74 results about "Reservoir operation" patented technology

The invention discloses a flood forecast evaluation method adapted to reservoir dispatching characteristics, which comprises the following steps: respectively driving the same hydrological model by using historical observation rainfall and forecast rainfall, quantifying the error contribution of the hydrological model and rainfall forecast through double-track difference, and constructing a sample evaluation weight in combination with a rainfall score; constructing a weighting condition error distribution model based on the weight, and generating a reservoir flow forecasting scene set containing physical cause characteristics; and inputting the scene set into a reservoir scheduling model containing flood control and benefit-making rules, and outputting a comprehensive scheduling risk index containing a downstream over-alarm risk and water abandoning loss through water balance and downstream evolution calculation. According to the method, the statistical weight is corrected through error attribution, the abstract forecast error is converted into specific engineering risk and economic loss, the hidden risk working condition which is difficult to find by a traditional statistical index is effectively identified, and a quantitative basis is provided for risk decision making of reservoir dispatching and targeted optimization of a forecast system.

The invention belongs to the technical field of water ecological protection and water resource management, and particularly provides a cascade reservoir operation ecological benefit evaluation method based on a habitat model, and the method comprises the steps: collecting the topographic data of a downstream fish spawning site of a cascade reservoir, the actual measurement hydrological data of a hydrological station, and the biological data of target fishes; performing unstructured triangular mesh division on the research river reach by adopting a finite volume method, and simulating flow velocity and water depth distribution of a research area through a continuity equation and a momentum equation; according to the biological data of the target fish, a suitability curve of the flow velocity and the water depth is constructed, and the habitat suitability index HIS of each grid is calculated in combination with the flow velocity and water depth data output by the hydrodynamic module; and calculating an effective available area WUA and an overall suitability index OSI based on the HSI value for ecological benefit assessment. The method comprehensively considers the influence of the cascade reservoirs on the correlation factors, accurately evaluates the ecological benefits, and provides a scientific basis for ecological scheduling of the cascade reservoirs and fish resource protection.

The invention provides a reservoir operation risk real-time early warning method based on digital twinning, and relates to the technical field of reservoir operation engineering safety monitoring, and the method comprises the steps: firstly constructing a reservoir digital twinning body, collecting hydrological, structural and environmental data in real time through a multi-source sensor, and uploading the hydrological, structural and environmental data to a cloud processing center; then dynamically calibrating twin model parameters by using a machine learning algorithm based on historical and real-time data to realize virtual-real synchronous mapping; then calculating a hydrological situation deviation degree representing a hydrological abnormal state and a structure response coupling coefficient representing a structure response characteristic; generating a comprehensive risk index through a risk fusion algorithm, and triggering graded early warning according to a dynamic threshold value; and finally, the early warning information is displayed through a visual platform, and disposal suggestions are provided. According to the invention, real-time, accurate and panoramic perception and intelligent early warning processing of the reservoir operation risk are realized, and the initiative and reliability of reservoir safety management are significantly improved.

The invention discloses a cascade reservoir short-term scheduling method considering the influence of dynamic reservoir capacity and backwater jacking. The method comprises the following steps: constructing a target function; setting constraint conditions; initial water levels of upstream and downstream power stations, upstream power station reservoir flow, downstream representative station water levels of downstream power stations, cascade power station interval runoff and power load plans are obtained, and initial reservoir capacities of all hydropower stations are obtained according to the reservoir capacity curve; assuming the end water level of the upstream power station in the time period, and calculating the corresponding ex-reservoir flow, the end water level, the power generation water head and the power station output; if the output of the upstream power station meets the load plan requirement in the period, adjusting and calculating the output of the downstream power station in the period; according to the upstream reservoir outlet flow and the interval runoff, the downstream reservoir inlet flow is calculated; if the load plan requirement of the downstream power station in the time period is met, adjusting calculation in the next time period is carried out; according to the method, the influence of the dynamic reservoir capacity and the backwater jacking is fully considered, and real-time optimal scheduling of the cascade reservoir is realized.

