature sets to conduct particle motion and collision simulations, it achieves a quantitative characterization of the entire process of pollutant migration, aggregation, and interception. This method can systematically obtain key evaluation indicators such as interception rate and flow rate, effectively overcoming the systematic bias introduced by the traditional fixed interception rate assumption, and significantly improving the consistency between the pollution interception effect evaluation results and actual engineering operating conditions. It provides a theoretical basis and numerical support for the refined design and dynamic adaptive optimization of filtration systems. This invention can further support the quantitative assessment of the operational risks of filtration systems under different hydrological and biological conditions, providing technical assurance for reducing the risk of unit output reduction or even unplanned shutdowns caused by biological blockage at water intakes. It has significant engineering value in ensuring the continuous and safe operation of critical infrastructure such as nuclear power plants and seawater desalination plants. Attached Figure Description

[0028] The accompanying drawings, which form part of this specification, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 A flowchart illustrating a design method for a cascade filtration system according to one embodiment is shown; Figure 2 A two-dimensional schematic diagram of a water channel model of one embodiment is shown; Figure 3 A flow field distribution diagram corresponding to a surge in one embodiment is shown; Figure 4 A flow field distribution diagram corresponding to the drop slope in one embodiment is shown; Figure 5 A schematic diagram of a canal interception model according to one embodiment is shown; Figure 6 A schematic diagram of another canal interception model of one embodiment is shown; Figure 7 A schematic diagram of yet another canal interception model of one embodiment is shown; Figure 8 A simulation diagram of a hazard-causing agent is shown in one embodiment; Figure 9 A schematic diagram of a cascade filtration system design device according to one embodiment is shown; Figure 10 A schematic diagram of the structure of a cascade filtration system design product according to one embodiment is shown; Figure 11 A schematic diagram of the structure of an electronic device according to an embodiment is shown.

[0029] The above figures include the following reference numerals: 1. Inlet bend section; 2. Straight water conveyance section; 3. Inlet; 4. Guide net; 5. Trash screen; 51. Straight-line debris barrier; 52. Herringbone debris barrier; 53. Net bag type debris barrier; 54. Floating tube type debris barrier. Detailed Implementation

[0030] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0031] The present invention will be further described in detail below with reference to specific embodiments, which should not be construed as limiting the scope of protection claimed by the present invention.

[0032] Example

[0033] To address the challenge of accurately evaluating the actual interception effectiveness of debris-blocking nets under varying plant site environments, types of hazardous materials, and hydrodynamic conditions, and to optimize the net's parameter configuration accordingly, this invention proposes a design method, apparatus, storage medium, and electronic equipment for a cascade filtration system.

[0034] The embodiments of this application will be described in detail below with reference to the accompanying drawings and examples.

[0035] It should be noted that the terms "first," "second," etc., in the specification, claims, and drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0036] To achieve the above objectives, the present invention also proposes a design method for a cascade filtration system.

[0037] like Figure 1 The diagram illustrates a design method for a cascade filtration system according to an embodiment of the present invention. The process mainly includes the following steps: S101: Collect marine environmental data, canal data, debris-blocking net data, and disaster-causing material data.

[0038] Furthermore, marine environmental data includes tidal characteristics, current characteristics, wind conditions, seawater flow velocity, and water intake flow; water channel data includes water channel structure data and water channel size data; debris barrier data includes debris barrier structure type, mesh size, and structural size data; and disaster-causing data includes biological species, invasion amount, population density, individual size, and water body distribution characteristics.

[0039] Specifically, in this embodiment, the collected tidal and current characteristic data clearly show that the engineering sea area belongs to a regular diurnal tide with obvious tidal reciprocating flow characteristics. During high tide, tidal waves enter the engineering sea area from the southwest and propagate towards the northeast; during low tide, the water flow exits roughly in the opposite direction of the high tide. Regarding seawater velocity, during the summer and winter surveys, the high tide velocity is lower than the low tide velocity, and the velocity exhibits the characteristics of spring tide > mid-tide > neap tide. In the wind data, it can be seen that during the spring and mid-tide periods in summer, the prevailing wind is southerly (S), with the wind speed during spring tide being higher than that during mid-tide. The maximum annual average wind speed in the engineering sea area is 4.0 m / s. The dominant wind directions include N, NE, E, NW, and S. Since the coastline where the plant site is located in this embodiment follows a NE–SW direction, which is consistent with the direction of the tidal reciprocating flow, the most unfavorable wind direction is selected as the NE and SW directions, and the simulated wind speed is taken as the annual average wind speed of 4.0 m / s. The water intake flow rate is set according to the low tide velocity, which is the low tide velocity + 4.0 m / s. Specifically, the collected data on hazardous organisms revealed that summer is a season with a high risk of potential blockage outbreaks in the engineering area. The main hazardous organism is jellyfish, with a current monthly invasion density of 41 kg / km², an individual size of 10-30 cm, and a population density of 0.5-4.0 individuals / m². The water distribution characteristics include near-shore aggregation (≤5 km offshore) and the nuclear power plant operating in the middle and upper layers of the water (5-15 m deep). The above data provides the necessary natural environmental boundary conditions and biological input parameters for the construction of the hydrodynamic mathematical model of the water intake channel and the numerical simulation of the interception effect of the debris net.

[0040] Specifically, the data for the debris barrier nets includes the mesh size corresponding to the structure of the debris barrier nets. The mesh size of the straight debris barrier nets is 50mm, the mesh size of the herringbone debris barrier nets is 30mm, the mesh size of the net bag type debris barrier nets is 2mm, and the mesh size of the float type debris barrier nets is 50mm. The size data of the debris barrier nets is set according to the size data of the water channel.

[0041] S102: Construct a hydrodynamic model based on some of the marine environmental data, obtain a flow field dynamic feature set based on the hydrodynamic model, construct a water channel model based on the water channel data, and construct multiple debris barrier models based on the debris barrier data.

