Tracking Data Cataloging by Asset Identifier for Anomaly Detection
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Solution Overview
Problem
The increasing volume and diversity of tracking data from various sources make it difficult to manage and visualize accurately, leading to erroneous and contradictory data points.
Innovation Solution
A network-based data audit system that retrieves, catalogs, and visualizes tracking data, identifies patterns, and distinguishes anomalous data points by linking data to asset identifiers, generating graphical interfaces, and using statistical analysis to highlight deviations from established patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If diverse tracking tools are used to track increasing numbers of assets, then tracking coverage and capability are improved, but data management complexity and visualization difficulty increase
Solution Approach 1:
The system segments tracking data by associating it with specific asset identifiers, dividing the large volume of diverse tracking data into manageable units that can be individually processed and visualized. Each data point is linked to a specific asset, allowing the system to handle diverse tracking tools through a unified segmented approach.
Solution Approach 2:
The patent introduces an intermediary data processing layer that sits between diverse tracking tools and the visualization interface. This intermediary layer standardizes and manages the diverse data streams, converting them into a unified format that can be effectively visualized, thereby reducing the complexity impact of using multiple tracking tools.
2Adaptability or versatility
If diverse tracking tools are deployed to monitor more assets, then tracking capability is improved, but data accuracy and reliability deteriorate due to erroneous and contradictory data points
Solution Approach 1:
The system implements feedback mechanisms that analyze tracking data for consistency and accuracy. By continuously monitoring data quality and providing feedback on erroneous or contradictory data points, the system can identify and correct issues, thereby maintaining data reliability even when using diverse tracking tools across multiple assets.
3Quantity of substance
If the volume of tracking data increases to cover more assets, then comprehensive monitoring is improved, but data visualization and management become problematic
Solution Approach 1:
The patent applies dimensionality change by organizing tracking data in a multi-dimensional structure where data points are associated with asset identifiers. This creates an additional organizational dimension that allows the system to manage large volumes of tracking data effectively, enabling comprehensive monitoring while maintaining ease of visualization through structured data organization.
Data Source
AI summary
Aspects of the present disclosure involve a data audit system to generate and cause display of a tracking interface at a client device, wherein the tracking interface is configured to facilitate the visualization of tracking data retrieved from multiple sources. The audit system is configured to access a data source to retrieve tracking data that includes an associated asset identifier that identifies a subject of the tracking data, to link the retrieved tracking data to a data object at a database of the audit system based on the asset identifier, and to generate and cause display of a visualization of the tracking data within a tracking interface.