This application provides a method for optimizing the tiered drought limit water level during the flood season, taking into account both supply and demand. It obtains the downstream control station of the target river channel, tiered water supply demand, initial tiered outflow parameters, and target tiered outflow parameters. Based on a preset low-water inflow sample and the target tiered outflow parameters, it calculates the initial tiered drought limit water level of the upstream reservoir during the flood season. It determines the drought resistance capacity parameters on the supply side based on historical reservoir operation data, and determines the target tiered drought resistance flow gap parameters on the demand side based on the actual outflow and the target tiered outflow parameters. Simultaneously, it determines the risk value of flood control loss conditions based on the reservoir's flood season operating water level and the river's excess discharge. A scheduling simulation model is constructed to perform multi-objective optimization of the initial tiered drought limit water level during the flood season, resulting in a target tiered drought limit water level that balances both supply and demand. This method is adaptable to complex hydrological scenarios such as flood season reversals and rapid shifts between flood and drought, and can collaboratively ensure downstream tiered water demand, reservoir drought resistance capacity, and flood control safety.

This application provides a method and system for monitoring the operational status of reservoirs based on deep learning, relating to the field of water conservancy project operation monitoring. The method includes: collecting multi-source time-series data on reservoir operation, including hydrological time-series data, engineering time-series data, and environmental time-series data; constructing a multi-source feature sequence of the reservoir's operational status based on the multi-source time-series data; inferring the multi-source feature sequence using a deep learning model to obtain reservoir operational status assessment results and trend prediction results; the deep learning model consists of convolutional neural network branches, recurrent neural network branches, and attention mechanism branches connected in parallel; and determining the reservoir's operational status based on the reservoir operational status assessment results and trend prediction results. This application, used in reservoir operational status monitoring, solves the technical problem of low accuracy in existing reservoir operational status monitoring methods.

The invention discloses a reservoir operation safety supervision system and method, and relates to the technical field of reservoir safety supervision, the system comprises a biological information monitoring module, a fishing information monitoring module and an ecological system regulation and control module, foreign organisms in a reservoir are monitored so as to prevent the foreign organisms from damaging the ecological system of the reservoir, and the safety of the reservoir is ensured. Meanwhile, the types and the number of original organisms in the reservoir are monitored, so that targeted number regulation and control are performed, the balance and the stability of a reservoir ecological system are guaranteed, meanwhile, the fishing information of each fisherman is monitored in a fishing area, the abnormal movement and the abnormal behavior of each fisherman and the safety condition of used bait are analyzed, and the safety of the fisherman is improved. And alarm prompts can be given to all the fishermen and all the workers in time, so that the damage of illegal behaviors of the fishermen to the ecological system of the reservoir is avoided, and the safety of all the fishermen is also ensured.

The invention belongs to the technical field of environmental hydraulics, and relates to a carbon transportation characteristic research method and device under reservoir dispatching operation and computer equipment, and the method comprises the steps: constructing a reservoir three-dimensional carbon transportation monitoring network, and obtaining the basic data of a carbon transportation process; based on the basic data, constructing a hydrodynamic force-water quality coupling model for simulating the carbon transportation process, and verifying the hydrodynamic force-water quality coupling model by using monitoring data; quantifying scheduling operation characteristics, and extracting scheduling characteristic parameters influencing carbon transportation; establishing a carbon flux accounting model considering the scheduling influence, and quantifying the influence of scheduling on carbon income and expenditure; establishing a quantitative relationship between the carbon transport characteristic parameters and the scheduling characteristic parameters; and scheduling optimization evaluation is carried out based on carbon environment constraints, a carbon target is incorporated into a scheduling optimization system, and a low-carbon scheduling scheme is proposed. The method has systematicness and dynamics, realizes quantitative evaluation of carbon transportation, and has practicability; the method can be popularized to other types of water body carbon cycle research, and has expansibility.

