Page 46 - Market Analysis Report of Optical Communications Field in China & Global market 2025

Table 1. Predictive model evaluation table
Production line Predictive index 7training set_R 9training set_R XR_ratio 7training set_MAPE 9training set_MAPE MX_ratio 7test set_MAPE 9test set_MAPE MC_ratio
(0,0) Zero dispersion wavelength 0.491272 0.75944
(0,0) λc mean 0.733162 0.84442
(0,0) λc(in)mean 0.719932 0.82298
(0,0) 1310MFD mean 0.929181 0.96504
(0,0) 1310MFD(in) mean 0.917445 0.95306
By drawing and collecting the measured data, the difference
between the prediction results and the actual measured
values is compared online to dynamically evaluate the
prediction effect of the model, as shown in Fig. 4. When
the model prediction deviation meets the requirements, it
is connected to the production control system to realize the
intelligent optimization of the production process.
Figure 4. Real-time deviation monitoring of big data AI predictions for
optical fiber preform quality
3.2 Automation of the Production Process
Unmanned or less-manned operation of the production
process is one of the core objectives of intelligent
manufacturing, which can significantly improve production
efficiency, reduce human errors and ensure product
consistency. FiberHome has realized a high degree of
automation in the production process by introducing
advanced automation equipment and systems.
FiberHome has fully carried out digital-enabled production
construction and independently developed the digital twin
3D intelligent optical fiber preform factory control system,
as shown in Fig. 5. 1:1 digital virtual simulation of all
equipment, real-time monitoring of all key parameters of
the optical fiber preform production equipment, and trend
analysis and early warning of important core parameters,
which enhances the enterprise's production control capacity
and data asset utilization rate.
Figure 5. Digital twin 3D plant panoramic view
Through production automation and the development of
digital technology capabilities, FiberHome has realized the
advantages of state visibility, quality visibility and remote
44
54.59%
15.18% 0.0010408 0.00084282 -19.03% 0.0013964 0.0026359 88.76%
14.31%
3.86% 0.0068304 0.00507987 -25.63% 0.0116615 0.0020858 78.87%
3.86%
0.0068612 0.00536076 -21.87% 0.0125892 0.0179060 42.23%
0.0026713 0.00186093 -30.34% 0.0059144 0.0091062 53.96%
0.0029256 0.00216591 -25.97% 0.0062456 0.0096742 54.90%
control in the field of optical fiber preform manufacturing,
and with the help of embedded big data management
model, it has mined the potential risks in real time and
improved the emergency response capability.
3.2.1 Intelligent Equipment. FiberHome has independently
researched and developed a series of key intelligent
equipments in the field of optical fiber preform
manufacturing, including core rod automatic deposition
and sintering integrated equipment, automated core rod
precision extension equipment and intelligent outside high-
speed deposition equipment, etc., which provide hardware
support for the construction of intelligent manufacturing
workshop.
Taking the optical fiber preform outside deposition process
as an example, the precise control of flame temperature
and position is a key factor to ensure product quality.
The traditional manual observation and adjustment
methods have limitations such as slow response speed
and difficulty in tracking flame changes in real time.
FiberHome introduced a flame state detection system based
on YOLOv8 algorithm, as shown in Fig. 6. The system
can detect the flame direction and color in real time and
compare it with the samples during training. Once the
deviation is found, the system will automatically trigger an
alarm and prompt manual adjustment, which improves the
safety of the production process and significantly reduces
the need for manual intervention.
Figure 6. Layered architecture of flame monitoring system
3.2.2 Intelligent Logistics System.On the basis of
production automation, FiberHome has further developed
an intelligent logistics system applicable to optical fiber
preform production, realizing fully automated material
distribution and management of the production process.