432 results about "Reservoir capacity" patented technology

The invention provides a pumped storage power station multi-element multi-target intelligent online site selection method and device and a storage medium. The method comprises the following steps: extracting a midpoint of each river network line segment as a candidate point to construct a candidate point set # imgabs0 #; the set # imgabs3 # is screened according to the water diversion distance # imgabs1 # and the water head parameter # imgabs2 #, and a set # imgabs4 # is obtained; verifying the dam length, the dam height, the reservoir capacity and the reservoir surface form of the candidate points in the set # imgabs5 # by using a multi-target constraint model to obtain a set # imgabs6 #; a candidate point # imgabs8 # is selected from the set # imgabs7 #, a candidate point # imgabs11 # matched with the candidate point # imgabs10 # in the set # imgabs9 # is screened out, and a set # imgabs12 # is obtained; and obtaining a candidate point, which is optimally matched with the candidate point # imgabs14 #, in the set # imgabs13 # through suitability analysis. The pumped storage power station online site selection method is optimized from the aspects of site selection efficiency, reservoir capacity calculation, homogeneous site optimization, site comprehensive evaluation and the like.

The invention discloses a pumped storage power station development potential evaluation system based on reservoir geographic characteristics, and relates to the technical field of pumped storage power station site selection planning, and the method comprises the steps: obtaining the dam data and satellite remote sensing topographic data of a built reservoir, and screening the built reservoir as a lower reservoir of the pumped storage power station according to the reservoir capacity; for mountain land and flat land terrains, searching stations around a lower reservoir as an upper reservoir of the pumped storage power station according to the topographic data of the built reservoir dam; estimating the potential reservoir capacity and energy storage capacity of the upper reservoir, and calculating and developing the theoretical potential of the pumped storage power station; and excluding human activity areas, traffic facilities and water limited areas, and calculating and developing the achievable potential of the pumped storage power station. According to the method, technical support is provided for the development mode of the pumped storage power station in which the upper reservoir is additionally built based on the built reservoir in the large spatial scale, the problems that a traditional potential evaluation method is limited by a single terrain and low in efficiency are solved, and sustainable development of the pumped storage power station is promoted.

The invention discloses an agricultural and pastoral area water network regulation and storage project scale determination method and system. The method comprises the following steps: collecting historical data of an agricultural and pastoral area, dividing the agricultural and pastoral area into a plurality of secondary sub-areas, respectively calculating the water demand and available water consumption of each secondary sub-area, and identifying a water shortage time period and a water shortage area; constructing a regulation and storage project layout scheme set, and calculating the regulation and storage capacity and project parameters of each regulation and storage project; constructing a single-target optimization model, simulating a regulation and storage result of each regulation and storage project layout scheme, evaluating each regulation and storage project layout scheme, and screening out an optimal regulation and storage project layout scheme; and constructing an irrigation scheduling optimization model based on the optimal regulation and storage project layout scheme, solving the model to dynamically optimize and adjust the water storage time, the water discharge time and the water discharge amount of the regulation and storage project, and generating an agricultural and pastoral area water network regulation and storage project layout scheme. The water resource utilization efficiency of agricultural and pastoral areas is improved, the water resource supply and demand contradiction is relieved, and sustainable development of agriculture and animal husbandry and ecological environment improvement are promoted.

The invention discloses a grating dam safety evaluation and design method and structure based on debris flow blocking degree. Wherein the safety assessment method comprises the following steps: S100, calculating the safety of the debris flow on the basis of the solid matter concentration of a debris flow susceptible area, the particle size value corresponding to the accumulated content of 95% in a full particle size grading curve, the channel average gradient, the channel average width and the primary debris flow scale in the section range of the grating dam, the minimum particle size value of the maximum boulder in the drainage basin and the opening width of the grating dam; calculating a critical blocking judgment coefficient according to the correlation value of the height of the grating dam, the angle of the wedge-shaped structure and 60 degrees and the correlation value of the total amount of debris flow solid substances and the reservoir capacity of the wedge-shaped beam type grating dam; and S200, evaluating the safety of the grating dam based on the critical blocking discrimination coefficient. The evaluation and design method and structure incorporate the relative relation between the debris flow scale and the dam body storage capacity, meanwhile, the influence on active structure parameters such as wedge-shaped flow guide is quantified, and the blocking state prediction accuracy of the grating dam in actual operation is improved to a certain degree.

