Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business

Tang Yan; Liu Yong Jiang; Gong Ke

doi:doi:10.11648/j.sd.20251306.11

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Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business

Tang Yan^*

, Liu Yong Jiang

, Gong Ke

Published in Science Discovery (Volume 13, Issue 6)

Received: 21 November 2025 Accepted: 21 November 2025 Published: 22 November 2025

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Abstract

In the current digital health service technology architecture, a dedicated network operates on wavelength division systems built with OTN (Optical Transport Network) and related technologies. However, OTN-based wavelength division optical networks inherently suffer from limitations, as they can only perform hardware monitoring of service signals and detect deviations from standard optical power levels.Facing the construction and development trend of digital health transmission system，to address the current lack of system-level bottleneck detection capabilities in wavelength division systems, we introduce intelligent features such as characteristic data analysis and model-based evaluation, enabling dynamic perception of system bottlenecks. Starting from mathematical models that correlate optical capacity with carrier number capacity, we developed a bottleneck detection method for wavelength division systems. This approach requires only the collection of one type of system parameter and utilizes software tools for carrier beam data analysis to monitor system bottlenecks, perform diagnostics, and locate fault segments. During practical implementation, this method remains compatible with traditional wavelength division troubleshooting techniques, a technical trial run was conducted on the city's digital health business dedicated networkachieving Supports remote medical consultation and diagnostic testing services for municipal districts and five county-level regions, cost-effective and accurate identification of bottleneck points while significantly enhancing the security of digital health information transmission.

Published in	Science Discovery (Volume 13, Issue 6)
DOI	10.11648/j.sd.20251306.11
Page(s)	108-112
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Focusing Systems, Bottlenecks, Judging, Optical Capacity, Beam

References

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APA Style

Yan, T., Jiang, L. Y., Ke, G. (2025). Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business. Science Discovery, 13(6), 108-112. https://doi.org/10.11648/j.sd.20251306.11

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ACS Style

Yan, T.; Jiang, L. Y.; Ke, G. Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business. Sci. Discov. 2025, 13(6), 108-112. doi: 10.11648/j.sd.20251306.11

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AMA Style

Yan T, Jiang LY, Ke G. Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business. Sci Discov. 2025;13(6):108-112. doi: 10.11648/j.sd.20251306.11

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@article{10.11648/j.sd.20251306.11,
  author = {Tang Yan and Liu Yong Jiang and Gong Ke},
  title = {Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business
},
  journal = {Science Discovery},
  volume = {13},
  number = {6},
  pages = {108-112},
  doi = {10.11648/j.sd.20251306.11},
  url = {https://doi.org/10.11648/j.sd.20251306.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20251306.11},
  abstract = {In the current digital health service technology architecture, a dedicated network operates on wavelength division systems built with OTN (Optical Transport Network) and related technologies. However, OTN-based wavelength division optical networks inherently suffer from limitations, as they can only perform hardware monitoring of service signals and detect deviations from standard optical power levels.Facing the construction and development trend of digital health transmission system，to address the current lack of system-level bottleneck detection capabilities in wavelength division systems, we introduce intelligent features such as characteristic data analysis and model-based evaluation, enabling dynamic perception of system bottlenecks. Starting from mathematical models that correlate optical capacity with carrier number capacity, we developed a bottleneck detection method for wavelength division systems. This approach requires only the collection of one type of system parameter and utilizes software tools for carrier beam data analysis to monitor system bottlenecks, perform diagnostics, and locate fault segments. During practical implementation, this method remains compatible with traditional wavelength division troubleshooting techniques, a technical trial run was conducted on the city's digital health business dedicated networkachieving Supports remote medical consultation and diagnostic testing services for municipal districts and five county-level regions, cost-effective and accurate identification of bottleneck points while significantly enhancing the security of digital health information transmission.
},
 year = {2025}
}

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TY  - JOUR
T1  - Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business

AU  - Tang Yan
AU  - Liu Yong Jiang
AU  - Gong Ke
Y1  - 2025/11/22
PY  - 2025
N1  - https://doi.org/10.11648/j.sd.20251306.11
DO  - 10.11648/j.sd.20251306.11
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 108
EP  - 112
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20251306.11
AB  - In the current digital health service technology architecture, a dedicated network operates on wavelength division systems built with OTN (Optical Transport Network) and related technologies. However, OTN-based wavelength division optical networks inherently suffer from limitations, as they can only perform hardware monitoring of service signals and detect deviations from standard optical power levels.Facing the construction and development trend of digital health transmission system，to address the current lack of system-level bottleneck detection capabilities in wavelength division systems, we introduce intelligent features such as characteristic data analysis and model-based evaluation, enabling dynamic perception of system bottlenecks. Starting from mathematical models that correlate optical capacity with carrier number capacity, we developed a bottleneck detection method for wavelength division systems. This approach requires only the collection of one type of system parameter and utilizes software tools for carrier beam data analysis to monitor system bottlenecks, perform diagnostics, and locate fault segments. During practical implementation, this method remains compatible with traditional wavelength division troubleshooting techniques, a technical trial run was conducted on the city's digital health business dedicated networkachieving Supports remote medical consultation and diagnostic testing services for municipal districts and five county-level regions, cost-effective and accurate identification of bottleneck points while significantly enhancing the security of digital health information transmission.

