A sewage treatment method, system, device and medium

Abstract

The present invention provides a sewage treatment method, system, device and medium, the method comprising obtaining basic data of drainage facilities; constructing a river network hydraulic water quality model according to the basic data of drainage facilities, and predicting the trend of river water quality changes according to the river network hydraulic water quality model; conducting source tracing simulation analysis on pollution sources based on the trend of river water quality changes to determine the distribution of a first pollution source; and / or determining the distribution of a second pollution source based on the topological structure of a pipe network based on the trend of river water quality changes; performing pollution source scheduling according to the distribution of the first pollution source and / or the distribution of the second pollution source, the pollution source scheduling including pump station group scheduling and sewage treatment plant scheduling; the method can effectively alleviate the problem of deterioration of river water quality during the rainy season, realize intelligent, scientific and precise scheduling driven by real-time monitoring information data and prediction data, and can be widely used in the field of sewage treatment technology.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to a sewage treatment method, system, device and medium. Background Art

[0002] In recent years, urban drainage has achieved tremendous development, with great progress in both flood prevention and pollution control. However, since urban drainage business involves multiple challenges such as urban public services, people's livelihood, and urban image, urban drainage has always been subject to many management difficulties, especially the handling of water pollution incidents, which still has certain defects or shortcomings.

[0003] At present, in the field of drainage informatization, traditional low-level technologies are basically used to realize intelligent monitoring and management of drainage. Problems such as duplicate system construction, information closure, unmet needs, and data that have not formed an organic whole have always hindered the improvement and widespread application of intelligent drainage work. Summary of the invention

[0004] In view of this, in order to at least partially solve one of the above-mentioned technical problems, an embodiment of the present invention aims to provide a more refined, more intelligent and more integrated sewage treatment method, as well as a system, device and corresponding storage medium capable of implementing the method.

[0005] In a first aspect, the technical solution of the present application provides a sewage treatment method, the steps of which include:

[0006] Obtain basic data of drainage facilities;

[0007] Based on the basic data of drainage facilities, a river network hydraulic and water quality model is constructed, and the changing trend of river water quality is predicted based on the river network hydraulic and water quality model;

[0008] Conducting a source tracing simulation analysis on the pollution source based on the changing trend of the river water quality to determine the distribution of the first pollution source; and / or determining the distribution of the second pollution source based on the changing trend of the river water quality and the topological structure of the pipe network;

[0009] Pollution source scheduling is performed according to the distribution of the first pollution source and / or the distribution of the second pollution source, and the pollution source scheduling includes pump station group scheduling and sewage treatment plant scheduling.

[0010] In a feasible embodiment of the present application, after obtaining the basic data of drainage facilities, the method further includes the following steps:

[0011] Generate a GIS map based on the basic data of drainage facilities;

[0012] The changing trend of the river water quality is visualized on the GIS map.

[0013] In a feasible embodiment of the present application, the step of constructing a river network hydraulic and water quality model based on the drainage facility basic data and predicting the river water quality change trend based on the river network hydraulic and water quality model includes at least one of the following steps:

[0014] Gridding the river network area to be predicted in the river network hydraulic and water quality model;

[0015] Generalizing the hydraulic structures and rivers in the river network hydraulic and water quality model to obtain a time series file;

[0016] Introducing eddy viscosity coefficient into the river network hydraulic and water quality model;

[0017] The roughness, attenuation coefficient and diffusion coefficient of the river network hydraulic and water quality model are determined.

[0018] In a feasible embodiment of the present application, the source tracing simulation analysis is performed on the pollution source based on the change trend of the river water quality to determine the distribution of the first pollution source, which includes the following steps:

[0019] By conducting correlation analysis on the probability density of the forward concentration distribution of pollutants and the probability density of the reverse position, a sudden water pollution source tracing model is constructed;

[0020] The location of the first pollution source, the pollution emission time and the pollution emission intensity of the first pollution source are obtained according to the sudden water pollution source tracing model.

[0021] In a feasible embodiment of the solution of the present application, the distribution of the second pollution source is determined based on the change trend of the water quality of the river according to the topological structure of the pipe network, which includes the following steps:

[0022] Construct a pipe network topology diagram based on the basic data of drainage facilities and construct a water quality fingerprint database;

[0023] The candidate range of the second pollution source is determined according to the pipe network topology diagram, and the second pollution source is determined through the water quality fingerprint database.

[0024] In a feasible embodiment of the present application, the pump station group scheduling includes at least one of the following steps:

[0025] Increase the water quality concentration index of the sewage treatment plant to maintain the balance of water volume;

[0026] Increase sewage capacity during flood season and control pumping stations to discharge water at off-peak times;

[0027] The sewage is transported evenly according to the water quality of the sewage received by the pump station.

[0028] In a feasible embodiment of the present application, after the step of solving the sudden water pollution source tracing model to obtain the location of the first pollution source, the pollution emission time of the first pollution source, and the pollution emission intensity, the method further includes:

[0029] Simulating the concentration field formed by the first pollution sources of several source strengths through the river network hydraulic water quality model;

[0030] A relationship map between the pollutant concentration and the source strength is generated according to the concentration field, and the relationship map is visualized.

