Telecommunication Data Objects for Mobile Device Movement Analysis
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Solution Overview
Problem
Current methods for analyzing mobile device movement using telecommunication networks are inflexible, requiring new algorithms and data structures for each analysis, leading to incompatible data and inefficient querying processes, which limits real-time monitoring and future analysis capabilities.
Innovation Solution
A method that organizes and extends data objects with derived attributes using algorithms, allowing for flexible analysis and reuse of knowledge across different queries, while maintaining compatibility and enabling efficient storage and processing of large datasets through distributed computing and database models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If new algorithms and data structures are developed for each analysis, then analysis flexibility is improved, but system complexity and processing time increase
Solution Approach 1:
The patent implements a universal data structure that can serve multiple analysis purposes simultaneously. The data structure is designed to accommodate different types of telecommunication data and support various analysis algorithms without requiring separate structures for each analysis type, thereby reducing system complexity while maintaining analysis flexibility.
Solution Approach 2:
The patent employs dynamic data structures that can adapt their organization and attributes based on the specific analysis requirements. The system dynamically selects and configures data structures according to the analysis type, allowing flexibility without permanently increasing system complexity for all possible analyses.
2Productivity
If data is presorted for single device tracking, then query speed is improved, but adaptability for other analysis types deteriorates
Solution Approach 1:
The patent segments the data storage into multiple organized structures, including presorted data for single device tracking and alternative organizational structures for other analysis types. This segmentation allows the system to quickly switch between different data organization methods depending on the analysis requirement, maintaining both query speed and adaptability.
Solution Approach 2:
The patent implements partial presorting where data is organized for common query types while maintaining the capability to reorganize for less common analysis types. The system performs presorting to the extent needed for typical operations while preserving adaptability for specialized analyses without the full overhead of complete multi-way organization.
3Adaptability or versatility
If telecommunication control data are used for secondary purposes, then data utility is improved, but data protection compliance becomes more difficult
Solution Approach 1:
The patent extracts and separates personally identifiable information from telecommunication control data, storing only the necessary anonymized attributes for analysis. This extraction allows the data to be used for various secondary purposes while removing the elements that would compromise data protection compliance.
Solution Approach 2:
The patent introduces an intermediary anonymization layer between the raw telecommunication data and the analysis processes. This intermediary transforms the data into an intermediate form that retains analytical utility while eliminating direct links to individual users, thereby enabling secondary purposes while maintaining data protection compliance.
Data Source
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AI summary
The aim of the disclosed method is to measure and analyze the movement of mobile devices utilizing their communication with a telecommunication network. This includes receiving telecommunication control data associated with the mobile devices, which comprise at least a timestamp, a unique identifier of the mobile device and information on the location of the device. The corresponding data is organized (120) in data objects, which group all data sets associated with a single mobile device identifier. The data objects are extended (210, 220) by additional attributes, which can be derived (220) using algorithms that parse the data objects. The objects are thus extended (210, 220) in a way that all information stored in the data objects, i.e. the raw telecommunication control data and the attributes, is available for all subsequent analysis.