Agricultural Fleet Coordination Platform for Real-Time Path Tracking
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Solution Overview
Problem
Agricultural operations face inefficiencies due to lack of coordination between operators, inaccurate tracking of vehicle movements, and difficulties in determining operational progress, leading to suboptimal yields and increased costs.
Innovation Solution
A computer-based agricultural operation management platform that utilizes GPS, sensor data, and network communication to track vehicle locations, determine operational status, and coordinate equipment assets, enabling real-time monitoring and optimization of agricultural operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional farming operations are used without centralized coordination, then operational flexibility is maintained, but coordination efficiency and productivity decrease
Solution Approach 1:
The patent combines multiple agricultural vehicles and operators into a single coordinated fleet managed by a central server. The server aggregates data from all vehicles and issues unified dispatch instructions, merging previously independent operations into a coordinated system that improves overall productivity while managing complexity through centralized control.
Solution Approach 2:
The server system performs multiple functions: it tracks vehicle locations, monitors operational status, determines work progress, and issues dispatch instructions. This multi-functional approach consolidates what would otherwise require separate systems into a single universal platform, improving productivity without proportionally increasing complexity.
2Measurement precision
If manual tracking of vehicle locations is used, then system simplicity is maintained, but measurement precision and operational monitoring accuracy decrease
Solution Approach 1:
The patent replaces manual tracking methods with automated GPS-based electronic tracking. Vehicles are equipped with GPS receivers that automatically transmit location data to the server, substituting mechanical/manual observation with electronic automation. This achieves high measurement precision while keeping the system relatively simple through standardized technological components.
3Reliability
If frequent communication between server and vehicles is implemented, then real-time monitoring accuracy is improved, but energy consumption and operational costs increase
Solution Approach 1:
The system implements periodic communication where vehicles transmit status information at regular intervals rather than continuously. The server requests updates at scheduled times and processes batches of data, maintaining reliable real-time monitoring while reducing energy consumption compared to continuous communication protocols.
Data Source
AI summary
The present disclosure describes computer systems and computer-implemented methods for managing an agricultural operation. Vehicle location information for at least one agricultural vehicle is received, and the vehicle location information is used to determine a vehicle path. Vehicle state information is received from the vehicle and is used to determine whether the vehicle is in a working or non-working state. The vehicle path is then rendered on a map display, with the map display visually distinguishing between sections of the vehicle path traversed while the vehicle is in the working state and sections of the vehicle path traversed while the vehicle is in the non-working state.