Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2results about How to "Solve technical problems with poor compatibility" patented technology

A method for constructing a relationship of a territorial space information model

PendingCN122264069ASolve technical problems with poor compatibilityAchieve coding unificationBiological modelsKnowledge representationEngineeringInformation model
This invention provides a method for constructing relationships in a land spatial information model (TIM), relating to the field of data processing. Specifically, it includes the following steps: generating a three-segment structured code for geographic entities; constructing a "topological potential field emergence engine for geographic entity relationships" based on the generated three-segment structured code, automatically deriving multi-dimensional relationships between geographic entities, and outputting a standardized and evolvable geographic entity relationship map; and achieving integrated coding fusion and application across provinces, cities, and counties based on a hierarchical mapping knowledge base and a resource code fusion model, supporting smooth migration of existing data and end-to-end business collaboration. The technical solution of this invention overcomes the problem in existing technologies where the association logic between various domains and TIM geographic entity relationships is not yet clear, making it difficult to support the integration of multi-dimensional geographic entity relationships based on time, attributes, and business.
Owner:SHANDONG UNIV OF SCI & TECH +1

Intelligent railway automation inspection system and method based on multi-modal fusion

PendingCN122656592ASolve technical problems with poor compatibilityReduce false alarm rate
The application discloses an intelligent railway automation inspection system and method based on multi-modal fusion, which synchronously collects track structure vibration signals and line environment visual data by deploying high-sensitivity three-axis vibration sensors and high-definition industrial cameras on track locomotives; uses an edge computing unit to perform VMD variational modal decomposition and mixed domain feature extraction on original vibration data, and performs illumination adaptive preprocessing on image data; then uploads feature data to the cloud through 5G / Ethernet, and a multi-modal large model with a cross-modal attention fusion mechanism is deployed to perform adaptive weight distribution and complementary alignment on vibration features and visual features, realizes accurate identification of track cracks, fastener loss, foreign matter intrusion, ballast disease and other abnormalities, and outputs track structure integrity scores. The application solves the technical problems of high false alarm rate of traditional single modal detection and poor compatibility in harsh environments, and significantly improves the automation degree and detection accuracy of railway inspection.
Owner:CHANGZHOU VOCATIONAL INST OF ENG