A method for reducing the danger of a dammed lake formed by a debris flow blocking a river, comprising: first predicting the accumulation range of a river-blocking debris dam during occurrence of a debris flow, dividing a river boundary into multiple areas on the basis of the elevation, and then performing roughness reduction treatment on the areas of the river boundary during a dry season. The present method reduces the roughness of a river boundary within the accumulation range of a river-blocking debris dam, so as to reduce the opposite bank dam height of the river-blocking debris dam and the storage capacity of the dammed lake, thereby achieving the purpose of reducing the danger of dammed lakes formed by debris flows and reducing the impact of debris flow disasters.

A cascade reservoir optimization dynamic control method based on different scheduling objectives of flood season staging comprises the following steps: step 1, performing flood season staging on a cascade reservoir based on rainstorm flood characteristics, and establishing a pre / main flood season'flood control-power generation 'and post flood season'flood control-water storage' optimization scheduling model; step 2, constructing a cascade reservoir dynamic control domain; step 3, based on the flood season staging result in the step 1 and the cascade reservoir dynamic control domain constructed in the step 2, constructing an optimization model taking the maximum cascade generating capacity and the minimum flood control risk as targets; setting constraint conditions of the optimization model; and solving the optimization model through a multi-target intelligent optimization algorithm to obtain a dynamic scheduling scheme. According to the method, optimal scheduling methods such as flood season staging and'aggregation-decomposition 'are adopted, flood control risks of drainage basin reservoir group scheduling are fully considered, and efficient utilization of cascade reservoir water resources is realized by utilizing a cascade reservoir flood control capacity complementation mechanism.

The invention discloses a cascade power station scheduling parameter access and influence factor prediction method, and relates to the technical field of power station scheduling, and the method comprises the following steps: obtaining the operation parameter data of each cascade power station, including but not limited to flow, output, storage capacity and water level; multi-dimensional impact factor data related to power station dispatching is collected, and impact factors comprise meteorological data, geographic data and hydrological data. According to the method, the reservoir level is accurately predicted through multi-source data fusion and deep learning, prediction errors are reduced, scheduling is optimized, and extreme meteorology is especially coped with. A feedback adjustment mechanism is introduced to reduce abandoned water and improve water and electricity utilization efficiency and power grid flexibility. By combining an intelligent optimization algorithm and deep reinforcement learning, a scheduling scheme is dynamically adjusted, the utilization of hydroelectric resources is maximized, the safety of a power grid is ensured, overload or insufficient supply is avoided, and the emergency response capability and stability of the power grid are enhanced.

The present invention provides a method for linearizing the output function of a hydropower station based on rectangular grids, comprising: taking a binary function between the upper and lower limits of the permissible range of the average storage capacity of a reservoir period and the outflow flow as the output function of the hydropower station; equally dividing the feasible domain of the output function of the hydropower station into rectangular grids; defining a corresponding plane for each rectangular grid; constructing a quadratic programming model for calibrating the plane cluster parameters that approximate the output surface of the hydropower station based on the characteristic parameters of the plane; solving the quadratic programming model to obtain the parameters of a set of plane equations that approximate the optimal output of the hydropower station; in a reservoir optimization scheduling model whose scheduling target includes maximizing the output of the hydropower station or the power generation of the hydropower station during the scheduling period, using the parameters of the plane equations obtained by solving to construct a linearized expression of the hydropower output function in the reservoir optimization scheduling model. The present invention not only avoids the introduction of integer variables, improves the solution efficiency, but also ensures the accuracy of fitting the output of the hydropower station.

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 reservoir flood control optimization scheduling objective function construction method considering dynamic reservoir capacity influence, and belongs to the field of reservoir flood control scheduling, and the method comprises the steps: S1, taking a maximum peak clipping criterion as an optimization criterion, taking the change of wedge-shaped reservoir capacity into consideration when calculating the reservoir capacity change caused by the reservoir inflow and outflow flow according to a water balance principle, and taking the maximum peak clipping criterion as an optimization criterion; re-deducing a target function of the flood control optimization scheduling model of the river type reservoir considering the influence of the dynamic reservoir capacity; s2, according to the obtained objective function, constructing a new river-type reservoir flood control optimization scheduling model, and replacing a common water balance equation with a Saint-Venant equation set as a constraint condition of water balance; the invention provides the reservoir flood control optimization scheduling objective function construction method considering the influence of the dynamic reservoir capacity, the flood control optimization scheduling model for the river type reservoir is established based on the objective function deduced by the method, accurate simulation of flood control scheduling of the river type reservoir is realized, and then an accurate and reliable optimal scheduling scheme is obtained.

