Situational Awareness System for UAV Airspace Monitoring
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Solution Overview
Problem
Existing systems for monitoring UAV operations in airspace provide limited information, leading to a false sense of safety due to unrepresented hazards within the airspace.
Innovation Solution
A situational awareness system that combines various sensor data and event data from internal and external sources, including UAVs, radar platforms, and weather services, to generate a comprehensive 3D visual display of airspace, overlayed on a 3D map of the geography.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing monitoring systems are used to track UAV operations, then basic flight tracking is provided, but comprehensive situational awareness is lost due to limited information representation
Solution Approach 1:
The patent combines multiple data sources including sensor data from UAVs, radar platforms, weather services, and flight tracking systems into a unified situational awareness system. This merging of disparate information sources creates a comprehensive 3D visual representation of airspace that overcomes the limitations of individual monitoring systems and provides both complete information representation and reliable safety assurance.
Solution Approach 2:
The system transitions from traditional 2D flight tracking displays to a three-dimensional visual representation of airspace. This dimensional enhancement allows operators to perceive spatial relationships, altitude layers, and hazard positions more accurately, thereby improving both information representation completeness and safety assessment reliability.
2Loss of information
If multiple data sources are integrated to improve situational awareness, then comprehensive airspace monitoring is achieved, but system complexity increases
Solution Approach 1:
The patent introduces a central server as an intermediary that receives, processes, and integrates data from multiple sources including UAVs, radar platforms, weather services, and flight tracking systems. This intermediary architecture manages the complexity of integrating diverse data sources while presenting a unified 3D situational awareness display to operators, thereby achieving complete airspace information without proportionally increasing operational complexity.
Solution Approach 2:
The situational awareness system is designed as a multi-functional platform that simultaneously performs flight tracking, hazard detection, weather monitoring, and 3D visualization. This universal system handles multiple functions through a unified architecture, reducing the complexity that would arise from separate specialized systems while maintaining comprehensive airspace information.
3Device complexity
If traditional 2D displays are used for flight monitoring, then simple visualization is maintained, but spatial awareness and hazard detection capability are reduced
Solution Approach 1:
The patent implements a three-dimensional visual display system that represents airspace, UAV positions, and hazards in 3D space. This dimensional enhancement improves spatial awareness and hazard detection capability by providing operators with intuitive depth perception and spatial relationships, while the underlying software architecture manages the complexity of 3D rendering and data processing.
Data Source
AI summary
Method and systems for situational awareness are disclosed. An example method includes receiving a first set of sensor data from a plurality of internal data sources that describes geospatial locations of objects within an airspace. The method also includes receiving event data from an external data source over a network describing publicly available information affecting the airspace. The method also includes receiving a second set of sensor data from another external data source operated by a user that describes the geospatial location of a user-operated object. The method also includes generating object metadata based on the first and second sets of sensor data and the event data. The method also includes streaming at least a subset of the object metadata to the computing device of the user. The object metadata is processed to generate a real-time three-dimensional rendering of the airspace, including the objects and the user-operated object.