688 results about "Siltation" patented technology

The invention relates to the technical field of sewage treatment, in particular to a dynamic simulation method for a lake and reservoir sewage sludge deposition process. The method comprises the following steps: collecting lake and reservoir hydrological station data, carrying out abnormal value filtering and missing value completion, generating a complete hydrological sequence, carrying out water flow state subdivision to obtain flow state hierarchical data, reconstructing a multi-layer hydrodynamic field, forming a hydrological dynamic field set, carrying out suspended matter analysis, and obtaining a hydrological dynamic field model; the method comprises the following steps of: extracting sewage sludge data, deconstructing transportation characteristics of the sewage sludge data, generating transportation dynamic data, performing water body stress tensor decomposition to obtain stress distribution data, performing substance transportation simulation on a complete hydrological sequence by using the stress distribution data, establishing a multi-scale sedimentation dynamic model, acquiring water body sedimentation change data in real time, comparing the water body sedimentation change data with the model, and if inconsistency exists, judging whether the water body sedimentation change data is consistent or not. If yes, the model is finely adjusted in real time, and an optimized multi-scale deposition dynamic model is generated. The more accurate dynamic simulation method for the lake and reservoir sewage and sludge deposition process is achieved.

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 discloses a high-precision flow online monitoring device and method for a siltation section, and belongs to the technical field of hydrological monitoring. The device comprises a sensing terminal, an edge terminal and a mounting mechanism, the sensing terminal is integrated with an upper and lower section layered speed measurement module, an underwater distance measurement module, a first absolute pressure type water level measurement module and an attitude and temperature sensor, and vertical section flow velocity data is obtained by receiving water body reflection signals in a time-sharing manner; and the dynamic deposition section area is corrected in real time in combination with ultrasonic ranging. And the edge terminal compensates water level measurement data by using atmospheric pressure, and calculates the flow through fusion of a telemetering module. The installation mechanism supports fixed or telescopic installation, and the height of the installation mechanism is automatically adjusted according to the distance between a deposition layer and equipment. The method comprises the steps of dynamically correcting the section, calculating the flow through layered integration and compensating errors of multiple sensors, the problems of large area deviation, high operation and maintenance cost and the like caused by sedimentation in a traditional flow measurement technology are solved, and high-precision online monitoring under the high-sand-content complex flow state is achieved.

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 discloses a channel siltation probability early warning method and system for water flow feature recognition, and relates to the technical field of channel maintenance, and the method comprises the steps: obtaining channel characteristic parameters, inputting the channel characteristic parameters into an interaction knowledge graph, and determining a key water flow feature index set; performing random feature combination based on the index set, screening K coordination feature groups in combination with historical operation data, training K reference deposition prediction models, and performing integration to generate a deposition probability prediction model; collecting real-time water flow data through a sensor, processing the data and inputting the data into the model to predict the channel siltation probability; if the prediction result meets the early warning condition, siltation early warning is triggered. Therefore, the technical effects of improving the early warning perspectiveness, reducing the misjudgment rate and enhancing the complex environment adaptability are achieved.

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 belongs to the field of desilting robots, and particularly discloses a suction type underground drainage pipeline intelligent desilting robot and a desilting method.The desilting robot is composed of an in-pipe integrated robot and an inspection well box; the in-pipe integrated robot comprises a hardware structure and a software module, the hardware structure comprises a mechanical assembly, a circuit assembly, a sediment breaking assembly, a sediment conveying assembly and a machine body, and the software module comprises a pipeline sediment intelligent diagnosis module. A drainage pipeline siltation diagnosis module based on a deep learning network is arranged in a deep learning development board to achieve siltation diagnosis, and a central instruction receiving and sending module is used for sending desilting operation instructions to a nail surface type electric hammer, a high-pressure water spray head, a siltation crushing cutter, a silt pumping pipe, a silt discharging pipe and a vacuum sewage suction pump. According to the invention, automatic and intelligent operation of siltation diagnosis and desilting of the underground drainage pipe network in a certain maintenance area can be realized, the efficiency is greatly improved, personnel do not need to enter the pipeline, and the danger is greatly reduced.

