55 results about "Water dynamics" patented technology

The application relates to a water quality change trend rapid prediction method based on multi-source data fusion and physical constraints, and specifically comprises the following steps: step 1: synchronously collecting data such as spectrum information, DO, COD, temperature and pH at key monitoring sites, constructing a water dynamics-water quality coupling equation, and simulating the space-time dynamic distribution of water quality parameters; step 2: outputting a water quality sensitive area through a water dynamics-water quality model, screening sensor layout points by combining information entropy evaluation and spatial clustering, realizing low-cost water quality sensor network deployment through a multi-objective optimization algorithm, and calculating a water body global water quality distribution map by adopting a spatial interpolation method; step 3: analyzing main pollution sources according to the synchronous collection of spectrum information at key monitoring sites, and adopting principal component analysis and an attention mechanism neural network; step 4: based on real-time optical characteristic value-DO data, combining a spatial topological network, a water quality gradient and a cross-region covariance to capture the spatial correlation of water quality parameters between different points, and constructing an optical characteristic value-DO-COD dynamic prediction model; combining pollution tracing and spectrum characteristic correction to correct the COD prediction value, adopting ensemble Kalman filtering to assimilate multi-source data, and improving the model accuracy.

The application relates to a river flood discharge capacity dynamic evaluation and hydrological early warning method. The method comprises the following steps: based on a parameter sensitive observation subset, sequentially updating an initial hidden variable in a low-dimensional hidden space through an unscented particle filter algorithm to obtain an optimized hidden variable, and inputting the optimized hidden variable into a river dynamic resistance field generator based on an initial dynamic roughness field to perform decoding processing to obtain a dynamic roughness field of a current period; based on the dynamic roughness field and a state sensitive observation subset, performing analysis and update processing on a state variable field of a hydrodynamic model through a deterministic ensemble Kalman filter algorithm to obtain an assimilated water level field and a flow velocity field; according to the water level field, the flow velocity field and the dynamic roughness field, the maximum flood discharge capacity of a section is calculated in combination with dike top elevation data, and a flood discharge capacity dynamic index is calculated based on the maximum flood discharge capacity of the section and a current actual flow. The method can realize real-time dynamic quantification of river flood discharge capacity and predictive evaluation of flood risk.

The present application relates to a kind of lake reservoir type chlorophyll concentration prediction method, device and medium, method includes the following steps: obtaining the water quality, water dynamics and weather of the online automatic monitoring data of lake reservoir including forecast point and upstream point;The online automatic monitoring data is preprocessed, and the data after processing is obtained;The data after processing is carried out feature extraction to obtain the water quality feature and water dynamics index feature of forecast point and upstream point, and construct cumulative illumination feature;Upstream water quality feature, water dynamics index feature and illumination feature are input into the fusion prediction model pre-trained, to obtain upstream transport chlorophyll prediction result and time series influence chlorophyll prediction result, using error reciprocal method upstream transport chlorophyll prediction result and time series influence chlorophyll prediction result are fused;The chlorophyll prediction result obtained by fusion is output.Compared with prior art, the present application has the advantages of high accuracy, strong stability and the like.

The present application relates to the field of intelligent agriculture and automation control technology, in particular to a rice field precision irrigation system based on a microcontroller, comprising: reconstruction of hydrodynamic benchmarks, collection of water level and meteorological data, construction of an ideal water level curve reflecting an undisturbed state; injection of interference simulation, generation of wind wave interference and siltation drift factors, synthesis of a simulated interference curve; double-track differential extraction, construction of parallel path calculation real residual vector and theoretical residual vector; correlation decision steps: perform cross-correlation analysis to distinguish between real water shortage and environmental noise, execute irrigation or maintenance instructions by the microcontroller; the present application realizes decoupling of the topological characteristics of the water level signal, effectively filters out wind wave and siltation interference, avoids false start and stop of the water pump, and reduces equipment wear and energy consumption.

