Configuration design method and device for trash holding net of step filtering system

Abstract

The invention discloses a trash holding net configuration design method and device of a cascade filtering system. The method comprises the steps that input parameters and a trash holding net constraint equation of a cascade filtering system multi-objective optimization model are determined based on a power plant operation environment; and based on the input parameters and the constraint equation, optimizing the head loss and the total cost of the system by using a multi-objective optimization algorithm, and generating an optimal configuration scheme. The input parameters comprise environment parameters and cascade filtering system parameters. The environmental parameters comprise one or more of topographic feature parameters, biological feature parameters and hydro-meteorological feature parameters. According to different power plant site conditions, a personalized cascade filter system trash holding net configuration scheme suitable for different sites can be quickly and accurately optimized by using a multi-objective optimization algorithm.

Description

Technical Field

[0001] The present invention relates to the technical field of nuclear power cold source safety, and particularly relates to a design method and device for the configuration of a trash rack in a cascade filtration system. Background Art

[0002] In a nuclear power plant, the cold source system depends on the normal operation of the seawater intake system to ensure the cooling of the nuclear reactor. However, in recent years, with the change of the marine ecological environment, a large number of marine organisms (such as Acetes chinensis, jellyfish, Enteromorpha prolifera, etc.) have invaded the intake of the nuclear power plant, resulting in serious blockage of the intake, and then affecting the normal operation of the cold source system. This may not only lead to the derating operation of the nuclear power unit, but even cause major safety accidents such as reactor shutdown, threatening the overall safety of the nuclear power plant. Therefore, power plants often adopt the method of adding trash rack facilities in the intake channel to block the disaster-causing substances. Multiple trash rack facilities together constitute the cascade filtration system for nuclear power water intake, which filters the disaster-causing substances in seawater hierarchically. Through layers of trash rack facilities, the disaster-causing substances are prevented from entering the intake of the unit pump house. Therefore, this system is called the cascade filtration system for nuclear power water intake. Due to the advantages of easy disassembly and replacement and large corrosion resistance and flexibility of the flexible trash rack, it has been widely used in the cascade filtration system for nuclear power water intake in recent years. In the cascade filtration system for nuclear power water intake, a single layer or multiple layers of trash racks are moored to the pile foundation by cables. However, due to the coupling of tidal currents and other effects in the actual coastal environment, the trash rack generates complex dynamic responses in the flow field environment, and then drag force will be generated on the mooring cables. Under the interaction of its own flexibility and the inertial motion of the flow field, there are safety risks such as the breakage of the mooring cable and the damage of the netting of the flexible trash rack.

[0003] There is no corresponding design method and theoretical guidance for the layout of the trash rack in the existing cascade filtration system. At present, the design of the trash rack in the nuclear power water intake project is mainly selected and arranged according to engineering experience and qualitative analysis, forming a situation of "one plant, one strategy", lacking systematic research on the optimal configuration of the cascade filtration system and objective data. There are two difficulties in constructing the optimal configuration method of the cascade filtration system: 1) Due to the lack of quantitative evaluation data such as the interception rate and water flow rate of the trash rack, it is impossible to quantitatively judge the trash racking effect and blockage situation of different types of trash racks under different working conditions; 2) The trash racking effect and operating state of the trash rack are affected by many complex factors such as the sea area terrain conditions, meteorological conditions, hydrological conditions, blockage conditions and intake channel engineering parameters of the nuclear power plant site. Traditional technical means cannot accurately predict and evaluate the trash racking effect under complex factors.

[0004] The existing patent CN113987621A discloses a method for designing a trash-blocking net based on water resistance, which includes the following steps: selecting a trash-blocking mode according to the interception object, flow velocity, and wind and waves; estimating and allocating the scale and specifications of the trash-blocking net, and conducting mechanical calculation and analysis; and verifying whether the design performance meets the design requirements; designing the trash-blocking net according to the corresponding mode, the trash-blocking net is composed of the first plane net, the second net bag, and the Nth net bag; selecting the anchoring and buoyancy force equipment system according to the corresponding mode for combined construction. Through the theoretical calculation of the overall and local forces of the net, combined with the regression curve analysis of the net model test results, the main parameters of the trash-blocking net and the performance indicators that can be achieved are determined under the condition of reasonably setting the safety factor.

[0005] The existing patent CN116108756A discloses a method, device, computer equipment and storage medium for determining a trash net arrangement scheme. The method comprises: in response to a trash net arrangement request, obtaining at least two first trash net arrangement schemes and at least two second trash net arrangement schemes, determining the tension of the trash net in a balanced state under each first trash net arrangement scheme and the tension of the trash net in a balanced state under each second trash net arrangement scheme, and then determining the target trash net arrangement scheme according to the tension of the trash net in a balanced state under each first trash net arrangement scheme and the tension of the trash net in a balanced state under each second trash net arrangement scheme.

[0006] In summary, the above two existing patents have not solved the problem that the existing technology cannot quantitatively judge the pollution interception effect and blockage situation of different types of pollution interception nets under different working conditions when constructing the optimal configuration of the cascade filtration system, and cannot accurately predict and evaluate the pollution interception effect under complex factors. Summary of the invention

[0007] Based on the above technical problems, the present invention proposes a method and device for designing the configuration of a trash net for a cascade filtration system, which solves the problems in the prior art of being unable to quantitatively judge the trash interception effect and blockage conditions of different types of trash nets under different working conditions when constructing the optimal configuration of a cascade filtration system, and being unable to accurately predict and evaluate the trash interception effect under complex factors.

[0008] A method for designing a trash screen configuration for a cascade filtration system, comprising:

[0009] Determine the input parameters and screen constraint equations of the multi-objective optimization model of the cascade filtration system based on the power plant operating environment;

[0010] Based on the input parameters and the constraint equations, a multi-objective optimization algorithm is used to optimize the comprehensive interception rate, head loss and total system cost and generate an optimal interception configuration plan.

[0011] Further, the input parameters include: environmental parameters and parameters of the cascade filtration system.

[0012] Further, the environmental parameters include one or more of: terrain feature parameters, biological feature parameters, and hydro-meteorological feature parameters.

[0013] Further, the terrain feature parameters include the width of the water intake of the nuclear power plant; the biological feature parameters include the biomass and biological species at the water intake of the nuclear power plant; the hydro-meteorological feature parameters include one or more of the flow velocity, wave height, and wave period at the water intake of the nuclear power plant.

[0014] Further, the parameters of the cascade filtration system include one or more of: the fishing distance, the number of pulling points at different positions, the unit price of pile foundations, the unit price of flat nets, the unit price of the net pocket, the length of the tail pocket of the net pocket, the angle between the net pocket and the flow direction, the width of the water intake, the underwater depth of the net, and the number of rows of trash racks.

[0015] Further, the types of trash racks include: flat nets and / or net pockets.

