Cooperative Bird-Deterrent Drones With Dynamic Geofencing
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Solution Overview
Problem
Current bird deterrent systems, including drones, lack effective complex strategies for coordinated pest control and adaptability to environmental changes, leading to reduced efficacy in preventing bird-related accidents near airports and agricultural areas.
Innovation Solution
A system of multiple drones employing complex cooperative strategies, dynamic geofencing, and autonomous maintenance, where drones can adjust flight patterns and deterrence methods based on environmental conditions and pest behavior, and an autonomous maintenance system that ensures drones remain operational by executing necessary repairs or maintenance actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple deterrent strategies are used, then device complexity is reduced, but bird deterrence effectiveness deteriorates because birds can quickly adapt
Solution Approach 1:
The patent implements dynamic deterrent strategies where multiple drones execute coordinated flight patterns that continuously change over time. The system transitions from static, predictable deterrent methods to dynamic, adaptive patterns that respond to bird behavior, preventing adaptation and maintaining effectiveness
Solution Approach 2:
The system incorporates feedback mechanisms where bird responses to deterrent actions are monitored and used to adjust subsequent drone behaviors. This closed-loop control allows the system to adapt to bird reactions in real-time, maintaining deterrence effectiveness against adaptive pest populations
2Device complexity
If multiple drones work independently, then device complexity is reduced, but deterrence effectiveness deteriorates due to lack of coordination
Solution Approach 1:
The patent merges multiple independent drone systems into a coordinated fleet that operates as a unified deterrent unit. By combining multiple drones with complementary flight patterns and deterrent capabilities, the system creates a more effective and reliable pest deterrent than individual drones could achieve alone
3Device complexity
If drones operate without maintenance monitoring, then device complexity is reduced, but operational reliability deteriorates due to unexpected failures
Solution Approach 1:
The patent implements self-service maintenance capabilities where drones autonomously monitor their own operational status, detect degradation, and execute maintenance actions without external intervention. This includes self-diagnosis, self-repair, and autonomous return to maintenance facilities, ensuring continuous operational reliability
Data Source
AI summary
Systems and methods for effectively repelling pest animals (e.g., birds), including drones that adopt complex deterrent strategies (e.g., cooperative strategies), establishing a fuzzy boundary for a geofenced area and altering pest deterrent device flight patterns based on the characteristics of the fuzzy boundaries. Deterrence strategies can be selected based on the type of pest animals, and new deterrence strategies can be generated based on outcome feedback from previous strategies (e.g., combining aspects of preexisting deterrence strategies by utilizing an AI system). Drones can be automatically maintained by comparing current drone operational status with a predetermined threshold level. A maintenance robot (e.g., a drone) can autonomously rescues a working robot (e.g., another drone) that is in trouble.