Automated Plough Adjustment From Multi-Point Soil Sensing

The patent replaces manual visual inspection with automated optical sensors (cameras) and computational algorithms to detect and measure furrow geometry, plough frame inclination, and soil cultivation results. This substitution of mechanical/manual operations with automated sensing systems directly improves measurement precision while managing system complexity through software-based evaluation.

The patent introduces an intermediate control device that acts as a mediator between the physical plough components and the operator. This control device processes sensor data, evaluates cultivation quality, and provides adjustment recommendations, thereby improving precision by removing direct human visual error while maintaining operational flexibility through automated assistance.

The patent employs multi-functional sensor arrangements that simultaneously detect multiple parameters including front furrow width, plough frame inclination, and soil cultivation results. This multi-functionality improves detection precision across multiple dimensions while avoiding the need for separate dedicated sensors for each parameter, thereby managing overall system complexity.

The patent combines multiple detection functions into integrated sensor arrangements and unified evaluation algorithms. By merging the detection of geometric parameters, inclination angles, and cultivation quality into a single automated system, the patent achieves high detection precision while reducing the complexity that would arise from multiple independent systems.

The patent implements self-service functionality where the automated system detects cultivation results, evaluates quality parameters, and determines correction settings without requiring manual intervention. This self-service approach improves adjustment reliability by eliminating human error while maintaining ease of operation through automated decision-making that reduces the operator's workload rather than complicating control.

The patent establishes a feedback loop where sensor data is continuously evaluated against target values, and correction settings are automatically determined and applied. This feedback mechanism improves reliability by ensuring consistent, data-driven adjustments while maintaining ease of operation through automated closed-loop control that reduces manual monitoring and adjustment efforts.

The patent divides the detection area into multiple spaced-apart measurement points to assess tillage result uniformity across the full working width. This segmentation approach improves manufacturing precision by capturing spatial variations in soil cultivation quality, while the systematic arrangement of measurement points allows efficient data collection and evaluation without excessive complexity.

The patent extends measurement from single-point checks to multi-point spatial sampling across the detection area. By adding the spatial dimension with multiple measurement points arranged in specific patterns, the system achieves comprehensive assessment of tillage uniformity while managing measurement complexity through structured data acquisition and evaluation algorithms.