[0031] In a second aspect, the technical solution of the present invention further provides a sewage treatment system, which comprises:

[0032] A data acquisition module is used to obtain basic data of drainage facilities;

[0033] A water quality prediction module, used to construct a river network hydraulic and water quality model based on the drainage facility basic data, and predict the changing trend of river water quality based on the river network hydraulic and water quality model;

[0034] A pollution source tracing module is used to perform a source tracing simulation analysis on the pollution source based on the change trend of the water quality of the river channel, and determine the distribution of the first pollution source; and / or determine the distribution of the second pollution source based on the change trend of the water quality of the river channel and the topological structure of the pipe network;

[0035] The joint scheduling module is used to perform pollution source scheduling according to the distribution of the first pollution source and / or the distribution of the second pollution source, and the pollution source scheduling includes pump station group scheduling and sewage treatment plant scheduling.

[0036] In a third aspect, the technical solution of the present invention further provides a sewage treatment device, which comprises:

[0037] at least one processor;

[0038] at least one memory for storing at least one program;

[0039] When at least one program is executed by at least one processor, the at least one processor runs a sewage treatment method in the first aspect.

[0040] In a fourth aspect, the technical solution of the present invention further provides a storage medium, in which a program executable by a processor is stored. When the program executable by the processor is executed by the processor, it is used to run the method in the first aspect.

[0041] The advantages and beneficial effects of the present invention will be partially given in the following description, and the other parts can be understood through the specific embodiments of the present invention:

[0042] The technical solution of the present application obtains the basic data of drainage facilities in the water area or river network area to be predicted, constructs a hydraulic and water quality model of the river network, conducts water pollution source tracing analysis to locate the distribution of pollution sources, or combines the pipe network topology structure to accurately locate the location of the pollution source, and conducts joint scheduling of sewage treatment for pump station groups and sewage treatment plants, so as to make full use of the production capacity and forebay capacity of sewage treatment plants, increase the capacity of sewage and drainage pump stations in advance, fully tap the potential of pipe network troughs to store pollution, alleviate the problem of deterioration of river water quality during rainy season, and realize intelligent, scientific and precise scheduling driven by real-time monitoring information data and prediction data. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0044] Figure 1 A flowchart of a sewage treatment method provided by an embodiment of the present invention;

[0045] Figure 2 This is a schematic diagram of water pollution source tracing in an embodiment of the present invention;

[0046] Figure 3 This is a flow chart for dispatching sudden water pollution of rivers and lakes in an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limitations of the present invention. For the step numbers in the following embodiments, they are only provided for the convenience of explanation, and the order between the steps is not limited in any way. The execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0048] Based on the technical problems or defects of the existing technical solutions mentioned in the above background technology, the technical solution of this application is organically integrated around the drainage treatment units such as source, plant, network, river, and lake to form an integrated management system and layout, and finally form an integrated management model with business linkage and vertical and horizontal coordination. Among them, the management of source, plant, network, river, and lake is mainly aimed at the management of the entire process of urban drainage; specifically in the source, plant, network, river, and lake, the source is the source of sewage; the plant is the internal structure of the sewage treatment plant (including integrated facilities) and facilities and equipment; the network is the existing municipal drainage facilities within the service scope of the sewage treatment plant, including rainwater and sewage pipe networks and channels, inspection wells, drainage outlets, sewage interception facilities, rainwater and sewage pumping stations and their ancillary facilities, etc., and rivers and lakes are natural receiving water bodies.

[0049] On the basis of the above theory, in the first aspect, Figure 1 As shown, the present application provides a sewage treatment method, the main steps of which may include S100-S400:

[0050] S100, obtaining basic data of drainage facilities;

[0051] The basic data of drainage facilities may include but are not limited to drainage households, manholes, drainage pipes, drainage ditches, rainwater inlets, discharge outlets, flap gates, overflow weirs, gates, valves, storage tanks, pumping stations, water collection wells, water pumps, and sewage treatment plants, etc. Specifically, the embodiments can achieve long-term updating of the basic data of drainage facilities by building, storing, updating, and managing the basic data of drainage facilities in the city, ensure the accuracy of the basic data of drainage facilities, and provide reliable data support for realizing smart drainage.

[0052] In addition, this embodiment can build an information platform based on GIS, enter the basic data of drainage facilities into the GIS information platform, and manage the basic data of drainage facilities in the whole city, so as to achieve long-term update of the basic data of drainage facilities, ensure the accuracy of the basic data of drainage facilities, and provide reliable data support for the realization of smart drainage. The embodiment can use the GIS information platform to carry out intelligent transformation of large-scale drainage facilities such as sewage treatment plants, sewage pumping stations, and gates, and realize high reliability, automation, and intelligence with few or no people on duty. The platform can issue dispatch instructions to on-site staff for execution, or it can realize facility dispatch through PLC remote control.

