194 results about "Discharge" patented technology

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 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 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 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 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 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.

The present invention provides a method and system for determining the timing of lake pre-discharge based on short-term rainfall forecasts, which relates to the technical field of urban flood control and drainage. The method includes: obtaining short-term rainfall forecast data; calculating hourly production and drainage flows based on the short-term rainfall forecast data, and calculating the total amount of water entering the lake based on the hourly flows before a set time; calculating the amount of water out of the lake based on the designed drainage flow of the pump station, the water balance equation, and the total amount of water entering the lake, and determining the total amount of water out of the lake; using the water balance equation, the total amount of water entering the lake, and the total amount of water out of the lake for joint calculation to obtain the pump station start-up time; the pump station start-up time is used to determine the lake pre-discharge timing. The present invention can dynamically optimize the pumping and drainage mode of the pump station in terms of time, determine the lake pre-discharge timing, and improve the city's ability to cope with heavy rainfall.

The invention provides an offshore bottom water thin mutual reservoir fracturing parameter design method, and relates to the technical field of oil and gas exploitation, the method comprises the following steps: S1, determining vertical distribution of a reservoir section mud layer, a sandstone layer and a water layer according to logging data, and establishing a target well section crustal stress and rock mechanics profile; s2, acquiring the fracture toughness of rocks with different shale contents under different stresses to obtain a corrected fracture toughness profile; s3, according to the fracture half length, the fracturing displacement, the critical mudstone layer penetrating thickness corresponding to the fracturing fluid viscosity and the penetrating layer fracture height of the reservoir are initially calculated, and parameters needed for avoiding a water layer and fully transforming a thin interbed are obtained; s4, according to the fracture flow conductivity, the sand amount and the sand-carrying fluid amount are calculated initially; s5, the liquid efficiency is determined according to block fracturing historical data, the prepad fluid proportion range is initially calculated, and the prepad fluid amount is calculated; and S6, optimizing parameters through numerical simulation, and determining final fracturing parameters and a pump injection program. According to the method, the requirements of geological and offshore construction can be met, and the optimal fracturing scheme and the optimal pumping program can be rapidly determined.

The application relates to a plain river sediment concentration recovery method, a system and a storage medium, the method comprising the following steps: reading historical hydrological data of a hydrological station, including daily flow and daily sediment rate; defining a target period and a candidate period; obtaining a comprehensive similarity; selecting a candidate year or a candidate year set with the maximum comprehensive similarity as a reference hydrological year of the target period; respectively performing fitting on a correlation function curve; calculating and supplementing the sediment concentration of the target period; and performing pseudo-missing test. The application considers the water and sediment characteristics of dry and flood periods, can effectively control the reconstructed annual total sediment discharge, and has smaller daily process error and high efficiency in filling the missing historical sediment data.

The invention discloses a bed load section sediment transport rate modification method. The method comprises the following steps: calculating a plurality of measured bed load section sediment transport rates; calculating the bed load change section sediment transport rate of multiple times of measurement; based on the bed load actually-measured section sediment transport rate and the modified section sediment transport rate which are measured for multiple times, the correlation between the bed load actually-measured section sediment transport rate and the bed load modified section sediment transport rate is established and obtained; and based on the established relationship between the bed load actually measured section sediment transport rate and the modified section sediment transport rate, substituting the bed load actually measured section sediment transport rate of a certain measurement time to obtain the corresponding bed load calculated section sediment transport rate. According to the method, the bed load actually-measured section sediment transport rate is recalculated, the relation between the bed load actually-measured section sediment transport rate and the recalculated section sediment transport rate is established, the bed load recalculated section sediment transport rate is directly obtained, the actually-measured single-width sediment transport rates of all vertical lines of the bed load do not need to be recalculated one by one, the workload is greatly reduced, and the working time is greatly shortened.

The invention provides a reservoir spillway flood regulation calculation method and device and electronic equipment, and the method comprises the steps: firstly selecting a reservoir original design flood hydrograph of a frequency corresponding to a target standard, then selecting a gate control working condition of a reservoir spillway, and carrying out the regulation calculation of the flood of the reservoir spillway based on the reservoir original design flood hydrograph and a reservoir original discharge capacity curve; and determining a reservoir design flood hydrograph and a reservoir discharge capacity curve corresponding to the gate control working condition, and then performing flood regulation calculation by adopting a water balance method based on the gate control working condition, the reservoir design flood hydrograph, the reservoir discharge capacity curve, the normal storage level of the reservoir and the water level storage capacity curve of the reservoir to obtain a reservoir flood regulation hydrograph. By adopting the method, the efficiency and the accuracy of reservoir flood regulation calculation can be improved, so that the working efficiency of reservoir project spillway type comparison and selection can be improved.

