12 results about "Dam failure" patented technology

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

This application discloses a method, device, and medium for simulating two-dimensional floods caused by continuous dam failures in cascade reservoirs. The method relates to the technical fields of hydrodynamic modeling and flood disaster simulation. The method includes: Based on data related to the cascade reservoirs, without considering the regulating and storage function of the interval reservoirs and the impact of continuous dam failures, comprehensively modeling the cascade reservoirs to obtain a comprehensive two-dimensional hydrodynamic model and a maximum inundation range; segmenting the cascade reservoirs step by step according to the number of reservoirs, and performing two-dimensional modeling on the reservoirs in each segment to obtain a segmented two-dimensional model; during the step-by-step simulation, based on the dam failure rules of the reservoirs in each segment, using the comprehensive two-dimensional hydrodynamic model or the segmented two-dimensional model to simulate and obtain inundation results for each segmented two-dimensional model; and finally, overlaying the maximum inundation range and inundation results to generate a cascade reservoir dam failure flood risk map. This application can improve the computational efficiency and accuracy of continuous dam failure simulation analysis for cascade reservoirs.

The invention discloses a reservoir dam break early warning method, which comprises the following steps: acquiring a current data set after the farthest time from a source database according to a first temporary table, updating a second temporary intermediate table according to the current data set, and generating an updating instruction of a target database; the target database updates the target table according to the updating instruction to obtain a to-be-input data set; training the input data by using the LSTM basic model to obtain an LSTM-based target model; preprocessing the to-be-input data set to obtain input features; inputting the input features into the target model, and outputting a dam break risk value; determining a target weight according to the dam break risk value, and calculating a current dynamic threshold value; and determining a dam break risk level according to the current dynamic threshold value or the dam break risk value. According to the method, the source database can be efficiently synchronized to the target database in a low-delay manner, and the accuracy and reliability of risk prediction are remarkably improved. The invention further discloses a system for implementing the method, electronic equipment and a computer readable storage medium.

This invention discloses a method and storage medium for predicting peak discharge of earth-rock dam failures, belonging to the technical field of hydraulic engineering technology. Based on the continuous organization and expansion of historical databases, a comprehensive database containing information on 295 earth-rock dam failure cases has been formed. Correlation analysis was conducted on different dam failure parameters and peak discharge, extracting five influencing parameters: reservoir capacity above the breach bottom, dam height, reservoir capacity, final breach depth, and water depth above the breach bottom at the time of failure. A new earth-rock dam failure parameter prediction model considering different dam types and failure modes was constructed. The model was compared with 20 existing typical parameter models from domestic and international sources. The calculation results show that the root mean square error (Erms) and correlation coefficient (R²) of the proposed prediction model are 0.38 and 0.82, respectively, demonstrating certain advantages compared to other models and verifying the accuracy of the model.

This invention relates to the field of dam failure simulation technology, and discloses a device and method for simulating and monitoring the failure process of a landslide dam. By setting surface markers on the surface of the landslide dam model and combining a camera monitoring system with digital image correlation, this invention achieves non-contact, full-field continuous monitoring of dam surface deformation. It can accurately acquire displacement and strain field data of the dam surface, overcoming the shortcomings of existing technologies that cannot accurately acquire dam deformation characteristics. Simultaneously, by setting up an acoustic emission monitoring system, it collects and locates stress wave signals emitted by the landslide dam model due to internal damage during the stress process, achieving real-time monitoring and spatial positioning of internal damage information of the dam body. This solves the problems of existing technologies being unable to monitor the internal structural response of the dam body and unable to analyze the dynamic process of internal damage evolution.

The present invention provides a method for diagnosing the service behavior of a structure based on the failure modes and failure paths of high dams, including: constructing a high dam failure case database and extracting failure characteristic parameters; applying multi-scale hierarchical adaptive correspondence analysis to solve the problem of unbalanced characteristic weights through characteristic weight calculation, hierarchical weighting of failure modes, establishment of physical similarity indicators, and structural difference compensation, and generating a weighted similar project ranking list; constructing a time-series adaptive network model coupled with multiple failure modes to solve the problem of imperfect time-series evolution mechanism of failure paths and outputting a time-series failure path prediction model; combining the similar project ranking list and the time-series failure path prediction model to conduct engineering analogy analysis and generate a high dam safety status assessment report. It solves the technical problems such as the short operation time of super-high dams, insufficient monitoring information, and the difficulty of numerical analysis results to fully reflect the actual project, and provides a new technical path and solution for high dam safety assessment and risk management.

