70 results about "Reservoir storage" patented technology

The invention discloses a flood and secondary disaster early warning method and system based on space-air-ground three-dimensional monitoring, and relates to the technical field of space-air-ground detection, and the method comprises the steps: obtaining pre-rainfall data, water vapor content data, actual rainfall data and main stream flood peak flow data; inputting the pre-rainfall data, the water vapor content data, the actual rainfall data and the main stream flood peak flow data into an algorithm model to generate flood stroke and evolution data; and early warning information and an emergency scheme are sent according to the flood journey and evolution data, and flood and secondary disaster early warning is realized. Through cooperation of air-based monitoring, space-based monitoring and foundation monitoring, accurate data of flood formation and evolution are calculated, and then emergency response is started when continuous heavy rainfall occurs or disastrous flood is predicted; by carrying out reservoir pre-discharge scheduling in advance, the river water level is reduced, the reservoir capacity is vacated, and production and life losses caused by flood disasters are reduced.

The invention belongs to the technical field of hydraulic engineering and hydrology, and discloses a non-consistent flood frequency analysis method based on historical flood and reservoir regulation and storage, which comprises the following steps: acquiring actually measured flood data and reservoir observation data in a preset time period of a to-be-researched drainage basin, and respectively constructing an actually measured flood sequence and a reservoir flood regulation index sequence; constructing a joint distribution model according to the reservoir flood regulation index sequence and the actually measured flood sequence, determining a source function of tracing reconstruction based on the joint distribution model, and reconstructing the actually measured flood sequence into a flood reconstruction sequence which is not influenced by reservoir regulation and storage according to the source function; determining a first flood frequency curve according to the historical flood data of the to-be-studied area and the flood reconstruction sequence; and converting the first flood frequency curve into a second flood frequency curve under a non-consistency condition according to the source function so as to carry out flood frequency analysis. According to the method, the problem of flood sequence inconsistency caused by reservoir regulation and storage is solved, and the accuracy of inconsistent flood frequency analysis is improved by introducing historical flood data.

The invention relates to the field of multi-energy coupling complementary scheduling, and discloses a successive approximation random dynamic planning method for a watershed water-wind-light integrated system, and the method comprises the steps: 1, inputting the description of uncertainty; a plurality of characteristic discrete values are sampled from theoretical probability distribution functions of runoff, photovoltaic output and wind power output to represent known continuous probability distribution, and uncertainty of input of the watershed water-wind-light integrated system is described; 2, solving a transition probability matrix; describing the continuity of an input variable time sequence by adopting a simple discrete time Markov chain; 3, considering an objective function and constraint conditions of the watershed water-wind-light integrated system, and constructing a complementary optimization scheduling model; 4, solving by adopting a successive approximation-random dynamic programming method (SDP-SA), and deducing a scheduling rule, namely a scheduling decision table, of the watershed water-wind-light integrated system by taking the time period initial storage capacity, runoff, photovoltaic output and wind power output scenes of the adjustable reservoir in each stage of sub-complementary system as multi-dimensional state variables and the time period final storage capacity as a decision variable; and 5, when an actual inflow condition occurs, looking up the scheduling decision table to perform interpolation calculation according to the reservoir capacity and the inflow condition of the current sub-complementary system and the wind power output and the photovoltaic output which are obtained by forecasting in the period of time, obtaining the reservoir capacity at the end of the period of time, and completing an optimal scheduling decision.

The invention discloses a reservoir level prediction method based on reservoir capacity curve decoupling. The reservoir level prediction method comprises the following steps: 1, forming a sample set by a historical water level and a reservoir capacity sequence; 2, fitting a water level-reservoir capacity curve by using a polynomial; 3, solving an optimal fitting coefficient through a least square method, and establishing a relation curve; 4, calculating the reservoir capacity change in the rainfall period; 5, obtaining a rainfall net contribution amount; 6, calculating a theoretical response water level; 7, collecting historical data and selecting a core predictive factor; and 8, constructing and calibrating a water level prediction model. According to the method, the model which is clear in physical significance, easy and convenient to calculate and high in prediction precision is constructed, reliable technical support is provided for refined scheduling and flood prevention decision making of the reservoir, and therefore the problems that in an existing reservoir water level prediction model, a physical mechanism model is complex in structure, high in data dependence and low in calculation efficiency are solved; and a data-driven model is poor in interpretability, easy to be interfered by data noise and uncertain in generalization ability.

