6 results about "Risk status" patented technology

This specification discloses a risk detection method and apparatus. The detection method, when detecting the risk of content itself, includes the following steps: First, the target content to be detected is input into a first large model to obtain a first prediction result, which indicates that the target content is high-risk, low-risk, or has an undetermined risk status. Next, in response to the first prediction result indicating an undetermined risk status, the target content and related risk discrimination rules are input into a second large model to obtain a second prediction result, which indicates a risk type to be detected or that the target content is low-risk. Then, in response to the second prediction result indicating a risk type to be detected, a third large model corresponding to that risk type is invoked to process the target content and related context information to generate a target risk detection result.

This invention provides a method for characterizing the risks of the preservation environment for museum collections, comprising the following steps: S1, constructing a risk characterization system and acquiring information on the museum collections and the environment; S2, acquiring environmental variables and environmental risk indicators, and identifying key environmental variables; S3, constructing an environmental risk status classification model and acquiring preset classification control limits; S4, acquiring several real-time environmental variables and determining the classification control limits at the current moment; S5, comparing the current classification control limits with the preset classification control limits to determine the current risk status classification and generate a risk control QR code; S6, displaying the generated QR code on a museum collection terminal device. Through the above steps, this invention can quantify and classify the risks of the preservation environment for museum collections and characterize them quickly and intuitively, enabling managers to promptly and fully grasp the risk status of the preservation environment, facilitating timely risk management, and improving the risk prevention, control, and protection capabilities for museum collections.

This invention relates to the field of infrastructure safety monitoring technology, specifically to a ground monitoring system and method for verifying the risk status of infrastructure. The method includes: acquiring the risk level, risk type, and status confidence level of the infrastructure, and integrating them into risk status information; dividing key risk areas and collecting infrastructure monitoring data in these areas in real time; mapping the infrastructure monitoring data to real-time operating status, performing consistency analysis between the real-time operating status and the risk status information, generating risk status verification results, and dynamically adjusting the monitoring strategy. The system includes: a risk status information acquisition module, a ground monitoring data acquisition module, a risk status verification module, and a monitoring strategy dynamic adjustment module. Through the above methods, the degree of matching between the risk status information and the actual operating status reflected by the on-site monitoring data is quantitatively judged from multiple dimensions, thereby improving the scientific nature, accuracy, and effectiveness of infrastructure safety risk management.

The embodiment of the invention provides a comprehensive risk factor model construction method and system based on power auditing, and belongs to the technical field of power auditing. The method comprises the following steps: acquiring risk elements of power auditing and corresponding historical data; constructing a risk classification system according to the historical data, and obtaining a risk weight and an influence weight of each risk factor; respectively constructing a risk matrix and an influence matrix according to the risk weight and the influence weight; the risk value of the current power auditing can be obtained according to the risk state matrix of the current power auditing, the risk level of the current power auditing can be determined based on the risk value, the precision is higher, and high-precision risk early warning can be realized based on the risk level of the current power auditing.

Effecting supply-chain-risk-managing by: identifying part-source-pairs; retrieving data impacting shipping; obtaining a current risk status vector that is a function of a data-state and a data-freshness; utilizing the current risk status vector to: obtain risk weighting vectors by category and user-role, time decay, and source quality factor data; apply the risk weighting vectors, time decay and source quality factor data to the risk status vector to obtain a risk score by part-source-pair; applying the risk weighting vectors, the time decay and source quality data with the risk score by part-source-pair to obtain a confidence score by part-source pair; adjusting alarm threshold levels, based on the risk score by part-source-pair, and a number of the implicated parts, accounting for prior shipment results from the source, including arrival time, quantity and quality of the parts; issuing an alarm when the risk score, and a number of the implicated parts, is above the threshold.

This invention discloses a construction site safety risk identification method based on multimodal spatiotemporal alignment and causal hypergraph, comprising the following steps: feature extraction from real-time collected multimodal construction site data; spatiotemporal alignment and normalization of the multimodal features to obtain a normalized multimodal state vector, and constructing a causal hypergraph based on this vector; risk evolution inference under multi-causal synergy based on the causal hypergraph to obtain a comprehensive risk score; and accurate identification of the construction site safety risk status by comparing the comprehensive risk score with a preset risk threshold. This invention solves the problem of existing construction site safety risk identification methods based on deep learning models, which rely on statistical correlation between data for risk determination, only outputting risk identification results but failing to trace and explain the root causes of the risks, leading to a significant reduction in the credibility and interpretability of the risk identification results.