517 results about "Siltation" patented technology

The invention relates to the technical field of reservoir dam safety monitoring, and discloses a reservoir dam siltation dynamic monitoring and early warning system. Multi-dimensional sensing node arrays of the system are arranged at key positions of a dam body structure and a reservoir area, and sediment thickness distribution data, water flow velocity field data and sediment concentration gradient data are synchronously collected. And the edge computing node receives the original monitoring data, executes data cleaning and space-time alignment processing, and generates a standardized siltation feature data set. And the cloud analysis platform receives the data set, calculates a deposition evolution trend matrix through a space-time coupling prediction model, and outputs a reservoir area deposition risk level distribution map. And the dynamic visualization engine analyzes the risk level distribution map, generates a three-dimensional dynamic deposition situation model, and marks the space coordinates of the abnormal deposition area. And the early warning decision center generates a graded early warning instruction set according to the space coordinates of the abnormal region, and triggers a corresponding emergency response strategy.

The invention relates to the technical field of coast engineering, in particular to an estuary sandy coast erosion and deposition simulation system based on the coupling effect of flood peak runoff, waves and tide, which comprises a training data generation module, an intelligent agent model construction module, a dynamic prediction engine module and a scene evaluation module. The training data generation module is used for outputting a hydrodynamic state field, a wave characteristic field, a bed surface shear stress field and a bed surface elevation variable quantity by utilizing a traditional numerical model to construct a training data set; the intelligent agent model building module is based on a deep learning network and introduces physical constraint loss function training to obtain an intelligent agent model; the dynamic prediction engine module loads the trained deep learning network to realize bed surface elevation variation prediction and update terrain boundary conditions; and the scene evaluation module executes erosion and deposition evolution simulation according to different hydrological boundary condition combinations and extracts terrain evolution data to quantitatively evaluate the coast stability and the channel deposition risk. The invention relates to the field of estuary dynamic landform simulation and coast engineering.

The invention discloses a near-shore wave-flow field-sediment coupling simulation method considering a wave breaking nonlinear effect, and belongs to the field of near-shore hydrodynamics, and the method comprises the steps: inputting WRF high-resolution wind field, tide boundary conditions and water depth information, and initializing a wave module, a flow field module and a sediment module; calculating local wave breaking dissipated energy by adopting an improved wave breaking energy dissipation formula to obtain a wave energy density spectrum and a breaking probability; a near-shore flow field is calculated under radiation stress nonlinear correction, and hydrodynamic boundary conditions are updated; calculating sediment suspension and deposition by using a coupling diffusion coefficient, and updating sediment concentration distribution; waves, flow fields and sediment are mutually coupled through loop iteration, and coastal wave-flow field-sediment simulation is achieved under extreme conditions such as typhoons, storm surge and strong storm waves. The method can improve the prediction precision of the wave height, the flow velocity and the sediment concentration under the condition of offshore strong storm waves, and is used for typhoon storm surge prediction, harbor basin deposition evaluation and offshore ecological environment management.

The invention discloses an irrigation area ditch drainage-farmland waterlogging simulation evaluation method. The method comprises the following steps: S1, obtaining meteorological and hydrological data, DEM data, drainage facility vector data and land utilization classification data of a target area; s2, generalizing a drainage system of the irrigation area, and generating nodes, drainage channels and sub catchment area. Shp files; s3, converting the. Shp file into an. Inp file, constructing a parameterized model, and performing parameter calibration and verification on the model; s4, simulating waterlogging conditions under different rainfall and channel siltation situations; s5, extracting overflow node data, and performing flood inundation analysis; and S6, generating a flood risk density map according to the overflow node data. The invention further discloses an irrigation area ditch drainage-farmland waterlogging simulation evaluation system. According to the irrigation area ditch drainage-farmland waterlogging simulation evaluation method and system disclosed by the invention, the problem that ditch drainage simulation and farmland waterlogging risk evaluation cannot be carried out under an irrigation area waterlogging disaster in the prior art is solved.

