5 results about "Dam failure" patented technology

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.

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.

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.