The present application relates to the technical field of water environment monitoring, and more particularly to a lake water environment monitoring method and system based on sensitive functional unit monitoring, which divides lake functional units with water depth, water dynamic connectivity and functional partitioning as constraints, forms unit-time data sets by fusing multi-source monitoring data, constructs a sensitivity index for identifying sensitive functional units through the coefficient of variation and the pressure index; determines the index weight and establishes a health baseline by using entropy weight-sensitivity coupling at the sensitive unit scale; calculates the health index and its changes by using a multi-time scale sliding window, realizes dynamic diagnosis of sudden deterioration and slow degradation; and identifies high-risk paths and key control units by calculating the health risk transmission intensity in combination with the water dynamic connectivity matrix. The present application realizes the fine characterization of the health status of the lake, the dynamic tracking of the time sequence evolution process, and the identification of the key risk transmission path, and provides reliable technical support for fine management and scheduling decisions of the lake.

The present application relates to the technical field of river dredging treatment, and relates to a river sludge treatment method based on dynamic simulation and optimized decision, obtains and processes historical and real-time multi-dimensional environmental data of a river to be treated and an influence area thereof, constructs a watershed process simulation system capable of simulating river water dynamics, sediment transport, pollutant migration and transformation and ecological response process, parameterizes definition of decision variables constituting a river treatment scheme, formal definition and setting of a multi-objective optimization problem, adopts a multi-objective optimization engine, embeds the watershed process simulation system as a core evaluation module into an optimization iteration loop, implements an optimized scheme, and continuously monitors environmental state changes during and after implementation, the present application can accurately predict long-term and short-term effects of different treatment schemes in terms of water dynamics, sediment, pollutant migration and transformation and ecological response, and solves the problem of sludge comprehensive treatment.

This invention discloses a method and system for synergistic analysis of pollution discharge and carrying capacity in static water bodies. Based on monitoring data of static water bodies, the method uses fluid dynamics equations to simulate the transport and diffusion behavior of pollutants in the static water body, obtaining the flow velocity field. The monitoring data of pollutant concentrations are input into a neural network model to predict continuous-time pollutant concentration sequences. Specifically, a convection-diffusion response equation is established based on the flow velocity field to construct the loss function of the neural network model. The maximum carrying capacity sequence of the static water body for the pollutants is calculated to quantify the pollution carrying capacity of the static water body. A water quality dynamic balance coefficient is calculated based on the pollutant concentration sequence and the maximum carrying capacity sequence to quantify the synergistic effect of pollution discharge and carrying capacity. This invention proposes the concept of synergistic discharge and carrying capacity for the first time, realizing the comprehensive ecological performance assessment of static water bodies such as lakes and reservoirs, and providing a new quantitative calculation method for the comprehensive water quality evaluation of static water bodies such as lakes.

This invention discloses a high-speed parallel water entry experimental launching device and method for a vehicle, belonging to the field of hydrodynamic experiments. It includes a supporting base, a parallel controller, a parallel launching assembly, and a power unit. The parallel launching assembly is mounted on the supporting base via the parallel controller, and the power unit provides launching power and adjusts the water entry velocity. The parallel launching assembly includes a first launching device and a second launching device arranged side-by-side, enabling parallel launching of two projectiles and adjustment of the launching angle. The parallel controller includes a parallel control mechanism and a spacing adjustment mechanism. The parallel control mechanism ensures the relative parallelism of the first and second launching devices, while the spacing adjustment mechanism adjusts the launching distance between the first and second launching devices. This invention has a simple and practical structure, is easy to assemble, has high reliability and durability, and exhibits good repeatability and safety, providing experimental assurance for studying the hydrodynamic characteristics of structures at the moment of water entry.