[0042] Furthermore, the hydrodynamic model is constructed in the simulation software, and the tidal characteristic data is input into the hydrodynamic model as boundary conditions for numerical simulation; the simulation results of the hydrodynamic model are verified using the tidal current characteristic data, and the parameters of the hydrodynamic model are iteratively adjusted according to the simulation results until the simulation results meet the preset accuracy requirements, thereby obtaining the corrected hydrodynamic model.

[0043] Specifically, in this embodiment, the calculation condition is based on high tide, and the simulation software used is MIKE. The MIKE series software is a hydrodynamic and water environment simulation software developed by the Danish Hydraulic Institute (DHI). It covers almost all water-related simulation needs, including one-dimensional, two-dimensional, and three-dimensional hydrodynamics, water quality, sediment, waves, and ecology, and is widely used in fields such as water conservancy, oceanography, environment, and coastal engineering. Based on the Navier-Stokes governing equations built into the MIKE software, and satisfying the Boussinesq assumption, the equations are closed through the continuity equation, momentum equation, temperature state equation, density state equation, and turbulence theory. The tidal field model in the hydrodynamic model is driven by the tidal boundary and surface wind stress. According to the measured data of the engineering site, the tidal level, velocity, and direction data consistent with the actual measurement point location and measurement time are extracted from the hydrodynamic model. By adjusting the bottom friction, turbulence coefficient, or Coriolis force parameters of the hydrodynamic model, it is ensured that the simulation results of the hydrodynamic model are consistent with the tidal process, velocity, and direction data of the known actual measurement points, thus completing the verification of the hydrodynamic model calculation results.

[0044] Preferably, for the hydrodynamic model, considering the suction effect of the nuclear power plant intake, the hydrodynamic field at the intake under different tidal currents, wind stresses, and suction conditions is accurately simulated. The flow velocity and direction of characteristic tides under different operating conditions are extracted to provide a basis for the design of the debris barrier. The external flow field of the existing intake open channel is analyzed based on the model results: During high water flow, the ocean current flows from the ocean to the intake under the action of the arc-shaped breakwater. A high-velocity core area (velocity > 0.50 m / s) is formed inside the intake and near the gate. There is a clockwise backflow structure on the inner side of the breakwater on the west side of the gate, and a low-velocity slow-flow area (velocity < 0.10 m / s) on the east side. During low water flow, the tidal current reverses, and the water flows out of the intake to the ocean. A counterclockwise backflow structure is formed in the gate area, and the high-velocity area is larger than during high water flow. The flow velocity in the middle section of the open channel increases to 0.25 m / s-0.40 m / s, while the low-velocity area on the east side of the gate is smaller.

[0045] Specifically, based on the data simulations performed in the above steps, flow field distribution diagrams at typical moments are obtained, such as... Figure 3 The diagram shown is the flow field distribution corresponding to rapid rise, such as... Figure 4 The diagram shows the distribution of the jet stream field, where different colors correspond to the flow velocities in the right-hand caption.

[0046] Furthermore, based on the verified hydrodynamic model described above, different spatial partitions can be set, and the flow velocity, flow direction, and flow rate corresponding to different points within each spatial partition can be extracted. Turbulence and eddies can also be set to construct a process dynamic feature set.

[0047] Further, a water channel model is constructed based on the water channel structure data and water channel size data collected in step S101.

[0048] Specifically, such as Figure 2 As shown, the intake bend section 1 is located at the inlet of the open channel. Its channel axis is set in an arc shape to adapt to the topographical conditions of the coastline or bank slope, and to guide and adjust the direction of the incoming flow, so that the external seawater can smoothly change direction when entering the open channel, reducing local turbulence and impact. The intake bend section 1 connects to the straight water conveyance section 2, which extends along a predetermined direction and forms a stable open channel water conveyance channel inside. The water flow is transported axially and directionally within this section. Figure 2 The direction indicated by the middle arrow is the main flow direction of the water in the open channel, and the straight water conveyance section connects to the factory's inlet 3.

[0049] Furthermore, based on the aforementioned debris barrier structure, mesh size, and structural size data, a debris barrier model library is constructed, which includes debris barrier models corresponding to straight debris barrier, herringbone debris barrier, net bag debris barrier, and float debris barrier.

[0050] S103: Based on the principle of setting up the debris barrier, the debris barrier model is placed in the water channel model to construct the water channel interception model. Simulation is performed based on the flow field dynamic feature set, the disaster-causing object data and the water channel interception model to obtain interception data of different water channel interception models.

[0051] Furthermore, the principles for setting up the debris barrier nets include: the mesh size of the debris barrier net model gradually decreases along the water flow direction; the straight debris barrier net is laid out in a direction perpendicular to the main flow direction; the herringbone debris barrier net is set in the area with a flow velocity of 0.20m / s-0.35m / s; the net bag type debris barrier net is set in the area with a flow velocity of 0.15m / s-0.30m / s; and the float type debris barrier net is laid out in a direction perpendicular to the main flow direction.

[0052] Specifically, different types of debris-blocking nets are designed based on the following principles: (1) Guide net: Arranged at the inlet of the canal, it undertakes the function of guiding and stabilizing the flow according to the requirements of graded interception, creating conditions for the subsequent cascade interception of pollutants. According to the flow velocity adaptation requirements, the guide net is deployed in the area where the flow velocity is greater than 0.15m / s, to avoid pollutants passing through the mesh or accumulating in front of the net due to the low flow velocity, thus failing to form an effective self-cleaning. According to the water flow angle adaptation requirements, the guide net is arranged in an arc shape and is tangent to the water flow direction, guiding floating pollutants to converge into the open channel through a smooth transition, avoiding turbulence caused by large-angle intersection with the water flow, which would lead to the diffusion of pollutants and affect the overall effect of the interception system. A reasonable distance is reserved between the guide net and the downstream straight interception net to meet the requirements of smooth hydraulic flow and cleaning operation space.

