Multifunctional polluted rainwater regulation and storage and recycling coordination method and system

Abstract

The invention discloses a multifunctional polluted rainwater regulation and storage and recycling coordination method and system, and relates to the technical field of rainwater regulation and storage and recycling thereof.The method comprises the steps that the first initial flow speed from an ecological purification pond to an initial rainwater regulation and storage pond and the second initial flow speed from the initial rainwater regulation and storage pond to an initial rainwater regeneration treatment system are set; constructing an initial flow velocity array; randomly disturbing the initial flow velocity array to obtain a to-be-screened flow velocity array so as to regulate and control the multifunctional regulation and storage pool; obtaining water quality influence data and system processing efficiency data of the multifunctional storage tank, and constructing a flow velocity setting evaluation model; and on the basis of a flow velocity setting evaluation model and a Cartesian three-dimensional coordinate system, constructing a flow velocity influence display model and performing data analysis to obtain a screened flow velocity array, and controlling the multifunctional regulation and storage tank. Therefore, the problems of low system processing efficiency and insufficient resource utilization are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of rainwater storage and its recycling, and more specifically, the present invention relates to a coordinated method and system for multi-functional polluted rainwater storage and recycling. Background Art

[0002] The existing polluted rainwater storage and recycling technologies mainly focus on three aspects: the design of rainwater storage ponds, pollution control, and recycling. The storage pond intercepts pollutants and regulates the rainwater flow, and combines with ecological wetland or ecological floating bed technology to play its multi-functional role; while for the regenerative treatment technology of polluted rainwater, including precipitation, filtration, biochemical treatment, and membrane treatment technologies, it can effectively remove pollutants such as particulate matter, organic matter, and heavy metals, and the treated rainwater can be widely used for non-drinking purposes such as greening irrigation, landscape water replenishment, and cleaning.

[0003] Meanwhile, intelligent and information-based means are gradually applied to the rainwater management system. By using sensors to monitor the water quality and flow of rainwater in real time, combined with prediction models and intelligent control devices, the rainwater storage and treatment processes are optimized to improve resource utilization efficiency. In addition, multi-objective optimization technology plays an important role in realizing the coordinated management of rainstorm prevention and control, pollution control, and resource utilization.

[0004] However, there is still room for improvement in the existing technology in terms of efficient treatment of initial rainwater, system intelligence, and coordination of multi-objective functions. In the future, it is necessary to further optimize the technical design to enhance the comprehensive benefits and long-term sustainability of the system.

[0005] For example, the evaluation method for the surface runoff storage capacity of green infrastructure in a basin announced in the invention patent with the publication number of CN106777618B includes standardizing the green infrastructure in the basin to obtain green infrastructure units; determining the basin flood hydrographs of slope patches of green infrastructure and bare land under storm frequencies; analyzing and establishing the flood storage capacity of the green infrastructure based on the basin flood hydrographs; analyzing and calculating the flood storage capacity and green infrastructure units to obtain the standard value of the surface runoff storage per unit area of green infrastructure, and this index can be used as an evaluation index to measure the surface runoff storage capacity of green infrastructure; this evaluation method for the surface runoff storage capacity of green infrastructure in a basin has high rationality and accuracy. At the same time, the obtaining of the standard value index of the surface runoff storage of this green infrastructure can provide a basis for the selection and layout of green infrastructure in an ecological sponge basin.

[0006] For example, the water network regulation method, device, electronic device and computer-readable medium disclosed in the invention patent announcement with the announcement number of CN117273313B include obtaining historical precipitation information, water network regulation device distribution information and topographic and geomorphic information corresponding to the target area; generating a hydrological and hydrodynamic model for the target area according to the historical precipitation information, water network regulation device distribution information and topographic and geomorphic information; performing three-dimensional area simulation on the target area to generate a three-dimensional simulation map for the target area; determining a local precipitation area in the three-dimensional simulation map according to the predicted precipitation information; generating water network regulation strategy information according to the predicted precipitation information, local precipitation area and hydrological and hydrodynamic model; and controlling the water network regulation device in the local precipitation area to perform water level regulation according to the water network regulation strategy information. This implementation method improves the drainage efficiency and reduces waterlogging.

[0007] In the above-disclosed technical solution, there are at least the following technical problems: In the multi-functional polluted rainwater regulation and recycling system, although the water quality and water volume management are optimized by adjusting the flow rate, water stop time and water storage time, most rely on the traditional valve control system, which has certain deficiencies. Specifically, for the valve control between the ecological purification pool and the initial rainwater regulation pool, and between the initial rainwater regulation pool and the initial rainwater regeneration treatment system, the water flow rate is usually set by manual or simple automatic adjustment methods. This method cannot respond in real time to complex rainfall patterns, water quality changes and water level fluctuations in the pool, resulting in inaccurate adjustment of the flow rate, thereby affecting the purification efficiency and water volume management of the system.

[0008] When the flow rate is too high, pollutants may not settle effectively, affecting the water quality of the downstream pool; while too low a flow rate may result in insufficient purification of the water quality and failure to meet the reclaimed water utilization standard; The lack of standardization and dynamic coordination in the flow rate setting at the two connection points between the ecological purification pool, the initial rainwater regulation pool and the initial rainwater regeneration treatment system leads to low system processing efficiency and insufficient resource utilization; In addition, since the initial rainwater regulation system occupies a large area, its water surface part provides good conditions for the layout of the photovoltaic system, while the existing initial rainwater regulation and recycling system mostly uses commercial power, resulting in waste of the upper space of the rainwater regulation pool.