The application discloses a floating elastic disc and bottom-coupling cylinder coupling water dynamic force evaluation method and system, comprising: establishing a multi-structure wave action model; defining a global coordinate system, a disc local polar coordinate system and a cylinder local polar coordinate system; dividing a fluid region into a disc lower internal domain, an external domain and a cylinder non-inlet flow region; constructing a velocity potential expression satisfying seabed impermeability, a free liquid surface, water elasticity coupling, disc free boundary and cylinder wall impermeability conditions; through vertical characteristic function expansion and coordinate translation addition theorem, converting a diffraction interference relationship into an algebraic equation group; solving coefficients and calculating a wave diffraction field, disc response, free surface elevation, disc vertical exciting force and cylinder horizontal exciting force. The method can simultaneously consider wave interference between a flexible floating structure and a rigid fixed structure, water elasticity deformation and multiple scattering feedback, and provides a semi-analytical evaluation means for water dynamic response prediction of a floating photovoltaic unit and a single-pile foundation adjacent arrangement.

This invention provides a computer vision-based method for optimizing and intelligently monitoring urban flooding simulation, belonging to the field of flood model monitoring technology. The method includes: determining the study area and establishing a one-dimensional hydrodynamic model of the water network based on initial modeling data; using computer vision, segmenting and extracting land use data of the study area using the SegNet and U-Net algorithms, reshaping the underlying surface, constructing new land use data, and calculating new uncertainty parameters; comparing and analyzing the performance of the one-dimensional hydrodynamic model before and after updating the uncertainty parameters; and constructing a one- or two-dimensional surface coupling model combining the integrated flood forecasting model ITF-FLOOD with land surface flux. This one- or two-dimensional surface coupling model is used to simulate the depth and area of ​​surface water accumulation within the study area, completing the optimization and intelligent monitoring of urban flooding simulation. This invention can improve the simulation accuracy of urban flooding models and provide a more intelligent and convenient monitoring method for flood-prone areas.

The application discloses a method and device for modeling disturbed motion of a submersible based on water dynamic similarity guidance, and belongs to the technical field of motion control of submersibles. The method comprises the following steps: determining a similarity parameter representing the degree of water dynamic essential similarity between a source submersible and a target submersible according to the distribution correlation of a source dimensionless feature set and a target dimensionless feature set in a dimensionless feature space; inputting the target dimensionless feature set into a teacher network with fixed parameters to obtain intermediate layer features and interference parameter representations output by the teacher network; inputting the intermediate layer features, the interference parameter representations and the similarity parameter into a similarity attention mechanism module to generate a knowledge distillation signal; and inputting the target dimensionless feature set into a student network comprising a lightweight adaptive layer to train the student network so as to deploy a disturbed motion prediction model of the target submersible. The method can improve the accuracy of motion prediction of the submersible in a disturbance environment such as a strong current and a turbulent flow.

This invention discloses a system and method for detecting water dynamics information based on laser intensity modulation, comprising: a signal sensing and modulation transmission module, an optical signal receiving and conversion module, and a data acquisition and processing module connected in sequence; the signal sensing and modulation transmission module is used to sense water dynamic parameters and generate corresponding electrical signals, thereby modulating the output light intensity of the laser transmitter so that the intensity of the output laser carries water dynamics information; the optical signal receiving and conversion module is used to receive the modulated laser signal and restore it to an electrical signal; the data acquisition and processing module is used to acquire, process, and analyze the electrical signal to extract the water dynamics information. This invention, by adopting a simplified technical approach of laser intensity modulation and direct detection, replaces the traditional complex frequency modulation system, successfully solving the long-standing core problems in the field of water dynamics detection: high equipment cost, system complexity, and difficulty in widespread adoption.

The application relates to the field of urban water environment and pollution control technology, and discloses a new pollutant simulation method for urban river network, which comprises the following steps: obtaining hydrographic data of a target river network region, collecting concentration measured data of a target pollutant in water and sediments, constructing a coupled hydrology-pollutant transmission model, setting initial parameters of the model, and outputting the spatial and temporal distribution of the pollutant by running the model; emergency simulation of a sudden pollution event, wherein the influence range is output within 10 minutes after inputting accident discharge parameters; long-term pollution trend prediction, which supports scenario analysis on a 5-10 year scale. A city drainage correction term is introduced by improving the Saint-Venant equation set, and the parameters are optimized in combination with measured data, so that the accuracy of hydrological simulation of the urban river network is significantly improved; compared with a traditional method, the Nash efficiency coefficient is improved from 0.68 to 0.79, so that the simulation of the water dynamics of the urban river network is more accurate, and a more reliable basis is provided for the design of the urban drainage system and flood warning.

