Field Map Generating System Using Time-Based Harvesting Data
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Solution Overview
Problem
Existing field map generating systems face accuracy issues due to data being collected at equal distance intervals, leading to inaccuracies in crop yield data and position information, and temporary loss of position information, resulting in a low-accuracy field map that does not reflect the actual field conditions.
Innovation Solution
A system that includes a crop data obtaining unit, position information obtaining unit, polygon constructing unit, data assigning unit, and field map generating unit, which constructs polygons based on the harvester's work width and speed, allowing for accurate assignment of data to polygons and generation of a field polygon map, even in the absence of equal distance intervals or position information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If data is obtained at equal distance intervals, then the field can be divided into uniform segments for systematic data collection, but the accuracy of crop yield data decreases due to calculation errors in distance traveled
Solution Approach 1:
The patent changes the parameter for data collection from distance-based intervals to time-based intervals. By collecting data at equal time intervals rather than equal distance intervals, the system eliminates the need for complex distance calculations and reduces calculation errors, thereby improving measurement precision while maintaining systematic data collection
2Measurement precision
If data is obtained in each unit of time, then the accuracy of crop yield data improves, but the positions where data is obtained will not match the predetermined field segmentation
Solution Approach 1:
The patent applies segmentation by dividing the field into polygons based on actual work areas rather than predetermined equal-distance segments. This allows data collected at time intervals to be accurately assigned to specific spatial regions, resolving the mismatch between temporal data collection and spatial field segmentation
Solution Approach 2:
The system dynamically adjusts the field segmentation into polygons that reflect actual harvesting patterns and work areas. Rather than using fixed predetermined segments, the polygons are created based on real-time position information and work width, allowing the segmentation to adapt to the actual harvesting process
3Reliability
If position information is temporarily unavailable, then data cannot be associated with minute segments, but this results in data loss and reduced field map accuracy
Solution Approach 1:
The patent implements beforehand cushioning by creating a continuous position history buffer that stores position information over time. When position information becomes temporarily unavailable, the system can retrieve previous position data from the buffer to maintain data association, preventing data loss and ensuring continuous field map generation
Data Source
AI summary
A field map generating system includes: a crop data obtaining unit that obtains crop data over time; a position information obtaining unit that obtains position information, indicating a harvesting position of the crop, over time; polygon constructing units that construct a polygon on the basis of a work width and speed of a harvester, for each piece of crop data obtained by the crop data obtaining unit; data assigning units that assign crop data or crop information based on the crop data to the constructed polygons; a position information assigning unit that assigns position information to the constructed polygons; and field map generating units that generate a field polygon map, which is an aggregate of the polygons, by aggregating the polygons.