403 results about "Flood discharge" patented technology

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

The invention provides a hydro-junction water level adjusting method and system. Wherein the sediment deposition space-time atlas containing the sedimentary gradient is constructed and periodically corrected through scanning of an underwater robot and synchronous acquisition of satellite remote sensing data. A radar array is deployed at a bend section of a flood discharge channel, and vector distribution of a three-dimensional sediment flow velocity field is analyzed by using multi-frequency pulse signals. Through correlation analysis of the dynamic coupling sedimentary gradient and the flow velocity field, a correlation area of flow velocity sudden change and sediment deposition is accurately identified, and a constraint condition set including coordinate positioning and a flow-sediment matching rule is established. And in combination with real-time water level monitoring data, calculating and generating a dynamic adjustment parameter sequence of the opening degree of the flood discharge gate by using a constraint condition set, thereby realizing accurate regulation and control of the water level. According to the technical scheme, the flood discharge parameters are intelligently optimized, the water level of the hydro-junction can be accurately regulated and controlled, the sediment deposition problem of a high-sediment-content water area is effectively relieved, and safe operation and flood control efficiency of the junction are guaranteed.

The invention relates to the technical field of flood discharge tunnel detection, and discloses a flood discharge tunnel automatic inspection and erosion defect intelligent detection method. The method comprises the following steps: acquiring structural state data in the flood discharge tunnel and performing standardization processing; dividing standard classification data according to preset hydrological working condition intervals, and extracting multi-modal sensing features of each interval to generate a working condition feature set; monitoring the switching frequency of the hydrological working condition interval, and activating a dynamic analysis strategy to identify an abnormal working condition interval when the switching frequency exceeds a preset threshold value; performing feature decoupling on the working condition feature set of the non-abnormal working condition interval according to the matching degree of the historical erosion stage feature and the current multi-mode sensing feature, and separating out an erosion feature subset; on the basis of coupling relevance of mechanical parameters and hydraulic parameters of the tunnel structure, parameter collaborative correction is carried out on the erosion feature subset; and finally, reversely tracing a potential defect source region along a defect evolution path by utilizing the corrected erosion feature subset, determining a repair priority and outputting a maintenance instruction.

The invention discloses a hydraulic engineering data intelligent monitoring method and system based on digital twinning, and the method comprises the steps: comprehensively considering the actual physical structure, operation parameters and surrounding environment information of a hydraulic engineering when a hydraulic engineering digital twinning model is constructed, and breaking through the limitation that a conventional monitoring means only pays attention to a single parameter or a few parameters; model association data is utilized and visualized display is carried out, management personnel can visually check states and parameter changes of all parts, the monitoring efficiency and comprehensiveness are improved, and the limitation that a traditional monitoring means lacks effective analysis and mining is solved. A risk assessment formula is adopted to convert data into risk indexes, so that managers can visually know the safety condition, when a risk assessment value exceeds a threshold value, the risk development trend and consequences are simulated and analyzed in combination with a model, problems and risks are found in advance, early warning is triggered, and related personnel can formulate response measures such as flood discharge flow adjustment and structure reinforcement according to simulation results. Disaster loss is reduced, and the safety and reliability of hydraulic engineering are improved.

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

The invention relates to the technical field of hydraulic engineering safety monitoring, in particular to a safety monitoring method and system for a flood discharge and sand flushing service gate. The method comprises the steps that a super-strong permanent magnet sensor is installed on an underwater flood discharge and sand flushing service gate, and the magnetic attraction strength of the super-strong permanent magnet sensor is controlled according to real-time water flow; when the real-time water flow is larger than the preset water flow high threshold value, the magnetic attraction strength is enhanced; if the water flow is lower than the preset water flow high threshold value, the magnetic attraction strength is recovered to the standard magnetic attraction value; the ultra-strong permanent magnet sensor monitors vibration state data and dynamic stress data of each structure in the operation process of the underwater flood discharge and sand flushing service gate; obtaining a rigidity evaluation value and a dynamic stress safety evaluation value of the underwater flood discharge and sand flushing service gate; and performing evaluation in combination with the characteristic data in the operation process of the underwater flood discharge and sand flushing service gate to obtain the safety coefficient of the current underwater flood discharge and sand flushing service gate. The stability of the gate is dynamically enhanced, the magnetic attraction strength is matched with water flow impact in real time, and high-flow-speed loads are effectively resisted.

