Drone Task Schedule Integration for Agricultural Efficiency
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Solution Overview
Problem
The efficiency of tasks performed using unmanned flight vehicles in agriculture, such as drones, is hindered when each farmer owns a separate vehicle, leading to suboptimal scheduling and resource utilization.
Innovation Solution
A management apparatus and system that integrates schedules of multiple tasks for a shared flight vehicle based on conditions such as task type, date, location, and weather, allowing for optimized scheduling and operator allocation, while offering benefits to task managers for schedule changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each farmer owns a separate flight vehicle, then individual task execution is ensured, but overall task efficiency deteriorates due to suboptimal scheduling and resource utilization
Solution Approach 1:
Multiple flight vehicles and their schedules are merged into a unified shared resource system. The management apparatus integrates schedules from multiple farmers/tasks into a coordinated plan, allowing the flight vehicle to perform multiple tasks sequentially across different locations and time periods, thereby improving overall productivity while maintaining reliable task execution through centralized management
2Productivity
If a shared flight vehicle is used for multiple tasks, then resource utilization improves, but scheduling complexity increases
Solution Approach 1:
The management apparatus automatically performs schedule integration without requiring manual coordination between farmers. The system self-manages the complexity by autonomously analyzing task requirements, integrating compatible schedules, and generating optimized task sequences, thereby maintaining high resource utilization while avoiding the burden of manual scheduling complexity
Solution Approach 2:
Manual scheduling mechanisms are replaced with an automated information processing system. The management apparatus uses computational algorithms to integrate schedules based on task types, locations, and time periods, substituting the complex manual coordination process with an automated digital system that handles scheduling complexity efficiently
3Measurement precision
If schedules are integrated based on strict integration conditions, then task coordination accuracy improves, but the number of integrable tasks decreases
Solution Approach 1:
The integration conditions are applied dynamically rather than rigidly. The management apparatus evaluates each task against the integration conditions (same task type, location within predetermined distance range, time within predetermined period) and flexibly integrates tasks that meet the criteria while leaving others separate, thereby achieving accurate coordination for integrable tasks while maximizing the number of tasks that can be combined
Data Source
AI summary
A management system includes a storage unit that stores schedule information that indicates schedules of a plurality of tasks to be performed by the same flight vehicle. The schedule information includes types of the plurality of tasks, date/times of the plurality of tasks, and locations at which the plurality of tasks are to be performed. When the types, the date/times, and the locations that are included in the schedule information stored in the storage unit satisfy an integration condition, an integration unit integrates the schedules of the plurality of tasks. An output unit outputs integrated schedule information indicating the schedules of the integrated tasks.