Surface Mapping System for Real-Time Worksites
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Suboptimal worksite design and machine operation lead to increased work cycle time, fuel waste, and accelerated wear of machine parts, necessitating improved visualization and analysis tools for worksites.
Innovation Solution
A surface mapping system that utilizes global positioning data from earthmoving machines to generate visual depictions of worksite surfaces by removing outliers from discrete position data and creating grids, enabling real-time visualization and analysis of machine and worksite parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If visual depiction of worksite surfaces is provided in real-time, then worksite efficiency is enhanced and machine operation is optimized, but data processing complexity increases due to the need to receive and process position data from multiple machines
Solution Approach 1:
The system segments the worksite into multiple zones and processes position data from different machines independently for each zone. This allows parallel processing of data from multiple sources without creating a single processing bottleneck, thereby maintaining real-time visualization capability while managing data processing complexity through distributed zone-based handling
Solution Approach 2:
The system introduces an intermediary processing layer that receives position data from multiple machines, filters outlying points, and generates simplified surface models before final visualization. This intermediary layer abstracts the complexity of multi-machine data integration, providing clean processed data to the visualization system while managing the computational burden separately
2Measurement precision
If outlying points are removed from position data to improve accuracy, then visual depiction accuracy is improved, but processing time increases due to the additional filtering step
Solution Approach 1:
The system applies partial outlier removal by selectively filtering only the most significant outlying points that substantially affect surface model accuracy, rather than attempting to remove all potential outliers. This selective approach achieves sufficient visual depiction accuracy while minimizing the processing time penalty associated with exhaustive outlier filtering
Solution Approach 2:
The system dynamically adjusts the outlier detection threshold based on the density and distribution of position data points. When data density is high, a more stringent threshold is applied; when data density is low, a more lenient threshold is used. This adaptive parameter adjustment maintains visual depiction accuracy across varying data conditions while optimizing processing time by avoiding unnecessary filtering operations
Data Source
AI summary
A surface mapping system including a controller configured with a plurality of instructions, the plurality of instructions including instructions to receive position data from each machine in a plurality of machines located on a worksite and to generate, utilizing the received position data, a display signal for providing a visual depiction of a surface of the worksite.