The invention relates to the technical field of reservoir flood control dispatching, and discloses a dam hydraulic opening and closing control method, device and equipment and a storage medium. The method comprises the steps that multi-source hydrological data, weather forecast information and unit operation states of a current reservoir are collected; inputting the multi-source hydrological data and the weather forecast information into a preset hydrological prediction model, and outputting a hydrological prediction result; based on the hydrological prediction result and the real-time reservoir area water level and the unit operation state in the multi-source hydrological data, a gate opening control instruction is generated through a reservoir optimization scheduling model; and a hydraulic opening and closing system is adjusted according to the gate opening control instruction, and the current reservoir flood discharge gate opening is controlled. According to the method, data such as upstream incoming water, reservoir area water level and water consumption are utilized, weather forecast information is combined, a hydrological prediction model is constructed, a reservoir dispatching scheme is optimized according to a hydrological model prediction result, the reservoir area water level and unit operation conditions, and on the premise that flood prevention safety is guaranteed, reservoir dispatching is optimized, the reservoir area water level is automatically adjusted, and power generation benefits are improved.

The invention discloses a distributed flood forecasting scheduling model construction method based on sub-basins, particularly relates to the technical field of flood forecasting model optimization, and is used for solving the problem of local prediction failure due to spatio-temporal differences caused by neglecting parameter sensitivity of an existing flood forecasting model. A target drainage basin is divided into sub-drainage basins, hydrological and geographic feature parameters are extracted, and a cross-drainage-basin water conservancy facility topology network is constructed to dynamically correct river channel evolution boundary conditions; quantifying parameter sensitivity spatial diversity based on a Sobo index method, identifying a sensitive abnormal response region in combination with historical flood event distribution, and applying spatial lag correction through a river topology network to generate parameter sensitivity grade classification; constructing a dynamic weight matrix, and performing partition parameter calibration by adopting global optimization and local adjustment strategies respectively; and the hydraulic equilibrium constraint of the calibration result is verified based on the river topological relation, and a partition and grading flood discharge scheduling scheme is generated after iterative correction, so that the forecasting capability in a sudden flood scene is remarkably improved.

The invention provides a flood control risk identification and early warning system and method for a reservoir group, and belongs to the technical field of flood prevention and fighting. According to the method, a standard data set is generated by collecting rainfall, reservoir water level, flood discharge flow and landform data and performing data processing. And based on the standardized data set, constructing a hydrological model of the reservoir group in combination with GIS data, simulating flood discharge capacities under different rainfall scenes, calculating a flood discharge capacity index, a flood control risk index, a downstream vulnerability index, an upstream flood formation index and a midstream flood propagation index, and carrying out weighted fusion to generate a comprehensive risk index. And according to comparison between the comprehensive risk index and preset low, medium and high early warning threshold values, determining a current risk level and issuing early warning information. Meanwhile, user feedback is received, and model parameters and an early warning strategy are dynamically adjusted. According to the invention, through a multi-source data fusion technology, a deep learning algorithm and a dynamic feedback mechanism, accurate identification and timely early warning of the flood control risk of the reservoir group are realized.

The invention discloses a water level monitoring system based on flood discharge gate control, and relates to the technical field of flood discharge gate control, and the water level monitoring system comprises an upstream water level monitoring module, a downstream water level monitoring module, a gate discharge monitoring module, an early warning terminal and a database. Analyzing a water level future coefficient corresponding to the upstream end of the reservoir, judging whether the reservoir needs to open a gate for flood discharge or not, and analyzing to obtain a gate opening width corresponding to flood discharge of the reservoir, and analyzing to obtain a gate opening width corresponding to development of the downstream end of the reservoir when no flood occurs at the upstream end of the reservoir; meanwhile, the state of the reservoir gate during flood discharge is known, and whether adjustment is conducted or not is analyzed, so that safe reservoir flood discharge is achieved, ecological safety is guaranteed, efficient and accurate flood discharge is achieved, it is further guaranteed that surrounding development obtains effective water source support, and reasonable allocation of water resources and efficient utilization of the resources are achieved.

