Regulation and control optimization method for disinfection efficiency of clean water tank

Abstract

The invention discloses a regulation and control optimization method for disinfection efficiency of a clean water tank. The method comprises the following steps: constructing a fluid turbulence model of a clean water tank; obtaining structural parameters of the clean water tank, and constructing a fluid domain grid geometric model of the clean water tank according to the structural parameters of the clean water tank; according to the fluid turbulence model of the clean water tank and the fluid domain grid geometric model of the clean water tank, obtaining a water flow velocity distribution cloud picture and a trace distribution cloud picture of the clean water tank; determining the hydraulic performance of the clean water tank, constructing a chlorine attenuation model, determining the disinfection efficiency of the clean water tank according to the hydraulic performance of the clean water tank and the chlorine attenuation model, and optimizing the disinfection efficiency of the clean water tank by using the clean water tank water flow velocity distribution cloud atlas and the trace distribution cloud atlas. By constructing the turbulence model, the fluid domain grid geometric model and the chlorine attenuation model of the clean water tank and combining the hydraulic performance and the regulation and control method of the clean water tank, regulation and control optimization of the disinfection efficiency of the clean water tank can be realized.

Description

Technical Field

[0001] The invention relates to the technical field of water treatment, and in particular to a method for regulating and optimizing the disinfection efficiency of a clear water tank. Background Art

[0002] The clear water tank is an important water treatment structure used by water treatment plants to store filtered clear water. Its main function is to regulate the uniform water supply of the water treatment plant and the uneven water consumption of users. More importantly, it provides a contact place between the disinfectant and the filtered water to inactivate pathogenic microorganisms in the water and achieve disinfection. However, the clear water tank is usually treated as a "black box", and the flow field conditions and disinfection process in the tank are ignored. In addition, due to the different inlet and outlet forms of the clear water tank and the existence and arrangement of the guide plate, the water flow conditions in the tank are more complicated and the turbulent reflux is more serious, which affects the mixing and diffusion process of the disinfectant in the clear water tank and affects the disinfection efficiency of the clear water tank.

[0003] Therefore, it is difficult for technicians in this field to accurately analyze the flow field conditions and disinfectant attenuation in the clean water tank and optimize the disinfection efficiency of the clean water tank. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method for regulating and optimizing the disinfection efficiency of a clear water tank. By constructing a turbulence model, a fluid domain grid geometry model and a chlorine attenuation model of the clear water tank, and combining the hydraulic performance and regulation method of the clear water tank, the disinfection efficiency of the clear water tank can be regulated and optimized.

[0005] A method for optimizing the disinfection efficiency of a clean water pool comprises the following steps:

[0006] S1. Construct the fluid turbulence model of the clear water tank;

[0007] S2. Obtain structural parameters of the clear water tank, and construct a fluid domain mesh geometric model of the clear water tank according to the structural parameters of the clear water tank;

[0008] S3, obtaining a water velocity distribution cloud map and a trace distribution cloud map of the clear water tank according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometry model of the clear water tank in step S2;

[0009] S4. Determine the hydraulic performance of the clear water tank according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometry model of the clear water tank in step S2, construct a chlorine attenuation model, determine the disinfection efficiency of the clear water tank according to the hydraulic performance of the clear water tank and the chlorine attenuation model, and optimize the disinfection efficiency of the clear water tank using the water flow velocity distribution cloud map and trace distribution cloud map of the clear water tank in step S3.

[0010] Furthermore, step S1 includes the following sub-steps:

[0011] S11. Construct the continuity equation of the clear water tank, expressed as:

[0012]

[0013] in: is the time-averaged velocity of the fluid in the clear water pool in the j direction of the particle, x j is the j direction of the particle;

[0014] S12. Construct the momentum equation of the clean water tank, expressed as:

[0015]

[0016] in: is the time-averaged velocity of the fluid in the clear water pool in the i direction of the particle, x i is the i direction of the particle, t is the time, ρ is the density of the fluid in the clear water pool, is the average pressure of the fluid in the clear water tank, μ is the kinematic viscosity of the fluid in the clear water tank, is the Reynolds stress, u i ′ is the pulsating velocity of the fluid in the clear water pool in the i direction of the particle, u j ′ is the pulsating velocity of the fluid in the clear water pool in the j direction of the particle, f i is the unit mass force of the fluid in the clear water tank in the i direction of the particle;