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

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

The invention relates to the technical field of hydraulic engineering, and discloses a reservoir capacity curve high-precision calculation method and system based on a three-dimensional model, and the method comprises the steps: carrying out the self-adaptive sampling and optimization of original terrain data, constructing a three-dimensional terrain surface model, carrying out the self-adaptive discretization grid division, and carrying out the volume analysis error correction. And high-precision reservoir capacity estimation is realized. A data integrity detection and repair mechanism is introduced, the calculation efficiency is improved by combining a parallel processing technology, and the result reliability is ensured by adopting cross validation. Meanwhile, a three-dimensional visual model is generated, layered display of topographic features is realized, a topographic change adaptability analysis function is realized, and a capacity calculation result can be dynamically updated. According to the method, the accuracy and efficiency of reservoir capacity calculation are remarkably improved, and reliable data support and a visual visualization tool are provided for hydraulic engineering planning and management.

The invention relates to the technical field of gas reservoir engineering and development, in particular to a dynamic correction method for the storage capacity of a gas storage of a condensate gas reservoir. Comprising the following specific steps: S1, based on a gas reservoir engineering method and geological data, calculating an original gas-bearing pore volume of a gas storage, and constructing an initial material balance model and various key parameters related to the initial material balance model; according to the method, through basic data collection and model construction, experimental determination and multi-path pore volume change calculation, and then model correction, parameter review, experimental simulation and final prediction and optimization, the storage capacity related parameters can be accurately calculated and corrected, the influence of various factors on the pore volume is effectively quantified, and the calculation efficiency is improved. Accurate prediction of the storage capacity change of the gas storage under future multi-cycle injection and production is achieved, injection and production parameters are optimized to remarkably improve the working gas amount and the storage capacity utilization rate, and good economic benefits and gas storage operation benefits are brought.

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 present application provides a kind of shale gas dessert evaluation method based on methane carbon isotope in tank top gas, the shale gas dessert evaluation method includes the following steps: (1) obtain the tank top gas sample of logging, measure the methane carbon isotope value in tank top gas sample by time period;(2) the data sequence of different time periods of methane carbon isotope value obtained in step (1) is curve fitting;(3) the curve obtained in step (2) is sequentially integrated and differentiated, form the model algorithm of the characteristics of shale reservoir storage and desorption gas volume;(4) according to the model algorithm obtained in step (3), the quality of shale gas reservoir is classified, and the dessert interval is divided out.The evaluation method provided by the present application solves the technical problem of shale gas reservoir site dessert identification under the condition of no geological coring and no geophysical logging, improves the shale gas dessert drilling rate and single well development efficiency, and clarifies the related technical principles and technical routes, reduces the exploration cost, and improves the customer acceptance.

The earth and rockfill dam upstream face water taking construction equipment under the reservoir water storage condition comprises a water taking device, a plurality of water conveying pipes are connected to the water taking device, flange plates are installed at the two ends of each water conveying pipe respectively, and traction devices are erected outside the conveying pipes; a plurality of buttresses are arranged in the water taking device, a plurality of sliding rails are mounted on the buttresses, a sliding table is erected among the sliding rails, and a submersible pump is fixed above the sliding table; a carrying plate is arranged in the sliding table, a plurality of sliding blocks are installed below the carrying plate, a traction hanging frame is fixed between the rear surfaces of the sliding blocks, connecting blocks are installed on the surfaces of the sliding blocks, a rear shovel supporting block is fixed below the connecting blocks, a shovel plate is arranged in front of the rear shovel supporting block, and a plurality of auxiliary pulleys are installed on the rear shovel supporting block. According to the water taking method, construction is simple and effective, under the water storage condition of the earth and rockfill dam, in combination with the water level change condition from the flood season to the dry season, the earth and rockfill dam upstream face water taking project is implemented in stages, and raw water in the middle layer in a reservoir is obtained by a water plant.