[0053] S200, construct a river network hydraulic and water quality model based on the basic data of drainage facilities, and predict the trend of river water quality changes based on the river network hydraulic and water quality model;

[0054] Specifically, the embodiment predicts the changing trend of river water quality based on the river network hydraulic water quality model; then the pollution source is traced back and simulated and analyzed through pollution contribution rate calculation to grasp the distribution of key pollution sources affecting the water quality of the assessment section; the network hydraulic water quality model is mainly used to predict data such as rainfall, water level, flow velocity and flow, so that the operation of drainage facilities and equipment can be fully covered and dynamically controlled when the operation status of the drainage system is obtained in real time.

[0055] In some optional embodiments, the method can be implemented by following steps S210-S240 in the process of constructing the river network hydraulic and water quality model:

[0056] S210, gridding the river network area to be predicted in the river network hydraulic and water quality model;

[0057] Specifically, in the process of constructing the river network hydraulic and water quality model, the embodiment first performs grid generation and terrain interpolation on the target river network area. The grid generation process mainly includes steps such as selecting an appropriate simulation area according to the research object, determining the resolution of the terrain grid, defining land boundaries and open boundaries, and terrain interpolation.

[0058] S220, generalizing the hydraulic structures and rivers in the river network hydraulic and water quality model to obtain a time series file;

[0059] Specifically, after the river network area is gridded, the sluice gates and pumps at all levels in the target water area of ​​the river network hydraulic and water quality model of the embodiment are generalized. The sluice gates can be opened and closed by time series files, and the water diversion of the pumping station can also be controlled by time series files or set to stable water diversion.

[0060] S230, introduce eddy viscosity coefficient into river network hydraulic and water quality model;

[0061] Specifically, in the embodiment, the effective shear stress of the momentum equation in the river network hydraulic and water quality model includes laminar shear and turbulent Reynolds shear. The additional Reynolds stress caused by the fluid is much smaller in spatial scale than the grid divided in step S210. Therefore, the embodiment introduces the eddy viscosity coefficient to describe the integral acting on the fluid particles in time. The variables are decomposed into average flow and turbulent disturbances, and other additional shear terms are generated, including laminar shear and turbulent Reynolds shear in the momentum equation. By increasing the eddy viscosity coefficient, the embodiment can gradient the case where the variables are decomposed into average values ​​to reduce the impact of excess shear.

[0062] For example, in the river network hydraulic and water quality model, the sub-grid Smagorinsky model can be used to calculate the eddy viscosity coefficient A, and the calculation formula is:

[0063]

[0064] In formula (1), C is the Smagorinsky coefficient, which is a constant; l is the characteristic length, is the deformation rate, which is defined as:

[0065]

[0066] Formula (2) is the deformation rate tensor formula of the fluid.

[0067] S240, determining the roughness, attenuation coefficient and diffusion coefficient of the river network hydraulic and water quality model;

[0068] Specifically, roughness is an important parameter of the river network hydraulic and water quality model, and whether its setting is reasonable or not directly affects the accuracy of the simulation results. In the two-dimensional water flow calculation, the calculation method of using only one total roughness for a section or even the entire river channel is very rough, and the roughness distribution along the width and length of the river is very uneven, and the difference is often several times or even more; in order to make the calculation results of the river network hydraulic and water quality model better conform to the actual situation, the roughness values ​​of different positions of the river can be obtained by combining historical experimental results and related literature for repeated calibration, and the regional norm composed of various roughness values ​​is defined as the roughness field, and a roughness field file is generated.

[0069] In the embodiment, the water pollution control indicators are selected as COD and ammonia nitrogen. The existing reference scientific research institutions have done a lot of work on the water environment protection planning of various important external rivers. In the embodiment, the attenuation coefficients of COD and ammonia nitrogen can be determined based on the existing research results and combined with the river fluidity.

[0070] Since the diffusion of substances in water can be divided into molecular diffusion, turbulent diffusion and dispersion; among them, molecular diffusion is the diffusion caused by the thermal motion of molecules. Turbulent diffusion is the diffusion of substances from high concentration to low concentration due to turbulent pulsation. Dispersion is the diffusion caused by the shear caused by the uneven actual flow velocity of the fluid at each point on the cross section. In the river network hydraulic water quality model of the embodiment, the Scaled Eddy formula is used to calculate the diffusion coefficient, that is, the diffusion coefficient is proportional to the eddy viscosity coefficient, and the proportionality coefficient is 1.1.

[0071] Exemplarily, in the integrated steps S210-S240, the river network hydraulic and water quality model of this embodiment is constructed using the open source HEC-RAS software. HEC-RAS is a river hydraulic calculation program developed by the Engineering Hydrology Center of the United States. HEC-RAS currently supports one-dimensional / two-dimensional hydrodynamic models, one-dimensional moving bed sediment transport models, one-dimensional water quality models, and also has the ability to couple hydraulic structures such as dams, dikes, weirs, culverts, bridges, etc.

