111 results about "Reservoir operation" patented technology

The invention discloses a reservoir scheduling decision support system for multi-objective optimization, and relates to the technical field of hydraulic engineering scheduling. According to the system, comprehensive optimization of flood control, power generation and ecological targets is realized through cooperative work of the multi-source dynamic constraint analysis module, the collaborative optimization module, the scheduling module and the correction module. A dynamic constraint boundary table is generated by collecting meteorological, hydrological and ecological data in real time. And matching a multi-target coordination rule through a physical constraint double-depth network algorithm, generating a Pareto feasible solution set, and mapping the Pareto feasible solution set into a coordination strategy of flood discharge flow and power generation output. In combination with a hydraulic model, flood control and power generation weights are adjusted, an executable dispatching instruction is generated, it is ensured that the ecological flow reaches the standard, and the influence of a downstream submerged area is optimized. And correcting the dynamic constraint boundary table according to actual monitoring data, and continuously optimizing a scheduling decision. Accurate management and multi-objective optimization of reservoir dispatching are realized, and the utilization efficiency of water resources is improved.

Disclosed is a reservoir ecological operation method integrating ecological flow process and water temperature process requirements of fish species, including: establishing a habitat model for a target fish species and deducing an ecological flow process of a lift history of the target fish species; calculating a critical spawning water temperature threshold and a critical gonadal development accumulated temperature threshold; establishing a multi-objective reservoir operation model to obtain flow process and water level after optimized reservoir operation; establishing a multi-objective reservoir ecological operation model integrating both the ecological flow process and the water temperature process, and calculating reservoir outflow water temperatures before and after the optimized reservoir operation; and calculating an improvement difference between the critical water temperature threshold and the accumulated temperature threshold of the target fish species on arrival dates after the reservoir ecological operation and those before the optimized reservoir operation.

A fuzzy cloud-based risk assessment method for reservoir operation schemes, including: collecting basic data of target reservoirs; constructing optimal operation model of conventional reservoirs to obtain model calculation results; acquiring change process of operation characteristics during whole operating period according to model calculation results, and constructing multi-level reservoir multi-dimensional risk assessment index system; dividing different risk level intervals according to multi-level reservoir multi-dimensional risk assessment index system; obtaining large number of sample data xij of reservoir risk index under corresponding working conditions by multiple parallel calculations to conduct risk assessment; calculating cloud digital features of different indexes by inverse cloud generator; and weighting indexes in index layer and criterion layer by Analytic Hierarchy Process to obtain multi-dimensional risk assessment results. In order to promote sustainable development and utilization of water resources and enhance level of reservoir risk management, scientific evaluation of reservoir risk is conducted by comprehensively considering various uncertainties.

The invention discloses a three-dimensional digital twin modeling method, system, equipment and medium taking a reservoir as an object, and relates to the technical field of reservoir monitoring, and the method comprises the steps: constructing a three-dimensional space model facing a reservoir entity, and forming a visual simulation environment; accessing multi-source data related to reservoir operation, and establishing a unified data aggregation and management mechanism; integrating a real-time operation state in the three-dimensional space model, and dynamically mapping perception information and business activities of the reservoir; and based on a set analysis model and a determination rule, carrying out intelligent processing on the reservoir operation data, identifying potential risks and generating an early warning result. According to the invention, by establishing a multi-type analysis model and a judgment rule system, real-time calculation and risk identification are carried out on key indexes, intelligent early warning of risks such as emergencies, trend anomalies and historical extreme value overrun is realized, and the risk prevention and control capability of the reservoir is effectively improved.

The invention provides a cascade reservoir operation risk and benefit evaluation method considering prediction uncertainty, and the evaluation method comprises the steps: building a day-ahead wind-light-water optimal complementary model, and employing a two-stage robust method to process the power generation amount deviation generated by the wind-light uncertainty; the method comprises the following steps: identifying the worst condition of photovoltaic power output which causes maximum water consumption and power imbalance to obtain a day-ahead total power generation plan of the wind-solar hybrid system capable of realizing maximum resource utilization rate; according to the evaluation method, a benefit and risk evaluation model based on power generation complementary benefit, power generation stability, power supply reliability and water level fluctuation is further provided, the risk of complementary operation of the reservoir system is quantified through indexes, the risk and benefit of cascade reservoir operation can be reasonably evaluated and balanced on the basis of considering the uncertainty of wind and light power generation, and the method is suitable for popularization and application. And the overall efficiency and reliability of the power system are improved.