[0053] (2) Straight-line debris barrier (50mm): Arranged on the straight section at the inlet of the water channel, it serves as the first-stage coarse filtration unit according to the graded interception requirements. The mesh size is 50mm, used to intercept large floating debris such as tree branches and plastic waste, realizing the first-stage interception of the "coarse to fine" tiered filtration logic. According to the flow velocity adaptation requirements, the net is laid on a straight section with uniform and stable flow velocity, avoiding areas where the flow velocity increases sharply, ensuring stable debris interception effect, and facilitating subsequent net cleaning, maintenance, and control. According to the water flow angle adaptation requirements, the straight-line debris barrier is laid perpendicular to the mainstream flow direction, maximizing the effective debris interception area, improving pollutant capture efficiency, and reducing pollutants escaping from both sides of the net. The net maintains a reasonable distance from the upstream and downstream nets to avoid the superposition of water flow turbulence, while meeting the space requirements for cleaning operations.

[0054] (3) Herringbone-shaped debris barrier (25mm-35mm): Arranged on the straight section inside the left side of the embankment in the middle section of the canal, it serves as the second-stage filtration unit according to the graded interception requirements. The mesh size is 30mm, which receives medium-sized floating debris after the first-stage interception, achieving a gradual decrease in mesh size. According to the flow velocity adaptation requirements, this area is located between the downstream of the inlet backflow zone and the upstream of the high-velocity zone of the intake. The flow field is in a green and uniform zone with a flow velocity of 0.20m / s-0.35m / s. The water flow is gentle and controllable, and the flow pattern is mainly uniform during both high and low tides. The intercepted pollutants are not easily dispersed by the reverse flow, thus meeting the flow velocity adaptation requirements of the debris barrier. Based on the requirements for adapting to the water flow angle, the mainstream flow direction is as perpendicular as possible to the cross-section of the net, the V-shaped apex faces the direction of incoming flow, and the two sides of the net form an angle with the inner side of the embankment. This allows the water flow carrying floating materials to slide along the slope as it passes over the net, eventually accumulating in the low-velocity corner area where the bottom of the net meets the embankment, thus achieving the accumulation and convenient removal of pollutants. A reasonable distance is maintained between this net and the upstream and downstream nets to prevent upstream intercepted materials from being washed to downstream stages, while also avoiding excessively close spacing that could deteriorate hydraulic conditions.

[0055] (4) Net-type interceptor net (2mm-5mm): Arranged in the middle and later sections of the water channel, it serves as a fine filtration unit according to the requirements of graded interception. The mesh size is 2mm, which intercepts fine suspended pollutants and completes the fine filtration link in the cascade interception system. According to the flow velocity adaptation requirements, the net is deployed in the transition area with a flow velocity of 0.15m / s-0.30m / s, avoiding the high-speed zone (flow velocity > 0.50m / s) and the low-speed zone (flow velocity < 0.10m / s) near the bank of the open channel centerline, meeting the minimum flow velocity operation requirements of the net-type interceptor net, while avoiding the deformation or tearing of the net due to the impact of high-speed water flow. According to the water flow angle adaptation requirements, the angle between the net surface and the direction of water flow is not greater than 30°, to prevent pollutants from accumulating at the inlet and being difficult to guide into the net; the bottom of the net is set at an upward angle, and the angle between the bottom and the vertical is optimized at 71.5° to prevent the water flow from rolling back or overturning the net, ensuring that the intercepted pollutants are not easily lost with the water flow. This net maintains a reasonable distance from the preceding herringbone-shaped debris barrier to prevent the intercepted material from being washed into the net's inlet by the water flow and causing blockage.

[0056] (5) Floating-type debris barrier (50mm): Arranged in front of the water intake head, it serves as the final safety net according to the graded interception requirements. With a mesh size of 50mm, it prevents large foreign objects such as ropes from entering the water intake pumping station, providing final protection. Based on flow velocity adaptation requirements, this net is deployed in the relatively low and stable flow velocity area around the water intake head, avoiding the high-velocity core area where flow velocity increases sharply, reducing head loss and ensuring water intake safety. Based on flow angle adaptation requirements, the floating-type debris barrier is laid as perpendicular as possible to the mainstream direction to maximize the effective debris interception area and prevent pollutants from flowing around the sides of the net and entering the water intake head. Based on reasonable spacing requirements, a reasonable spacing of no less than the operating space is reserved between this net and each preceding net to meet hydraulic flow and daily maintenance needs, ensuring the overall stable and reliable operation of the system.

[0057] Specifically, different debris-blocking net models are placed at different positions within the water channel model to construct the water channel interception model. In this embodiment, three schemes are set up, where the water channel interception model corresponding to scheme 1 is as follows: Figure 5 As shown, this includes a model of a guide net 4 placed outside the water channel, a model of a straight-line debris barrier 51 located at the water channel inlet, a model of a herringbone-shaped debris barrier 52 located at the connection between the inlet bend section 1 and the straight water conveyance section 2, a model of a net-like debris barrier 53 located in the middle of the straight water conveyance section, and a model of a float-type debris barrier 54 located in the middle of the straight water conveyance section; the corresponding water channel interception model in scheme 2 is as follows: Figure 6As shown, this includes a model of a guide net 4 placed outside the canal, a model of a straight-line debris barrier 51 located at the canal inlet, a model of a herringbone-shaped debris barrier 52 located at the connection between the inlet bend section 1 and the straight conveying section 2, models of two net-bag type debris barriers 53 located in the middle of the straight conveying section, and a model of a float-type debris barrier 54 located in the middle of the straight conveying section; the corresponding canal interception model in scheme 3 is as follows: Figure 7 As shown, the models include a guide net 4 placed outside the water channel, a debris barrier 51 with a straight line at the water channel inlet, a herringbone debris barrier 52 at the connection between the inlet bend section 1 and the straight water conveyance section 2, three net-type debris barriers 53 in the middle of the straight water conveyance section, and a float-type debris barrier 54 in the middle of the straight water conveyance section. The arrangement parameters of the above three schemes are shown in Table 1 below.

