Bale Collection Tracking Using Machine Operational Data
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Solution Overview
Problem
Current systems lack the ability to effectively monitor bale collection operations, particularly in challenging environments such as at night or in hilly terrain, where operators may be unfamiliar, leading to difficulties in determining which bales have been collected and which have not.
Innovation Solution
A control system that utilizes operational data from agricultural machines, such as location, speed, and lifting implement states, to determine bale collection events and update a database with corresponding bale identifiers, enabling real-time tracking and future planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated monitoring of bale collection operations is implemented, then productivity and operational efficiency are improved, but device complexity increases
Solution Approach 1:
The control system is designed to perform multiple functions: receiving operational data from various sources (GPS, speed sensors, implement sensors), determining bale collection events through pattern recognition, associating events with bale identifiers, and updating database records. This multi-functional approach consolidates what could be multiple separate systems into a single integrated control system, improving productivity while managing complexity through functional integration.
Solution Approach 2:
The system automatically monitors and tracks bale collection operations without requiring manual intervention. The control system self-activates to receive operational data, autonomously determines when bale collection events occur based on sensor patterns, automatically associates these events with specific bale identifiers from the database, and updates the database records itself. This automation eliminates the need for manual monitoring while maintaining manageable system complexity through standardized automated processes.
2Loss of information
If manual monitoring of bale collection is performed, then device complexity is reduced, but loss of information increases especially in challenging environments
Solution Approach 1:
The control system continuously receives operational data feedback from sensors (GPS location, speed, implement status) and uses this feedback to automatically determine when bale collection events occur. The system processes this ongoing feedback stream to update the database in real-time, ensuring accurate tracking of which bales have been collected and their current status. This automated feedback loop prevents information loss that would occur with manual monitoring, especially in challenging environments where manual observation is difficult.
Solution Approach 2:
The system replaces manual mechanical monitoring methods with automated electronic sensing and data processing. Instead of relying on operators to visually track and record bale collection status (which is prone to error in challenging environments), the system uses electronic sensors to detect operational parameters, automatically processes this data to determine collection events, and electronically updates the database. This substitution of mechanical/manual processes with electronic automation eliminates information loss while managing complexity through standardized electronic systems.
3Reliability
If real-time tracking of bale collection operations is implemented, then reliability of collection status data is improved, but use of energy increases
Solution Approach 1:
The control system continuously receives operational data from sensors and maintains ongoing monitoring of bale collection operations. This continuous operation ensures reliable, real-time tracking of collection status without interruption. The system processes data streams continuously to immediately detect and record bale collection events as they occur, maintaining high reliability of the collected data. The continuous operation is enabled by the vehicle's existing power system, managing energy use through efficient processing rather than intermittent high-power operations.
Solution Approach 2:
The system pre-establishes the database structure with bale identifiers and collection status fields before the collection operation begins. The control system is pre-configured with the logic to recognize bale collection events based on sensor patterns. This preliminary preparation ensures that when collection events occur, the system can immediately and accurately record the data without delay or error, maintaining high reliability. The pre-configured state reduces the computational energy required during actual operation, as the processing logic is already established rather than needing to be created in real-time.
Data Source
AI summary
Systems and methods are provided for monitoring a bale collection operation performed by an agricultural machine in a working environment. Operational data indicative of a working parameter of the agricultural machine is used to determine occurrence of a bale collection operation. The determined bale collection operation is associated with one or more bale identifiers in a database linked to the working environment, and the database is updated to indicate the identification of a collection of a bale corresponding to the respective bale identifier(s) in dependence on the association.