9 results about "Cascading effects" patented technology

The invention relates to the technical field of distributed system monitoring, and discloses a running state monitoring method and system applied to a server cluster, and the running state monitoring method applied to the server cluster comprises the steps: obtaining patch change data of a local code warehouse, and generating an initial dependency relationship matrix; processing the code structure features by using a differential privacy algorithm, and generating a feature fingerprint vector for privacy protection; performing homomorphic encryption on the feature data to generate an encryption dependency graph which can be calculated in a ciphertext domain; executing a graph propagation algorithm in the ciphertext domain, and calculating propagation probability distribution influenced by the patch; security multi-party aggregation is carried out, and the risk level of global cascade influence is calculated; and generating a patch deployment suggestion based on the risk assessment result. According to the method, the problem of cascade effect omission caused by only depending on local assessment is solved, so that the technical problem of global risk assessment on the premise of protecting code privacy is solved.

This system, which pushes knowledge graph-based parameters for zirconium-titanium alloy fastener manufacturing processes, involves knowledge graph and intelligent manufacturing technologies. It acquires the temperature and pressure sequences of the first process to generate temporal features, extracts the hidden layer state trend gradient, and constructs a temporal drift vector. The system obtains the second feature vector of the associated process from the knowledge graph, and obtains a dynamic mapping matrix through feature cross-interaction and mapping. This matrix is ​​then used to perform an affine transformation on the first feature vector to obtain a reconstructed feature vector, which is then aggregated and updated to generate the control parameters for the second process. Finally, the system optimizes the parameters based on feedback and updates the preset time window. This system can eliminate the error cascading effect caused by linear aggregation in heterogeneous spaces, effectively solving the industry problem of high yield per process but high scrap rate per assembly.

This application discloses a method, apparatus, and equipment for electromagnetic transient fault analysis based on a large-scale model. The method includes: preprocessing real-time operational information obtained from the power grid to obtain time-series operational information; performing fault reasoning analysis based on a pre-set fault analysis large-scale model and a thought chain technique according to the time-series operational information to obtain fault analysis results, including fault location, fault type, and fault root cause; and analyzing the cascading effects of the fault based on the spatiotemporal feedback reasoning chain in the pre-set fault analysis large-scale model, combined with power grid topology information and the fault analysis results, to obtain fault impact analysis results. This application can solve the technical problems of insufficient analysis accuracy, large computational load, and difficulty in conducting impact analysis and evaluation for various types of faults in existing technologies.

The invention relates to the technical field of multi-energy system risk assessment, and discloses an electricity-gas interconnection system cascading failure risk assessment method considering element multi-state characteristics, which comprises the following steps: integrally modeling an electric power system and a natural gas system, and incorporating the element multi-state characteristics into constraint conditions, taking the total load loss severity of the interconnection system as a risk assessment index, performing cascading failure simulation according to different initial failures, and calculating the risk level of the interconnection system; aiming at nonlinear constraints in a cascading failure simulation model, the model is converted into a mixed integer linear model based on a piecewise linearization method, Taylor series expansion and a large M method, and finally solving is carried out through a solver. The model provided by the invention can fully reflect the cascade effect of a fault between an electric system and a gas system and the influence of the fault on the whole interconnection system; according to the evaluation method, quantitative evaluation of the cascading failure risk of the electricity-gas interconnection system can be realized, and the influence of the cascading failure on the overall performance of the electricity-gas interconnection system can be reflected.

The invention discloses an infrastructure disaster simulation method and device, equipment, a medium and a program product, and relates to the technical field of emergency management, and the method comprises the steps: building a multilayer network of infrastructures in a target region based on the geographic information data of the target region; establishing a linear programming model of the infrastructure based on the multilayer network and the physical attribute data of the infrastructure; physical coupling and dependency relationships among different types of infrastructures are converted into coupling constraint conditions; and iteratively solving the linear programming model under the constraint of a coupling constraint condition by taking disaster-causing meteorological data of the target area as input so as to simulate a state evolution sequence of the multi-layer network. By constructing a unified linear programming model and injecting coupling constraints, a traditional one-way open-loop simulation architecture is converted into a two-way closed-loop simulation system, so that the forward and reverse cascade effect between infrastructures can be accurately simulated, and the authenticity and reliability of disaster chain evolution process simulation are improved.

A system and method of managing a network with assets are described. The method includes generating a directed graph with each of the assets represented as a node, determining individual failure probability of each node, computing downstream failure probability of each node according to an arrangement of the nodes in the directed graph, computing upstream failure probability of each node according to the arrangement of the nodes in directed graph, and computing network failure probability for each node based on the corresponding individual failure probability, the downstream failure probability, and the upstream failure probability. Managing the network is based on the network failure probability of the assets.

This application discloses a method and apparatus for quantitatively assessing the risk and loss of flash flood disasters considering cascading effects, relating to the field of disaster prevention and mitigation technology. The method simulates flood evolution by constructing a hydrodynamic model that includes a baseline and multiple coupled operating conditions, outputs simulation results, and calculates risk indicators under each operating condition. It accurately quantifies the cascading risk amplification coefficient by comparing the indicator values ​​of the baseline and coupled operating conditions. Furthermore, it establishes a grading standard based on the cascading risk amplification coefficient and identifies key risk intervals. Finally, by embedding the amplification coefficient into the loss assessment model, it accurately calculates the loss in the key risk intervals, achieving precise quantification and scientific assessment of the entire process of cascading effects from physical mechanisms to economic losses.

The application relates to the technical field of distributed system monitoring, and discloses a running state monitoring method and system applied to a server cluster, wherein the running state monitoring method applied to the server cluster comprises the following steps: acquiring patch change data of a local code warehouse, and generating an initial dependency relationship matrix; processing code structure features by using a differential privacy algorithm, and generating a privacy-protected feature fingerprint vector; homomorphically encrypting feature data, and generating an encrypted dependency graph which can be calculated in a ciphertext domain; executing a graph propagation algorithm in the ciphertext domain, and calculating a propagation probability distribution of patch influence; performing secure multi-party aggregation, and calculating a risk level of global cascading influence; and generating a patch deployment suggestion based on a risk assessment result. The application overcomes the cascading effect omission problem caused by relying on local assessment only, thereby solving the technical problem of global risk assessment under the premise of protecting code privacy.

The invention relates to the technical field of IT system integrated resource scheduling, and discloses a large-model-driven IT system integrated resource intelligent configuration and cooperative scheduling method, which comprises the following steps of: acquiring a logic coupling vector of each execution node in a micro-service architecture; mapping the logic coupling vector to a high-dimensional design space by using a large model, and generating a design constraint tensor representing a resource configuration state; calculating a logic pressure gradient between the nodes according to the calculation density parameter of each execution node, and monitoring an evolution trend of the logic pressure relative to a resource bearing threshold value so as to identify a resource conflict region; and triggering a topology reconstruction operator to generate a scheduling plan, synchronizing a physical state through a resource allocation interface and an execution node, and realizing resource increment compensation, by constructing a logic stress model, stabilizing space-time fluctuation between micro-service components, avoiding a cascade effect generated by resource competition, and guaranteeing the certainty of a system integration architecture.