Adaptive HUMS Data Filtering via Dynamic Query Interface
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Solution Overview
Problem
Current systems for filtering Health and Usage Monitoring System (HUMS) data lack flexibility and efficiency in accessing and displaying vehicle data from sensors, as they are often constrained by predefined structures and hierarchies, limiting user interaction and data retrieval capabilities.
Innovation Solution
A system comprising a data module, display module, and query module that allows interactive filtering of HUMS data through an adaptive list of filter statements, enabling dynamic updates of filter types and options based on user selections, allowing for tailored and scalable data access and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predefined filter structures and hierarchies are used in current HUMS data filtering systems, then system structure is simplified and easier to implement, but user interaction flexibility and data retrieval capabilities are limited
Solution Approach 1:
The filter statement list dynamically updates based on user selections. When a user selects a filter statement, the system automatically updates the list to show only relevant filter types for that specific selection, transforming a static predefined structure into a dynamic adaptive interface that responds to user actions in real-time
Solution Approach 2:
The system pre-presents a list of filter statements that represent common filtering needs. Users can directly select from these pre-defined filter statements without having to manually construct complex queries, which simplifies the initial interaction while still allowing for dynamic refinement of the filter options based on their selection
2Productivity
If multiple separate queries are required to access different vehicle data, then comprehensive data can be retrieved, but time consumption and operational efficiency increase
Solution Approach 1:
The system combines multiple filter criteria into a single integrated filtering operation. Instead of requiring separate queries for different vehicle data parameters, the unified filter system allows users to apply multiple filter statements simultaneously, merging what would otherwise be multiple discrete data retrieval operations into one efficient query
3Adaptability or versatility
If fixed filter options are provided in the system, then implementation is simpler, but adaptability to different data access needs is reduced
Solution Approach 1:
The filter type list dynamically adapts its content based on the user's selected filter statement. The system automatically updates the available filter options to match the context of the selection, providing adaptability to different data access needs while maintaining a relatively simple underlying structure that only displays relevant options at each step
Data Source
AI summary
A system for filtering data according to an exemplary aspect of the present disclosure includes, among other things, a data module configured to access vehicle data in a database according to a query input, a display module configured to display the vehicle data in an environment, and a query module configured to generate the query input according to an interactive list of filter statements. Each filter statement in the interactive list of filter statements is selectable from a group of filter types. The group of filter types is configured to dynamically update in response to at least one selection from the group of filter types. A method of filtering data is also disclosed.