The invention provides a watershed water right marketization configuration method and device under water-sediment coupling constraint, and the method comprises the steps: constructing a water-sediment coupling constraint model which comprises a plurality of constraint conditions, and the constraint conditions are used for constraining the sediment transportation and deposition conditions in a water transportation process; establishing a multi-target water right optimization configuration model based on the importance of various water consumption subjects in the drainage basin and a preset water right distribution strategy; solving the multi-objective water right optimal configuration model by adopting a multi-objective evolutionary algorithm and constraint conditions, and generating a candidate water right configuration solution set; selecting a feasible solution set from the candidate water right configuration solution set based on constraint conditions; scoring each solution in the feasible solution set, and sorting according to a scoring result; and obtaining an optimal water right configuration solution set based on a sorting result. According to the method, the safety and ecological requirements of a watershed water-sediment system can be guaranteed while the water right is reasonably distributed.

The invention relates to a quick mountain torrent disaster risk assessment method and system based on multi-source data fusion. The method comprises the following steps: performing space-time registration on multi-source data, constructing a dynamic factor matrix and a static geological parameter matrix, and calculating soil saturation; on the basis of the dynamic factor matrix, removing redundant factors, analyzing and generating a weight vector through an entropy method, on the basis of the effective factor set, the static geological parameter matrix and the soil saturation, correcting the rock-soil shear strength by quantifying the sediment deposition effect, obtaining the corrected rock-soil shear strength, and calculating the slope safety coefficient; and according to the coefficient, the effective factor set and the weight vector, generating a risk membership degree vector through fuzzy evaluation, calculating a risk feature value, identifying a disaster dominant type, and constructing a risk map. According to the method, through multi-source data space-time registration, redundant factor elimination, sediment deposition effect quantitative correction and the like, the efficiency and precision of mountain torrent disaster risk assessment are improved, and the support of an assessment result on disaster prevention and reduction decisions is enhanced.

The invention relates to the technical field of coastal zone renovation and repair, in particular to a siltation promotion device for coastal zone renovation and repair, which comprises a siltation promotion assembly and a caisson which are sequentially arranged from top to bottom, the siltation promotion assembly comprises a plurality of siltation promotion modules which are connected through side edges, and the top side of the siltation promotion assembly is used for being fixedly connected with a coast; each siltation promotion module comprises a frame and a plurality of anti-flow plates, the multiple anti-flow plates are sequentially arranged in the frame from top to bottom, the two ends of each anti-flow plate are rotationally connected with the two opposite sides of the frame correspondingly, and every two adjacent siltation promotion modules are rotationally connected through one side edge of the frame; a sedimentation cavity is formed in the top of the caisson, a permeable material is arranged in the sedimentation cavity, flow guide holes penetrating through the two sides are formed in the upstream face and the downstream face of the caisson correspondingly, and the bottom side of the siltation promotion module is connected with the caisson and located above the sedimentation cavity; the siltation promotion device is formed in a splicing mode, the siltation promotion device can be well suitable for complex terrains, and the anti-flow plate is arranged to effectively resist water flow impact.

The invention discloses a Yellow River water conservancy project real-time monitoring system based on edge computing, and particularly relates to the technical field of cloud computing. The system constructs a flow state characteristic interval by collecting water and sediment data; loading an algorithm component based on flow state characteristics, and changing a master control pointer by using atomization operation to realize calculation power logic hot switching; analyzing a difference value between the instantaneous torque of the motor and the no-load reference to obtain a sediment deposition resistance torque; mapping the resistance moment to a digital shadow table to extract a gain compensation parameter; and resetting controller parameters and modulating the pulse width signal according to the compensation coefficient, and outputting a driving voltage to control the gate. Through the edge end algorithm hot switching technology, the problems that a traditional system is difficult to adapt to the variable water and sediment working conditions of the Yellow River and logic updating shutdown are solved, and monitoring continuity is guaranteed. The defect of power mismatching of a single driving mode is overcome, motor overload and mechanical jamming are prevented, gate control accuracy and operation stability are greatly improved, and the service life of equipment is greatly prolonged.