[0058] Table 1 Parameters of the Canal Interception Model Scheme

[0059] Furthermore, a particle model library is constructed based on the data of the causative agents. This particle model library is used to simulate marine organisms that may be intercepted. The construction of the particle model library includes: mapping different biological species to multiple types of pollutant particles in discrete element computation, with multiple types of pollutant particles constituting the model library; determining the particle injection rate and time-related generation intensity of the pollutant particles based on the intrusion amount; constructing a spatial distribution function based on the population density to determine the initial spatial distribution of the pollutant particles in the computational domain; constructing a particle size distribution model of the pollutant particles based on the individual size, and randomly sampling and assigning sizes to multiple pollutant particles according to the particle size distribution model; and determining the initial velocity field of the pollutant particles based on the water body distribution characteristics.

[0060] Specifically, a particle model library is constructed based on the hazard data obtained in step S101. This library is used to characterize marine organisms that may enter the water intake channel and be intercepted by the cascade filtration system in the discrete element simulation environment. Taking the typical summer conditions of the engineering sea area as an example, historical monitoring data indicates that summer is a season with a high risk of potential blockage organism outbreaks, with jellyfish being the main hazard species. Jellyfish are mapped to pollution particles in the discrete element calculation, and a pollution particle model corresponding to jellyfish is established as a type of pollution particle in the particle model library. Based on the intrusion data obtained from monitoring, the generation intensity of jellyfish pollution particles is determined, using a weight resource density of 41 kg / km² as the boundary input parameter, and converted into the corresponding particle size based on the simulation time step. The particle injection rate is used to continuously introduce particles into the computational domain, simulating the migration process of jellyfish populations towards the water intake area in actual sea areas. A spatial distribution function is constructed based on population density data. Monitoring results show that the jellyfish population density is 0.5 individuals / m²-4.0 individuals / m². The jellyfish population density is multiplied by the corresponding generation parameter based on the generation intensity. For example, the generation parameter is 1.2 during the peak growth season and 0.9 during the off-season. In this embodiment, the generation parameter is 1. Therefore, the initial particle positions are generated in a random distribution manner within the computational domain, and the particle density is made to meet the monitored population density range, thereby simulating the spatial distribution characteristics of jellyfish populations under natural conditions. A particle size distribution model is established based on individual size data. Monitoring results indicate that jellyfish individuals range in size from 10cm to 30cm. Therefore, a random sampling method was used to generate particles with equivalent diameters within this size range, and corresponding pollutant particle size parameters were assigned. The particle size, i.e., the jellyfish size, could be set to 10cm, 11cm, 12cm, 13cm, 14cm, 15cm, 16cm, 17cm, 18cm, 19cm, 20cm, 21cm, 22cm, 23cm, 24cm, 25cm, 26cm, 27cm, 29cm, 29cm, and 30cm, allowing the simulation model to reflect the differences in motion and interception characteristics of jellyfish of different sizes in the flow field. The initial position and initial velocity conditions of the particles were determined based on the water distribution characteristics. Monitoring results show that jellyfish are mainly distributed in nearshore waters within 5km of the shore, and primarily active in the middle and upper water layers, i.e., the water depth range of 5m-15m. Therefore, particles were generated within this nearshore area, and the initial particle height was set within the corresponding water layer range. The initial velocity of the particles can be assigned based on the set of dynamic characteristic parameters of the flow field calculated by the hydrodynamic model, so that the direction of particle motion is consistent with the local flow direction and the velocity of the particles is matched with the local flow velocity.

[0061] Furthermore, the biosphere data is initialized, and the pollutant particles in the model particle library are distributed in Ansys software according to their initial spatial locations to set up a pollutant particle swarm. For each pollutant particle, the size is randomly sampled and assigned according to the particle size distribution model. The corresponding particle injection rate and initial velocity field are set. The hydrodynamic model sets the flow field dynamic characteristic parameters to the pollutant particles to set the operating state. At this time, all pollutant particles are used as the simulation conditions for simulation.

[0062] Furthermore, the deformation morphology of the debris-blocking net in the flow field of the above water channel interception model is obtained. Then, the debris-blocking net is geometrically reconstructed. That is, the exported model is opened in the modeling software, and the corresponding points are plotted. A spline curve is fitted and generated. The spline curve is arrayed along the longitudinal direction, and the vertical line of the array boundary is scanned along the spline curve to construct the mesh. The mesh is stretched to realize the reconstruction of the corresponding thickness of the debris-blocking net. The deformed debris-blocking net model is then imported into discrete element software, such as... Figure 8 The above simulated conditions are loaded into the model to realize the modeling of individual disaster-causing organisms and the initial generation of biological communities. Then, the characteristics of the discrete element method are used to obtain the interception rate and water flow rate, i.e., the interception data.

[0063] Specifically, in this embodiment, the pollutant particles are randomly generated between 10cm and 25cm. The interception data corresponding to Scheme 1 is shown in Table 2 below, where 'a' is the intrusion intensity of the pollutant (in tons per hour), and 'c' is the maximum load that a single unit of two drum screens can bear (in tons per hour). If the maximum interception intensity 0.52a > c, it does not meet the requirements; if the maximum interception intensity 0.52a ≤ c, it meets the requirements. The interception data corresponding to Scheme 2 is shown in Table 3 below, where if the maximum interception intensity 0.234a > c, it does not meet the requirements; if the maximum interception intensity 0.234a ≤ c, it meets the requirements. The interception data corresponding to Scheme 3 is shown in Table 4 below, where if the maximum interception intensity 0.0819a > c, it does not meet the requirements; if the maximum interception intensity 0.0819a ≤ c, it meets the requirements. The water flow rates for Schemes 1, 2, and 3 are 73%Q, 66%Q, and 60%Q, respectively.

[0064] Table 2. Data intercepted by Scheme 1

[0065] Table 3. Intercepted Data for Scheme 2

[0066] Table 4. Intercepted Data for Scheme 3

[0067] S104: Based on the comparison of the interception data, save the further configuration parameters corresponding to the optimal water channel interception model.