[0016] Further, the trash rack constraint equations include the trash rack tension constraint equation and the trash rack length constraint equation. Further, the trash rack tension constraint equation is expressed as: where, F 静 is the hydrostatic tension on the trash rack, F 动 is the hydrodynamic tension on the trash rack, ΔP is the head loss, S is the calibration area, for the flat net S pnet = L 网宽 * b, for the net pocket S wnet = τ1 * L 网宽 * b, b is the underwater depth of the net, C m is the inertia coefficient, ρ is the water density, V 排 is the drainage volume, |a| max is, and the value range of τ1 is 0.3 - 1.

[0017] Further, the length constraint equation corresponding to the flat net is expressed as: ΔD P < τ2 * L 网宽 + L dis , where, ΔD P is the deformation of the flat net, L dis is the fishing distance, and the value range of τ2 is 0.1 - 1.

[0018] Further, the length constraint equation corresponding to the net pocket is expressed as: ΔD w < τ3Q * cosθ + τ4 * L1 + L dis , where, ΔD w is the deformation of the net pocket, the value range of τ3 is 1 - 2, the value range of τ4 is 0.1 - 0.5, and L1 = L网宽 -2tanθ*h = L 网宽 -2sinθ*Q, where θ is the angle between the net of the net pocket and the flow direction, Q is the length of the tail pocket of the net pocket, and h is cosθ*Q.

[0019] Furthermore, based on the input parameters and the constraint equations, a multi-objective optimization algorithm is used to optimize the comprehensive interception rate, head loss, and system total cost, and an optimal net configuration plan is generated, including:

[0020] Determine the comprehensive interception rate, the head loss, and the system total cost under the net configuration design plan based on the input parameters;

[0021] Use the multi-objective optimization algorithm to optimize the comprehensive interception rate, the head loss, and the system total cost, and generate a net configuration design plan that maximizes the comprehensive interception rate and minimizes the head loss and the system total cost on the premise of satisfying the net tension constraint equation and the net length constraint equation.

[0022] Furthermore, the objective function for optimizing the comprehensive interception rate, the head loss, and the system total cost using the multi-objective optimization algorithm is:

[0023] min.F(x) = (-ω total , ΔP, Cost total )

[0024] s.t. ΔD p <τ2L 网宽 +L dis

[0025] ΔD w <τ3Q*cosθ + τ4*L1 + L dis

[0026] F < 0.8F max

[0027] k = (k1, k i:1 , …, k n ), 2mm ≤ k i ≤ 50mm, k i ∈Z

[0028] where ω total is the comprehensive interception rate, Cost total is the system total cost, F max is the set value of the maximum total net tension, k i is the mesh size of the i-th anti-pollution net, the value range of τ3 is 1 to 2, and the value range of τ4 is 0.1 to 0.5.

[0029] Further, the design scheme of the screening configuration includes one or more of the number of screening nets, the type of each screening net, the mesh size of the screening net, and the width of the screening net.

[0030] Further, the process of determining the head loss includes:

[0031] Randomly generate an initial population with different interception rates, where the interception rates of each screening net in each individual within the population are different;

[0032] Determine the mesh size of the screening net based on the interception rate;

[0033] Determine the head loss based on the mesh size.

[0034] Further, determining the mesh size of the screening net based on the interception rate includes:

[0035] Based on the interception rate, determine the mesh size of the screening net through Formula 1. Formula 1 is ω = μ(2 - a γ ), where γ = (bk + c)*τ5 β (1 + 0.01V0), ω is the interception rate, μ is the magnification factor, a and c are constants, is the biomass at the intake of the nuclear power plant, V0 is the flow velocity at the intake of the nuclear power plant, and the value range of τ5 is 1 to 1.1.

[0036] Further, determining the head loss based on the mesh size includes:

[0037] Determine the head loss through Formula 2 based on the mesh size. Formula 2 is where ρ = 1.15 * 1000 kg / m^3, α is the passing rate of the net itself, ε is the resistance coefficient, and the value range of τ6 is 0.1 to 1.

[0038] Further, the total system cost includes: the pile foundation cost, the screening net cost, and the labor cost.

[0039] Further, it includes: determining the pile foundation cost, the screening net cost, and the labor cost respectively based on the width of the screening net.

[0040] Further, the determination of the width of the screening net includes:

[0041] Determine the maximum total screening net tension that the screening net can withstand;

[0042] Based on the head loss, the maximum total screening net tension, and the screening net tension constraint equation, determine the hydrodynamic tension on the screening net;

[0043] Based on the dynamic water tension on the trash net, the width of the trash net is determined by Formula 3: Among them, M mass is the volume of the organism in front of the net, ρ mass is the organism density, d is the wire diameter, and k is the mesh size.

[0044] Furthermore, the labor cost is determined based on the width of the trash net, including:

[0045] Determine the biomass in front of the pollution control net;

[0046] Determine the cleaning frequency of the pollution-blocking net based on the biomass in front of the net;

[0047] Determine labor costs based on the number of cleanups.

[0048] Furthermore, the biomass in front of the pollution-blocking net includes the biomass in front of the flat net and the biomass in front of the net bag net.

[0049] The biomass in front of the plane net is determined by formula 4, which is: Among them, S p Indicates the calculated area of the plane network, the value range of τ7 is 0.1~1, and the value range of τ8 is 1~1.5;

[0050] The biomass in front of the pollution-blocking net is determined by Formula 5, which is: The value range of τ9 is 0.1~1, τ 10 The value range is 1 to 1.5.

[0051] Furthermore, the multi-objective optimization algorithm is NSGA-II.

[0052] A trash screen configuration design device for a cascade filtration system, comprising:

[0053] A determination module, used to determine the input parameters and the barrier constraint equations of the multi-objective optimization model of the cascade filtration system based on the power plant operating environment;

[0054] The design module is used to optimize the comprehensive interception rate, head loss and total system cost based on the input parameters and the constraint equations and generate an optimal interception configuration plan using a multi-objective optimization algorithm.

[0055] A computer-readable storage medium includes a stored computer program, wherein the computer program can be executed by an electronic device when it is run.

[0056] A computer program product comprises a computer program, which implements the steps of the above method when executed by a processor.

[0057] An electronic device includes a memory and a processor. A computer program is stored in the memory, and the processor is configured to execute the above method through the computer program.

[0058] Based on the above technical solution, the present invention has at least the following beneficial effects:

[0059] 1. The present invention takes into account the site environment of nuclear power plants, determines the input parameters of the multi-objective optimization model of the cascade filtration system and the netting constraint equation based on environmental factors. Based on the input parameters and the constraint equation, the multi-objective optimization algorithm is used to optimize the comprehensive interception rate, head loss and system total cost, so as to carry out the configuration design of the trash rack and generate the optimal configuration plan. The present invention can use the multi-objective optimization algorithm to quickly and accurately optimize the personalized cascade filtration system trash rack configuration plan suitable for different site conditions according to different power plant site conditions.

[0060] 2. Based on the netting tension constraint equation and the netting length constraint equation, the present invention uses the multi-objective optimization algorithm to optimize the comprehensive interception rate, head loss and system total cost. On the premise of satisfying the netting tension constraint equation and the netting length constraint equation, it is possible to generate a trash rack configuration design plan with the maximum comprehensive interception rate, the minimum head loss and the minimum system total cost. The present invention can make up for the deficiencies in the research on the intelligent configuration design of the trash rack in the nuclear power cold source system, and help designers break through the limitations of the traditional experience-dependent design of the cascade filtration system trash rack for nuclear power water intake, so as to quickly carry out the configuration design of the trash rack in the nuclear power cold source system and generate an effective, reasonable and scientific design plan.