This invention discloses a variable-dimensional optimization simulation method and system for hydropower station reservoir scheduling rules, belonging to the field of water resource efficiency utilization and reservoir scheduling technology. First, long-sequence operation data of the hydropower station reservoir are collected, and the optimal scheduling scheme is derived using dynamic programming. Simultaneously, grey relational analysis is used to determine the set of influencing factors X and the target factor Y, thereby constructing a sample set. Second, a nonlinear simulation model is constructed, and the optimal simulation model (Model) is determined using a variable-dimensional optimization method. * And its parameters. Finally, the newly obtained impact factor X new Input the best simulation model * The target variable Y is obtained to guide the operation and scheduling of the hydropower station reservoir. new This invention can fully utilize the reservoir's storage capacity to enhance water head efficiency. The system's total output and guarantee rate are superior to conventional methods such as scheduling charts. It has advantages such as good search performance and stability and reliability, and can provide important technical support for the scientific scheduling of large-scale reservoir groups.

The invention discloses a cascade reservoir joint compensation scheduling method considering flood sources and reservoir capacity levels, and belongs to the field of reservoir joint flood control scheduling. In order to solve the problems that a traditional scheduling strategy is poor in adaptability and a reservoir impounding role is fuzzy, the method is implemented through the following steps that the range of cascade reservoirs included in scheduling is determined, and engineering characteristic data such as flood control water levels and flood control high water levels are collected; calculating the amount of flood needing to be retained and stored based on the flood forecasting process of the downstream flood control point; a control reservoir and a matching reservoir are divided according to the hydraulic topological relation, the impounding capacity is distributed by combining the flood volume proportion of each reservoir and the remaining flood control reservoir capacity proportion, full-reservoir impounding distribution is completed through secondary distribution and recursion, the dispatching effect is checked, and the flow regulation and control factors are dynamically adjusted. The method is simple, practical, reasonable, reliable and capable of quickly adapting to different water regimes and work conditions, accurately positioning the reservoir retaining role, improving the overall flood retaining benefit of the cascade reservoir group, conforming to actual dispatching characteristics, being easy to popularize and providing scientific support for real-time dispatching decision of a reservoir operation management department.

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.

The utility model provides an anti-freezing reinforced concrete panel. The anti-freezing reinforced concrete panel comprises a concrete panel, panel steel bars and an electric heat tracing system, wherein the electric heat tracing system comprises an electric heat tracing power supply system and an electric heat tracing belt; panel steel bars and an electric tracing band are embedded in the concrete panel, and the electric tracing band is bound and fixed on the panel steel bars. The electric heat tracing system arranged along with the reinforced concrete panel has the advantages of being high in heat efficiency, simple in design, free of pollution, long in service life, capable of being remotely and automatically controlled and the like. The electric tracing band is arranged along with steel bars of the panel, and construction and installation are convenient; by heating the panel in an icing area, it is ensured that reservoir ice and the panel are not bonded when a reservoir operates, the ice pressure and frost heaving effect of the panel and the dragging and jacking ice pulling effect caused by ice surface lifting are avoided, freeze thawing and frost heaving denudation of panel concrete and damage to a water stop structure are reduced, the repairing treatment cost is greatly reduced, and the repairing efficiency is improved. The overall quality of the panel and the operation safety of a project are improved, and the method has wide guidance and popularization significance.

The invention discloses a three-dimensional air-ground linkage reservoir inspection disposal system based on an unmanned aerial vehicle and digital twinning, which has the advantages that the reservoir inspection disposal system with digital twinning three-dimensional analog simulation, unmanned aerial vehicle omnibearing monitoring inspection and air-ground linkage inspection disposal closed loop is adopted, and the unmanned aerial vehicle is used for returning real-time pictures; real-time sharing and display analysis of data are realized based on a digital twinborn reservoir area scene, engineering hidden dangers and illegal events are reported and subjected to closed-loop treatment in time, and the problems of lack of response speed, analysis lagging and relatively long period of a traditional patrol mode are effectively solved. The method provides powerful technical support for reservoir operation management, and plays an important role in guaranteeing safe operation of the reservoir and handling various abnormal events in time.