The invention relates to the technical field of flood discharge gate equipment, in particular to a flood discharge gate equipment operation fault diagnosis method, which comprises the steps of extracting and fusing first target data; analyzing and calculating the extracted and fused first target data, and generating second target data; and inputting the second target data into a historical database for calculation, and verifying the operation state of the gate equipment. The method has the beneficial effects that a multi-source heterogeneous data fusion technology is utilized, various internal parameters such as structural stress, deformation and vibration characteristics as well as hydraulic hoist system pressure, radial gate online vibration monitoring signals and water temperature signals are comprehensively considered, so that the actual operation state of equipment is more comprehensively reflected, the fault diagnosis accuracy is remarkably improved, and the fault diagnosis efficiency is improved. Key parameters during flood discharge of the arc-shaped service gate are monitored in real time, the state change of equipment is quickly responded, and the real-time performance of fault detection is enhanced.

The invention provides a hydraulic engineering water level monitoring method and system based on artificial intelligence. Meteorological parameters and soil humidity parameters of a cross-basin reservoir group and water level measurement parameters generated by magnetic levitation displacement induction are obtained, dynamic change rules of the parameters are analyzed, and a correlation strength coefficient reflecting the hydraulic interaction between reservoirs is calculated. And the coefficient and a water level measurement parameter are jointly coded, and a cross-reservoir dynamic association map is constructed. And synchronously acquiring real-time water level signals of each reservoir, matching the real-time water level signals with a preset fluctuation feature library, and identifying a water level abnormal interval related to the water flow path node. And in combination with a mapping relationship between the dynamic association map and the abnormal fluctuation interval, determining a water level imbalance risk level, and generating regulation and control instructions including flood discharge path optimization and water storage capacity adjustment according to the water level imbalance risk level. According to the technical scheme, the water level monitoring efficiency and accuracy of the water conservancy project can be improved.

The invention discloses a cascade reservoir flood control water level combined application scheduling method and scheduling system, and relates to the technical field of cascade reservoir scheduling, and the method comprises the following steps: dividing into a plurality of sub-regions according to an administrative region, determining a sub-reservoir corresponding to each sub-region, and collecting the rainfall and historical flood discharge data; analyzing the water storage capacity of each sub-region at the moment corresponding to the historical data to form a training data set; constructing a flood season flood discharge prediction model, and obtaining the target flood discharge flowing into the sub-reservoir by using the prediction model; analyzing the water level change in the flood season according to the target flood discharge amount, and judging whether scheduling is needed; and if scheduling is needed, determining a drainage flow combination of each sub-reservoir, setting a constraint condition, and performing optimization through a multi-target genetic algorithm to obtain an optimal drainage flow scheme meeting constraints. According to the scheme, the scientificity, the accuracy and the intelligent level of combined dispatching of the cascade reservoirs are remarkably improved.

The invention relates to a water conservancy facility internet of things real-time monitoring method and device, equipment and a medium. The method comprises the following steps: acquiring water quality and quantity data, comparing the data with a preset safety threshold to generate a preliminary abnormal point location set, and processing through a sliding window algorithm and a historical time sequence model to generate a standardized abnormal report; generating an initial control command through the edge-deployed pruning LSTM model in combination with rainfall prediction data, and generating an equipment operation instruction after verification; executing the instruction to drive the equipment and collecting the response state of the equipment, and resolving conflicts through a Raft algorithm to generate a unified scheduling command; and after the unified scheduling command is executed, the model parameters and the preset safety threshold are updated through a Q-learning optimizer according to the flood discharge quantity feedback data. According to the method, real-time monitoring and intelligent regulation and control of the water conservancy facilities are achieved through data processing, intelligent decision making, collaborative scheduling, dynamic optimization and the like, and the safety, stability and intelligent level of operation of the water conservancy facilities are effectively improved.

The invention discloses a flood discharge gate structure dynamic load time domain rapid identification and dynamic response field inversion method comprising the following steps: 1) carrying out a vibration test of a flood discharge gate structure, and obtaining a multi-source vibration response signal of the flood discharge gate structure; 2) constructing a unit impulse response matrix H and a load shape function matrix N; 3) establishing an inverse analysis model X = HNA for dynamic load time domain identification of the flood discharge gate structure; 4) inversely solving the load shape function coefficient matrix A to obtain a dynamic identification load of the flood discharge gate structure; and 5) inputting the identification load as an external load of the sluice structure to obtain an overall dynamic response field of the sluice structure.The method is based on the multi-source actual measurement vibration response of the sluice structure, the improved dynamic load time domain identification method based on the shape function is adopted, the time domain load of the sluice structure can be rapidly and effectively identified, and the identification accuracy is high.

