River water quality treatment model construction method, river water quality treatment method, river water quality treatment device and river water quality treatment equipment
By constructing a river water quality management model, calculating the water quality data and governance effects of each river section, and determining the optimal governance plan, the problem of poor river water quality management in the existing technology is solved, and the scientificity and accuracy of river water quality management is achieved.
Patent Information
- Application Number
- CN202411618931.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-13
- Publication Date
- 2025-02-28
AI Technical Summary
In the existing technology, river water quality management plans are formulated based on the predicted development trends of river water quality and past experience, which cannot guarantee the governance effect and cannot scientifically achieve river water quality management.
By obtaining the water quality model of the river to be treated, pollution source data under different pollution states and data of multiple governance plans, the river is divided into multiple river sections, the water quality data of each river section in pollution-free and different pollution states are calculated, and the water quality data after the treatment of each river section is calculated based on different governance plans, the optimal target governance plan is determined, and a water quality governance model is constructed to characterize the relationship between pollution source data and governance plans.
It has achieved scientificity and accuracy of river water quality management, can quickly simulate and obtain the best water quality management methods, improve the governance effect, and solves the problem that river water quality management cannot be scientifically achieved based on past experience.
Smart Images
Figure CN119540011A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of electronic technology, and in particular to the construction of a river water quality management model and a water quality management method, device and equipment. Background Art
[0002] With the continuous development of population and economy, water resources have become one of the increasingly scarce important resources. The pollution of a river's water quality will directly affect the river's impact on the ecological economy and society. At this stage, the basin is facing a large amount of unreasonable discharge of industrial, agricultural and urban domestic sewage, and the water environment is in a complex pollution situation. Therefore, research on river water quality management is particularly important.
[0003] In the related technology, the simulation of river water quality is usually used to predict the development trend of river water quality, and then a river water quality management plan is formulated based on the predicted development trend of river water quality and past experience. However, river water quality management based on past experience cannot guarantee the management effect and cannot scientifically achieve river water quality management. Summary of the invention
[0004] In view of this, the present invention provides a river water quality management model construction and water quality management method, device and equipment to solve the problem in the related technology that the management effect of river water quality cannot be guaranteed when formulating river water quality management plans based on predicted river water quality development trends and past experience.
[0005] In a first aspect, the present invention provides a method for constructing a water quality management model for a river, the method comprising: obtaining a water quality model of a river to be managed, pollution source data of the river to be managed under different pollution states, and data of multiple management plans, the water quality model dividing the river to be managed into multiple river sections; calculating first water quality data of each river section under a pollution-free state based on the water quality model; inputting pollution source data under each pollution state into the water quality model for calculation to obtain second water quality data of each river section under the corresponding pollution state; calculating third water quality data of each river section after management under different management plans under the corresponding pollution state based on different management plan data, second water quality data of each river section under each pollution state, and the water quality model; determining a target management plan under the corresponding pollution state based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after management under different management plans under the corresponding pollution state; constructing a water quality management model for the river to be managed based on the pollution source data under different pollution states and the data of the corresponding target management plans.
[0006] The method for constructing a water quality treatment model for a river provided by the present invention calculates, through the water quality model of the river to be treated, first water quality data of each river section of the river to be treated in a pollution-free state, second water quality data of each river section under different pollution states, and third water quality data of each river section treated according to different treatment schemes under each pollution state; based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section treated according to different treatment schemes under the corresponding pollution state, the optimal target treatment scheme for the river to be treated under the corresponding pollution state is determined; based on the pollution source data under each pollution state and the target treatment scheme The water quality management model of the river to be managed is constructed based on the data. The water quality management model of the river to be managed can characterize the correlation between the pollution source data and the data of the target management plan. Subsequently, the pollution source data of the river to be managed and the water quality management model of the river to be managed can be used to determine the data of the target management plan. The river management can be achieved using the target management plan data. The water quality management model of the river to be managed constructed is convenient for rapid simulation to obtain the best water quality management method, which can make the management of river water quality faster and more accurate, and solves the problem that water quality management based on past experience in related technologies cannot scientifically achieve river water management.
