115 results about "Reservoir storage" patented technology

The invention relates to the technical field of reservoir storage capacity measurement, in particular to a reservoir storage capacity measurement method and system based on remote sensing and point cloud data, and the method comprises the following steps: extracting a terrain surface point set based on input remote sensing image data and point cloud data, and calculating a three-dimensional coordinate value, a curvature value and a point density value of each point; and comparing and classifying curvature and density data in combination with the change of the reservoir boundary. According to the method, through comprehensive application of remote sensing image data and point cloud data, three-dimensional coordinates, curvature values and point density values are adopted to accurately extract topographic features, scientific division and feature description of sub-regions are achieved, refined three-dimensional grid parameters are generated through fitting and interpolation calculation, and the accuracy of the three-dimensional grid parameters is improved. The terrain modeling precision and the space geometry description capability of a complex area are improved, boundary node coordinates and normal vectors are dynamically adjusted, the grid continuity is optimized, the integrity of a boundary transition area is ensured, and the boundary complex volume is accurately described by adopting unit volume subdivision and boundary correction.

The invention relates to the technical field of reservoir storage capacity analysis, in particular to an intelligent reservoir storage capacity analysis method and system based on multi-source data fusion, and the method comprises the following steps: collecting ground water level sensor data, meteorological station data, LiDAR point cloud data and aerial image data, synchronizing the data through a unified timestamp, integrating the data, summarizing the integrated data, and carrying out the analysis of the reservoir storage capacity. And generating a comprehensive multi-source data set. According to the invention, through real-time updating and accurate tracking of daily reservoir capacity changes, the accuracy of reservoir capacity estimation is significantly improved, daily cumulative statistics of water level, rainfall and evaporation capacity data is integrated, dynamic and detailed management is promoted, seasonal changes and long-term trends of the reservoir water level are analyzed, and the reservoir capacity estimation accuracy is improved. The method can accurately reveal the direct effect of manual intervention and the influence of the manual intervention on the natural supply mode of the reservoir, can make a scientific decision based on a comprehensive data view, integrates short-term prediction and real-time data flow monitoring to enable an early warning system to quickly respond, and optimizes the efficiency and effectiveness of disaster management.

The invention discloses an intelligent reservoir scheduling system and method based on model-free adaptive control, belongs to the technical field of water conservancy scheduling, and can solve the problems that time and labor are consumed when a precise model is established in a traditional scheduling system, the risk of model failure exists, and quick response cannot be achieved in the face of sudden hydrological changes. The system comprises a data acquisition module used for acquiring real-time hydrological data of a reservoir; the data storage module is used for storing historical hydrological data of the reservoir; the scheduling strategy determination module is connected with the data acquisition module and the data storage module, and is used for determining a scheduling strategy of the reservoir by using a model-free adaptive control algorithm according to the real-time hydrological data and the historical hydrological data; and the scheduling execution module is connected with the scheduling strategy determination module and is used for scheduling the reservoir according to the scheduling strategy of the reservoir. The method is used for intelligent scheduling of the reservoir.

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 discloses a method for exploiting coal bed gas by using an underpressure coal reservoir horizontal well group, which comprises the following steps that the horizontal well group is arranged, the horizontal well group comprises a preset number of horizontal wells, each horizontal well comprises a horizontal well section, and each horizontal well section is positioned in a coal reservoir of the same series of strata; each horizontal well section is divided into a plurality of fracturing sections with preset lengths, and perforation positions are selected in each fracturing section for perforation to form fracturing points; fracturing construction is carried out on each fracturing section, the fracturing construction comprises a liquid injection and energy charging fracturing stage and a main body fracturing stage, in the liquid injection and energy charging fracturing stage, a first part of liquid is injected into the coal reservoir through fracturing points at preset displacement and preset construction pressure so as to fill natural fractures and cleats of the coal reservoir, and in the main body fracturing stage, a second part of liquid is injected into the coal reservoir through the fracturing points at preset displacement and preset construction pressure so as to fill the natural fractures and cleats of the coal reservoir. Injecting a second part of liquid into the coal reservoir through the fracturing point to form an artificial fracture in the coal reservoir, wherein the preset construction pressure does not exceed the formation fracturing pressure of the area where the horizontal well group is located; and after fracturing of all the fracturing sections is completed, coal bed gas exploitation is conducted.

The invention relates to the technical field of landslide geological recognition, in particular to a reservoir water storage period wide-area landslide geological disaster rapid recognition method, which comprises the following steps: acquiring SAR data and DEM data of a target area covered by a reservoir water storage period; performing baseline estimation according to the SAR data acquired in the same target area at different times, and removing long baseline data to obtain a short baseline data set; performing differential interference processing on the short baseline data set based on external DEM data to obtain a differential interference result; mutual verification is carried out on interference pair combinations corresponding to the multi-period differential interference results of the same main image or adjacent time periods by using the short baseline data set, and potential hidden danger points of the reservoir area are determined; and performing field verification on the potential hidden danger points of the reservoir area by using an unmanned aerial vehicle aerial photography technology, and determining landslide disaster points. According to the invention, sudden landslide disaster points caused by water level changes can be found quickly, efficiently and accurately.

