1859 results about "Water volume" patented technology

The invention relates to the technical field of data processing, and discloses a water quality and water quantity accurate simulation method and system based on an SWAT model and a storage medium. The method comprises the following steps: analyzing rainfall and evapotranspiration data through a two-parameter trend test, and generating standard hydrological data by adopting a triple configuration algorithm; dividing sub-basins by combining topographic information, and calculating a hydrological response unit; performing water balance operation and water conservation evaluation; pollutant diffusion is analyzed, and a diffusion equation is solved; running state monitoring is implemented, and an early warning system is designed; and comparing and correcting measured data, and constructing a hierarchical monitoring mechanism. According to the invention, the whole-process precise management from hydrological data acquisition, water quality evaluation to early warning monitoring is realized, and the accuracy and reliability of water quality and water quantity monitoring are remarkably improved.

The invention provides an intelligent management method for natural resource engineering data, and relates to the technical field of data processing, and the method comprises the steps: inputting a time-space coupling model into real-time weather forecast data, simulating water distribution schemes under different rainfall scenes, automatically recognizing a river reach position of which the ecological flow is lower than a design threshold value, and carrying out the calculation of the river reach position. In combination with a historical water replenishing strategy case library, generating a multi-objective optimization scheduling scheme including a water replenishing time sequence, a water replenishing path and a water replenishing amount; three monitoring points are arranged at a downstream section of an ecological protection area, a flood control section and a canal head of an irrigation area in a drainage basin, and ecological flow, flood control section water level and canal water level data are monitored in real time respectively; and dynamically correcting the water supplementing time sequence, the water supplementing path and the water supplementing amount in the multi-objective optimization scheduling scheme to obtain a corrected scheduling scheme. According to the method, refinement and toughness of drainage basin water resource management can be improved.

The invention relates to the technical field of intelligent water conservancy, and discloses a cross-regional water transfer project intelligent scheduling method and system, and the method comprises the steps: building a digital twin system based on a geographic information system, hydrological monitoring data and a spatial topological structure, and integrating a meteorological evolution prediction model, a basin hydrological response model and a water demand prediction model; predicting a water demand and an adjustable water amount by using a space-time convolutional neural network and a gating circulation unit; establishing a multi-objective optimization model taking water supply benefit, ecological influence and energy consumption cost as optimization objectives; an optimal water transfer scheme is generated through a Markov decision process and multi-agent cooperation; and carrying out robustness evaluation on the scheme and generating an emergency scheduling plan. According to the method, the scheduling efficiency and adaptability of the water transfer project are remarkably improved, and efficient configuration of water resources and quick response under extreme situations are achieved.

The invention discloses an AI intelligent collaborative monitoring management system for a multi-index water volume system, and relates to the technical field of monitoring management, the collaborative monitoring management system comprises a data acquisition module, a water volume system analysis module, a collaborative monitoring module, an emergency early warning module, an early warning scheme module and a data visualization module, all the modules are connected through electric signals. According to the AI intelligent collaborative monitoring management system for the multi-index water volume system, abnormal changes in water quality, water volume and water ecological indexes are identified through anomaly detection, an early warning mechanism is triggered according to the detected anomaly, early warning information is sent to management personnel through various modes such as a visual interface, a short message and an email, and the management personnel can carry out early warning on the water quality, the water volume and the water ecological indexes. According to the invention, the time interval from the occurrence of the abnormity to the discovery of the abnormity is greatly shortened, and valuable response time is provided for managers, so that further deterioration of the abnormity is effectively restrained, and the safety and sustainable utilization of water resources are guaranteed.

The invention provides an intelligent aeration optimization control method and system for a sewage plant, and relates to the technical field of sewage treatment.The method comprises the steps that water quality, water quantity and aeration quantity data are collected in real time; analyzing and processing the data of the water quality, the water quantity and the aeration quantity to form a sewage treatment process data set which comprises the change rate of a water quality index, the fluctuation condition of the water quantity and aeration efficiency information; and according to the sewage treatment process data set, establishing and training a dynamic mathematical model in the sewage treatment process to reflect the relationship among the water quality, the water quantity and the aeration quantity. Real-time monitoring, model prediction and intelligent adjustment technologies are integrated, the aeration control strategy is effectively optimized, the sewage treatment efficiency is improved, the stability of water quality is ensured, and energy conservation and environmental protection are promoted.