The invention belongs to the technical field of water conservancy monitoring, and discloses a water conservancy water level monitoring device and method, and the method comprises the steps: a monitoring point arrangement module of a monitoring mechanism reasonably arranges the number and positions of monitoring points; the flow velocity monitoring module monitors the water velocity; the meteorological data acquisition module acquires meteorological data; the echo sounder emits sound waves, and the water depth is calculated according to the sound wave propagation time and the sound velocity in water; the pressure water level gauge, the laser water level gauge and the radar water level gauge monitor the water level of water conservancy. The echo data analysis module analyzes the echo data; the comprehensive analysis module comprehensively analyzes the water level; the predictive analysis module predicts a water level trend and potential risks. The water level of water conservancy is monitored through various water level gauges, cross validation and high precision are achieved, and the sediment deposition thickness is accurately calculated by analyzing echo data; the comprehensive analysis module comprehensively evaluates the water level; the prediction analysis module integrates various monitoring equipment data and meteorological data, and predicts the water level trend and potential risks.

The invention provides an immersed tube tunnel underwater slope protection silting prevention system and a construction method thereof.The immersed tube tunnel underwater slope protection silting prevention system comprises a foundation trench, a side slope is arranged in the foundation trench, the immersed tube tunnel underwater slope protection silting prevention system comprises a plurality of blocking units, each blocking unit comprises a silting prevention plate and a plurality of limiting pipes, and the limiting pipes are arranged on the side slope. The silt prevention plate is laid on the side slope, a plurality of accumulation channels penetrating in the vertical direction are formed in the silt prevention plate, and the accumulation channels are used for collecting silt; the multiple limiting pipes are inserted into the side slope in the vertical direction and connected with the silt prevention plate. According to the immersed tube tunnel underwater slope protection siltation prevention system, silt in water flow is intercepted through the accumulation channel on the siltation prevention plate, when the silt falls onto the siltation prevention plate, the silt can be deposited in the accumulation channel, the deposited silt and a soil body embedded in the accumulation channel are fused into a whole, the siltation prevention plate can be reversely fixed, the stability of a side slope is protected, and the service life of the side slope is prolonged. The sludge utilization rate is improved.

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 discloses a channel dredging intelligent monitoring system based on Beidou positioning. The system comprises a data fusion module, a dynamic grid module, a coverage analysis module, a siltation prediction module and a monitoring generation module. The data fusion module collects channel data through Beidou positioning and a multi-source sensor, and generates a real-time three-dimensional terrain model; the dynamic grid module divides dynamic grids according to the three-dimensional terrain model and dredging equipment parameters; the coverage analysis module calculates the coverage degree with the dynamic grid by using the operation track of the dredging equipment, and performs identification to obtain missing area data; the siltation prediction module predicts siltation distribution data by using a neural network model based on layered flow velocity data in the channel data and a historical siltation database; and the monitoring generation module fuses the three-dimensional terrain model, the missing area data and the deposition distribution data to generate a dredging monitoring report. Intelligent monitoring of channel dredging operation is achieved, and the monitoring efficiency and accuracy are improved.

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 discloses a tunnel drainage pipeline blockage detection analysis and dredging scheme generation system, and relates to the technical field of drainage pipeline blockage detection, and the system specifically comprises a sediment deposition risk quantification module which periodically collects the multi-source data of a tunnel drainage pipeline, and defines a sediment deposition risk score by quantifying a surrounding rock risk score and a design risk score, and generates a dredging scheme; the blockage grading detection module is used for integrating the sediment deposition risk score and the blockage related data, setting dynamic data acquisition duration and a blockage degree index, and carrying out blockage grading detection on the drainage pipeline according to the blockage degree index, and the dredging scheme generation module is used for generating a dredging scheme on the basis of a single-section pipeline blockage grading detection result. According to the system, the blockage influence of multiple sections of pipelines of the drainage pipe section is comprehensively evaluated, a tunnel drainage pipeline dredging scheme is generated according to different conditions, and the system implements regional collaborative dredging on continuous high-risk pipe sections through multi-source data fusion, quantitative analysis and dynamic decision, so that the adjacent pipe sections are prevented from being deposited again after single-section dredging, and repeated operation is reduced.