The present application belongs to the technical field of environmental hydraulics, and relates to a reservoir operation scheduling carbon transport characteristic research method, device and computer equipment. The method comprises the following steps: constructing a three-dimensional reservoir carbon transport monitoring network to obtain basic data of the carbon transport process; based on the basic data, a water dynamics-water quality coupling model for simulating the carbon transport process is constructed, and the water dynamics-water quality coupling model is verified by using monitoring data; the operation scheduling characteristics are quantified, and scheduling characteristic parameters affecting the carbon transport are extracted; a carbon flux accounting model considering the influence of scheduling is established to quantify the influence of scheduling on carbon budget; a quantitative relationship between the carbon transport characteristic parameters and the scheduling characteristic parameters is established; based on carbon environmental constraints, scheduling optimization evaluation is carried out, the carbon target is included in the scheduling optimization system, and a low-carbon scheduling scheme is proposed. The present application has systematicness and dynamicity, realizes quantitative evaluation of carbon transport, has practicability, can be popularized to carbon cycle research of other types of water bodies, and has expansibility.

The application relates to the technical field of flood control simulation, and discloses a cross-region flood control and waterlogging elimination coupling simulation method. The application guarantees the uniformity and reliability of input data by obtaining standardized input data sets. Further, the cross-region water dynamic interaction influence simulation is carried out, and a correlation matrix is calculated, the water force influence degree and propagation time between regions are quantified, the space-time correlation between regions is established, and the decision-making island mode is broken. Further, the asynchronous game model is used to optimize the strategy and generate a time sequence, the physical propagation law can be integrated into the decision-making, the decision-making conflict caused by the traditional synchronous assumption is solved, the change from local optimization to global coordination of the flood control and waterlogging elimination decision-making is realized, and the decision-making efficiency and scientificity of the whole basin are improved.

The present application belongs to the field of river and lake hydrodynamic water environment simulation and water resources regulation, and relates to a water dynamic water quality rapid simulation and emergency regulation method and device integrating artificial intelligence, the method comprising the steps of: constructing a training data set based on historical hydrological sequences; constructing a shallow lake hydrodynamic proxy model based on a physical information neural network; implementing grid scale mass conservation constraints and flow flux correction; performing multi-parameter synchronous rapid prediction of the hydrodynamic field; performing rapid solution of typical water quality element transport and overall model performance evaluation; and implementing differentiated emergency regulation for sudden pollution events during water diversion and non-water diversion periods. The present application takes into account physical reliability and prediction timeliness, realizes a magnitude leap in calculation efficiency, has differentiated emergency regulation capability, can deduce the spatio-temporal evolution characteristics of pollution groups under different working conditions, and provides scientific support and efficient tools for daily management of river and lake water environment and emergency regulation and decision-making for sudden water pollution events.

The application discloses a kind of numerical simulation method and system based on fracture mechanics of water turbine blade failure process, comprising: introducing initial crack defect in blade three-dimensional geometric model;Based on the blade three-dimensional geometric model, the joint simulation of hydrodynamics and structural mechanics is carried out to the blade, and the stress and strain distribution of crack tip region is obtained;From the stress and strain distribution of crack tip region, the key parameters of crack tip are extracted;Using the key parameters of crack tip, according to crack propagation criterion, the crack propagation rate and propagation path are determined;In the process of crack propagation, the grid is dynamically encrypted and reconstructed, the crack front position is updated, until the crack reaches critical condition, and the failure life prediction result of blade is output, the method and system can not only predict crack propagation rate and path, but also determine the critical life of blade, realize the whole process simulation of crack from initiation, expansion to final fracture.