[0068] Furthermore, the cost of different canal interception models is compared with the corresponding interception data based on verification rules, and the canal interception models that satisfy the verification rules are saved.

[0069] Furthermore, the verification rules include: setting an interception threshold and a cost threshold, calculating the corresponding costs according to the water channel interception model, and selecting the water channel interception model with the lowest cost among the water channel interception models that meet the interception threshold and the cost threshold, and saving it.

[0070] Specifically, in this embodiment, the interception threshold is set to 90%, and the cost threshold is set to less than 100 million yuan. The corresponding costs are calculated according to the above three schemes, as shown in Table 5 below. Only Scheme 3 meets the required interception threshold and is lower than the cost threshold. Therefore, the water channel interception model corresponding to Scheme 3 is selected and saved.

[0071] Table 5 Cost Details Correspondence Table

[0072] In other embodiments, the verification rules also include setting a water intake threshold based on the water flow rate. If the water flow rate obtained after the simulation of the scheme is lower than the water intake threshold, the water channel interception model corresponding to the scheme is eliminated.

[0073] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0074] Based on another aspect of the embodiments of this application, the present invention also provides a design device for a cascade filtration system. For example... Figure 9 As shown, the device includes: The data acquisition module 901 is used to collect marine environmental data, canal data, debris-blocking net data, and disaster-causing material data. Construction module 902 is used to construct a hydrodynamic model based on some of the marine environmental data, obtain a flow field dynamic feature set based on the hydrodynamic model, construct a water channel model based on the water channel data, and construct multiple debris barrier models based on the debris barrier data. The simulation module 903 is used to place the debris-blocking net model in the water channel model according to the debris-blocking net setting principle to construct a water channel interception model, and to perform simulation based on the flow field dynamic feature set, the disaster-causing object data and the water channel interception model to obtain interception data of different water channel interception models; The determination module 904 is used to compare the interception data and save the configuration parameters corresponding to the optimal water channel interception model.

[0075] As an optional solution, the above-mentioned device is also used for: the marine environmental data, including: tidal characteristic data, current characteristic data, wind condition data, seawater flow velocity and water intake flow rate.

[0076] As an optional solution, the above-mentioned device is also used to: construct a hydrodynamic model based on some of the marine environmental data, including: constructing the hydrodynamic model in simulation software, and inputting the tidal characteristic data as boundary conditions into the hydrodynamic model for numerical simulation; using the tidal current characteristic data to verify the simulation results of the hydrodynamic model, and iteratively adjusting the parameters of the hydrodynamic model according to the simulation results until the simulation results meet the preset accuracy requirements, thereby obtaining the corrected hydrodynamic model.

[0077] As an optional solution, the above-mentioned device is also used for: the water channel data, including: water channel structure data and water channel size data.

[0078] As an optional solution, the above-mentioned device is also used for: the data of the debris barrier net, including: the structure form of the debris barrier net, the mesh size and the structural size data.

[0079] As an optional solution, the above-mentioned device is also used to: construct a water channel interception model by placing the debris barrier model in the water channel model according to the debris barrier setting principle, including: the debris barrier structure includes a straight debris barrier, a herringbone debris barrier, a net-type debris barrier, and a float-type debris barrier, and different debris barrier models are placed in different positions in the water channel model according to the debris barrier setting principle.

[0080] As an optional solution, the above-mentioned device is also used for: the setting principles of the debris barrier net, including: the mesh size of the debris barrier net model gradually decreases along the water flow direction; the straight debris barrier net is arranged in a direction perpendicular to the main flow direction; the herringbone debris barrier net is set in the area with a flow velocity of 0.20m / s-0.35m / s; the net bag type debris barrier net is set in the area with a flow velocity of 0.15m / s-0.30m / s; and the float type debris barrier net is arranged in a direction perpendicular to the main flow direction.

[0081] As an optional solution, the above-mentioned device is also used for: the disaster-causing data, including: biological species, invasion amount, population density, individual size and water distribution characteristics.

[0082] As an optional solution, the above-mentioned device is also used for: performing simulation based on the flow field dynamic feature set, the disaster-causing material data, and the water channel interception model, including: importing the water channel interception model into simulation software, constructing a particle model library based on the disaster-causing material data, and simulating the water channel interception model based on the particle model library and the flow field dynamic feature set.

[0083] As an optional solution, the above-mentioned device is also used to: construct a particle model library based on the hazard data, including: mapping different biological species to multiple types of pollutant particles in discrete element computation, wherein multiple types of pollutant particles constitute the model library; determining the particle injection rate related to the generation intensity and time of the pollutant particles based on the invasion amount; constructing a spatial distribution function based on the population density to determine the initial spatial distribution of the pollutant particles in the computational domain; constructing a particle size distribution model of the pollutant particles based on the individual size, and randomly sampling and assigning sizes to multiple pollutant particles according to the particle size distribution model; and determining the initial velocity field of the pollutant particles based on the water body distribution characteristics.

[0084] As an optional solution, the above-mentioned device is also used to: simulate the canal interception model based on the particle model library and the flow field dynamic feature set, including: setting simulation conditions based on the flow field dynamic feature set and the particle model library, the simulation conditions including the pollutant particles and their corresponding sizes, the generation intensity, the particle injection rate, the initial spatial location distribution and the initial velocity field, inputting the simulation conditions into simulation software to initialize biomesin data, and simulating collision scenarios with the biomesin data to obtain the interception data.

[0085] As an optional solution, the above-mentioned device is also used for: the interception data, including: interception rate and water flow rate.

[0086] As an optional solution, the above-mentioned device is also used to: compare the interception data and save the configuration parameters corresponding to the optimal water channel interception model, including: comparing the cost of different water channel interception models with the corresponding interception data based on verification rules, and saving the water channel interception models that satisfy the verification rules.