The invention relates to an intelligent decision-making method, system, equipment and medium for sewage medicament addition, and the method comprises the following steps: detecting and preprocessing sewage water quality parameters, extracting feature vectors, and carrying out clustering analysis to obtain water quality categories. Historical dosing data is retrieved and subjected to statistical analysis, and an initial dosing scheme is generated; a water quality change curve is obtained by simulating the scheme, and then the optimal dosing scheme is obtained through optimization. And finally, generating and issuing an agent adding control instruction, and executing treatment, so that the technical problems that the traditional agent adding mode mostly depends on artificial experience or simple automatic control, and is difficult to cope with the complex working condition of dynamic change of water quality and water quantity, so that the agent adding is inaccurate, and the agent waste is possibly caused are solved.

The invention belongs to the technical field of water treatment, and particularly relates to a whole-process three-stage linkage control intelligent flocculation dosing method, which comprises the following steps: collection: collecting water quality and water quantity parameters of inlet water and outlet water in real time in the water treatment process; collecting a floc image in the reaction process, analyzing the particle size distribution and the breakage rate of the floc image, and collecting a torque parameter of a stirring device at the same time; according to the invention, multiple types of sensors are deployed in the water inlet area of the flocculation tank, the reaction area and the water outlet area of the sedimentation tank, water quality, water quantity and reaction process parameters are collected in real time, and edge calculation and cloud optimization technologies are combined, so that full-flow intelligent control from agent pre-feeding, reaction process regulation and control to water outlet effect refinement is realized; the method is suitable for scenes such as municipal sewage treatment plants and industrial wastewater treatment stations requiring precise control of flocculant addition, and is especially suitable for water treatment processes with frequent water quality fluctuation and sensitive agent cost, so that the treatment efficiency can be remarkably improved, and the operation cost can be reduced.

The invention discloses an automatic measuring and adjusting method and system for flow of an intelligent separate injection well, and relates to the technical field of layered flow allocation. The method comprises the steps that the residual oil saturation of each layer in an oil reservoir is calculated based on historical and real-time data of the oil reservoir, and the initial water injection rate is distributed according to the residual oil saturation of different layers; and predicting an oil-water output ratio by using a water drive curve model according to the distributed initial water injection rate, and dynamically adjusting a water injection strategy in combination with actual production data for implementation. According to the method, the seepage rate and the pressure distribution are calculated by combining the physical constraint model and the Darcy law, so that the scientificity of regulation and control of the water injection rate of each layer is improved, and pressure balance and seepage path optimization of each layer in the oil reservoir development process are ensured; the real-time water injection strategy is optimized by dynamically predicting and adjusting the oil-water output ratio through the water drive curve model, the water injection rate is dynamically adjusted through the nonlinear prediction control model, it is ensured that the system can still operate stably in the complex dynamic environment, and the water injection efficiency and the recovery efficiency are remarkably improved.

The present invention relates to the field of soft measurement of water resource demand. Disclosed are a neural network-based method for soft measurement of secondary water supply demand, a device, and a medium. The method comprises: by means of training an optimized secondary water supply demand soft measurement model, performing soft measurement of secondary water supply demand, the secondary water supply demand soft measurement model ignoring the shortcomings of individual inertia for a GWO algorithm; introducing the concept of velocity from a PSO algorithm, to improve an individual position updating formula; optimizing a neural network model using the improved algorithm, to establish a regression prediction model; inputting data into the trained improved neural network model; and once a maximum number of instances of training is reached, outputting a water demand prediction result. The present invention uses external influencing factors and the secondary water supply amount of a certain living community as parameters, and inputs same into an improved neural network model to measure the water demand, so that hourly prediction of secondary water supply demand is achieved, and the precision of prediction is significantly improved compared with other models.