The invention belongs to the field of reservoir operation management, and particularly relates to a device for controlling a locking beam to automatically walk in the opening and closing process of a pull rod type gate, which comprises a power mechanism (1), a transmission mechanism (2), a locking mechanism (3), a control mechanism (4) and the like, the pull rod type gate locking beam is controlled to walk automatically through the transmission mechanism (2) and the locking mechanism (3), manufacturing is easy, operation is easy, convenient and safe, working efficiency is high, and later maintenance cost is low.

The invention discloses a reservoir operation data suspicious value identification method and system fusing a sliding window 3 sigma statistical criterion and physical mechanism verification. The method comprises the steps that a reservoir operation data distribution rule is deduced; trying and determining the length of a sliding window for screening suspicious values; performing suspicious value primary screening based on a sliding window; carrying out secondary screening on suspicious values based on differential characteristics; multi-source data collaborative verification based on a physical mechanism; finally confirming a suspicious value; the system comprises an acquisition module, a trial calculation module, a primary screening module, a secondary screening module, a judgment module and a confirmation module. According to the method, the quantitative relation among the reservoir inlet flow, the reservoir water level and the reservoir outlet flow is verified through the water balance principle law, so that whether the statistical suspicious data really violates the physical law or not is distinguished, the misjudgment risk caused by a pure statistical method is avoided, and the suspicious data screening accuracy and reliability are further improved; and a solid foundation is laid for subsequent data cleaning and operation decision making.

The application discloses a reservoir operation state recognition method and device coupling a hidden Markov model and a decision tree, and the method comprises the following steps: obtaining reservoir operation observation data of a target reservoir, and constructing a time sequence containing multi-dimensional hydrological variables; a hidden Markov model is constructed, parameter estimation of the hidden Markov model is carried out based on the time sequence, the model after the parameter estimation is used to decode the time sequence, and a hidden state sequence representing a reservoir operation mode is obtained; the hidden state sequence is taken as a label, the time sequence is taken as a feature, a decision tree model is constructed and trained, and reservoir operation discrimination rules corresponding to different hidden states are extracted; the optimal hidden state number is determined based on preset model optimization indexes, and the hidden state sequence corresponding to the optimal hidden state number and the reservoir operation discrimination rules are output. The application solves the problem that an existing model cannot accurately capture the periodicity of reservoir scheduling, and realizes fine identification of the operation state and analysis of physical rules.

The invention discloses a river regime evolution lightweight prediction method under operation of a large cascade reservoir, which comprises the following steps of: performing discretization based on a river water and sediment movement principle, constructing a water and sediment mathematical model of a one-dimensional river channel, determining sediment input of each branch flow through an incoming sediment prediction method, and calculating the river regime evolution weight of each branch flow; loading into the water-sediment mathematical model as a boundary condition of each branch subarea, adjusting the fine sand sedimentation rate in the water-sediment mathematical model by considering the flocculation effect of fine-particle sediment, and simulating the river potential evolution process of the river channel in the reservoir area under long-term operation according to a preset reservoir regulation rule. And carrying out joint training on a limit gradient lifting algorithm based on a simulation result and multi-dimensional features of water, sand and space to obtain a lightweight river trend evolution prediction model, and predicting river trend evolution. According to the method, the physical characteristics that the large cascade reservoir takes branch incoming sand as a main part and fine sand is easy to flocculate and deposit are considered, the simulation precision is remarkably improved, and meanwhile, an intelligent algorithm is introduced, so that the calculation efficiency and transparency of the model are effectively improved.

