Interface Conversion Device for 5G Industrial Protocol Delay Anomaly Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In mobile wireless communication networks, particularly 5G systems, there is a challenge in reliably transmitting industrial protocols with high reliability and low latency, and existing techniques struggle to accurately analyze communication failures due to variations in the radio wave environment, making it difficult to detect and diagnose issues effectively.
Innovation Solution
An interface conversion device is introduced that measures delay amounts and variations within the 5G system, using a delay amount measurement unit, storage unit, and anomaly detection unit to evaluate and detect communication anomalies, ensuring reliable transmission of industrial protocols and facilitating diagnosis of issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless industrial networks are used to transmit industrial protocols, then mobility and flexibility are improved, but communication reliability and latency performance deteriorate due to radio wave environment variations
Solution Approach 1:
The system performs preliminary actions by measuring delay amounts in advance and storing them in delay amount history information. The variation evaluation unit continuously monitors delay variations before actual communication failures occur, enabling proactive anomaly detection and prevention rather than reactive response to failures.
Solution Approach 2:
The system implements feedback mechanisms where the delay amount measurement unit continuously measures current delay, compares it with historical data through the variation evaluation unit, and feeds back anomaly detection results to the anomaly detection unit. This closed-loop feedback enables real-time monitoring and adaptive response to changing radio wave conditions.
2Reliability
If history information on industrial devices is used to identify problems, then operational issues can be detected, but the ability to analyze communication failure factors and specify wireless communication causes deteriorates
Solution Approach 1:
The system segments the delay measurement function into a dedicated delay amount measurement unit that specifically monitors communication delay parameters. This segmentation separates operational status monitoring from communication quality analysis, allowing specialized focus on measuring delay variations that indicate wireless communication problems without being diluted by general operational history data.
Solution Approach 2:
The system replaces traditional mechanical/history-based problem detection with a digital measurement approach. Instead of relying on stored operational history, the system uses real-time delay amount measurement units that digitally capture and analyze communication delay characteristics, enabling precise identification of wireless communication failure factors.
3Measurement precision
If delay amount measurement and variation evaluation are performed continuously, then communication anomalies can be detected accurately, but device complexity and processing requirements increase
Solution Approach 1:
The delay amount measurement unit serves multiple functions: it measures current delay, stores historical data, provides variation evaluation input, and supports anomaly detection. By making this single unit multi-functional, the system reduces overall device complexity while maintaining high measurement precision for anomaly detection.
Solution Approach 2:
The system manages complexity by focusing on a single critical parameter - delay amount - rather than measuring multiple communication quality parameters simultaneously. By concentrating measurement resources on delay variation, the system achieves high anomaly detection accuracy without proportionally increasing device complexity.
Data Source
AI summary
An interface conversion device of a mobile communication system includes: a delay amount measurement unit that measures a delay amount from a difference between an input time at which the mobile communication system has acquired a periodically transmitted time-synchronization signal and an output time at which the mobile communication system outputs the time-synchronization signal; a memory that stores delay amount history information including the measured delay amount; a variation evaluation unit that measures a variation amount indicating an instantaneous variation of the delay amount, using the delay amount history information and evaluates whether the variation amount is within an allowable range; and an anomaly detection unit that detects a communication anomaly in the mobile communication system on the basis of a result of the evaluation.