The invention discloses an intelligent control method for water treatment aeration. The intelligent control method comprises the following steps: S1, setting a preset condition; s2, measuring water quality data, wherein the data comprises chemical oxygen demand (COD), ammonia nitrogen amount, water temperature and water flow velocity; s3, an intelligent aeration algorithm is set, the intelligent aeration algorithm comprises an air inflow calculation model, the air supply amount of a fan and the opening degree of a valve are adjusted according to the result of the air inflow calculation model, and therefore the dissolved oxygen content, namely the DO value, is adjusted; s4, performing operation calculation according to the current water quality data through an intelligent aeration algorithm to obtain a suggested air volume of the intelligent aeration algorithm; intelligent aeration algorithm model training is carried out by collecting data of a fan, a regulating valve, dissolved oxygen, ammonia nitrogen and the like, dynamic response can be carried out on a training result biochemical pool aeration link according to the inlet water quality and water quantity of a sewage treatment plant and the water quality and water quantity of a water outlet of the sewage treatment plant, and stable process indexes are achieved through aeration according to needs.

The invention provides a pre-cleaning and disinfecting process for empty barrels of barreled water, which comprises the following specific steps: identifying the smudginess and damage conditions of the empty barrels through online detection equipment for the appearance of the empty barrels, transmitting data to a control system, and removing the damaged barrels by the control system according to a detection result and conveying the smudginess barrels into cleaning equipment. And the cleaning equipment carries out deep cleaning and disinfection by adjusting parameters such as flushing pressure, time, water quantity, concentration of alkali wash, concentration of disinfectant, number of rotation turns of an empty barrel and the like according to an instruction of the control system. And the system dynamically adjusts the parameters to adapt to empty barrels with different pollution degrees. And after cleaning is completed, the cleaning condition of the barrel is checked again through another appearance detection device, and the empty barrel which is not cleaned can be separated and sent back to be cleaned again. According to the process, a flexible operation mode is provided, the cleaning and disinfection requirements of different occasions can be met, and the cleaning and disinfection effect of the inner wall of the barrel is effectively improved.

The invention relates to an intelligent water meter warning method and system, a terminal and a storage medium, and relates to the technical field of water meters, and the method comprises the following steps: obtaining a water volume real-time detection value on a water meter and a water pressure detection value collected by a water pressure detection device preset on the water meter; calculating a difference value between the water pressure detection value and a preset water pressure reference value and taking the difference value as a water pressure deviation value; analyzing and determining a water pressure reference deviation interval according to the water volume real-time detection value; judging whether the water pressure deviation value falls into a water pressure reference deviation interval or not; if yes, continuing to obtain a water volume real-time detection value and a water pressure detection value; if not, water leakage early warning information is analyzed and determined according to the water pressure deviation value and the water pressure reference deviation interval, and the water leakage early warning information is output to the terminal held by the manager. The water leakage early warning device has the effect of conveniently and timely carrying out early warning on the water leakage condition.

The invention relates to an inter-basin water saving amount transaction and scheduling optimization method, which comprises the following steps of: performing dynamic contrast analysis on water saving behaviors and water resource response on the basis of historical water consumption behaviors, resource regulation and control records and meteorological basic data, judging the autonomy and continuity of the water saving behaviors, and obtaining the right-confirmable water saving amount; according to the watershed water resource tension degree, the water ecology sensitivity and the water transfer cost, a cross-watershed conversion rule is adopted, a conversion scale factor is set, and resource value transverse butt joint of water saving behaviors of different areas is achieved; calculating the flow attenuation, the regional bearing threshold and the water quality compatibility in the allocation path based on the water-saving amount obtained by the water-saving transaction, and determining the available transmission range and the sustainable allocation amount of the water-saving amount; and according to the distribution of the water-saving quotas and the corresponding value grades, carrying out combined screening according to the use priority, the basin compensation relationship and the space-time adaptation requirements, outputting a resource allocation scheme, and forming a cross-basin water-saving-quantity-driven water resource optimal allocation structure.

