Design of an automation modification of a TV backplane traversing module in the context of artificial intelligence

This study deals with the automation of TV backplane transversal modules and proposes an innovative automation solution by integrating digital economy and artificial intelligence (AI) technologies. By analysing the limitations of existing manually operated systems, this study designs an automation system that incorporates AI algorithms to achieve an intelligent and data-driven production process. The study covers automation system design, key component selection, intelligent control system development and performance optimisation. Through theoretical analysis and experimental validation, the modified automation system significantly improves productivity and product quality, while reducing labour costs and operational risks. In addition, this study explores the role of automation transformation in promoting the digital economy, providing new insights into the intelligent transformation of the home appliance manufacturing industry. The research results provide a theoretical basis and practical guidance for the automation upgrading of TV backplane transversal modules, which is of great significance for improving the intelligent level of the home appliance manufacturing industry and promoting the development of the digital economy.

Authors

Institutions

Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1145/3745238.3745370
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of an automation modification of a TV backplane traversing module in the context of artificial intelligence

Y Chen, Fangyang Zhang, Guojun Wei, Renjun Wu et al.
Advanced Manufacturing and Logistics Optimization
article

Design of an automation modification of a TV backplane traversing module in the context of artificial intelligence

Y Chen, Fangyang Zhang, Guojun Wei, Renjun Wu, Yinfeng Hu, Bolin Hou, Jing Wang, Zhe Lv, Yi Wei
article en

Abstract

This study deals with the automation of TV backplane transversal modules and proposes an innovative automation solution by integrating digital economy and artificial intelligence (AI) technologies. By analysing the limitations of existing manually operated systems, this study designs an automation system that incorporates AI algorithms to achieve an intelligent and data-driven production process. The study covers automation system design, key component selection, intelligent control system development and performance optimisation. Through theoretical analysis and experimental validation, the modified automation system significantly improves productivity and product quality, while reducing labour costs and operational risks. In addition, this study explores the role of automation transformation in promoting the digital economy, providing new insights into the intelligent transformation of the home appliance manufacturing industry. The research results provide a theoretical basis and practical guidance for the automation upgrading of TV backplane transversal modules, which is of great significance for improving the intelligent level of the home appliance manufacturing industry and promoting the development of the digital economy.

Huizhou University (CN)
Openalex Percentile: Top 74%
Advanced Manufacturing and Logistics Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.