[0061] 3. The present invention proposes to establish the relationship between the interception rate and the mesh size of the trash rack, realize the determination of the head loss and the net width of the trash rack based on the mesh size, and determine the labor cost based on the net width of the trash rack, so as to realize the quantitative judgment of the trash interception effect of different trash rack configurations under different working conditions. Description of the Drawings

[0062] The specification drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0063] Figure 1 is a flowchart of a method for configuring and designing a trash rack of a cascade filtration system according to an embodiment of the present invention;

[0064] Figure 2 is a flowchart for determining the head loss and the system total cost according to an embodiment of the present invention and optimizing the head loss and the system total cost based on the multi-objective optimization algorithm NSGA-II;

[0065] Figure 3Schematic diagram of a trash rack configuration design device for a cascade filtration system according to an embodiment of the present invention;

[0066] Figure 4 Block diagram of a computer system of an electronic device for implementing the embodiments of the present application according to an embodiment of the present invention;

[0067] Figure 5 Schematic diagram of an electronic device for trash rack configuration design of a cascade filtration system according to an embodiment of the present invention. Detailed implementation manners

[0068] It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments may be combined with each other. The present invention will be described in detail below with reference to the drawings and in conjunction with the embodiments.

[0069] The following further describes the present invention in detail with specific embodiments, and these embodiments should not be construed as limiting the scope claimed by the present invention.

[0070] Embodiment

[0071] To solve the problems in the prior art that it is impossible to quantitatively judge the trash rack blocking effects and blockage conditions of different types of trash racks under different working conditions and accurately predict and evaluate the trash rack blocking effects under complex factors when constructing the optimal configuration of a cascade filtration system, the present invention proposes a method and device for trash rack configuration design of a cascade filtration system.

[0072] According to one aspect of the embodiments of the present application, a method for trash rack configuration design of a cascade filtration system is provided.

[0073] As Figure 1 shown in the flowchart of a method for trash rack configuration design of a cascade filtration system according to an embodiment of the present invention, the above method includes:

[0074] S1, determining the input parameters of the multi-objective optimization model of the cascade filtration system and the trash rack constraint equation based on the power plant operating environment.

[0075] Further, the input parameters include: environmental parameters and cascade filtration system parameters. The environmental parameters include: one or more of terrain feature parameters, biological feature parameters, and hydro-meteorological feature parameters.

[0076] Further, the terrain feature parameters include the width of the water intake of the nuclear power plant; the biological feature parameters include the biomass and biological species at the water intake of the nuclear power plant; the hydro-meteorological feature parameters include one or more of the flow velocity, wave height, and wave period at the water intake of the nuclear power plant.

[0077] The parameters of the stepped filtration system include one or more of the following: salvage distance, number of pulling points at different positions, unit price of pile foundations, unit price of flat nets, unit price of scoop nets, length of the tail pocket of the scoop net, angle between the scoop net and the flow direction, width of the water intake, underwater depth of the net, and number of trash racks.

[0078] In this embodiment, the topographic features, hydrological features, and meteorological features of the nuclear power plant site are considered simultaneously. The environmental parameters adopted include three types: topographic feature parameters, biological feature parameters, and hydrological and meteorological feature parameters. The topographic feature parameters include the width of the water intake of the nuclear power plant; the biological feature parameters include the biomass and biological species at the water intake of the nuclear power plant; the hydrological and meteorological feature parameters include the flow velocity, wave height, and wave period at the water intake of the nuclear power plant. The parameters of the stepped filtration system include all the parameters among the salvage distance, number of pulling points at different positions, unit price of pile foundations, unit price of flat nets, unit price of scoop nets, length of the tail pocket of the scoop net, angle between the scoop net and the flow direction, width of the water intake, underwater depth of the net, and number of trash racks. Among them, the salvage distance L dis is the working distance for manual salvage of disaster-causing objects between two nets. The distance between two trash racks consists of the deformation distance of the trash rack and the manual salvage working distance L dis The number of pulling points N at different positions 侧 and N 底 refer to the number of hanging points distributed on both sides and the bottom of the trash rack. Further, the trash rack is fixed to the net pile foundation through the hanging points on both sides and the bottom. Once the force received by the hanging point is greater than the maximum tensile force it can withstand, the trash rack will fail. In the present invention, the hanging points on both sides and the bottom of the trash rack are evenly distributed. The length Q of the tail pocket of the scoop net and the angle θ between the scoop net and the flow direction are respectively the length of the guiding net of the scoop net and the angle between the guiding net and the flow direction, that is, the inclination of the scoop of the scoop net. The width L of the water intake 水面宽度 is the width of the water intake of the nuclear power plant, and the underwater depth b of the net is the depth at which the flat net and the scoop net are immersed in water.

[0079] It should be understood that the input parameters of the multi-objective optimization model of the stepped filtration system determined according to the situations of different power plants may be different. In other embodiments of the present invention, they may be combinations of other parameters.

[0080] Further, the types of trash racks include: flat nets and / or scoop nets. Specifically, designers determine the number of trash racks in the stepped filtration system according to the location and morphological characteristics of the water intake of the nuclear power plant. Generally, there are 2 or 3 trash racks. The trash rack can be a flat net or a scoop net. In this step, designers only need to input the number of trash racks without specifying the type of trash rack.

[0081] The trash rack constraint equations include a trash rack tensile force constraint equation and a trash rack length constraint equation. In this embodiment, the trash rack tensile force constraint equation is expressed as: Among them, F 静 is the hydrostatic tension force on the trash rack, and F 动 is the hydrodynamic tension force on the trash rack. ΔP is the head loss, S is the verification area. For a flat net, S pnet = L 网宽 * b. For a net pocket, S wnet = τ1 * L 网宽 * b. b is the underwater depth of the net, C m is the inertia coefficient, ρ is the water density, and V 排 is the drainage volume. H = C1, T = C2, and the value range of τ1 is 0.3 to 1. In this embodiment, the optimal value of τ1 is 0.6. It should be understood that in other embodiments of the present invention, τ1 can be a certain value within the value range of 0.3 to 1.

[0082] The length constraint equation corresponding to the flat net is expressed as: ΔD P < τ2 * L 网宽 + L dis , where ΔD P is the deformation of the flat net, L dis is the salvage distance, and the value range of τ2 is 0.1 to 1. The length constraint equation corresponding to the net pocket is expressed as: ΔD w < τ3Q * cosθ + τ4 * L1 + L dis , where ΔD w is the deformation of the net pocket, the value range of τ3 is 1 to 2, the value range of τ4 is 0.1 to 0.5, and L1 = L 网宽 - 2tanθ * h = L 网宽 - 2sinθ * Q, θ = C3, Q = C4, and h = cosθ * Q. In this embodiment, the optimal value of τ2 is 0.35, the optimal value of τ3 is 1.3, and the optimal value of τ4 is 0.35. It should be understood that in other embodiments of the present invention, τ2, τ3, and τ4 can be selected according to the above value ranges. In addition, it should be understood that the net constraint equations in other embodiments of the present invention are not limited to the two equations shown in this embodiment.