The invention belongs to the technical field of reservoir scheduling, and particularly discloses an intelligent reservoir scheduling method based on HHO and MPA dual optimization driving, and the method comprises the steps: taking the maximization of the total power generation amount of a cascade reservoir group as an optimization target, and building a target function; setting constraint conditions of the target function, wherein the constraint conditions comprise equality constraints and inequality constraints meeting reservoir operation; the objective function is solved based on an improved predation strategy optimization algorithm, and the operation water levels of all the reservoirs in the cascade reservoir group at different moments in the dispatching time period are obtained; wherein the improved predation strategy optimization algorithm is realized by introducing the following operations in a search strategy selection stage of the HHO algorithm: global exploration based on an escape energy adaptive switching MPA algorithm and local development of the HHO algorithm. According to the method, the problem that the HHO algorithm is unbalanced in the exploration and development process in cascade reservoir group joint optimization scheduling application is effectively solved, effective balance of global search and local development is achieved, and high robustness is achieved.

The invention relates to the technical field of reservoir safety monitoring and early warning, in particular to a reservoir operation state prediction analysis method based on environmental data. The method comprises the following steps: collecting original resistance response sequences of reservoir bottom mud at different depths by adopting low-frequency alternating-current signals through a laid vertical resistivity probe array; performing polarization effect compensation processing on the original resistance response sequence to obtain a sediment resistivity layer spectrogram; collecting reservoir environment data; performing time sequence coupling analysis on the reservoir environment data and the sediment resistivity layer spectrogram to obtain a sediment stability influence factor spectrum; constructing a bottom mud layered structure model according to the bottom mud resistivity layer spectrogram and the bottom mud stability influence factor spectrum; and carrying out basic stress field calculation on the bottom mud layered structure model to obtain an initial stress distribution diagram. Through a full-chain technical route from sediment internal monitoring to multi-factor comprehensive analysis, the early warning timeliness, accuracy and reliability of reservoir sediment disasters are remarkably improved.

The invention discloses a flood control reservoir flood season application method giving consideration to water resource utilization, and the method comprises the steps: calculating and designing a water inflow process, a water demand process and a minimum reserve water amount and water level process according to the obtained long series of data of a drainage basin; according to the activation mechanism and the quit mechanism, timely developing a flood-control reservoir flood-season water resource application mode or a flood-season reservoir floating water level operation control strategy, and finally, after flood-season operation is finished, evaluating and evaluating the effect of the flood-control reservoir flood-season water resource application mode. The method can more scientifically guide the reserve water amount of the flood control reservoir at the proper time in the flood season to cope with the influence of drought events on downstream water supply safety, and the drainage basin flood and drought disaster prevention and water resource optimal allocation capacity is improved.

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 discloses a reservoir dispatching method for guaranteeing stability of a reservoir bank slope. The reservoir dispatching method comprises the following steps of collecting various data related to a small reservoir; evaluating the stability of the bank slope of the small reservoir; setting different risk scenes and carrying out risk prediction; formulating a reservoir scheduling scheme according to a risk analysis result; and dynamically adjusting the reservoir scheduling scheme according to the monitoring data. According to the method, the slope stability analysis model comprehensively considering various factors such as water level change and rainfall infiltration is established, the stability condition of the reservoir bank slope under different scheduling schemes can be evaluated more accurately, in the reservoir scheduling process, the maximization of a certain target is not pursued purely any more, and the stability of the reservoir bank slope is improved. Multiple targets such as slope stability, flood control benefits and power generation benefits are considered as a whole, an advanced multi-target optimization algorithm is applied, an optimal balance point among the targets is found, and a scientific and reasonable reservoir dispatching scheme which can guarantee stability of a reservoir bank slope and can also take the flood control benefits, the power generation benefits and the like into consideration is formulated.

