Interactive Data Aggregation Interface for Entity Monitoring
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Solution Overview
Problem
Managing large numbers of entities, such as manufacturing machines or oil wells, becomes overwhelming for users due to the sheer volume of data, making it difficult to identify potential issues and focus analysis on important areas.
Innovation Solution
A computer system that collects, aggregates, and stores entity data, generating interactive user interfaces to analyze entity performance, categorize entities into groups, and generate alerts for non-operational entities, allowing users to drill down for detailed analysis and efficiently review entity status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of entities being managed is large, then the comprehensive monitoring capability is improved, but the ease of operation deteriorates due to difficulty in making sense of presented information
Solution Approach 1:
The patent segments entities into groups based on shared characteristics or attributes, allowing users to manage and monitor large numbers of entities by organizing them into manageable categories. This segmentation reduces the cognitive load on users while maintaining comprehensive monitoring capability across all entities.
Solution Approach 2:
The patent introduces an intermediary layer between the user and individual entities by presenting aggregated data at the group level. This intermediary aggregation layer summarizes entity information in a digestible format, making it easier for users to understand system state without needing to examine each individual entity.
2Measurement precision
If detailed information about each entity is presented, then the measurement precision is improved, but the ease of operation deteriorates due to information overload
Solution Approach 1:
The patent segments information presentation into hierarchical levels: group-level summaries for overview and entity-level details for deep analysis. Users can access detailed information only when needed, reducing information overload while maintaining measurement precision for individual entities.
Solution Approach 2:
The patent implements dynamic information disclosure where the level of detail presented adapts to user needs. The system can transition between aggregated views and detailed entity views on demand, allowing users to control the amount of information displayed and avoiding unnecessary information overload.
3Productivity
If all entity data is collected and stored, then the productivity of analysis is improved, but the device complexity increases
Solution Approach 1:
The patent extracts and stores only the necessary attributes and aggregated data rather than all raw entity data. By selecting and storing only relevant information at appropriate levels of aggregation, the system reduces storage requirements and data processing complexity while maintaining analysis productivity.
Solution Approach 2:
The patent performs preliminary aggregation and categorization of entity data before it needs to be analyzed. By pre-processing and organizing data into groups with summarized attributes, the system reduces the complexity of subsequent analysis operations and improves query performance.
Data Source
AI summary
Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.