[0009] In view of the above problems, the present invention proposes a solution. Summary of the Invention

[0010] In order to overcome the above defects of the prior art, the embodiments of the present invention provide a method and a system, which analyze the flow rate of the multi-functional regulation pool to solve the problem that the lack of standardization and dynamic coordination in the flow rate setting at the two connection points between the ecological purification pool, the initial rainwater regulation pool and the initial rainwater regeneration treatment system leads to low system processing efficiency and insufficient resource utilization.

[0011] According to one aspect of the present disclosure, a coordinated method for multi-functional polluted rainwater storage and reclamation utilization is provided, including: setting a first initial flow rate from the ecological purification tank to the initial rainwater storage tank and a second initial flow rate from the initial rainwater storage tank to the initial rainwater reclamation treatment system, and constructing an initial flow rate array; based on a preset flow rate constraint condition, performing random perturbation on the initial flow rate array to obtain a flow rate array to be screened, so as to regulate the multi-functional storage tank; obtaining water quality impact data and system treatment efficiency data of the multi-functional storage tank, and constructing a flow rate setting evaluation model based on a long short-term neural network; based on the flow rate setting evaluation model and a Cartesian three-dimensional coordinate system, constructing a flow rate impact display model and performing data analysis to obtain a screened flow rate array, and controlling the multi-functional storage tank.

[0012] According to some embodiments of the present disclosure, the setting of the first initial flow rate from the ecological purification tank to the initial rainwater storage tank and the second initial flow rate from the initial rainwater storage tank to the initial rainwater reclamation treatment system is specifically: taking the storage upper limit of the largest initial rainwater storage tank as a constraint condition, and calculating and setting the first initial flow rate from the ecological purification tank to the initial rainwater storage tank with the maximum treatment capacity of the ecological purification tank as the target; based on the treatment flow upper limit of the initial rainwater reclamation treatment system and the current reclaimed water demand, taking the minimum hydraulic retention time for the target water quality to reach the standard as a constraint condition, and calculating and setting the second initial flow rate from the initial rainwater storage tank to the initial rainwater reclamation treatment system with meeting the minimum water quality target as the target.

[0013] According to some embodiments of the present disclosure, the performing random perturbation on the initial flow rate array based on a preset flow rate constraint condition to obtain a flow rate array to be screened for regulating the multi-functional storage tank is specifically: adding a random perturbation term generated based on a normal distribution to each initial flow rate array; performing multiple perturbations on the initial flow rate array, generating a flow rate array each time a perturbation is performed, repeating multiple times, and obtaining several groups of flow rate arrays to be screened.

[0014] According to some embodiments of the present disclosure, the water quality impact data includes water quality purification impact characteristics and water storage and flood control effect impact characteristics; the specific method for obtaining the water quality purification impact characteristics is as follows: based on the water quality target types of water quality purification under different historical flow rates, obtaining a set of water quality targets for water quality purification under different flow rates; assigning a preset pollution weight to various water quality target types in the set of water quality targets for water quality purification under different flow rates; constructing a regression model based on the set of water quality targets for water quality purification under different flow rates and the corresponding pollution weights, and generating water quality purification impact characteristics.

[0015] According to some embodiments of the present disclosure, the specific method for obtaining the characteristics affecting the water storage and flood control effect is as follows: Obtain the rainfall intensity level and the pool volume level of the storage and regulation pool to obtain the initial water storage and flood control value; analyze the hydraulic characteristics of the stormwater pipe network based on a hydrological and hydraulic simulation software to obtain the flow velocity and the preset maximum water storage capacity, and calculate the water storage impact item; analyze the similarity of the flow direction and the water flow path angle of the river system to calculate the water flow direction impact factor; combine the water flow direction impact factor and the water storage impact item to correct the initial water storage and flood control value to obtain the characteristics affecting the water storage and flood control effect.

[0016] According to some embodiments of the present disclosure, the system processing efficiency data includes the characteristics affecting the processing efficiency; the specific method for obtaining the characteristics affecting the processing efficiency is as follows: Obtain several overall sewage treatment rates during the purification of the multi-functional storage and regulation pool; during the purification of the multi-functional storage and regulation pool, obtain the efficiency standard deviation and the efficiency average value of the overall sewage treatment rate at the same time interval; calculate the coefficient of variation of the overall sewage treatment rate according to the efficiency standard deviation and the efficiency average value; calculate the characteristics affecting the processing efficiency by using the coefficient of variation of the overall sewage treatment rate based on a preset calculation formula for the characteristics affecting the processing efficiency.

[0017] According to some embodiments of the present disclosure, based on the flow velocity, set an evaluation model and a Cartesian three-dimensional coordinate system to construct a flow velocity impact display model, specifically: in the Cartesian coordinate system, set three axes to represent the first flow velocity, the second flow velocity, and the output of the corresponding flow velocity setting evaluation model respectively; map each group of flow velocity arrays and the output of the corresponding flow velocity setting evaluation model to the three-dimensional coordinate system, and process the model with a smooth curve to obtain the flow velocity impact display model.

[0018] According to some embodiments of the present disclosure, perform data analysis to obtain a filtered flow velocity array and control the multi-functional storage and regulation pool, specifically: obtain several peaks of the flow velocity impact display model, and screen out several peaks with the smallest differential value. By default, select the flow velocity combination with the smallest second flow velocity as the filtered flow velocity array and apply it to the multi-functional storage and regulation pool.