The present application belongs to the technical field of environmental hydraulics, and relates to a reservoir operation scheduling carbon transport characteristic research method, device and computer equipment. The method comprises the following steps: constructing a three-dimensional reservoir carbon transport monitoring network to obtain basic data of the carbon transport process; based on the basic data, a water dynamics-water quality coupling model for simulating the carbon transport process is constructed, and the water dynamics-water quality coupling model is verified by using monitoring data; the operation scheduling characteristics are quantified, and scheduling characteristic parameters affecting the carbon transport are extracted; a carbon flux accounting model considering the influence of scheduling is established to quantify the influence of scheduling on carbon budget; a quantitative relationship between the carbon transport characteristic parameters and the scheduling characteristic parameters is established; based on carbon environmental constraints, scheduling optimization evaluation is carried out, the carbon target is included in the scheduling optimization system, and a low-carbon scheduling scheme is proposed. The present application has systematicness and dynamicity, realizes quantitative evaluation of carbon transport, has practicability, can be popularized to carbon cycle research of other types of water bodies, and has expansibility.

A continuous flood routing forecasting and operation method and system for a multi-blockage long-river system reservoir group. The method comprises: on the basis of upstream-downstream hydraulic connections and river channel composition characteristics, analyzing and quantitatively characterizing the physical structure of a cascade reservoir group system, and disassembling a multi-blockage long-river system into a river-reservoir system consisting of river channels, reservoirs and basic river channel units; generalizing upstream-downstream relationships in each component unit of the system, and quantifying waveform characteristics thereof, so as to establish flood routing process equations for upstream and downstream of a dam thereof; and on the basis of historical operation schemes of reservoirs in the component units, extracting and quantifying operation rules to realize dynamic mutual feedback calculation between operation processes and flood routing under different operation modes, and sequentially connecting the component units in series, so as to implement continuous calculation of the multi-blockage long-river system. A flood routing process under the impact of reservoir operation is quantified to realize continuous automatic calculation of a multi-blockage long-river system, thereby providing important technical support for rapid and accurate flood forecasting of basin floods under the impact of water engineering projects.

The invention relates to the technical field of water resource scheduling, and particularly discloses a reservoir outbound flow prediction method and system based on an improved Transform. According to the method, an improved Transform encoder architecture is adopted as a core prediction framework, hydrological features are processed through dynamic standardization, time periodicity is captured through Fourier time-frequency coding, and then input features are formed through splicing; secondly, on the basis of an improved Transform architecture, self-adaptive non-stationary position coding and an attention mechanism with feature gating are introduced, and the prediction robustness is improved in combination with residual mapping, Huber loss and physical constraints; and finally, correcting a system error through weighted fusion of the monthly cycle deviation and the flow grading deviation, and realizing accurate prediction. The method breaks through the dependence of a traditional prediction method on feature storage capacity information, can accurately predict the reservoir discharge flow under the condition of no feature storage capacity information, and provides flexible and efficient technical support for reservoir operation management.

The invention provides a one-dimensional hydrodynamic model water level error correction method based on flow change, and belongs to the field of reservoir operation control, and the method comprises the steps: constructing a one-dimensional hydrodynamic model according to the water level data, flow data, topographic data and roughness data of each station in a reservoir area, and calculating the water level error of a target station; calculating the variable quantity of the flow sequence of the target station at different time intervals, selecting the flow variable quantity at a proper time point and a proper interval, and constructing a linear regression model of the water level error and the flow variable quantity; and performing error correction on the calculated water level of the target station in the target time period by using the constructed linear regression model to obtain the final calculated water level. By means of the method, the water level calculation system error of the one-dimensional hydrodynamic model in the rapid water rising and rapid hydro-fluctuation process can be reduced, the key section water level calculation accuracy is improved, and technical support is provided for flood control, benefit-making dispatching decision making and inversion analysis of large reservoirs or cascade reservoirs.

