245 results about "Discharge" patented technology

The invention discloses a CO2-water-rock dynamic reaction simulation device and an experiment method, and relates to the technical field of geochemical water-rock reaction, the simulation device comprises a gas-liquid internal circulation system, a CO2 input and monitoring system, a temperature control system, a pressure control system and a pH monitoring system; wherein the gas-liquid internal circulation system comprises a core holder and a circulating pump, the core holder is used for fixing a sample and applying confining pressure to the sample, and the gas-liquid internal circulation system can realize continuous fluid-solid coupling physical simulation under a high-pressure condition and continuously monitor environmental pH and circulating confining pressure at the same time; the CO2 input and monitoring system can accurately measure the CO2 injection and discharge amount, and the CO2 geological storage amount in the CO2-water-rock dynamic reaction process and the rock permeability before and after the reaction are obtained. The high-temperature and high-pressure environment of the reservoir under the in-situ condition is simulated in a laboratory, the geochemical response of the CO2-water-rock system and the permeability evolution characteristic of the sample are monitored at the same time, and guidance is provided for improving the existing CO2 enhanced oil and gas exploitation and CO2 geological storage technology.

The invention discloses a pollution abatement result evaluation method and system based on big data, and relates to the technical field of pollution abatement. The method comprises the following steps: acquiring removal rates of different pollutants according to multi-modal data of sewage, acquiring a first evaluation coefficient, acquiring a historical data set of a river, acquiring influence degrees of different environmental conditions on different pollutants in combination with the first evaluation coefficient, constructing an interference analysis model, acquiring a real-time influence degree according to a real-time data set, and analyzing the real-time influence degree according to the real-time influence degree. Obtaining a second evaluation coefficient according to the removal rates and the real-time influence degrees of the different pollutants, obtaining a prediction influence degree according to the prediction data set, and obtaining the optimized removal rates of the different pollutants in combination with an evaluation coefficient threshold value; the pollution condition of the treated pollutants in the diffusion process can be continuously monitored, the limitation that pollution treatment result evaluation only stays in the discharging process in the past is solved, and the treatment results of different pollutants can be evaluated more accurately.

The invention belongs to the technical field of tunnel engineering and hydrogeological engineering, and particularly relates to a tunnel underground water pressure-limiting discharge management system and method based on data driving. A tunnel underground water pressure-limiting discharge management system based on data driving comprises a monitoring module, a processing module, a control module and an execution module. The monitoring module is used for collecting contact pressure, water pressure, steel bar stress, steel arch internal force, lining displacement, steel bar strain, underground water level and water turbidity as multi-source monitoring data; the contact pressure comprises the contact pressure between the primary support and the secondary lining and the contact pressure between the primary support and the surrounding rock. And the processing module is used for dynamically adjusting the weight coefficient of each monitoring index through an adaptive particle swarm optimization algorithm according to the multi-source information, and calculating a comprehensive early warning index # imgabs0 #. According to the scheme, through multi-source data real-time monitoring and self-adaptive algorithm dynamic adjustment, accurate drainage early warning is achieved, the structural risk is reduced, and safety and reliability are improved.

The invention discloses a method and a system for calibrating the discharge capacity of a reservoir dam, and particularly relates to the technical field of dam monitoring. The method comprises the following steps: firstly, constructing a CFD model of a reservoir drainage system, and optimizing the calculation precision of a key region by adopting an adaptive grid technology; then, respectively calculating an error sensitivity coefficient and a dynamic grid adjustment coefficient by utilizing a machine learning algorithm, automatically detecting a numerical diffusion influence region, and judging whether optimization adjustment is triggered or not; in a high-error region, adaptive grid encryption, dynamic time step adjustment and turbulence model optimization are adopted, so that errors are effectively reduced, and the accuracy of discharge capacity calibration is improved; in addition, a discharge capacity curve is generated through multiple rounds of dynamic adjustment, the discharge capacity under the future working condition is predicted in combination with a deep learning model, the calculation efficiency is optimized, and the CFD calculation cost is reduced; finally, a high-precision discharge capacity curve and a flow velocity distribution diagram are output, reliable data support is provided for reservoir scheduling, and the accuracy and safety of flood control scheduling are improved.