The present application relates to the technical field of pumped storage, in particular to a pumped storage power station water energy parameter calculation method and device based on machine learning. The method determines the reservoir storage curve coefficient and the corresponding water level data as input and output samples to train a preset machine learning model. The water level calculation model trained in this way can quickly calculate the water energy parameters of the pumped storage power station, avoiding the problem of low calculation efficiency and long time consumption caused by iterative calculation of various optimization models one by one in related technologies. At the same time, when determining the reservoir storage curve coefficient, the reservoir storage curve constraint is considered, which can reduce the calculation amount and avoid the inaccuracy caused by random determination of the coefficient. In addition, the penalty constraint determined by the water level data is added to the loss function used in the model training, which can quickly correct the prediction direction in the training process, and finally output the water level parameters that meet the actual engineering requirements.

The invention provides a storage capacity calculation and storage capacity loss interval identification method for a large and medium-sized reservoir. The method comprises the following steps: extracting a storage capacity characteristic curve within an elevation range below a dead water level by using an underwater terrain actual measurement method; performing water body identification on the remote sensing image based on an AI technology to extract a reservoir capacity characteristic curve in a dead water level-normal storage water level elevation range; based on a digital elevation model, extracting a reservoir capacity characteristic curve within a normal storage water level-check flood level elevation range; performing cross precision verification after extending the three sections of storage capacity characteristic curves; and a complete water level-reservoir capacity relation curve covering the whole operation water level range is constructed based on the three sections of reservoir capacity characteristic curves, the reservoir capacity increment of each water level section is calculated section by section, and a reservoir capacity abnormal loss interval is judged through a set threshold value of the reservoir capacity increment. According to the method, the reservoir capacity values of the large and medium-sized reservoirs under different elevations can be quickly and accurately calculated, the elevation interval with serious reservoir capacity loss is effectively identified, and the intelligent level and timeliness of reservoir capacity calculation are remarkably improved.

This invention relates to the fields of reservoir scheduling, flood control and disaster reduction, and hydrological forecasting, and particularly to a method for calculating reservoir rainfall carrying capacity based on a dynamic runoff coefficient. The method includes the following steps: collecting data including the target reservoir's catchment area, characteristic water level, and water level-capacity relationship curves; establishing a dynamic equation for rainfall-runoff coefficient based on reservoir storage using the initial water level, characteristic water level, and storage capacity relationship curves; collecting and analyzing historical flood data for the target reservoir to generate parameter statistics tables for each flood event; establishing a dynamic equation for rainfall-runoff coefficient based on underlying surface conditions based on the parameter statistics tables for each flood event; and solving the dynamic equations based on reservoir storage and underlying surface conditions simultaneously. This invention relies on real-time water level and real-time rainfall to dynamically calculate reservoir rainfall carrying capacity, thus improving the accuracy of reservoir rainfall carrying capacity calculation.

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 application discloses a long-term control method for cascade reservoirs based on long-series optimized scheduling sets, which comprises the following steps: establishing a restored data set, calculating reservoir storage influence, obtaining long-series restored inflow, performing optimized scheduling calculation according to the long-series restored inflow, and rolling determining the control water level and output of the cascade reservoirs according to the optimized scheduling scheme set; the application can obtain the long-term control water level and output plan of the cascade reservoirs, which has small scheduling risk, high multi-dimensional utilization target satisfaction degree, high reliability and conforms to the actual situation, and can be widely applied to production practice, especially the scheduling of large-scale cascade reservoir groups.

The invention discloses a productivity prediction method based on dynamic data constraint reservoir classification and a related device. The method comprises the following steps: dividing a PLT production logging test layer section into a plurality of liquid production contribution layer sections according to an analysis result of dynamic data of a plurality of wells subjected to PLT production logging; respectively determining a meter oil recovery index and a reservoir space type corresponding to the liquid production contribution interval; constructing a meter oil recovery index prediction model; determining the reservoir classification of the research strata series in the research well; and determining the productivity of the research well according to the reservoir classification and the predicted meter oil recovery index determined by the meter oil recovery index prediction model. The productivity prediction method based on dynamic data constraint reservoir classification disclosed by the invention has relatively high accuracy and good applicability, is convenient to popularize and apply, and effectively overcomes the defect that productivity evaluation cannot be performed or the productivity evaluation effect is poor under the condition that no DST test oil wells exist or few DST petroleum wells exist in the working condition.

