5results about How to "Accuracy advantage" patented technology

The invention provides a robot terrain recognition method based on depth feature dimension reduction and visual optimization, and belongs to the technical field of robot visual perception and intelligent classification. Comprising the following steps: acquiring an input image of a terrain category by using a camera of a robot body, and preprocessing the input image to obtain a preprocessed input image; the method comprises the steps that a ResNet50 network structure is adjusted to obtain an improved ResNet50 network, ImageNet is used for pre-training the improved ResNet50 network, the improved ResNet50 network completing pre-training serves as a feature extractor, and a feature tensor is extracted from an input image; dimension reduction processing is carried out on the feature tensor to obtain a feature vector after dimension reduction, the feature vector after dimension reduction is mapped to a two-dimensional embedding space, and a cluster distribution structure of different terrain categories in the feature space is visually presented; and selecting a classifier to obtain a final classification score of the terrain category.

The invention relates to a container escape real-time detection method based on an eBPF and a knowledge graph, and belongs to the field of network security. The method comprises the following steps: capturing multiple types of key events related to container escape in real time through a kernel-level probe by adopting an eBPF technology, and filtering irrelevant behaviors according to a preset triggering condition, extracting corresponding key information fields from the key events, and uniformly packaging the key information fields into a standard event structure; converting event data of the collected standard event structure into nodes and relationships in a container security knowledge graph, forming a semantic network representing a system operation state, and constructing the container security knowledge graph; and according to information in the container security knowledge graph, carrying out mapping analysis on a key event accessed in real time, and judging whether container escape occurs or not through predefined rule matching and abnormal behavior analysis. According to the method, implementation does not depend on a probe in a container, and eBPF deployment is convenient and fast; known mode recognition and unknown anomaly discovery are both considered, and missing report is reduced.

This invention relates to the field of fluid mechanics, specifically to a method for constructing a high-pressure fluid model. The method includes: acquiring multi-scale fluid data, including molecular dynamics data, experimental-scale data, and in-situ detection data; transferring data from the low- and medium-pressure domains to the ultra-high-pressure domain using a pressure-gradient transfer learning network, and outputting predicted values ​​of physical property parameters; receiving in-situ data in real time using embedded hardware and calculating correction factors; dynamically reconstructing the source terms of the fluid control equations based on the correction factors; and triggering a reinforcement learning optimizer to reconstruct the model equations when the average relative error exceeds a threshold. The purpose of this invention is to provide a method, computer equipment, and storage medium for constructing a high-pressure fluid model, solving many problems in the prior art and demonstrating significant advantages in the accuracy, real-time performance, and adaptability of the fluid model, providing strong technical support for research and applications in related fields.

The invention discloses a cooperative deformation monitoring point laying method and system for existing subway parking base upper cover development engineering, and belongs to the technical field of structural deformation monitoring. The method comprises the following steps: determining a cooperative deformation influence area; identifying a structural joint and a force flow transmission path in the area; dynamically laying settlement monitoring points based on a structural joint settlement threshold value, and continuously laying strain, corner and three-dimensional strain monitoring points along a force flow transmission path to form a linear candidate monitoring point set; generating a two-dimensional grid candidate point set in the influence area; and carrying out topological overlay analysis based on a Delaunay triangulation network and a Voronoi diagram on the two types of candidate point sets, deleting redundant grid points through a distance threshold value, supplementing monitoring blind area points through uniformity check, and outputting a final monitoring point coordinate set. According to the method, the problem that point distribution is not systematic or the cost is high in a traditional method is solved, and unification of systematicness, economical efficiency and space coverage uniformity of monitoring point distribution is achieved.