[0072] In the process of building the river network hydraulic and water quality model in the embodiment, there are three stages: the first stage is the model establishment and verification stage, the second stage is the model review stage, and the third stage is the model analysis and application stage. The first stage may include the process of parameter determination in steps S210-S240, and may also include the model verification and model calibration process:

[0073] In the process of model verification, the existing hydrological stations are used as verification sites. The embodiment can select hydrological test data that can represent the upper and lower boundaries within a certain period of time to verify the model after parameter calibration, and draw a comparison chart between the water level calculation results of the verification point and the actual measurement process.

[0074] In the process of model calibration, a set of parameters is first assumed, substituted into the model to obtain the calculation results, and then the calculation results are compared with the measured data. If the calculated value is not much different from the measured value, the parameters at this time are used as the parameters of the model; if the calculated value is significantly different from the measured value, the parameters are adjusted and substituted into the model for recalculation, and then compared again until the error between the calculated value and the measured value meets a certain range, and then the set of model parameters is determined to be used as the parameter series of the model for subsequent analysis and evaluation. The model calibration uses temporary measurement data, and the verification of the model after calibration uses another relatively independent measurement record, historical records and accumulated data.

[0075] S300, performing source tracing simulation analysis on pollution sources based on the changing trend of river water quality to determine the distribution of a first pollution source; and / or determining the distribution of a second pollution source based on the changing trend of river water quality and the topological structure of the pipe network;

[0076] In the embodiment, the first pollution source is the pollution source in the sudden water pollution incident in the river channel; the second pollution source is the pollution source in the combined rainwater and sewage drainage network. Specifically, the embodiment can perform sudden water pollution source tracing analysis and locate the sewage outlet; it can also accurately locate the pollution source in the combined rainwater and sewage drainage network through pipe network topology analysis and water quality fingerprint.

[0077] S400, performing pollution source scheduling according to the distribution of the first pollution source and / or the distribution of the second pollution source, where the pollution source scheduling includes pump station group scheduling and sewage treatment plant scheduling;

[0078] Specifically, the individual scheduling of source plant networks, rivers and lakes in the embodiments may include but is not limited to individual methods of drainage units such as river network hydraulic and water quality models, pipe network scheduling, pump group peak shifting scheduling, and sewage treatment plant scheduling, so as to form an organic whole and construct a refined joint scheduling organism with multi-parameter coupling such as river network-pipeline network-pump group-plant station.

[0079] The embodiment accurately locates the distribution of pollution sources through steps S200 and S300; utilizes the production capacity of the sewage treatment plant and the capacity of the forebay to increase the capacity of the sewage and drainage pump station in advance, lowers the operating water level of the drainage gate, pump gate and pipe network, reduces the sewage inventory in advance, reduces urban sewage overflow, fully taps the sewage storage potential of the pipe network trough, avoids or reduces the total amount of sewage overflowing into the main river channel and the mixed rain and sewage, alleviates the problem of deterioration of river water quality during the rainy season, and realizes scientific and accurate scheduling simulation driven by real-time monitoring and forecasting data and using remote control as a means.

[0080] In some optional embodiments, the method performs a source tracing simulation analysis on the pollution source based on the change trend of river water quality to determine the distribution of the first pollution source, which may include steps S310-S320:

[0081] S310. Construct a sudden water pollution source tracing model by conducting correlation analysis on the probability density of the forward concentration distribution of pollutants and the probability density of the reverse position;

[0082] S320. Obtain the location of the first pollution source, the pollution emission time and the pollution emission intensity of the first pollution source according to the sudden water pollution source tracing model.

[0083] In the embodiment, in order to effectively control the impact scope of sudden water pollution incidents in rivers and canals and predict their development trends, it is necessary to analyze the migration and transformation mechanism of pollutants in rivers and canals and the basic principles of tracking and tracing the source, so as to understand some laws of the migration and diffusion of pollutants in rivers and canals, and then study and operate related mathematical control methods based on these laws to achieve tracking and tracing of sudden water pollution incidents in rivers and canals.

[0084] The main task of tracing the source of sudden water pollution is to determine the location of the pollution source, the time of pollutant discharge and the intensity of discharge. The embodiment combines deterministic methods and probabilistic methods, and on the basis of intelligent algorithms, constructs a sudden water pollution tracing model based on the coupled probability density method (Coupled probability density function, C-PDF). Based on the trend of river water quality changes predicted by the river network hydraulic water quality model, considering the observation error, the correlation analysis of the probability density of the forward concentration distribution of pollutants and the probability density of the reverse position is carried out to construct an optimization model with the location of the pollution source and the release time as parameters, and then the data envelopment analysis (Data envelopment analysis, DEA) method is used to solve the model to obtain the location of the sudden pollution source and the pollution discharge time (time). On this basis, a minimum optimization model is constructed according to the probability density function of the forward concentration distribution of pollutants to solve the intensity of the pollution source.

