98 results about "Arch dam" patented technology

The invention provides an arch dam shape efficient intelligent optimization method and system based on an agent model. The method comprises the steps that an arch dam physical-numerical model is constructed, a double optimization target with structural safety and economical efficiency as the core is determined, design parameters are selected, a constraint function is set, and an evaluation index system is established; samples are generated through Latin hypercube sampling, a data set is constructed in combination with finite element calculation, and a multi-task learning architecture is adopted to train a high-precision agent model. And then, coupling the proxy model with a multi-objective optimization algorithm, quickly searching a Pareto optimal solution set, and screening out a comprehensive optimal figure by using a multi-attribute decision-making method. And finally, through a finite element simulation verification result, prediction precision and performance improvement are ensured. The method has the advantages of lightweight modeling, efficient prediction and accurate search, and provides an effective tool for intelligent optimization and rapid decision making of hydraulic structures such as arch dams and the like.

The invention discloses a concrete arch dam global structural mechanical parameter zoning rapid inversion method, and relates to the technical field of dam operation safety monitoring and management, and the method comprises the steps: building a dam body and foundation three-dimensional finite element model through finite element software according to engineering design and monitoring data, and building a foundation three-dimensional finite element model according to damming material mechanical parameter information; partitioning the three-dimensional finite element model, analyzing the sensitivity of mechanical parameters of each region, determining sensitive mechanical parameters influencing the deformation of the concrete arch dam, and carrying out self-adaptive intelligent sampling on the sensitive mechanical parameters according to a sensitivity analysis result, and constructing a deep learning agent model reflecting a nonlinear relationship between the sensitive mechanical parameters of the dam and the deformation of each monitoring point, and carrying out deep learning inversion on the elastic modulus of the dam body and the deformation modulus of the bedrock. According to the invention, the method can efficiently and accurately invert and determine the structural mechanical parameters of the arch dam in the actual operation period, and provides a good basis for the safety analysis of the dam.

The invention discloses an arch dam aging deformation mechanism analysis method, and relates to the field of hydraulic structure safety. The method comprises the steps that based on three-dimensional terrain and geological data, a high-precision arch dam-foundation overall finite element mesh model is established, concrete materials and permeation partitions are divided carefully, and an anti-seepage and drainage system structure is embedded; by means of multi-source monitoring data, real boundary conditions such as water temperature and air temperature and thermodynamic parameters are dynamically recognized and optimized through the intelligent inversion technology; respectively analyzing the aging influence of single factors such as a temperature field and valley amplitude deformation on arch dam deformation by adopting finite element simulation; on the basis of the normalized deformation response data, a Bayesian optimized long-short-term memory neural network and a hierarchical correlation propagation algorithm are adopted, contribution weights of all factors to deformation are calculated, and weight rationality is verified through global sensitivity analysis. According to the method, quantitative separation and evaluation of the main deformation influence effect of the arch dam are realized, and a theoretical basis can be provided for structural health monitoring and safety management.

The invention discloses a seismic oscillation parameter selection and high arch dam response prediction method based on random forest-recursive feature elimination. The method comprises the following steps: (1) constructing a high arch dam finite element model; (2) seismic oscillation input of a finite element is obtained, and nonlinear seismic response of the arch dam under the seismic oscillation input is obtained through nonlinear dynamic time-history analysis; (3) taking the output parameters as a data set to obtain an optimal feature set of the high arch dam; and (4) on the basis of the obtained optimal IM feature set of the high arch dam and the corresponding random forest model, in combination with seismic oscillation input data, predicting a response result of the high arch dam through sampling. According to the seismic oscillation parameter selection and high arch dam response prediction method based on random forest-recursive feature elimination, the complex nonlinear relation between the features can be fully captured, the interaction between the features can be better considered, the complexity of the model can be better controlled, too many or too few features are prevented from being selected, the over-fitting risk is reduced, and the method is suitable for large-scale popularization and application. The performance and the effect of feature selection are improved.

