Harvester Process Model Adaptation via Remote Feedback
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Solution Overview
Problem
Existing methods for adapting process models for agricultural working machines, such as harvesting machines, are inefficient under unknown conditions or with unpracticed users, leading to suboptimal performance and the need for frequent local optimizations.
Innovation Solution
A method for adapting process models on an EDP device using machine data sets from multiple working machines, allowing for remote optimization based on sensor data and operator feedback, enabling the generation of control commands to improve agricultural work results across different locations without requiring local adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a simple process model is adapted locally based on user inputs, then the working machine can be optimized at the usage location, but the harvesting performance deteriorates with unpracticed users and the model cannot function optimally under unknown harvesting conditions
Solution Approach 1:
The patent implements a feedback mechanism where sensor data from the working machine is transmitted to a remote server, which evaluates the harvesting results and provides feedback to optimize the process model. This closed-loop system allows continuous improvement of the model based on actual performance, resolving the contradiction between local adaptability and reliable harvesting performance.
Solution Approach 2:
The patent introduces a remote server as an intermediary between the working machine and the process model adaptation. The server receives sensor data, processes it with expert knowledge, and generates optimized control commands. This intermediary enables sophisticated optimization without requiring unpracticed users to directly adjust the model, thus maintaining reliable performance while enabling local optimization.
2Adaptability or versatility
If the process model is adapted frequently at different usage locations, then the machine can be optimized for local conditions, but the time and complexity of adaptation increase
Solution Approach 1:
The patent performs preliminary adaptation of the process model at the remote server before the machine reaches the actual usage location. The server pre-processes sensor data and generates optimized control commands in advance, so that when the machine operates at a new location, the adaptation is already complete, eliminating on-site adaptation time while maintaining location-specific optimization.
Solution Approach 2:
The patent creates a digital copy of the process model that can be remotely adapted and transmitted to the working machine. Instead of physically reconfiguring the machine at each location, the system copies and updates the process model parameters remotely, significantly reducing adaptation time while maintaining optimization for different locations.
3Reliability
If sensor data is transmitted to a remote server for processing, then the process model can be optimized using external expertise, but the data transmission and processing complexity increases
Solution Approach 1:
The patent extracts only the essential sensor data needed for process model optimization and transmits only this filtered information to the remote server. By selecting and transmitting only critical parameters rather than all available data, the system reduces transmission and processing complexity while maintaining reliable optimization through external expertise.
Data Source
AI summary
A method is provided by which a particularly good agricultural work result is achieved upon use both at the same location and also at other locations for one or multiple agricultural working machines.