[0017] S13, combining the continuity equation of the clear water tank in sub-step S11 and the momentum equation of the clear water tank in sub-step S12, constructing a fluid turbulence model of the clear water tank, which is expressed as:

[0018]

[0019] Further, step S2 includes the following sub-steps:

[0020] S21, obtaining structural parameters of the clear water tank, and constructing a fluid domain geometric model of the clear water tank according to the structural parameters of the clear water tank;

[0021] S22, meshing the fluid domain geometric model of the clear water tank in step S21, and locally encrypting the inlet and outlet of the clear water tank to obtain an initial mesh geometric model of the fluid domain of the clear water tank;

[0022] S23, performing a grid independence test on the initial grid geometry model of the fluid domain of the clear water tank in sub-step S22, and determining the initial grid geometry model of the fluid domain of the clear water tank that passes the grid independence test as the grid geometry model of the fluid domain of the clear water tank.

[0023] Furthermore, in sub-step S21, the structural parameters of the clear water tank include size data, shape data, corridor layout data, guide plate setting data and distribution data of equipment in the clear water tank.

[0024] Further, step S3 includes the following sub-steps:

[0025] S31. Determine a solution method for the fluid dynamics of the clear water tank, and set boundary conditions and convergence judgment basis in the solution method;

[0026] S32, according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometric model of the clear water tank in step S2, and using the solution method after setting the boundary conditions and convergence judgment basis in sub-step S31, obtain the horizontal cross-sectional velocity and trace distribution cloud map of the converged clear water tank;

[0027] S33, obtaining a distribution cloud diagram of the water flow velocity in the clear water tank according to the converged horizontal cross-sectional velocity of the clear water tank in sub-step S32.

[0028] Furthermore, in sub-step S31, the boundary conditions are set in the solution method as follows: the inlet boundary condition adopts the velocity inlet, the wall boundary condition sets the fluid material to liquid water, and a rigid body no-slip viscous flow wall is adopted on the wall, and the outlet boundary condition adopts free outflow.

[0029] Furthermore, in sub-step S31, the convergence judgment basis is set in the solution method as follows: variable residual is used as the basis for judging the convergence of calculation, and 0.001 is used as the convergence standard for steady-state and transient simulation.

[0030] Further, step S4 includes the following sub-steps:

[0031] S41, obtaining a residence time distribution density function curve and a cumulative residence time distribution function curve of the clear water tank according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain grid geometry model of the clear water tank in step S2;

[0032] S42, determining the hydraulic performance of the clear water tank according to the residence time distribution density function curve and the cumulative residence time distribution function curve of the clear water tank in sub-step S41;

[0033] S43, constructing a chlorine decay model using a first-order kinetic model and additional source terms;

[0034] S44, determining the disinfection efficiency of the clean water tank according to the hydraulic performance of the clean water tank in sub-step S42 and the chlorine decay model in sub-step S43;

[0035] S45. Select a control method using the water flow velocity distribution cloud map and the trace distribution cloud map of the clean water pool in step S3, and use the selected control method to optimize the disinfection efficiency of the clean water pool in sub-step S44.

[0036] Further, in sub-step S43, a chlorine decay model is constructed using a first-order kinetic model and an additional source term, which is expressed as:

[0037]

[0038] Where: C Cl is the concentration of chlorine in the clean water pool, t is the time, k FR is the consumption rate of chlorine by compounds in the clean water tank, C FR is the concentration of fast-reacting compounds in the clear water tank, k b is the volume decay rate of the disinfectant.

[0039] Furthermore, in sub-step S45, the control method includes extending the long side transverse guide plates and canceling the short side guide plates, adding chamfers, and changing the guide plates into longitudinal guide plates.

