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

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.