Evidence map›Paper›PMID 40648150›Full record

ArticleSensors (Basel, Switzerland)2025

Research on the Digital Twin System of Welding Robots Driven by Data.

Saishuang Wang, Yufeng Jiao, Lijun Wang, Wenjie Wang, Xiao Ma, Qiang Xu, Zhongyu Lu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Saishuang WangCollege of Electrical Engineeringy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Yufeng JiaoManagement Center of Xiaolangdi Water Conservancy Hub of Ministry of Water Resources, Jiyuan 459000, China.
Lijun WangSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Wenjie WangSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Xiao MaSchool of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Qiang XuSchool of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.ORCID 0000-0002-5903-9781
Zhongyu LuThe Glass Box, 6 Friendly Street, Huddersfield, HD1 1RD, UK.

Funding

Graduate Education Reform Project of Henan Province 2023SJGLX021YHenan Province Key R&D Special Project (231111112700) and the Scientific and Technological Project of Henan Province NO. 232102211035, NO. 242102240133the Water Conservancy Equipment and Intelligent Operation and Maintenance Engineering Tech-nology Research Centre in Henan Province Yukeshi2024-01ZHONGYUAN Talent Program ZYYCYU202012112
6 · The paper itself

Abstract

With the rise of digital twin technology, the application of digital twin technology to industrial automation provides a new direction for the digital transformation of the global smart manufacturing industry. In order to further improve production efficiency, as well as realize enterprise digital empowerment, this paper takes a welding robot arm as the research object and constructs a welding robot arm digital twin system. Using three-dimensional modeling technology and model rendering, the welding robot arm digital twin simulation environment was built. Parent-child hierarchy and particle effects were used to truly restore the movement characteristics of the robot arm and the welding effect, with the help of TCP communication and Bluetooth communication to realize data transmission between the virtual segment and the physical end. A variety of UI components were used to design the human-machine interaction interface of the digital twin system, ultimately realizing the data-driven digital twin system. Finally, according to the digital twin maturity model constructed by Prof. Tao Fei's team, the system was scored using five dimensions and 19 evaluation factors. After testing the system, we found that the combination of digital twin technology and automation is feasible and achieves the expected results.

Indexed as

3D modelingDigital twinvirtual simulationWelding robotic arm

Identifiers

PMID40648150
PMCPMC12251800

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.