VL  - 13
IS  - 6
ER  -

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Author Information

Tang Yan

Information Technology Section, Dazhou Health and Family Planning Information Center, Dazhou, China

Contact Email

http://orcid.org/0009-0008-9467-5370
Liu Yong Jiang

Information Center, Dazhou Third People's Hospital, Dazhou, China

http://orcid.org/0009-0003-2950-0199
Gong Ke

Information Center, Dazhou First People's Hospital, Dazhou, China

http://orcid.org/0009-0007-6270-0941

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Plain Text BibTeX RIS

APA Style

Yan, T., Jiang, L. Y., Ke, G. (2025). Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business. Science Discovery, 13(6), 108-112. https://doi.org/10.11648/j.sd.20251306.11

Copy | Download

ACS Style

Yan, T.; Jiang, L. Y.; Ke, G. Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business. Sci. Discov. 2025, 13(6), 108-112. doi: 10.11648/j.sd.20251306.11

Copy | Download

AMA Style

Yan T, Jiang LY, Ke G. Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business. Sci Discov. 2025;13(6):108-112. doi: 10.11648/j.sd.20251306.11

Copy | Download

@article{10.11648/j.sd.20251306.11,
  author = {Tang Yan and Liu Yong Jiang and Gong Ke},
  title = {Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business
},
  journal = {Science Discovery},
  volume = {13},
  number = {6},
  pages = {108-112},
  doi = {10.11648/j.sd.20251306.11},
  url = {https://doi.org/10.11648/j.sd.20251306.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20251306.11},
  abstract = {In the current digital health service technology architecture, a dedicated network operates on wavelength division systems built with OTN (Optical Transport Network) and related technologies. However, OTN-based wavelength division optical networks inherently suffer from limitations, as they can only perform hardware monitoring of service signals and detect deviations from standard optical power levels.Facing the construction and development trend of digital health transmission system，to address the current lack of system-level bottleneck detection capabilities in wavelength division systems, we introduce intelligent features such as characteristic data analysis and model-based evaluation, enabling dynamic perception of system bottlenecks. Starting from mathematical models that correlate optical capacity with carrier number capacity, we developed a bottleneck detection method for wavelength division systems. This approach requires only the collection of one type of system parameter and utilizes software tools for carrier beam data analysis to monitor system bottlenecks, perform diagnostics, and locate fault segments. During practical implementation, this method remains compatible with traditional wavelength division troubleshooting techniques, a technical trial run was conducted on the city's digital health business dedicated networkachieving Supports remote medical consultation and diagnostic testing services for municipal districts and five county-level regions, cost-effective and accurate identification of bottleneck points while significantly enhancing the security of digital health information transmission.
},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Bottleneck Determination Technology and Application of Wavelength Division System for Signal Transmission in Digital Health Business

AU  - Tang Yan
AU  - Liu Yong Jiang
AU  - Gong Ke
Y1  - 2025/11/22
PY  - 2025
N1  - https://doi.org/10.11648/j.sd.20251306.11
DO  - 10.11648/j.sd.20251306.11
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 108
EP  - 112
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20251306.11
AB  - In the current digital health service technology architecture, a dedicated network operates on wavelength division systems built with OTN (Optical Transport Network) and related technologies. However, OTN-based wavelength division optical networks inherently suffer from limitations, as they can only perform hardware monitoring of service signals and detect deviations from standard optical power levels.Facing the construction and development trend of digital health transmission system，to address the current lack of system-level bottleneck detection capabilities in wavelength division systems, we introduce intelligent features such as characteristic data analysis and model-based evaluation, enabling dynamic perception of system bottlenecks. Starting from mathematical models that correlate optical capacity with carrier number capacity, we developed a bottleneck detection method for wavelength division systems. This approach requires only the collection of one type of system parameter and utilizes software tools for carrier beam data analysis to monitor system bottlenecks, perform diagnostics, and locate fault segments. During practical implementation, this method remains compatible with traditional wavelength division troubleshooting techniques, a technical trial run was conducted on the city's digital health business dedicated networkachieving Supports remote medical consultation and diagnostic testing services for municipal districts and five county-level regions, cost-effective and accurate identification of bottleneck points while significantly enhancing the security of digital health information transmission.

VL  - 13
IS  - 6
ER  -

Copy | Download