The invention belongs to the technical field of hydraulic engineering digital twinning, and provides an arch dam static response rapid calculation method which comprises the following steps: sampling and simulating based on a finite element model in an offline stage to obtain a displacement field snapshot matrix, extracting a dominant mode through intrinsic orthogonal decomposition to construct a reduced-order subspace, and calculating a mode coefficient; and training a radial basis function neural network to establish a nonlinear mapping relation by taking the working condition parameters as input and the modal coefficient as output, and finally, inputting the target working condition parameters into the trained network to predict the modal coefficient in an online stage, and quickly reconstructing a complete displacement field response through linear combination with the POD modal. The method achieves the quick and accurate prediction of the static physical field of the arch dam, and remarkably improves the calculation efficiency of the displacement field of the arch dam.

The invention discloses a spatial-temporal feature fusion concrete arch dam deformation prediction method based on multi-scale hierarchical clustering, and the method comprises the following steps: decomposing a dam deformation sequence into trend, period and fluctuation items, and constructing a new multi-scale similarity distance index; adopting a hierarchical clustering method based on a Ward criterion, and utilizing the constructed multi-scale similarity distance index to perform clustering partition on the deformation measuring points with the similar deformation rule; a deep learning model TCT-CANet fused with the spatial and temporal characteristics is constructed; the deformation of the concrete arch dam is predicted by utilizing the constructed TCT-CANet model, the prediction performance of the model is evaluated through various evaluation indexes, and meanwhile, the effect of each module in the aspects of spatial-temporal feature capture and prediction precision improvement is analyzed through an ablation experiment; the TCT-CANet model is compared with various time sequence prediction methods on all measurement points, and the superiority and generalization ability of the model are verified. According to the method, the prediction model TCT-CANet based on spatial-temporal feature fusion is constructed, and accurate prediction of deformation of the concrete arch dam is realized.

The invention discloses a concrete dam gallery arch part concrete cracking analysis method, which comprises the following steps: constructing a gallery arch three-dimensional finite element model, carrying out simulation analysis on a temperature field and a stress field in a dam gallery arch construction period, further evaluating the gallery safety state, analyzing the reason of foundation drainage gallery arch cracking, and determining the concrete cracking degree of the foundation drainage gallery arch. And finally, crack propagation simulation is performed on the gallery part based on a stress result, so that a scientific basis and feasible suggestions can be provided for formulating anti-cracking measures of the gallery in the construction period, the stress-strain process of the concrete at the top arch part of the concrete dam gallery is effectively monitored in real time, the cracking condition is analyzed, and the crack propagation path and trend are simulated. According to the method, a scientific basis is provided for revealing a concrete crack forming mechanism, key technical support is provided for anti-cracking reinforcement of the arch dam gallery top arch part through prospective risk pre-judgment, and controllability and reliability of structural safety in the concrete dam construction period are improved.

The invention discloses a global horizontal displacement monitoring method for an arch dam. The global horizontal displacement monitoring method comprises the step of calculating global horizontal displacement of the arch dam through arch end vector displacement obtained through an arch ring of the arch dam and linear displacement of strain of any point of the arch ring of the arch dam. The linear displacement of any point is calculated through the strain distribution of the full length of the arch ring of the arch dam; arranging inverted pendants at two ends of the arch dam arch ring to obtain arch end vector displacement; the position of any point after deformation is obtained according to the fact that the macroscopic shape of the arch dam is unchanged and continuous, vector displacement can be obtained and further decomposed into radial displacement and tangential displacement, and then monitoring of the global horizontal displacement of the arch dam is achieved.

The utility model discloses an experimental device for anti-explosion protection of an arch dam, and belongs to the field of simulation explosion tests. The experimental device comprises a fixing mechanism, an explosive module, a displacement sensor module and an acceleration sensor module, wherein the fixing mechanism is used for supporting a high polymer plate; the explosive module is arranged above the high polymer plate and is used for carrying out an anti-explosion test on the high polymer plate; the displacement sensor module and the acceleration sensor module are fixedly mounted on the high polymer plate; the shock wave sensor modules are symmetrically arranged on the two sides of the high polymer plate. According to the experimental device, shock wave sensor modules are installed on the upper side and the lower side of a high polymer plate, an explosive module is installed above the high polymer plate, the explosive module is detonated through an exploder, shock waves on the explosion facing face and the explosion backing face of the high polymer plate are detected through the shock wave sensor modules on the two sides, and displacement data are tested through a displacement sensor module. Acceleration data are tested through the acceleration sensor module, so that comprehensive anti-explosion analysis is carried out on the high polymer plate, and the method is more comprehensive and fine.