[0007] In an optional embodiment, based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment schemes under the corresponding pollution state, the step of determining the target treatment scheme under the corresponding pollution state includes: calculating the treatment effect coefficients of different treatment schemes for the corresponding river section under the corresponding pollution state based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment schemes under the corresponding pollution state; determining the target treatment scheme for the river to be treated under the corresponding pollution state based on the treatment effect coefficients of different treatment schemes under each pollution state.
[0008] The method provided by this optional implementation mode determines the optimal target governance scheme through the governance effect coefficients of different governance schemes, and can more accurately determine the target governance scheme for the river to be governed under various pollution conditions.
[0009] In an optional embodiment, the pollution source data under each pollution state is input into the water quality model for calculation to obtain the second water quality data of each river section under the corresponding pollution state, including: obtaining initial conditions and boundary conditions; inputting the pollution source data, initial conditions and boundary conditions under each pollution state into the water quality model to obtain a target water quality model; solving the target water quality model using the finite difference method to obtain the second water quality data of each river section under the corresponding pollution state.
[0010] In an optional embodiment, based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment schemes corresponding to the corresponding pollution state, the step of calculating the treatment effect coefficient of different treatment schemes for the corresponding river section under the corresponding pollution state includes: comparing the second water quality data of each river section under each pollution state and the third water quality data corresponding to the different treatment schemes to obtain the first comparison results corresponding to the different treatment schemes for the corresponding river section under the corresponding pollution state; comparing the first water quality data of each river section with the third water quality data corresponding to the different treatment schemes under the pollution state to obtain the second comparison results corresponding to the different treatment schemes for the corresponding river section under the corresponding pollution state; calculating the treatment effect coefficient of different treatment schemes for the corresponding river section under the corresponding pollution state based on the first comparison result and the second comparison result of each treatment scheme for each river section under each pollution state.
[0011] In a second aspect, the present invention provides a method for water quality control of a river, the method comprising: obtaining target pollution source data of the river to be controlled; inputting the target pollution source data of the river to be controlled into a pre-constructed water quality control model so that the water quality control model outputs data of a target control solution, the water quality control model being constructed by the method for constructing a water quality control model for a river according to the first aspect or any corresponding embodiment thereof; and using the data of the target control solution output by the water quality control model to perform water quality control on the river to be controlled.
[0012] The river water quality treatment method provided by the present invention can determine the data of the target treatment plan by using the pollution source data of the river to be treated and the water quality treatment model of the river to be treated, and the river treatment can be achieved by using the target treatment plan data. The water quality treatment model can characterize the correlation between the pollution source data and the data of the target treatment plan. The constructed water quality treatment model of the river to be treated facilitates rapid simulation to obtain the optimal water quality treatment method, which can make the treatment of river water quality faster and more accurate, and solves the problem that the water quality treatment based on past experience in the related technology cannot scientifically achieve river water treatment.
[0013] In a third aspect, the present invention provides a device for constructing a water quality management model for a river, the device comprising: a first acquisition module, used to obtain a water quality model of a river to be managed, pollution source data of the river to be managed under different pollution states, and data of multiple management plans, wherein the water quality model divides the river to be managed into multiple river sections; a first calculation module, used to calculate the first water quality data of each river section under a pollution-free state based on the water quality model; a second calculation module, used to input the pollution source data under each pollution state into the water quality model for calculation, and obtain the second water quality data of each river section under the corresponding pollution state; a third calculation module, used to calculate the third water quality data of each river section after being managed under different management plans under the corresponding pollution state based on the data of different management plans, the second water quality data of each river section under each pollution state, and the water quality model; a first determination module, used to determine the target management plan under the corresponding pollution state based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after being managed under different management plans under the corresponding pollution state; an association module, used to construct a water quality management model for the river to be managed based on the pollution source data under different pollution states and the data of the corresponding target management plans.
[0014] In a fourth aspect, the present invention provides a river water quality treatment device, the device comprising: a second acquisition module, used to obtain target pollution source data of the river to be treated; a second determination module, used to input the target pollution source data of the river to be treated into a pre-constructed water quality treatment model, so that the water quality treatment model outputs data of a target treatment plan, and the water quality treatment model is constructed by the river water quality treatment model construction method of the first aspect or any corresponding embodiment thereof; a treatment module, used to use the data of the target treatment plan output by the water quality treatment model to perform water quality treatment on the river to be treated.