The invention provides a method for analyzing deformation characteristics of an exit slope of a flood discharge building, which comprises the following steps of: firstly, collecting geotechnical parameters, hydraulic load parameters, GNSS displacement, pore water pressure and clinometer data of the slope; then, constitutive parameters of the slope stability model are dynamically corrected, GNSS displacement is decomposed into creep and elastic displacement components, and the time delay error of pore water pressure data is compensated; thirdly, seepage-stress coupling stability calculation is conducted in combination with the compensated pore water pressure and inclinometer data, and the slope stability safety coefficient is obtained. And finally, outputting the creep displacement, the elastic displacement and the stability safety coefficient to an early warning terminal. According to the invention, the accuracy and reliability of slope stability evaluation can be improved.

The invention relates to the technical field of slope seismic resistance, and discloses an engineering slope seismic stability optimization method and system, and the method comprises the steps: collecting flood discharge tunnel outlet slope data and seismic oscillation parameter values, and carrying out the partitioning according to the flood discharge tunnel outlet slope general situation data; analyzing rock mass weathering and unloading and physical geology phenomena in each area to obtain physical mechanical parameter suggestions; establishing a three-dimensional model of the flood discharge tunnel outlet slope based on the physical and mechanical parameter suggestions and the seismic oscillation parameter values; inputting the non-uniform seismic dynamic load into the three-dimensional model of the flood discharge tunnel outlet slope for analog calculation; establishing a side slope geomechanical model, and performing simulation verification; and comparing the simulation verification result of the side slope geomechanical model with a preset rule threshold value, if the simulation verification result of the side slope geomechanical model is greater than the preset rule threshold value, performing early warning, uploading the simulation verification result of the side slope geomechanical model to a cloud platform, and performing visual output. According to the invention, comprehensive analysis and management of the flood discharge tunnel outlet slope under the earthquake effect are realized.

The invention provides a slope seepage analysis method under a flood discharge atomization condition. The slope seepage analysis method comprises the following steps: S1, acquiring slope pore water pressure data and matrix suction data through a distributed sensor array; s2, the data fusion unit compares the pore water pressure data with a dynamic critical pressure threshold value, compares the matric suction data with a dynamic critical suction threshold value, and generates a seepage analysis trigger instruction when any data exceeds the limit; s3, starting a transient seepage field calculation model by the seepage calculation engine based on the fracture network topology data; s4, generating a slope stability control parameter set according to a seepage pressure distribution diagram output by the transient seepage field calculation model; and S5, the execution system regulates and controls the operation state of the drainage facility according to the slope stability control parameter set. The slope seepage pressure can be reduced, the slope stability is improved, and safe operation of a water conservancy project is guaranteed.

The invention discloses a durability evaluation method for a slope protection layer of a flood discharge atomization area, and the method breaks through the limitation of a conventional static load hypothesis, and accurately reflects the load joint variability through dynamic monitoring and probability modeling. The core problems of inaccurate load feature description, insufficient multi-field coupling simulation precision, lack of time-varying reliability evaluation and the like of a traditional method are effectively solved. The combination of dynamic monitoring and probability modeling improves the load characteristic representation precision, the multi-physics field coupling calculation accurately simulates the water particle impact mechanism, the fusion of the intelligent prediction model and the random process theory realizes the dynamic evaluation of the performance degradation of the protective layer, and finally provides quantitative decision support for engineering maintenance.

The invention belongs to the field of dam flood discharge safety, and provides a dam flood discharge safety protection method and system based on earthquake response analysis, and the method comprises the steps: S1, obtaining multi-source environment and structure data in real time; s2, preprocessing the multi-source environment and structure data to form a unified time sequence multi-dimensional data set; s3, simulating and analyzing the structural dynamic response of the dam and the flood discharge gate based on the unified time sequence multi-dimensional data set, and evaluating potential damage; s4, comprehensive risk assessment is carried out by combining the earthquake response analysis and damage assessment result, the hydro meteorological data and the flood discharge gate operation state data, and early warning information is generated; s5, generating a dynamically adaptive flood discharge gate opening and closing strategy according to the comprehensive risk assessment result and the early warning information; s6, executing the opening and closing strategy of the flood discharge gate, and monitoring the actual operation state of the flood discharge gate in real time; and carrying out comparative analysis on the actual running state of the flood discharge gate and the prediction strategy, and carrying out updating and optimization according to an analysis result.