[0019] According to a second aspect of the present disclosure, there is provided a multifunctional polluted rainwater storage and recycling coordination system, including an initial flow rate setting module, a flow rate to be screened acquisition module, a data analysis module, and a flow rate selection module; the initial flow rate setting module is used to set a first initial flow rate from the ecological purification pond to the initial rainwater storage pond and a second initial flow rate from the initial rainwater storage pond to the initial rainwater regeneration treatment system, and construct an initial flow rate array; the flow rate to be screened acquisition module is used to randomly perturb the initial flow rate array based on a preset flow rate constraint condition to obtain a flow rate array to be screened, so as to regulate the multifunctional storage pond; the data analysis module is used to obtain water quality impact data and system processing efficiency data of the multifunctional storage pond, and construct a flow rate setting evaluation model based on a long short-term neural network; the flow rate selection module is used to construct a flow rate impact display model based on the flow rate setting evaluation model and a Cartesian three-dimensional coordinate system and perform data analysis to obtain a screened flow rate array, and control the multifunctional storage pond.

[0020] Technical effects and advantages of the multifunctional polluted rainwater storage and recycling coordination method and system of the present invention: 1. By precisely calculating and optimizing the flow rate setting, the present invention solves the problem of lack of standardization and dynamic coordination in flow rate regulation among the ecological purification pond, the initial rainwater storage pond, and the initial rainwater regeneration treatment system, thereby significantly improving the system's processing efficiency and resource utilization rate. First, by combining historical meteorological observation data and demand data, the initial flow rates between the rainwater storage pond and the initial rainwater storage pond, and between the initial rainwater storage pond and the initial rainwater regeneration treatment system are precisely calculated to ensure the scientificity and rationality of water quality and water volume regulation. Then, by randomly perturbing the initial flow rate, multiple groups of flow rate arrays to be screened are generated, and the specific impacts of flow rate changes on water quality, water storage capacity, and system efficiency are evaluated through water quality purification impact characteristics, water storage and flood control effect characteristics, and treatment efficiency impact characteristics. Through this method, the flow rate can be accurately adjusted, the water volume distribution and pollutant removal efficiency among each pond can be optimized, and system overload or poor treatment effects caused by too fast or too slow flow rates can be avoided, thereby effectively improving the overall system's operation efficiency, stability, and energy efficiency. This technology realizes dynamic adjustment of the flow rate to cope with different rainfall scenarios, especially under extreme climate conditions, ensuring the efficient operation and flood control ability of the storage pond system, and having significant practical application value and environmental benefits.

[0021] 2. The present invention combines water quality impact data and system processing efficiency data, constructs a flow rate setting evaluation model based on long short-term neural network, and can accurately evaluate the flow rate and optimize the system operation. By integrating multiple impact characteristics such as water quality purification, water storage and flood control, and processing efficiency, flow rate setting evaluation characteristics are generated, and then the flow rate impact is displayed in a Cartesian three-dimensional coordinate system, and the optimal flow rate combination is selected and applied to the multi-functional storage pond. The advantage of this technology is that it can achieve precise optimization of the flow rate through intelligent data analysis, improve the water quality purification and flood control effects, and the screening conditions are flexibly adjustable to adapt to different demand scenarios, ensuring the high efficiency and sustainability of the system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a schematic flow chart of the multi-functional polluted rainwater storage and regeneration utilization coordination method of the present invention; Figure 2 is a schematic structural diagram of the multi-functional polluted rainwater storage and regeneration utilization coordination system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0024] Embodiment 1, Figure 1 A multi-functional polluted rainwater storage and regeneration utilization coordination method of the present invention is given, including the following steps: S1. Obtain the water level data of the multi-functional rainwater storage pond partition, and combine the historical meteorological observation data and demand data to perform data analysis, calculate the first initial flow rate from the ecological purification pond to the initial rainwater storage pond and the second initial flow rate from the initial rainwater storage pond to the initial rainwater regeneration treatment system, and construct an initial flow rate array.

[0025] The combination of historical meteorological observation data and demand data for data analysis, calculation of the first initial flow rate from the ecological purification pond to the initial rainwater storage pond and the second initial flow rate from the initial rainwater storage pond to the initial rainwater regeneration treatment system is specifically as follows: Calculate the collection speed and total water volume of the initial rainwater under different rainfall intensities according to the historical meteorological observation data; The demand data includes the time series data of the demand for reclaimed water utilization and the water quality target setting; Based on the continuity equation, real-time calculation is carried out by combining the convergence velocity and the real-time water level of the initial rainwater storage tank. Taking the storage upper limit of the maximum initial rainwater storage tank as a constraint condition, and aiming at the maximum treatment capacity of the ecological purification tank, the first initial flow velocity from the ecological purification tank to the initial rainwater storage tank is calculated and set. Based on the treatment flow upper limit of the initial rainwater regeneration treatment system and the current reclaimed water demand, taking the minimum hydraulic retention time when the target water quality reaches the standard as a constraint condition, and aiming at meeting the minimum water quality target, the second initial flow velocity from the initial rainwater storage tank to the initial rainwater regeneration treatment system is calculated and set.

[0026] It should be noted that the time series data of the reclaimed water utilization demand includes daily demand fluctuations and peak demand periods. The water quality target setting includes the concentrations of water quality targets such as SS, COD, NH 3 -N, TP, etc.

[0027] It should be noted that the initial rainwater regeneration treatment system includes different pools, as well as water treatment materials and equipment. The second initial flow velocity from the initial rainwater storage tank to the initial rainwater regeneration treatment system in this application refers to the influent flow velocity of the initial rainwater regeneration treatment system.

[0028] The above methods and models rely on existing hydrological simulation, real-time water level monitoring technologies, and water treatment optimization models, all of which are mature technical bases. The specific calculation tools and implementation processes can select corresponding software or algorithm modules for invocation according to actual needs, which will not be elaborated here.