[0087] As an optional solution, the above-mentioned device is also used to: set verification rules including: setting an interception threshold and a cost threshold, calculating the corresponding costs according to the water channel interception model respectively, and selecting the water channel interception model with the lowest cost among the water channel interception models that meet the interception threshold and the cost threshold and saving it.

[0088] In this application embodiment, the terms "module" or "unit" refer to a computer program or part of a computer program that has a predetermined function and works with other related parts to achieve a predetermined goal, and can be implemented wholly or partially using software, hardware (such as processing circuitry or memory), or a combination thereof. Similarly, a processor (or multiple processors or memory) can be used to implement one or more modules or units. Furthermore, each module or unit can be part of an overall module or unit that includes the functionality of that module or unit.

[0089] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0090] According to one aspect of this application, a computer program product is provided, the computer program product comprising a computer program.

[0091] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0092] Figure 10 A schematic block diagram of a computer system architecture for implementing an electronic device according to embodiments of the present application is shown.

[0093] It should be noted that, Figure 10 The computer system 1000 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0094] like Figure 10 As shown, the computer system 1000 includes a central processing unit (CPU) 1001, which is coupled to a read-only memory (ROM) 1002. The CPU 1001 can perform various appropriate actions and processes based on programs stored in the ROM or loaded from storage section 1008 into random access memory (RAM). The RAM also stores various programs and data required for system operation. The CPU 1001, ROM 1002, and RAM 1003 are interconnected via a bus 1004. An input / output interface 1005 (I / O interface) is also connected to the bus 1004.

[0095] The following components are connected to the input / output interface 1005: Input section 1006, including but not limited to one or more of the following: keyboard, mouse, touch screen, touchpad, buttons, microphone, camera, biometric device, and various sensors; Output section 1007, including but not limited to one or more of the following: display (e.g., liquid crystal display (LCD), organic light-emitting diode display (OLED), mini-LED display, micro-LED display, e-ink screen, head-up display (HUD), etc.), speaker, buzzer, indicator light, vibration device, etc.; Storage section 1008, including but not limited to hard disk, solid-state drive, flash memory, etc. (the specific types can be found in the relevant description of memory in this application); and Communication section 1009, including one or more of the following: wired communication modules (e.g., local area network (LAN) card, modem, Ethernet interface, CAN bus interface, USB interface, serial interface, etc.) and / or wireless communication modules (e.g., Wi-Fi module, Bluetooth module, Zigbee module, LoRa module, 4G / 5G communication module, NB-IoT module, etc.). The communication unit 1009 performs communication processing via networks such as the Internet, local area network, wide area network, and vehicle networks (such as CAN bus, vehicle Ethernet). The driver 1010 can also be connected to the input / output interface 1005 as needed. Removable media 1011, such as disks, optical disks, magneto-optical disks, semiconductor memory, USB flash drives, memory cards (such as SD cards, TF cards), etc., can be installed on the driver 1010 as needed so that computer programs read from them can be installed into the storage unit 1008 as needed.

[0096] Specifically, according to embodiments of this application, the processes described in the various method flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 1009, and / or installed from removable medium 1011. When the computer program is executed by central processing unit 1001, it performs various functions defined in the system of this application.

[0097] According to another aspect of the embodiments of this application, an electronic device for a cascade filtration system design method is also provided. This embodiment uses this electronic device as an example of a terminal device for illustration. Figure 11As shown, the electronic device includes a memory 1102 and a processor 1104. The memory 1102 stores a computer program, and the processor 1104 is configured to execute the steps of any of the above method embodiments via the computer program.

[0098] Optionally, in this embodiment, the aforementioned electronic device may be located in at least one of a plurality of network devices in a computer network.

[0099] Optionally, in this embodiment, the processor may be configured to execute the methods in the embodiments of this application via a computer program.

[0100] Alternatively, as those skilled in the art will understand, Figure 11 The structure shown is for illustrative purposes only. Figure 11 This does not limit the structure of the aforementioned electronic devices. For example, the electronic device may also include components that are more... Figure 11 The more or fewer components shown (such as network interfaces, etc.), or having the same Figure 11 The different configurations shown.

[0101] The memory 1102 can be used to store software programs and modules, such as the program instructions / modules corresponding to the cascade filtration system design method and device in this embodiment. The processor 1104 is coupled to the memory 1102. By running the software programs and modules stored in the memory 1102, various functional applications and data processing are executed, thereby realizing the aforementioned cascade filtration system design method. In some instances, the memory 1102 may further include a memory remotely located relative to the processor 1104. These remote memories can be connected to a terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof. Specifically, the memory 1102 can be used, but is not limited to, to store collected marine environmental data, canal data, debris-blocking net data, and disaster-causing material data. As an example, such as... Figure 11 As shown, the memory 1102 may include, but is not limited to, the acquisition module 901, construction module 902, simulation module 903, and determination module 904 in the aforementioned cascade filtering system design device. Furthermore, it may include, but is not limited to, other module units in the aforementioned device, which will not be elaborated upon in this example.

[0102] Optionally, the transmission device 1106 described above is used to receive or send data via a network. Specific examples of the network described above may include wired networks and wireless networks. In one example, the transmission device 1106 includes a Network Interface Controller (NIC), which can be connected to other network devices and routers via a network cable to communicate with the Internet or a local area network. In another example, the transmission device 1106 is a Radio Frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0103] In addition, the aforementioned electronic device also includes: a display 1108 for displaying the aforementioned marine environmental data, canal data, debris net data, and disaster-causing material data; and a connection bus 1110 for connecting the various module components in the aforementioned electronic device.

[0104] In the embodiments of this application, the processor can be any hardware unit with data processing and instruction execution capabilities, including but not limited to a central processing unit (CPU), microprocessor, microcontroller unit (MCU), digital signal processor (DSP), graphics processing unit (GPU), neural processing unit (NPU), tensor processing unit (TPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), complex programmable logic device (CPLD), system-on-chip (SoC), microcontroller, or any combination of the above devices. The processor can be a single-core processor or a multi-core processor; it can be integrated into a single chip or distributed across multiple chips or multiple physical devices.

