2109 results about "Hydraulic engineering" patented technology

The invention relates to a reservoir dam operation safety sky-land project intelligent sensing system and an operation method, and relates to the technical field of hydraulic engineering safety monitoring. The system is composed of a sky-land water conservancy project integrated monitoring and sensing system, a self-adaptive sampling module, a layered distributed architecture and a software and hardware integrated module, and multi-source data such as deformation, seepage, stress strain, vibration and environmental quantity are cooperatively collected through five dimensions of sky domain, airspace, territory, water domain and work domain. The monitoring frequency is dynamically adjusted by using an adaptive sampling strategy, and data cleaning, standardization, space-time registration and fusion processing are completed through a distributed architecture to generate a high-quality comprehensive data set. The system can realize total-factor and whole-process refined monitoring, effectively eliminates data islands, improves data quality and monitoring efficiency, has high reliability, real-time performance and expandability, and provides powerful data support and decision basis for dam safety assessment and intelligent early warning.

The invention discloses a dam safety monitoring agent system based on a multi-dimensional large model and digital twinning, and belongs to the technical field of safety monitoring of water conservancy and hydropower engineering. According to the method, a cognitive decision kernel is used as a core innovation module, multi-source data is collected by relying on a sky-ground hydraulic engineering integrated sensor network, cross-modal data fusion and anomaly recognition are achieved through a multi-dimensional large model cluster, and multi-physics coupling simulation is completed in combination with a digital twinborn body; the cognitive decision kernel generates an optimal combination scheme through case retrieval and measure unit adaptation degree calculation, a control instruction is output after digital twin rehearsal verification, and finally closed-loop control of dam safety real-time early warning, autonomous decision making and efficient disposal is achieved through an autonomous response mechanism. The problems of data island, passive response, expert dependence and the like of a traditional monitoring system are solved, the dam safety management intelligent level and the emergency response capability are remarkably improved, and the method has wide engineering application value.

The invention relates to the crossing field of hydraulic engineering hydrological monitoring technology and machine learning prediction technology, discloses a sediment concentration prediction method based on deep learning, and aims to solve the problems that in existing sediment concentration prediction, hyper-parameter manual tuning is low in efficiency, key feature attention is insufficient, local and time sequence information is difficult to consider by a single model and the like. Accurate prediction is realized through five core modules: a data preprocessing module performs missing value filling, abnormal value processing and derivative feature generation on hydrological data; the feature selection module screens key features based on mutual information; the time sequence construction module generates time sequence data through a sliding window; the hyper-parameter automatic optimization module adopts Bayesian optimization iteration to obtain an optimal hyper-parameter; the CNN-LSTM-attention prediction module fuses CNN local feature extraction, bidirectional LSTM time sequence dependence capture and multi-head self-attention mechanism key feature focusing capability, is suitable for scenes such as river channels and channels, and provides efficient decision support for hydrological regulation and control.

The invention relates to the technical field of hydraulic engineering monitoring, and discloses a hydraulic engineering operation risk monitoring management system based on multi-sensor fusion. The system comprises a data acquisition module, a data fusion module, an early warning and instruction generation module, and an instruction distribution and verification and correction module. The data acquisition module acquires structural deformation, water flow pressure and environment temperature and humidity data in real time through multiple types of intelligent sensors; the data fusion module inputs the collected data into a dynamic weighted fusion model, and generates a comprehensive monitoring index in combination with a sensor confidence coefficient weight and a historical data deviation rate; the early warning and instruction generation module triggers multi-stage early warning and generates an equipment regulation and control instruction set according to the comprehensive monitoring index and a preset safety threshold value; the instruction distribution module distributes the instruction to an execution terminal through a distributed message queue; and the verification and correction module checks terminal feedback signals by using a back propagation verification mechanism, and corrects the confidence coefficient weight of the model.