[0029] S2. Combining the preset flow velocity constraint conditions, random perturbations are performed on the first initial flow velocity and the second initial flow velocity to obtain several groups of different flow velocity arrays to be screened.

[0030] The combination of the preset flow velocity constraint conditions, random perturbations are performed on the first initial flow velocity and the second initial flow velocity to obtain several groups of different flow velocity arrays to be screened, specifically: The flow velocity constraint conditions include the storage upper limit of the initial rainwater storage tank, the water quality and quantity treatment requirements of the initial rainwater regeneration treatment system, and the valve opening and closing speed range; A random perturbation term generated based on the normal distribution is added to each initial flow velocity; Multiple perturbations are performed on the first initial flow velocity and the second initial flow velocity. Each perturbation generates a flow velocity array, and this is repeated multiple times to obtain several groups of different flow velocity arrays to be screened; The storage upper limit of the initial rainwater storage tank includes the maximum flow rate and the maximum retention water volume; the water quality and quantity treatment requirements of the initial rainwater regeneration treatment system include the removal rates and concentration limits of various types of pollutants in the water quality target, the treatment flow upper limit, and the minimum hydraulic retention time.

[0031] It should be noted that in the above steps, the flow rate constraint conditions, such as the storage upper limit of the initial rainwater storage tank (including the maximum flow rate and the retained water volume) and the water quality and quantity treatment requirements of the initial rainwater regeneration treatment system (including the treatment rate, the upper limit of the treatment flow rate, and the minimum hydraulic retention time), are all quantified based on existing hydraulic and water quality treatment technologies. These parameters are usually obtained through tank design, laboratory analysis, and on-site monitoring data. Random perturbations are generated using a normal distribution generator, and different flow rate combinations are simulated through multiple perturbations to optimize the flow rate setting. These calculation methods have been maturely applied in water treatment and optimization algorithms, and will not be elaborated in this application.

[0032] S3. Apply the array of flow rates to be screened to the multi-functional storage tank respectively, and obtain the water quality impact data and the system treatment efficiency data.

[0033] The water quality impact data includes the impact characteristics of water quality purification and the impact characteristics of water storage and flood control effects; the system treatment efficiency data includes the impact characteristics of treatment efficiency.

[0034] The impact characteristics of water quality purification are used to evaluate the impact of the flow rate on the water quality purification effect. The change in the flow rate directly affects the removal efficiency of pollutants, especially the flow rate from the ecological purification tank to the initial rainwater storage tank; when the flow rate is too fast, suspended solids and particulate matters may not settle sufficiently and directly enter the initial rainwater storage tank, increasing its treatment burden; while when the flow rate is too slow, the excessive water retention time of the water body may lead to anaerobic conditions and cause secondary pollution. The flow rate between the initial rainwater storage tank and the initial rainwater regeneration treatment system also affects the pollutant removal efficiency. When the flow rate is too fast, pollutants cannot be effectively treated, and the quality of the reclaimed water cannot be guaranteed. When the flow rate is too slow, it leads to anaerobic conditions in the pollution treatment system, the water quality does not meet the standards, or the quantity of reclaimed water is difficult to meet the demand. This characteristic quantifies the purification effect of the flow rate on the water quality by measuring indicators such as the turbidity, chemical oxygen demand (COD), total phosphorus (TP), and total nitrogen (TN) of the effluent, and helps to evaluate the comprehensive performance of the ecological purification tank and the initial rainwater regeneration treatment system under different flow rates.

[0035] Analyzing the impact characteristics of water quality purification has the following advantages for evaluating the comprehensive effect of the multi-functional storage tank under different arrays of flow rates to be screened, thus solving the problem of the lack of standardization and dynamic coordination in the flow rate setting at the two connection points between the ecological purification tank, the initial rainwater storage tank, and the initial rainwater regeneration treatment system, resulting in low system treatment efficiency and insufficient resource utilization: Quantify the relationship between water quality improvement and the flow rate: The impact characteristics of water quality purification can accurately quantify the direct impact of the flow rate change on the water quality purification process. It makes the relationship between the speed of the flow rate and the pollutant removal efficiency controllable and predictable, thus avoiding the over-treatment or under-treatment situations that may occur in traditional empirical regulation.

[0036] Optimizing the selectivity of pollutant removal: By using the water quality purification impact characteristics, different types of pollutants (such as suspended solids, chemical oxygen demand (COD), total phosphorus (TP), total nitrogen (TN), etc.) can be independently evaluated, and then the flow rate setting can be optimized. The appropriate adjustment of the flow rate can preferentially treat specific pollutants, ensure the maximization of the removal efficiency of different pollutants, and reduce the occurrence of secondary pollution.

[0037] Improving the distribution of the water quality treatment burden: The water quality purification impact characteristics can help identify the treatment burden of the initial rainwater storage and reuse system at different flow rates, so as to reasonably distribute the treatment pressure among the ecological purification pond, the initial rainwater storage pond, and the initial rainwater regeneration treatment system. Avoid excessive flow rates causing an overburden on the ecological purification pond or the initial rainwater regeneration treatment system, or too slow flow rates causing the water body to stay too long, leading to anaerobic conditions, resulting in secondary pollution, unqualified water quality, or the difficulty of meeting the demand for reclaimed water volume. By optimizing the flow rate setting, a more balanced distribution of the treatment load can be achieved.

