Land Grading Optimization Using Topography and Usage Constraints
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Solution Overview
Problem
Manual grading design processes are time-consuming, prone to errors, and inefficient, lacking in precision and adaptability, and often fail to meet regulatory and functional requirements, leading to suboptimal project outcomes.
Innovation Solution
A computer-implemented method and system that generates an optimal grading design using a topography profile, boundary appending, usage constraint satisfaction, and quadratic greedy-global optimization to minimize land restructuring costs, incorporating data-driven techniques like LiDAR and GIS for accurate terrain modeling and cost analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual grading design processes are used, then flexibility in design adjustments is maintained, but the process becomes time-consuming and prone to errors
Solution Approach 1:
The patent replaces manual mechanical design processes with an automated computer-implemented system that performs grading design calculations, optimizations, and visualizations. The system automatically processes topographic data, performs cut-fill analyses, generates grading plans, and provides 3D visualizations, eliminating manual errors and significantly reducing design time while maintaining flexibility through digital modifications.
2Loss of information
If detailed 3D visualizations are provided, then design assessment capability is improved, but data processing complexity increases
Solution Approach 1:
The patent introduces an intermediary computational layer that processes raw topographic data and generates 3D visualizations automatically. The system acts as a mediator between the input data and the designer, transforming complex spatial data into comprehensible visual representations that enhance design assessment without requiring the designer to manually handle the complexity of data processing.
3Productivity
If automated grading optimization tools are used, then processing speed is improved, but the output does not effectively fit the input design criteria
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously evaluates generated grading designs against specified design criteria and constraints. The automated optimization process incorporates feedback loops that adjust design parameters to ensure compliance with slope requirements, drainage specifications, and other design criteria, thereby maintaining both high productivity and precision in meeting design requirements.
Data Source
AI summary
Methods and systems for generating an optimal grading design are disclosed. The method performed by the system includes generating a topography profile of a plot of land. The method includes appending a plurality of boundaries to the topology profile. The method includes determining whether a grading design satisfies usage constraints based, at least in part, on the topography profile and a usage map. Herein, the usage map includes a plurality of usage areas and corresponding usage parameters. The method includes accessing a cost profile including a plurality of individual costs associated with respective land restructuring operations of the plot of land. The method includes generating a modified topography profile based on the topography profile and the cost profile associated with the respective land restructuring operations of the plot of land.