To allow for calculation of pre-release water levels several days before rainfall start on flood control use of a reservoir.SOLUTION: A water level management method according to one embodiment is a reservoir water level management method executed by a device (10). The water level management method includes the steps of: estimating a recoverable water volume for each arbitrary time unit in the reservoir according to a predicted rainfall amount for each arbitrary time unit around a target reservoir; estimating a total recoverable water volume for an arbitrary accumulation period by integrating the recoverable water volume for each time unit by the arbitrary accumulation period; and calculating, as a pre-release water level, a water level difference between (i) the observed water level at the start of pre-release and (ii) the water level corresponding to a water volume obtained by subtracting the recoverable water volume during the accumulation period from the water volume corresponding to an arbitrarily set management water level of the reservoir, by referring to information indicative of the relationship between the reservoir's water volume and water level.SELECTED DRAWING: Figure 1

The invention relates to the technical field of water quality monitoring, and discloses a discharge outlet tracing method and system based on water quality monitoring, and the method comprises the steps: dividing a to-be-detected water area into an upstream region, a midstream region and a downstream region according to the flowing direction, respectively collecting water quality monitoring data, and taking the region with the abnormal water quality monitoring data as a first discharge region; taking an upstream water area of the first discharge area as a second discharge area, and determining a final discharge area according to the water quality monitoring data of each sampling point in the first discharge area and the second discharge area; according to the water body parameters of the final discharge area, the sampling point spacing and the sampling frequency are determined, the sampling point spacing is adjusted in combination with the environmental parameters, and the sampling frequency is adjusted according to the pollutant concentration change at different time; and generating a concentration change curve of pollutants along with the water flow direction according to the water quality monitoring data of the finally adjusted sampling points, and determining the specific position of a discharge outlet. According to the invention, accurate discharge port positioning is realized.

The invention discloses a reservoir desilting method and device using fixed jet flow, and relates to the technical field of water conservancy and hydropower engineering desilting. According to the method, the flow speed, pressure, mud layer thickness and gradient parameters of water around a nozzle are collected in real time; calculating a jet flow angle compensation coefficient, and identifying a nozzle direction stable state; on the basis of a nozzle set with stable direction, a nozzle group is constructed and a time sequence differential control table is established by combining a topological relation between nodes and disturbance propagation characteristics, so that ordered migration of turbulent flow disturbance is realized; sediment concentration, flow velocity and flow data are collected in a flow guide plate and a sediment discharge port area, and a desilting efficiency index is calculated and used for evaluating sediment transportation continuity and flow guide performance; and a comprehensive operation optimization coefficient is generated through a multivariable adaptive weighted fusion algorithm, and the system automatically executes adaptive regulation or sends out a manual intervention prompt. According to the method, self-monitoring, self-correction and global optimization of the fixed jet system can be achieved, and the reservoir dredging efficiency and the operation stability are remarkably improved.

The invention relates to the technical field of hydrological data reorganization, in particular to a water level flow relation fitting method based on an LSM-OF model. The method comprises the following steps: performing regression analysis on actually measured flow by using a least square method (LSM), and selecting and matching an optimal polynomial fitting equation to predict a water level flow relation curve; linear fitting is carried out on the overall sample through an orthogonal function (OF) model, and a final curve is determined; then performing alignment precision inspection and three-item inspection of symbol, line adaptation and deviation; and finally verifying the extension curve through manual alignment and analyzing errors. The method combines the advantages of LSM and OF composite models, and improves the fitting precision and stability. The whole process can be automatically completed through a computer, manual subjective errors are avoided, the working efficiency is improved, the method is suitable for stable water level flow relation fitting of different hydrological stations, efficient and accurate technical support is provided for hydrological monitoring and hydraulic engineering decision making, and wide practicability and innovativeness are achieved.

The invention belongs to the technical field of hydraulics, and particularly relates to an earth and rockfill dam overtopping dam break peak flow prediction method, which comprises the following steps: collecting a water level-area-reservoir capacity curve, a dam crest elevation and a dam site section reservoir bottom elevation data of a prediction target reservoir; according to the dam crest elevation and the water level-reservoir capacity curve, the reservoir capacity is obtained through linear interpolation, and the maximum dam break height is obtained by subtracting the dam site section reservoir bottom elevation from the dam crest elevation; according to the water level-area curve, converting the water level into false height by taking the reservoir bottom elevation as a reference surface, and fitting the false height to obtain a power coefficient; acquiring a flow coefficient by adopting a linear fitting mode according to the database data of the broken dam case; and predicting the reservoir dam break peak flow according to the breach peak flow calculation formula. The dam break peak flow prediction index provided by the invention is clear in physical significance, has a remarkable linear correlation characteristic with the dam break peak flow, is easy to obtain, and can be used as a trend analysis index to test the rationality of a calculation result.