The invention provides a river sediment physical habitat evolution identification method, device and system and a medium. The method comprises the following steps: acquiring a multi-temporal remote sensing image and hydrological data (flow Q, water level Zw and slope S), screening and other hydrological condition image pairs; extracting a water surface range, and calculating the average width B of the main groove; deducing the average water depth h by using a Manning formula, and calculating the riverbed elevation zbed by combining the Zw; the difference value delta zbed of zbed in different periods is calculated, and the substrate state is judged according to the difference value delta zbed and a threshold value epsilon; and performing segment processing along the center line to output a spatial distribution result. On-site measurement is not needed by relying on conventional data, and consumption is reduced; water level interference is eliminated through equal hydrological condition matching, and comparability is ensured; water depth inversion and differential analysis directly reflect scour deposition and quantitatively reveal rules; long-distance automatic processing improves space-time coverage capability and precision, and provides a basis for river regulation, ecological restoration and drainage basin management.

The utility model provides a river channel desilting device, and mainly relates to the field of water area desilting equipment. A river channel desilting device comprises a ship body. The dredging device has the advantages that the movable supporting plate driven by rotation of the threads is arranged in the ship body to move so as to drive the dredging pipe barrel to move, and the hydraulic cylinder capable of driving the dredging pipe barrel to ascend and descend is further arranged between the movable supporting plate and the dredging pipe barrel; different stretching depths of the desilting pipe barrel can be adjusted by adjusting the lifting height of the movable supporting plate and the lifting height of the hydraulic cylinder, and a spiral conveying twisting blade driven by a motor to rotate is further arranged in the desilting pipe barrel. Sludge, impurities and the like deposited at the bottom of the river channel are conveyed into the upper ship body through the spiral conveying twisted blade to be collected and treated through the dredging pipe barrel, and when the interior of the dredging pipe barrel needs to be cleaned, the dredging pipe barrel can be placed on the ship body and opened to clean the interior of the dredging pipe barrel.

The invention discloses an anti-scour siltation promotion fixing device for an offshore platform pile foundation, which is provided with an inner pile casing, an outer pile casing, a protective ring and a bottom plate, siltation holes and flow blocking thorns are arranged in the outer pile casing, and grids are arranged in the bottom plate; the inner pile casing and the outer pile casing are connected through the connecting rod, and the protective ring and the bottom plate are sequentially connected to the lower end of the outer pile casing. The scour prevention and siltation promotion device is installed outside the pile foundation. The device has the functions of scour prevention and siltation promotion, silt in the device can be deposited, the protection effect on a pile foundation and the device is achieved, the device has the function of preventing seabed scour, the stability of the device can be improved through silt deposition in the device, and the device can be effectively prevented from being scoured again by ocean currents. The pile foundation is simple in structure and reasonable in design, can play an effective role in scour prevention and siltation promotion around the pile foundation, and is suitable for all ocean engineering platform pile foundations, such as offshore oil platforms, wind power platforms and other ocean engineering platforms.

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 relates to the technical field of underwater topographic surveying and mapping, in particular to a sea area water taking channel scanning survey method and system based on multi-beam measurement, and the method comprises the following steps: constructing a rigid support, fixing a depth finder through a three-way cable fastening device, and building a Boolean parameter model; sound velocity, tide level and original echo data are collected; performing space-time registration, coordinate conversion and filtering denoising on the data to generate corrected water depth; and constructing an irregular triangulation network by using hard boundary constraint, generating a digital elevation model, and extracting a siltation area. According to the invention, multi-beam wide sector scanning and multi-sensor attitude correction technologies are fused, a limited water area full-coverage measurement system is constructed, and the problems of terrain blind areas and detail loss are solved. A boundary constraint reconstruction algorithm is utilized to realize closed-loop processing from coordinate reference unification to micro-landform restoration, the accuracy of channel bottom pit capture and edge topography expression is improved, and data support is provided for sedimentation analysis.

