UAS Map Display with Hierarchical Location Clustering
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Solution Overview
Problem
Current systems for monitoring and managing unmanned aircraft systems (UAS) lack an efficient method to display real-time location information and operational data of multiple UAS on a graphical user interface, limiting user visibility and control over UAS operations in their vicinity.
Innovation Solution
A computer-implemented method and system that displays UAS information on a graphical user interface, using a UAS database to overlay icons on a map, allowing users to request additional information on specific UAS, with features like geo-restriction, time-restricted data, and precision dilution for location accuracy, and providing options for reporting non-standard operations and push notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time location data of multiple UAS is displayed on a map interface, then user visibility and control over UAS operations is enhanced, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments UAS location data display by dividing the map interface into multiple hierarchical levels (e.g., regional overview, local detailed view, individual UAS details). This allows comprehensive information display while managing system complexity through modular data presentation structures.
Solution Approach 2:
The graphical user interface serves multiple functions simultaneously: displaying real-time locations, providing operational status, enabling user control, and managing data privacy. This multi-functionality reduces the need for separate systems while enhancing overall visibility and control.
2Measurement precision
If precise location data is provided for all UAS, then monitoring accuracy is improved, but privacy concerns and data security risks increase
Solution Approach 1:
The system applies different privacy protection levels to different users and locations. Sensitive areas receive enhanced privacy protection (e.g., aggregated or anonymized data), while non-sensitive areas maintain full precision. This localized approach balances monitoring accuracy with privacy protection based on contextual needs.
Solution Approach 2:
The system dynamically adjusts location precision parameters based on user preferences, geographic context, and operational requirements. Location data can be displayed at varying levels of granularity (e.g., exact coordinates, generalized areas, or relative positions), allowing precise monitoring where needed while protecting privacy where appropriate.
3Reliability
If comprehensive UAS operational data is collected and displayed, then monitoring effectiveness is improved, but data processing load and energy consumption increase
Solution Approach 1:
The system displays only the necessary subset of UAS operational data required for effective monitoring, rather than processing and displaying all available data. Critical parameters (location, status, operational mode) are prioritized, while less critical data is aggregated or displayed on demand, reducing processing load and energy consumption.
Solution Approach 2:
The system updates and refreshes displayed data at optimized intervals rather than continuously, balancing monitoring effectiveness with energy efficiency. Real-time updates are provided for critical parameters, while less time-sensitive data is updated periodically, reducing overall energy consumption while maintaining reliable monitoring.
Data Source
Figure 1A
Figure 1B~1C
Figure 1D
AI summary
Described herein is a method comprising (a) sending, unmanned aircraft system (UAS) data providing a first UAS location indication on a map on a display of the computing device, wherein the first OAS location indication, comprises an. aggregate indication of a plurality of UASs located within a first area on the map, (b) receiving data comprising a request for additional information related to the first UAS location indication, (c) in response to receiving the request for additional information, sending additional location data related to the plurality of UASs, including a plurality of second UAS location indications at a plurality of locations within the first area on the map, wherein each second UAS indication corresponds to a subset of the plurality of UASs represented by the first UAS location indication, and (d) updating the display of the computing device to show the plurality of second UAS location indications.