[0015] In a fifth aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for constructing a river water quality management model according to the first aspect or any corresponding embodiment thereof, or executes the method for constructing a river water quality management model according to the second aspect by executing the computer instructions.
[0016] In a sixth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for constructing a river water quality management model according to the first aspect or any corresponding embodiment thereof, or to execute the method for constructing a river water quality management model according to the second aspect.
[0017] In a seventh aspect, the present invention provides a computer program product comprising computer instructions, wherein the computer instructions are used to enable a computer to execute the method for constructing a river water quality management model according to the first aspect or any corresponding embodiment thereof, or to execute the method for constructing a river water quality management model according to the second aspect. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0019] Figure 1 is a flow chart of a method for constructing a river water quality management model according to an embodiment of the present invention;
[0020] Figure 2 is a flow chart of a method for constructing a water quality management model for another river according to an embodiment of the present invention;
[0021] Figure 3 is a schematic flow chart of a method for treating river water quality according to an embodiment of the present invention;
[0022] Figure 4 is a structural block diagram of a device for constructing a river water quality management model according to an embodiment of the present invention;
[0023] Figure 5 is a structural block diagram of a river water quality treatment device according to an embodiment of the present invention;
[0024] Figure 6 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION
[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.
[0026] In the related technology, the simulation of river water quality is usually used to predict the development trend of river water quality, and then a river water quality management plan is formulated based on the predicted development trend of river water quality and past experience. However, river water quality management based on past experience cannot guarantee the management effect and cannot scientifically achieve river water quality management.
[0027] In view of this, a method for constructing a river water quality management model provided in an embodiment of the present application can be applied to a server to realize the construction of a river water quality management model. The method provided by the present invention calculates the first water quality data of each river section of the river to be governed in a pollution-free state, the second water quality data of each river section under different pollution states, and the third water quality data of each river section after being governed according to different governance schemes under each pollution state through a water quality model of the river to be governed; based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after being governed according to different governance schemes under the corresponding pollution state, the optimal target governance scheme of the river to be governed under the corresponding pollution state is determined; based on the pollution source data under each pollution state and the data of the target governance scheme, a water quality governance model of the river to be governed is constructed to characterize the correlation between the pollution source data and the data of the target governance scheme; subsequently, the pollution source data of the river to be governed and the water quality governance model of the river to be governed can be used to determine the data of the target governance scheme; the river governance can be realized by using the target governance scheme data; the constructed water quality governance model of the river to be governed is convenient for rapid simulation to obtain the optimal water quality governance method, and the governance of the river water quality can be made faster and more accurate, thereby solving the problem that the river water governance cannot be scientifically realized in the water quality governance based on past experience in the related technology.
[0028] According to an embodiment of the present invention, an embodiment of a method for constructing a water quality management model for a river is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.
[0029] In this embodiment, a method for constructing a river water quality management model is provided, which can be used in the above-mentioned server. Figure 1 is a flow chart of a method for constructing a river water quality management model according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:
[0030] Step S101, obtaining a water quality model of the river to be treated, pollution source data of the river to be treated under different pollution states, and data of multiple treatment plans. The water quality model divides the river to be treated into multiple river sections.
[0031] Exemplarily, the river to be managed is a river that needs water quality management, and the water quality model of the river to be managed is obtained by sorting and compiling the QUAL2K model based on the basin hydrological data, water quality data, basin topography and meteorological data of the river to be managed. The water quality model divides the river into a series of constant non-uniform flow river sections, and then divides each river section into a number of equal-length calculation units. The same river section has the same hydraulic and water quality characteristics and parameters, while the hydraulic and water quality characteristics of different river sections are different. In the embodiment of the present application, the specific number of multiple river sections is not limited, and those skilled in the art can determine it according to needs. In the embodiment of the present application, the basic equation of the QUAL2K model is shown in the following formula (1):
[0032]
[0033] Among them, ρ is the mass concentration of water quality components, in mg / L; x is the step size of the calculation unit, in m; t is time, in s; u is the flow rate, in m / s; E x is the longitudinal diffusion coefficient of the river, in m 2 / s; S is the mass concentration of the input and output substances outside the component, in mg / L; V is the volume of the calculation unit, in m 3 .