[0083] The optimization objectives of the multi - objective optimization model include head loss and system total cost. The head loss is the change in flow rate of the flow field before and after passing through the trash rack. In this embodiment, the system total cost is the cost of all trash racks, the cost of pile foundations, and the labor cost, where the labor cost is the cost of salvaging disaster - causing objects.

[0084] S2, based on the input parameters and the constraint equations, use a multi - objective optimization algorithm to optimize the comprehensive interception rate, head loss, and system total cost and generate an optimal net configuration plan.

[0085] The comprehensive interception rate refers to the comprehensive interception rate of all the barriers under the barrier configuration scheme. Further, based on the input parameters and the constraint equations, a multi-objective optimization algorithm is used to optimize the comprehensive interception rate, head loss, and system total cost, and an optimal barrier configuration scheme is generated, including:

[0086] S201. Determine the head loss and system total cost under the trash rack configuration design scheme.

[0087] Further, the process of determining the head loss includes:

[0088] S2011. Randomly generate an initial population with different interception rates, where the interception rates of each trash rack in each individual in the population are different.

[0089] S2012. Determine the mesh size of the trash rack based on the interception rate.

[0090] Further, determining the mesh size of the trash rack based on the interception rate includes: Based on the interception rate, determine the mesh size of the trash rack through Formula 1, and Formula 1 is ω = μ(2 - a γ ), where γ = (bk + c)*τ5 β (1 + 0.01V0), ω is the interception rate, is the biomass of the nuclear power plant water intake, V0 is the flow velocity of the nuclear power plant water intake, the value range of τ5 is 1 - 1.1, and a and c are empirical constants. In this embodiment, the mesh size is determined through the above Formula 1, and the optimal value of τ5 is 1.01. It can be understood that in other embodiments of the present invention, τ5 can be taken according to the above value range. It should be understood that in other embodiments of the present invention, the method for determining the mesh size is not limited to the above Formula 1.

[0091] In this embodiment, the above method is used to determine the head loss. Specifically, the initial population under different interception rates is set by the designer. In the case of Enteromorpha prolifera, μ = 1, a = 1.9468, b = 0.0046, c = 0.0012; in the case of Acetes chinensis, μ = 1, a = 2.6809, b = 0.062, c = 0.123; in the case of jellyfish, μ = 0.8, a = 24, b = 0.0033, c = 0.024.

[0092] S2013. Determine the head loss based on the mesh size.

[0093] Further, determining the head loss based on the mesh size includes: Determine the head loss through Formula 2 based on the mesh size, and Formula 2 is where ρ = 1.15*1000 kg / m^3, α is the passing rate of the net itself, ε is the resistance coefficient, and the value range of τ6 is 0.1 - 1. In this embodiment, the head loss is determined by the above formula two, where the resistance coefficient ε = 5, and the optimal value of τ6 is 0.5. It should be understood that in other embodiments of the present invention, the method for determining the head loss is not limited to formula two.

[0094] S202. Use the multi-objective optimization algorithm to optimize the comprehensive interception rate, the head loss, and the total system cost, and generate a net configuration design plan that maximizes the comprehensive interception rate and minimizes the head loss and the total system cost on the premise of satisfying the net tension constraint equation and the net length constraint equation.

[0095] In the specific optimization process, while ensuring the maximization of the interception rate, minimize the head loss and the total system cost to generate the corresponding net configuration design plan. Further, the objective function for optimizing the comprehensive interception rate, the head loss, and the total system cost using the multi-objective optimization algorithm is:

[0096] min.F(x) = (-ω total , ΔP, Cost total )

[0097] s.t. ΔD p < τ2L 网宽 +L dis

[0098] ΔD w < τ3Q*cosθ + τ4*L1 + L dis

[0099] F < 0.8F max

[0100] k = (k1, k i:1 , …, k n ), 2mm ≤ k i ≤ 50mm, k i ∈Z

[0101] Where, ω total is the comprehensive interception rate, Cost total is the total system cost, F max is the set value of the maximum total net tension, and k i is the mesh size of the i-th anti-pollution net. In this embodiment, the optimal value of τ2 is 0.35, the optimal value of τ3 is 1.3, and the optimal value of τ4 is 0.35. It should be understood that the form of the objective function is not limited to the specific formula mentioned in this embodiment above. In other embodiments of the present invention, the corresponding objective function can be set according to the actual situation.

[0102] The described trash rack configuration design includes one or more of the number of trash racks, the type of each trash rack, the mesh size of the trash rack, and the mesh width of the trash rack.

[0103] In this embodiment, the pile foundation cost, the trash rack cost, and the labor cost are determined based on the mesh width of the trash rack.

[0104] Further, the mesh width of the trash rack is determined through the following steps, including:

[0105] S2021, determining the maximum total trash rack tension that the trash rack can withstand.

[0106] Specifically, in this embodiment, according to the number N of tension points at different positions input by the user 侧 and N 底 , the forces on each hanging point are solved through moment balance to ensure that the forces on all hanging points do not exceed 80% of the set value F max , and then the maximum total trash rack tension F that the entire net can withstand is solved.

[0107] S2022, based on the head loss, the maximum total trash rack tension, and the trash rack tension constraint equation, determining the hydrodynamic tension on the trash rack.

[0108] S2023, based on the hydrodynamic tension on the trash rack, determining the mesh width of the trash rack through Formula Three.

[0109] Formula Three is where M mass is the volume of organisms in front of the net, ρ mass = 1.15 g / cm 3 , d is the wire diameter, and k is the mesh size.

[0110] In this embodiment, the mesh width of the trash rack is determined through the above steps S2021 to S2023. It should be understood that in other embodiments of the present invention, other methods may be used to determine the mesh width of the trash rack.

[0111] Specifically, the mesh width of the trash rack obtained by the above solution satisfies: L 水面宽度 is an integer multiple of L 网宽 , and L 网宽 is rounded down.

[0112] The labor cost C people = the number of cleaning times Z * the unit price P for each cleaning rice, the cleaning frequency is determined by the biomass in front of the net, and the biomass in front of the net is related to the net width of the trash rack. Further, the labor cost is determined based on the net width of the trash rack, including: determining the biomass in front of the net of the trash rack; determining the cleaning frequency of the trash rack based on the biomass in front of the net; determining the labor cost based on the cleaning frequency. Further, the biomass in front of the net of the trash rack includes the biomass in front of the flat net and the biomass in front of the net pocket. The biomass in front of the flat net is determined by Formula 4, and Formula 4 is where S p represents the calculated area of the flat net, the value range of τ7 is 0.1 - 1, and the value range of τ8 is 1 - 1.5. The biomass in front of the net of the trash rack is determined by Formula 5, and Formula 5 is the value range of τ9 is 0.1 - 1, τ 10 the value range of is 1 - 1.5.

