Remote Classifier Control for Agricultural Machine Operation Mapping
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Solution Overview
Problem
Many mobile work machines, such as agricultural machines, lack complex sensing and communication systems for identifying machine characteristics, operations, and geographic locations, limiting their operational efficiency and data utilization.
Innovation Solution
A system that collects machine data and classifies it using a remote classifier to identify operations and geographic regions, generating classification outputs that can be processed by a control system for data storage and control signals, utilizing a remote server environment for complex processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex sensing and processing systems are installed on mobile work machines to identify machine characteristics, operations, and geographic locations, then measurement precision and information completeness are improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent extracts the complex classification and processing functions from the mobile work machine itself and relocates them to a remote server environment. The machine only needs to collect basic sensor data and transmit it, while the remote system performs the computationally intensive classification of machine characteristics, operations, and geographic locations. This resolves the contradiction by removing complex processing requirements from the mobile device while maintaining high measurement precision through advanced remote analysis.
Solution Approach 2:
The patent introduces a remote server as an intermediary between the mobile work machine and the analysis system. The machine collects sensor data and sends it to the remote server, which then performs classification and generates work records. This intermediary approach allows the mobile machine to remain simple while still achieving accurate identification of characteristics, operations, and locations through the remote intermediary's processing capabilities.
2Loss of information
If advanced sensing systems are equipped on mobile work machines to collect detailed operational data, then information completeness is improved, but ease of manufacture and cost increase
Solution Approach 1:
The patent extracts the requirement for advanced sensing systems from the mobile work machine manufacturing process. Instead of equipping each machine with complex sensors and processing units, the system only requires basic data collection capabilities on the machine side, with advanced analysis performed remotely. This significantly simplifies manufacturing while maintaining complete operational data through the remote classification system.
3Productivity
If complex processing components are installed on mobile work machines to analyze operational data in real-time, then productivity through immediate decision-making is improved, but device complexity and energy consumption increase
Solution Approach 1:
The patent extracts the energy-intensive processing operations from the mobile work machine and relocates them to a remote server with unlimited power supply. The machine only performs lightweight data collection and transmission, while the remote system handles all computationally intensive classification and analysis tasks. This maintains productivity through timely remote analysis while dramatically reducing energy consumption on the mobile device.
Data Source
AI summary
Sensor data from an agricultural machine performing an operation in a field is collected. The type of operation can be output to a control system for processing and use in controlling operations. The control system generates work records and controls a data store to store the work records for exposure to external systems.