Augmentative Drone Control via Geographic Zone Enforcement
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Solution Overview
Problem
Current systems for controlling unmanned vehicles, such as drones, lack effective mechanisms to ensure safe operation and compliance with geographic restrictions, leading to potential safety hazards and privacy concerns, as they often require line-of-sight operation and registration, which are inadequate for enforcing rules in dynamic environments.
Innovation Solution
The implementation of a method and system that monitors drone location information and compares it to authorized zones, allowing for augmentative control to override or alter drone operations if a violation is detected, using a processor and memory to execute instructions for flight management and zone compliance, and utilizing a network for secure zone declarations and digital signatures to define and enforce airspace restrictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If drones operate without augmentative control mechanisms, then ease of operation is improved, but safety and compliance with geographic restrictions deteriorate
Solution Approach 1:
A geographic information system (GIS) based augmentative control system acts as an intermediary between the drone operator and the drone itself. The system monitors drone location, compares it against authorized zones stored in a database, and automatically sends control commands to alter drone operation when violations are detected, thereby ensuring safety and compliance without requiring constant operator attention
Solution Approach 2:
The system continuously monitors drone location information and provides feedback by comparing actual positions against authorized zones. When a violation is detected, the system sends automatic control commands to the drone to alter its operation, creating a closed-loop feedback mechanism that ensures ongoing compliance with geographic restrictions
2Reliability
If line-of-sight operation requirements are enforced, then safety control is improved, but operational flexibility and productivity deteriorate
Solution Approach 1:
The drone system performs self-service by automatically monitoring its own location, comparing it against authorized zones, and executing corrective maneuvers when violations are detected. This autonomous self-monitoring and self-correction capability eliminates the need for continuous operator supervision, thereby maintaining safety control while significantly improving operational flexibility and productivity
3Loss of information
If registration and identification systems are implemented, then traceability is improved, but enforcement capability deteriorates when operators are unknown
Solution Approach 1:
The system takes preliminary anti-action by implementing preemptive geographic restrictions and automatic control measures before violations can occur. By defining authorized zones in advance and automatically enforcing boundaries through augmentative control, the system prevents unauthorized operations rather than relying solely on post-violation enforcement, thereby addressing the limitation of unknown operators
Data Source
AI summary
A method may include monitoring location information associated with a drone. The method may also include comparing the location information with an authorized zone. The method may also include, based on the comparison, determining a violation by the drone of a rule associated with the authorized zone. The method may include, in response to the violation, augmenting control of the drone to alter operation of the drone. The location information may include at least one of a current or predicted future location of the drone.