[0034] Step S102, obtaining first water quality data of each river section in a pollution-free state based on the water quality model.
[0035] Exemplarily, the first water quality data of each river section under pollution-free conditions can be calculated based on the water quality model, and the first water quality data is used to characterize the change in concentration of water quality components under the initial state.
[0036] Step S103, inputting the pollution source data under each pollution state into the water quality model for calculation to obtain the second water quality data of each river section under the corresponding pollution state.
[0037] Exemplarily, the pollution source data is used to characterize the location of the pollution source and the mass concentration of the substance. By adding the corresponding pollution source data to the constructed river basin water environment mathematical model, the water quality data of the corresponding river sections after pollution are obtained.
[0038] Step S104, based on the data of different treatment schemes, the second water quality data of each river section under each pollution state and the water quality model, calculate the third water quality data of each river section after treatment under different treatment schemes corresponding to the pollution state.
[0039] Exemplarily, in an embodiment of the present application, based on a water quality model, the influence of horizontal diffusion, dilution, self-reaction of water quality components, interaction between water quality components, and external sources and sinks of components on component concentrations are taken into consideration to calculate the changes in pollutant concentrations at different time periods and at different distance points, and the third water quality data of the river section of each calculation unit is obtained, and there is a one-to-one correspondence between the calculation unit and the river section.
[0040] Step S105, based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment according to different treatment plans under the corresponding pollution state, determine the target treatment plan under the corresponding pollution state.
[0041] Exemplarily, in an embodiment of the present application, the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment corresponding to different treatment schemes under the corresponding pollution state are compared and analyzed, and the optimal treatment scheme among the different treatment schemes under each pollution state is determined as the target treatment scheme.
[0042] Step S106, constructing a water quality management model for the river to be managed based on the pollution source data under different pollution states and the data of the corresponding target management solutions.
[0043] Exemplarily, in an embodiment of the present application, the pollution source data under each pollution state can be associated with the data of the corresponding target control solution to construct an associated data set, and a preset neural network model can be trained based on the associated data set so that the model learns the association between different pollution source data and control solution data. After the model training is completed, it can be used to predict the optimal control solution data under any pollution state.
[0044] The method for constructing a water quality treatment model for a river provided in this embodiment calculates, through the water quality model of the river to be treated, first water quality data of each river section of the river to be treated under a pollution-free state, second water quality data of each river section under different pollution states, and third water quality data of each river section treated under different treatment schemes under each pollution state; based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section treated under different treatment schemes under the corresponding pollution state, the optimal target treatment scheme for the river to be treated under the corresponding pollution state is determined; based on the pollution source data under each pollution state and the target treatment scheme, the optimal target treatment scheme for the river to be treated under the corresponding pollution state is determined. The water quality management model of the river to be managed is constructed based on the data of the plan. The water quality management model of the river to be managed can characterize the correlation between the pollution source data and the data of the target management plan. Subsequently, the pollution source data of the river to be managed and the water quality management model of the river to be managed can be used to determine the data of the target management plan. The river management can be achieved using the target management plan data. The water quality management model of the river to be managed constructed is convenient for rapid simulation to obtain the best water quality management method, which can make the management of river water quality faster and more accurate, and solves the problem that water quality management based on past experience in related technologies cannot scientifically achieve river water management.
[0045] In this embodiment, a method for constructing a river water quality management model is provided, which can be used in the above-mentioned server. Figure 2 is a flow chart of a method for constructing a river water quality management model according to an embodiment of the present invention. Figure 2 As shown, the process includes the following steps:
[0046] Step S201, obtain the water quality model of the river to be treated, the pollution source data of the river to be treated under different pollution states, and the data of multiple treatment plans. The water quality model divides the river to be treated into multiple river sections. For details, please refer to Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.
[0047] Step S202: Calculate the first water quality data of each river section under the pollution-free state based on the water quality model. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.
[0048] Step S203, inputting the pollution source data under each pollution state into the water quality model for calculation to obtain the second water quality data of each river section under the corresponding pollution state.
