Synchronization Network Monitoring for Real-Time Time Error Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for identifying time error issues in synchronization networks are manual, lack automation, and do not provide a comprehensive network view or real-time detection of faulty nodes, leading to inefficiencies in synchronization accuracy.
Innovation Solution
A monitoring system that collects reporting data from nodes in a synchronization network to determine relative time error information and identify performance issues, providing automated, real-time detection of faulty nodes and cumulative time errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used to identify time error issues, then device complexity is reduced, but productivity and measurement precision deteriorate
Solution Approach 1:
A centralized monitoring system acts as an intermediary between PTP clock nodes and network operators. The monitoring system collects timing data from multiple nodes, performs automated analysis to identify time error issues, and provides recommendations without requiring manual intervention at each node. This intermediary approach enables automated detection across the network while keeping individual node complexity low.
Solution Approach 2:
The monitoring system implements continuous feedback by collecting real-time timing data from PTP clock nodes, analyzing time error trends, and providing actionable insights back to the network. This feedback loop enables dynamic adjustment and automated identification of synchronization issues without requiring manual monitoring at each node.
2Measurement precision
If automated real-time detection is implemented, then measurement precision and productivity improve, but device complexity increases
Solution Approach 1:
The monitoring system segments the complex task of network-wide time error detection into manageable components: data collection from individual PTP clock nodes, centralized analysis of timing data, and generation of specific recommendations for each identified issue. This segmentation allows automated real-time detection with high precision while distributing complexity across modular functions rather than requiring a monolithic complex system.
Data Source
AI summary
In some implementations, a monitoring system may obtain reporting data from a node of a plurality of nodes in a synchronization network. The monitoring system may determine, based on the reporting data, relative time error information associated with the node. The monitoring system may determine, based on at least one of the reporting data or the relative time error information, whether the node is associated with one or more time error performance issues. The monitoring system may provide information indicating whether the node is associated with the one or more time error performance issues.