The invention provides a cascade reservoir sediment regulation and control method and device, computer equipment and a storage medium. The method comprises the steps that the sediment deposition process of a cascade reservoir in a prediction period is obtained; according to the sediment deposition process of the cascade reservoir in the prediction period, multiple groups of water and sediment amounts of the cascade reservoir in the prediction period are obtained; adopting a preset optimal segmentation method to select the combination of the optimal classification number of water and sediment volumes from the multiple groups of water and sediment volumes of the cascade reservoir in the prediction period to obtain a feature combination; and on the basis of a cascade reservoir sediment regulation and control model, solving each feature combination, and selecting an optimal sediment regulation and control scheme according to a solving result. The characteristic reservoir water amount, the characteristic reservoir sediment amount and the characteristic effective reservoir capacity combination are selected through a preset optimal segmentation method, the variation characteristic of the sediment regulation and control constraint condition of the cascade reservoir can be effectively solved, and the accuracy of an optimization algorithm is improved; the optimal sediment regulation and control scheme is obtained by solving the characteristic conditions based on the cascade reservoir sediment regulation and control model, and the scheduling optimization process is effectively simplified.

The embodiment of the invention provides a reservoir capacity dynamic monitoring method and system based on an unmanned aerial vehicle, and the method comprises the steps: obtaining a reservoir surface feature data set through the unmanned aerial vehicle, determining the boundary of a water area, scanning the bottom of the reservoir, obtaining the underwater terrain elevation and sediment distribution data, and constructing a three-dimensional terrain model; and determining terrain and deposit change data based on the three-dimensional terrain model dynamic change data of the continuous time sequence. Sedimentation space distribution characteristics are obtained through change rate analysis, and the sediment transportation amount and the sedimentation and deposition space rule are determined in combination with the water flow speed. Key driving factors are screened through correlation analysis, a sedimentation high-risk area is determined according to the key driving factors, and the change of sediments in the area is monitored, so that the change of the reservoir capacity is mastered. The reservoir siltation can be accurately and dynamically monitored, the high-risk area and the change mode are defined, the dynamic database is constructed to update the capacity change in real time, and important technical support is provided for reservoir management and flood control and disaster reduction.

The invention discloses a water level-reservoir capacity curve construction method and device based on a remote sensing image. The method comprises the following steps: collecting basic information of a reservoir, actually measured water level data, characteristic value data and a remote sensing image corresponding to the reservoir; matching a corresponding remote sensing image according to reservoir coordinates and actually measured water level data time, extracting reservoir water surface areas in a wet water period, a dry water period and a flat water period, and fitting the reservoir water surface areas with actually measured water level data to obtain a water level-area relation curve; based on the water level-area relation curve, calculating the dead water level area of the reservoir, and based on the dead water level area and the dead storage capacity, calculating the storage capacities of the reservoir in the wet season, the dry season and the flat season; and fitting to obtain a water level-storage capacity curve based on the storage capacity of the reservoir in the wet season, the dry season and the flat season and the actually measured water level data. According to the method, a new thought is provided for constructing the water level-storage capacity curve of the reservoir without data or with data difficult to obtain.

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 provides a productivity evaluation method for a tight gas reservoir horizontal well, and relates to the technical field of tight gas reservoirs, and the method comprises the following steps: obtaining well logging sensitive parameters and rock mechanical parameters of the tight gas reservoir horizontal well; based on the logging sensitive parameters and a comprehensive index model, comprehensive indexes corresponding to different reservoirs in the horizontal well are calculated; based on the comprehensive index, the logging sensitive parameter and the rock mechanical parameter, determining a geological dessert level and an engineering dessert level corresponding to the reservoir; and carrying out productivity evaluation on the horizontal well based on the geological dessert level and the engineering dessert level corresponding to the reservoir. Therefore, the geological sweet spots can be accurately identified based on different data dimensions through the comprehensive indexes determined by the logging sensitive parameters having great influence on lithology and the logging sensitive parameters, collaborative evaluation is performed through the geological sweet spots and the engineering sweet spots, the reservoir capacity and the transformation capacity of the reservoir capacity are considered at the same time, and the accuracy of capacity prediction is remarkably improved.