The invention provides a data query and auxiliary reservoir operation method and system applying a context engineering enhancement agent, and relates to the field of data processing, and the method comprises the steps: determining a set of seed tasks for assisting reservoir operation; determining a data interface, a static enterprise knowledge access interface and an application sub-model of the seed task; user questions are received; performing context enhancement processing on the user questions to generate a data demand list; according to the data demand list, the intelligent agent obtains data related to user questions and an application sub-model from a data interface of the seed task, a static enterprise knowledge access interface and the application sub-model; the application sub-model generates auxiliary reservoir operation information according to data related to user questions; and the agent receives the auxiliary reservoir operation information returned by the application sub-model and compiles the auxiliary reservoir operation information into structured output. The method has the advantage of improving the automation level of reservoir operation.

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.

The invention provides a reservoir scheduling method based on rainfall forecast and remote sensing monitoring. The reservoir scheduling method comprises the following steps: step 1, collecting basic data of a research area and constructing a plurality of basic databases; 2, the basic data of the basic database are preprocessed; 3, constructing a weather forecast model taking the reservoir catchment range as a core, and forecasting weather data in a forecast period; step 4, constructing a distributed hydrological model considering future climate and land utilization or cover change, and calculating a reservoir incoming flow process in a prediction period; 5, calculating irrigation area water deficit state data based on the irrigation area crop remote sensing image; 6, the incoming flow process and irrigation area water deficit state data of the reservoir in the future period in the prediction period serve as input conditions, boundary conditions and constraint conditions are coupled, and a reservoir adaptability scheduling model is constructed; and 7, solving the reservoir adaptability scheduling model. According to the invention, through comprehensive analysis of multi-source information, a multi-level scheduling model is established, and accurate scheduling of the 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.

1. Name of this design product: Modern reservoir operation management matrix graphical user interface for electronic equipment. 2. Purpose of this design product: used for displaying information and human-computer interaction. 3. The key design point of this design product lies in the interface content of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: The interface is used to display data information of the modern reservoir operation and management matrix. 7. Human-computer interaction method of the graphical user interface: The main view of Design 1‑3 is the detailed introduction and directory page of the modern reservoir operation and management matrix. In the main view of Design 1, click "Flood Disaster Prevention" to display the status diagram of the Design 1 interface change. In the main view of Design 2, click "Warning Alarm" to display the Design 2 interface change status diagram. In the main view of Design 3, click "Warning Alarm" to display the Design 3 interface change status diagram. In the main view of Design 4, click "Operation and Maintenance" to present the Design 4 interface change status diagram 1, click the "Layer" icon in the Design 4 interface change status diagram 1 to present the Design 4 interface change status diagram 2, click "Grid Rainfall Forecast" in the Design 4 interface change status diagram 2 to present the Design 4 interface change status diagram 3.

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 present invention relates to the technical field of reservoir operation, and solves the technical problems in the prior art that the hydropower operation of reservoir groups has high energy consumption and the analysis results are not optimal strategies. In particular, the present invention relates to a hydropower operation optimization method and system considering the coupling of cascade reservoir groups. The method includes the following steps: S1. Obtain the power generation function E of each hydropower station in the cascade reservoir group max , and obtain a set of constraint conditions by constraining the relevant variables related to the power generation function E max ; S2. Take each hydropower station as a sample and divide multiple samples. The present invention comprehensively obtains the power generation situation of the cascade reservoir group through multiple restrictive conditions, more comprehensively measures the reservoir water level and power generation, can not only obtain the optimal power generation strategy, but also monitor the impact of the reservoir group water level on the ecology, ensure the survival of animals and plants around the reservoir, and improve the efficiency of reservoir group operation.

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 relates to the technical field of intelligent water conservancy, in particular to a training method of a reservoir dispatching model and a reservoir dispatching system. The reservoir scheduling model comprises a first strategy network, a second strategy network, a first value network and a second value network. Obtaining a first state of a reservoir, wherein the reservoir is a simulation reservoir in a simulation environment provided based on a preset hydrological model; and obtaining a first gate opening degree output by the first strategy network based on the first state, and obtaining a first value through the first value network. And determining a second state and a reward value of the reservoir through the hydrological model, and determining the actual water storage capacity of the reservoir when the gate opening degree of the reservoir is the first gate opening degree according to the second state. And inputting the second state into a second strategy network to obtain a second gate opening degree of the reservoir, and obtaining a second value through a second value network. And according to the first gate opening, the actual water storage capacity, the reward value, the first value and the second value, adjusting parameters of the reservoir scheduling model.

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.