[0085] For example, taking a sudden water pollution incident that occurred in a certain river as an example, the sudden water pollution incident was tracked and traced. Figure 2 As shown in Figure 2, if the cross-sectional geometry of the channel does not change much, Figure 2 u represents the average water flow velocity in the river channel, E x represents the longitudinal dispersion coefficient of the canal, k represents the attenuation coefficient of the pollutant in the canal, and s(t) represents the source and sink of the pollutant in the canal. In addition, several observation points q are arranged in the calculation area [0, L] t (t=1,2,......m), and q(t) is used to represent the pollutant concentration distribution function observed in the period t:

[0086]

[0087] Therefore, the key to tracing the source of such sudden water pollution is to determine the model parameters and the location of the pollution source, the time and intensity of discharge, etc. based on known information.

[0088] In some optional embodiments, after step S320 of obtaining the location of the first pollution source, the pollution emission time of the first pollution source, and the pollution emission intensity according to the sudden water pollution source tracing model, the method further includes steps S330-S340:

[0089] S330, simulating the concentration field formed by a plurality of first pollution sources with different source strengths through a river network hydraulic water quality model;

[0090] S340, generating a relationship map between pollutant concentration and source strength according to the concentration field, and visually displaying the relationship map.

[0091] Specifically, in the embodiment, the changing trend of river water quality can be predicted based on the river network hydraulic water quality model; then, the pollution source can be traced back and simulated and analyzed by calculating the pollution contribution rate to grasp the distribution of key pollution sources that affect the water quality of the assessment section; and when the water quality in the river is abnormal, the established river water quality model can be run to simulate the concentration field of pollutant emissions with different source strengths, and a relationship map of pollutant source strength-concentration-time can be obtained, and further sorted to obtain a relationship map of pollutant concentration-source strength.

[0092] In some optional embodiments, the method determines the distribution of the second pollution source based on the change trend of the river water quality according to the pipe network topology, which may include steps S350-S360:

[0093] S350, constructing a pipe network topology diagram based on the basic data of drainage facilities and constructing a water quality fingerprint database;

[0094] Specifically, in the embodiment, based on the collected basic data of drainage facilities, such as the water system, pipe network, topography, and distribution of surrounding drainage households in the region, the relationship between drainage households, pipelines, drainage outlets, and river channels is clarified, and the coordinate system of various data is unified. Then, based on the basic data of the pipe network, a pipe network topology diagram is drawn.

[0095] In addition, industrial wastewater, domestic sewage and natural water bodies contain a variety of fluorescent substances, such as oils, humic acid, proteins, surfactants, vitamins, phenols and other aromatic compounds. Their three-dimensional fluorescence spectra will vary with the type and content of pollutants, and have the characteristic of one-to-one correspondence with water samples, so they can be called water quality fingerprints. Water quality fingerprints do not reflect the abnormality of a specific water quality parameter, but directly target the source of pollution emissions. Due to the high sensitivity of fluorescence analysis, water quality fingerprint technology can often provide early warning and traceability information of water quality abnormalities before conventional water quality parameters.

[0096] For example, in the embodiment, a water quality fingerprint database of the industry of the pollutant-discharging enterprises in the target river network area can be pre-established: typical wastewater of the industry is collected, tested, analyzed, screened, and stored to form a typical industry water quality fingerprint database, and a corresponding relationship between the drainage households and the water quality fingerprint is established. Once water pollution occurs, the embodiment can determine the industry category of the pollution source online, which is convenient for narrowing the scope of tracing the source and quickly locating the pollution source upstream of the pipe network.

[0097] S360: Determine a candidate range of a second pollution source according to the pipe network topology diagram, and determine the second pollution source through a water quality fingerprint database.

[0098] Specifically, based on the principle that pollutants are transmitted from upstream to downstream, when the water quality at the drainage outlet is found to exceed the standard, the network can be traced back upstream in combination with the topological structure diagram of the pipeline network, and the approximate range of the pollution source can be quickly locked in conjunction with the pre-set sensor monitoring results. The water quality fingerprint database can be used to further lock the pollution source within the range in combination with the pollutant content.

[0099] In some optional embodiments, in step S400, the process of pump station group scheduling includes steps S410-S430:

[0100] S410, increase the water quality concentration index of the sewage treatment plant to maintain the balance of water inflow;

[0101] Specifically, in the case of sunny days, the embodiment can enter the sunny day regular scheduling mode to meet the daily operation requirements; achieve the goal of increasing the water quality concentration index of the sewage treatment plant and maintaining the balance of the influent water volume. Alternatively, the embodiment can follow the special scheduling rules for the inspection or maintenance of each pump station on sunny days to meet the pump group operation requirements when each single main pump station is shut down for inspection or maintenance on sunny days to avoid regional sewage overflow.

[0102] S420, increase sewage capacity during flood season and control pump stations to discharge water at off-peak times;

[0103] Specifically, before the rain comes, the embodiment follows the pre-drainage temperature rule before the flood season and pre-drains the water in the pipe, which can increase the capacity of the sewage system during the flood season, while preventing rainwater from mixing with existing sewage and overflowing, causing environmental pollution.

