2 results about "Adjacency relation" patented technology

A vertical stacking topology reconstruction method based on adjacency data and graph traversal, belonging to the field of measurement, is presented. The method includes acquiring adjacency data representing confirmed vertical relationships between containers; constructing a graph structure where each container is represented as a node, and each confirmed adjacency relationship is represented as a directed edge from a lower container to an upper container; identifying the bottom container, defined as a node with no incoming edges; assigning a vertical hierarchy index to each container through bottom-up graph traversal; and generating a stacking map representing the vertical arrangement of containers. By reconstructing the stacking topology using locally acquired adjacency data and graph modeling, discrete adjacency events are transformed into a directed graph, and vertical hierarchy is assigned through structured traversal. This eliminates the need for centralized coordination or predefined stacking patterns, enabling infrastructure-independent deployment. It can reconstruct the stacking topology using locally acquired adjacency data, exhibits determinism, supports decentralized deployment, and adapts to dynamic container arrangements, without relying on fragile or expensive sensing systems.

This invention discloses a method for evaluating the response delay of an electromagnetic clutch based on edge computing, comprising: acquiring multi-source time-series data and preprocessing it to generate a multi-channel sample sequence; calculating the local similarity between channels to establish a time-varying adjacency relation matrix sequence; aggregating the time-varying adjacency relation matrix sequence and weightedly fusing it with a physical topology matrix to form a topological constraint matrix; performing Laplace eigenmaps to generate low-dimensional manifold eigenvectors; mapping the low-dimensional manifold eigenvectors and inputting them into an improved quantum heuristic neural network model to generate a quantum hidden space representation; measuring the quantum hidden space representation to generate a response delay estimate and confidence level; and performing adaptive correction to generate the final delay result. This invention achieves accurate evaluation and dynamic correction of the response delay of an electromagnetic clutch by fusing Laplace eigenmaps and an improved quantum heuristic neural network model.