The application belongs to the technical field of arch dam shape design and artificial intelligence, and discloses a kind of arch dam shape multi-objective intelligent design and optimization method based on machine learning;Including the following steps: step 1, collect and arrange arch dam shape design data of arch dam shape;Step 2, carry out data cleaning to the collected arch dam shape design data, carry out correlation analysis based on arch dam shape design data, and utilize principal component analysis to carry out feature dimension reduction, complete the feature engineering of arch dam shape design data;Step 3, call the machine learning model of design optimization, and input the input parameter to be designed, utilize machine learning model to carry out intelligent design and optimization of arch dam shape design, output arch dam crown beam curve equation and horizontal arch ring line equation.The application realizes multi-objective intelligent design and optimization of arch dam shape design, effectively improves the efficiency of arch dam shape design.

The invention belongs to the technical field of water conservancy projects, and discloses an extra-high arch dam bank slope dam section concrete first bin high lift layer construction method which comprises the following steps: step 1, determining dam concrete construction layering, step 2, establishing a template support model, step 3, carrying out stress checking calculation and the like. According to the extra-high arch dam bank slope dam section concrete first bin high lift layer construction method, PKPM structural calculation software is combined with the structural form of a dam, the distance from an upstream excavation face is combined, a model is established for structural stress and stability analysis, high lift layer construction is achieved, the highest lift layer height is large, multi-bin parallel one-time pouring is achieved, the pressure of a standby bin is relieved, and the construction efficiency is improved. The construction efficiency is improved. According to the ultrahigh arch dam bank slope dam section concrete first bin high rising layer construction method, the pouring height and quality of each layer can be effectively controlled, the uniformity and compactness of concrete are ensured, and the construction precision of the whole structure is improved.

The invention discloses an arch dam shear-resistant safety evaluation method, which specifically comprises the following steps of: establishing an arch dam numerical model through ADAO software, calculating shear-resistant safety coefficients of each arch section and beam section of a dam body, and identifying and positioning the most unfavorable arch section and the most unfavorable beam section according to the shear-resistant safety coefficients; constructing an agent model by combining Latin hypercube sampling and a BP neural network method; calculating an arch dam shear resistance reliable index based on a Monte Carlo simulation method; according to the arch dam anti-shear safety evaluation method, the arch dam anti-shear safety problem is focused, the anti-shear safety level of the weakest area of the arch dam is quantitatively evaluated, the gap of arch dam anti-shear safety evaluation is filled up, anti-shear safety is accurately quantified, a scientific and efficient path is provided for arch dam engineering anti-shear safety evaluation, and through A arch dam example verification, the arch dam anti-shear safety evaluation method has the advantages that the arch dam anti-shear safety evaluation method is high in practicability. And the arch dam operation safety is effectively guaranteed.

The invention, which relates to the technical field of dam safety monitoring, discloses a concrete arch dam video monitoring system comprising a plurality of monitoring points, at least one monitoring substation and a monitoring master station. The monitoring points are distributed at key monitoring parts of a concrete arch dam and a near dam reservoir area, and each monitoring point is provided with front-end equipment for acquiring video and image information; the monitoring substations serve as regional signal convergence and transmission nodes and are connected with a plurality of monitoring points which the monitoring substations belong to through wired or wireless communication links, and industrial-grade switches are arranged in the monitoring substations. The monitoring master station serves as a system management and application center, communicates with at least one monitoring substation through a network, and is integrated with a control device, a storage device, a display device and an information management system. And the front-end equipment, the monitoring substation and the monitoring master station are sequentially in communication connection to form a closed-loop system for completing information acquisition, transmission, storage and management. According to the system, manual inspection blind areas and risks are eliminated, and dam body defect identification efficiency and data reliability are improved.