The application relates to the technical field of concentration monitoring, in particular to a groundwater pollution concentration real-time monitoring method and system. The method comprises the following steps: acquiring water level and concentration sequences; performing baseline decomposition on the two sequences to obtain a short-time fluctuation sequence, calculating a threshold value through a standard deviation, and obtaining a water level fluctuation point set and a concentration fluctuation point set; determining a correlation weight based on the time difference between the water level and the concentration, and matching based on the correlation weight; calculating a short-time fluctuation response coefficient based on the corresponding amplitude and the correlation weight after successful matching; determining a water dynamic correlation component estimation value by correcting the water level and the concentration based on the short-time fluctuation response coefficient; determining a drift increment based on the regression slope after baseline difference fitting and an analysis window, and updating a zero-point drift value; after temperature compensation of real-time concentration, using the updated zero-point drift value to perform addition and calibration to obtain concentration calibration data, and completing real-time monitoring. The application improves the reliability of monitoring data.

The application discloses a kind of water power analysis method and system, the method includes establishing the wet surface model of offshore comprehensive test platform;Extract the strut structure data of the slender body feature in wet surface model, and the strut structure data is generated morrison model;Water dynamic model is constructed based on wet surface model and morrison model, and water dynamic calculation result is obtained by using the water dynamic model calculation wave load transfer function;Water dynamic calculation result is analyzed to obtain final analysis result by the form of numerical list and broken line chart.The application can more accurately simulate the actual stress condition of offshore platform under the action of wave, so as to improve the effectiveness and reliability of design.

This invention discloses a method for dynamic monitoring and inversion of vegetation moisture based on the GNSS reflection geometric response index, belonging to the field of GNSS remote sensing inversion and surface ecological parameter monitoring technology. This invention solves the problems of existing GNSS-R vegetation moisture indices, such as reliance on empirical normalization, sensitivity to observation geometry, and difficulty in long-term stable comparative analysis. This invention utilizes direct sunlight and surface reflection signals observed by a ground-based GNSS receiver during continuous observation. Based on the response characteristics of the reflection signals to changes in satellite geometry, a vegetation reflection geometric response index is established to characterize the changing features of vegetation moisture status. This invention uses the establishment of a reflection response function and the extraction of geometric sensitivity parameters and stable historical reference states to quantitatively characterize vegetation moisture changes. This reduces the impact of noise interference or abnormal observations, eliminates the need for inversion using external remote sensing products or ground-based measured data, and is suitable for long-term continuous vegetation moisture monitoring in various climatic zones and vegetation types.

This invention discloses an integrated pipeline irrigation and drainage collaborative optimization model construction method and system, relating to the field of farmland water conservancy engineering technology. The method includes: acquiring basic data to determine irrigation and drainage design flow rates; constructing an initial pipeline network topology based on this, establishing a pipeline network life-cycle resource cost assessment function and hydraulic constraints; using a non-dominated sorting genetic algorithm to iteratively obtain a set of pipeline network configuration schemes; in drainage mode, acquiring actual water level receding time-series data; performing drainage simulation based on a hydrodynamic model to output simulated time-series data; retrieving the actual friction coefficient caused by sediment deposition within the pipeline with the goal of minimizing the error between the two; before switching to irrigation mode, feeding back the actual friction coefficient to the hydraulic constraints for re-optimization, and outputting a corrected water distribution strategy. This method can dynamically compensate for changes in pipe wall resistance caused by sediment, ensuring pump head matching and stable terminal water pressure. This invention also provides a collaborative optimization system for executing the above method.

The application discloses a kind of river basin joint scheduling hydrology hydrodynamic coupling flood simulation method and system, the method comprises: collecting multi-source river basin data and carrying out standardization pretreatment to obtain pretreatment river basin data;Hydrology and hydrodynamics model based on two-way coupling mechanism are used to carry out real-time coupling flood simulation calculation to pretreatment river basin data, to obtain coupling flood simulation result;By pre-set engineering scheduling priority matrix, linkage coefficient dynamic calculation formula, conflict resolution strategy tree, extreme working condition scheduling step and global collaborative constraint, the coupling flood simulation result is processed to output initial scheduling scheme;Based on flood control safety target, water resources utilization target and engineering safety target, the initial scheduling scheme is iteratively optimized using improved NSGA-II algorithm to output optimal scheduling scheme set;The method can improve the real-time and accuracy of hydrology hydrodynamic coupling, realize the quantification and precision of multi-engineering scheduling.