[0104] S430, transporting the sewage evenly according to the water quality of the sewage collected by the pumping station;

[0105] Specifically, during the flood season, the embodiment enters the peak-shifting drainage scheduling mode of the pump station in the rainy flood season, and can adopt the scheduling mode rules of the pump group peak-shifting drainage under various common rainfall conditions to meet the requirements of the pump station peak-shifting drainage under different rainfall conditions to avoid sewage overflow. Alternatively, the embodiment follows the scheduling rules for preferentially transporting sewage from the pump group to meet the requirements of preferentially transporting water quality in accordance with the water quality of the sewage it receives under different rainfall characteristics, avoiding rainwater from entering the sewage system and reducing the high water level operation time.

[0106] The pump station group scheduling in the embodiment, as an important part of the source plant network, rivers and lakes, will timely adjust the operation scheduling rules of each pump station facility according to different scenarios.

[0107] Correspondingly, the sewage treatment plant scheduling process in the embodiment mainly includes the following processes:

[0108] First, the embodiment performs intelligent switching of the sewage treatment plant's sewage discharge capacity according to the actual operation scenario and sewage transportation needs, in conjunction with various scheduling modes of the pump station, such as rainy day scheduling mode, sunny day scheduling, peak-shifting scheduling mode, etc. Then, the peak-shifting discharge scheduling of the sewage treatment plant is carried out under different operating conditions and principles to achieve regional water quality and quantity balance, avoid excessive and insufficient water quality and quantity of the sewage treatment plant, ensure the overall water quality and quantity balance of the region, and conduct a preliminary analysis of the plant and station operation status after the peak shifting to predict the peak shifting results.

[0109] The embodiment designs a variety of scheduling rules for different scenarios and modes for the sewage treatment plant, so as to discharge the sewage into the sewage plant in a staggered manner, achieve the goal of maximizing the sewage transportation to the sewage plant for treatment, and avoid sewage overflow caused by untimely sewage treatment.

[0110] In some optional embodiments, after obtaining the basic data of drainage facilities, the method further includes steps S110-S120:

[0111] S110, generating a GIS map based on the basic data of drainage facilities;

[0112] S120. Visualize the changing trend of river water quality on a GIS map.

[0113] Specifically, the implementation example can pre-install a number of IoT sensing monitoring devices in the target river network area, and through modern information technologies such as the Internet of Things, big data, cloud computing and geographic information, all nodes such as sewage and rainwater pipes, manholes, rainwater outlets, discharge outlets, pumping stations, storage tanks, and sewage treatment plant imports and exports in the area can be digitized onto the GIS map through sensing devices; the rainfall, water level, flow rate, flow, water quality, video, etc. can be monitored to achieve real-time query and monitoring of the operation status of each drainage facility and equipment, as well as full-process and full-coverage dynamic management of the drainage situation.

[0114] In addition, for the monitoring and management of water pollution, river water quality monitoring equipment can be deployed in key waters during the implementation process to conduct real-time and continuous detection of river water pollution, enabling online monitoring and timely treatment of pollution prevention and control; to achieve plant-station-network-river linkage scheduling, provide remote control function for the transformation of industrial control facilities and equipment in the GIS platform, transmit the transformed signals and data into the system, control and schedule the facilities and receive feedback information.

[0115] In a second aspect, the technical solution of the present application further provides a sewage treatment system, which comprises:

[0116] A data acquisition module is used to obtain basic data of drainage facilities;

[0117] The water quality prediction module is used to construct a river network hydraulic and water quality model based on the basic data of drainage facilities, and to predict the changing trend of river water quality based on the river network hydraulic and water quality model;

[0118] The pollution source tracing module is used to perform source tracing simulation analysis on the pollution source based on the changing trend of river water quality, and determine the distribution of the first pollution source; and / or determine the distribution of the second pollution source based on the changing trend of river water quality and the topological structure of the pipe network;

[0119] The joint scheduling module is used to perform pollution source scheduling according to the distribution of the first pollution source and / or the distribution of the second pollution source, and the pollution source scheduling includes pump station group scheduling and sewage treatment plant scheduling.

[0120] Specifically, the process of joint scheduling in this embodiment is as follows: water pollution incidents are automatically discovered by the IoT monitoring equipment in the system; then the drainage outlets of sewage are quickly located using the river network hydraulic and water quality model; for river and lake water pollution incidents caused by illegal drainage and mixed rain and sewage by drainage households, the network scheduling and topological analysis are fully applied to trace the source of pollution and locate drainage households; for water pollution incidents caused by high water level operation of the network, the sewage treatment plant and pump station are jointly adjusted, the network operation is scheduled, and supporting maintenance work is carried out. In addition, for sewage overflow caused by improper treatment due to abnormal influent concentration of sewage treatment plants, the sewage treatment plant and pump station are jointly adjusted, the network operation is scheduled, and supporting maintenance work is carried out.

[0121] The implementation system can refine the scheduling mode by continuously rehearsing the hydraulic and water quality model data during operation, and use sensing technology, communication technology, computer and other technologies to obtain the operating data of the drainage system equipment. The dynamic optimal result of the equipment operation is obtained through real-time calculation of the mathematical model. The equipment operates intelligently based on the dynamic optimal result, so as to realize efficient operation of the drainage system, achieve energy saving and maximize the drainage effect of the system.