The invention relates to the related technical field of engineering pipeline detection, in particular to a pre-embedded hydraulic engineering pipeline pressure resistance detection device which comprises a base and a mounting frame fixedly mounted on the base, a sliding plate is slidably arranged on the base, and clamping pieces are symmetrically arranged on the sliding plate; the pressure testing mechanism is mounted on the mounting frame and comprises a limiting ring and a plurality of elastic detection pieces distributed along the circumference of the limiting ring; the reciprocating pushing piece is mounted on the mounting frame and is connected with the elastic detection piece; the intermittent driving part is mounted on the base, the plurality of elastic detection parts are controlled to rotate relative to the pipeline through temporary detection work intermittence of the elastic detection parts, and the pipeline can move relative to the elastic detection parts, so that the elastic detection parts can capture thin-wall and concave areas caused by non-uniformity of an extrusion die at different angles of the pipeline; and meanwhile, local strength insufficiency caused by defects of the extrusion die on the pipeline is rapidly positioned.

The invention relates to the technical field of hydraulic engineering safety monitoring, and discloses a dam safety studying and judging method based on monitoring data multi-physics field simulation, which comprises the following steps: S1, multi-source data acquisition and time-space alignment; s2, dynamically updating the numerical model; s3, safety evaluation and early warning decision making; s4, performing multi-source risk coupling analysis; and S5, issuing the early warning information in a multi-mode manner. According to the method, time-space reference unification of multi-source monitoring data is achieved through feature point matching and sliding window cross-correlation analysis, a self-adaptive Kalman filtering algorithm is adopted to dynamically invert permeability coefficients and elastic modulus parameters, and boundary conditions of a finite element model are adjusted in combination with real-time water level changes; the dynamic simulation precision of a seepage field-displacement field-stress field coupling model is improved, the static evaluation limitation of a fixed threshold value method is broken through through a three-dimensional time-varying safety envelope surface and a Bayesian network grading early warning decision tree, and the risk prediction capability in the flood routing process is enhanced through multi-parameter joint probabilistic reasoning.

The utility model discloses an efficient drainage ditch excavation device based on an adjustable shaping excavator bucket, and relates to the technical field of municipal engineering and hydraulic engineering construction. Different design requirements are met by hydraulically adjusting the size of the bucket, the bucket body is formed at a time, manual finishing and template use are reduced, the construction cost is reduced by more than 20%, the excavation precision is controlled by combining GPS positioning and real-time measurement, the groove longitudinal slope and elevation precision is ensured, and the construction efficiency is improved. One-time forming of the drainage ditch and synchronous outward transportation of spoil are achieved, and site accumulation is avoided. According to the scheme, the construction efficiency and quality are remarkably improved, and the method is suitable for municipal drainage engineering under soil texture and strong weathered rock geological conditions.

The invention relates to the technical field of water conservancy control, and discloses a water conservancy project cofferdam gate control system based on a PLC, and the system comprises a hydraulic drive and detection assembly and a controller. A discrete state observation module, a disturbance characteristic identification module, a virtual axis parameter scheduling module and a control law synthesis module are configured in the controller. The discrete state observation module reconstructs a system state and estimates total disturbance; the disturbance characteristic identification module judges normal, jamming or turbulent working conditions according to the disturbance characteristics; the virtual axis parameter scheduling module adjusts the virtual stiffness and the damping coefficient in real time according to the working condition, or executes an asymmetric auxiliary escape strategy; the control law synthesis module combines state feedback and feed-forward compensation to generate a control voltage. Through multi-modal parameter scheduling, water flow impact and non-linear friction interference are effectively overcome, decoupling under the turbulent working condition and flexible protection and auxiliary escape under the jamming working condition are achieved, and the synchronization precision and safety of gate control are improved.