The invention discloses a medium-and-long-term water and rain condition forecasting precision and applicability evaluation method. According to the method, historical multi-source data is gathered, heterogeneous scene division is carried out by introducing reservoir operation state characteristics to cooperate with meteorological and hydrological factors, and a forecast applicability field including forecast modes, time, space and scene dimensions is constructed; next, identifying a real-time scene in a business period and retrieving a corresponding forecast applicability index, and accordingly generating an applicability weighted water and rain condition scene set containing weights and risk levels; and constructing an applicability-driven multi-target joint scheduling model, directly mapping an applicability index into a target function weight and a dynamic water level constraint boundary, and feeding back and correcting an applicability field based on a scheduling effect. According to the method, a closed-loop coupling mechanism of forecast evaluation and scheduling decision is established, the problems that a traditional evaluation index lacks engineering physical significance and a scheduling model is difficult to dynamically adapt to forecast uncertainty are solved, and benefit maximization under risk controllability is realized.

The application discloses a reservoir operation state recognition method and device coupling a hidden Markov model and a decision tree, and the method comprises the following steps: obtaining reservoir operation observation data of a target reservoir, and constructing a time sequence containing multi-dimensional hydrological variables; a hidden Markov model is constructed, parameter estimation of the hidden Markov model is carried out based on the time sequence, the model after the parameter estimation is used to decode the time sequence, and a hidden state sequence representing a reservoir operation mode is obtained; the hidden state sequence is taken as a label, the time sequence is taken as a feature, a decision tree model is constructed and trained, and reservoir operation discrimination rules corresponding to different hidden states are extracted; the optimal hidden state number is determined based on preset model optimization indexes, and the hidden state sequence corresponding to the optimal hidden state number and the reservoir operation discrimination rules are output. The application solves the problem that an existing model cannot accurately capture the periodicity of reservoir scheduling, and realizes fine identification of the operation state and analysis of physical rules.

The application discloses a kind of cascade power station assembly type discharge flow water affair calculation method, belong to the technical field of hydraulic engineering.Acquire reservoir operation data and reservoir characteristic curve, utilize the discharge flow of reservoir is calculated using three kinds of calculation modes of net water head output double linear interpolation, net water head linear interpolation and curve fitting function linear interpolation.Various problems that can appear in actual production scheduling are completely covered, multi-reservoir discharge flow parallel computing is realized, and the precision of complex scenarios is improved;Modular design realizes full-process automation, while supporting user changes in characteristic curve and other custom parameters and flexible expansion.Calculation results are output in a standardized Excel file, covering key information such as power generation flow, gate flow, and total power generation flow for each unit, significantly improving calculation efficiency and accuracy, and providing reliable technical support for fine reservoir scheduling and water resource optimization management.

The invention belongs to the technical field of water environment management and ecological benefit evaluation, and particularly provides a cascade reservoir operation environment benefit calculation method, system and device based on water environment capacity change and a medium. Collecting water quality monitoring data, hydrological data, reservoir surrounding pollutant storage amount data and sewage treatment plant pollutant treatment unit price of a reservoir area and a research section before and after reservoir construction; calculating the daily average water environment capacity in a natural river state before the reservoir is built by adopting a river one-dimensional model; calculating the daily water environment capacity after the reservoir is built based on the reservoir dispatching characteristics; a market value method is adopted, the water environment capacity increment and the pollutant treatment unit price are combined, and the water body assimilative capacity change caused by the water body water environment capacity change is calculated so as to measure the environmental benefit brought by the water environment capacity change caused by the operation of the target reservoir. By coupling the water environment capacity difference and the pollutant treatment cost before and after the database construction, the accurate quantification of the water quality purification benefit is realized.

