Drive Test Data Visualization Across Multi-Source Telecom Logs
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Solution Overview
Problem
Existing methods for visualizing drive test data from multiple sources require significant development efforts, including parsing, translating, and validating data from each new source, leading to inefficiencies and hinder scalability and agility in network optimization.
Innovation Solution
A system and method that employs separate data parser, translator, and validator modules for each data source, storing validated data in a centralized database with a unique identifier, allowing seamless integration of new sources and minimizing development efforts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate data parser, translator, and validator modules are implemented for each data source, then the system can handle diverse data sources with standardized processing, but the device complexity increases due to multiple modules
Solution Approach 1:
The patent implements separate parser, translator, and validator modules that can universally handle multiple data sources through standardized interfaces. Each module is designed to work with various drive test data sources (e.g., Tektronix, Anritsu, Rohde & Schwarz) without requiring custom development for each source, achieving multi-functionality while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The system divides the data processing functionality into distinct modular components: parser modules for different data sources, a translator module for format conversion, and a validator module for data quality assurance. This segmentation allows each module to be independently developed, tested, and maintained, reducing overall system complexity while enhancing adaptability to new data sources.
2Manufacturing precision
If custom data parsing and translation algorithms are developed for each new data source, then data accuracy is ensured, but development time and resources increase significantly
Solution Approach 1:
The patent implements pre-configured parser, translator, and validator modules for common drive test data sources during system setup. These modules are prepared in advance with source-specific parsing logic and translation rules, so when a new data source is added, the system can leverage existing templates and configurations rather than developing algorithms from scratch, significantly reducing development time while maintaining data accuracy.
Solution Approach 2:
The system uses template-based copying where parser and translator configurations for new data sources can be created by copying and adapting existing configurations from similar sources. This allows rapid deployment of new data source support by replicating proven parsing and translation logic, ensuring data accuracy through validated templates while minimizing development effort.
3Productivity
If data from multiple sources is integrated into a unified visualization layer, then comprehensive network analysis is enabled, but data synchronization and alignment become increasingly difficult
Solution Approach 1:
The patent introduces a translator module as an intermediary component between diverse data sources and the unified visualization layer. This translator standardizes data formats and structures from different drive test sources into a common representation, enabling seamless integration and synchronization without direct complex mappings between each source pair, thereby simplifying the overall data integration architecture while supporting comprehensive multi-source analysis.
Data Source
AI summary
The present invention discloses a system (108) and method for analyzing and visualizing data in context of a telecom network The system (108) allows drive test data from various sources to be efficiently parsed, translated, and validated 5 using a data parser module (212), a translator module (216), and a validator module (214) for each individual drive test data source. The processed data from each drive test data source is subsequently stored in a centralized database (210). The system enables the execution of separate processing jobs aimed at visualizing drive test data from multiple sources across different layers. The visualization aspect provides 10 valuable insights into the performance and characteristics of the telecom network, facilitating enhanced analysis and decision-making processes.