[0122] In a third aspect, the technical solution of the present application also provides a sewage treatment device, which includes at least one processor; at least one memory for storing at least one program; when the at least one program is executed by at least one processor, the at least one processor runs a sewage treatment method as in the first aspect.

[0123] An embodiment of the present invention further provides a storage medium storing a program, and the program is executed by a processor to implement the method in the first aspect.

[0124] like Figure 3 As shown, taking the case where a sudden abnormal water quality is detected at a water quality monitoring point in a river as an example, the steps of this embodiment are as follows:

[0125] 1. The system automatically detects abnormal water quality in the river and issues an alarm if the water quality exceeds the standard;

[0126] 2. The system uses the river network hydraulic and water quality model to trace the source of sewage according to the location and degree of pollution, thereby locating the sewage outlet;

[0127] 3. According to the plan given by the model calculation, execute the dispatching actions of the pipeline network, pumping station, sewage treatment plant, etc.;

[0128] (1) Use remote control to control the sewage pumping stations within the river to increase pumping and drainage;

[0129] (2) Issue transfer orders to the sewage treatment plants in the relevant districts, reminding them to increase their treatment capacity;

[0130] (3) Use pipe network scheduling and topological analysis to trace back from the drainage outlet, locate the drainage user, and conduct law enforcement.

[0131] 4. The system analyzes the water quality every two hours. If the water quality has returned to normal, the system will operate normally:

[0132] (1) Control the sewage pumping stations within the river channel through remote control to restore normal pumping and drainage;

[0133] (2) Issue a transfer order to the sewage treatment plant in the relevant district, reminding it to resume normal treatment capacity;

[0134] (3) Through remote control means, reduce the gate opening within the river channel and return to normal.

[0135] 5. After the water pollution incident is handled, a treatment report will be generated.

[0136] 6. All the above operations can be displayed, tracked and processed through the GIS system.

[0137] In addition, in another embodiment, taking the case of sewage overflow in a sewage well on a sunny day as an example, the process of source plant network river and lake water pollution dispatch is:

[0138] 1. The system automatically detects abnormal water level in the sewage well, finds sewage overflow, and issues an alarm;

[0139] 2. Use pipe network scheduling and topological analysis to trace the pipe network upstream of the sewage well, locate the drainage household, and inspectors check whether there is any illegal drainage;

[0140] 3. Use remote control to control the pumping station group downstream of the sewage well to increase pumping and drainage;

[0141] 4. Issue transfer orders to the sewage treatment plants in the corresponding drainage areas, reminding them to increase their treatment capacity;

[0142] 5. After the pollution incident is handled, a handling report is generated;

[0143] 6. All the above operations can be displayed, tracked and processed through the GIS system.

[0144] From the above specific implementation process, it can be concluded that the technical solution provided by the present invention has the following advantages or strengths compared with the prior art:

[0145] The technical solution of this application can make full use of the production capacity and front pool capacity of the sewage treatment plant, increase the capacity of the sewage and drainage pumping station in advance, fully tap the potential of the pipeline network to store sewage, alleviate the problem of deterioration of river water quality during the rainy season, and realize intelligent, scientific and precise scheduling driven by real-time monitoring information data and forecasting data.

[0146] In some selectable embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the present invention is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Selectable embodiments are expected, wherein the order of various operations is changed and the sub-operation of a part for which is described as a larger operation is performed independently.

[0147] In addition, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise specified, one or more of the functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding the present invention. More specifically, in view of the properties, functions and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional skills of the engineer. Therefore, those skilled in the art can implement the present invention set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present invention, which is determined by the full scope of the appended claims and their equivalents.

[0148] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processor or other system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

[0149] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0150] Although the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the claims and their equivalents.

[0151] The above is a specific description of the preferred implementation of the present invention, but the present invention is not limited to the above embodiments. Those skilled in the art may make various equivalent modifications or substitutions without violating the spirit of the present invention. These equivalent modifications or substitutions are all included in the scope defined by the claims of this application.