[0105] In embodiments of this application, the memory may include random access memory (RAM), such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), etc. The memory may also include non-volatile memory, such as read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory (including but not limited to NAND Flash, NOR Flash), solid-state drive (SSD), embedded multimedia card (eMMC), universal flash storage (UFS), magnetic storage devices (such as hard disks), ferroelectric memory (FRAM), magnetoresistive memory (MRAM), phase-change memory (PCM), resistive random access memory (ReRAM), or one or more other non-volatile solid-state storage media.

[0106] In this application, "memory," "computer-readable storage medium," and "computer-readable medium" refer to the same or related concepts and can be used interchangeably. Specifically, when the aforementioned types of memory are used to store computer program instructions and / or data, they constitute the computer-readable storage medium as referred to in this application; conversely, the physical implementation of the computer-readable storage medium as referred to in this application can be any one or more of the aforementioned types of memory. Those skilled in the art should understand that the computer-readable storage medium can be a single medium or a distributed medium (e.g., a combination of storage media distributed across multiple physical devices or multiple chips).

[0107] In this application, the computer-readable storage medium is a non-transitory computer-readable storage medium, which refers to a physical storage device capable of storing information in a non-transitory manner. This includes, but is not limited to, various types of random access memory, read-only memory, flash memory, solid-state drives, magnetic storage devices, and other storage media with physical form, but excludes transiently propagating signals themselves (such as electromagnetic carrier waves, modulation signals, etc.). Those skilled in the art should understand that "non-transitory" here means that the storage medium has a persistent physical form relative to transiently propagating signals, and does not limit the storage medium to be non-volatile memory; although the aforementioned types of random access memory are volatile memories, they still fall under the category of non-transitory computer-readable storage media as defined in this application.

[0108] According to one aspect of this application, a computer-readable storage medium is provided, wherein a processor of an electronic device reads computer instructions from the computer-readable storage medium, and executes the computer instructions, causing the electronic device to perform a cascade filtering system design method provided in one of the various alternative implementations of the above-described cascade filtering system design.

[0109] Optionally, in this embodiment, the computer-readable storage medium described above may be configured to store methods for performing the embodiments of this application.

[0110] Optionally, in this embodiment, those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device, and the program can be stored in a computer-readable storage medium.

[0111] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0112] If the integrated units in the above embodiments are implemented as software functional units and sold or used as independent products, they can be stored in the aforementioned computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause one or more electronic devices to execute all or part of the steps of the methods described in the various embodiments of this application.

[0113] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0114] In the several embodiments provided in this application, it should be understood that the disclosed application can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between units or modules may be electrical or other forms.

[0115] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0116] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0117] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0118] In summary, as can be seen from the above description, the embodiments of the present invention achieve the following technical effects: 1. This invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system. By collecting marine environmental data, canal data, debris barrier data, and hazardous material data, it provides comprehensive basic data support for subsequent model construction, improving the adaptability of analysis results to actual engineering environments. Furthermore, by constructing a hydrodynamic model and extracting a flow field dynamic feature set, it can reflect the actual flow velocity, flow direction, and flow regime distribution characteristics of the water intake area, ensuring that the debris barrier system design fully considers the impact of the actual hydrodynamic environment. Subsequently, based on the canal model, debris barrier model, flow field dynamic feature set, and hazardous material data, a canal interception model is constructed and simulation analysis is conducted. This can simulate the migration and interception process of hazardous materials under actual working conditions, thereby obtaining interception effect evaluation results that are more consistent with engineering reality. Finally, by comparing and analyzing the interception data corresponding to different canal interception models and saving the optimal configuration parameters, it achieves optimized selection of debris barrier type, deployment method, and parameter configuration. This overcomes the problem that existing technologies rely on engineering experience and fixed interception rates, making it difficult to reflect real-world conditions, and improves the rationality, accuracy, and actual interception capability of the debris barrier system configuration scheme.

[0119] 2. This invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system. By introducing tidal characteristic data, current flow characteristic data, wind condition data, seawater velocity, and water intake flow data, a hydrodynamic model is constructed. The model is then verified and iteratively corrected using measured current flow data, enabling the constructed flow field to more accurately reflect the actual hydrodynamic environment of the plant site and improving the reliability and accuracy of subsequent simulation of hazardous material migration and analysis of interception effects.

[0120] 3. This invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system. Based on water channel structure data, water channel size data, and data on the structure, mesh size, and structural dimensions of the debris-blocking net, a water channel interception model is constructed. The net is then configured according to the applicable flow field conditions and net setting principles for different types of debris-blocking nets. This allows each level of the debris-blocking net to fully exert its guiding, diverting, intercepting, and buffering functions, improving the overall interception efficiency of the debris-blocking system while reducing the risk of local blockage and operational resistance, thus enhancing the rationality of the debris-blocking system configuration scheme.

[0121] 4. This invention proposes a design method, device, storage medium, and electronic equipment for a cascade filtration system. By mapping biological species, invasion amounts, population densities, individual size, and water distribution characteristics to a particle model library, and combining this with flow field dynamic feature sets to conduct particle motion and collision simulations, it achieves a quantitative characterization of the entire process of pollutant migration, aggregation, and interception. This method can systematically obtain key evaluation indicators such as interception rate and flow rate, effectively overcoming the systematic bias introduced by the traditional fixed interception rate assumption, and significantly improving the consistency between the pollution interception effect evaluation results and actual engineering operating conditions. It provides a theoretical basis and numerical support for the refined design and dynamic adaptive optimization of filtration systems. This invention can further support the quantitative assessment of the operational risks of filtration systems under different hydrological and biological conditions, providing technical assurance for reducing the risk of unit output reduction or even unplanned shutdowns caused by biological blockage at water intakes. It has significant engineering value in ensuring the continuous and safe operation of critical infrastructure such as nuclear power plants and seawater desalination plants.

