Agricultural Work Unit Coordination via Situation Pattern Recognition
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Solution Overview
Problem
The existing agricultural work systems face challenges in optimizing agricultural work processes due to the numerous variants of cooperation between agricultural work units and attachments, especially with tractors, leading to unsatisfactory results under varying environmental conditions.
Innovation Solution
A central pattern recognition system is introduced that identifies specific work situations and communicates meta-information to all connected functional units, allowing them to coordinate their interactions based on the received information, enabling optimized cooperation among agricultural work units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a decentralized control system with predefined rules is used for each functional unit, then the system structure remains simple and easy to operate, but the system cannot achieve satisfactory optimization results under varying environmental conditions and diverse work situations
Solution Approach 1:
A central pattern recognition system is introduced as an intermediary between the decentralized functional units and the optimization goal. This central system receives data from all functional units, identifies work situations using pattern recognition, and coordinates their interaction, thereby enabling process optimization without requiring complex control logic in each individual functional unit
Solution Approach 2:
The system is segmented into a central pattern recognition system and multiple decentralized functional units. The central system handles the complex task of situation identification and coordination, while functional units maintain their simple predefined control rules. This segmentation allows the system to achieve optimization capabilities without compromising the simplicity of individual components
2Productivity
If the pattern recognition system communicates with all functional units, then coordination and efficiency are enhanced, but the device complexity and data management burden increase
Solution Approach 1:
The central pattern recognition system serves multiple functions: it receives data from all functional units, identifies work situations through pattern recognition, determines appropriate interactions, and communicates coordination instructions back to functional units. This multi-functionality consolidates complexity into a single universal system rather than distributing it across multiple specialized components
3Ease of manufacture
If predefined rule sets are used in each functional unit, then the system is easy to implement and maintain, but it cannot adapt sufficiently to diverse environmental conditions and work situations
Solution Approach 1:
The system combines static predefined rules in functional units with dynamic pattern recognition in the central system. The pattern recognition system dynamically adapts to varying environmental conditions and work situations by identifying patterns in real-time data, while functional units execute their simple predefined rules based on coordination instructions from the central system
Data Source
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AI summary
The invention relates to an agricultural work system for optimizing agricultural work processes with at least one agricultural work unit (2, 3), in particular an agricultural work machine and/or a stationary agricultural facility, wherein the agricultural work system (1) comprises several functional units (11, 12) for carrying out or supporting agricultural work, each of which has a control device (13) for controlling the respective functional unit (11, 12) based on a stored set of rules (14). It is proposed that the agricultural work system (1) comprises a central pattern recognition system (19) configured such that at least one agricultural work situation is stored in the pattern recognition system (19) as a situation pattern (20a, 20b, 20c).The pattern recognition system (19) can be provided with work situation-specific information (I), the pattern recognition system (19) identifies a stored work situation and the associated situation pattern (20a, 20b, 20c) based on the received work situation-specific information (I) and transmits meta-information (M) characterizing the identified work situation to the functional units (11, 12), and the pattern recognition system (19) and/or the control devices (13) of the multiple functional units (11, 12) is/are configured to coordinate the interaction of those functional units (11, 12) that cooperate in the identified work situation based on the meta-information (M), so that the control devices (13) make corresponding parameter settings of the associated functional unit (11, 12).