The invention relates to the technical field of building design, in particular to an arch dam three-dimensional geological model and parameterized design data fusion system and method and application, and the system comprises a data acquisition and interface module which obtains CAD data and three-dimensional geological data; the data preprocessing and feature engineering module is used for preprocessing the CAD data and the three-dimensional geological data and extracting features; the three-dimensional model data fusion engine module is used for constructing a three-dimensional digital model with uniform structural parameters; the machine learning-based analysis and evaluation module is used for carrying out performance prediction, key region identification and CAE result interpretation on the three-dimensional digital model by utilizing a machine learning model to generate performance evaluation information; and the arch dam design parameter optimization and recommendation module adopts an intelligent optimization algorithm to optimize arch dam design parameters, outputs a final design parameter combination, and improves the accuracy and decision-making efficiency of arch dam parameterization design and the intelligent level of engineering design.

The invention provides a high arch dam abutment anti-sliding stability analysis and evaluation method, which comprises the following steps of: respectively carrying out adit exploration on left and right banks, and analyzing slowly-inclined and steep-inclined structural surfaces to obtain a possible block sliding combination; three-dimensional software is adopted for conducting three-dimensional modeling on the terrain of the dam site area, typical structural planes of the left bank and the right bank of the dam foundation are built into surface domains according to structural plane coordinate information obtained through exploration, and the surface domains extend to a slope table; finite element analysis is conducted through three-dimensional modeling, and multi-factor comprehensive analysis and evaluation are conducted on the anti-sliding stability of the blocks after excavation of the left bank side slope and the right bank side slope of the arch dam. According to the method, adit exploration is carried out on the two banks of the arch dam, obtained data are substituted into three-dimensional software to carry out three-dimensional modeling on the geological conditions of the two banks of the arch dam, finite element calculation is carried out according to three-dimensional modeling, and the anti-sliding stability of the corresponding position of the dam abutment of the arch dam is comprehensively analyzed and evaluated from the angle of multiple factors. Therefore, a theoretical basis is provided for design and implementation of anti-sliding measure schemes of the two banks during arch dam construction.

The invention discloses a high-altitude area arch dam deformation safety early warning index zoning drawing-up method, which comprises the steps of collecting high-altitude area arch dam deformation safety multi-source monitoring data, and determining a measured value sequence composite similarity measurement index of the high-altitude area arch dam deformation safety multi-source monitoring data; performing arch dam deformation behavior clustering analysis under the driving of multi-monitoring-point monitoring data, completing arch dam deformation homogeneous feature recognition, and realizing objective partitioning of the arch dam deformation behavior in the high-altitude area; determining marginal probability distribution of measuring points in each partition, establishing a joint probability distribution function of a strong correlation measuring point group in the partition, and estimating a multi-measuring-point joint probability density function parameter; and carrying out graded early warning index drawing-up on the deformation safety of the arch dam in the high-altitude area in the multi-dimensional probability space. According to the method, the situation that a traditional single-measuring-point deformation early-warning mode and method do not fully consider the behavior relevance between the measuring points is broken through, the high-altitude area arch dam deformation safety partition multi-point combined early-warning index is drafted under the driving of multi-measuring-point monitoring data, and the deformation behavior of the high-altitude area arch dam can be judged more comprehensively; and higher robustness and higher accuracy are shown.

This application relates to the field of arch dam casting technology, and discloses a simulation method and apparatus for arch dam casting. The method includes: acquiring dam sections that meet preset casting conditions, and identifying dam blocks that meet casting requirements from the dam sections; assigning weights and sorting the dam blocks to be cast according to casting engineering parameters and arch dam structural parameters to obtain an initial casting sequence; if a preset number of consecutive dam blocks to be cast belong to the same construction section in the initial casting sequence, adjusting the initial casting sequence to obtain an adjusted casting sequence; configuring cable crane resources for the dam blocks to be cast based on the adjusted casting sequence and cable crane information, and performing simulated arch dam casting. By integrating casting engineering parameters and arch dam structural parameters for weighted sorting, multi-objective collaborative optimization guided by structural safety and construction efficiency is achieved, and the sequence of consecutive dam blocks in the same section is adjusted, improving the concentration of construction resources and making the adjusted casting sequence more reasonable.

