3results about How to "Reduce disposal time" patented technology

This invention provides a method and system for abnormal event association processing based on an operation and maintenance knowledge graph, belonging to the field of operation and maintenance management technology. The method includes: taking each abnormal event entity in a structured abnormal event sequence as an input node set; based on the topological mapping position of the input node set in a preset operation and maintenance knowledge graph, aggregating the k-order adjacency topological features and business semantic embedding features of each input node to obtain a graph event representation vector; performing pairwise comparison and temporal alignment of the feature vectors representing different abnormal event entities in the graph event representation vector; iteratively calculating the temporal lag correlation index and state transition probability matrix between each abnormal event entity; and converging to obtain a candidate abnormal event association subgraph based on the state transition probability matrix and a preset association confidence threshold. This invention realizes abnormal event association and handling instruction generation, improving operation and maintenance efficiency and the accuracy of fault root cause location.

This invention relates to the field of aviation technology in image processing, specifically disclosing an aviation smoke detection method based on image recognition. The method acquires continuous image sequences from multiple perspectives within the cabin, constructs a four-dimensional spatiotemporal tensor, extracts temporal feature sequences along the time axis, and performs directional convolution sampling based on airflow direction parameters to obtain spatiotemporal response values, which are then aggregated into a feature map set. Spatial weights are generated based on the physical laws of smoke diffusion, and temporal weights are generated based on grayscale fluctuation frequency; these weighted values ​​yield a feature representation. The feature representation is decomposed into spatial response maps, and the three-dimensional coordinate parameters of the smoke source are obtained through spatial coordinate voting and weighted fusion. A confidence score is calculated based on the dispersion of candidate coordinates and airflow paths. The coordinate information is matched to cabin spatial layout data to generate a situational output. This invention can achieve precise location of smoke sources and output reliability quantification indicators in strong airflow environments.

This invention provides an intelligent fire extinguishing system for a shaft boring machine (TBM), comprising a fire detection and sensing unit, a TBM equipment status sensing unit, an intelligent fire control center, a fire extinguishing execution unit, a remote data transmission unit, a lighting and alarm unit, and a power management unit. The fire detection and sensing unit and the TBM equipment status sensing unit are electrically connected to the remote data transmission unit, which is electrically connected to the intelligent fire control center. The intelligent fire control center is electrically connected to the fire extinguishing execution unit and the lighting and alarm unit. The power management unit supplies power to the entire system. This invention aims to solve the problems of slow response speed, poor fire extinguishing effect, lack of intelligence, and insufficient safety in existing shaft boring machine fire protection systems, in order to meet the safety requirements of pumped storage power station tunnel projects.