5 results about "Risk element" patented technology

This invention discloses a method for runway landing event risk analysis based on association rules and complex networks, comprising the following steps: extracting risk factor keywords from runway landing accident investigation reports using Jieba word segmentation technology; constructing a runway landing event risk factor dataset based on the risk factor keywords; performing data mining processing on the runway landing event risk factor dataset using an association rule mining algorithm to obtain frequent itemsets and association rules; constructing a complex network based on frequent itemsets and association rules; the nodes of the complex network are frequent itemsets, and the edges of the complex network are the association rules; determining key risk nodes based on node degree and node centrality in the complex network, and marking them as key risk factors for runway landing events; and implementing prevention and control measures based on the key risk factors. This invention combines association rule mining and complex networks to analyze key risk factors for runway landing events and quantitatively calculates and analyzes the criticality of risk nodes.

This invention provides a method and system for aviation emergency rescue risk assessment based on a large model, belonging to the field of aviation safety management technology. It addresses the limitations of existing technologies, such as strong subjectivity in assessment, insufficient multi-source data fusion analysis, and weak adaptability to extreme conditions. The method involves acquiring multi-source heterogeneous data associated with the flight to be assessed, fusing it to generate a standardized feature vector. This feature vector is then input into a pre-deployed risk assessment model, which is collaboratively constructed by a lightweight large model and a multi-factor dynamic fusion algorithm. The multi-factor dynamic fusion algorithm dynamically adjusts the weight coefficients of each risk factor based on real-time input, and then calls the lightweight large model to perform inference analysis on the correlation between risk factors, calculating the risk assessment result for the single flight. This invention significantly enhances the timeliness, safety, and overall effectiveness of rescue operations.

The specification provides a content security-oriented risk mining and answering method, device, medium and product. The content security-oriented risk mining method comprises: obtaining a question sample to be subjected to content security risk identification from at least one data source, and obtaining a plurality of risk elements from a preset security knowledge base; constructing a prompt word based on the question sample and the plurality of risk elements, and inputting the prompt word into a trained risk identification model to instruct the risk identification model to perform the following identification operation: identifying whether the question sample hits any of the plurality of risk elements; if not, performing content security risk analysis on the question sample to determine whether there is a new risk element; and if the risk identification model outputs a risk identification result that there is a new risk element, updating a risk identification process of an online answering system based on the new risk element in the risk identification result.

The application belongs to the technical field of data security, and discloses a risk element dynamic identification method and system based on a knowledge base updating mechanism, which comprises the following steps: formally describing a data cross-border flow business process, and extracting knowledge data involved in the business process; coding the knowledge data to form structured information, and storing the structured information into a knowledge base; performing step-by-step coding and concept refining on the structured information in the knowledge base, screening out a core category and other categories, and an association relationship between the core category and the other categories; and identifying risk elements in the data cross-border flow business process according to the association relationship. The application can realize continuous improvement and intelligent identification of data cross-border risk elements, thereby improving the completeness and accuracy of risk identification, and enhancing the overall efficiency of data cross-border security management.

This disclosure provides a method for controlling a hoisting mechanism used to lift an aircraft in near space, comprising: setting the ultimate load that the aircraft must meet under target operating conditions based on risk factors that may cause abnormalities in the aircraft; establishing a finite element model to characterize the aircraft to be lifted and the hoisting mechanism used to lift the aircraft, and using the ultimate load as the excitation input of the finite element model to calculate the mechanical simulation under the target operating conditions to obtain displacement simulation data of the aircraft under the target operating conditions; manufacturing a solid scale-down model including the aircraft and the hoisting mechanism; adjusting the hoisting rope structure with the structural strength of the solid scale-down model of the aircraft as the limit, so that the solid scale-down model of the aircraft can switch between multiple target operating conditions, and constructing the allowable force envelope of each hoisting rope of the hoisting rope structure; controlling the hoisting mechanism carrying the aircraft based on the allowable force envelope of each hoisting rope, so that the aircraft can switch between multiple target operating conditions, from the lifting stage to the release stage.