Computer Land Planning System Heuristic Optimization
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Solution Overview
Problem
The current land planning and development process is time-consuming, inaccurate, and expensive due to complex bureaucratic complications, miscommunication, and the need for extensive investment before property purchase, often resulting in unoptimized design options and high risks for developers.
Innovation Solution
A computer-implemented land planning system utilizing heuristic mathematical approaches, such as genetic algorithms, to generate multiple optimized solutions for land development, including planning, engineering, and budgeting, within a 24-hour period, integrating site specifications, cost information, and user constraints to provide cost-effective and globally optimal solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional land planning process is used with multiple teams and sequential steps, then comprehensive engineering assessment can be achieved, but the process takes 4 weeks to 28 weeks (average 16 weeks) and is expensive
Solution Approach 1:
The patent replaces the mechanical system of sequential human team-based planning with an automated computer-implemented system that uses algorithms and software to perform land planning and engineering assessments simultaneously, reducing time from months to hours while maintaining comprehensive analysis
Solution Approach 2:
The patent merges land planning and engineering assessment into a single integrated computer-implemented process that operates simultaneously rather than sequentially, allowing multiple teams' functions to be combined into one automated system that produces comprehensive results faster
2Reliability
If traditional sequential planning process is used, then detailed engineering analysis can be performed, but the process is expensive and requires substantial investment before property purchase
Solution Approach 1:
The patent performs preliminary automated land planning and engineering assessments before property purchase using computer algorithms, providing reliable feasibility analysis at lower cost so that substantial investment is only made after virtual engineering confirms development potential
Solution Approach 2:
The patent creates virtual copies and simulations of land development scenarios through computer modeling, allowing multiple feasibility assessments to be performed digitally at low cost before committing real investment, replacing expensive physical planning iterations
3Adaptability or versatility
If traditional planning process is used with multiple groups, then comprehensive input can be gathered, but miscommunication and disconnect result in bad designs and disagreements
Solution Approach 1:
The patent merges land planning and engineering functions into one integrated computer system that processes all inputs through standardized algorithms, eliminating communication gaps between separate teams while maintaining the ability to handle diverse disciplinary requirements
Solution Approach 2:
The patent introduces a computer-implemented system as an intermediary that standardizes and coordinates all land development inputs through unified processing logic, preventing miscommunication and ensuring consistent integration of multi-disciplinary requirements
4Ease of manufacture
If traditional planning process is used, then single design option can be produced, but the option is not optimized and value engineering is required
Solution Approach 1:
The patent makes the design process dynamic by using computer algorithms to generate and evaluate multiple optimized design alternatives rather than producing a single static design, allowing the system to adapt and optimize solutions based on various constraints and objectives
Solution Approach 2:
The patent systematically varies design parameters through computer-based optimization algorithms to generate multiple optimized alternatives, automatically adjusting variables to meet constraints and objectives without requiring post-design value engineering
Data Source
AI summary
A computer-implemented land planning system is designed to generate at least one conceptual fit solution to a user-defined land development problem. The system electronically creates at least one candidate solution to the land development problem. The candidate solution incorporates a number of engineering measurements applicable in development of an undeveloped land site. A fitness function quantitatively evaluates the candidate solution based on its fitness. A heuristic problem-solving strategy manipulates the engineering measurements of the candidate solution to achieve a more quantitatively fit solution to the land development problem. A computer output device outputs to a user documentation illustrating the fit solution to the land development problem.