The invention discloses a riverway dredging method which comprises the following steps: dynamically scanning a riverway along a spiral propulsion path, and obtaining riverbed topographic data and sediment thickness in real time; a three-dimensional riverbed model is established based on the riverbed topographic data, and a core dredging area, a transition maintenance area and an ecological reserve area are divided in the three-dimensional riverbed model according to the sediment thickness; the core dredging area is divided into a surface layer, a middle layer and a bottom layer in the vertical direction, and a differentiated dredging process is executed; carrying out mud-water separation treatment on the dredged material, purifying the separated water, and reinjecting the purified water into the river channel; prefabricated ecological concrete modules are laid on the surface of a dredged riverbed, diversion trenches and biological nests are formed, and the biological nests are filled with polylactic acid / straw composite fiber felts containing local submerged plant seeds. Through spiral scanning, three-dimensional modeling and intelligent partitioning, integration of monitoring, planning, construction and repairing is achieved, accurate dredging is implemented, and the dredging efficiency is improved.

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 invention discloses a reservoir desilting body layout scheme evaluation method based on siltation risk characteristics, belongs to the technical field of reservoir desilting, and can solve the problem that an existing method is low in evaluation precision and accuracy. The method comprises the following steps: S1, determining a plurality of subareas of a reservoir according to historical operation data of the reservoir, and determining sedimentation risk characteristics and sediment distribution characteristics of each subarea in each of a plurality of continuous time periods; s2, according to the siltation risk characteristics and the sediment distribution characteristics, constructing a sediment distribution prediction model of the reservoir; and S3, utilizing the sediment distribution prediction model to predict the sediment distribution situation after the reservoir implements the desilting body layout scheme, and evaluating the desilting body layout scheme according to the sediment distribution situation. The method is used for evaluating the reservoir desilting body layout scheme.

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 provides an automatic cleaning mechanism for siltation of a road sewage draining exit, and belongs to the technical field of sewage draining exit siltation cleaning. Comprising a silt removal box body, a supporting frame is installed on the top of the silt removal box body, an alloy steel grid cover is hinged to the end of the supporting frame, a cover plate is installed at the front end of the silt removal box body, and a three-dimensional grid frame is installed at the bottom of the silt removal box body. By arranging the silt removal screen assembly and the drainage desilting assembly, it is effectively avoided that impurities such as leaves and branches are flatly laid and accumulated, sewage flowing is affected, the impurities are forced to pass through a screen in a three-dimensional form, water passing gap shielding is reduced, the instantaneous drainage capacity is improved, silting is prevented, silt and dirt in a sewage draining exit are actively stripped, and the limitation that traditionally, washing depends on rainfall is broken through; continuous dredging is achieved through mechanical force, the rainstorm working condition is automatically recognized, the drainage structure is dynamically adjusted, a double-anti-blocking mechanism enables a screen to normally intercept sundries and clean deposits in the conventional rainfall process, and the assembly is lifted to directly discharge flow in the extreme rainstorm process.

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.

An intelligent dredging system for a high-piled wharf and a control method thereof are provided, and the system includes an intelligent monitoring-decision control subsystem and a decentralized high-pressure water disturbance subsystem. The intelligent monitoring-decision control subsystem is composed of a high-precision pile-foundation sediment siltation warning device, a tidal monitoring device and a control terminal. The decentralized high-pressure water disturbance subsystem is composed of a water spraying device, a cable and a multi-loop power distribution device.

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 invention provides an engineering scheme post-evaluation method based on water flow and sediment deposition analysis, and relates to the technical field of hydraulic engineering, and the method comprises the steps: constructing an air-sky-ground integrated monitoring network, and synchronously collecting water flow parameters and sediment characteristic data of an engineering region; performing space-time alignment and error correction on the multi-source monitoring data by adopting an adaptive Kalman filtering and Bayesian network fusion algorithm to generate a fusion data set; establishing a water flow-sediment-engineering structure coupling model; and verifying the coupling model based on the fused data set. The air-space-ground integrated monitoring network is constructed, high-precision water flow and sediment data, the constructed coupling model and the comprehensive evaluation system are obtained and processed in combination with a specific algorithm, engineering is quantitatively evaluated from multiple dimensions, a reliable basis is provided for decision making, resource waste and potential safety hazards are avoided, the model simulation precision is improved through correction of a key equation, and the method is suitable for large-scale popularization and application. Potential problems can be found in advance, safety risks are reduced, and traditional technical problems are effectively solved.

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.