Urban Airspace Wind Shear Detection Using 3D Building Data
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Solution Overview
Problem
Urban air mobility vehicles face challenges in navigating urban airspace due to the lack of wind shear detection systems, which can lead to unsafe flight conditions caused by wind shear variations near buildings and other structures.
Innovation Solution
A system and method for detecting wind shear conditions in urban airspace using wind speed and direction sensors, aircraft information, and three-dimensional building data, which determines real-time flight safety parameters and transmits alerts to operators to modify flight paths and avoid unsafe conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wind shear detection systems are deployed in urban airspace, then flight safety is improved, but system complexity and cost increase
Solution Approach 1:
The patent combines multiple detection functions into a single integrated system. The wind shear detection system integrates wind speed sensors, direction sensors, and building information processing into one unified platform that provides comprehensive urban airspace monitoring, thereby improving flight safety without proportionally increasing system complexity
Solution Approach 2:
The detection system is designed to serve multiple functions: detecting wind shear conditions, monitoring general wind patterns, and providing navigation assistance to UAM vehicles. This multi-functionality allows the system to improve overall flight safety while justifying the complexity through broader utility
2Measurement precision
If multiple wind speed and direction sensors are deployed throughout urban airspace, then wind shear detection accuracy is improved, but infrastructure complexity and cost increase
Solution Approach 1:
The urban airspace is divided into multiple monitoring zones, each equipped with sensors. This segmentation allows the system to achieve high measurement precision in detecting wind shear conditions by having distributed measurement points, while the modular zone-based structure helps manage infrastructure complexity through organized deployment
Solution Approach 2:
The system implements targeted sensor deployment in specific urban zones where wind shear conditions are most likely to occur, such as areas with tall buildings or complex terrain. This local quality approach concentrates measurement resources where they provide the most value, improving detection accuracy without requiring uniform coverage everywhere
3Reliability
If real-time wind shear data is processed and transmitted to aircraft, then flight safety is improved, but data processing requirements and communication demands increase
Solution Approach 1:
The system pre-processes building information and establishes baseline wind patterns before actual flight operations. This preliminary action allows the real-time data processing during flight to focus only on detecting deviations from established patterns, thereby improving flight safety responses while reducing the energy required for continuous full-scale processing
Solution Approach 2:
The system extracts only the critical wind shear parameters and safety-relevant data from the full sensor dataset for transmission to aircraft. This extraction approach ensures flight safety by providing essential information while minimizing data processing energy consumption and communication bandwidth requirements
Data Source
AI summary
Disclosed are methods, systems, and non-transitory computer-readable media for detecting wind shear conditions in an urban airspace. For instance, the method may include obtaining aircraft information related to an aircraft in the urban airspace, accessing three-dimensional building information corresponding to the airspace, obtaining wind speed and direction data from a plurality of sensors provided about the airspace, and detecting wind shear conditions in at least a portion of the airspace based on the obtained wind speed and direction data. The method may further include determining real-time flight safety parameters in the portion of the airspace based on the wind shear conditions detected in at least the portion of the airspace, analyzing the determined real-time flight safety parameters along a designated flight path through the portion of the airspace to determine whether an unsafe flight condition exists, and transmitting the analysis to the aircraft or a remote operating station.