14 results about "Arch dam" patented technology

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.

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 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 provides a scheduling decision method and device for concrete arch dam pouring engineering, and the method comprises the following steps: constructing an arch dam pouring progress simulation model through discrete event simulation and an agent-based model, pre-training the expert trajectory dataset by using behavior cloning, performing reinforcement learning on the behavior cloning pre-training model with reward remodeling to generate an intelligent scheduling decision model; perceiving the state variables required by the progress simulation model, initializing and running the progress simulation model; generating and executing the cable crane pouring scheduling decision result according to the state variables through the intelligent scheduling decision model. The two-stage training method fusing expert experience and reinforcement learning enables the model to autonomously learn and optimize long-term construction benefits, improves the robustness and scheduling efficiency of the model, and through offline training and online application of the model, a closed-loop intelligent decision process from perception, simulation, decision to control is formed, and reliable support is provided for the automation and intelligent management of arch dam pouring construction.

This invention discloses a method for constructing a four-dimensional spatiotemporal distribution model of concrete arch dam body temperature based on multi-point measured temperature, belonging to the field of concrete arch dam safety monitoring technology. This invention is achieved through the following steps: S1, anomaly identification, removal, substitution, and five-day moving average preprocessing of the measured temperature data; S2, establishing a normalized spatial coordinate system for the dam body (…). x , or , g S3. Representative points are set up on the cross-section of the arched beam. The temperatures of these representative points are used as the first set of undetermined parameters in the inversion model. A two-dimensional temperature field is constructed using cubic B-spline fitting. S4. Temperature adjustment parameters for the left and right banks are set as the second set of undetermined parameters in the inversion model. Bank-direction correction is performed through quadratic interpolation and a |η|³ weighting function to obtain a three-dimensional temperature field. S5. Spatiotemporal correlation constraints are established to limit the temperature difference between adjacent points and the parameter variation range between adjacent time periods. S6. With the goal of minimizing the measured-fit residual, the undetermined parameters are inverted using the least squares method to obtain a four-dimensional continuous temperature field. S7. Abnormal measurement points are identified and eliminated based on the fitting residual iteratively until convergence. This invention realizes the reconstruction of a continuous, stable, and reliable four-dimensional spatiotemporal temperature field from discrete data containing outliers. It has the ability to automatically identify and iteratively purify anomalies, and the reconstruction accuracy is high with good spatiotemporal continuity. It can provide reliable basic data for stress deformation analysis and full-time safety evaluation of arch dams.

This invention provides a device and construction method for the first-phase direct burial construction of inclined gate slots in hydropower station arch dams. The device includes a ladder with several operating platforms and ladders connecting the platforms. The lower end of the ladder is set on a sill, and a pre-embedded support is provided on one side of the ladder. The upper end of the ladder is connected to the pre-embedded support via connectors. A main rail slide installation reference seat, a gate lintel installation reference seat, and a water seal plate installation reference seat are provided on one side of the ladder. During construction, the main rail slide installation reference seat, the gate lintel installation reference seat, and the water seal plate installation reference seat provide installation reference surfaces for the main rail, the gate lintel, and the main rail water seal plate, respectively. This device and method have fewer construction steps, and the installation of the gate slot embedded parts does not occupy the straight-line construction period of the dam concrete pouring, which can greatly accelerate the installation progress. During construction, the entire water sealing section of the gate slot embedded parts is laid out in one go, which can effectively avoid the cumulative error caused by multiple measurements and layouts of the water sealing section.

This invention provides a method and apparatus for determining the safety factor of an arch dam. The method includes: constructing a finite element model based on the geometric structure of the target arch dam; assigning values ​​to the finite element model based on design condition parameters to obtain a design condition model; assigning values ​​to the finite element model based on time-dependent deformation condition parameters to obtain a time-dependent deformation condition model; performing hydraulic overload analysis on both the design condition model and the time-dependent deformation condition model to determine a first overload safety factor and a second overload safety factor; and determining the safety factor of the target arch dam based on the first and second overload safety factors. The analysis, based on a dual-model comparative analysis framework of ideal design state and long-term operating state, can quantitatively reveal the impact of deformation on the working behavior of the arch dam, effectively solving the problem that a single-dimensional safety factor assessment cannot reflect the safety margin decay caused by time-dependent deformation, thus significantly improving the comprehensiveness and accuracy of determining the safety factor of high arch dams.

A damage prediction system for a concrete multiple-arch dam under the action of an impact load. The system comprises: establishing a three-dimensional finite element model to simulate a response of a concrete multiple-arch dam under the action of a hydrodynamic impact load, and analyzing and extracting stress, strain and displacement data of a dam body; calculating a flexibility matrix of the dam body, analyzing the variation in the flexibility curvature of the dam body, and extracting the sensitivity of structural deformation; on the basis of the variation in the flexibility curvature, using a preset damage function to calculate the degree of damage to the dam body, generating a damage index, and training a neural network model; predicting damage locations and damage degrees of the dam body by means of an RBF neural network; and outputting the predicted damage locations and damage degrees.

This invention provides a method and system for analyzing the time-dependent deformation of arch dams based on multi-source data, belonging to the field of hydropower engineering technology. The method includes: establishing a finite element model encompassing the dam body and foundation; using monitoring data to first determine the thermal parameters and autogenous volumetric deformation parameters of concrete; substituting the determined thermal and autogenous volumetric deformation parameters into the finite element model, and then sequentially determining the bedrock creep parameters and concrete creep parameters under load; finally, calculating the contribution of each factor to the time-dependent deformation of the arch dam based on the determined parameters. This invention effectively eliminates the interference of temperature and non-stressed material deformation on the mechanical parameter inversion by using multi-source data for step-by-step decoupling of physical parameters, avoiding the coupling problems caused by traditional multi-parameter synchronous inversion, and achieving accurate quantification of the time-dependent deformation values ​​caused by various physical factors.

The application discloses an arch dam digital twin vibration sensor optimization arrangement method considering uncertainty, comprising the following steps: 1) establishment of an arch dam finite element model and sampling of material parameters; 2) arch dam modal analysis and noise simulation based on the finite element model; 3) modeling of the arch dam vibration sensor optimization arrangement considering modeling uncertainty and noise influence into a multi-objective optimization problem, and optimization and solution by using an improved multi-objective and sound optimization algorithm based on integer coding; and 4) selection and output of an optimal arch dam sensor arrangement scheme by using a compromise optimization method based on fuzzy set theory. According to the method, the material parameters are modeled as random variables to represent the modeling uncertainty of the arch dam, and random noise is introduced into the corresponding mode to simulate the influence of noise on the modal shape in actual testing, so that the obtained optimal sensor arrangement scheme has stronger anti-interference capability and can guarantee that the digital twin can still obtain reliable sensing data in an uncertain environment.