The invention discloses a multi-water-source joint scheduling method and system, and relates to the technical field of water resource scheduling, and the method comprises the steps: setting a flood control water level target, and calculating the real-time water level data of each reservoir and the water level deviation value of the flood control water level target; predicting the water discharge amount of each reservoir by using a reinforcement learning algorithm, and adjusting the predicted water discharge amount based on the real-time water level change trend; a cooperative control mechanism between the reservoirs is constructed, gate flow parameters of all the reservoirs are calculated through a time sequence algorithm, and a reservoir gate control model is constructed based on the gate flow parameters; generating a gate control instruction in combination with the reservoir gate control model; and inputting the generated gate control instruction into a gate controller, and in combination with a preset scheduling rule, executing water source scheduling between reservoirs. The reinforcement learning algorithm is used for predicting the water discharge amount, dynamic adjustment is conducted according to the real-time water level change trend, unnecessary water resource waste is avoided, and the risk of isolated operation is reduced.

The invention provides a seawater cooling control system and method which are applied to the technical field of ocean engineering, and the seawater cooling control system comprises a cooling water well, a first temperature sensor, a water level gauge, a water suction pump, a water delivery pump, a monitoring buoy, a second temperature sensor, a flow meter and a controller. The first temperature sensor and the second temperature sensor monitor the temperature in the well and the coral reef area and the water flow speed of the flow velocity metering area respectively, the water level gauge ensures that the water volume in the well is stable, and data are analyzed in real time through the controller to generate a control instruction. The difference value between the environment temperature and the whitening threshold value, the cooling water temperature in the well and the coral reef flow speed serve as input variables, the flow requirement of the water delivery pump is dynamically calculated through a preset rule base, and self-adaptive adjustment is achieved. Through cooperative feedback of the double temperature sensors, it is ensured that the water delivery temperature is strictly controlled within a coral tolerance threshold value, and heat stress whitening is avoided. Layered water taking is combined with a fuzzy control algorithm, energy consumption is reduced compared with a traditional deepwater extraction scheme, and negative effects of shading measures on zooxanthellae are avoided.

The invention provides an irrigation district water resource optimal configuration, scheduling and control system and software, the system comprises a water resource configuration module, a water volume optimal scheduling module and an operation control module, the water resource configuration module is used for realizing a water resource configuration process, and comprises three parts of objective function determination, model expression and model solution; and in the water volume optimization scheduling module, according to a water resource configuration model, time period parameters are substituted for solution to obtain the water distribution volume of each time period of each water consumption unit, and then water volume scheduling is carried out according to the water distribution volume. According to the invention, all-around and multi-layer configuration of water resources is realized; according to the method, a reasonable objective function is determined, for example, economic benefits, social benefits, natural resource balance and the like are considered, and a corresponding mathematical model is constructed to express a water resource allocation problem, so that a basis is provided for solution, and accurate management of water resources is realized. The objective function can reflect the demands of different benefit groups, and ensures the fairness and sustainability of water resource allocation.

The invention relates to a habitat restoration-oriented sediment elution critical threshold evaluation method. The method comprises the following steps: introducing form classification including an exchange state, a carbonate binding state, an iron and manganese oxide binding state, an organic binding state and a residue state; a dynamic disturbance response mechanism is fused, and the elutable proportion is re-evaluated under the conditions of flow velocity, pH, oxidation reduction potential Eh and change; calculating a potential active flux index PAFI to quantify a real releasable part of the pollutants in the bottom mud; establishing pollution flux and biological response time sequence data; depicting ecological response sensitive inflection points by using nonlinear fitting; extracting an ecological function critical damage point EBCP as an ecological constraint upper limit of the elution threshold; constructing a habitat bearing factor set comprising a water body volume ratio, submerged vegetation density and benthic organism biomass; introducing a bearing feedback coefficient CFC, and dynamically correcting a pollutant critical flux value; and outputting a loadable elution flux interval for judging whether the ecological risk red line is touched or not.