The invention relates to the technical field of water conservancy project cofferdam construction, and discloses a cofferdam backfill supporting device which comprises a filler pipeline, a guide part is arranged on the filler pipeline, a positioning groove is formed in the outer wall of the filler pipeline, a supporting part is arranged on the filler pipeline, and the supporting part comprises a first supporting ring and a second supporting ring. The first supporting ring is slidably connected with the outer wall of the filling pipeline, a support is fixedly connected between the first supporting ring and the second supporting ring, a positioning part is arranged on the support and comprises a rod sleeve, and the rod sleeve is fixedly connected to the support. The guiding part and the supporting part are matched to avoid inclination and deviation of the pipeline, the positioning part and the calibration part are matched to improve the hole site calibration precision, the limiting part achieves conflict-free switching between the calibration part and backfill material injection, finally it is guaranteed that backfill materials are evenly filled, the problems of scattering and cavities do not exist, and the requirements for cofferdam impermeability and structural stability are met.

This invention relates to the field of hydraulic engineering, and more particularly to a method for safety assessment and optimization design of large-flow aqueduct structures. The method includes: collecting displacement, strain, and temperature monitoring sequences based on a triple probe, completing grouping, coordinate and time registration, and establishing a monitoring baseline; constructing a spatial model including support nonlinearity and fluid-structure boundary conditions, applying loading conditions, and obtaining response predictions; aligning monitoring and prediction in time and location, performing hierarchical Bayesian filtering inversion, and obtaining parameter posteriors and structural health; under the integration of in-service monitoring and accelerated degradation characteristics, using multi-task learning to generate material evolution and lifespan intervals, and automatically generating and simulating optimization schemes under reliability and maintainability constraints. This application forms a closed loop from assessment to design, effectively enhancing data comparability, traceability of uncertain information, and adaptability of the scheme to engineering projects.

The invention belongs to the technical field of hydraulic engineering, and provides a dam monitoring method based on data anomaly detection, which comprises the following steps: S1, acquiring multi-source heterogeneous data generated in a dam operation process, and performing time synchronization, data cleaning, missing value filling and normalization processing on the multi-source heterogeneous data; s2, aiming at the preprocessed multi-source heterogeneous data, extracting feature vectors of data modals respectively, and carrying out preliminary splicing and fusion on the feature vectors to form an initial multi-modal feature sequence; s3, inputting the initial multi-modal feature sequence into a mixed space-time diagram attention network, and outputting a high-dimensional space-time feature sequence containing dynamic relevance; s4, inputting the high-dimensional spatial-temporal feature sequence into a multi-view Transform decoder for prediction, and outputting a prediction time sequence of the key safety index; and S5, based on the prediction time sequence of the key safety indexes, comprehensively evaluating the future overall safety state of the dam through a multi-index decision evaluation model.

The invention relates to the technical field of water conservancy projects, in particular to an anti-seepage control system for an earth rock cofferdam. The method comprises the following steps: periodically acquiring external hydro meteorological data and internal structure response data of a cofferdam through a sensor group based on a monitoring unit; establishing a multi-field coupling model based on a finite element method through a model building unit, and dynamically coupling a wave load, a tidal water level and an osmotic pressure field; the minimum cofferdam crest elevation is determined by comparing the difference between the minimum safety coefficient and a preset safety coefficient on the basis of a decision-making unit; and based on the analysis unit, inputting the minimum cofferdam crest elevation into the multi-field coupling model to obtain the maximum value of the hydraulic gradient of the escape point of the downstream slope within a third preset time period, determining an anti-seepage state based on the maximum value, and adjusting related parameters based on the anti-seepage state. The seepage risk of the cofferdam is monitored, predicted and actively controlled in real time, so that the seepage rate of the earth rock cofferdam is reduced.

The invention provides a safety monitoring method and system applied to a small reservoir dam, belongs to the field of water conservancy project management, and is used for solving the problem that the safety risk of the small and medium reservoir dam is difficult to evaluate timely, comprehensively and accurately in the related technology. Risk conditions of a small reservoir dam can be comprehensively analyzed from multiple dimensions of real-time ground seepage flow, seepage pressure and surface deformation conditions, environmental risk influences are determined through environmental monitoring data, trend risk influences are determined through the seepage flow, the seepage pressure and the surface deformation conditions, and finally a comprehensive risk value is determined. The comprehensive risk value can evaluate the safety risk condition of the dam in time, comprehensively and accurately, which is beneficial to better execution of dam management work so as to guarantee the life and property safety of downstream people.