The invention discloses a constant-volume double-floater sediment content measuring system for a runoff plot. Traditional weighing and automation technologies are fused, and the problems of low labor efficiency, photoelectric pollution, capacitance interference, gamma-ray hidden danger and the like are solved. The system is composed of an upper floater cavity, a lower floating ball cavity and a single-chip microcomputer weighing system, and double floaters discharge water in a linkage mode. When sediment water reaches a preset height, the large floater floats and pulls the nylon rope to enable the floating ball to float, and drainage is triggered. The water flow sensor detects drained water, the single-chip microcomputer weighs and records data, and isovolumetric drainage is achieved according to buoyancy. An ESP32 single-chip microcomputer is adopted, a WiFi module is integrated, data can be uploaded to a cloud end in real time, and the sediment amount is calculated in combination with outer wall scales and final weighing. Finally, the total amount of sediment is calculated through a formula # imgabs0 #, and the measurement precision is ensured by combining automation and manual reading. The device has the advantages of real-time collection, no pollution, compact structure, adaptability to different runoffs and low maintenance cost, and provides an efficient, reliable and low-cost solution for water and soil loss monitoring.

The invention relates to the technical field of rain and sewage diversion, in particular to a rain and sewage diversion optimization method based on combination of terrain gravity and a pipe network, in the rain and sewage diversion optimization method, slope calculation, flow gradient analysis and section resistance matching are combined, a rain and sewage mixed flow trend and a pipeline full flow section are accurately recognized, drainage capacity distribution is optimized, and the rain and sewage diversion efficiency is improved. According to the method, a slope imbalance section and a discharge capacity difference area can be recognized in advance through transmission capacity calculation and flow velocity gradient analysis, data support is provided for load distribution optimization, a Markov switching system is combined with flow direction transfer rate calculation and pressure fluctuation analysis, the system adjusts the flow direction based on dynamic changes of different discharge modes, and the flow direction transfer rate calculation and pressure fluctuation analysis are combined. The influence of burst flow impact is reduced, a dynamic flow direction adjusting strategy is constructed through a hidden Markov model, self-adaptive matching is formed between flow direction change analysis and a diversion transfer strategy, the accuracy of rainwater and sewage diversion is improved, regulation and control error calculation is combined with flow direction equilibrium adjustment, and setting of switching points and overflow adjusting parameters is more flexible.

The invention relates to the technical field of soil engineering model tests, and discloses a test system and method for simulating water and mud bursting of a subsea tunnel under the action of vibration, and the system comprises a multi-degree-of-freedom servo feedback vibration module which is used for providing a multidirectional vibration loading platform and feeding back a motor current signal in real time; the visual rock-soil water inrush simulation and multi-field loading module is mounted above the vibration table and is used for accommodating a sample and applying confining pressure and water pressure load; the hierarchical multi-source data acquisition module is communicated with the discharge port and the observation window, and is used for acquiring the outburst mixture and monitoring physical field data; and the intelligent control and risk assessment analysis module is connected with each module to regulate and control loading parameters and invert a catastrophe state based on feedback data. According to the method, a self-adaptive optimization loading mechanism based on the improved particle swarm optimization algorithm is constructed, so that collaborative progressive regulation and control of pore water pressure and vibration frequency parameters are realized, and a critical threshold point of water inrush and mud inrush catastrophe can be accurately captured.

The invention discloses a combined scheduling method, system, equipment and medium for a reservoir group, and the method comprises the steps: obtaining a reservoir storage and discharge sequence set of a target reservoir group, the reservoir storage and discharge sequence set comprising a plurality of intermediate storage and discharge sequences; obtaining a first storage and discharge scheduling strategy, a plurality of storage flow data sets and a river discharge data set; performing optimal scheduling strategy screening on the first storage and discharge scheduling strategy according to the plurality of intermediate storage and discharge sequences, all the reservoir flood flows and all the river safety discharge volumes to obtain a target storage and discharge scheduling strategy; according to the target storage and discharge scheduling strategy, optimal storage and discharge sequence screening is carried out on the reservoir storage and discharge sequence set, and a target storage and discharge sequence is obtained; and obtaining a combined scheduling result of the target reservoir group according to the target storage and discharge scheduling strategy and the target storage and discharge sequence. The method can effectively improve the flexibility and scheduling effect of reservoir group joint scheduling. The invention relates to the technical field of hydrology science.