[0049] Specifically, the above step S203 includes:
[0050] Step S2031, obtaining initial conditions and boundary conditions.
[0051] Step S2032, inputting the pollution source data, initial conditions and boundary conditions under each pollution state into the water quality model to obtain the target water quality model.
[0052] Step S2033, using the finite difference method to solve the target water quality model, to obtain the second water quality data of each river section under the corresponding pollution state.
[0053] For example, in the embodiment of the present application, for the above formula (1), since dρ / dt is the mass concentration function of the water quality indicator ρ, dρ / dt=kρ is set, and the finite difference method is used to find its numerical solution, and its finite difference equation is decomposed into: Let x i =iΔx,t j =jΔt,k i = kΔt, ρ(x i ,t j )=ρ j,i , where i = 0, 1, 2, ..., n, n is the number of calculation units after river section generalization, j = 1, 2, ..., m, j is the pumping time / day, the following formula (2) can be obtained:
[0054]
[0055]
[0056]
[0057] Substituting the above formula (2) into the above formula (1) and transforming it, we get the following formula (3):
[0058]
[0059] Among them, i represents the river section number, x i represents the i-th river section. When i=1, let ρ j,-1 =ρ j,0 , ρ 0,i =0(ρ j,0 is the boundary initial condition), then E in the above equation (3) xi 、u i , k i , S, and V are all known initial and boundary conditions. By solving the above formula (3), the concentration changes of pollutants at different time periods and different distance points can be obtained.
[0060] Step S204, based on the different treatment scheme data, the second water quality data of each river section under each pollution state, and the water quality model, calculate the third water quality data of each river section after treatment under different treatment schemes under the corresponding pollution state. Exemplarily, in the embodiment of the present application, when solving the third water quality data of each river section after treatment under different treatment schemes under each pollution state, it can also be achieved by solving the above formula (3), and the concentration change of pollutants at different time periods and different distance points when each treatment scheme is treated under each pollution state is solved. According to the concentration change of pollutants at different time periods and different distance points, the water quality of the river section of each calculation unit is obtained, and the water quality changes in real time according to the progress of treatment.
[0061] Step S205, based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment according to different treatment plans under the corresponding pollution state, determine the target treatment plan under the corresponding pollution state.
[0062] Specifically, the above step S205 includes:
[0063] Step S2051, based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment schemes under the corresponding pollution state, calculate the treatment effect coefficient of different treatment schemes for the corresponding river section under the corresponding pollution state.
[0064] In some optional implementations, the above step S2051 includes:
[0065] Step a1, comparing the second water quality data of each river section under each pollution state and the third water quality data corresponding to different treatment schemes, to obtain first comparison results corresponding to different treatment schemes under corresponding pollution state for corresponding river sections.
[0066] Illustratively, in an embodiment of the present application, by comparing the first water quality data of each river section with the third water quality data corresponding to different treatment schemes under each pollution state, the change information of the water quality after treatment relative to the initial water quality can be obtained, and the change information is determined as the first comparison result.
[0067] Step a2, comparing the first water quality data of each river section with the third water quality data corresponding to different treatment schemes under each pollution state, to obtain second comparison results corresponding to different treatment schemes under corresponding pollution states for the corresponding river section.
[0068] Illustratively, in an embodiment of the present application, by comparing the first water quality data of each river section with the third water quality data corresponding to different treatment schemes under each pollution state, the change information of the water quality after treatment relative to the water quality after pollution can be determined, and the change information is determined as the second comparison result.
[0069] Step a3, based on the first comparison results and the second comparison results of the treatment plans for each river section under each pollution state, the treatment effect coefficients of different treatment plans for the corresponding river section under the corresponding pollution state are calculated.
[0070] Exemplarily, in an embodiment of the present application, determining the governance effect coefficient based on the first comparison information and the second comparison information can effectively improve the accuracy of the results of determining the governance effect coefficient.
[0071] Step S2052, determining a target treatment scheme for the river to be treated under the corresponding pollution state based on the treatment effect coefficients of different treatment schemes under each pollution state.