The invention discloses a brine well wall anti-collapse structure and a construction method and application thereof. The brine well wall anti-collapse structure comprises a supporting disc cavity, a grouting blocking device and a supporting disc pouring body. The grouting blocker is a soft bag and is filled with a first grouting material so as to expand and block the opening of the cavity of the supporting disc; and the branch plate pouring body is formed by injecting second grouting material into the branch plate cavity, and is used for filling the branch plate cavity and plugging a gap between the grouting barrier device and the branch plate cavity. According to the invention, a composite grouting process system of branch plate grouting and high-pressure jet grouting is innovatively developed; a supporting disc structure is formed in a sand layer through expansion and extrusion, then an anti-seepage grouting material is injected through a grouting blocking device to form a sand prevention supporting layer, then a gap between a supporting disc and the grouting blocking device is recharged and solidified through a high-pressure rotary jet grouting technology, and finally a well wall overall reinforcing body formed by mutually meshing and connecting the grouting blocking device and the supporting disc structure is constructed. The problems that an existing brine well faces fine sand silting wells, soft soil layer frameworks are dissolved and collapsed and the like are solved.

The invention provides a basin sediment budget calculation method, which comprises the following steps of: arranging various types of collected basic data of a target basin into a grid form, carrying out uniform space registration, and dividing the various types of basic data based on a small basin boundary serving as a space unit of sediment budget calculation; for each small watershed, respectively calculating gravitational erosion, debris flow erosion, channel erosion and slope erosion to obtain spatial and temporal distribution of various erosion amounts and the total erosion amount in the target watershed; respectively calculating the sediment yield and the deposition rate of the small watershed scale aiming at the four types of erosion; on the basis of the calculated sediment production, the sediment transport amount of the small watershed suspended load in the main river water system is calculated section by section according to the upstream and downstream relation of the convergence river position of each small watershed in the target watershed, and distribution of the sediment transport amount of the suspended load in the flowing direction of the main river water system is obtained in combination with sand digging, reservoir sedimentation and the input amount and the output amount of the suspended load in the river reach. According to the method, the sediment space-time distribution in the basin erosion and basin sand-producing river sediment transportation multi-physical process can be comprehensively quantified.

The utility model relates to a sampler for back-silting detection of a foundation trench of a pre-laid immersed tube tunnel, which belongs to the technical field of back-silting detection of foundation trenches of immersed tube tunnels and comprises a sampling tube, a sealing diaphragm and a sealing lifting lead. Wherein the sampling tube is used for accommodating a foundation trench back-silting sample, an opening is formed in the bottom of the sampling tube, and a bracket is fixed at the top; the sealing diaphragm is arranged at the bottom of the sampling tube and used for sealing the opening after sampling; one end of the sealing lifting wire is connected with the sealing diaphragm through the bottom of the sampling tube, the other end of the sealing lifting wire is controlled by a worker, and when the sealing lifting wire is controlled to be pulled upwards, the sealing lifting wire pulls the sealing diaphragm to move and seal the opening. According to the sampler, the opening is formed in the bottom of the sampling tube and is sealed by the sealing diaphragm, so that accurate acquisition of a back-silting sample is ensured; and through the arrangement of the sealing lifting lead wire, an operator can easily control opening and closing of the sealing diaphragm, and the operation difficulty and cost are reduced.

The invention provides an irrigation area sediment deposition prediction method and system, computer equipment and a storage medium, and belongs to the field of water conservancy project intellectualization, and the method comprises the steps: collecting historical hydrological data, real-time monitoring data and remote sensing observation data of a to-be-predicted irrigation area; the method comprises the following steps: resampling historical hydrological data and real-time monitoring data, carrying out forward filling completion on missing data, filling remote sensing observation data into a unified time axis, and filling missing spatial features based on spatial feature values of an adjacent time reference to obtain multi-source data with time-space alignment; extracting features of the multi-source data to obtain four features; and combining the four features and calculating correlation weights among the features so as to determine the sediment flow, the sediment concentration and the sediment flow velocity of the to-be-predicted irrigation area. According to the method, aiming at the defect of non-uniform spatial and temporal distribution among multi-source data sources, spatial and temporal alignment is realized through time re-adoption and spatial feature completion, the input information can accurately reflect the sediment transportation process of an irrigation area, and the prediction accuracy is improved.

