公开(公告)号：US11829116B2

公开(公告)日：2023-11-28

申请号：US17734113

申请日：2022-05-02

Applicant: ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY

Inventor： Haoqi Wang ,  Hao Li ,  Rongjie Huang ,  Gen Liu ,  Hongyu Du ,  Bing Li ,  Xiaoyu Wen ,  Yuyan Zhang ,  Chunya Sun

IPC: G05B19/406 ,  G05B19/4063 ,  G05B19/4069

CPC classification number: G05B19/4063 ,  G05B19/4069 ,  G05B2219/31025 ,  G05B2219/31439

Abstract: An intelligent identification and warning method for an uncertain object of a production line in a digital twin environment, includes: establishing a model library for uncertain physical objects from a non-production line system; adding attribute data to the uncertain physical objects from the non-production line system; importing an established model library and added attribute data for the uncertain physical objects from the non-production line system into a model library of an existing DT production line system; performing auto-detection on an uncertain physical object entering a production line system; performing auto-detection on an actual size of the uncertain physical object entering the production line system; warning a danger for an unsafe object by means of voice prompting, system alarming and information pushing; matching a corresponding three-dimensional (3D) model in the established model library for a safe object; and loading a matched 3D model to the DT production line system.

公开(公告)号：US11455767B1

公开(公告)日：2022-09-27

申请号：US17547285

申请日：2021-12-10

Applicant: ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY

Inventor： Hao Li ,  Bing Li ,  Haoqi Wang ,  Gen Liu ,  Guizhong Xie ,  Chunya Sun ,  Rongjie Huang ,  Xiaoyu Wen ,  Yuyan Zhang ,  Zhongshang Zhai ,  Fuquan Nie

IPC: G06T15/00 ,  G06T7/50

Abstract: An intelligent material completeness detection and configuration method based on digital twin and augmented reality (AR) includes: constructing a digital twin model base and knowledge base of an incomplete material; importing the digital twin model base and knowledge base of the incomplete material respectively into a model database and a knowledge database in a digital twin system database; sending materials to be detected into a vision-based material completeness detection platform, sorting out an incomplete material, acquiring corresponding data, and importing the data into an incomplete material information database; performing, based on an AR device, perception and reconstruction of incomplete material configuration; matching a configuration plan of the incomplete material in a digital twin relational database, and performing a virtual-real fusion in the AR device; and allowing, a worker to rapidly and accurately find a location and problem type of the incomplete material and configuration the incomplete material.