The invention relates to the technical field of sewage treatment, in particular to an aeration device for sewage treatment, which comprises an aerator, an adjusting unit for adjusting the aeration rate according to the water quantity, and a treatment unit for cleaning and collecting scum on the water surface, the adjusting unit comprises an outer pipe for supplying air to the aeration machine, an inner pipe and an air inlet piece for controlling the inner pipe to supply air to the outer pipe. According to the invention, through the arrangement of the lower floating plate, the upper floating plate and the connecting floating plate, the inner pipe is driven to adjust the height, the situation that when the water level is relatively low, the air inlet pipe of the aerator is exposed and shakes under the influence of wind power in strong wind weather to cause damage is avoided, and meanwhile, the aeration rate of the aerator can be naturally adjusted according to the water quantity without manual adjustment, so that the aerator is more convenient; as the lower floating plate, the upper floating plate and the connecting floating plate float on the water surface, scum on the water surface can be collected and treated, meanwhile, leaves blown to the water surface in strong wind weather can be collected and treated, and the use effect is good.

The invention provides a safe and rapid evaluation treatment method for overlying strata water diversion under working face mining, in the treatment method, before working face stoping, a waterproof curtain is constructed along the boundary of a surface subsidence range, the waterproof curtain extends into a bottom water-resisting layer from the surface, so that the waterproof curtain is constructed along the vertical projection direction; and the bottom aquifer in the surface subsidence range is completely sealed by the waterproof curtain, so that water inside and outside the waterproof curtain does not interfere with each other, and the water volume influencing the stoping of the working face is reduced. A plurality of water level and crack monitoring assemblies are arranged at the same time, in the stoping process of the working face 1, the water level condition in a waterproof curtain and the crack condition generated by sinking of a bottom waterproof layer are monitored in real time through the water level and crack monitoring assemblies, and corresponding treatment measures are taken according to the corresponding conditions; the waterproof curtain, the grouting operation and the water pumping operation cooperate with one another, the effect that no water is stored in the waterproof curtain is achieved, meanwhile, the construction cost can be greatly reduced, the construction efficiency is improved, and the ecological environment is protected.

The invention discloses a method for evaluating the influence of reservoir-water transfer project combined regulation on downstream ecological flow. The method comprises the following steps: step 1, collecting data of a research area; 2, constructing a water transfer project water source area natural water circulation model WEP-NHA; step 3, constructing a natural-social binary water circulation coupling model WEP-HA; 4, simulating the runoff of the water source area by using a WEP-HA model; 5, the system analyzes the change degree of the key control section water quantity and the ecological flow guarantee rate of the water source area under the condition that the reservoir and the water transfer project are overlapped. According to the method, system simulation of disturbance response of a complex system in a water source area can be achieved, the comprehensive influence of a complex water conservancy project system on water resources and the ecological environment is effectively revealed, high adaptability and predictability are achieved, the problem of regulation and storage effect simulation of a reservoir without data or with little data is effectively solved, and the method is suitable for popularization and application. And decision support is provided for scientifically formulating the water transfer scale and guaranteeing the ecological flow.

The invention provides a sludge amount measurement method and system based on a reservoir model, and relates to the technical field of hydrographic survey, and the method comprises the steps: obtaining the operation data, basin hydrological data and reservoir topographic data of a target reservoir; based on the operation data, the watershed hydrological data and the reservoir topographic data, establishing a water balance equation and a sediment balance equation; establishing a reservoir model through a water balance equation and a sediment balance equation, and calculating a first predicted distribution quantity of sediment deposition in combination with a dispatching record and a sediment transportation quantity of a target reservoir; calculating a second predicted distribution quantity of the target reservoir at the prediction moment based on the historical sludge distribution quantity of the target reservoir; and if it is determined that the first predicted distribution quantity and the second predicted distribution quantity are within the preset range, determining that the sludge quantity of the target reservoir at the prediction moment is the first predicted distribution quantity. By introducing a coupling mechanism among multiple factors related to reservoir sludge amount prediction, the accuracy of reservoir sludge amount prediction is improved.

