Curated Asset Insights GUI for Data Overload
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Solution Overview
Problem
Existing data analytics platforms fail to present derived insights to users in an effective manner, leading to user overwhelm and inefficient navigation through multiple applications and GUI screens, as they generate a large volume of notifications and require extensive resource usage.
Innovation Solution
A data analytics platform is designed to derive insights related to asset operation and present them via a graphical user interface (GUI) with a curated subset of insights, using user preferences and environmental data to filter and prioritize insights, and group related insights into aggregated views, reducing the need for users to navigate through multiple applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a data analytics platform presents all derived insights as notifications to users, then complete information delivery is achieved, but users become overwhelmed and desensitized to notifications
Solution Approach 1:
The patent extracts only the most relevant insights from the complete set of derived insights and presents them to users through a curated feed. The system filters and prioritizes insights based on user preferences, asset criticality, and insight severity, delivering a manageable subset that maintains information value while preventing user overload.
Solution Approach 2:
The patent implements personalized quality filtering where different users receive different subsets of insights tailored to their specific needs, roles, and preferences. The system adjusts the presentation quality and content based on individual user characteristics, allowing each user to receive optimally filtered information rather than a uniform comprehensive feed.
2Adaptability or versatility
If users navigate through multiple applications and GUI screens to access insight information, then comprehensive access to all functions is possible, but time efficiency and productivity decrease
Solution Approach 1:
The patent merges multiple previously separate functions into a unified insights feed interface. Users can access insight details, asset information, contextual data, and actionable functions all within a single consolidated view, eliminating the need to navigate between multiple applications and screens while maintaining full functional access.
Solution Approach 2:
The patent transforms the traditional multi-screen navigation paradigm into a single-screen information hierarchy. The system organizes comprehensive information in layered dimensions within one interface, allowing users to access different levels of detail and related functions without spatial navigation, effectively adding an informational dimension rather than requiring physical interface movement.
3Reliability
If a data analytics platform analyzes data from a large number of assets across multiple categories, then comprehensive monitoring is achieved, but the volume of derived insights becomes unmanageably large
Solution Approach 1:
The patent applies partial action by selectively processing and presenting only a portion of the total derived insights rather than all insights. The system filters the comprehensive insight set based on relevance criteria, user preferences, and priority levels, delivering a manageable subset that maintains monitoring reliability while reducing output volume to practical levels.
4Loss of information
If users are presented with a large volume of insights and notifications, then complete asset monitoring information is provided, but resource usage increases and usability decreases
Solution Approach 1:
The system extracts and delivers only the essential subset of insights required for effective asset monitoring, filtering out redundant or low-priority information. This extraction approach maintains the critical information needed for reliable monitoring while significantly reducing the computational resources required for data transmission, processing, and user interface rendering.
Data Source
AI summary
A computing system is configured to derive insights related to asset operation and present these insights via a GUI. To these ends, the computing system (a) receives data related to the operation of assets, (b) based on this data, derives a plurality of insights related to the operation of at least a subset of the assets, (c) from the insights, defines a given subset of insights to be presented to a user, (d) defines at least one aggregated insight representative of one or more individual insights in the given subset of insights that are related to a common underlying problem, and (e) causes the user's client station to display a visualization of the given subset of insights including (i) an insights pane that provides a high-level overview of the subset of insights and (ii) a details pane that provides additional details regarding a selected one of the subset of insights.