The application provides a method for determining a scheduling mode of reservoir flood control storage capacity released in stages at the end of flood season, and relates to the technical field of reservoir scheduling. The method comprises the following steps: collecting and arranging basic data, including hydrological and meteorological data, information of flood protection objects downstream, and data of reservoir scheduling parameters; determining a release time of reservoir flood control storage capacity based on multiple factor conditions; determining a release discrimination index of reservoir flood control storage capacity according to water level characteristics of a flood control station; carrying out risk analysis and risk atlas drawing of reservoir flood control storage capacity release; and determining a recommended flood control storage capacity release scheduling mode according to the flood control risk atlas. The application determines the release time of reservoir flood control storage capacity and the corresponding discrimination index by comprehensively considering multiple factor conditions, and draws a downstream flood control risk atlas on the basis of flood regulation calculation, and finally determines the recommended flood control storage capacity release scheduling mode in stages, which is of great significance for flood resource utilization at the end of flood season, improvement of reservoir storage guarantee rate, guarantee of downstream flood control safety and water safety.

The present invention discloses a peak-shaving electricity price compensation method for hydropower participating in the scheduling of an integrated water, wind, and solar power system. The method comprises the following steps: S1: establishing a peak-shaving opportunity cost model for hydropower stations; S2: establishing a coordinated scheduling model for a water-wind-solar combined operation system under a peak-shaving electricity price compensation strategy based on the principle of prioritizing the consumption of new energy sources, and determining peak-shaving initiative constraints, reservoir water level constraints, reservoir storage capacity constraints, downstream flow constraints, output limit constraints, water balance constraints, ramp rate constraints, photovoltaic output limit constraints, wind power output limit constraints, and system power balance constraints; and S3: solving the model established in step S2 using an iterative solution method to obtain the paid peak-shaving range of the hydropower units. The method can quantify the opportunity cost of hydropower stations participating in peak-shaving cooperation, determine the maximum available peak-shaving depth of hydropower under different compensation prices, and evaluate the impact of different compensation prices on the economic and energy efficiency indicators of the units.

The utility model discloses a vegetable planting sunlight greenhouse which has the advantages that water is injected into a water storage bin, the water storage bin sinks through self weight to press a plastic frame of a water storage reservoir, the plastic frame of the water storage reservoir is fixedly connected with a first quick connecting rod, and the first quick connecting rod is connected with a second rotating shaft quick connector through a hinge to adjust the weight of the water storage bin. The self-weight of the first support and the self-weight of the second support are changed into downward pressure through the pressure angle of the taper foot, the first support and the second support are adjusted through the lifting rotating shaft, the greenhouse is locked through the lifting flange after adjustment is finished, then the greenhouse is fixed, and therefore the requirements for soil texture construction and soil are reduced. The water storage bin after water injection is changed into a prism, light can be effectively transmitted when the weather is good, energy is stored through the solar energy storage plate below the water storage bin, energy is provided for equipment in the greenhouse, light can be gathered when the sunlight is poor, clean energy such as the sunlight is fully utilized, and meanwhile a water source can be provided for a drip irrigation pipeline in the greenhouse.

The invention discloses a method for testing a relationship between mineralization degree and overburden natural gas breakthrough pressure. Comprising the following steps: selecting compact carbonate rocks as a test sample of a cover layer; carrying out saturation treatment on the test sample by using distilled water and the simulated formation water with different mineralization degrees to obtain a test rock sample; measuring the natural gas breakthrough pressure of the test rock sample based on a free hydrocarbon concentration method; and determining the influence of the mineralization degree on the natural gas breakthrough pressure of the test sample based on the natural gas breakthrough pressure of the distilled water and the simulated formation water corresponding to the test rock sample. And data support can be provided for cap breakthrough pressure research, cap sealing performance evaluation and oil and gas reservoir storage condition determination under the condition of salinized formation water.