The invention discloses a water supply system scheduling optimization method and device, electronic equipment and a storage medium, and relates to the field of intelligent scheduling of water supply systems. The method comprises the steps of collecting and preprocessing multi-dimensional data to obtain a data set; the pressure data is analyzed from the space-time dimension, and the unfavorable points and the pressure requirements thereof are accurately identified; the method comprises the following steps: constructing a water volume prediction model by adopting a time sequence model, and constructing a total water head difference prediction model by adopting a Light GBM gradient boosting tree in combination with a MultiOutputRegressor multi-output regression framework; constructing a minimum total water production cost objective function based on a prediction result, and outputting an optimal scheduling scheme by combining water volume and pressure constraint iterative optimization; and establishing a model updating mechanism to ensure dynamic adaptation of the strategy. According to the method, the problems of insufficient pressure guarantee, extensive cost control and weak model practicability and generalization ability are solved, the inherent contradiction that a traditional mechanism model is high in complexity and a pure data driving pressure prediction model is poor in generalization and lacks physical significance is overcome, and safe, stable and efficient intelligent technical support is provided for a water supply system.

The invention discloses a method for simulating the dam break flood process of an earth and rockfill dam containing upstream and downstream reservoir areas and application, DEM data is adopted as a calculation structure grid, breach evolution is achieved by updating the DEM data, and related formulas are established by considering factors such as seepage in the breach evolution. Iteration of each time step length is realized by adopting a mode of directly updating and calculating a grid DEM, a dam body area grid participates in model calculation, driving water depth and flow velocity values of breach evolution adopt corresponding water depth and flow velocity values obtained by directly calculating the last time step length at the breach, and changes of reservoir area water quantity are reflected through reservoir area water depth in each time step length. According to the method, the breach scouring and the upstream and downstream hydrodynamic processes are fully considered, the simulation precision and the calculation efficiency are improved, and powerful support can be provided for dam break prediction and emergency rescue.

The invention relates to the technical field of water conservancy informatization flood control, in particular to a reservoir flood control simulation method, system and equipment based on digital twinning and a medium. Constructing a three-dimensional digital twinborn platform based on the target reservoir; the method comprises the following steps: acquiring physical data of a target reservoir and simulation data under a three-dimensional digital twin platform, and utilizing the three-dimensional digital twin platform to construct an incoming water forecasting model and a scheduling model of the upstream of the reservoir and a downstream flood routing model; in the simulation process, upstream incoming water data is collected, and the future incoming water amount is predicted by using an incoming water forecasting model; based on the prediction result, reservoir scheduling simulation is carried out to obtain an optimal scheduling scheme; then, combining downstream rainfall and incoming water data, and utilizing a flood routing model to simulate a flood routing condition; the whole process is automatically joined and driven through a digital twin platform, a simulation result is displayed in a visual form, and the method solves the problem that the joining degree of all links of reservoir flood control is not high.

A mechanical-agitation-based continuous sludge discharge method and system for a water clarifier. The method comprises: acquiring an amount of water, which is to be clarified, in a water clarifier, and adding a flocculant into the water clarifier according to the amount of said water; setting an initial operation rotation speed of an agitator according to the addition amount of the flocculant, acquiring real-time data of the interior of the water clarifier, adjusting the initial operation rotation speed, and ending the agitation with an adjusted operation rotation speed; leaving the water clarifier standing still for a period of time, then acquiring a real-time precipitation amount of large-particle coagula by means of a pressure sensor, and setting an initial valve opening degree and an opening duration of a sludge discharge valve; and acquiring a pressure change rate of the pressure sensor, correcting the initial valve opening degree, and ending the sludge discharge with a corrected valve opening degree. In the present application, agitation and sludge-discharge operations are precisely controlled, such that the treatment effect of a water clarifier is improved, an increase in water turbidity and waste of water resources are reduced, and the maintenance costs and the requirements for manual intervention are also reduced.

The invention relates to the technical field of purification, in particular to a modular constructed wetland optimization method and device, electronic equipment and a storage medium, and is applied to a water purification system.The method comprises the steps that the inflow water amount, the inflow water quality and the outflow water quality are obtained; and calculating the water quality removal rate according to the inlet water quality and the outlet water quality. According to the method, the water quality removal rate of the water purification system is monitored, multi-level data processing is carried out through the pre-trained adjustment model, the preset comprehensive index prediction result of each index is calculated firstly, and under the condition that the comprehensive index prediction result does not meet the process requirement, the water quality removal rate of the water purification system is monitored. According to the method, the target adjustment index is determined based on the multi-target optimization model, the preliminary adjustment strategy is determined, then the preliminary adjustment strategy is further refined based on the strategy evaluation model, and therefore the target adjustment strategy is determined, intelligent and accurate adjustment of the water purification system is achieved, and the target adjustment strategy meeting the preset purification requirement is obtained.

