Algorithmic Surface Protection Design System
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Solution Overview
Problem
Existing surface protection systems are inefficient and costly due to manual design processes that fail to consider aesthetic and functional requirements, environmental factors, and the totality of conditions such as seasonal temperature, surface loading, and maintenance chemical exposures.
Innovation Solution
A computer-based surface protection design system utilizing algorithms to create custom surfaces that meet both aesthetic and functional preferences, incorporating features such as iterative design choice reconfigurations, site-specific product selection, and cost estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual selection processes are used to choose surface protection materials, then design flexibility is maintained, but the process becomes time-consuming and costly
Solution Approach 1:
The patent replaces manual mechanical selection processes with an automated computer-based algorithmic system. The algorithm automatically selects surface protection materials by processing design parameters, environmental conditions, and performance requirements, eliminating the time-consuming manual iteration while preserving design flexibility through configurable inputs and multiple solution options.
Solution Approach 2:
The system enables self-service design by allowing users to input their own parameters and requirements, then the algorithm independently performs the material selection and optimization without requiring manual intervention at each step. The system serves itself by automatically evaluating multiple scenarios and presenting optimized solutions.
2Ease of operation
If manual design processes are used, then subjective design choices can be made, but the process becomes vulnerable to variability and inconsistency
Solution Approach 1:
The algorithm incorporates feedback mechanisms that evaluate design choices against established performance criteria, environmental factors, and material properties. This feedback loop ensures that subjective design preferences are continuously refined and validated against objective performance metrics, achieving consistency without eliminating design freedom.
Solution Approach 2:
The system manages the transition from subjective to objective design by allowing users to adjust parameters and weights of different design criteria. The algorithm processes these parameter changes and generates consistent results based on the configured priorities, enabling reproducible designs that reflect user preferences without manual variability.
3Strength
If previous methods focused only on aggregate layered surfaces for stress exposure, then structural durability is addressed, but aesthetic features and environmental factors are neglected
Solution Approach 1:
The patent creates a multi-functional design system that simultaneously addresses structural durability, aesthetic requirements, and environmental factors. The algorithm integrates multiple evaluation criteria including mechanical performance, visual appearance, thermal properties, and chemical resistance into a unified selection process, allowing a single system to optimize across diverse requirements rather than focusing solely on structural aspects.
4Reliability
If comprehensive environmental factors are considered in design, then optimal surface protection is achieved, but the design process becomes more complex and costly
Solution Approach 1:
The algorithm segments the comprehensive design process into distinct modular evaluation stages: environmental condition assessment, material property analysis, performance prediction, and optimization. Each segment handles specific factors independently, making the complex overall process more manageable and computationally efficient while maintaining comprehensive consideration of all environmental influences.
Data Source
AI summary
A computer-based method for designing surface protection systems for spaces is provided. The method includes the steps of searching for past saved appointments, loading selected past saved appointments, modifying the selected past saved appointments, creating a new project based on the modified selected past saved appointments, adding new rooms and features, drawing out space design aspects for the new rooms and features, selecting surface types for the space design aspects, including site specific surface, appending use specific design products, selecting from predesigned formulations for the new project, designing new formulations, selecting colors, calculating costs for, estimating time frames, providing iterative return design choice reconfigurations, finalizing a list of materials, list of processes, list of costs, list of chronology of events, and description and list of deliverables, and engaging in an offer/counter offer iterative process which results in a mutually approved contractual agreement.