[0038] Improving the energy efficiency of the system: When evaluating the impact of the flow rate on water quality, the water quality purification impact characteristics can effectively combine the treatment flow rate and energy efficiency to further optimize the flow rate setting. A more reasonable flow rate can not only improve the water quality purification efficiency but also reduce energy consumption, making the treatment process more energy-saving and efficient.

[0039] Enhancing the real-time adjustment ability: The water quality purification impact characteristics can provide a scientific basis for real-time dynamic adjustment of the flow rate. When the water quality fluctuates or the water level changes during actual operation, this characteristic helps to quickly evaluate the impact of the flow rate change on water quality, enabling the system to be flexibly adjusted to ensure that the water quality always remains within the predetermined standard range, thus improving the response speed and reliability of the system.

[0040] The specific method for obtaining the water quality purification impact characteristics is as follows: Based on the water quality target types of water quality purification under different historical flow rate conditions, obtain the set of water quality targets for water quality purification under different flow rate conditions. The set of water quality targets for water quality purification under different flow rate conditions includes various water quality target types of water quality purification and the pollutant removal rates of each water quality target type under different flow rate conditions. Assign preset pollution weights to various water quality target types within the set of water quality targets for water quality purification under different flow rate conditions. Based on the set of water quality targets for water quality purification under different flow rate conditions and the corresponding pollution weights, construct a regression model to generate the water quality purification impact characteristics.

[0041] The specific calculation formula of the water quality purification impact characteristics is as follows:

[0042] In the formula, α is the water quality purification impact characteristic, μ1 ……μ n The preset pollution weight corresponding to the water quality target for water quality purification under different flow velocity conditions, ω 1 ……ω n The pollutant removal rate for each type of water quality target, YC n The proportion of the types of water quality targets for water quality purification under different flow velocity conditions, n is the number of water quality targets for water quality purification under different flow velocity conditions, and e is the natural constant.

[0043] The characteristics affecting the water storage and flood control effect are used to evaluate the impact of flow velocity changes on the water storage capacity and flood control effect of the initial rainwater storage tank system. Through this characteristic, the impact of the speed of the flow velocity on the water volume distribution among the three tanks can be quantified, and then the effects of different flow velocity settings on the remaining capacity and overflow rate of the storage tank can be evaluated. Excessively fast flow velocity may cause water to overflow in a certain tank while the capacities of other tanks are not fully utilized, reducing the overall water storage capacity of the system; while too slow flow velocity may cause water to accumulate upstream in the tank during heavy rainfall, resulting in overflow. The application of this characteristic helps to optimize the flow velocity setting, ensuring that during rainfall events, the system can more efficiently conduct water volume scheduling, reduce the overflow risk, and maximize the water storage and flood control capacity of the system.

[0044] Analyzing the characteristics affecting the water storage and flood control effect has the following advantages for evaluating the comprehensive effect of the multi-functional storage tank under different arrays of flow velocities to be screened, thereby solving the problem of the lack of standardization and dynamic coordination in the flow velocity setting at the two connection points between the ecological purification tank, the initial rainwater storage tank, and the initial rainwater regeneration treatment system, resulting in low system treatment efficiency and insufficient resource utilization: Reducing the occurrence of overflow events: The characteristics affecting the water storage and flood control effect can help precisely control the flow velocity, enabling the water storage capacities of the ecological purification tank and the initial rainwater storage tank to match the demand during heavy rainfall. For example, by appropriately adjusting the flow velocity between the initial rainwater storage tank and the initial rainwater regeneration treatment system, the occurrence of overflow caused by too high a water level in the initial rainwater storage tank is avoided, enhancing the flood resistance ability of the system under extreme climate conditions.

[0045] Dynamically adjusting the flow velocity to optimize the response: This characteristic can quantitatively evaluate the effect of flow velocity changes and the response of the storage tank system, enabling the system to adjust the flow velocity in real time to avoid water accumulation in the ecological purification tank or the initial rainwater storage tank due to too slow a flow velocity, or the downstream tank not fully functioning due to too fast a flow velocity, ensuring that the capacities of the ecological purification tank or the initial rainwater storage tank can effectively participate in water storage and flood control, and avoiding the inefficiency caused by static settings.

[0046] Improve system processing efficiency: By reasonably setting the flow rate, the dynamic balance of water flow among various pool bodies can be ensured, thus optimizing the treatment process. For example, appropriate flow rate setting enables the ecological purification pool or the initial rainwater storage and regulation pool to fully play their treatment and storage roles, and the reclaimed water system to fully exert its rainwater purification capacity, avoiding treatment lag or system overload caused by excessive water volume, thereby improving the overall system treatment efficiency and efficiency speed.

[0047] These advantages make the impact characteristics of water storage and flood control effects have important practical application value in the process of flow rate optimization. Especially when dealing with extreme rainfall events, it can ensure the maximization of the efficiency of the storage and regulation pool, avoiding waste of resources and imbalance of treatment capacity.

[0048] The specific method for obtaining the impact characteristics of water storage and flood control effects is as follows: Obtain the rainfall intensity level and the pool volume levels of the ecological purification pool and the initial rainwater storage and regulation pool to obtain the initial water storage and flood control value; Analyze the hydraulic characteristics of the rainwater pipe network based on hydrological and hydraulic simulation software, obtain the flow rate and the preset maximum water storage capacity, and calculate the water storage impact item; Calculate the water flow direction impact factor based on the similarity analysis of the flow direction and water flow path angle of the river system; Combine the water storage impact item to correct the initial water storage and flood control value, and calculate the impact characteristics of water storage and flood control effects.