[0040] The beneficial effects of the present invention are:

[0041] (1) The present invention can solve the "black box" problem of the clean water tank by constructing a turbulence model and a fluid domain grid geometry model of the clean water tank, thereby effectively describing the flow field conditions in the tank and the disinfection process;

[0042] (2) The present invention constructs a chlorine attenuation model and combines it with the hydraulic performance of the clean water tank to quantify the disinfection energy dissipation in the clean water tank, thereby providing a basis for the regulation and optimization of the disinfection energy dissipation in the clean water tank;

[0043] (3) The present invention combines the hydraulic performance and control method of the clear water tank to achieve the optimization of the control of the disinfection efficiency of the clear water tank. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 A schematic diagram of a method for optimizing the control of disinfection efficiency in a clean water pool;

[0045] Figure 2 This is a three-dimensional schematic diagram of the clear water pool three-dimensional model;

[0046] Figure 3 This is the mesh division diagram of the fluid domain of the clear water tank;

[0047] Figure 4 It is the curve diagram of the outlet flow rate changing with the number of grids;

[0048] Figure 5 Schematic diagram of the clean water tank structure optimization plan. DETAILED DESCRIPTION

[0049] The specific implementation modes of the present invention are described below to facilitate those skilled in the art to understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0050] like Figure 1 As shown, a method for optimizing the disinfection efficiency of a clean water pool includes steps S1-S4, which are as follows:

[0051] S1. Construct a fluid turbulence model for a clear water tank.

[0052] In an optional embodiment of the present invention, the present invention uses a standard k-ε model of RANS (Reynolds average Navier-Stockes) to establish a turbulence model of the fluid in the clear water tank.

[0053] Step S1 includes the following sub-steps:

[0054] S11. Construct the continuity equation of the clear water tank, expressed as:

[0055]

[0056] in: is the time-averaged velocity of the fluid in the clear water pool in the j direction of the particle, x j is the j direction of the particle.

[0057] S12. Construct the momentum equation of the clean water tank, expressed as:

[0058]

[0059] in: is the time-averaged velocity of the fluid in the clear water pool in the i direction of the particle, x i is the i direction of the particle, t is the time, ρ is the density of the fluid in the clear water pool, is the average pressure of the fluid in the clear water tank, μ is the kinematic viscosity of the fluid in the clear water tank, is the Reynolds stress, u i ′ is the pulsating velocity of the fluid in the clear water pool in the i direction of the particle, u j ′ is the pulsating velocity of the fluid in the clear water pool in the j direction of the particle, f i is the unit mass force of the fluid in the clean water pool in the i direction of the particle.

[0060] S13, combining the continuity equation of the clear water tank in sub-step S11 and the momentum equation of the clear water tank in sub-step S12, constructing a fluid turbulence model of the clear water tank, which is expressed as:

[0061]

[0062] S2. Obtain structural parameters of the clear water tank, and construct a fluid domain mesh geometric model of the clear water tank according to the structural parameters of the clear water tank.

[0063] In an optional embodiment of the present invention, the present invention obtains the structural parameters of the clear water tank and constructs the fluid domain mesh geometric model of the clear water tank according to the structural parameters of the clear water tank. The structural parameters of the clear water tank include the size data, shape data, corridor layout data, guide plate setting information and distribution data of equipment in the clear water tank.

[0064] Step S2 includes the following sub-steps:

[0065] S21. Obtain structural parameters of the clear water tank, and construct a fluid domain geometric model of the clear water tank according to the structural parameters of the clear water tank.

[0066] Specifically, the structural parameters of the clear water tank include the size data, shape data, corridor layout data, guide plate setting data and distribution data of the equipment in the clear water tank.

[0067] After obtaining the structural parameters of the clear water tank, the present invention uses Soliworks modeling software to establish a fluid domain geometric model of the clear water tank.

[0068] S22, meshing the fluid domain geometric model of the clear water tank in step S21, and locally encrypting the inlet and outlet of the clear water tank to obtain an initial mesh geometric model of the fluid domain of the clear water tank.

[0069] like Figure 2 As shown, the present invention provides a schematic diagram of a three-dimensional model of a clear water tank. The present invention performs meshing on the fluid domain geometric model of the clear water tank, and locally encrypts the inlet and outlet of the clear water tank to obtain an initial mesh geometric model of the fluid domain of the clear water tank, such as Figure 3 shown.

[0070] S23, performing a grid independence test on the initial grid geometry model of the fluid domain of the clear water tank in sub-step S22, and determining the initial grid geometry model of the fluid domain of the clear water tank that passes the grid independence test as the grid geometry model of the fluid domain of the clear water tank.