The invention discloses a river and lake regulation and storage system flood routing intelligent forecasting method based on a dynamic storage and discharge relation, and the method comprises the steps: constructing a space-time dynamic association diagram structure which reflects the waterpower relation of a drainage basin, and mapping multi-source hydrological data to generate a model input set with a unified space-time scale; establishing an aggregation reservoir parameterized structure model which comprises a dynamic water level-reservoir capacity relation driven by inflow change characteristics and a composite water level-flow relation integrating a time lag effect and backwater jacking feedback; constructing a flood regulation calculation equation set, and according to the real-time delay state in the composite relationship, adopting an adaptive solution mechanism to switch among different algorithm channels so as to solve the equation set; and correcting the model state by using the real-time observation data and executing rolling prediction. The method effectively solves the problems that in a complex river and lake system, dynamic characteristics of the storage and discharge relation are difficult to depict, the non-in-phase evolution process is unstable to solve, and high-dimensional parameters are difficult to calibrate, and the continuity and physical consistency of flood forecasting are improved.

The invention discloses a multi-parameter linkage water quality sampling method and system, and relates to the field of water quality sampling, and the method comprises the steps: obtaining hydrological data, main transportation path data and pollutant discharge data; setting water area sampling points of the target monitoring water area according to the hydrological data, the pollutant emission data and the main transportation path data; water quality sampling is conducted on the water area surface sampling points and the water area vertical sampling points; verifying the validity of the sampling point data, and determining the validity of the water area surface sampling points and the water area vertical sampling points according to the validity verification result; acquiring water quality monitoring data of the water area surface sampling points and the water area vertical sampling points; calculating a pollution source linkage index according to the water quality monitoring data, and determining a pollution emission event type; determining a time sequence phase definition for the pollution event based on the pollution emission event type and the water quality monitoring data; and determining the corresponding water quality sampling frequency and water quality sampling volume by combining with the time sequence stage definition. The accuracy of water quality monitoring can be effectively improved.

The invention discloses a cascade reservoir backwater jacking influence quantification and tail water level prediction method based on hydrodynamic simulation and regression analysis. The method comprises the following steps: step 1, data collection and preprocessing; 2, constructing a one-dimensional hydrodynamic model, simulating water surface lines under different constant flow conditions by taking the upstream reservoir outlet flow as an upper boundary and the downstream reservoir dam front water level as a lower boundary, and calculating the upstream reservoir tail water level; 3, multiple groups of upstream reservoir outlet flow and downstream reservoir dam front water level combinations are set, the corresponding tail water level is calculated through a hydrodynamic model, and a data table is formed; 4, establishing a function relation model among the tail water level, the reservoir outlet flow and the dam front water level by using a multivariate nonlinear regression method; step 5, performing significance test and error analysis on the regression model; 6, a calculation page rule of the influence of the downstream reservoir backwater jacking on the upstream reservoir tail water level under different working conditions is developed; the method is beneficial for improving the refined scheduling level of the cascade reservoirs.

The invention relates to the technical field of knowledge graph construction and water quality analysis, in particular to a water quality anomaly attribution identification method based on a water quantity and water quality coupling knowledge graph. The method comprises the following steps of: accessing hydrological data and water quality data of a drainage basin monitoring section, engineering scheduling data of an associated gate dam and drainage basin pollution source multi-source data to form a standardized water quantity and water quality associated data set; taking a monitoring section, a gate dam and a drain outlet as core entities based on a water quantity and water quality associated data set; spatial correlation is established according to a river network topological structure, time response correlation is bound based on time sequence monitoring data, and a dynamic coupling mechanism of water volume change and water quality evolution and a dynamic coupling mechanism of sewage draining exit discharge and water quality response are embedded, so that a water volume and water quality coupling knowledge graph is constructed. According to the method, the water quantity and water quality coupling knowledge graph is constructed, multi-source data are fused, intelligent and accurate attribution of water quality abnormity is realized, and the decision scientificity of intelligent water conservancy is improved.

