Page 48 - Market Analysis Report of Optical Communications Field in China & Global market 2025
P. 48
Figure 10. A decision tree from the random forest algorithm 4. Effectiveness of Construction
control challenges. As the management model evolves, By improving the level of digitization, automation,
process parameters have stabilized, and FiberHome has informatization and intelligence, FiberHome's Optical
developed a robust quality correlation model linking Fiber Preform Intelligent Manufacturing Workshop has
preforms to final optical fibers. This systematic approach optimized the quality control capability of the whole
ensures comprehensive control over production inputs, manufacturing process, and achieved a 4.8% increase in the
manufacturing processes, and end products, driving accuracy of product parameter prediction, an increase in
continuous quality improvement , as shown in Fig. 11. the qualified rate of products from 93.5% to 98.5%, and an
increase in production capacity of 34.6%.
Figure 11. Online statistics of drawing quality trend for optical fiber Big data technology also plays a key role in enabling
preforms collaborative innovation and intelligent management
throughout the entire industrial chain—from optical fiber
preform to optical fiber and optical cable. Through the
establishment of a data-sharing platform for the entire
industry chain, FiberHome has achieved seamless data
connectivity from raw material supply to market demand.
This data-sharing mechanism significantly improves
decision-making efficiency at each stage, while data-
driven inventory and production strategies enhance market
responsiveness, strengthening the competitiveness of the
entire industrial chain.
By employing quality tools and AI modeling analysis, 5. Conclusions
FiberHome has not only optimized the process and
resolved product quality problems, but also conducted in- Big data technology empowers intelligent manufacturing
depth analysis of manufacturing elements to identify latent of optical fiber preforms and drives innovation in advanced
defects in both processes and equipment. The innovative quality management technology for their production.
optimization of the production platform, combined with Through the informatization of data collection and
advanced technologies, has significantly contributed management, automation of production, intelligent
to enhanced production efficiency, reduced costs, and management and control, and synergy across the entire
accelerated process R&D. For example, the OVD rate was industry chain, FiberHome has successfully transitioned
increased from 85 g/min to 110 g/min, and the production from traditional manufacturing to intelligent production,
providing replicable solutions for the digital transformation
efficiency was increased by 29.4%, as shown in Fig. 12. of the optical fiber telecommunications industry. As
big data technology continues to advance, intelligent
Figure 12. AI-pattern-enhanced optical fiber preform manufacturing manufacturing technology for optical fiber preforms will
efficiency reach higher levels of automation and intelligence.
6. Acknowledgments
This work was supported by Wuhan Science and
Technology Program (Grant No. 2023030103010001)
7. Reference
[1] J. Wang, C. Xu, J. Zhang, and R. Zhong, “Big data analytics
for intelligent manufacturing systems: A review,” J. Manuf. Syst.,
62, 738-752(2022).
[2] L. Jin, X. Zhai, K. Wang, et al., “Big data, machine learning,
and digital twin assisted additive manufacturing: A review,”
Mater. Des., 244, 113086(2024).
[3] C. A. Escobar, M. E. McGovern and R. Morales-Menendez,
“Quality 4.0: a review of big data challenges in manufacturing,” J.
Intell. Manuf., 32,2319-2334(2021).
46
