Intelligent Network Data Analyzer for External Event Detection
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Solution Overview
Problem
Traditional signaling networks, such as the SS7 network, are unable to detect or analyze external events effectively, which can include significant occurrences like vehicle accidents or weather damage, as they primarily focus on internal signaling and do not comprehensively monitor external data sources.
Innovation Solution
A data analyzer system is introduced that collects and analyzes both internal signal message data and external data sources, using a common-channel signal interface, data analyzer, and user interface to produce alerts for external events by fusing signal message data with external data through techniques like data fusion and artificial intelligence processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional signaling networks focus on internal signaling only, then network operation stability is maintained, but ability to detect external events is insufficient
Solution Approach 1:
The system segments the detection function by introducing a separate data analyzer component that interfaces with both the signaling network and external data sources. This segmentation allows the core signaling network to maintain its stability while the added component provides external event detection capabilities without complicating the core network structure.
Solution Approach 2:
A common-channel signal interface acts as an intermediary between the internal signaling network and external data sources. This intermediary component enables the network to access external information (weather data, traffic data, etc.) without directly integrating complex external systems into the core signaling infrastructure, thus maintaining network simplicity while enhancing detection capabilities.
2Measurement precision
If signal message data is analyzed alone, then processing simplicity is maintained, but detection accuracy of external events is insufficient
Solution Approach 1:
The system merges internal signal message data with external data sources (weather data, traffic data, event data) through a data fusion process. By combining multiple data types, the system achieves higher detection accuracy for external events while managing processing complexity through structured data integration methods.
Solution Approach 2:
The data analyzer is designed with multi-functionality to handle various types of data (signal message data, weather data, traffic data, event data) through a unified processing framework. This universal approach enables accurate detection of diverse external events while avoiding the need for separate specialized processing systems for each data type.
3Reliability
If comprehensive external data collection is implemented, then event detection capability is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing external data (weather data, traffic data, event data) before events occur. This allows the data to be ready for immediate analysis when signal message data indicates a potential event, reducing the processing time needed at the moment of detection while maintaining high reliability through comprehensive data collection.
Data Source
AI summary
A system and method in an intelligent network are provided for analyzing an event external to the intelligent network. A set of intelligent network subscribers is selected in a selected geographic area. Next, signal message data is obtained from a signaling network in the intelligent network, wherein the signal message data indicates status of subscribers in the set of intelligent network subscribers. External data related to the selected geographic area is obtained, wherein the external data is external to the intelligent network. The signal message data and the external data are then fused to produce synthetic data. In response to the synthetic data, an alert of an external event is produced. The alert can be graphically represented on a display.