This application provides a method and system for the intelligent transformation of an existing arch dam. The method includes: diagnosing, evaluating, optimizing, and supplementing the existing monitoring system of the arch dam, and outputting standardized and fused multi-source monitoring data; constructing and refining a simulation model based on the multi-source monitoring data to build a digital twin reflecting the current operational status of the arch dam; analyzing the operational status of the arch dam over a future period based on the digital twin, performing hydrological-hydraulic integrated diagnosis and dynamic simulation, and generating decisions for routine or emergency scheduling; and executing closed-loop control actions on the arch dam gates through a gate control system integrated with safety interlocking and remote communication capabilities, according to the control instructions or emergency plan.

The application discloses an arch dam valley amplitude deformation risk quantitative early warning method and system based on plastic effective stress evolution, and the method comprises the following steps: S1, acquiring deep site monitoring data; S2, calibrating the plastic effective stress coefficient and the rock mass or structural plane strength parameter, and determining the value range of different rock masses; S3, removing the elastic volume deformation component, and directly constructing the plastic effective stress tensor for controlling the shear yield; S4, constructing the dimensionless plastic approximation degree index K, and quantifying the approximation degree of the stress state to the failure envelope surface; S5, introducing the displacement rate and the cumulative deformation for double control verification, and intelligently identifying the critical yield locking, limited plastic damage and continuous structural plane rheological mode. The application solves the mechanism paradox between the traditional theory of 'water thrust causes deformation widening' and the actual monitoring of 'valley amplitude narrowing', and realizes the accurate quantification and grading early warning of the rheological risk of the deep rock mass of the high arch dam.

This application relates to the field of water conservancy engineering safety monitoring technology, and in particular to a method and system for intelligent early warning of dam deformation based on multi-source sensor data fusion. The method includes: acquiring a multi-source information set of the dam; based on the multi-source information set, analyzing the impact of asymmetric deformation caused by differences in load transfer in a hyperbolic arch dam, obtaining a dynamic information set of the dam abutments; based on the dynamic information set of the dam abutments and a dynamic dormancy strategy, analyzing the impact of mud adhesion and freeze-thaw residue caused by seasonal freeze-thaw cycles on the deformation of drainage channels, obtaining a drainage channel assessment information set; based on the drainage channel assessment information set, analyzing the critical state of dam abutment instability precursors characterized by abnormal channel deformation, executing multi-level collaborative early warning commands for dam safety, and outputting an intelligent early warning log of dam deformation. This improves the intelligence level and emergency response capability of dam safety management, effectively ensuring the long-term stable operation of the dam.

The application relates to a cleaning robot and a cleaning method suitable for various dams, belonging to the technical field of dam surface cleaning, and comprising a shell, a navigation assembly, a cleaning assembly, a sensor group and a pump group for providing suction power, wherein the navigation assembly comprises a posture adjusting water tank arranged in the shell, and direction water spraying devices are arranged in the circumferential direction and the axial direction of the shell; the cleaning assembly comprises cleaning water spraying devices arranged in the circumferential direction of the shell, and the cleaning water spraying devices are provided with water pipes; and the sensor group is arranged at the bottom of the shell. The application can be applied to the cleaning of the surface attachments of different dam types, such as face slab dams, gravity dams and arch dams, the landing posture and the moving direction of the robot are determined through the sensor group, the spatial posture of the robot is adjusted through the posture adjusting water tank, and the purposes of cleaning the dam surface, driving the robot to rotate and expanding the cleaning area are simultaneously achieved through the cleaning water spraying devices.

