Unmanned Vehicle Mission Reassignment Under Operator Overload
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Unmanned vehicles (UVs) can be poorly managed by operators due to overloading, communication failures, or information overload, leading to decreased performance and inefficiencies in mission execution.
Innovation Solution
A system and method for automatically defining mission parameters, assigning missions to operators based on availability and capacity, and reassigning missions without human intervention, while filtering irrelevant information and managing UV operations remotely to enhance efficiency and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operators manually manage multiple missions, then flexibility and human judgment are maintained, but operator performance decreases due to overloading and information overload
Solution Approach 1:
The system enables self-service by implementing automatic mission assignment and reassignment functionality that operates without human intervention. The processor automatically assigns missions to operators based on availability and capacity, and automatically reassigns missions when operators cannot perform them, eliminating the need for manual management and reducing operator workload.
Solution Approach 2:
The patent replaces the mechanical system of manual operator management with an automated computational system. The processor-based automatic assignment and reassignment mechanisms substitute human decision-making processes, transforming manual operational control into an automated information processing system that handles mission allocation efficiently.
2Loss of information
If all mission information is provided to operators, then complete information availability is achieved, but operator performance decreases due to information overload
Solution Approach 1:
The system extracts and filters only the necessary information for mission execution, separating relevant operational data from unnecessary information. By providing operators with filtered, task-specific information rather than all available data, the system maintains complete information availability for the system while preventing operator information overload.
3Productivity
If automatic mission assignment is implemented, then operational efficiency is improved, but system complexity increases
Solution Approach 1:
The system implements multi-functionality by combining mission assignment, mission reassignment, operator availability tracking, and capacity management into a single integrated processor-based platform. This universal system handles multiple mission management functions simultaneously, improving operational efficiency while consolidating complexity into a unified architecture rather than requiring separate systems for each function.
Data Source
AI summary
A mission management compute device is configured to assign each mission from a plurality of missions to an operator from a plurality of operators. Each operator from the plurality of operators is uniquely associated with at least two unmanned vehicles from a plurality of unmanned vehicles. A plurality of ground control compute devices is operatively coupled to the mission management compute device. Each ground control compute device from the plurality of ground control compute devices is uniquely associated with an operator from the plurality of operators and the at least two unmanned vehicles uniquely associated with that operator. The mission management compute device is configured to automatically determine that an operator from the plurality of operators cannot perform a mission from the at least two missions associated with that operator and automatically reassign the mission that cannot be performed by the operator in response.