This invention relates to the field of data prediction technology, specifically to a collaborative control method for the opening degree of hydropower station gates based on BeiDou technology. This method constructs state parameters and analyzes the transition of these parameters over historical periods to obtain the transition probability for each state parameter transition. By combining the correlation between meteorological data and opening data, as well as the correlation between historical meteorological data and predicted meteorological data, the transition probabilities are continuously weighted to obtain a second weighted transition probability. The quantitative characteristics of the state transition of the flood discharge channel gate under its predicted state transition are statistically analyzed for the non-flood discharge channel gate, thereby obtaining the upper-level influence weight, obtaining the second state transition matrix of the flood discharge channel gate, and performing state prediction. This embodiment of the invention, by combining the influence of historical meteorological data and further combining the control influence between gates, obtains accurate gate state prediction results.

The invention discloses a flood discharge vertical shaft stilling well-turning section body type unified optimization method. The method comprises the steps that multi-working-condition physical constraints describing body type parameters of a flood discharge vertical shaft, a stilling well and a turning section are obtained, and a combined feasible region is constructed; obtaining a typical flood working condition set; an active sampling strategy is adopted, body type sample data are obtained through iteration aiming at the typical flood working condition set in the joint feasible region, and a flow regime partition model and a hydraulic index agent model are constructed through iteration; according to the active sampling strategy, multi-working-condition uncertainty and flow regime partition boundary information are fused; in the joint feasible region, the flow regime partition model and the hydraulic index agent model are applied, a robust optimization model considering the cross-working-condition flow regime stability is constructed and solved, and a unified optimization body type scheme is obtained. According to the method, by introducing the flow state middle layer and combining the sampling strategy of flow state boundary driving, the capturing capacity and optimization efficiency of nonlinear flow state sudden change are improved.

The invention discloses a data processing method applied to digital twinborn hydraulic engineering, and relates to the technical field of hydraulic engineering, the decision reliability of the digital twinborn hydraulic engineering in a rainstorm scene is significantly improved through algorithm architecture reconstruction, a two-channel cooperation mechanism deeply couples water level time sequence monitoring and rainfall space analysis, and the accuracy of data processing is improved. A graph convolutional network is used for extracting drainage basin level rainfall thermodynamic diagram features, self-attention dynamic noise filtering is combined, space-time alignment of meteorological data and ground sensing is achieved, false alarms caused by equipment interference or data asynchronization are restrained from the source, it is ensured that an early warning instruction is only triggered under the real flood situation condition, and the early warning efficiency is improved. The edge intelligent closed-loop decision breaks through the cloud dependence bottleneck, the lightweight model locally generates a scheduling strategy at a gate station node, the reinforcement learning driven gate control takes the water level deviation as an optimization target, and the loss of frequent actions on equipment is synchronously constrained, so that the flood discharge response is changed from passive rule execution to active risk stabilization.

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 utility model discloses a sluice energy dissipation and scour prevention structure, which belongs to the technical field of hydraulic engineering facilities, and comprises a sluice dam foundation and a concrete sluice dam built on the sluice dam foundation, a concrete apron is poured on the downstream side of the concrete sluice dam, an energy dissipation device is arranged above the concrete apron, and a plurality of groups of buffer waterwheels are arranged on the downstream side of the energy dissipation device. The buffer waterwheel comprises a rotating shaft rotationally arranged on the concrete apron and a plurality of rotating fan blades fixedly connected to the rotating shaft, the rotating fan blades are evenly arranged in the circumferential direction of the rotating shaft, two anti-scour walls are poured below the tail end, in the water flow direction, of the concrete apron, and the lower ends of the anti-scour walls are located in the gate dam foundation. A concrete apron is poured on the downstream side of the concrete apron, the concrete apron is composed of a plurality of rectangular frame bodies, and the rectangular frame bodies are filled with concrete tetrahedrons. The flood discharge gate has the effects of improving the structural strength of the flood discharge gate, improving the construction rapidness and improving the efficiency of the flood discharge gate.