When conducting routine inspections of stilling ponds, a combination of a first-stage general inspection, a second-stage detailed inspection, and a third-stage precise inspection is used to efficiently collect, identify, and diagnose defects in the bottom slab of stilling ponds in a complex underwater environment. [Solution] The present application provides an intelligent patrol inspection method, apparatus, equipment, and medium for the stilling basin of a high-arch dam, relating to the technical field of underwater exploration. The method of the present application includes the steps of: collecting tomographic images of the bottom slab of the stilling basin with a first acquisition device; performing a first-stage general inspection based on the tomographic images; collecting external images of the bottom slab with a second acquisition device based on the patrol inspection results of the first-stage general inspection; obtaining patrol inspection results of a second-stage detailed inspection based on the external images; collecting fine images of the bottom slab with a third acquisition device based on the patrol inspection results of the second-stage detailed inspection; and obtaining patrol inspection results of a third-stage precision inspection based on the fine images.

The application discloses a high-arch dam modal parameter identification method under non-stationary working conditions. The method first arranges sensors on the high-arch dam to collect multi-channel vibration data, and removes non-stationary components in the signals based on a simple empirical Fourier decomposition method. Then, a parameter self-adaptive optimization multivariate modal decomposition method is used to process the data to obtain multi-channel intrinsic modal components. Finally, the random decrement method and Hilbert transform are combined for modal parameter identification, and the working modal parameters are output. The method effectively separates the non-stationary components by using the frequency cutoff strategy and the zero-phase filter, and realizes efficient and accurate decomposition of the multi-channel signals by using the correlation variance contribution rate fusion and the adaptive optimization algorithm. The method overcomes the shortcomings of the traditional method, such as insufficient interference processing of multi-channel data and lack of consideration of signal non-stationarity, and can more comprehensively and accurately identify the modal parameters of the high-arch dam, thereby providing reliable data support for the safety monitoring and stable operation of the high-arch dam.

The application discloses a hyperbolic arch dam aeration ice-melting and anti-icing equipment based on an alpine region, and relates to the technical field of anti-icing. The hyperbolic arch dam body is provided with a lifting structure, an aeration anti-icing structure, a PLC controller, a temperature sensor and a liquid level sensor on the convex curved surface side. The aeration anti-icing structure comprises a plurality of connecting pipes four, and a plurality of pressure relief valves are fixedly connected to the bottom of the outer side of each connecting pipe four. The bottom of the pressure relief valve is fixedly connected with a bubble generator. With the increase of the internal air pressure of the connecting pipe four, the airflow finally breaks through the pressure relief valve and is discharged through the bubble generator, a large number of bubbles are generated, the bubbles agitate the water surface during movement towards the water surface, ice formation on the water surface is avoided, the effect of preventing freezing on the water-approaching side of the hyperbolic arch dam body is comprehensive, and the damage of ice formation to the structure of the water-approaching side of the hyperbolic arch dam body is reduced.

The invention discloses an arch dam valley amplitude measuring method, device and system and a storage medium. The method comprises the following steps: acquiring meteorological data of a plurality of datum points, an instrument placement point, a highest elevation point and a lowest elevation point, and acquiring elevation information and measured values of a plurality of valley amplitude endpoints, including slant distances, vertical angles and horizontal angles; based on the meteorological data of the highest elevation point and the lowest elevation point and the elevation information of the valley amplitude endpoint, carrying out inversion to obtain meteorological data at the valley amplitude endpoint; constructing an error correction model representing a mapping relation between the meteorological data and the measurement error value by adopting a data-driven error modeling algorithm, and correcting the measurement value of the valley amplitude endpoint based on the error correction model to obtain a corrected measurement value; calculating a valley amplitude length based on the corrected measurement value; according to the invention, the manpower and instrument use cost for measuring the valley amplitude of the high arch dam is obviously reduced, and the measurement precision and the engineering applicability are improved.