The invention discloses a displacement monitoring device for a fast gate of an impedance type surge chamber, and relates to the technical field of hydraulic engineering, the displacement monitoring device comprises a steel wire rope, a steering assembly, a swing arm assembly and a displacement sensor, the steering assembly comprises a pulley yoke and a first fixed pulley, and the pulley yoke is installed on a surge chamber platform and arranged over the fast gate in an opposite mode; the first fixed pulley is installed on the pulley frame, the swing arm assembly comprises a swing arm, a swing arm frame, a second fixed pulley and a hydraulic damper, the swing arm frame is installed on the surge chamber platform, the hinged end of the swing arm is installed on the swing arm frame, the second fixed pulley is installed at the swing end of the swing arm, and the hydraulic damper is connected between the swing arm frame and the swing arm; the displacement sensor is arranged on the surge chamber platform; the lower end of the steel wire rope is connected to the quick gate, the upper end of the steel wire rope extends to the water surface and sequentially bypasses the first fixed pulley and the second fixed pulley to be connected to the displacement sensor, and the displacement sensor is used for obtaining displacement of the upper end of the steel wire rope to monitor vertical displacement of the quick gate.

The utility model belongs to the technical field of hydraulic engineering, and discloses a pipeline cleaning device for hydraulic engineering, which comprises a vertical plate, a round block is movably sleeved in the top end of the vertical plate, and a cross rod is fixedly sleeved in the round block. According to the pipeline cleaning device, the moving block, the first hinge rod, the cleaning brush and the second hinge rod are arranged, an operator inserts the cross rod into a pipeline, the pipeline and the cross rod are kept on the same axis, then the first pneumatic cylinder is started, the first pneumatic cylinder can drive the moving block to move leftwards, and therefore the first hinge rod can push the cleaning brush outwards; a first hinge rod is matched with a second hinge rod, so that a cleaning brush can move outwards while keeping horizontal so as to be attached to the inner walls of pipelines of different sizes, then an operator starts a first motor, a circular shaft drives a transverse rod to rotate, and therefore the cleaning brush can clean the pipelines of different sizes; and the use of operators is facilitated.

The invention discloses a collaborative safety evaluation method and system for a water conservancy project dam and a slope, and relates to the technical field of water conservancy project safety monitoring and evaluation, and the method comprises the steps: constructing a safety evaluation index system based on a structure overall deformation index, a seepage index, a joint crack index and a material response index; based on a safety evaluation index system, a multi-source monitoring data set is acquired, reverse modeling is performed by using a cloud model, a t-Copula function is introduced to describe a tail joint dependence structure of each index under an extreme working condition, and the overall operation state of the structure is judged by calculating a multivariable collaborative membership degree and combining a standard grade cloud picture. According to the method, the limitation on index independence hypothesis in a traditional evaluation method is broken through, the capability of identifying the collaborative instability mode under the extreme working condition is achieved, the robustness of safety evaluation and the sensitivity of early warning are remarkably improved, and the method is suitable for risk identification and intelligent diagnosis of water conservancy project dams and slopes.

The invention provides an intelligent grouting system for a water conservancy project and a control algorithm, and the system comprises a control cabinet which is internally integrated with at least two independent grouting pipelines; the control module is used for mode selection, parameter input, state display and instruction issuing; the data acquisition module is used for acquiring grouting data of a grouting pipeline and transmitting the grouting data to the control module, and the grouting data comprises pressure, flow and internal slurry density data; the execution module comprises a stop valve used for controlling on-off of grout in the grouting pipeline and a flow adjusting valve used for controlling the flow in the grouting pipeline. The control module comprises a function selection unit which is used for responding to user operation and switching among three working modes of drilling flushing, water pressing testing and grouting; the parameter input unit is configured with a standardized parameter input interface and has a parameter storing and calling function; according to the invention, the control precision and efficiency can be obviously improved.