The invention discloses a remote sensing image and DEM-based reservoir water storage capacity automatic estimation and correction method, which comprises the following steps: acquiring a remote sensing image and DEM data of a target reservoir or small reservoir, preprocessing the remote sensing image, and extracting a water body boundary; superposing the boundary line of the water body to DEM data of the target reservoir or small reservoir, extracting the boundary elevation of each pixel at the boundary of the water body, and obtaining the minimum value, the maximum value, the average value and the median value of the boundary elevation; according to the terrain gradient and the water body recognition confidence degree of each boundary pixel, the boundary pixel is weighted, and the boundary elevation and the weight of each boundary pixel are adopted to calculate the weighted water level; calculating the water storage capacity corresponding to the water level in the fifth step; adopting a Monte Carlo simulation method to obtain the confidence interval width and the standard deviation of the water storage capacity of the target reservoir or small reservoir; and inputting the confidence interval width, the standard deviation, all the water storage before Monte Carlo simulation and the corresponding water body area and water level into a trained machine learning model to obtain the corrected water storage of the target reservoir or pond dam.

The application relates to the technical field of digital processing, in particular to an intelligent data processing system for water conservancy projects, which comprises a data acquisition module, a water conservancy history analysis module, a water flow fluctuation analysis module, a history alarm analysis module, a multi-source data analysis module, an engineering construction analysis module and a reservoir capacity early warning module. The data acquisition module acquires historical water conservancy data, water conservancy project parameters and historical environment data, and also acquires real-time environment data and real-time hydrological data in a monitoring period. The water conservancy history analysis module constructs a water conservancy load index of the water conservancy project. The water flow fluctuation analysis module analyzes the runoff fluctuation state of a water source and improves the construction process of the water conservancy load index. The history alarm analysis module iterates the analysis process of the runoff fluctuation state of the water source. The multi-source data analysis module analyzes the abnormality of a reservoir water source. The engineering construction analysis module analyzes the engineering safety of the water conservancy project. The reservoir capacity early warning module early warns reservoir storage. The application effectively improves the efficiency of water conservancy project data processing.

The present invention provides a reservoir optimal scheduling method for scheduling plans, which relates to the technical field of reservoir multi-task coordination. The method includes randomly generating multiple groups of monthly power generation plans; calculating the available power generation water volume of the reservoir by calculating the initial reservoir storage; dynamically calculating the power generation water volume by using Newton interpolation method and improved Powell method; respectively calculating the ecological water supply volume, urban water supply volume and agricultural water supply volume; calculating the objective function for the power generation plans that meet the constraint conditions; in response to the comparison of power generation targets when the water shortage targets are equal, obtaining the global optimal and individual optimal power generation plans of each generation by comparing the objective function values; for reaching the maximum number of iterations, based on the global optimal and individual optimal power generation plans of each generation, obtaining the optimal power generation plan that meets the constraint conditions. The present invention solves the problem of mismatch between power generation plans and water supply plans in actual scheduling management.

This invention relates to the fields of water conservancy and hydropower construction and soil and water conservation, and discloses a ditch-type spoil heap, including a ditch, a spoil retaining dam, and an in-reservoir storage area. The spoil retaining dam is located downstream of the ditch, and the in-reservoir storage area includes a first storage area and a second storage area. The first storage area is located upstream of the spoil retaining dam and can be used for storing rocky spoil; the second storage area is located upstream of the first storage area and can be used for storing soil spoil. During spoil heaping, the upstream slope of the spoil retaining dam forms the first storage area for storing rocky spoil, and the upstream side of the first storage area forms the second storage area for storing soft clay spoil. This achieves large-capacity storage of soft clay, improves the space utilization rate of the spoil heap and the capacity for disposing of engineering spoil. By adopting a classified and zoned storage method, the risk of siltation and water environment deterioration downstream of the second storage area is reduced, thus controlling soil erosion at its source. This invention also provides a spoil heaping method.