[0113] In this embodiment, the biomass in front of the flat net and the biomass in front of the net pocket are determined by Formula 4 and Formula 5 respectively. In this embodiment, the optimal value of τ7 is 0.35, the optimal value of τ8 is 1.15, the optimal value of τ9 is 0.4, τ 10 the optimal value of is 1.15. It should be understood that in different embodiments, the selection of the above coefficients may be different. In the above Formula 4 Flat net deformation function: The above Formula 4 is the result of integrating the deformation function y.

[0114] Based on the biomass in front of the flat net and the biomass in front of the net pocket determined by the above Formula 4 and Formula 5, combined with the biomass at the water intake of the nuclear power plant Through formula And formula Z p_net = 24 / t pmass 、Z w_net = 24 / t w_mass The cleaning frequency Z of the flat net can be determined p_net and the cleaning frequency Z of the net pocket w_net . The labor cost can be calculated based on the cleaning frequency of the trash rack.

[0115] In addition, the pile foundation cost C 桩 adopted in this embodiment, the cost C 网 of the trash rack, and the determination methods of the total system cost Cost are as follows:

[0116] Total system cost Cost = pile foundation cost C 桩 + cost C of the trash rack 网 + labor cost C people ;

[0117] Pile foundation cost C 桩 = Pile foundation unit price C fund *(1+L 水面宽度 / L 网宽 );

[0118] Cost of Trash Nets 网 = Plane network cost C pnet + Net bag cost C wnet ;

[0119] Flat network cost C pnet = Flat network unit price C p_net *L 水面宽度 / L 网宽 ;

[0120] Net bag net cost C wnet = Net bag unit price C w_net *L 水面宽度 / L 网宽 .

[0121] It should be understood that in other embodiments of the present invention, the composition of the total system cost Cost may not be limited to the above-mentioned pile foundation cost C 桩 , the cost of the pollution-blocking net C 网 and labor cost C people , and the corresponding determination method is not limited to the above method.

[0122] Furthermore, the multi-objective optimization algorithm used in this embodiment is NSGA-II. Figure 2 The flowchart of determining the head loss and the total system cost and optimizing the head loss and the total system cost based on the multi-objective optimization algorithm NSGA-II in this embodiment is shown in FIG. This method can generate a design scheme for the block configuration that maximizes the comprehensive interception rate and minimizes the head loss and the total system cost under the premise of satisfying the block tension constraint equation and the block length constraint equation. It should be understood that the multi-objective optimization algorithm used in other embodiments of the present invention is not limited to the NSGA-II algorithm of this embodiment.

[0123] For example, when the designer sets the number of pollution-blocking nets to 2 nets, the interception rate of the second net is 100%, and the multi-objective algorithm is used to determine the optimal interception rate of the first net, so that the total cost and head loss of the pollution-blocking net are minimized while meeting the above constraints, and finally the net width, pollution-blocking net type and mesh size of the two nets are output; when the designer sets the number of pollution-blocking nets to 3 nets, the interception rate of the third net is 100%, and the multi-objective optimization algorithm is used to determine the optimal interception rate of the first and second nets, so that the total cost and head loss of the pollution-blocking net are minimized while meeting the above constraints, and the net width, pollution-blocking net type and mesh size of each net are output.

[0124] The present invention is further described in detail below in conjunction with a specific embodiment: Step 1: The designer determines that the number of the trash screens of the cascade filtration system is 2 according to the location and shape characteristics of the water intake of the nuclear power plant, that is, the number of the trash screens N net =2; the width of the water intake of the nuclear power plant L 水面宽度 200m; biomass at the water intake of nuclear power plant The flow velocity at the water intake of the nuclear power plant is V0 = 0.5m / s, the wave height is H = 0.5m, and the wave period is T = 6s. In addition, the salvage distance L dis =10m, number of pulling points at different positions N 侧 =20 and N 底 =5, Pile foundation unit price C fund =10000, Flat network unit price C p_net =200, net bag net unit price C wnet =300, the length of the tail of the net bag Q = 8m, the angle between the net bag and the flow direction θ = 30°, and the underwater depth of the net b = 10m. The constraint equations are the above-mentioned net tension constraint equation and the net length constraint equation.

[0125] Step 2: Based on the input parameters and constraint equations, use the multi-objective optimization algorithm to design the configuration of the trash screen and generate the optimal configuration scheme, setting the disaster-causing object to be shrimp. Specifically, based on the input parameters and combined with the above steps S201 and S202, determine the head loss and total system cost under the trash screen configuration design scheme. Figure 2 The processes shown are similar and will not be described in detail.

[0126] The optimal design scheme output results of this specific embodiment are: interception rate: 1st net: 62%, 2nd net: 100%; mesh size: 1st net: 4mm, 2nd net: 2mm; net type: 1st net: net bag net, 2nd net: flat net; net width: 1st net: 10m, 2nd net: 4m; number of pile foundations: 1st net: 21, 2nd net: 51.

[0127] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

[0128] According to another aspect of the embodiments of the present application, the present invention also provides a trash screen configuration design device for a stepped filtration system.

[0129] like Figure 3The schematic diagram of a device for designing the trash rack configuration of a cascade filtration system is shown, and the device includes: a determination module 301 and a design module 302.

[0130] The determination module 301 is used to determine the input parameters of the multi-objective optimization model of the cascade filtration system and the trash rack constraint equation based on the power plant operation environment.

[0131] The design module 302 is used to optimize the comprehensive interception rate, head loss, and system total cost by using a multi-objective optimization algorithm based on the input parameters and the constraint equation, and generate an optimal trash rack configuration scheme.

[0132] As an alternative solution, the above device is also used for: the input parameters include: environmental parameters and the parameters of the cascade filtration system.

[0133] As an alternative solution, the above device is also used for: the environmental parameters include: one or more of terrain feature parameters, biological feature parameters, and hydro-meteorological feature parameters.

[0134] As an alternative solution, the above device is also used for: the terrain feature parameters include the width of the water intake of the nuclear power plant. The biological feature parameters include the biomass and biological species at the water intake of the nuclear power plant. The hydro-meteorological feature parameters include one or more of the flow velocity, wave height, and wave period at the water intake of the nuclear power plant.

[0135] As an alternative solution, the above device is also used for: the parameters of the cascade filtration system include: the fishing distance, the number of pulling points at different positions, the unit price of pile foundations, the unit price of flat nets, the unit price of net pockets, the length of the tail pocket of the net pocket, the angle between the net pocket and the flow direction, the width of the water intake, the underwater depth of the net, and the number of trash racks.

[0136] As an alternative solution, the above device is also used for: the types of trash racks include: flat nets and / or net pockets.

[0137] As an alternative solution, the above device is also used for: the trash rack constraint equation includes a trash rack tension constraint equation and a trash rack length constraint equation.

[0138] As an alternative solution, the above device is also used for: the trash rack tension constraint equation is expressed as: Where F 静 is the hydrostatic tension on the trash rack, F 动 is the hydrodynamic tension on the trash rack, ΔP is the head loss, S is the calibration area, for the flat net S pnet = L 网宽 * b, for the net pocket S wnet = τ1 * L 网宽 * b, b is the underwater depth of the net, C m is the inertia coefficient, ρ is the water density, V 排is the drainage volume, |a| max is the maximum acceleration, and the value range of τ1 is 0.3 to 1.

