Agricultural Machine Documentation via GPS Movement Pattern Analysis
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Solution Overview
Problem
Current documentation systems for agricultural machines require manual data entry, which is time-consuming and prone to errors, and often require additional work to obtain and merge data from various sources, limiting their automation potential.
Innovation Solution
A method that uses a location determination system, such as a mobile phone with GPS, to record and analyze movement traces, employing artificial intelligence and machine learning algorithms to deduce the type of work performed, thereby automating the creation of documentation by deriving movement patterns and assigning location points to specific fields or road trips, and exporting this data for use in farm management systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual data entry is used in documentation systems, then data can be recorded, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system automatically performs documentation tasks by itself. The location determination system records movement traces, the data processing device automatically analyzes GPS data to derive movement patterns and work types, and generates documentation bookings without human intervention. This self-service approach eliminates manual data entry while ensuring high accuracy through automated analysis algorithms.
2Measurement precision
If additional data sources are integrated to improve documentation precision, then work data can be obtained more accurately, but additional work is required to obtain and merge the data
Solution Approach 1:
The location determination system serves multiple functions: it records movement traces, provides GPS position data, generates time stamps, and supports both field work documentation and road travel tracking. The data processing device performs multiple tasks including analyzing movement patterns, classifying work types, identifying field boundaries, and generating documentation. This multi-functionality reduces the need for separate specialized systems while maintaining high precision.
Solution Approach 2:
The patent combines location determination, movement trace recording, data analysis, and documentation generation into a single integrated system. The data processing device merges GPS data, time information, and movement patterns into unified documentation bookings. This consolidation eliminates the need for separate data collection and merging processes from multiple independent systems.
3Extent of automation
If automated documentation systems are implemented, then manual work is reduced, but the system requires access to multiple data sources which increases complexity
Solution Approach 1:
The automated system serves itself by using its own location determination capabilities to generate all necessary data for documentation. The system automatically records its movement traces, analyzes its own GPS data, derives movement patterns, and generates documentation bookings without requiring external data sources or manual intervention. This self-sufficiency maintains high automation while minimizing system complexity.
Data Source
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AI summary
The present invention relates to the automatic creation of documentation (18), wherein the documentation (18) documents the work of an agricultural machine (1), wherein a location determination system (3) records a movement track (7) of the machine (1) during the performance of the work, and at least position data (9) and a timestamp (10) assigned to the respective position data (9) are available for generating the movement track (7), and wherein the movement track (7) is analyzed, wherein a movement pattern (26) of the agricultural machine (1) is derived by means of the data analysis (17), and the type of work (28) of the agricultural machine (1) is inferred from the movement pattern (26).