The invention provides a complex geological area arch dam foundation rock mass engineering geology comprehensive evaluation and classification method, which comprises the following steps: carrying out multi-dimensional exploration investigation on a dam site rock mass structure to obtain a rock mass structural surface and rock mass structure division data; an existing structural surface grading standard serves as a preliminary grading reference standard, and a structural surface grading scheme in the dam site area under the complex geological condition is formed in combination with a dam site rock mass structural surface and rock mass structure division data; and evaluating and classifying the rock mass exposed by each adit in each exploration line to obtain the quality of the engineering geological rock mass. According to the method, rock mass structural plane information and rock mass structural data are obtained from multiple dimensions, a structural plane grading scheme in a complex geological area is formed in combination with an existing structural plane grading standard, and dam foundation rock mass engineering geology is analyzed and evaluated according to the scheme, so that geological condition support is provided for construction of a dam foundation infrastructure plane.

The application discloses an arch dam valley width measurement method, device, system and storage medium. The method comprises the following steps: acquiring meteorological data of a plurality of reference points, instrument installation points, elevation highest points and elevation lowest points, acquiring elevation information and measurement values of a plurality of valley width endpoints, including slant distance, vertical angle and horizontal angle; based on the meteorological data of the elevation highest points and the elevation lowest points and the elevation information of the valley width endpoints, meteorological data at the valley width endpoints is obtained by inversion; an error correction model representing the mapping relationship between the meteorological data and the measurement error values is constructed by using a data-driven error modeling algorithm, the measurement values of the valley width endpoints are corrected based on the error correction model, and corrected measurement values are obtained; and the valley width length is calculated based on the corrected measurement values. The application significantly reduces the labor and instrument use cost of high arch dam valley width measurement, and improves the measurement precision and engineering applicability.

The application discloses a construction method of a newly-built intelligent arch dam, and the method comprises the following steps: in the arch dam construction process, a moderate perception module is established to collect monitoring data based on a multi-source monitoring device; a real analysis module is established to construct an analysis model based on the monitoring data, so as to analyze the thermal state, mechanical response state and structural stability of the arch dam; an intelligent decision module is established to determine an analysis model and a decision model matched with a scheduling scenario through a large language model and a knowledge graph, to optimize and solve decision variables under the analysis support of the analysis model by the decision model, and to obtain scheduling decision information; and an automatic control module is established to execute a control operation on the arch dam related physical device through a pre-encapsulated control module, so as to realize automatic execution of the decision instruction. The application realizes integrated construction of the moderate perception, real analysis, intelligent decision and automatic control modules of the intelligent arch dam in the arch dam construction process, so that the arch dam is built into an intelligent arch dam.

The application discloses a kind of seismic influence's concrete arch dam structure dynamic response index analysis method, comprising: multiple data acquisition sensors collect the multiple displacement response and stress response index of each unit time concrete arch dam, the damage index of each unit time concrete arch dam working state, and the data collected is stored and sent to the engineer data set control center;Data is normalized, and different physical quantity dimension data is mapped to the same numerical range;According to the structural characteristics of concrete arch dam, the arch dam is divided into different nodes, and the node feature matrix is constructed;Multiple displacement response and stress response index, damage index are not in the preset safety limit boundary condition, then generate concrete arch dam maintenance repair instruction, and feedback to concrete arch dam structure safety analysis model interface through multimodal data set control server.The application can issue concrete arch dam maintenance repair instruction in time, improve analysis efficiency.

The utility model relates to an arch dam overhanging body assembly and an arch dam overhanging body structure. The arch dam overhanging body assembly comprises an overhanging body prefabricated formwork and a truss. The inverted suspension prefabricated formwork extends in the first direction. The truss is arranged on the side, in the second direction, of the inverted suspension body prefabricated formwork and connected to the inverted suspension body prefabricated formwork. Wherein the inverted suspension body prefabricated formwork comprises a first embedding part and a second embedding part, and the first embedding part and the second embedding part are arranged at the two ends, in the first direction, of the inverted suspension body prefabricated formwork correspondingly; in the first state, in every two adjacent arch dam overhanging body assemblies, the first embedding part of one arch dam overhanging body assembly is embedded with the second embedding part of the other arch dam overhanging body assembly. Wherein the first direction intersects with the second direction. According to the arch dam overhanging body assembly, the construction difficulty of the multiple arch dam overhanging body assemblies in the connecting process can be reduced.