[0072] Exemplarily, in the embodiment of the present application, the governance plan with the largest governance effect coefficient is determined as the target governance plan.
[0073] Step S206: Based on the pollution source data under different pollution states and the data of the corresponding target treatment solutions, a water quality treatment model for the river to be treated is constructed. Figure 1 Step S106 of the illustrated embodiment will not be described in detail here.
[0074] In this embodiment, a method for treating river water quality is provided, which can be used in a terminal device to treat river water quality. Figure 3 : is a flow chart of a method for treating river water quality according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:
[0075] Step S301, obtaining target pollution source data of the river to be treated.
[0076] Exemplarily, in an embodiment of the present application, the target pollution source data of the river to be controlled may be river pollution source data detected in real time.
[0077] Step S302, input the target pollution source data of the river to be treated into a pre-constructed water quality treatment model so that the water quality treatment model outputs data of the target treatment plan. The water quality treatment model is constructed by the river water quality treatment model construction method in the above embodiment.
[0078] Exemplarily, the target pollution source data is input into a pre-built water quality management model, and the model will output data corresponding to the target management solution. The construction process of the water quality management model is described in the above embodiment and will not be repeated here.
[0079] Step S303, using the data of the target treatment plan output by the water quality treatment model to treat the water quality of the river to be treated.
[0080] In the embodiment of the present application, the method also includes: water quality management can be performed based on the regulating river basin management module, the regulating river basin management module monitors the real-time water quality data of the corresponding river section during the management process and the water quality data before management through the monitoring devices pre-installed in each river section, determines the real-time change of the management effect coefficient based on the monitored real-time water quality data, the water quality data before management and the initial water quality data, and adjusts the management intensity of the river in real time based on the real-time change of the management effect coefficient. Specifically, the regulating river basin management module adopts artificial restoration measures to promote the recovery of the water ecosystem in the river basin and conducts pre-management of water source pollution in the river basin.
[0081] Furthermore, the real-time governance effect coefficient can be accurately measured by the two-point method. The two points are selected as 10 meters downstream of the pollution source and any point downstream of the regulating river basin governance module. By comparing the real-time water quality data after governance, the initial water quality data and the water quality database before governance of the river section of the corresponding calculation unit, the real-time governance effect coefficient of the governance module on the water quality situation is obtained. The real-time governance effect coefficient measurement selects multiple downstream points of the river basin governance module, and obtains multiple governance effect coefficients through comparison. By comparing multiple governance effect coefficients, the governance length required for the governance of the polluted river basin is obtained.
[0082] The river water quality treatment method provided by the present invention can determine the data of the target treatment plan by using the pollution source data of the river to be treated and the water quality treatment model of the river to be treated, and the river treatment can be achieved by using the target treatment plan data. The water quality treatment model can characterize the correlation between the pollution source data and the data of the target treatment plan. The constructed water quality treatment model of the river to be treated facilitates rapid simulation to obtain the optimal water quality treatment method, which can make the treatment of river water quality faster and more accurate, and solves the problem that the water quality treatment based on past experience in the related technology cannot scientifically achieve river water treatment.
[0083] In this embodiment, a device for constructing a water quality management model for a river is also provided, and the device is used to implement the above-mentioned embodiments and preferred embodiments, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and conceived.
[0084] This embodiment provides a device for constructing a river water quality management model. Figure 4 As shown, including:
[0085] The first acquisition module 401 is used to obtain a water quality model of the river to be treated, pollution source data of the river to be treated under different pollution states, and data of multiple treatment plans. The water quality model divides the river to be treated into multiple river sections;
[0086] A first calculation module 402, for calculating first water quality data of each river section in a pollution-free state based on a water quality model;
[0087] The second calculation module 403 is used to input the pollution source data under each pollution state into the water quality model for calculation to obtain the second water quality data of each river section under the corresponding pollution state;
[0088] The third calculation module 404 is used to calculate the third water quality data of each river section treated by different treatment schemes under the corresponding pollution state based on the data of different treatment schemes, the second water quality data of each river section under each pollution state and the water quality model;
[0089] The first determination module 405 is used to determine the target treatment scheme under the corresponding pollution state based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment schemes under the corresponding pollution state respectively.