[0049] The specific calculation formula of the water storage impact item W i is as follows:

[0050] The specific calculation formula of the water flow direction impact factor D i is as follows:

[0051] The specific calculation formula of the impact characteristics of water storage and flood control effects is as follows:

[0052] In the formula, β is the impact characteristics of water storage and flood control effects, is the initial water storage and flood control value, is the current water storage volume, is the allowable maximum water storage volume, is the river path angle, is the water flow path angle into the pool, is the water storage impact item, is the water flow direction impact factor.

[0053] The treatment efficiency impact feature is used to quantify the impact of flow velocity on the response speed and operation efficiency of the multi-functional storage pond system. The setting of the flow velocity directly determines the treatment time and response ability of the system. When the flow velocity is too fast, it may cause the pond body to be overloaded or the treatment time to be too short, thereby affecting the treatment effect; while too slow flow velocity may lead to a lag in system response and an inability to respond to rainfall changes in a timely manner. This feature helps optimize the flow velocity setting by evaluating the system response time and treatment time, so as to ensure that the system can respond quickly while treating rainfall water volume, and at the same time ensure efficient water quality purification and water storage capacity, thereby improving the overall operation efficiency.

[0054] Analyzing the treatment efficiency impact feature has the following advantages for evaluating the comprehensive effect of the multi-functional storage pond under different arrays of flow velocities to be screened, so as to solve the problem of lack of standardization and dynamic coordination in the flow velocity setting at the two connection points between the ecological purification pond, the initial rainwater storage pond and the initial rainwater regeneration treatment system, resulting in low system treatment efficiency and insufficient resource utilization: Improve system stability: The treatment efficiency impact feature helps to quantify the impact of flow velocity setting on the treatment stability of the system. By evaluating the impact of flow velocity setting on the efficiency time and water flow stability during the treatment process, it is possible to avoid the system being overloaded due to too fast flow velocity or the lag phenomenon caused by too slow flow velocity, thereby improving the stability of the system under different rainfall events.

[0055] Optimize the treatment time: Through the quantitative analysis of the relationship between flow velocity setting and treatment efficiency, the treatment efficiency impact feature can accurately evaluate the total treatment time from the initial rainwater entering the initial rainwater regeneration treatment system. The optimized flow velocity setting can shorten the treatment time, improve the system response speed, ensure the timely treatment of more water volume, and improve the treatment efficiency.

[0056] Reduce the risk of system overload: During complex rainfall processes, too fast a first flow velocity may cause the storage pond to be overloaded, and too slow a first flow velocity may cause anaerobic conditions in the ecological purification pond, resulting in secondary pollution. Too fast a second flow velocity may cause the initial rainwater regeneration treatment system to be overloaded, resulting in unqualified water quality, and too slow a second flow velocity may cause the initial rainwater regeneration treatment system to be difficult to operate stably, with a decline in treatment efficiency, and even anaerobic conditions resulting in secondary pollution. The treatment efficiency impact feature can be adjusted in a timely manner when the first flow velocity is too fast through the accurate evaluation of flow velocity changes, avoiding system overload, and at the same time adjusting the flow rate when the flow velocity is too slow to prevent secondary pollution or decline in treatment effect caused by excessive water retention time.

[0057] Precise dynamic adjustment of flow velocity: Through the dynamic evaluation of the treatment efficiency impact feature, the flow velocity can be adjusted in real time according to the actual rainfall situation, avoiding the system response lag caused by improper flow velocity setting, and ensuring that the system can be fast and efficient in emergencies such as heavy rainfall, improving the treatment speed and efficiency.

[0058] The specific method for obtaining the processing efficiency influence characteristics is as follows: Obtain several overall rainwater treatment rates during the purification of the multi-functional rainwater storage and recycling system; The efficiency standard deviation and efficiency average value of the overall rainwater treatment rate at the same time interval during the purification of the multi-functional rainwater storage and recycling system; Calculate the coefficient of variation of the overall rainwater treatment rate based on the efficiency standard deviation and efficiency average value; Calculate the processing efficiency influence characteristics by calculating the coefficient of variation of the overall rainwater treatment rate based on the preset calculation formula for the processing efficiency influence characteristics.

[0059] The specific calculation formula for the coefficient of variation of the overall sewage treatment rate is as follows:

[0060] The specific calculation formula for the processing efficiency influence characteristics is as follows:

[0061] In the formula, η is the coefficient of variation of the overall sewage treatment rate, w1 j is the overall sewage treatment rate at the j-th moment, N is the total number of moments collected during the purification of the multi-functional storage tank, and j is the moment label; χ is the processing efficiency influence characteristic; Among them, is the efficiency standard deviation, is the efficiency average value.

[0062] This application solves the problem of lack of standardization and dynamic coordination in flow velocity regulation between the ecological purification tank and the initial rainwater storage tank, and between the initial rainwater storage tank and the initial rainwater regeneration treatment system through precise calculation and optimized flow velocity setting, thereby significantly improving the processing efficiency and resource utilization rate of the system. First, by combining historical meteorological observation data and demand data, accurately calculate the initial flow velocity between the ecological purification tank and the initial rainwater storage tank, and between the initial rainwater storage tank and the initial rainwater regeneration treatment system to ensure the scientificity and rationality of water quality and water volume regulation. Then, by randomly disturbing the initial flow velocity, generate multiple groups of flow velocity arrays to be screened, and evaluate them through the water quality purification influence characteristics, water storage and flood control effect influence characteristics, and processing efficiency influence characteristics, so as to quantify the specific impact of flow velocity changes on water quality, water storage capacity and system efficiency. Through this method, the flow velocity can be accurately adjusted, the water volume distribution and pollutant removal efficiency between each pool can be optimized, and system overload or poor treatment effect caused by too fast or too slow flow velocity can be avoided, thereby effectively improving the operation efficiency, stability and energy efficiency of the overall system. This technology realizes dynamic adjustment of the flow velocity to cope with different rainfall scenarios, especially under extreme climate conditions, ensuring the efficient operation and flood control ability of the multi-functional rainwater storage and recycling system, and has significant practical application value and environmental benefits.