The invention discloses a hydraulic engineering management and control system and method based on digital twinning, and relates to the technical field of digital twinning, and the method comprises the steps: firstly collecting and preprocessing channel condition data in real time, then comprehensively processing the data to obtain a sediment deposition factor and a congestion prediction factor, and analyzing whether sediment deposition exists according to the sediment deposition factor and the congestion prediction factor; if yes, whether the channel is congested or not is predicted according to the latter, if congestion is predicted, a congestion early warning is given out, and if no deposition exists or congestion does not exist, the process is ended correspondingly or prediction continues. The method combines flow velocity and flow direction abnormal parameters to form sediment deposition factors, bypasses underwater direct detection bottlenecks by means of digital twin modeling and simulation algorithms, improves sediment deposition judgment accuracy through multi-dimensional analysis, constructs congestion prediction factors based on a standard and actual water flow difference value and the flow direction abnormal parameters, and performs threshold exceeding early warning. The blocking risk is recognized in advance, and time is won for hydraulic engineering maintenance regulation and control.

The invention belongs to the field of reservoir erosion and deposition scheduling, and particularly relates to a sediment-carrying reservoir power generation-erosion and deposition dynamic optimization scheduling model construction method. The invention discloses a sediment-carrying reservoir power generation-erosion and deposition dynamic optimization scheduling model construction method. The method comprises the following steps of S10, collecting reservoir terrain scanning data, hydrological monitoring data and ecological space data; the ecological space data comprises a spawning site elevation threshold distribution map and a benthic organism habitat substrate type partition map; superposing the data into a three-dimensional geographic ecological model through the acquisition positions of the data; s20, based on historical erosion and deposition operation records, erosion and deposition equipment scheduling parameters and corresponding geographic ecological models before and after erosion and deposition are extracted, and an erosion and deposition reduction model is established; and calculating the siltation reduction amount according to the geographic ecological model before and after erosion and siltation. According to the scheme, the problem that the reservoir ecology is destroyed due to extensive scouring and silting scheduling in the prior art is solved, the dynamic prediction, intelligent scheduling and closed-loop management capabilities are achieved, and the scouring and silting precision, efficiency and benefits are remarkably improved.

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 a reservoir sediment modeling method based on multi-time-sequence multi-beam sounding point cloud data, and relates to the field of reservoir sediment monitoring and modeling, and the method comprises the steps: constructing a reservoir area space grid skeleton model, and collecting multi-time-sequence multi-beam point cloud data and corresponding hydrological auxiliary data; performing space division by adopting an adaptive tile subdivision method, generating multi-level point cloud tiles by adopting a feature point downsampling method, and establishing a three-dimensional composite index; the indexed multi-level point cloud tile set is processed through an anisotropic ICP registration method, and a point cloud tile set of multi-time-sequence registration is obtained; establishing an initial triangulated irregular network sediment model, carrying out differentiated partitioning by utilizing historical hydrological auxiliary data, and carrying out dynamic updating based on a partitioning state to obtain a dynamic reservoir sediment model; and S5, calculating to obtain deposition parameters, and mapping the deposition by adopting a three-dimensional engine to obtain an interactive three-dimensional dynamic deposition situation map. According to the invention, high-precision dynamic visualization of the reservoir sediment deposition process is realized.

The invention discloses a method and system for predicting the scouring trend of a full-hall long-piled wharf, and belongs to the field of port engineering monitoring. The method comprises the following steps: firstly, constructing an embedded ultrasonic array monitoring system, arranging probes according to regions to realize accurate deployment and control, and synchronously acquiring acoustic data and environmental parameters; noise reduction, inversion and fusion processing are carried out on the data, and normal deposition fluctuation and abnormal scouring events are distinguished by combining shallow water acoustic modeling and a scouring mechanism recognition algorithm; and finally, predicting the current siltation state through an improved DWMA model, predicting the scouring trend by means of an improved LSTM physical hybrid model, and realizing risk visualization based on a grading early warning mechanism. The system can adapt to the dense pile foundation environment of the full-space high-pile wharf, effectively solves the problems of large blind area and high error in traditional monitoring, remarkably improves the monitoring precision and early warning timeliness, and provides powerful support for safe operation and maintenance of the wharf.