[0139] As an alternative solution, the above device is also used for: The length constraint equation corresponding to the plane net is expressed as: ΔD P <τ2*L 网宽 +L dis , where ΔD P is the plane net deformation, L dis is the salvage distance, and the value range of τ2 is 0.1 to 1.

[0140] As an alternative solution, the above device is also used for: The length constraint equation corresponding to the scoop net is expressed as: ΔD w <τ3Q*cosθ+τ4*L1+L dis , where ΔD w is the scoop net deformation, the value range of τ3 is 1 to 2, the value range of τ4 is 0.1 to 0.5, L1 = L 网宽 -2tanθ*h = L 网宽 -2sinθ*Q, θ is the included angle between the scoop net and the flow direction, Q is the length of the tail pocket of the scoop net, and h is cosθ*Q.

[0141] As an alternative solution, the above device is also used for:

[0142] Determine the comprehensive interception rate, the head loss, and the total system cost under the trash rack configuration design scheme based on the input parameters.

[0143] Use the multi-objective optimization algorithm to optimize the comprehensive interception rate, the head loss, and the total system cost, and generate a trash rack configuration design scheme with the maximum comprehensive interception rate, the minimum head loss, and the minimum total system cost on the premise of satisfying the trash rack tension constraint equation and the trash rack length constraint equation.

[0144] Furthermore, the objective function for optimizing the comprehensive interception rate, the head loss, and the total system cost using the multi-objective optimization algorithm is:

[0145] min.F(x) = (-ω total ,ΔP,Cos t total )

[0146] s.t.ΔD p <τ2L 网宽 +L dis

[0147] ΔD w <τ3Q*cosθ+τ4*L1+L dis

[0148] F < 0.8F max

[0149] k = (k1, k i:1 , …, k n ), 2mm ≤ k i ≤ 50mm, k i ∈ Z

[0150] Among them, ω total is the comprehensive interception rate, Cost total is the total system cost, F max is the set value of the maximum total tension of the retaining net, k i is the mesh size of the i-th trash rack net, the value range of τ3 is 1 - 2, and the value range of τ4 is 0.1 - 0.5.

[0151] As an alternative solution, the above device is also used for: The trash rack configuration design solution includes one or more of the number of trash rack nets, the type of each trash rack net, the mesh size of the trash rack net, and the net width of the trash rack net.

[0152] As an alternative solution, the above device is also used for: The process of determining the head loss includes:

[0153] Randomly generate an initial population with different interception rates, and the interception rates of each trash rack net in each individual in the population are different;

[0154] Determine the mesh size of the trash rack net based on the interception rate.

[0155] Determine the head loss based on the mesh size.

[0156] As an alternative solution, the above device is also used for: Determining the mesh size of the trash rack net based on the interception rate, including:

[0157] Based on the interception rate, determine the mesh size of the trash rack net through Formula 1. Formula 1 is ω = μ(2 - a γ ), where γ = (bk + c) * τ5 β (1 + 0.01V0), ω is the interception rate, μ is the amplification factor, a and c are constants, is the biomass of the nuclear power plant water intake, V0 is the flow velocity of the nuclear power plant water intake, and the value range of τ5 is 1 - 1.1.

[0158] As an alternative solution, the above device is also used for: Determining the head loss based on the mesh size, including:

[0159] Determine the head loss through Formula 2 based on the mesh size. Formula 2 is Among them, ρ = 1.15 * 1000 kg / m^3, α is the pass rate of the net itself, ε is the resistance coefficient, and the value range of τ6 is 0.1~1.

[0160] As an optional solution, the above device is also used for: the total system cost includes: including: pile foundation cost, barrier cost and labor cost.

[0161] As an optional solution, the above device is also used to: include: determining the pile foundation cost, the net cost and the labor cost respectively based on the width of the trash net.

[0162] As an optional solution, the above device is also used to: determine the width of the trash net, including:

[0163] Determine the maximum total net tension that the net can withstand.

[0164] Based on the head loss, the maximum total tension of the net and the tension constraint equation of the net, the dynamic water tension on the net is determined.

[0165] Based on the dynamic water tension on the trash net, the width of the trash net is determined by formula 3: Among them, M mass is the volume of the organism in front of the net, ρ mass is the organism density, d is the wire diameter, and k is the mesh size.

[0166] As an optional solution, the above device is also used to: determine the labor cost based on the width of the trash net, including:

[0167] Determine the biomass in front of the pollution control net.

[0168] The cleaning frequency of the pollution-control net is determined based on the biomass in front of the net.

[0169] Determine labor costs based on the number of cleanups.

[0170] As an optional solution, the above device is also used for: the biomass in front of the trash net includes the biomass in front of the flat net and the biomass in front of the net bag net,

[0171] The biomass in front of the plane net is determined by formula 4, which is: Among them, S p Indicates the calculated area of the plane network. The value range of τ7 is 0.1~1, and the value range of τ8 is 1~1.5.

[0172] The biomass in front of the pollution-blocking net is determined by Formula 5, which is: The value range of τ9 is 0.1~1, τ 10 The value range is 1 to 1.5.

[0173] In the embodiments of the present application, the term "module" or "unit" refers to a computer program with a predetermined function or a part of a computer program, which works together with other related parts to achieve a predetermined goal, and can be fully or partially implemented by using software, hardware (such as a processing circuit or a memory), or a combination thereof. Similarly, one processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be a part of the overall module or unit that includes the function of the module or unit.

[0174] Regarding the device in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be elaborated here.

[0175] According to one aspect of the present application, a computer program product is provided, and the computer program product includes a computer program.

[0176] The serial numbers of the embodiments of the present application above are only for description and do not represent the superiority or inferiority of the embodiments.

[0177] Figure 4 Schematically shown is a block diagram of a computer system of an electronic device for implementing the embodiments of the present application.

[0178] It should be noted that Figure 4 The computer system 1100 of the shown electronic device is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present application.

[0179] As Figure 4 shown, the computer system 1100 includes a central processing unit 1101 (Central Processing Unit, CPU), which can perform various appropriate actions and processes according to the program stored in the read-only memory 1102 (Read-Only Memory, ROM) or the program loaded from the storage section 1108 into the random access memory 1103 (Random Access Memory, RAM). In the random access memory 1103, various programs and data required for system operation are also stored. The central processing unit 1101, the read-only memory 1102, and the random access memory 1103 are connected to each other through a bus 1104. The input / generation interface 1105 (Input / Output interface, i.e., I / O interface) is also connected to the bus 1104.

[0180] The following components are connected to the input / generation interface 1105: an input section 1106 including a keyboard, a mouse, etc.; a generation section 1107 including, for example, a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1108 including a hard disk, etc.; and a communication section 1109 including a network interface card such as a local area network card, a modem, etc. The communication section 1109 performs communication processing via a network such as the Internet. The drive 1110 is also connected to the input / generation interface 1105 as needed. A removable medium 1111, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1110 as needed so that a computer program read from it can be installed into the storage section 1108 as needed.