The invention provides a digital twin hydraulic engineering operation and maintenance monitoring system and method based on multi-modal data, and belongs to the technical field of hydraulic engineering and digital twin. The method comprises the following steps: determining a plurality of sub-unit systems of a target water conservancy project to be monitored, and constructing a corresponding digital twin sub-model for each sub-unit system to obtain a digital twin engineering model of the target water conservancy project; acquiring multi-modal historical monitoring data related to the target water conservancy project; based on the multi-modal data, determining a construction environment of a digital twinborn model; mapping each digital twinning sub-model to a construction environment, and running a digital twinning engineering model; and acquiring multi-modal real-time monitoring data related to the target water conservancy project in real time, inputting the multi-modal real-time monitoring data into the digital twin engineering model, and performing operation and maintenance monitoring on the target water conservancy project. According to the method, the rigid-flexible container adaptive model is adopted, so that the cloud resource calling cost can be reduced while the visual operation and maintenance of the water conservancy project are realized and the monitoring efficiency and accuracy are improved.

The invention provides an intelligent gate control method based on deep reinforcement learning, and relates to the technical field of hydraulic engineering, and the method comprises the steps: obtaining the operation state information of a gate control system at the current moment, carrying out the preprocessing, obtaining a system state vector, inputting a deep network control model, and obtaining a state action value function value through calculation; selecting a target gate control action based on the state action value function value to obtain a gate opening value, and updating the state of the gate control system by using a hydraulic physical model to obtain a state transition sample; using the state transition sample to train and update the deep network control model to obtain a trained deep network control model; and analyzing the system state vector at the next moment by using the trained deep network control model to obtain an optimal gate control action. The problem that in the prior art, it is difficult to autonomously learn a control strategy and improve the water level control precision in a complex, dynamic and uncertain environment is solved.

The invention discloses a water conservancy project slope measurement method based on deep learning, and particularly relates to the technical field of water conservancy project measurement. Acquiring a remote sensing image and digital elevation model data of a to-be-measured area, and constructing a multi-scale remote sensing and topographic feature data set; performing gradient prediction by using a deep neural network model containing a multilayer convolution structure and residual connection, and generating a pixel-level gradient value distribution diagram; performing curved surface fitting and abnormal point correction on the key section to form a continuous and consistent gradient measurement result map; and finally, performing error comparison on a measurement result and historical measured data, outputting an error analysis report, and automatically adjusting model parameters based on error feedback to complete continuous optimization. The method has high precision, high adaptability and intelligent optimization capability, is especially suitable for gradient extraction tasks of complex landforms or engineering control areas, and significantly improves the measurement efficiency and result reliability in water conservancy projects.

The invention discloses light soil with a bionic multilayer structure for water conservancy slope protection and a preparation process of the light soil, and belongs to the field of water conservancy slope protection materials. In order to solve the problems that an existing slope protection material is poor in mechanical stability and ecological vegetation compatibility and prone to interlayer stripping, the light soil is integrally formed into a high-strength framework core layer, an ecological nutrition transition layer and an anti-scouring vegetation surface layer from inside to outside, and the volume ratio of the three layers is 5: 3: 2-6: 2: 2; the core layer contains light foam concrete, fibers and nano silicon dioxide, the transition layer contains porous ceramsite and slow release fertilizer, and the surface layer contains mixed seeds and anti-erosion fibers. During preparation, interlayer meshing is realized by vibrating and embedding the transition layer before initial setting of the core layer, and demolding is performed through standard curing. The anti-scouring flow velocity of the product is larger than or equal to 2.0 m / s, the interlayer shear strength is larger than or equal to 0.2 MPa, the three-month vegetation coverage rate is larger than or equal to 60%, mechanical protection and ecological functions are considered, and the method is environmentally friendly, economical and suitable for slope protection projects of rivers, reservoirs and the like.