The application belongs to the field of flood control scheduling, and discloses a method for calculating the scheduling response relationship of an upstream reservoir to a midstream and downstream control station, comprising the following steps: generating the river channel hydrodynamic state under the reservoir regulation and storage process by using a Mike model, and adding a measured flood sequence to form an upstream reservoir scheduling-downstream river channel hydrodynamics state sample. The influence period of the upstream discharge flow is determined, the response relationship between the upstream reservoir discharge flow and the downstream control station flow is extracted by using an Elman neural network, and the performance of the model is evaluated. On the basis of the upstream reservoir discharge flow-downstream control station water level data, a flow-water level model for the reverse calculation of the upstream reservoir storage and discharge process is established by using multiple linear regression. The water level or flood discharge flow target of the downstream river channel is determined, the upstream reservoir discharge flow process and the storage process are inversely calculated, and the reverse control of the upstream reservoir is realized. The application can provide a stronger basis for the flood control scheduling of a basin, thereby reducing the scheduling risk.

The invention provides a source tracing method and system for PPCPs in surface water based on discharge source characteristic indexes, and relates to the technical field of water environment trace organic matter analys.The source tracing method includes the steps that a water sample at each discharge source is obtained and analyzed to obtain a source recognition coefficient of each discharge source, surface water is analyzed to obtain the source recognition coefficient of the surface water, and the source recognition coefficient of each discharge source is obtained; analyzing the source identification coefficient of each emission source to obtain the dissimilarity between the surface water and each emission source, obtaining the diffusion coefficient of each PPCPs, obtaining surface water data, and correcting the diffusion coefficient according to the surface water data to generate a corrected diffusion coefficient; constructing an emission intensity prediction model according to the dissimilarity between the surface water and the emission source, the corrected diffusion coefficient of each PPCPs and the emission intensity of each PPCPs; and calculating the contribution degree of each pollution source according to the emission intensity of each pollution source. According to the method, efficient source tracing and treatment of PPCPs pollution in surface water are achieved by accurately quantifying pollution source contribution.

The present invention discloses a method and system for calibrating the discharge capacity of a reservoir dam, specifically related to the technical field of dam monitoring. First, a CFD model of the reservoir discharge system is constructed, and the adaptive grid technology is used to optimize the calculation accuracy of key areas. Then, machine learning algorithms are used to calculate the error sensitivity coefficient and the dynamic grid adjustment coefficient respectively, automatically detect the area affected by numerical diffusion, and determine whether to trigger optimization and adjustment. In the high-error area, adaptive grid encryption, dynamic time step adjustment, and turbulence model optimization are adopted to effectively reduce errors and improve the accuracy of discharge capacity calibration. In addition, the discharge capacity curve is generated through multiple rounds of dynamic adjustment, and the discharge capacity under future working conditions is predicted by combining with a deep learning model, optimizing the calculation efficiency and reducing the CFD calculation cost. Finally, a high-precision discharge capacity curve and a flow velocity distribution map are output, providing reliable data support for reservoir operation and improving the accuracy and safety of flood control operation.

The utility model relates to the technical field of sediment content detection devices, in particular to a sediment content detection device for a Yellow River basin, which is characterized in that a Yellow River water sample is discharged into a quantitative mechanism, the quantity of the Yellow River water sample is measured through the quantitative mechanism, the measured Yellow River water sample is discharged into a precipitation mechanism, and sediment in the Yellow River water sample is precipitated. Water is discharged by starting the water discharging mechanism, sediment in the sediment mechanism is dried after discharging is completed, the dried sediment is discharged into the weighing mechanism through the sediment mechanism, and the practicability of the equipment is improved; comprising a quantifying mechanism; the device further comprises a precipitation mechanism, a stirring mechanism, a drainage mechanism, an exhaust mechanism and a weighing mechanism, the quantitative mechanism is installed on the left side of the precipitation mechanism, the stirring mechanism is installed in the precipitation mechanism, and the exhaust mechanism is installed on the precipitation mechanism, located on the right side of the precipitation mechanism and located below the drainage mechanism. And the weighing mechanism is mounted below the precipitation mechanism.