[0063] Example 2, S4. Based on the water quality impact data and the system processing efficiency data, a flow rate setting evaluation model is constructed through training based on a long short-term neural network.

[0064] The construction of the flow rate setting evaluation model based on the water quality impact data and the system processing efficiency data through a long short-term neural network is specifically as follows: Construct a flow rate setting evaluation model with the obtained water quality purification impact characteristics, water storage and flood control effect impact characteristics, and processing efficiency impact characteristics, and output the flow rate setting evaluation characteristics. The specific calculation formula of the flow rate setting evaluation characteristics is as follows:

[0065] In the formula, LS is the flow rate setting evaluation characteristic, and δ 1 is the preset proportionality coefficient of the trained water quality purification impact characteristic, is the preset proportionality coefficient of the trained water storage and flood control effect impact characteristic, is the preset proportionality coefficient of the trained processing efficiency impact characteristic, α is the water quality purification impact characteristic, β is the water storage and flood control effect impact characteristic, and χ is the processing efficiency impact characteristic.

[0066] S5. Based on the output of the flow rate setting evaluation model and the corresponding array of flow rates to be screened, a flow rate impact display model is constructed based on the Cartesian three-dimensional coordinate system, and data analysis is performed on the flow rate impact display model to obtain the screened array of flow rates and apply it to the multifunctional rainwater storage and reuse system.

[0067] The construction of the flow rate impact display model based on the output of the flow rate setting evaluation model and the corresponding array of flow rates to be screened based on the Cartesian three-dimensional coordinate system is specifically as follows: In the Cartesian coordinate system, set three axes to represent the first flow rate, the second flow rate, and the output of the corresponding flow rate setting evaluation model respectively; Map each group of flow rate arrays and the corresponding output of the flow rate setting evaluation model to the three-dimensional coordinate system, and process the model with a smooth curve to obtain the flow rate impact display model.

[0068] The data analysis of the flow rate impact display model to obtain the screened array of flow rates is specifically as follows: Obtain several peaks of the flow rate impact display model, screen out several peaks with the smallest differential values, and by default, select the flow rate combination with the smallest second flow rate as the screened array of flow rates and apply it to the multifunctional storage tank.

[0069] It should be noted that the screening conditions can be changed according to the changing needs. For example, by default, it is the case with the best purification effect. If a large amount of reclaimed water needs to be utilized, the flow rate combination with the largest second flow rate is used as the screened flow rate array.

[0070] In this embodiment, by combining water quality impact data and system processing efficiency data, a flow rate setting evaluation model is constructed based on a long short-term neural network, which can accurately evaluate the flow rate and optimize the system operation. By integrating multiple impact characteristics such as water quality purification, water storage and flood control, and processing efficiency, flow rate setting evaluation characteristics are generated, and then the flow rate impact is displayed in a Cartesian three-dimensional coordinate system to screen out the optimal flow rate combination for application to the multi-functional regulation pool. The advantage of this technology is that it can achieve precise optimization of the flow rate through intelligent data analysis, improve the water quality purification and flood control effects, and the screening conditions are flexibly adjustable to adapt to different demand scenarios, ensuring the high efficiency and sustainability of the system operation.

[0071] The sewage treatment system of the present invention further includes an integrated photovoltaic power generation module, which is arranged above the initial rainwater regulation pool and is used to provide the electric energy required for the system operation. The photovoltaic power generation module includes photovoltaic components, a support structure, a grid-connected inverter, and an energy management unit. Among them, the photovoltaic components are erected above the regulation pool through the support structure without affecting rainwater collection and water body flow. The grid-connected inverter is used to convert the direct current generated by the photovoltaic components into alternating current and preferentially supply various electrical equipment of the sewage treatment system, such as water pumps, aeration devices, filtration units, and monitoring systems, reducing the dependence on the municipal power supply.

[0072] In addition, the present invention further includes an intelligent energy scheduling unit, which is used to perform real-time matching of photovoltaic power generation and the system's electricity demand, and adjust the power supply strategy in combination with the energy storage system. When the light is sufficient, the excess electric energy can be stored in the energy storage unit or fed back to the power grid. When the light is insufficient, the system can automatically switch to the municipal power supply to ensure the stable operation of the sewage treatment system. At the same time, the setting of the photovoltaic components can reduce the water surface evaporation and reduce the water body temperature fluctuation, which helps to improve the utilization efficiency of rainwater resources.

[0073] Through the deep integration of photovoltaic power generation and the sewage treatment system, the present invention optimizes the utilization of the space above the rainwater regulation pool, improves the system's energy self-sufficiency rate, reduces the long-term operation cost, and achieves the effect of energy conservation and emission reduction.