The present application relates to reservoir safety monitoring and early warning technical field, especially to a kind of reservoir operating state prediction analysis method based on environmental data.The method comprises the following steps: through the vertical resistivity probe array of layout, using low-frequency alternating current signal acquisition reservoir bottom mud different depth original resistance response sequence;Original resistance response sequence is subjected to polarization effect compensation processing, and the bottom mud resistivity layer spectrum diagram is obtained;Reservoir environmental data are collected;Reservoir environmental data and bottom mud resistivity layer spectrum diagram are subjected to time series coupling analysis, and the bottom mud stability influence factor spectrum is obtained;According to bottom mud resistivity layer spectrum diagram and bottom mud stability influence factor spectrum, bottom mud layered structure model is constructed;The initial stress distribution map is obtained by calculating the basic stress field of bottom mud layered structure model.The present application is monitored from bottom mud inside to the whole chain technical route of multi-factor comprehensive analysis, and the early warning timeliness, accuracy and reliability of reservoir bottom mud disaster are significantly improved.

The present application relates to the technical field of computer, especially to a method for quickly evaluating the influence of reservoir regulation on the fish habitat area in the downstream. The method comprises the following steps: obtaining the natural environment data of the river channel in the area to be studied; checking out the boundary of the area to be studied, generating a triangular mesh and performing mesh smoothing processing; obtaining a triangular mesh graph with elevation interpolation surface data; constructing a two-dimensional hydrodynamic model; selecting a variety of water level and flow rate working condition combinations, simulating the hydrological and hydrodynamic characteristics of the downstream river channel, extracting water depth and flow rate surface data as key environmental factors, and exporting the mesh data of the simulation results; using binary classification method to binarize the environmental factors, determining the proportion of the number of meshes within the range of the key environmental factors in the total number of meshes, and obtaining the fish habitat area in the downstream river channel under various reservoir regulation combinations. The present application can quickly evaluate the spatial distribution of the fish habitat in the downstream river channel affected by reservoir regulation.

A computer-implemented method includes training an artificial intelligence / machine learning (AI / ML) algorithm to generate a reservoir model representative of a storage reservoir and generating the reservoir model. a computer containing the trained reservoir model receives a set of real-time reservoir data generated at the storage reservoir, the set of real-time reservoir data being representative of measured reservoir operations and analyzes the real-time reservoir data using the trained reservoir model. The computer generates at least one recommended alteration to reservoir operations based on an output of the reservoir model.

The application belongs to the technical field of reservoir regulation, and aims at the technical problem that traditional reservoir regulation relies on experience or short-term deterministic prediction, and it is difficult to balance flood control safety and water resource utilization under sudden heavy rainfall. A meteorological driven reservoir risk regulation optimization method and related device are provided. The set rainfall prediction and the current operation state of the reservoir are obtained rolling according to a preset update period, the reservoir inflow prediction result is calculated, and the regulation boundary is obtained according to a set confidence level. Based on the current operation state of the reservoir, the regulation boundary and the reservoir operation constraint information, a plurality of alternative regulation schemes are generated, and then the risk weight is determined according to the current operation state and comprehensive evaluation is carried out, so as to determine the optimal regulation curve, thereby improving the risk adaptability and engineering executability of reservoir regulation.

The application discloses a reservoir multi-objective coordinated optimization scheduling method for coupling regional water balance health, which comprises the following steps: delimiting the calculation range of the reservoir downstream regional water balance and determining the optimization goal of the reservoir scheduling; constructing a regional water resource balance index based on a water balance equation; monthly calculating each water resource amount in the water resource balance index; deducing the minimum reservoir discharge flow meeting the regional water balance health; constructing a reservoir multi-objective optimization scheduling model, taking the maximization of the water resource balance index in the calculation range as one of the optimization goals; solving the reservoir multi-objective optimization scheduling model by using a multi-objective optimization algorithm, generating a Pareto front solution set, and optimally selecting the best coordination scheme to guide the reservoir operation scheduling. The application can not only improve the regulation and control precision of the regional water resource supply and demand balance, guarantee the coordinated safety of life, production and agricultural water, but also improve the power generation benefit, and improve the regional water balance health and the ecological flow guarantee degree in the river.