The invention discloses an ecological flow calculation method adaptability evaluation system based on TOPSIS, and the system comprises the steps: calculating the ecological flow of a river channel according to an ecological flow calculation method, calculating an ecological flow magnitude index and a hydrological rhythm matching degree index according to the process of the ecological flow of the river channel, and taking the process of the ecological flow of the river channel as a reservoir discharge constraint. The method comprises the following steps: constructing a reservoir generating capacity maximum optimization scheduling model coupled with ecological constraints, taking long-series historical reservoir inflow runoff of a reservoir as model input, calculating a generating capacity index and an ecological flow guarantee rate index through model solution, and planning an ecological flow magnitude index, a hydrological rhythm matching degree index, the generating capacity index and the ecological flow guarantee rate index as a whole, so as to obtain a reservoir generating capacity maximum optimization scheduling model; and a TOPSIS-based scheme optimization model is constructed, the relative proximity of index values of different ecological flow calculation methods is calculated, and the ecological flow calculation method oriented to hydropower dispatching is optimized. Technical support is provided for selecting an ecological flow calculation method and reasonably determining ecological discharge constraint in hydropower optimization scheduling.

The application provides a sedimentation tank flocculation sedimentation control method and device, electronic equipment and storage medium, including: obtaining raw water quality target parameters; based on the raw water quality target parameters, feature extraction and noise reduction processing are performed through an adaptive mode decomposition algorithm to obtain a feature vector; the feature vector is processed by using an extreme learning machine model optimized by an improved genetic algorithm to obtain a coagulant dosage prediction value; based on the coagulant dosage prediction value, coagulant is added to the raw water, and the operating parameters of the sedimentation tank are monitored; based on the operating parameters, the dry sludge amount in the sedimentation tank is determined through a dry sludge amount model; if it is determined that the sludge discharge condition is met based on the dry sludge amount and a pre-set sludge level threshold value, sludge is discharged; the effluent turbidity of the sedimentation tank is monitored in real time during the sludge discharge process, and the coagulant dosage is dynamically adjusted based on the effluent turbidity through the adaptive mode decomposition algorithm. In this way, the coagulant dosage accuracy and process synergy are improved, and the sedimentation tank is discharged on demand.

The application relates to a method for fracturing a fractured shale zone by using a pre-bridging body, and relates to the field of shale gas fracturing. The method comprises the following steps: establishing a shale fracture development degree judgment model, judging the natural fracture development degree of a target layer according to the shale fracture development degree judgment model; calculating different discharge wellhead pressure values according to well logging data interpretation and small pressure test data, and establishing a fractured shale zone body reconstruction construction pressure judgment standard; adopting a pre-bridging technology for construction in the early stage of fracturing implementation; and adjusting the discharge, liquid viscosity and in-joint bridging process parameters to realize reservoir reconstruction. The method for fracturing a fractured shale zone by using a pre-bridging body can help field engineers to judge the fracture development degree of a formation and evaluate whether fracturing reconstruction is effective, and on this basis, systematic pre-bridging technology and field construction control means are provided, so that the reconstruction effect of the fractured shale zone is effectively improved.

The application discloses a kind of shore-based breeding sea sewage outlet nitrogen phosphorus dynamic flux calculation method, comprising the following steps: S1, obtain shore-based breeding pond basic breeding parameter, species basic information and field breeding pond water body index data, provide input data for subsequent calculation;S2, construct the energy balance model of the breeding species to be studied, input basic physiological parameters, environmental parameters and breeding basic data, construct individual energy input and output balance equation;S3, the energy dynamic numerical value output by energy balance model is converted into carbon flux by energy density constant, and carbon flux is converted into nitrogen flux and phosphorus flux;S4, construct the nitrogen and phosphorus balance calculation relationship of single pond mouth, calculate the nitrogen and phosphorus pollution dynamic discharge flux of single pond sewage outlet scale;S5, the model result is verified using the actual monitoring data of breeding pond sewage outlet, the fitting effect of calculated value and measured value is compared, and model parameter is corrected;The method can realize the accurate, dynamic calculation of nitrogen and phosphorus pollution discharge flux.

This application provides a method and system for intelligent scheduling of cascade hydropower stations based on basin-level early warning, belonging to the field of optimization scheduling technology. The method includes: building a multi-process coupled model of the basin and outputting real-time forecast results; constructing a point-line-area level early warning map; constructing marginal flood control risk functions and marginal power generation benefit functions for each reservoir based on the point-line-area level early warning map and the current operating data of each reservoir; constructing an objective function based on the marginal flood control risk function and marginal power generation benefit function with the goal of maximizing the expected comprehensive efficiency of the cascade; solving for the spatial distribution scheme of cascade risk and benefit; dynamically replacing flood control risks among different reservoirs within a preset risk threshold range according to the spatial distribution scheme of cascade risk and benefit, generating a differentiated joint scheduling scheme that includes the discharge time history and water level control trajectory of each reservoir. This solves the technical problems of low efficiency and insufficient accuracy in the scheduling decisions of cascade hydropower stations in existing technologies.