The application provides a sand suction and filling multi-arm cooperative control algorithm based on kinematics and dynamics coupling, comprising the following steps: S1: water dynamic disturbance field full working condition data acquisition and feature library construction; S2: multi-arm kinematics modeling and unified mapping of working space; S3: construction of a multi-arm kinematics-dynamics coupling model embedded with a water dynamic disturbance adaptive compensation term; S4: multi-arm task-dynamics coupling distribution based on an improved parasite-prey algorithm; S5: trajectory-task bidirectional coupling planning based on a fractional order pseudospectral method; S6: multi-arm-filling cooperative closed loop control based on a port-controlled Hamilton fractional order passive control; and S7: real-time acquisition of sand suction and filling parameters and full system closed loop feedback. Through deep coupling modeling of kinematics and dynamics and bidirectional cooperative optimization of core control algorithms, the application realizes high-precision, high-stability and high-efficiency cooperative control of multi-arm sand suction and filling operation in a dynamic water environment.

The present application relates to the technical field of water conservancy dispatching and water resources management, and particularly relates to a reservoir-gate-pump group water resources optimal dispatching method suitable for irrigation areas. The method comprises the following steps: receiving water resources optimal allocation of the irrigation area; obtaining water conservancy engineering data of the irrigation area, and constructing a water conservancy engineering topology relationship of the irrigation area according to the water conservancy engineering data of the irrigation area; respectively establishing a canal system one-dimensional hydrodynamic model, a gate flow calculation model and a pump station operation model according to the water resources optimal allocation of the irrigation area and each engineering parameter in the water conservancy engineering data of the irrigation area; coupling the canal system one-dimensional hydrodynamic model, the gate flow calculation model and the pump station operation model to construct a water resources dispatching efficiency optimization model; solving the water resources dispatching efficiency optimization model by using a preset simulation-optimization coupling solving method, so as to output a final dispatching scheme. The present application realizes the transformation of the water resources allocation of the irrigation area from static allocation to dynamic executable dispatching as a whole, and improves the water resources utilization efficiency and the dispatching accuracy.

The utility model belongs to chemical industry device technical field, concretely relates to a circulating water dynamic simulation experiment device, including the water inlet jar, the water inlet jar is connected with the test platform, is provided with a plurality of water guide pipes in the test platform, is provided with the auxiliary pipe respectively on a plurality of water guide pipes, is provided with the heat exchange cover outside water guide pipe, is provided with the filter membrane subassembly inside water guide pipe, is provided with the auxiliary main pipe between the water inlet jar and the test platform, the test platform is connected with the monitor, the monitor is connected with the buffer tank, and the buffer tank is connected with the water inlet jar. The utility model discloses through adjusting the temperature, auxiliary agent and flow rate etc. condition test circulating water's processing effect of circulating water, has realized to different circulating water selection different processing mode, has improved the processing efficiency of circulating water.

The application relates to the technical field of flood disaster prediction, and discloses a model-coupled lake area water level prediction method, a medium and computer equipment. The prediction method comprises the following steps: establishing a two-dimensional mathematical water dynamic model to obtain an optimal water level prediction neural network model; obtaining actual measurement values of upstream water levels; taking predicted downstream water level prediction values as downstream boundary values of the two-dimensional mathematical water dynamic model, and taking the actual measurement values of the upstream water levels as upstream boundary values; running the two-dimensional mathematical water dynamic model to output water level data conforming to physical laws; respectively establishing neural network models for prediction sites in the lake area to realize point water level prediction based on physically consistent labels; and dynamically updating and outputting water level prediction values. Effects are as follows: physical consistency is maintained, and the physical credibility of prediction results is improved; downstream boundary conditions are dynamically updated in response to real-time hydrology, and the method is suitable for lake area water level prediction scenarios; high-dimensional field simulation and low-dimensional key point prediction are decoupled, and prediction accuracy is improved.