The invention relates to the field of water intake of water conservancy projects, and discloses a hydraulic automatic desilting bottom barrier water intake which comprises a desilting module, a water inlet module and an anti-scour module. The sand discharging module comprises a primary sand flushing part and a secondary sand flushing part. The primary sand flushing part comprises a sand guide ridge, a sand flushing weir, a sand flushing flow channel, a side wall and a partition wall. The secondary sand flushing part comprises a sand blocking ridge, a stone blocking grid, a sand discharging gate, a sand discharging gallery, a sand flushing gate and a sand flushing gallery. The sand guide ridge assembly is composed of a plurality of sand guide ridges, the arrangement mode of the sand guide ridge assembly is that the upstream opening size is small, the downstream opening size is large, and the sand guide ridge assembly is arranged on the upstream of the water taking opening. A gravel flow channel is formed between the sand guiding ridge assemblies and is wide in the upstream and narrow in the downstream. A communicating channel is arranged between the lowest points of the gravel flow channels. Sand can be intercepted on the upstream, sand is automatically flushed through hydraulic power and discharged to the downstream, and the situation that a large amount of sand enters the downstream along with water flow to deposit and block the grating is avoided.

The invention provides an irrigation area gate safe operation state alarm method, which comprises the steps of arranging at least three ultrasonic sensing devices at the bottom of a gate plate, obtaining ultrasonic signals of the ultrasonic sensing devices in the gate operation process and driving signals of a driving component used for driving the gate to move, obtaining the theoretical opening degree of the gate according to the driving signals, and calculating the safety operation state of the gate according to the theoretical opening degree. According to the ultrasonic signals, the actually-measured opening degree of the gate is obtained, and then the actually-measured value of the sediment deposition depth of each ultrasonic sensing device is obtained; performing Kalman filtering on the current ultrasonic signal and the driving signal to obtain an initial predicted value of the sediment deposition depth at the next moment, and correcting a residual error in the initial predicted value by using a pre-trained neural network to obtain a predicted value of the sediment deposition depth at the next moment; and the safe operation state of the gate is judged through the driving signals at the same moment and the measured values and the predicted values of the sediment deposition depths, and an alarm signal is sent out according to the judgment result. The intelligent degree of safe operation monitoring of the gate in the irrigation area is improved.

The invention relates to the technical field of riverway desilting, in particular to a riverway self-adaptive desilting system and method based on intelligent water level perception, and the method is executed by a central control unit and comprises the four steps of model construction and benchmark calibration, real-time monitoring and siltation diagnosis, precise survey and operation planning and closed-loop execution and model synchronization. The system comprises a central control unit, a water level intelligent sensing array, terrain scanning equipment and dredging machinery, according to the method, the three-dimensional digital riverbed model is constructed, the sedimentation state is dynamically judged in combination with the water level sensing data, an accurate desilting operation scheme is generated, and operation closed-loop control is achieved. According to the method, navigation and ecological riverway dredging requirements are considered, the dredging precision and automation level are improved, the operation cost is reduced, intelligent transformation of riverway management is promoted, and an efficient solution is provided for long-acting treatment of the riverway.

The invention provides a drainage basin sediment prediction method, which comprises the following steps of: sorting various kinds of collected basic data of a target drainage basin into a grid form, carrying out unified space registration, and dividing the basic data based on a small drainage basin boundary serving as a sediment prediction space unit; for each small watershed, respectively predicting gravitational erosion, debris flow erosion, channel erosion and slope erosion to obtain future spatial and temporal distribution of various erosion amounts and the total erosion amount in the target watershed; for the four types of erosion, the future sediment yield and deposition rate of the small watershed scale are calculated respectively; and on the basis of the future sediment production, the small watershed suspended load sediment transport amount in the main river water system is calculated section by section according to the upstream and downstream relation of the convergence river position of each small watershed in the target watershed, and distribution of the suspended load sediment transport amount in the flowing direction of the main river water system is predicted in combination with sand digging, reservoir sedimentation and the input amount and the output amount of the suspended load in the river reach. The method can predict the sediment space-time distribution in the basin erosion and basin sand-producing river sediment transportation multi-physical process.