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 short-term scheduling method for a cascade hybrid pumped storage power station based on pump station addition, which comprises the following steps of: adding an energy storage pump station between cascade series hydropower stations, and dynamically drawing up a reservoir capacity constraint by adopting a reservoir capacity dynamic control strategy considering the cascade hybrid pumped storage power station; constructing a cascade hybrid pumped storage power station short-term scheduling model based on the added energy storage pump station, wherein the cascade hybrid pumped storage power station short-term scheduling model takes the minimum mean square error of the residual load of a power grid as a target; solving the scheduling model based on an improved step-by-step optimization algorithm POA; and a comprehensive risk-benefit evaluation system is constructed, multi-dimensional targets of a system scheduling level and a power station operation level are considered, and the influence of additionally arranging an energy storage pump station on the risk and benefit of the power grid is deeply analyzed. The method can be used for guiding daily scheduling of the cascade hybrid pumped storage power station based on the additionally-arranged pump station, wind and light abandoning phenomena are reduced to the maximum extent while safe and stable operation of a power system is guaranteed, and the absorption capacity of wind and light resources and the power supply reliability of the power system are improved.

The invention discloses a real-time monitoring method and system for dynamic water level and storage capacity of a reservoir based on GNSS-RTK (Global Navigation Satellite System-Real-Time Kinematic), and belongs to the technical field of environmental monitoring, environmental governance and computer control. The system comprises a power supply system, a water level monitoring system, a control system and a data storage and display system. The method comprises the following steps: selecting a plurality of fixed observation stations around a reservoir, installing a high-precision GNSS receiver, and carrying out real-time continuous observation on a mobile station in a reservoir area; data collected in real time is transmitted to a data processing center through wireless communication or the Internet; calculating the real-time water level of the reservoir according to the buoy position information in combination with the function relationship between the water level and the position; substituting the water level data measured in real time into a volume calculation formula, and calculating the real-time storage capacity of the reservoir; and storing the calculated water level and reservoir capacity data in a database, and displaying the data in real time by using visual software. The method has the advantages of high real-time performance, high precision, high comprehensiveness and the like, and is suitable for the field of reservoir management and operation.

The invention relates to a cascade reservoir flood control capacity collaborative optimization method and system based on a dynamic game, and belongs to the technical field of hydropower station group flood control regulation and storage. Comprising the following steps: collecting a historical water level sequence, upstream flood discharge flow, drainage basin rainfall confluence data, radar flow measurement data, dam body stress indexes and dynamic correlation parameters of a cascade reservoir group, inputting the collected data into a space-time risk field model, and constructing a space-time risk field; constructing a game model based on the space-time risk field, taking an upstream reservoir as a leader to formulate a reservoir capacity allocation strategy, taking a downstream reservoir as a follower to dynamically adjust a flood discharge scheme according to the leader strategy, and coordinating a flood control target and an economic target through a time-varying game weight; solving the game model by adopting an improved distributed ADMM optimization algorithm to generate a scheduling instruction, and verifying the legality of the scheduling instruction through a block chain smart contract; and pre-executing the scheduling instruction in the digital twin simulation platform, dynamically calibrating the mapping parameters of the physical reservoir and the virtual mirror image through reinforcement learning, generating a final scheduling instruction, and issuing and executing the scheduling instruction.

The invention discloses an analysis method and system for reservoir group sediment collaborative scheduling and space-time simulation. The method is based on a water-sediment coupling simulation model integrated based on collaborative desilting schemes: setting a simulation scene, and setting a collaborative scheduling scheme combination; executing long-series dynamic simulation, and simulating the dynamic response of the reservoir group under the combined action of the water and sediment input and the scheduling scheme; outputting a time sequence result, a spatial distribution result and a morphological evolution animation; defining a multi-objective optimization function, automatically adjusting key parameters in the scheduling scheme by adopting a multi-objective optimization algorithm, and searching a Pareto optimal solution set; and based on the Pareto optimal solution set, selecting a final scheduling scheme according to a preset decision, and outputting a specific scheduling instruction. According to the method, the space-time evolution and the desilting benefit of the siltation form under different scheduling schemes are accurately quantified, the method has engineering feasibility and can be suitable for collaborative desilting, reservoir capacity maintenance and comprehensive benefit improvement of cascade reservoirs, the engineering life is prolonged, and regulation and control of water and sediment in a drainage basin are optimized.

