Drone Operating Parameter Management for Dynamic Environment Adaptation
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Solution Overview
Problem
The challenge lies in managing drones to operate safely and efficiently in dynamic environments where conditions such as weather, traffic, and drone congestion may pose risks, requiring adaptive changes to their operational parameters in real-time to ensure successful task completion and safety.
Innovation Solution
A method and system that utilize processors to detect conditions in real-time and adjust drone operating parameters, such as altitude, speed, and drop-off points, to ensure safe and efficient operation, allowing for dynamic modification of drone operations based on current conditions, even after scheduling, to prevent collisions, weather-related hazards, and security concerns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drones operate in completely unrestricted manner, then productivity and task completion efficiency are improved, but safety and risk management deteriorate due to weather conditions, traffic congestion, and drone collisions
Solution Approach 1:
The patent implements dynamic adjustment of drone operating parameters (altitude, speed, route) in real-time based on changing environmental conditions. The system continuously monitors weather, traffic, and drone locations, then dynamically modifies flight parameters to maintain both high productivity and safety, rather than using static predetermined routes and speeds.
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where drone operating conditions are continuously monitored and fed back to the management system. This feedback enables real-time detection of hazardous conditions (weather changes, congestion, proximity to other drones) and automatic adjustment of operating parameters to resolve the contradiction between unrestricted operation and safety management.
2Ease of operation
If predetermined operating parameters are used for drones, then ease of operation is improved, but adaptability to changing environmental conditions deteriorates
Solution Approach 1:
The patent enables drones to automatically adjust their own operating parameters in response to detected environmental conditions without requiring constant human intervention. The system autonomously monitors conditions and modifies altitude, speed, and route based on predefined safety criteria, making the drone self-adapting while maintaining ease of operation through automated decision-making.
Solution Approach 2:
The system transitions from static predetermined parameters to dynamic adaptive parameters that automatically adjust to changing conditions. This allows the drone to maintain simple operation through automation while gaining versatility in responding to weather changes, traffic conditions, and other environmental factors.
3Reliability
If drone operating parameters are dynamically adjusted in real-time, then safety and risk management are improved, but device complexity and control system requirements worsen
Solution Approach 1:
The patent divides the complex control system into modular functional components: environmental monitoring modules, parameter detection modules, analysis modules, and execution modules. Each module performs a specific function (monitoring weather, detecting drone locations, analyzing conditions, adjusting parameters), which reduces overall system complexity through functional segmentation while maintaining comprehensive safety management.
Solution Approach 2:
The system employs universal monitoring and control mechanisms that handle multiple types of conditions (weather, traffic, drone proximity) through a single integrated platform. This multi-functional approach reduces complexity by consolidating what could be separate specialized systems into one unified control architecture that manages all safety-critical functions.
4Speed
If unrestricted drone operation is allowed, then speed and response time are improved, but harmful factors and collision risks worsen due to weather, traffic, and security concerns
Solution Approach 1:
The system performs preliminary detection and assessment of potential hazards (weather conditions, traffic patterns, other drone locations) before the drone executes its mission. By proactively identifying risky conditions in advance, the system can pre-adjust operating parameters or alert operators, enabling fast response while preventing collisions and weather-related incidents before they occur.
Solution Approach 2:
The patent implements continuous real-time feedback monitoring of drone positions, environmental conditions, and traffic patterns. This ongoing feedback loop enables the system to detect emerging hazards quickly and immediately adjust operating parameters to maintain high speed operation while avoiding collisions and other harmful interactions with weather, traffic, and other drones.
Data Source
AI summary
Embodiments for managing drones by one or more processors are described. A condition related to the operation of a drone in a selected area is detected. A set of drone operating parameters associated with the operation of the drone in the selected area is changed based on the detecting of the condition. A signal representative of the changing of the set of drone operating parameters is generated.