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 utility model discloses efficient polishing equipment for glass fiber reinforced plastic storage tank production, which comprises a base, a fixing part is arranged in the center of the base, mounting columns are arranged at the top of the base, first screws are arranged in grooves on opposite sides of the two mounting columns, the top ends of the first screws penetrate through the tops of the mounting columns, and belt pulleys are sleeved on the first screws. The two belt wheels are connected through a belt, the upper end of one first screw rod is connected with the output end of the second motor, the first screw rods are sleeved with lantern rings, a movable plate is arranged between the two lantern rings, and a grinding component is installed on the movable plate. The glass fiber reinforced plastic storage tanks with different sizes can be fixed by arranging the adjustable fixing part, and the glass fiber reinforced plastic storage tanks with different heights and different sizes can be polished by adjusting the height of the polishing part and the distance between the two polishing heads.

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 discloses a cascade reservoir capacity equivalent coefficient calculation method and system, and the method comprises the steps: collecting the data of a cascade reservoir in a research area, constructing two incoming water scenes based on typical year data, and obtaining a flood process; based on the incoming water scene, setting a combined dispatching rule, constructing a combined dispatching model, and carrying out combined dispatching calculation on the cascade reservoirs to obtain the water level, the in-out flow and the reservoir storage capacity of each reservoir; calculating a cascade reservoir capacity equivalent coefficient based on the water level, the in-out flow and the reservoir storage capacity of each reservoir; two scheduling scenes are constructed for the two incoming water scenes respectively, corresponding cascade reservoir capacity equivalent coefficients are calculated respectively, cascade reservoir combined flood control scheduling calculation is carried out, and the cascade reservoir capacity equivalent coefficients are verified. The flood control reservoir capacity equivalent coefficient is used for combined dispatching of the cascade reservoirs, the operation efficiency of the cascade reservoirs can be improved to a certain extent while flood control benefits of the cascade reservoirs are not affected, and the comprehensive benefits are improved.

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 invention discloses a reservoir flow unit multi-parameter division method based on CO2 flooding. The method comprises the following steps: S1, determining main influence factors of a flow unit according to oil reservoir storage characteristics of a CO2 drive reservoir; s2, classifying the influence factors determined in the step S1 by adopting an Euclidean distance in a pedigree clustering analysis method, and screening out relatively independent parameters as comprehensive evaluation indexes of flow unit classification; s3, calculating and counting a comprehensive evaluation index of each flow unit in the single well reservoir stratum; and classifying all flow units of the oil reservoir by using a K-Means clustering method, determining a comprehensive evaluation index boundary corresponding to a classification result as a unified standard for dividing the type of the flow unit in the whole CO2 drive oil reservoir area, and dividing the type of the flow unit in each reservoir of the whole CO2 drive oil reservoir by using the unified standard. According to the reservoir flow unit multi-parameter division method, the units with similar lithology and physical properties in the single-layer reservoir body can be divided into the same flow unit by integrating a plurality of influence factors.

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 utility model belongs to the technical field of non-pressure diversion tunnels, and particularly relates to a non-pressure tunnel structure suitable for water volume adjustment, which comprises a non-pressure tunnel, a plurality of reservoirs arranged at water flow positions at the bottom end in the non-pressure tunnel, turning plates arranged at the tops of the reservoirs, and hydraulic rods arranged at the bottoms of the turning plates. The two ends of the hydraulic rod are movably connected with the bottom of the turning plate and one side of the top end of the interior of the reservoir through the arranged movable connecting base, the multiple reservoirs are arranged in the non-pressure tunnel, the turning plate turning inwards is arranged on the tops of the reservoirs, then the bottom ends of the reservoirs communicate with the downstream of the interior of the non-pressure tunnel, a drainage sluice is used for controlling, and therefore the non-pressure tunnel is formed. When the water flow in the non-pressure tunnel is too large or too small, control over the water flow can be achieved by opening and closing the turning plate and the drainage sluice, part of water is collected into a plurality of reservoirs, or water in the reservoirs is discharged out of the flow guide pipes, and therefore it is guaranteed that the water yield at the water outlet is stable.

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 invention discloses a hydroelectric generating set output control method and system for maximizing the wind-solar priority matching quantity and minimizing the agency electricity purchase price fluctuation and a medium. The method comprises the following steps: firstly, calculating the minimum and maximum generated power of a hydroelectric generating set in a decision period; the maximum value of the transaction power and the minimum generation power of the hydroelectric generating set is selected as the output value of the hydroelectric generating set in the first round of iteration from the transaction electric quantity and the transaction power of the proxy electricity purchase year-month transaction decomposition to the decision period; respectively establishing a wind-light priority matching quantity calculation model and an agent electricity purchasing price calculation model to calculate a wind-light priority matching quantity and an agent electricity purchasing price; calculating an electric power system economic and technical comprehensive evaluation index corresponding to the output value of the hydroelectric generating set; and iteratively calculating evaluation indexes corresponding to a series of hydroelectric generating set output values, screening an optimal evaluation index, and controlling the gate opening of the reservoir based on the corresponding hydroelectric generating set output and the storage and discharge flow of the reservoir. The method can effectively increase the wind and light priority matching amount, and reduces the price fluctuation of agent electricity purchase.

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.