The invention provides an automatic operation control method for a low-dam hydropower station. The method comprises the following steps: preprocessing collected water level and incoming water flow data; a reservoir capacity dynamic calculation model is constructed in combination with the reservoir capacity curve graph and the water level flow data, and dynamic updating of reservoir capacity data is achieved; historical hydrological data, current water level flow and reservoir capacity data are fused to train a machine learning model, and the reliability of short-term inflow prediction is improved; based on the safe operation threshold value, the reservoir capacity data and the incoming water prediction result are input into a multi-objective optimization algorithm, a generator set power adjustment strategy and a flood discharge gate opening degree regulation strategy are automatically generated, and the generator set operation power and the flood discharge gate opening degree are automatically controlled, so that the problems that in the prior art, a low-dam hydropower station is low in automation degree and high in efficiency are solved. And manual adjustment is relied on.

The invention discloses a double-layer optimization method and system for real-time flood control scheduling of a series reservoir group. The method comprises the steps that the maximum feasible impounding boundary of each time period is calculated based on the discharge capacity and storage capacity constraint of each reservoir; constructing a space-time risk response kernel matrix, encoding lag response and attenuation intensity of flood routing, constructing a dynamic risk potential energy index in combination with real-time reservoir capacity, and solving space distribution water quantity of each reservoir by taking minimization of the index as a target under physical boundary constraint; the space distribution water quantity is used as a guide target, an evolutionary algorithm embedded with a physical consistent projection operator is adopted, and iterative optimization is carried out on hourly output flow of each reservoir. According to the method, through matrix coding of the space-time risk and introduction of manifold projection solution, the problem that upstream and downstream hydraulic space-time coupling and strong physical constraint are difficult to solve is effectively solved, and the physical consistency and peak clipping efficiency of a scheduling scheme are improved.

The invention provides a water conservancy project storage capacity curve generation method and device and a storage medium, and belongs to the technical field of reservoir water storage monitoring. The method comprises the steps that a reservoir area three-dimensional model is constructed based on three-dimensional topographic data, and closed submerged areas corresponding to all elevations are generated through a parameterization algorithm in combination with the dam axis position and elevation parameters; then extracting a plane water level area corresponding to each elevation value, and calculating a layered reservoir capacity according to an elevation difference between adjacent elevations and a volume algorithm; and finally, accumulating all the layered reservoir capacities corresponding to the elevation values, generating a total reservoir capacity value corresponding to the elevation values, forming a discrete elevation-reservoir capacity data set, and generating a continuous hydraulic engineering reservoir capacity curve through least square fitting. According to the method, the reservoir capacity curve of the water conservancy project can be accurately and efficiently generated, and the calculation precision in a complex reservoir scene is remarkably improved.

The invention discloses a river and lake regulation and storage system flood routing intelligent forecasting method based on a dynamic storage and discharge relation, and the method comprises the steps: constructing a space-time dynamic association diagram structure which reflects the waterpower relation of a drainage basin, and mapping multi-source hydrological data to generate a model input set with a unified space-time scale; establishing an aggregation reservoir parameterized structure model which comprises a dynamic water level-reservoir capacity relation driven by inflow change characteristics and a composite water level-flow relation integrating a time lag effect and backwater jacking feedback; constructing a flood regulation calculation equation set, and according to the real-time delay state in the composite relationship, adopting an adaptive solution mechanism to switch among different algorithm channels so as to solve the equation set; and correcting the model state by using the real-time observation data and executing rolling prediction. The method effectively solves the problems that in a complex river and lake system, dynamic characteristics of the storage and discharge relation are difficult to depict, the non-in-phase evolution process is unstable to solve, and high-dimensional parameters are difficult to calibrate, and the continuity and physical consistency of flood forecasting are improved.

