Adaptive Detect-and-Avoid Integrity Monitoring for Real-Time Separation

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Solution Overview

Problem

Current detect and avoid (DAA) systems in aviation rely on static models and simulations, failing to provide real-time monitoring and adaptation to environmental conditions and system performance, which is critical for safety in dynamic operational scenarios.

Innovation Solution

An adaptive DAA system that utilizes real-time data from sensors to calculate a minimum detection range and avoid objects, incorporating environmental and external data to dynamically adjust operations and alert systems, with integrity monitoring to ensure safety and performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If static models and simulations are used for detect and avoid systems, then system complexity is reduced and ease of manufacture is improved, but real-time monitoring capability and adaptability to environmental conditions deteriorate

Engineering Contradiction:
Improveease of manufactureVSAvoidadaptability
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patent implements a dynamic model that continuously updates detection range calculations based on real-time environmental conditions, vehicle characteristics, and system performance. The system transitions from static pre-defined parameters to dynamic real-time adaptation, allowing the detect and avoid system to adjust its operational parameters on-the-fly to maintain safety while responding to changing conditions.

Inventive Principle:
Principle #15Dynamics

2Device complexity

If static models are used, then device complexity is reduced, but real-time monitoring and update capability deteriorate

Engineering Contradiction:
Improvedevice complexityVSAvoidreliability
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The system incorporates continuous feedback loops that monitor environmental conditions, sensor performance, and system operational status. This feedback enables real-time updates to the detection range model, ensuring the system maintains reliable collision avoidance capabilities by adapting to changing conditions and system degradation over time.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If extensive simulations are performed to establish static models, then measurement precision is improved, but loss of time and productivity deteriorate

Engineering Contradiction:
Improvemeasurement precisionVSAvoidloss of time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs extensive simulations and model development in advance to establish the foundational detection and avoidance model. This preliminary action creates a robust framework that can then operate efficiently in real-time with minimal computational overhead during actual flight operations, balancing thorough analysis with operational speed.

Inventive Principle:
Principle #10Preliminary action

4Ease of operation

If static detection ranges are used, then ease of operation is improved, but adaptability to changing environmental conditions and system performance deteriorates

Engineering Contradiction:
Improveease of operationVSAvoidadaptability
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system dynamically changes operational parameters including detection range, alert thresholds, and avoidance criteria based on real-time conditions such as environmental factors, vehicle speed, sensor performance, and system latency. This allows the system to maintain ease of automatic operation while adapting to varying operational contexts.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20220365545A1Adaptive detect and avoid system with integrity monitoring
Publication Date: 2022.11.17 THE BOEING CO
  • US20220365545A1 patent drawing
  • US20220365545A1 patent drawing
  • US20220365545A1 patent drawing

AI summary

An apparatus is provided for detecting and avoiding objects in real-time. The apparatus includes a first sensor that collects environmental data and a second sensor that collects external data corresponding to an external object within a detection range from the apparatus. The apparatus further includes a processor that, in real-time, calculates a minimum distance to avoid the external object, based at least in part on the environmental data and the external data, monitors the environmental data and the external data, and controls the apparatus to avoid the external object based on the calculated minimum distance and the monitored environmental data and external data.