[0181] Specifically, according to an embodiment of the present application, the processes described in each method flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 1109, and / or installed from the removable medium 1111. When the computer program is executed by the central processing unit 1101, various functions defined in the system of the present application are executed.

[0182] In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 1109, and / or installed from the removable medium 1111. When the computer program is executed by the central processing unit 1101, various functions provided by the embodiments of the present application are executed.

[0183] According to another aspect of the embodiments of the present application, an electronic device for the configuration design of a trash rack for a cascade filtering system is further provided. In this embodiment, the electronic device is taken as an example of a terminal device for illustration. As Figure 5 shown, the electronic device includes a memory 1202 and a processor 1204. A computer program is stored in the memory 1202, and the processor 1204 is configured to execute the steps in any one of the above method embodiments through the computer program.

[0184] Optionally, in this embodiment, the above electronic device can be located in at least one network device among multiple network devices of a computer network.

[0185] Optionally, in this embodiment, the above processor can be configured to execute the methods in the embodiments of the present application through the computer program.

[0186] Optionally, those of ordinary skill in the art can understand that Figure 5 The structure shown is only schematic, Figure 5 and it does not limit the structure of the above-mentioned electronic device. For example, the electronic device may further include more or fewer components (such as a network interface, etc.) than those shown in Figure 5 , or have a different configuration from that shown in Figure 5 .

[0187] Among them, the memory 1202 can be used to store software programs and modules, such as the program instructions / modules corresponding to the trash rack configuration design method and device of the cascade filtration system in the embodiments of the present application. The processor 1204 executes various functional applications and data processing by running the software programs and modules stored in the memory 1202, that is, implements the trash rack configuration design method of the above-mentioned cascade filtration system. The memory 1202 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory 1202 may further include a memory remotely provided relative to the processor 1204, and these remote memories can be connected to the terminal through a network. Examples of the above-mentioned network include but are not limited to the Internet, enterprise intranets, local area networks, mobile communication networks, and their combinations. Among them, the memory 1202 can specifically but not limitedly be used to store input parameter information. As an example, as Figure 5 shown, the above-mentioned memory 1202 may include but are not limited to the determination module 301 and the design module 302 in the above-mentioned trash rack configuration design device of a cascade filtration system. In addition, it may also include but are not limited to other module units in the above-mentioned device, which will not be elaborated in this example.

[0188] Optionally, the above-mentioned transmission device 1206 is used to receive or send data via a network. Specific examples of the above-mentioned network may include wired networks and wireless networks. In one instance, the transmission device 1206 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices and routers through a network cable so as to communicate with the Internet or a local area network. In one instance, the transmission device 1206 is a radio frequency (Radio Frequency, RF) module, which is used to communicate with the Internet wirelessly.

[0189] In addition, the above-mentioned electronic device further includes: a display 1208, which is used to display the above-mentioned optimal design scheme data; and a connection bus 1210, which is used to connect each module component in the above-mentioned electronic device.

[0190] In other embodiments, the above terminal device or server may be a node in a distributed system. Among them, the distributed system may be a blockchain system, and the blockchain system may be a distributed system formed by connecting the multiple nodes in the form of network communication. Among them, the nodes may form a peer-to-peer network, and any form of computing device, such as electronic devices like servers and terminals, can become a node in the blockchain system by joining the peer-to-peer network.

[0191] According to one aspect of the present application, there is provided a computer-readable storage medium. The processor of the electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device executes the method for configuring the trash rack of the cascade filtering system provided in various optional implementation manners of the above aspect.

[0192] Optionally, in this embodiment, the above computer-readable storage medium may be set to store the methods for executing the embodiments of the present application.

[0193] Optionally, in this embodiment, those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the relevant hardware of the terminal device through a program. The program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disc, etc.

[0194] The serial numbers of the above embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0195] If the integrated unit in the above embodiments is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in the above computer-readable storage medium. Based on such an understanding, the technical solution of the present 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. The computer software product is stored in the storage medium and includes several instructions for causing one or more electronic devices to execute all or part of the steps of the methods described in the various embodiments of the present application.

[0196] In the above embodiments of the present application, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

[0197] In several embodiments provided in the present application, it should be understood that the disclosed application program can be implemented in other ways. Among them, the device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of units or modules can be in an electrical or other form.

[0198] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0199] In addition, each functional unit in various embodiments of the present application can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

[0200] The above is only the preferred embodiment of the present invention and is not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0201] In summary, from the above description, it can be seen that the above embodiments of the present invention achieve the following technical effects:

[0202] 1. The present invention considers the nuclear power plant site environment, determines the input parameters of the multi-objective optimization model of the cascade filtration system and the barrier constraint equation based on environmental factors. Based on the input parameters and the constraint equation, the multi-objective optimization algorithm is used to optimize the comprehensive interception rate, head loss and system total cost, so as to carry out the configuration design of the trash rack and generate the optimal configuration plan. The present invention can use the multi-objective optimization algorithm to quickly and accurately optimize the personalized cascade filtration system trash rack configuration plan suitable for different site conditions according to different power plant site conditions.

[0203] 2. Based on the netting tension constraint equation and the netting length constraint equation, the present invention uses the multi-objective optimization algorithm to optimize the comprehensive interception rate, head loss, and system total cost. On the premise of satisfying the netting tension constraint equation and the netting length constraint equation, it can generate a netting configuration design scheme with the maximized comprehensive interception rate, minimized head loss, and minimized system total cost. The present invention can make up for the deficiencies in the research on the intelligent configuration design of the nuclear power cold source system's trash rack, helping designers break through the limitations of the traditional experience-dependent design of the trash rack for the nuclear power water intake cascade filtration system, so as to quickly configure and design the trash rack of the nuclear power cold source system and generate an effective, reasonable, and scientific design scheme.

[0204] 3. The present invention proposes to establish the relationship between the interception rate and the mesh size of the trash rack, realize the determination of the head loss and the mesh width of the trash rack based on the mesh size, and determine the labor cost based on the mesh width of the trash rack, so as to realize the quantitative judgment of the trash interception effect of different trash rack configurations under different working conditions.

[0205] It should be noted that in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0206] It should be noted that in the description of this specification, the descriptions with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

Claims

1. A method for designing the trash rack configuration of a stepped filtration system, characterized in that, include: Determining the input parameters and the screen constraint equations of the multi-objective optimization model of the cascade filtration system based on the power plant operating environment; Based on the input parameters and the constraint equations, a multi-objective optimization algorithm is used to optimize the comprehensive interception rate, head loss and total system cost and generate an optimal interception configuration plan.

2. The method according to claim 1, characterized in that, The input parameters include: environmental parameters and parameters of the cascade filtration system.

3. The method according to claim 2, wherein The environmental parameters include: one or more of terrain characteristic parameters, biological characteristic parameters and hydrological and meteorological characteristic parameters.