The invention provides a reservoir water level real-time monitoring and early warning system and method based on the Internet of Things, and the method comprises the steps: extracting credible water level time sequence information from the water level monitoring data of a target reservoir dam body, and determining the potential risk intensity of the target reservoir dam body under the water level change according to a preset sliding time window in combination with the credible water level time sequence information; the potential risk intensity is input to a preset water level early warning unit, the water level early warning unit is synchronously connected into a reservoir capacity-pressure distribution diagram deduced by the hydrological model in real time, and a safe bearing boundary of the target reservoir dam body structure under the current water level is determined according to the reservoir capacity-pressure distribution diagram; determining a water level grading early warning value of the target reservoir dam body under the current water level according to the safety bearing boundary in combination with the potential risk intensity; and sending a water level grading early warning signal of the target reservoir dam body to a reservoir management terminal based on the water level grading early warning value. According to the technical scheme provided by the invention, water level grading early warning can be carried out under the time-varying risk caused by accumulative damage of the dam body structure of the reservoir.

The present invention relates to the technical field of sediment or sludge treatment of a water body, and provides a solidification material and a use thereof. The solidification material consists of the following components in percentage by mass: 30% of a sediment flocculant, 20% of a high-strength and high-water-resistant earth consolidator, 30%-40% of calcium bentonite, 5%-15% of a clay mineral, and 5% of an engineering admixture. When the solidification material is used in the sediment or sludge treatment of the water body, pollutants in sediments can be well immobilized, and as tested, no leaching of the pollutants occurs after immersion in the water body. Moreover, the usage amount of the solidification material is significantly reduced compared to that of a conventional solidification material, so that the impact on the storage capacity of the water body can be effectively reduced, and the construction cost is also saved.

The invention discloses an analogue simulation device for different types of oil reservoir reconstruction gas reservoirs and a reservoir capacity determination method. The analogue simulation device comprises a high-precision pump, an intermediate container, a high-temperature and high-pressure long core holder, an inlet gas-liquid metering and separating device, an outlet gas-liquid metering and separating device and a master controller, the main controller is respectively connected with the high-precision pump, the intermediate container, the high-temperature and high-pressure long core holder, the inlet gas-liquid metering and separating device and the outlet gas-liquid metering and separating device; the high-precision pump is communicated with the intermediate container through a conveying pipeline, and the intermediate container is communicated with the high-temperature and high-pressure long core holder through a conveying pipeline; the inlet gas-liquid metering and separating device is arranged at an inlet of the high-temperature and high-pressure core holder, and the outlet gas-liquid metering and separating device is arranged at an outlet of the high-temperature and high-pressure core holder. The device has the advantages and positive effects of improving the construction efficiency of the gas storage, enhancing the oil and gas exploitation efficiency, enhancing the experiment safety, improving the experiment precision, visualizing the experiment data and the like.

The invention belongs to the technical field of hydroelectric energy optimization scheduling, and particularly discloses a dimension reduction-based cascade reservoir medium-and-long-term scheduling method and device, and the method comprises the steps: obtaining the storage capacity process data of each hydropower station in a target cascade reservoir; aggregating the reservoir capacity process data of each hydropower station; on the basis of the aggregated reservoir capacity process data, with the aim of minimizing the distance between the sample point and the reservoir capacity distribution segmentation curve, constructing an unconstrained quadratic programming model, and solving the unconstrained quadratic programming model to obtain an optimal reservoir capacity distribution segmentation curve; and scheduling each hydropower station based on the optimal storage capacity distribution segmentation curve. According to the method, the problem of curse of dimensionality in cascade reservoir dispatching can be avoided, and the complexity of cascade reservoir dispatching is reduced.

The invention relates to the technical field of underground hydrology monitoring, and discloses an underground reservoir capacity prediction system capable of monitoring the water level of a drill hole in real time, which is suitable for dynamic capacity prediction and over-mining early warning management of a layered pore type underground reservoir. The data acquisition module is used for acquiring underground water level, water quality parameters, replenishment amount environment temperature and humidity, water pressure and geological vibration data in real time through multiple types of sensors; the Internet of Things platform is in communication connection with the data acquisition unit and is used for preprocessing and transmitting the data acquired in real time; the visualization unit is connected with the data acquisition unit and the Internet of Things platform and is used for constructing and rendering a three-dimensional twinborn body of the underground reservoir; and the system function unit is connected with the data acquisition unit, the visualization unit and the Internet of Things platform, and is used for performing intelligent analysis, water level prediction model generation, user side interaction control and system resource management on the preprocessed real-time acquired data. The hysteresis problem of traditional manual monitoring is solved, and the timeliness of monitoring is improved.