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 method for constructing and solving a wind speed optimization model of a flood discharge tunnel traffic corridor based on a physical characteristic embedded mixed variable, and the method comprises the steps: determining key control parameters of safe and stable operation in the traffic corridor during flood discharge according to the core influence factor of the wind speed of the flood discharge tunnel traffic corridor, thereby determining an optimization variable and an optimization target; physical correction normalization is carried out on the water head height in the optimization variables, segmented normalization is carried out on the gate opening, and physical attribute mapping is carried out on the flood discharge operation hole number combination; according to the normalized physical attribute mapping of the gate opening degree and flood discharge operation hole number combination, the total open area is calculated; physical characteristics are constructed according to the total overflowing area and the normalized water head height; and establishing a flood discharge tunnel traffic corridor wind speed optimization model according to the water head height, the flood discharge tunnel operation hole number combination, the gate opening and the physical characteristics, and solving. According to the method, the optimal scheme of the wind speed of the flood discharge tunnel traffic corridor is obtained.

The landslide dammed lake landform utilization and restoration method comprises the steps that backfill back pressure is conducted on a slope toe river channel at the front edge of a landslide, reinforced concrete retaining walls are arranged at the upstream end and the downstream end of a backfill back pressure area respectively to stabilize backfill bodies of the backfill back pressure area, and water from the upstream of the river channel is intercepted to form a water storage area; reinforced concrete flood discharge and sand discharge holes are linearly distributed in stable mountain bed rock outside the landslide area, the inlet ends of the flood discharge and sand discharge holes are connected with an upstream water storage area river bank, the outlet ends of the flood discharge and sand discharge holes are connected with a downstream river bank slope, and a water pump station and a pipeline are built in a geological stable area of the water storage area to lift water. The land in the landslide area is recycled; by arranging the backfill back pressure area and the flood discharge and sand discharge hole, on the basis of stabilizing the landslide weir body, the water pumping station and the water lifting pipeline are built, water stored in the water storage area is utilized to irrigate and recycle land in the landslide area, land utilization and ecological restoration are carried out on the basis of landslide prevention and control, and the landslide treatment effect is improved.

The invention provides a sponge rural ecological landscape drainage and storage system, and relates to the technical field of drainage and storage. The sponge rural ecological landscape drainage and storage system comprises a storage module, a drainage unit, a super-hydrophobic water collection module and a distributed control system. According to the invention, the system can switch the intelligent drainage valve from a high-resistance state to a low-resistance state at a millisecond level at the moment of monitoring rainstorm by utilizing the real-time adjusting capability of the electromagnetic coil embedded in the magnetorheological valve body to the viscosity of the MRE material, so that large-drift-diameter full-open flood discharge is realized, and when the rain vigor is weakened or a dry season water storage stage is entered, the intelligent drainage valve can be switched from the high-resistance state to the low-resistance state at the moment of monitoring rainstorm, so that the large-drift-diameter full-open flood discharge is realized. And the high viscosity can be quickly recovered to be close to a fully-closed state, so that the runoff water source is efficiently locked in the reservoir body. According to the high-response and high-precision flow adjusting mode, the opening degree can be automatically adjusted according to the rainfall intensity and the water level change, so that the two extreme working conditions of flood drainage and water storage are optimally balanced, and the emergency capacity of the system for sudden heavy rainfall events and the dry season water resource guarantee capacity are remarkably improved.

The invention belongs to the technical field of dam flood discharge stability monitoring, and discloses a flood control dam stability analysis method. According to the method, self-adaptive section division is carried out based on the deviation values of the dam height, the cross section area and the curvature radius, so that the structural characteristics of each section have homogeneity. Compared with equidistant division in the prior art, the method can independently divide the high-risk curve section into the monitoring units, and the risk positioning precision is improved. According to the method, the appropriate flood discharge rate is obtained through historical safe flood discharge case matching, dynamic correction is performed based on the upstream flood discharge data and the sludge accumulation sectional area ratio, the flood discharge rate is automatically adjusted, and upper limit control is performed in combination with the gate flood discharge capacity. The strategy can adapt to different incoming water conditions and dam body states, dam body overload caused by improper rate control is avoided, and the safety and flexibility of flood discharge scheduling are improved.