Earth-Working Roller Surface Mapping for Agricultural Fields
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Solution Overview
Problem
Current earth-working roller systems for agricultural machines lack effective methods for determining and storing surface conditions of fields, which limits their operational efficiency and adaptability to varying soil conditions.
Innovation Solution
A method and system that utilize sensors to detect movement data and generate a digital surface map indicative of position-dependent roughness and leveling information, allowing for improved operation control and storage of field conditions, incorporating an earth-working roller assembly with adjustable joint and support mechanisms for rotational movement and actuator control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If earth-working roller systems are equipped with sensors and data processing capabilities to determine surface conditions, then operational efficiency and adaptability to varying soil conditions are improved, but device complexity and cost increase
Solution Approach 1:
The earth-working roller system is designed to perform multiple functions: it serves as both a soil compaction device and a mobile measurement platform. The roller system's existing mobility and ground contact capabilities are leveraged to deploy sensors and collect surface condition data, eliminating the need for separate dedicated measurement vehicles and reducing overall system complexity.
Solution Approach 2:
The system uses its own movement and operational characteristics to facilitate data collection. As the roller system moves across the field performing its primary function, sensors mounted on it automatically capture surface condition data, positioning information, and operational parameters without requiring additional active measurement actions or separate operations.
2Adaptability or versatility
If position-dependent roughness and leveling information are collected and stored for the entire field, then adaptability to varying soil conditions is improved, but data storage requirements and processing complexity increase
Solution Approach 1:
The system focuses on collecting and storing surface condition data specifically at the location where the roller system operates, rather than attempting to map entire fields. The digital surface map contains position-dependent roughness and leveling information localized to the areas actually treated by the roller, reducing overall data volume while maintaining adaptability for the operational areas.
Solution Approach 2:
The system performs preliminary surface condition assessment and stores this information in a digital surface map before subsequent earth-working operations. This pre-collected data is then used to guide and adapt the roller system's operation in real-time, enabling responsive control without requiring extensive post-processing or additional data collection during operation.
3Manufacturing precision
If real-time sensor data is used to generate digital surface maps for position-dependent control, then operational precision is improved, but measurement and data processing complexity increase
Solution Approach 1:
The system combines multiple measurement functions into a single integrated data collection process. Sensors mounted on the roller system simultaneously capture surface roughness, leveling conditions, and position information during normal operation, eliminating the need for separate measurement passes or multiple independent measurement systems, thereby reducing overall measurement complexity while maintaining high precision.
Solution Approach 2:
The system implements a feedback loop where sensor data from the roller system is processed to generate a digital surface map, which then informs and adjusts subsequent roller operations in real-time. This closed-loop control enables position-dependent operation control that adapts to actual surface conditions, improving operational precision through continuous measurement and adjustment.
Data Source
AI summary
The disclosure refers to a method for determining and storing surface conditions for a field, comprising: moving an agricultural machine having an earth-working roller system over a field, the earth-working roller system comprising an earth-working roller assembly; detecting sensor signals for an oscillating movement of the earth-working roller assembly; detecting position data for the movement of the earth-working roller system over the field; generating a digital surface map for the field indicative of position-dependent roughness and/or leveling information, the generating comprising assigning the sensor signals to the position data; and storing the digital surface map in a data storage device. Further, a system for determining and storing surface conditions for a field is provided.