Remote Device Data Scoring Engine with Aggregation Gateway
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Solution Overview
Problem
Existing data mining and statistical scoring systems are unable to process raw data from randomly reporting remote devices and score it based on user-defined models, failing to address unique issues arising from such data sources.
Innovation Solution
A data aggregation and analytical scoring system that includes a gateway to collect and parse data from remote devices, a device history data model to store and condition the data, and a scoring engine to produce metrics, with a notification policy for user alerts, using a pipeline approach to efficiently process data as it arrives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing data mining and statistical scoring systems are used to process data, then general-purpose statistical analysis can be provided, but they are unable to process raw data from randomly reporting remote devices or to score data from these sources based on user-defined models
Solution Approach 1:
The patent introduces a specialized intermediary component (remote device data processor) that acts as a bridge between existing general-purpose statistical systems and raw remote device data. This processor handles the unique challenges of remote device data (random reporting, unprocessed format) and transforms it into a form suitable for existing scoring models, thereby enabling adaptability without requiring complete system redesign
Solution Approach 2:
The system is divided into distinct functional modules: a data collection component that receives raw data from remote devices, a data processing component that handles conditioning and validation, and an existing scoring engine that applies user-defined models. This segmentation allows each component to specialize in specific tasks, improving overall adaptability while maintaining manageable complexity through clear separation of concerns
2Quantity of substance
If raw data from randomly reporting remote devices is collected, then comprehensive data coverage is achieved, but data conditioning and processing complexity increases
Solution Approach 1:
The system performs preliminary data conditioning and validation operations as data arrives from remote devices, before the data is passed to the scoring engine. This includes formatting raw data into standardized structures, validating data quality, and preparing data in advance. By performing these actions preliminarily, the system handles large data volumes efficiently without overwhelming the scoring processing stage
Solution Approach 2:
The patent extracts and isolates the data conditioning and processing functions into a separate component that handles raw remote device data independently. This extracted processing layer filters, validates, and conditions data before passing only the necessary processed information to the scoring engine, thereby reducing the complexity burden on the main scoring system while maintaining comprehensive data processing capabilities
Data Source
AI summary
A system for data aggregation and analytical scoring is described that includes a gateway operable to aggregate data received from multiple remote devices, and a device history data model storing properties for each of the multiple remote devices and storing the data received from each remote device. A scoring engine in the system acts to aggregate and analyze the data stored in the device history data model and to produce a metric based on the data. The system also includes a notification policy to conditionally notify a user based on the metric produced by the scoring engine.