[0074] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain a formula that is closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0075] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0076] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0077] In addition, the functional modules in the various embodiments of the present application can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0078] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all such changes or substitutions should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0079] Finally: The above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A multifunctional polluted rainwater storage and recycling coordination method, characterized in that: The steps include: Set a first initial flow rate from the ecological purification pool to the initial rainwater storage pool and a second initial flow rate from the initial rainwater storage pool to the initial rainwater regeneration treatment system, and construct an initial flow rate array; Based on the preset flow rate constraint conditions, the initial flow rate array is randomly disturbed to obtain the flow rate array to be screened, so as to regulate the multifunctional storage tank; Obtain water quality impact data and system processing efficiency data of the multifunctional regulating reservoir, and build a flow rate setting evaluation model based on long-term and short-term neural networks; Based on the flow rate setting evaluation model and Cartesian three-dimensional coordinate system, a flow rate impact display model is constructed and data analysis is performed to obtain the screened flow rate array and control the multi-functional regulating storage tank.

2. The multifunctional polluted rainwater storage and recycling coordination method according to claim 1 is characterized in that: The first initial flow rate from the ecological purification pool to the initial rainwater storage pool and the second initial flow rate from the initial rainwater storage pool to the initial rainwater regeneration treatment system are specifically set as follows: Taking the storage upper limit of the maximum initial rainwater storage tank as a constraint condition and the maximum processing capacity of the ecological purification tank as the target, the first initial flow rate from the ecological purification tank to the initial rainwater storage tank is calculated and set; Based on the upper limit of the treatment flow of the initial rainwater regeneration treatment system and the current demand for recycled water, the minimum hydraulic retention time for the target water quality to meet the standard is taken as a constraint condition, and meeting the minimum water quality target is taken as the goal. The second initial flow rate from the initial rainwater storage tank to the initial rainwater regeneration treatment system is calculated and set.

3. The multifunctional polluted rainwater storage and recycling coordination method according to claim 2 is characterized in that: The initial flow velocity array is randomly disturbed to obtain the flow velocity array to be screened, specifically: Based on the random disturbance terms generated by normal distribution, the initial flow velocity array is disturbed multiple times, and each disturbance generates a flow velocity array. This is repeated multiple times to obtain several groups of flow velocity arrays to be screened.

4. The multifunctional polluted rainwater storage and recycling coordination method according to claim 3 is characterized in that: The water quality impact data includes water quality purification impact characteristics, and the specific method for obtaining the water quality purification impact characteristics is as follows: Obtain a water quality target set for water purification under different flow rate conditions, and assign preset pollution weights to various water quality target types in the water quality target set; A regression model is constructed based on the water quality target set and pollution weights to generate water purification impact characteristics.

5. The multifunctional polluted rainwater storage and recycling coordination method according to claim 4 is characterized in that: The water quality impact data includes water storage flood control effect impact characteristics, and the specific method for obtaining the water storage flood control effect impact characteristics is as follows: Analyze the hydraulic characteristics of stormwater pipes and canals based on hydrological and hydraulic simulation software, obtain flow rate and preset maximum water storage capacity, and calculate water storage impact items; Analyze the flow direction and angle of the water flow path of the river system and calculate the factors affecting the water flow direction; The initial water storage flood control value is corrected by combining the influencing factors of water flow direction and water storage influencing items to obtain the influencing characteristics of water storage flood control effects.

6. The multifunctional polluted rainwater storage and recycling coordination method according to claim 5 is characterized in that: The system processing efficiency data includes processing efficiency influencing features, and the specific method for obtaining the processing efficiency influencing features is as follows: Obtain several overall sewage treatment rates during purification in the multifunctional regulating and storage tank, and calculate the efficiency standard deviation and efficiency average of the overall sewage treatment rate at the same time interval; Calculate the coefficient of variation of the overall sewage treatment rate based on the efficiency standard deviation and the efficiency mean; Based on the coefficient of variation of the overall sewage treatment rate, the characteristics affecting the treatment efficiency are calculated.

7. The multifunctional polluted rainwater storage and recycling coordination method according to claim 6 is characterized in that: The flow rate setting evaluation model and the Cartesian three-dimensional coordinate system are used to construct a flow rate impact display model, specifically: Based on a Cartesian coordinate system, the first flow rate, the second flow rate, and the output of the corresponding flow rate setting evaluation model are used as coordinate axes; The output of each flow velocity array and the corresponding flow velocity setting evaluation model is mapped into a three-dimensional coordinate system, and the model is processed with a smooth curve to obtain a flow velocity impact display model.

8. The multifunctional polluted rainwater storage and recycling coordination method according to claim 7 is characterized in that: The data analysis is performed to obtain the filtered flow rate array and control the multifunctional storage tank, specifically: Obtain several peaks of the flow velocity impact display model, and select several peaks with the smallest differential values; The flow rate combination with the second smallest flow rate in the peak value is selected as the screened flow rate array and applied to the multifunctional regulating storage tank.

9. A system using the multifunctional polluted rainwater storage and recycling coordination method as described in any one of claims 1 to 8, characterized in that: It includes an initial flow rate setting module, a flow rate acquisition module to be screened, a data analysis module and a flow rate selection module; An initial flow rate setting module is used to set a first initial flow rate from the ecological purification pool to the initial rainwater storage pool and a second initial flow rate from the initial rainwater storage pool to the initial rainwater regeneration treatment system, and to construct an initial flow rate array; The flow rate acquisition module to be screened is used to randomly perturb the initial flow rate array based on the preset flow rate constraint condition to obtain the flow rate array to be screened so as to regulate the multifunctional regulating storage tank; The data analysis module is used to obtain the water quality impact data and system processing efficiency data of the multifunctional regulating reservoir, and to build a flow rate setting evaluation model based on long-term and short-term neural networks; The flow rate selection module is used to build a flow rate impact display model and perform data analysis based on the flow rate setting evaluation model and Cartesian three-dimensional coordinate system to obtain the screened flow rate array and control the multi-functional regulating and storage tank.

Images