公开(公告)号：US20230229725A1

公开(公告)日：2023-07-20

申请号：US17799165

申请日：2022-05-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Xueguan SONG ,  Liangliang YANG ,  Xiaonan LAI ,  Xiwang HE ,  Kunpeng LI ,  Yong PANG ,  Wei SUN ,  Peng LI

IPC: G06F17/10

CPC classification number: G06F17/10

Abstract: The present invention belongs to the technical field of signal processing, and relates to an online fast processing method for real-time data based on edge computing. In the present invention, a dynamic online de-noising method is adopted to remove noise contained in speeds to ensure the effectiveness and accuracy of de-noising results; for the displacement integrated online, an efficient method is adopted for dynamic online de-noising to further reduce the effectiveness of drift in the displacement value on final integration results; and under the condition of ensuring the accuracy of an integration method, an integration algorithm is embedded into an edge device to realize fast calculation and analysis of data near a data source and realize dynamic fast integration of online signals based on edge computing, which provides effective references for efficient processing and calculation of data.

公开(公告)号：US20230342522A1

公开(公告)日：2023-10-26

申请号：US17799474

申请日：2022-05-05

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Xueguan SONG ,  Xiwang HE ,  Kunpeng LI ,  Xiaonan LAI ,  Liangliang YANG ,  Yitang WANG ,  Wei SUN

IPC: G06F30/23

CPC classification number: G06F30/23

Abstract: The present invention belongs to the field of the digital twin, and relates to a digital twin framework of weld joint fatigue based on a structural stress method. The framework is divided into an off-line stage and an on-line stage, wherein the off-line stage comprises establishing a finite element model, calculating equivalent structural stress, and training an artificial intelligence algorithm; and the on-line stage comprises reading sensor data, predicted by the artificial intelligence algorithm, counting by a rainflow counting method and calculating remaining life by cumulative damage. The framework combines five methods, i.e. a finite element method, a structural stress method, the artificial intelligence algorithm, an upper envelope method, the rainflow counting method, and a Miner linear cumulative damage method. The present invention realizes visual feedback and early warning of a dangerous position of a weld joint through real-time prediction of mechanical properties and fatigue damage of the weld joint.