[0071] like Figure 4As shown, the present invention provides a curve diagram of the outlet flow rate changing with the number of grids. In the present invention, after the number of grids in the initial grid geometry model of the fluid domain of the clear water tank is 7.5 on the horizontal axis, the change of its outlet mass flow rate is significantly reduced, and the initial grid geometry model of the fluid domain of the clear water tank passes the grid independence test and is determined to be the fluid domain grid geometry model of the clear water tank.

[0072] S3. According to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometry model of the clear water tank in step S2, a water velocity distribution cloud map and a trajectory distribution cloud map of the clear water tank are obtained.

[0073] In an optional embodiment of the present invention, the present invention obtains a water velocity distribution cloud map and a trajectory distribution cloud map of the clear water tank based on a fluid turbulence model of the clear water tank and a fluid domain mesh geometry model of the clear water tank.

[0074] Step S3 includes the following sub-steps:

[0075] S31. Determine the solution method for the fluid dynamics of the clear water tank, and set boundary conditions and convergence judgment criteria in the solution method.

[0076] Specifically, the present invention determines the SIMPLE method of the pressure correction method as the solution method for the fluid dynamics of the clear water tank.

[0077] The boundary conditions set in the solution method of the present invention are specifically as follows: the inlet boundary condition adopts the velocity inlet, the wall boundary condition sets the fluid material to liquid water, and a rigid body non-slip viscous flow wall is adopted on the wall, and the outlet boundary condition adopts free outflow.

[0078] The inlet boundary condition adopts velocity inlet to ensure good convergence of the model and keep the inlet flow stable. The turbulence at the inlet and outlet of the clear water tank and inside the tank belongs to medium turbulence intensity, and the turbulence intensity is set to 5%, and the turbulent viscosity ratio is set to 10; the wall boundary condition sets the fluid material to liquid water, and the wall adopts a rigid body non-slip viscous flow wall, and the influence of the friction of the tank wall is not considered; the outlet boundary condition is set to free outflow according to the actual situation of the clear water tank outlet of the water plant, and the turbulence intensity and turbulent viscosity ratio are consistent with the inlet.

[0079] The present invention sets the convergence judgment basis in the solution method as follows: variable residual is used as the basis for judging the convergence of calculation, and 0.001 is used as the convergence standard of steady-state and transient simulation.

[0080] S32. According to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometry model of the clear water tank in step S2, and using the solution method after setting the boundary conditions and convergence judgment basis in sub-step S31, obtain the converged horizontal section velocity and trajectory distribution cloud map of the clear water tank.

[0081] S33, obtaining a distribution cloud diagram of the water flow velocity in the clear water tank according to the converged horizontal cross-sectional velocity of the clear water tank in sub-step S32.

[0082] Specifically, the present invention uses Fluent software to obtain a distribution cloud map of water flow velocity in the clear water tank according to the convergent horizontal cross-sectional velocity of the clear water tank.

[0083] S4. Determine the hydraulic performance of the clear water tank according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometry model of the clear water tank in step S2, construct a chlorine attenuation model, determine the disinfection efficiency of the clear water tank according to the hydraulic performance of the clear water tank and the chlorine attenuation model, and optimize the disinfection efficiency of the clear water tank using the water flow velocity distribution cloud map and trace distribution cloud map of the clear water tank in step S3.

[0084] In an optional embodiment of the present invention, the present invention determines the hydraulic performance of the clear water tank based on the fluid turbulence model of the clear water tank and the fluid domain mesh geometry model of the clear water tank, constructs a chlorine attenuation model, determines the disinfection efficiency of the clear water tank based on the hydraulic performance of the clear water tank and the chlorine attenuation model, and optimizes the disinfection efficiency of the clear water tank using a water flow velocity distribution cloud map and a trajectory distribution cloud map of the clear water tank.

[0085] Step S4 includes the following sub-steps:

[0086] S41. According to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometry model of the clear water tank in step S2, a residence time distribution density function curve and a cumulative residence time distribution function curve of the clear water tank are obtained.

[0087] Specifically, the present invention obtains stable fluid data of the clear water tank based on the fluid turbulence model of the clear water tank and the fluid domain grid geometry model of the clear water tank, and obtains the residence time distribution density function curve and the cumulative residence time distribution function curve of the clear water tank by using the stable fluid data of the clear water tank and the component transport simulation method.