[0122] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0123] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0124] It should be noted that, in the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

Claims

1. A design method for a cascade filtration system, characterized in that, include: Collect marine environmental data, canal data, debris-blocking net data, and disaster-causing material data; A hydrodynamic model is constructed based on some of the marine environmental data; a flow field dynamic feature set is obtained based on the hydrodynamic model; a canal model is constructed based on the canal data; and multiple debris-blocking net models are constructed based on the debris-blocking net data. According to the principle of setting up the debris barrier, the debris barrier model is placed in the water channel model to construct the water channel interception model. Simulation is performed based on the flow field dynamic feature set, the disaster-causing object data and the water channel interception model to obtain interception data of different water channel interception models. Based on the comparison of the interception data, the configuration parameters corresponding to the optimal water channel interception model are saved.

2. The method according to claim 1, characterized in that, The marine environmental data includes: Tidal characteristics data, tidal current characteristics data, wind conditions data, seawater flow velocity, and water intake flow rate.

3. The method according to claim 2, characterized in that, A hydrodynamic model is constructed based on some of the marine environmental data described above, including: The hydrodynamic model is constructed in the simulation software, and the tidal characteristic data is input into the hydrodynamic model as boundary conditions for numerical simulation. The simulation results of the hydrodynamic model are checked using the tidal current characteristic data. The parameters of the hydrodynamic model are iteratively adjusted according to the simulation results until the simulation results meet the preset accuracy requirements, and the corrected hydrodynamic model is obtained.

4. The method according to claim 1, characterized in that, The water channel data includes water channel structure data and water channel size data.

5. The method according to claim 1, characterized in that, The data of the pollution interception net includes: Data on the structure, mesh size, and structural dimensions of the debris-blocking net.

6. The method according to claim 5, characterized in that, Based on the principles of setting up debris barriers, the debris barrier model is placed within the water channel model to construct a water channel interception model, including: The structure of the debris barrier includes a straight debris barrier, a herringbone debris barrier, a net-type debris barrier, and a floating debris barrier. According to the debris barrier setting principle, different debris barrier models are placed in different positions in the water channel model.

7. The method according to claim 6, characterized in that, The principles for setting up the pollution interception net include: The mesh size of the debris-blocking net model decreases progressively along the water flow direction; The linear debris-blocking net is laid out in a direction perpendicular to the main flow direction; The herringbone-shaped debris barrier is installed in an area with a flow velocity of 0.20 m / s to 0.35 m / s; The net-type debris barrier is installed in an area with a flow velocity of 0.15m / s-0.30m / s; The floating debris barrier is laid out in a direction perpendicular to the main flow direction.

8. The method according to claim 1, characterized in that, The data on the hazard-causing agent includes: Biological species, invasion amount, population density, individual size, and water body distribution characteristics.

9. The method according to claim 8, characterized in that, Simulations are performed based on the aforementioned flow field dynamic feature set, the disaster-causing object data, and the canal interception model, including: The water channel interception model is imported into simulation software, a particle model library is constructed based on the disaster-causing material data, and the water channel interception model is simulated based on the particle model library and the flow field dynamic feature set.

10. The method according to claim 9, characterized in that, Based on the disaster-causing agent data, a particle model library is constructed, including: Different biological species are mapped to various types of pollution particles in discrete element computation, and the various pollution particles constitute the model library; The generation intensity and time-related particle injection rate of the contaminant particles are determined based on the intrusion amount. A spatial distribution function is constructed based on the population density to determine the initial spatial distribution of the pollutant particles in the computational domain. A particle size distribution model of the pollutant particles is constructed based on the individual particle size, and the size of multiple pollutant particles is randomly sampled and assigned according to the particle size distribution model; The initial velocity field of the pollutant particles is determined based on the water body distribution characteristics.

11. The method according to claim 10, characterized in that, The water channel interception model is simulated based on the particle model library and the flow field dynamic feature set, including: Based on the flow field dynamic feature set and the particle model library, simulation conditions are set. The simulation conditions include the pollutant particles and their corresponding sizes, the generation intensity, the particle injection rate, the initial spatial distribution, and the initial velocity field. The simulation conditions are input into the simulation software to initialize the biosphere data, and the biosphere data is used to simulate collision scenarios to obtain the interception data.

12. The method according to claim 1, characterized in that, The interception data includes the interception rate and the water flow rate.

13. The method according to claim 1, characterized in that, Based on the comparison of the interception data, the configuration parameters corresponding to the optimal water channel interception model are saved, including: Based on the cost of different water channel interception models and the corresponding interception data, a verification rule is used to compare the water channel interception models that meet the verification rule, and the models that meet the verification rule are saved.

14. The method according to claim 13, characterized in that, The verification rules include: Set an interception threshold and a cost threshold, calculate the corresponding cost according to the water channel interception model, and select the water channel interception model with the lowest cost among the water channel interception models that meet the interception threshold and the cost threshold and save it.

15. A design device for a cascade filtration system, characterized in that, include: The data acquisition module is used to collect marine environmental data, canal data, debris-blocking net data, and disaster-causing material data. The construction module is used to construct a hydrodynamic model based on some of the marine environmental data, obtain a flow field dynamic feature set based on the hydrodynamic model, construct a canal model based on the canal data, and construct multiple debris-blocking net models based on the debris-blocking net data. The simulation module is used to place the debris-blocking net model into the water channel model according to the debris-blocking net setting principle to construct a water channel interception model, and to perform simulation based on the flow field dynamic feature set, the disaster-causing object data and the water channel interception model to obtain interception data of different water channel interception models; The determination module is used to compare the interception data and save the configuration parameters corresponding to the optimal water channel interception model.

16. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein the computer program, when executed by an electronic device, performs the method according to any one of claims 1 to 14.

17. A computer program product, comprising a computer program, characterized in that, When executed by a processor, the computer program implements the steps of the method according to any one of claims 1 to 14.

18. An electronic device comprising a memory and a processor, characterized in that, The memory stores a computer program, and the processor is configured to execute the method according to any one of claims 1 to 14 through the computer program.

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