The present application relates to the technical field of flood control optimal scheduling, in particular to a reservoir group flood control optimal scheduling method and system based on quadratic programming, the method comprising the following steps: according to the water conservancy facilities and hydrological elements in the basin, the system sorts out the spatial distribution of key nodes and their hydraulic connection, constructs a flood control scheduling topological network, and obtains a reservoir group flood control optimal scheduling topological graph; a reservoir group flood control optimal scheduling quadratic programming model is established according to the reservoir group flood control optimal scheduling topological graph; based on the MINOS library of GAMS, the least gradient method and quasi-Newton method are used to optimize and solve the reservoir group flood control optimal scheduling quadratic programming model. The present application couples the propagation of flood between reservoir groups in the mathematical equation set, avoids complex simulation sequential coding, is easy to model, has good universality, and the model is easy to seek an optimal solution, can balance the reasonable scheduling of the flood control capacity, peak shaving effect and reservoir storage capacity of the reservoir, and improve the accuracy and efficiency of flood regulation.

This invention relates to a method and system for water resource adaptation management with coordinated supply and demand in the context of climate change. Belonging to the fields of automatic control and electronic digital data processing, the method utilizes real-time sensing of climate prediction data and hydrological monitoring data, and dynamically adapts to changes in climate factors using inflow and demand correction models to achieve accurate prediction of future water resource conditions. The prediction results are then input into a control decision model to construct a multi-objective optimization problem aimed at balancing supply and demand and maximizing reservoir storage capacity. This problem generates coordinated supply and demand control commands for directly driving physical actuators. Finally, the commands are transmitted via a communication network to a control actuator network consisting of reservoir gates and pipeline valve groups, driving their execution and completing closed-loop control of the water resource system. This invention effectively improves the dynamic adaptability, robustness, and control accuracy of the water resource control system to climate change through climate correction, coordinated supply and demand optimization, and adaptive learning.

The invention discloses a water balance-based daily average flow calculation method, which comprises the following steps of: obtaining a drainage basin rainfall observation value, a runoff observation value and a reservoir water storage variable quantity, and calculating a drainage basin water content change and an evaporation value in combination with water balance; calculating to obtain the flow of regression and rainfall supplementation based on the flow increment caused by rainfall, and calculating to obtain the reference flow based on the change of the water content of the drainage basin; calculating the daily average flow according to the fading and rainfall supplementing flow and the reference flow; and obtaining a continuous rainfall observation value and a reservoir water storage variable quantity of the drainage basin in a set T day, calculating the evaporation capacity of the T day and the change of the water content of the drainage basin in the Tth day, and calculating the daily average flow of the future T day. The initial water content of the watershed is calculated according to rainfall, evaporation, reservoir water storage variation and other data in combination with water balance, the model applicability and precision are improved, the model uncertainty is reduced, and a solid support is provided for medium and small river hydrological forecasting.

The slope rail type water taking operation platform comprises a water taking pipe arranged on a slope, a plurality of sets of sliding rails and a traction device are arranged on the slope, the traction device is connected with a water taking structure through a traction rope, one side of the bottom end of the water taking pipe is closed, a plurality of sets of water inlets are formed in the water taking pipe, and baffles matched with the water inlets in a dismounting mode are arranged on the water inlets. By the adoption of the structure, the defect that an existing fixed pump station takes water in a positioning mode is overcome, and water level changes of water storage of a reservoir can be more flexibly adapted; the device can be flexibly adjusted on a slope, is convenient to maintain and overhaul and safe to operate, and reduces operation difficulty and cost; the device is stable and reasonable in overall structure, flexible and smooth in water taking butt joint, convenient to operate and high in practicability.

The invention discloses a hydroelectric medium and long term plan rolling compilation method, system and device and a medium, and the method comprises the steps: collecting multi-source data of a power system, and carrying out the preprocessing of the multi-source data, and obtaining standard data; constructing and solving a medium and long term power system optimization model based on the standard data, and outputting an annual unit start-stop plan and a reservoir capacity plan; taking the annual unit start-stop plan and the reservoir capacity plan as boundary conditions, constructing and solving a short-term plan stage optimization model, and outputting a weekly unit time sequence output plan; the fluctuation of loads and renewable energy sources is synchronously introduced based on a weekly unit time sequence output plan, and a short-term peak regulation stage optimization model is constructed and solved. According to the method, a complete constraint condition system including a water-electricity conversion relation, water balance, a unit output range and the like is set, so that an optimization scheme is ensured to conform to a physical law of a power system; and finally forming a power generation plan scheme considering safety, economy and clean energy consumption through a step-by-step refined optimization process.