The present application belongs to the technical field of algal bloom emergency prevention and control, and particularly relates to a high-altitude mountain stream type reservoir branch bay hierarchical three-dimensional algal bloom prevention and control method and device. The method comprises the following steps: S1, through upstream unpowered diversion flood routing self-control, according to the mountain stream inflow and water level, automatically switching the diversion flood routing mode, and through pulse intermittent discharge to maintain the circulation kinetic energy in the dry season; S2, through hierarchical three-dimensional reservoir intake bottom support and energy dissipation and endogenous blockage, reducing the vertical impact force of the inflow, guiding the water flow to the two banks to form a shore-hugging circulation, and blocking the release of internal source nutrients in the bottom mud through in-situ passivation; the present application realizes hierarchical three-dimensional algal bloom prevention and control of high-altitude mountain stream type reservoir branch bays, can systematically solve the problems of poor water body exchange, strong internal source release, large water level amplitude and the like of high-altitude mountain stream type reservoir bays, realizes long-term and stable prevention and control of algal bloom, has extremely low operation and maintenance cost, and is particularly suitable for remote, high-altitude and unattended environments.

The invention relates to an ultra-deep water narrow window pressure control well drilling hydraulic parameter design method, which comprises the following steps: researching the migration condition of rock debris from rock debris particle stress analysis, calculating the rock debris particle lifting critical return speed and the rock debris particle rolling critical return speed, taking the minimum value as the critical return speed of a certain well section, and taking the maximum value of the whole well section as the critical return speed of a certain well section. According to the method, the minimum rock-carrying displacement is taken as the minimum rock-carrying return speed of the whole well section, so that the obtained minimum rock-carrying displacement meets the condition of the whole well section, especially for a horizontal well, the borehole cleaning effect of the whole well section is ensured, and the change trend is more easily observed on site by drawing the change curve of the bottom hole pressure and the rock debris concentration along with the displacement; therefore, the displacement can be adjusted according to the displacement corresponding to the minimum value of the bottom hole pressure, the effect of ultra-deep water narrow window pressure control drilling is achieved, and guarantee is provided for safety and well control work.

The application discloses a reservoir scheduling agent training method, comprising the following steps: determining global state information of a reservoir group and local state data of a target reservoir based on historical actual hydrological data and historical predicted runoff data; determining first actual discharge data and predicted water quantity data of the target reservoir through a reservoir scheduling agent based on the local state data and reservoir engineering attributes; determining a joint decision score corresponding to the reservoir scheduling agent based on the local state data and the first actual discharge data; determining a collaborative total penalty term and a penalty gradient update rule of the reservoir scheduling agent based on the predicted water quantity data, the local state data and the first actual discharge data; and iteratively optimizing the reservoir scheduling agent based on the joint decision score, the collaborative total penalty term and the penalty gradient update rule until the reservoir scheduling agent meets a preset convergence condition. Through multi-scale collaborative training of the reservoir scheduling agent, the decision accuracy is improved.

1. Name of the designed product: model (flood discharge channel). 2. Use of the designed product: used for observing the flow velocity of the stepped energy dissipation of the flood discharge channel, the effect of sediment discharge, and the influence of width change on flow pattern. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The application belongs to the technical field of hydrological test, and discloses a sediment flow monitoring device for hydrological test, which comprises a sediment meter, a bottom plate, a stand, a sliding frame, a float, a connecting rod and a mounting plate. The sediment meter is arranged on the bottom surface of the mounting plate. The top of the sliding frame is provided with two connecting plates. The top surfaces of the connecting plates are provided with two vertical plates at intervals. Two rotating holes are formed in the two vertical plates. A rotating shaft is rotatably arranged in the two rotating holes. A roller is fixedly arranged on the rotating shaft. The roller surface is in contact with the surface of the adjacent stand. The two vertical plates are provided with external thread pipes on the sides away from each other. Rubber damping pipes are arranged in the external thread pipes. The inner ring of the rubber damping pipe is matched with the rotating shaft. The float drives the sliding frame and the sediment meter to lift. When the roller and the rotating shaft are lifted and rotated, the rubber damping pipe applies damping force to the rotating shaft, so that the rotating speed of the rotating shaft and the roller is prevented from being too fast, thereby limiting the lifting speed of the float and the lifting frame under the action of waves and preventing the sediment meter from being damaged by oscillation.

The invention provides a method and system for measuring the overtopping sediment transport rate and the scouring rate for a physical water tank experiment, and the method comprises the steps: deploying a sensor array to collect wave parameters, water flow parameters and sediment characteristic parameters, and calculating the overtopping sediment transport rate and the scouring rate based on the collected data; measurement parameters are dynamically adjusted by analyzing water flow turbulence characteristics in real time, data correction is performed by combining inertia characteristics of sediment particles and response characteristics of a measurement system, and the method comprises the following specific steps: synchronously acquiring wave height, period, water flow speed, sediment content and particle size distribution; extracting the instantaneous turbulence intensity and the water velocity gradient based on the collected data; calculating the overtopping sediment transport rate according to the wave parameters, the turbulence characteristics and the sediment characteristics; calculating the scouring rate by combining the overtopping sediment transport rate and the bed surface characteristic parameters; calculating a dynamic correction factor according to the sediment transport rate, the scouring rate and the response time of the measuring device; according to the invention, the reliability of wave-overtopping sediment transport and scouring process measurement under complex water flow conditions can be improved.