Claims

1. A sewage treatment method, characterized in that: The following steps are involved: Obtain basic data of drainage facilities; Based on the basic data of drainage facilities, a river network hydraulic and water quality model is constructed, and the changing trend of river water quality is predicted based on the river network hydraulic and water quality model; the river network hydraulic and water quality model is used to predict rainfall, water level, flow velocity and flow data; Based on the change trend of the water quality of the river, a source tracing simulation analysis is conducted on the pollution source to determine the distribution of the first pollution source; The first pollution source is the pollution source in the sudden water pollution incident in the river; The tracing simulation analysis of the pollution source includes: tracing the pollution source by calculating the pollution contribution rate; The method of conducting a source tracing simulation analysis on the pollution source based on the change trend of the river water quality to determine the distribution of the first pollution source includes the following steps: By conducting correlation analysis on the probability density of the forward concentration distribution of pollutants and the probability density of the reverse position, a sudden water pollution source tracing model is constructed; The location of the first pollution source, the pollution emission time and the pollution emission intensity of the first pollution source are obtained by solving the sudden water pollution source tracing model; After the step of solving the sudden water pollution source tracing model to obtain the location of the first pollution source, the pollution emission time and the pollution emission intensity of the first pollution source, the method further includes: Simulating the concentration field formed by the first pollution sources of several source strengths through the river network hydraulic water quality model; Generate a relationship map between pollutant concentration and source strength according to the concentration field, and visualize the relationship map; and / or based on the change trend of the water quality of the river and according to the topological structure of the pipe network, determining the distribution of the second pollution source; the second pollution source is the pollution source of the combined rainwater and sewage drainage pipe network; Performing pollution source scheduling according to the distribution of the first pollution source and / or the distribution of the second pollution source, wherein the pollution source scheduling includes pump station group scheduling and sewage treatment plant scheduling; The pump station group scheduling includes at least one of the following steps: Increase the water quality concentration index of the sewage treatment plant to maintain the balance of water volume; Increase sewage capacity during flood season and control pumping stations to discharge water at off-peak times; The sewage is transported evenly according to the water quality of the sewage received by the pump station; the even transportation includes: evenly transporting the sewage according to the water quality conditions.

2. A sewage treatment method according to claim 1, characterized in that: After obtaining the drainage facility basic data, the method further comprises the following steps: Generate a GIS map based on the basic data of drainage facilities; The changing trend of the river water quality is visualized on the GIS map.

3. A sewage treatment method according to claim 1, characterized in that: The method comprises constructing a river network hydraulic and water quality model based on the basic data of the drainage facilities, and predicting the changing trend of river water quality based on the river network hydraulic and water quality model. Includes at least one of the following steps: Gridding the river network area to be predicted in the river network hydraulic and water quality model; Generalizing the hydraulic structures and rivers in the river network hydraulic and water quality model to obtain a time series file; Introducing eddy viscosity coefficient into the river network hydraulic and water quality model; The roughness, attenuation coefficient and diffusion coefficient of the river network hydraulic and water quality model are determined.

4. A sewage treatment method according to claim 1, characterized in that: The method of determining the distribution of the second pollution source based on the change trend of the river water quality and the pipe network topology structure comprises the following steps: Construct a pipe network topology diagram based on the basic data of drainage facilities and construct a water quality fingerprint database; The candidate range of the second pollution source is determined according to the pipe network topology diagram, and the second pollution source is determined through the water quality fingerprint database.

5. A sewage treatment system, characterized in that: include: A data acquisition module is used to obtain basic data of drainage facilities; A water quality prediction module is used to construct a river network hydraulic and water quality model based on the basic data of the drainage facilities, and predict the changing trend of river water quality based on the river network hydraulic and water quality model; the river network hydraulic and water quality model is used to predict rainfall, water level, flow velocity and flow data; A pollution source tracing module is used to perform a source tracing simulation analysis on the pollution source based on the change trend of the water quality of the river channel, and determine the distribution of the first pollution source; The first pollution source is the pollution source in the sudden water pollution incident in the river; The tracing simulation analysis of the pollution source includes: tracing the pollution source by calculating the pollution contribution rate; based on the change trend of the water quality of the river, tracing the pollution source by simulation analysis, and determining the distribution of the first pollution source, which includes the following steps: constructing a sudden water pollution tracing model by performing a correlation analysis on the probability density of the forward concentration distribution of pollutants and the probability density of the reverse position; solving the sudden water pollution tracing model to obtain the location of the first pollution source, the pollution emission time of the first pollution source, and the pollution emission intensity; and / or based on the change trend of the water quality of the river and according to the topological structure of the pipe network, determining the distribution of the second pollution source; the second pollution source is the pollution source of the combined rainwater and sewage drainage pipe network; A joint scheduling module is used to schedule the pollution sources according to the distribution of the first pollution source and / or the distribution of the second pollution source, wherein the pollution source scheduling includes the scheduling of pump station groups and the scheduling of sewage treatment plants; the scheduling of the pump station groups includes at least one of the following steps: increasing the water quality concentration index of the sewage treatment plant to maintain the balance of the water volume; increasing the sewage flood season capacity to control the pump station to discharge water at off-peak times; according to the water quality of the sewage collected by the pump station, the sewage is transported in a balanced manner; the balanced transportation includes: preferentially transporting the water quality according to the water quality conditions; After the step of solving the sudden water pollution source tracing model to obtain the location of the first pollution source, the pollution emission time and the pollution emission intensity of the first pollution source, the system is further used to: Simulating the concentration field formed by the first pollution sources of several source strengths through the river network hydraulic water quality model; A relationship map between the pollutant concentration and the source strength is generated according to the concentration field, and the relationship map is visualized.

6. A sewage treatment device, characterized in that: include: at least one processor; at least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor runs a sewage treatment method as described in any one of claims 1-4.

7. A storage medium storing a program executable by a processor, characterized in that: The program executable by the processor is used to run a sewage treatment method as described in any one of claims 1 to 4 when executed by the processor.

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