[0090] The association module 406 is used to construct a water quality management model for the river to be managed based on the pollution source data under different pollution states and the data of the corresponding target management solutions.
[0091] In some optional implementations, the first determining module 405 includes:
[0092] The first calculation submodule is used to calculate the treatment effect coefficient of different treatment schemes for the corresponding river section under the corresponding pollution state based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment schemes under the corresponding pollution state;
[0093] The first determination submodule is used to determine a target governance scheme for the river to be governed under the corresponding pollution state based on governance effect coefficients of different governance schemes under various pollution states.
[0094] In some optional implementations, the second calculation module 403 includes:
[0095] The acquisition submodule is used to obtain initial conditions and boundary conditions;
[0096] The second determination module is used to input the pollution source data, initial conditions and boundary conditions under each pollution state into the water quality model to obtain the target water quality model;
[0097] The solution submodule is used to solve the target water quality model using the finite difference method to obtain the second water quality data of each river section under the corresponding pollution state.
[0098] In some optional implementations, the first calculation submodule includes:
[0099] The first comparison unit is used to compare the second water quality data of each river section under each pollution state and the third water quality data corresponding to different treatment schemes, so as to obtain first comparison results corresponding to different treatment schemes under corresponding pollution state of the corresponding river section;
[0100] The second comparison unit is used to compare the first water quality data of each river section with the third water quality data corresponding to different treatment schemes under each pollution state, so as to obtain second comparison results corresponding to different treatment schemes under the corresponding pollution state of the corresponding river section;
[0101] The calculation unit is used to calculate the control effect coefficient of different control schemes for the corresponding river section under the corresponding pollution state based on the first comparison result and the second comparison result of each control scheme for each river section under each pollution state.
[0102] This embodiment provides a river water quality control device, such as Figure 5 As shown, including:
[0103] The second acquisition module 501 is used to acquire target pollution source data of the river to be treated;
[0104] The second determination module 502 is used to input the target pollution source data of the river to be treated into a pre-constructed water quality treatment model so that the water quality treatment model outputs data of the target treatment solution. The water quality treatment model is constructed by the river water quality treatment model construction method in the above embodiment;
[0105] The treatment module 503 is used to treat the water quality of the river to be treated by using the data of the target treatment plan output by the water quality treatment model.
[0106] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.
[0107] The river water quality management model construction device and the river water quality management device in this embodiment are presented in the form of functional units, where the units refer to ASIC (Application Specific Integrated Circuit) circuits, processors and memories that execute one or more software or fixed programs, and / or other devices that can provide the above-mentioned functions.
[0108] The embodiment of the present invention also provides a computer device having the above Figure 4 The water quality control model construction device of the river shown in the figure, or the device having the above Figure 5 The river water quality control device shown.
[0109] See also Figure 6 , Figure 6 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Figure 6 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 6 A processor 10 is taken as an example.
[0110] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.
[0111] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.
[0112] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.
[0113] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.
[0114] The computer device further comprises a communication interface 30 for the computer device to communicate with other devices or a communication network.
[0115] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.
[0116] A part of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the existence of the computer program instruction in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc., and accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium accessible to the computer.
[0117] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.
Claims
1. A method for constructing a river water quality management model, characterized in that: The method comprises: Obtaining a water quality model of a river to be treated, pollution source data of the river to be treated under different pollution states, and data of multiple treatment plans, wherein the water quality model divides the river to be treated into multiple river sections; Calculate the first water quality data of each river section in a pollution-free state based on the water quality model; The pollution source data under each pollution state is input into the water quality model for calculation to obtain the second water quality data of each river section under the corresponding pollution state; Based on the data of different treatment schemes, the second water quality data of each river section under each pollution state and the water quality model, the third water quality data of each river section after treatment under different treatment schemes corresponding to the pollution state are calculated; Based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment plans under the corresponding pollution state, determine the target treatment plan under the corresponding pollution state; Based on the pollution source data under different pollution states and the data of the corresponding target treatment plans, a water quality treatment model for the river to be treated is constructed.
