成都网丁科技有限公司

CUSTOMER CHALLENGES

High Maintenance Complexity

Numerous services span across 5G private networks, carrier dedicated lines, and enterprise intranets,featuring diverse network types and extended chains. Particularly, the widely distributed 5G access segments in harsh environments are prone to frequent failures, significantly increasing maintenance difficulty.

Troubleshooting Challenges

There are monitoring blind spots in the 5G access segments. Even with network management systems, only the connectivity status (up/down) is visible, making it impossible to detect and locate network degradation issues, resulting in time-consuming and labor-intensive fault resolution.

Accountability Issues

For 5G private network services provided by carriers, there is a lack of effective means to define boundaries and responsibilities, leading to finger-pointing when quality issues arise.

Evaluation Difficulties

There is no scientific method to assess the operational quality of 5G private networks that require substantial investment for construction or leasing, making it impossible to determine whether the network is performing well or not.

SOLUTION

Connection-Oriented Monitoring

Deploy probes at multiple nodes including the application side, MEC (Multi-access Edge Computing) side, access side, and terminals. Utilizing various detection technologies such as service simulation probing, the solution automatically captures end-to-end service connection topology. This encompasses enterprise intranets, carrier dedicated lines, and 5G private networks, achieving 'one enterprise, multiple networks, one unified topology'."

Fault Precise Localization

Through AI machine learning algorithms, the system achieves end-to-end automatic fault diagnosis and precise localization without requiring manual intervention or judgment.

PRODUCT VALUE

Connection-Oriented Full Network Visibility

For the first time in the industry, end-to-end business connection monitoring across the service side, MEC side, access side, and terminal side has been realized. This enables operations and maintenance (O&M) teams to have full visibility of the entire network, allowing them to effectively manage the operational status of 5G private networks and enterprise intranets.

Precise Fault Location and Boundary Definition

Through AI algorithms, the system automatically detects and locates faults and performance degradation in 5G private networks, operator leased lines, and enterprise intranets. This ensures precise fault identification and boundary definition, greatly improving troubleshooting efficiency and avoiding the shifting of responsibility.

Multidimensional Quality Assessment

By using AI modeling and quantitative analysis, the system provides a multidimensional quality assessment at the connection, application, and slice levels, enabling O&M teams to truly understand the quality of 5G services.