Aiming at the problems of inaccurate sediment monitoring, extensive sludge discharge control, low dosing accuracy and the like of the traditional sedimentation tank, the invention provides a visual monitoring and model-driven sediment prediction and sludge discharge control method and system for a sedimentation tank. The method comprises the following steps: visual monitoring: collecting images of a sedimentation tank through an underwater camera device, identifying interface characteristics of bottom mud, and constructing a bottom mud thickness distribution thermodynamic diagram in combination with an inverse distance weighted interpolation method; parameter acquisition: acquiring operation parameters such as water inlet flow, raw water turbidity, pH value and the like in real time; model-driven prediction: establishing a BP neural network model coupled with multiple variables, a mud yield model and a multi-dimensional coupled bottom mud distribution prediction model; and intelligent sludge discharge control: generating an optimization instruction of sludge discharge frequency, quantity and area based on a prediction result, and controlling sludge discharge operation. According to the invention, bottom mud monitoring automation and mud discharge control refinement are realized, the precipitation efficiency is improved, and the operation cost is reduced.

The invention discloses a cascade power station assembly type warehouse-out flow water affair calculation method, and belongs to the technical field of water conservancy projects. Reservoir operation data and a reservoir characteristic curve are obtained, and the output flow of the reservoir is calculated through three calculation modes of water purification head output double linear interpolation, water purification head linear interpolation and curve fitting function linear interpolation. Various problems possibly occurring in actual production scheduling are completely covered, multi-reservoir delivery flow parallel computing is achieved, and the precision of a complex scene is improved; the modular design realizes full-process automation, and supports a user to change self-defined parameters such as a characteristic curve and flexible expansion at the same time. And the calculation result is output in the form of a standardized Excel file and covers key information such as the power generation flow of each unit, the gate flow and the total power generation flow, so that the calculation efficiency and precision are remarkably improved, and reliable technical support is provided for reservoir refined scheduling and water resource optimization management.

This invention discloses a method and system for synergistic analysis of pollution discharge and carrying capacity in static water bodies. Based on monitoring data of static water bodies, the method uses fluid dynamics equations to simulate the transport and diffusion behavior of pollutants in the static water body, obtaining the flow velocity field. The monitoring data of pollutant concentrations are input into a neural network model to predict continuous-time pollutant concentration sequences. Specifically, a convection-diffusion response equation is established based on the flow velocity field to construct the loss function of the neural network model. The maximum carrying capacity sequence of the static water body for the pollutants is calculated to quantify the pollution carrying capacity of the static water body. A water quality dynamic balance coefficient is calculated based on the pollutant concentration sequence and the maximum carrying capacity sequence to quantify the synergistic effect of pollution discharge and carrying capacity. This invention proposes the concept of synergistic discharge and carrying capacity for the first time, realizing the comprehensive ecological performance assessment of static water bodies such as lakes and reservoirs, and providing a new quantitative calculation method for the comprehensive water quality evaluation of static water bodies such as lakes.

The present invention provides a method for calibrating discharge curves for cascade navigation and hydropower hubs, utilizing a combination of prototype observations, one-dimensional hydraulic formula calculations, and three-dimensional CFD numerical simulations. The method includes: prototype observations under gate-controlled discharge conditions serve to calibrate the empirical coefficients in the hydraulic formulas and verify the three-dimensional CFD numerical simulations; verified three-dimensional CFD numerical simulations under gate-open discharge conditions serve to calibrate the empirical coefficients in the one-dimensional hydraulic formulas; and a one-dimensional hydraulic formula calculation method under both controlled and open discharge conditions plays the primary computational role. Calibration considers the impact of downstream water level changes on discharge capacity, resulting in a family of curves for discharge curves under controlled discharge conditions that vary with upstream and downstream water levels and gate openings, while a family of curves for discharge curves under open discharge conditions that vary with upstream and downstream water levels. This method can address the issue of inaccurate flood discharge scheduling for existing cascade reservoirs.