The invention discloses a method for cooperatively regulating and controlling the self-dilution water quantity of a thickener through a rotary mixing drum, relates to the technical field of thickener feeding wells and dilution modes thereof, and aims at solving the problems that the addition quantity of dilution water in the feeding wells is reasonably controlled, the sedimentation effect is poor due to unreasonable flocculation concentration and the like. The method comprises the following steps: S1, setting program parameters of a control system according to design indexes of a specific thickener; s2, when the thickener runs, the control system collects the concentration of the slurry entering the thickener in real time by controlling the ore pulp concentration meter, and further collects the flow of the slurry entering the thickener in real time through the ore pulp flow meter; the adaptability of the thickener in the aspects of feeding concentration and flow fluctuation is improved, the defect that an original fixed dilution opening cannot adjust the dilution water amount is overcome, the flocculation effect of a feeding well is improved, flocculant consumption is reduced, and the fractal dimension of flocs is improved, so that the comprehensive benefits of the thickener are improved.

The invention discloses a water supply digital scheduling method and system based on water volume prediction and water storage regulation, and relates to the technical field of water plant water supply scheduling, and the method comprises the steps: creating a scheduling scene model, and obtaining the historical data of a target water plant; determining the water demand in a period of time in the future through a water consumption prediction model; determining each pipe network end unfavorable point and a pressure control range thereof; constructing a training sample set, and establishing and training a voltage drop fitting model; on the basis of the water consumption prediction model and the pressure drop fitting model, according to historical data, peak and valley electricity prices are matched to the maximum degree, and a water plant delivery pressure scheduling scheme, a water production scheme and a water pump scheduling scheme in a period of time in the future are formulated; and real-time factory instant flow data of the target water plant is obtained, dynamic self-correction is carried out in combination with the scheme and historical data, and real-time water plant water supply scheduling schemes including a real-time factory pressure scheduling scheme and a real-time water pump scheduling scheme are formulated. The accuracy and efficiency of water supply digital scheduling of the water plant can be improved.

The invention relates to the technical field of water environment treatment, in particular to a water quality and water quantity joint scheduling method based on a distributed hydrological model. The method comprises the steps of arranging high-precision monitoring equipment to collect multi-source data, constructing a basic data set, analyzing spatial and temporal distribution characteristics and dynamic change rules of pollutants, designing a multilayer neural network model for training optimization, and generating a water quality prediction result and a scheduling strategy. The invention solves or at least alleviates the capability limitation problem of a non-point source pollution model in the aspect of describing a pollutant migration path and mechanism, and provides a water quality and water quantity joint scheduling method based on a distributed hydrological model. According to the method, through fusion of multi-source data and a dynamic optimization regulation strategy, accurate prediction and efficient treatment of pollutants under complex hydrological conditions are realized.

The invention relates to the technical field of reservoir optimization scheduling, in particular to a dynamic multi-objective optimization control system and method for the water level of a reservoir in a flood season. The method comprises the following steps: acquiring real-time monitoring data of a reservoir; extracting current water level state information according to the real-time monitoring data of the reservoir; establishing a reservoir water balance basic model based on the current water level state information; analyzing pipeline water supply flow change characteristics according to the reservoir water balance basic model; identifying response lag time of pipeline fluid inertia according to pipeline water supply flow change characteristics; predicting a water supply line pressure fluctuation risk based on the response lag time; and determining the water level regulation and control advance according to the water supply pipeline pressure fluctuation risk and the response lag time. According to the method, the multi-objective optimization model is adopted, the flood control safety margin and the water supply guarantee degree can be balanced, and it is ensured that the reservoir can cope with the flood risk in the flood season and can stably meet the water supply requirement.