The present invention discloses an anti-siltation and anti-impact water-dividing structure for the intersection of a karst tunnel and an underground river. The structure utilizes an upstream water-dividing weir, a downstream force-dissipating weir, a porous box culvert-type V-shaped inverted siphon water pipe and an open overflow channel, so that the karst tunnel structure divides the underground river intersecting therewith into upper and lower water-passing sections; the lower water-passing section is a porous box culvert-type V-shaped inverted siphon water pipe, and the upper water-passing section is an open overflow channel. The water-dividing structure of the present invention diverts the underground river through the karst tunnel according to the dry season and the flood season. The buried depth of the V-shaped inverted siphon hole water pipe is shallow, and there is no need to adjust the water flow gradient of the underground river. In addition, the V-shaped inverted siphon hole water pipe solves the problem of siltation on the upstream side of the lining structure of the upstream karst tunnel. At the same time, the water-dividing weir reduces the impact load of the water flow on the lining structure during the flood season, so that the upper and lower diverted water loads achieve a certain degree of balance.

The invention provides a BP neural network-based slurry conveying pipeline siltation critical flow velocity prediction method, and relates to the technical field of fluid conveying. Comprising the following steps: S1, determining four items of conveying pipe diameter, particle size, solid material density and volume fraction as main factors influencing the flow velocity change of the slurry conveying pipeline; s2, introducing a Mixup algorithm to perform enhancement processing on the original data; s3, in the process of predicting the sedimentation critical flow velocity of the slurry conveying pipeline, introducing a BP neural network, constructing an intelligent prediction model, and continuously learning, mining and expanding rule features contained in data; s4, deducing a more accurate flow velocity predicted value by using a grey correlation analysis algorithm when the sedimentation critical flow velocity of the slurry conveying pipeline is predicted by depending on the BP neural network model; according to the method, accurate prediction of the deposition critical flow velocity is realized, a powerful guarantee is provided for safe operation and efficiency improvement of the slurry conveying pipeline, and the method has important significance for guaranteeing safe operation of the slurry conveying pipeline.

The invention relates to the technical field of sediment prediction, in particular to a method for predicting sediment deposition in a channel based on a hydrodynamic model. Comprising the following steps: correcting the critical start-up flow velocity of the sediment according to the biomass, metabolic rate and biological membrane thickness of a microbial community to obtain a corrected critical start-up flow velocity; on the basis of the corrected critical starting flow velocity, the actual suspended sediment concentration in the navigation channel is calculated in combination with the turbulence intensity, the propagation distance and the ship draught depth of ship wake flow; according to the suspended sediment concentration, the sediment deposition amount in the channel is calculated by combining the cementation strength, the water content and the organic matter decomposition rate of the sediment on the surface layer of the riverbed. According to the method, ecological and navigation related influence factors can be comprehensively considered, and the prediction accuracy in a complex scene is improved.

The invention discloses a cold region tunnel drainage pipe anti-crystallization system based on an alternating electric field. The cold region tunnel drainage pipe anti-crystallization system comprises a tunnel body, an annular blind pipe, a radial water guide pipe, a transverse drainage pipe, a conical sediment sedimentation tank and an electric field generation device. The outer walls of the annular blind pipe and the radial water guide pipe are wrapped with titanium alloy net-shaped partition electrodes, alternating voltage with the phase difference of 90 degrees is output through the phase controller to form an alternating electric field, and salt ions are disturbed to inhibit crystal nucleus generation. The electrodes have a heating function, so that positive temperature in the pipe can be realized; auxiliary electrodes are arranged at connecting ports of the annular blind pipe, the radial water guide pipe and the transverse drainage pipe to fill the electric field blind area; the conical sediment sedimentation tank reduces sediment deposition through vibration desilting and an anti-crystallization coating. The system is linked with the temperature and conductivity sensors through the master controller, dynamically adjusts the electric field frequency and the heating power, and adapts to the high-salt and low-temperature working conditions in the cold region. The complex problems of whole-area crystallization prevention and low-temperature icing prevention of the tunnel drainage system in the cold region can be solved.