[0088] S42. Determine the hydraulic performance of the clear water tank according to the residence time distribution density function curve and the cumulative residence time distribution function curve of the clear water tank in sub-step S41.

[0089] Specifically, the present invention obtains the short-circuit index θ of the clean water tank according to the residence time distribution density function curve and the cumulative residence time distribution function curve of the clean water tank. 10 , the short-circuit index θ of the clean water tank 10 <0.3, the hydraulic performance of the clean water tank is poor; 0.3< the short circuit index θ of the clean water tank 10 <0.5, the hydraulic performance of the clean water tank is average; 0.5< the short circuit index θ of the clean water tank 10<0.7, the hydraulic performance of the clean water tank is good; 0.7< the short circuit index θ of the clean water tank 10 <1.0, the hydraulic performance of the clear water tank is excellent.

[0090] S43. The chlorine decay model is constructed using the first-order kinetic model and additional source terms.

[0091] The present invention adopts a first-order kinetic model and an additional source term to construct a chlorine decay model, which is expressed as:

[0092]

[0093] Where: C Cl is the concentration of chlorine in the clean water pool, t is the time, k FR is the consumption rate of chlorine by compounds in the clean water tank, C FR is the concentration of fast-reacting compounds in the clear water tank, k b is the volume decay rate of the disinfectant.

[0094] S44. Determine the disinfection efficiency of the clean water tank according to the hydraulic performance of the clean water tank in sub-step S42 and the chlorine attenuation model in sub-step S43.

[0095] Specifically, the present invention converts the short-circuit index θ of the clear water tank into 10 The value is determined as the disinfection energy dissipation index.

[0096] The present invention connects the chlorine decay model with the Fluent software, uses the SIMPLE method of the determined pressure correction method, obtains the stable fluid data of the clean water tank, and combines the hydraulic performance of the clean water tank, that is, the short-circuit index θ of the clean water tank. 10 value to determine the disinfection efficiency of the clean water pool.

[0097] S45. Select a control method using the water flow velocity distribution cloud map and the trace distribution cloud map of the clean water pool in step S3, and use the selected control method to optimize the disinfection efficiency of the clean water pool in sub-step S44.

[0098] The present invention uses the water flow velocity distribution cloud map and the trace distribution cloud map of the clean water pool to select a control method, and uses the selected control method to optimize the disinfection efficiency of the clean water pool. Figure 5 As shown, the control method includes extending the long side lateral guide plate and canceling the short side guide plate, adding chamfers, and changing the guide plate to a longitudinal guide plate.

[0099] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A method for optimizing the disinfection efficiency of a clean water tank, characterized in that: The following steps are involved: S1. Construct the fluid turbulence model of the clear water tank; S2. Obtain structural parameters of the clear water tank, and construct a fluid domain mesh geometric model of the clear water tank according to the structural parameters of the clear water tank; S3, obtaining a water velocity distribution cloud map and a trace distribution cloud map of the clear water tank according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometry model of the clear water tank in step S2; S4. Determine the hydraulic performance of the clear water tank according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometry model of the clear water tank in step S2, construct a chlorine attenuation model, determine the disinfection efficiency of the clear water tank according to the hydraulic performance of the clear water tank and the chlorine attenuation model, and optimize the disinfection efficiency of the clear water tank using the water flow velocity distribution cloud map and trace distribution cloud map of the clear water tank in step S3.

2. The method for optimizing the disinfection efficiency of a clean water tank according to claim 1, characterized in that: Step S1 includes the following sub-steps: S11. Construct the continuity equation of the clear water tank, expressed as: in: is the time-averaged velocity of the fluid in the clear water pool in the j direction of the particle, x j is the j direction of the particle; S12. Construct the momentum equation of the clean water tank, expressed as: in: is the time-averaged velocity of the fluid in the clear water pool in the i direction of the particle, x i is the i direction of the particle, t is the time, ρ is the density of the fluid in the clear water pool, is the average pressure of the fluid in the clear water tank, μ is the kinematic viscosity of the fluid in the clear water tank, is the Reynolds stress, u i ′ is the pulsating velocity of the fluid in the clear water pool in the i direction of the particle, u j ′ is the pulsating velocity of the fluid in the clear water pool in the j direction of the particle, f i is the unit mass force of the fluid in the clear water tank in the i direction of the particle; S13, combining the continuity equation of the clear water tank in sub-step S11 and the momentum equation of the clear water tank in sub-step S12, constructing a fluid turbulence model of the clear water tank, which is expressed as:

3. The method for optimizing the disinfection efficiency of a clean water tank according to claim 1, characterized in that: Step S2 includes the following sub-steps: S21, obtaining structural parameters of the clear water tank, and constructing a fluid domain geometric model of the clear water tank according to the structural parameters of the clear water tank; S22, meshing the fluid domain geometric model of the clear water tank in step S21, and locally encrypting the inlet and outlet of the clear water tank to obtain an initial mesh geometric model of the fluid domain of the clear water tank; S23, performing a grid independence test on the initial grid geometry model of the fluid domain of the clear water tank in sub-step S22, and determining the initial grid geometry model of the fluid domain of the clear water tank that passes the grid independence test as the grid geometry model of the fluid domain of the clear water tank.

4. The method for optimizing the disinfection efficiency of a clean water tank according to claim 3, characterized in that: In sub-step S21, the structural parameters of the clear water tank include the size data, shape data, corridor layout data, guide plate setting data and distribution data of the equipment in the clear water tank.

5. The method for optimizing the disinfection efficiency of a clean water pool according to claim 1, characterized in that: Step S3 includes the following sub-steps: S31. Determine a solution method for the fluid dynamics of the clear water tank, and set boundary conditions and convergence judgment basis in the solution method; S32, according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain mesh geometric model of the clear water tank in step S2, and using the solution method after setting the boundary conditions and convergence judgment basis in sub-step S31, obtain the horizontal cross-sectional velocity and trace distribution cloud map of the converged clear water tank; S33, obtaining a distribution cloud diagram of the water flow velocity in the clear water tank according to the converged horizontal cross-sectional velocity of the clear water tank in sub-step S32.

6. A method for optimizing the disinfection efficiency of a clean water pool according to claim 5, characterized in that: In sub-step S31, the boundary conditions are set in the solution method as follows: the inlet boundary condition adopts the velocity inlet, the wall boundary condition sets the fluid material to liquid water, and a rigid body no-slip viscous flow wall is adopted on the wall, and the outlet boundary condition adopts free outflow.

7. The method for optimizing the disinfection efficiency of a clean water pool according to claim 5, characterized in that: In sub-step S31, the convergence judgment basis is set in the solution method as follows: variable residual is used as the basis for judging the convergence of calculation, and 0.001 is used as the convergence standard for steady-state and transient simulation.

8. The method for optimizing the disinfection efficiency of a clean water pool according to claim 1, characterized in that: Step S4 includes the following sub-steps: S41, obtaining a residence time distribution density function curve and a cumulative residence time distribution function curve of the clear water tank according to the fluid turbulence model of the clear water tank in step S1 and the fluid domain grid geometry model of the clear water tank in step S2; S42, determining the hydraulic performance of the clear water tank according to the residence time distribution density function curve and the cumulative residence time distribution function curve of the clear water tank in sub-step S41; S43, constructing a chlorine decay model using a first-order kinetic model and additional source terms; S44, determining the disinfection efficiency of the clean water tank according to the hydraulic performance of the clean water tank in sub-step S42 and the chlorine attenuation model in sub-step S43; S45. Select a control method using the water flow velocity distribution cloud map and the trace distribution cloud map of the clean water pool in step S3, and use the selected control method to optimize the disinfection efficiency of the clean water pool in sub-step S44.

9. A method for optimizing the disinfection efficiency of a clean water pool according to claim 8, characterized in that: In sub-step S43, a chlorine decay model is constructed using a first-order kinetic model and an additional source term, which is expressed as: Where: C Cl is the concentration of chlorine in the clean water pool, t is the time, k FR is the consumption rate of chlorine by compounds in the clean water tank, C FR is the concentration of fast-reacting compounds in the clear water tank, k b is the volume decay rate of the disinfectant.

10. The method for optimizing the disinfection efficiency of a clean water pool according to claim 8, characterized in that: In sub-step S45, the control method includes extending the long side transverse guide plates and removing the short side guide plates, adding chamfers, and changing the guide plates into longitudinal guide plates.

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