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2results about How to "Avoid human errors" patented technology

Image batch processing and commodity shelving method and device, equipment and storage medium

The invention discloses an image batch processing and commodity shelving method and device, equipment and a storage medium, and relates to the technical field of image processing. According to the method, the image batch processing script is integrated in the network shop operation platform, the image processing module is called by using the image batch processing script to carry out batch processing on the locally stored images, and the commodity information can be obtained according to the processed images; and then the images and the commodity information are published to the target network shop in batches, so that quick, efficient and customizable commodity shelving is realized, manual operation errors can be avoided, the commodity data accuracy is improved, and better user experience is brought.
Owner:SHENZHEN HOSONSOFT CO LTD

A method and system for automated generation of TSN network configuration based on reflective agents

ActiveCN121441738BImplement dynamic updatesAchieve continuous evolutionBiological modelsTransmissionResource informationDistributed computing
This invention relates to a method and system for automated generation of TSN network configurations based on a reflective agent. The system comprises a network state perception and intent reflection module, a YANG model configuration parameter and structure decision module, and a YANG model intelligent generation module. The network state perception and intent reflection module is responsible for structurally perceiving network state and resource information. The YANG model configuration parameter and structure decision module integrates multi-source knowledge and contextual information, intelligently generating deployable TSN scheduling parameters and YANG configuration structures based on business needs. The YANG model intelligent generation module automatically generates the corresponding YANG configuration model based on the optimized results, performs syntax and semantic verification, and then distributes it to the target device, achieving automated deployment of network configurations. This invention significantly improves the intelligence level and deployment automation capability of TSN network configuration by introducing reflective reasoning and feedback optimization techniques.
Owner:STATE GRID HUBEI ELECTRIC POWER RES INST