4. The method according to claim 3, wherein The terrain characteristic parameters include the width of the water intake of the nuclear power plant; the biological characteristic parameters include the biomass and biological species at the water intake of the nuclear power plant; the hydrological and meteorological characteristic parameters include one or more of the flow velocity, wave height and wave period at the water intake of the nuclear power plant.

5. The method according to claim 2, wherein The parameters of the cascade filtration system include: one or more of the following: salvage distance, number of tension points at different positions, unit price of pile foundation, unit price of plane net, unit price of net bag net, length of the tail bag of the net bag net, angle between the net bag net and flow direction, width of water intake, underwater depth of the net and number of sewage nets.

6. The method according to claim 5, wherein The types of the trash net include: a flat net and / or a net bag net.

7. The method according to any one of claims 1 to 6, characterized in that, The barrier constraint equation includes a barrier tension constraint equation and a barrier length constraint equation.

8. The method according to claim 7, wherein The anti-blocking net tensile force constraint equation is expressed as: where F 静 is the hydrostatic tensile force on the trash rack net, F 动 is the hydrodynamic tensile force on the trash rack net, ΔP is the head loss, S is the verification area, for the flat net S pnet = L 网宽 * b, for the mesh bag net S wnet = τ1 * L 网宽 * b, b is the underwater depth of the net, C m is the inertia coefficient, ρ is the water density, V 排 is the drainage volume, |a| max is the maximum acceleration, and the value range of τ1 is 0.3 to 1.

9. The method according to claim 7, wherein The length constraint equation corresponding to the planar network is expressed as: ΔD P <τ2*L 网宽 +L dis , where ΔD P is the deformation amount of the planar network, L dis is the fishing distance, and the value range of τ2 is 0.1 to 1.

10. The method according to claim 7, characterized in that The length constraint equation corresponding to the net bag net is expressed as: ΔD w <τ3Q*cosθ+τ4*L1+L dis , where ΔD w is the deformation of the net bag, the value range of τ3 is 1~2, the value range of τ4 is 0.1~0.5, L1=L 网宽 -2tanθ*h=L 网宽 -2sinθ*Q, θ is the angle between the net bag and the flow direction, Q is the length of the tail bag of the net bag, and h is cosθ*Q.

11. The method according to claim 1, wherein Based on the input parameters and the constraint equations, a multi-objective optimization algorithm is used to optimize the comprehensive interception rate, head loss and total system cost and generate an optimal interception configuration scheme, including: Determine the comprehensive interception rate, the head loss and the total cost of the system under the trash screen configuration design scheme based on the input parameters; The multi-objective optimization algorithm is used to optimize the comprehensive interception rate, the head loss and the total system cost. Under the premise of satisfying the blocking tension constraint equation and the blocking length constraint equation, a blocking configuration design scheme is generated that maximizes the comprehensive interception rate and minimizes the head loss and the total system cost.

12. The method according to claim 11, wherein The objective function for optimizing the comprehensive interception rate, the head loss and the total system cost using the multi-objective optimization algorithm is: min.F(x) = (-ω total , ΔP, Cost total ) s.t.ΔD p <τ2L 网宽 +L dis ΔD w <τ3Q*cosθ+τ4*L1+L dis F < 0.8F max k = (k1, k i:1 , …, k n ), 2mm ≤ k i ≤ 50mm, k i ∈ Z Among them, ω total is the comprehensive interception rate, Cost total is the total system cost, F max is the maximum total tension setting value of the blocking net, k i is the mesh size of the i-th trash screen, the value range of τ3 is 1-2, and the value range of τ4 is 0.1-0.

5.

13. The method according to claim 12, wherein The design scheme for the configuration of the trash-blocking nets includes one or more of the number of rows of the trash-blocking nets, the type of each row of the trash-blocking nets, the mesh size of the trash-blocking nets, and the width of the trash-blocking nets.

14. The method according to claim 12, wherein The process of determining the head loss includes: Randomly generating initial populations with different interception rates, wherein the interception rates of each pollution-blocking net in each individual in the population are different; Determining the mesh size of the trash screen based on the interception rate; The head loss is determined based on the mesh size.

15. The method according to claim 14, characterized in that, Determining the mesh size of the trash screen based on the interception rate includes: Based on the interception rate, the mesh size of the trash rack is determined by Formula 1, and Formula 1 is ω = μ(2 - a γ ), where γ = (bk + c)*τ5 β (1 + 0.01V0), ω is the interception rate, μ is the magnification factor, a and c are constants, is the biomass of the nuclear power plant's water intake, V0 is the flow velocity of the nuclear power plant's water intake, and the value range of τ5 is 1 to 1.

1.

16. The method according to claim 14, wherein The head loss is determined based on the mesh size, including: Determine the head loss based on the mesh size through Equation 2, where Equation 2 is where ρ = 1.15 * 1000 kg / m^3, α is the passing rate of the mesh itself, ε is the resistance coefficient, and the value range of τ6 is 0.1 - 1.

17. The method according to any one of claims 11 to 16, characterized in that, The total cost of the system includes: pile foundation cost, net cost and labor cost.

18. The method according to claim 17, characterized in that, The pile foundation cost, the net cost and the labor cost are determined respectively based on the width of the trash net.

19. The method according to claim 18, wherein The determination of the width of the trash net includes: Determine the maximum total pulling force that the trash net can withstand; Determine the dynamic water tension on the trash net based on the head loss, the maximum total tension of the trash net and the tension constraint equation of the trash net; Based on the hydrodynamic tensile force received by the trash rack, the net width of the trash rack is determined by Formula 3, and Formula 3 is where M mass is the volume of organisms in front of the net, ρ mass is the density of organisms, d is the wire diameter, and k is the mesh size.

20. The method according to claim 18 or 19, characterized in that, The labor cost is determined based on the width of the trash net, including: Determining the biomass in front of the pollution control net; Determining the cleaning frequency of the pollution-blocking net based on the biomass in front of the net; The labor cost is determined based on the number of cleaning times.

21. The method according to claim 20, wherein The biomass in front of the pollution-blocking net includes the biomass in front of the flat net and the biomass in front of the net bag net. The biomass in front of the flat net is determined by Equation 4, and Equation 4 is where S p represents the calculated area of the flat net, the value range of τ7 is 0.1 to 1, and the value range of τ8 is 1 to 1.5; The biomass in front of the trash rack is determined by Equation 5, and the Equation 5 is The value range of τ9 is 0.1 to 1, and τ 10 The value range of is 1 to 1.

5.

22. The method according to claim 1, wherein The multi-objective optimization algorithm is NSGA-II.

23. A device for designing the trash rack configuration of a step filtration system, characterized in that, include: A determination module, used to determine the input parameters and the screen constraint equation of the multi-objective optimization model of the cascade filtration system based on the power plant operating environment; The design module is used to optimize the comprehensive interception rate, head loss and total system cost based on the input parameters and the constraint equations and generate an optimal interception configuration plan using a multi-objective optimization algorithm.

24. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein the computer program can be executed by an electronic device to perform the method described in any one of claims 1 to 22.

25. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, the steps of the method described in any one of claims 1 to 22 are implemented.

26. An electronic device, comprising a memory and a processor, characterized in that, A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 22 through the computer program.

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