The utility model discloses a dam grouting cover plate concrete pouring formwork lifting device, and relates to the technical field of water conservancy projects, in particular to a dam grouting cover plate concrete pouring formwork lifting device which comprises a combined steel formwork, and the upper surface of the combined steel formwork is fixedly connected with a supporting plate. A guardrail A is fixedly connected to one side of the supporting plate, and a steel frame is fixedly connected to the other side of the upper surface of the combined steel formwork. During use, after a grouting cover plate foundation is excavated, a winch is installed on the top of the foundation, a balance weight is made, the combined steel formwork is connected through a steel rope, the winch is used for moving the combined steel formwork to the position where concrete is poured, a formwork balance weight block is installed on the combined steel formwork to be fixed after the balance weight is determined, and the formwork balance weight block is moved out after the concrete is poured. And the combined steel formwork is lifted to the position of the next bin to be fixed through a winch, and after the combined steel formwork is lifted, a specially-assigned person is dispatched to the operation platform for plastering of the previous pouring bin.

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 discloses a hydraulic structure risk assessment method based on a multilevel dynamic fuzzy Bayesian network, and relates to the technical field of hydraulic engineering safety monitoring, and the method comprises the following steps: recognizing risk factors of a hydraulic structure, and building a hierarchical hydraulic structure risk assessment system; a Bayesian network risk probability model is constructed based on a risk assessment system, nodes in the model correspond to indexes of each layer of the assessment system, and edges among the nodes are connected according to a causal relationship among the indexes. According to the invention, accurate and dynamic management and control of hydraulic structure risks are realized. In the aspects of data processing and risk judgment, multi-source monitoring data such as displacement, seepage and water level are classified and integrated according to an index layer, a criterion layer and a target layer through hierarchical evaluation system design, the isolation problem of traditional single data monitoring is avoided, the data collaboration value is fully mined through logic association among the layers, and the risk judgment accuracy is improved. And the risk assessment does not depend on one-sided information any more.

The utility model discloses a water conservancy project gate with an impurity filtering function, which comprises a gate structure, and the inner wall of the gate structure is connected with a cleaning mechanism in a sliding manner; according to the gate structure and the cleaning mechanism, the filter plate serves as a first defensive line, various impurities in water flow can be effectively blocked by matching with the leakage grooves transversely arranged along the outer wall of the filter plate, the sealing gasket at the bottom of the gate plate is tightly attached to the bottom of the filter plate to form a tight sealing defensive line, and meanwhile the rotary handle is rotated to seal the filter plate. The gate plate can be driven to move up and down through the lifting threaded rod in threaded connection with the gate plate, opening and closing work of the gate is achieved, the cleaning mechanism can be driven to move along the sliding groove by rotating the adjusting threaded rod, the rake tooth plate fixed to the supporting plate shuttles back and forth between the leakage grooves, and impurities are scraped down and collected into the collecting frame. And meanwhile, the inclined surfaces of the supporting plate and the guide plate interact with each other, so that each cleaning work can be smoothly, efficiently and circularly carried out.

The invention relates to the technical field of hydraulic engineering safety monitoring, and discloses an urban dike safety assessment method and system based on digital twinning. The method comprises the following steps: firstly, collecting pressure pulsation data of a dike deep drainage pipe network, a dike structure dynamic response data set and pore water pressure monitoring data; inverting an equivalent dynamic load through pressure pulsation data, and analyzing a seepage path in the dike by combining pore water pressure monitoring data; non-stable seepage analysis is completed based on the seepage path and the pore pressure data, and dynamic distribution of a pore pressure field is obtained; a dynamic-seepage abnormal coupling area is positioned through dynamic response and pore pressure field residual analysis, and the instability probability is quantified through pore pressure gradient divergence and slope displacement acceleration rate joint probability analysis; and finally, by means of a VR system integrated with a physical engine, visually demonstrating instability probability distribution and generating a dike risk evolution three-dimensional scene. The problem that existing dike safety assessment depends on single-dimension monitoring and is difficult to match with load dynamic changes, so that accuracy is insufficient is solved.