This invention discloses a DEM-CFD coupled model calculation method for reflecting the hydrodynamic erosion characteristics of soil-rock mixtures. The method includes: establishing a DEM computational domain for the sample and setting constraint boundaries; determining the material parameters, contact parameters, and fluid parameters of the sample; generating non-overlapping soil particles and rock particles step-by-step within the computational domain; calculating the mass of the soil particles and rock particles; and constructing DEM models of soil-rock mixtures with different proportions based on different rock contents; establishing a CFD fluid computational domain and dividing the fluid mesh, setting flow and outflow boundary conditions; and bidirectionally coupling the DEM module and the CFD module to simulate and calculate the hydrodynamic erosion process of the soil-rock mixture. This invention, by assigning different material and contact parameters to soil particles and rock particles respectively, and combining model construction under different rock contents with DEM-CFD bidirectional coupled calculation, achieves the computational analysis of fine particle migration, loss, and the hydrodynamic erosion evolution process of soil-rock mixtures under seepage.

The application provides a method for predicting water dynamic moment of an underwater mechanical arm, which can be applied to the technical field of underwater robots. The method comprises the following steps: for the i-th section of the underwater mechanical arm, an initial water dynamic moment model of the i-th section is constructed based on flow parameters, mechanical arm parameters, dimensionless resistance coefficients and added mass coefficients, the underwater mechanical arm is evenly divided into N sections along the axial direction, i is an integer greater than or equal to 1 and less than or equal to N; the initial water dynamic moment model of the i-th section is converted into a linear model of the i-th section based on the correlation between the dimensionless stroke ratio and the dimensionless resistance coefficient and the added mass coefficient; the water dynamic coefficients in the linear model of each of the N sections are decoupled by using a least square algorithm, and a coefficient discrete sample set is obtained; the coefficient discrete sample set is spline fitted by using a least square algorithm based on a residual vector, and a target coefficient curve is obtained, so that the water dynamic moment of the underwater mechanical arm can be predicted by using the target coefficient curve.

The present application is suitable for the technical field of soil and water conservation and erosion ditch repair management, and provides an erosion ditch head soil body configuration and form identification method and system based on AI, which comprises: obtaining repair feedback results of first samples and second samples, and determining the change trend of the repair feedback results of the first samples with the water dynamic amplification factor; and analyzing whether the following change characteristics exist: the change trend is continuously higher than the target standard at the initial stage, but when the water dynamic amplification factor exceeds a certain threshold, the repair feedback result is lower than the target standard and continuously decreases; and the repair feedback result of the second sample always remains above the target standard. The technical scheme of the present application realizes the change of the erosion ditch treatment decision from experience driving to data driving and feedback driving, can effectively reduce the occurrence probability of repair effect deviation, improve the long-term stability and engineering implementation efficiency of erosion ditch treatment under complex water dynamic conditions, and has good popularization and application prospect.

The invention discloses an underground space bright and full flow two-dimensional numerical simulation method and related equipment. The method comprises the following steps: initializing a flow field state variable of a two-dimensional unstructured grid corresponding to an underground space; combining the bottom plate elevation and the top cover elevation of each grid unit, reconstructing the interface left and right states of each grid unit, and determining the interface reconstruction state quantity and the reconstruction water depth; calculating an equivalent wave velocity and a pressure item based on the interface reconstruction state quantity and the reconstruction water depth, and calculating an interface numerical flux of each grid unit; according to the floor elevation and the flow field state variable of each grid unit, calculating a source item vector containing a terrain slope source item and a friction source item; and calculating a flow field state variable at the next moment by utilizing a time stepping format according to the source item vector and the interface numerical flux of each grid unit. The method can realize stable and efficient numerical simulation of the clear and full flow of the complex underground space, and can be widely applied to the technical field of hydrodynamic numerical simulation.