2. The method according to claim 1, characterized in that: Based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment plans under the corresponding pollution state, the step of determining the target treatment plan under the corresponding pollution state includes: Based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after treatment under different treatment schemes under the corresponding pollution state, the treatment effect coefficients of different treatment schemes for the corresponding river section under the corresponding pollution state are calculated; Based on the control effect coefficients of different control schemes under various pollution conditions, the target control scheme for the river to be controlled under the corresponding pollution state is determined.
3. The method according to claim 1, characterized in that The step of inputting the pollution source data under each pollution state into the water quality model for calculation to obtain the second water quality data of each river section under the corresponding pollution state comprises: Obtain initial and boundary conditions; Inputting the pollution source data under each pollution state, the initial conditions and the boundary conditions into the water quality model to obtain a target water quality model; The target water quality model is solved using the finite difference method to obtain the second water quality data of each river section under the corresponding pollution state.
4. The method according to claim 2, characterized in that: Based on the first water quality data of each river section, the second water quality data of each river section under each pollution state, and the third water quality data of each river section after the different treatment schemes under the corresponding pollution state are respectively corresponding to the treatment of each river section, the step of calculating the treatment effect coefficient of different treatment schemes for the corresponding river section under the corresponding pollution state includes: Compare the second water quality data of each river section under each pollution state and the third water quality data corresponding to different treatment schemes, to obtain first comparison results corresponding to different treatment schemes under corresponding pollution state for corresponding river sections; Compare the first water quality data of each river section with the third water quality data corresponding to different treatment plans under each pollution state, and obtain the second comparison results corresponding to different treatment plans under the corresponding pollution state of the corresponding river section; Based on the first comparison results and the second comparison results of each treatment plan for each river section under each pollution state, the treatment effect coefficients of different treatment plans for the corresponding river section under the corresponding pollution state are calculated.
5. A method for river water quality control, characterized in that: The method comprises: Obtain target pollution source data of the river to be treated; Inputting the target pollution source data of the river to be treated into a pre-constructed water quality treatment model so that the water quality treatment model outputs data of the target treatment plan, wherein the water quality treatment model is constructed by the method for constructing a water quality treatment model for a river according to any one of claims 1 to 4; The water quality of the river to be managed is managed using the data of the target management plan output by the water quality management model.
6. A device for constructing a river water quality management model, characterized in that: The device comprises: A first acquisition module is used to acquire a water quality model of the river to be treated, pollution source data of the river to be treated under different pollution states, and data of multiple treatment plans, wherein the water quality model divides the river to be treated into multiple river sections; A first calculation module, used for calculating the first water quality data of each river section in a pollution-free state based on the water quality model; A second calculation module is used to input the pollution source data under each pollution state into the water quality model for calculation to obtain the second water quality data of each river section under the corresponding pollution state; A third calculation module is used to calculate the third water quality data of each river section after treatment under different treatment schemes corresponding to the pollution state based on the data of different treatment schemes, the second water quality data of each river section under each pollution state and the water quality model; A first determination module is used to determine a target treatment scheme under a corresponding pollution state based on first water quality data of each river section, second water quality data of each river section under each pollution state, and third water quality data of each river section treated under different treatment schemes under the corresponding pollution state; The association module is used to construct a water quality management model for the river to be managed based on the pollution source data under different pollution states and the data of the corresponding target management solutions.
7. A river water quality control device, characterized in that: The device comprises: The second acquisition module is used to obtain the target pollution source data of the river to be treated; A second determination module is used to input the target pollution source data of the river to be treated into a pre-constructed water quality treatment model so that the water quality treatment model outputs data of the target treatment plan, and the water quality treatment model is constructed by the river water quality treatment model construction method according to any one of claims 1 to 4; The treatment module is used to treat the water quality of the river to be treated by using the data of the target treatment plan output by the water quality treatment model.
8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for constructing a river water quality management model according to any one of claims 1 to 4, or executes the method for river water quality management according to claim 5, by executing the computer instructions.
9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method for constructing a river water quality management model according to any one of claims 1 to 4, or to execute the method for river water quality management according to claim 5.
10. A computer program product, characterized in that It includes computer instructions, which are used to enable a computer to execute the river water quality management model construction method described in any one of claims 1 to 4, or execute the river water quality management method described in claim 5.