Agricultural Vehicle Path Tracking for Working State Mapping
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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 system integrated with agricultural equipment, comprising a vehicle-associated device and a server system, uses sensors and communication channels to monitor and manage vehicle operations in real-time, providing accurate tracking and dispatch instructions, and utilizing data smoothing techniques to enhance path rendering and asset utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If basic GPS tracking is used to monitor vehicle location, then vehicle position data can be obtained, but the tracking accuracy is insufficient to accurately characterize tractor movements and determine operational progress
Solution Approach 1:
The tracking system is segmented into multiple independent components: GPS receiver for location data, accelerometer for motion detection, and processor for data fusion. Each component performs a specific function, and their combined output achieves high tracking accuracy without requiring a single complex system
Solution Approach 2:
The accelerometer acts as an intermediary device that bridges the gap between basic GPS tracking and accurate operational monitoring. It provides additional motion data that compensates for GPS inaccuracies, enabling precise determination of working vs. non-working states without directly enhancing the GPS receiver itself
2Loss of information
If vehicle movement tracking is implemented without operational status differentiation, then all movements are recorded, but it becomes impossible to accurately determine actual work progress and operational efficiency
Solution Approach 1:
The system performs preliminary classification of vehicle movements into working and non-working states using accelerometer data before final operational analysis. This preliminary differentiation occurs at the data collection stage, ensuring that only relevant operational information is retained for progress tracking
Solution Approach 2:
The system dynamically adjusts the interpretation of GPS data based on real-time accelerometer readings. When acceleration patterns indicate working operations, GPS movements are counted as productive; when patterns indicate transport or idle movement, they are excluded from operational progress calculations
3Productivity
If real-time monitoring of all agricultural operations is implemented, then coordination between operators and assets can be improved, but fuel and operator time are wasted on excessive monitoring and data transmission
Solution Approach 1:
The system applies partial monitoring by selectively tracking only vehicles and operations that are actively working. Rather than continuously monitoring all assets regardless of state, the system activates detailed tracking only when working operations are detected, reducing unnecessary data transmission and energy consumption
Solution Approach 2:
The system provides feedback to operators and dispatchers about actual working progress and asset utilization. This feedback enables dynamic adjustment of operational plans, allowing assets to be reallocated efficiently and avoiding wasted fuel and time by preventing unnecessary movements or idle operations
Data Source
AI summary
The present disclosure describes computer systems and computer-implemented methods for use in 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.