The invention belongs to the technical field of earth and rockfill dam break prediction methods, and discloses an earth and rockfill dam break prediction method, which takes dam break characteristic variables influencing a dam as input factors, introduces a K-nearest neighbor algorithm, carries out data filling, and then carries out equalization processing on the data. While filling of a large amount of data is ensured, the number of data iterations is greatly reduced, and the data is fully and uniformly distributed in a test specified range. The dam break prediction model is constructed based on the LightGBM algorithm, so that the dam break prediction of the model is more scientific and accurate, and the adaptability is higher. According to the method, a complex mapping relation can be established through a small amount of basic data, and the outburst prediction problem is accurately and efficiently solved.

This invention discloses a multi-source data-driven method for verifying the path analysis of hydropower dam failures, belonging to the field of hydropower dam failure path analysis. The method includes entity extraction and relation extraction based on geological, meteorological, biological, and engineering datasets to construct a hydropower dam failure knowledge graph; supplementing and correcting erroneous and missing relations in the knowledge graph using path ranking and tensor decomposition algorithms; verifying the entity relations in the corrected knowledge graph to obtain a verified hydropower dam failure knowledge graph; and determining all paths from each hazard-causing factor to the dam failure node using a breadth-first search algorithm based on the verified knowledge graph, and visualizing each path to complete the path analysis of the hydropower dam failure event node. This invention solves the problem of low reliability of assessment results due to excessive reliance on human experience in existing methods.

This invention presents a method for generating dynamic reservoir scheduling benchmarks that integrates dual-drive prediction and flood control constraints. It relates to the fields of smart water conservancy, water resource optimization scheduling, and artificial intelligence. The method includes: collecting hydrological and meteorological data; employing a dual-drive hybrid prediction algorithm that combines a physical dynamics numerical model with a spatiotemporal AI large-scale model to dynamically extrapolate the inflow process curve of the reservoir for future periods; prioritizing flood control safety as the highest decision-making constraint, and combining the hybrid predicted inflow input with the reservoir capacity adjustment model for pre-adjustment calculations to generate a safe water release strategy and new reservoir capacity status; and forcibly removing rigid demand water volumes that cannot participate in allocation based on the expected safe and available reservoir capacity, generating a dynamic scheduling benchmark water volume for multi-user water resource hybrid game calculations. This invention improves system robustness and prediction accuracy; by closely integrating flood control safety with economic water resource allocation, it solves the problem of the disconnect between economic water resource allocation and flood control safety, thus avoiding the risk of dam failure.

The invention relates to a dam break risk-based earth and rockfill dam flood control standard determination method and system, and relates to the technical field of water conservancy projects. The method mainly comprises the following steps: calculating total earth and rockfill dam failure probabilities respectively corresponding to different flood recurrence periods according to flood annual exceeding probabilities, earth and rockfill dam failure probabilities and seepage failure independent probabilities respectively corresponding to different flood recurrence periods; according to the total earth and rockfill dam failure probability, the engineering cost, the direct loss, the indirect loss and the environment loss corresponding to the different flood recurrence periods respectively, calculating a first prediction total cost and a second prediction total cost corresponding to the different flood recurrence periods respectively; and according to the first predicted total cost and the second predicted total cost corresponding to the different flood recurrence periods, selecting a target flood recurrence period from the multiple flood recurrence periods as the flood control standard of the earth and rockfill dam.

This application relates to a risk grading standard construction and risk assessment method based on statistical distribution characteristics. It is applicable to the field of reservoir dam risk assessment technology. The scheme includes: based on the design specifications for the failure probability of hydraulic structures, equating the dam failure probability with the failure probability of the structural system, and determining the anchor point for the boundary between dam safety and unsafety probabilities; obtaining a series of risk consequence data for sample dams, and based on their statistical distribution characteristics, using a data-driven method to determine the grading boundaries of consequence severity; combining the dam failure probability level standard with the consequence severity level standard to construct a two-dimensional risk matrix, which defines the final risk level corresponding to different combinations of dam failure probability and consequences, forming a first risk assessment standard; and based on national historical dam failure statistics, determining the key parameter C values ​​of the target line and tolerance line in the F-N curves for life risk and economic risk respectively, and defining the risk graphically, forming a second risk assessment standard.

This application discloses a simulation method for tailings dam instability and failure under continuous rainstorm conditions. The method includes simulating the tailings dam area and downstream topography, simulating the later-stage dam body, designing continuous rainstorm simulation parameters, applying rainfall and inducing instability, dynamic monitoring throughout the process, and analyzing the dam failure mechanism. This application solves the technical problems of low fitting accuracy, inflexible parameter control, and incomplete data acquisition in existing tailings dam failure simulation methods. It can provide reliable experimental simulation support for the safety assessment, risk prevention, and related research of tailings dam instability and failure under continuous rainstorm conditions.