The invention relates to the technical field of hydraulic engineering safety monitoring, and discloses a hydraulic engineering slope deformation monitoring method and system based on a video stream. The method comprises the following steps: deploying video acquisition equipment in a slope stable area, and acquiring continuously shot video stream data containing a slope monitoring area; extracting a plurality of natural feature points from an initial frame of the video stream data; calculating a pixel displacement vector based on the position change of the natural feature point in the subsequent video frame; based on the spatial distribution characteristics of the pixel displacement vectors, natural feature points with consistent motion trends are identified as the same deformation area, and cluster displacement vectors are generated; and calculating the physical space displacement of the deformation area according to the cluster displacement vector and a coordinate conversion model. The system comprises corresponding function modules. According to the invention, automatic and real-time monitoring of slope deformation is realized, the monitoring efficiency and accuracy are improved, and the cost is reduced.

The invention relates to the technical field of hydraulic engineering safety monitoring and numerical analysis, and discloses a multi-dimensional cloud agent model assisted high-performance adaptive probability inversion system, which comprises a finite element modeling module, a sample generation module, a cloud agent model construction module, an adaptive inversion module and a dynamic updating module. The system constructs a multi-dimensional coupling cloud agent model for replacing finite element calculation by calculating cloud digital characteristics such as expectation, entropy and hyper entropy of input variables and generating a multi-layer virtual cloud droplet; performing parameter inversion by using a variable step Markov chain Monte Carlo algorithm based on local and global uncertainty indexes; and processing time sequence monitoring data by combining a state space model and a Bayesian recursion strategy to realize continuous correction of parameter posterior distribution. According to the method, the problems of long time consumption, low convergence efficiency and difficulty in processing time-varying characteristics of traditional inversion calculation are effectively solved, and efficient dynamic inversion and safety state accurate evaluation of dam full life cycle parameters are realized.

The invention belongs to the technical field of hydraulic engineering monitoring, and discloses a hydraulic engineering inspection system and method, and the method comprises the steps: a positioning monitoring deployment module reasonably distributes the number and positions of positioning monitoring assemblies; the route planning module plans an optimal unmanned aerial vehicle flight route; planning an advancing route, a water entry position and a water surface leaving position of the underwater robot; the cruise monitoring module carries out all-directional inspection on a water conservancy area; the image analysis module identifies abnormal conditions; the infrared data analysis module recognizes abnormal conditions in time; the radar data analysis module identifies abnormal conditions; the comprehensive analysis module comprehensively evaluates the water conservancy condition; the risk prediction module predicts potential problems and risks. According to the invention, the positioning monitoring assembly and the cruise monitoring module are combined to realize omnibearing monitoring of a water conservancy area; omnidirectional three-dimensional inspection is realized, multi-modal data collaborative analysis is realized, abnormal conditions are identified, potential problems and risks are predicted, and possible faults or disaster hidden dangers of water conservancy facilities can be found in advance.

The invention belongs to the technical field of hydraulic engineering safety management, particularly relates to an intelligent monitoring system for hydraulic engineering seepage, and aims to solve the problems that an existing intelligent monitoring system is difficult to adapt to time-varying effects such as material aging and fracture development in an engineering operation period in a use process, so that a simulation result gradually deviates from an actual state, the precision is reduced and the working efficiency is low. In order to solve the problem of poor prediction extrapolation in the face of extreme working conditions, the invention provides the following scheme that the method comprises a sensing array module, and the sensing array module is connected with a data acquisition module. The problem that a simulation result of a traditional fixed parameter model is gradually distorted is fundamentally solved, automatic learning can be carried out along with engineering operation, and a real physical state is continuously approached, so that high precision of seepage trend prediction and scientificity of early warning are still kept under time-varying conditions such as material aging and extreme working conditions.