Water-Efficient Landscape Design With Automated Plant Selection
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Solution Overview
Problem
The traditional landscape design process is inefficient, time-consuming, and often fails to prioritize water conservation and biodiversity, limiting the adoption of water-efficient designs due to manual plant selection and calculation challenges.
Innovation Solution
A computing system dynamically generates water-efficient landscape designs by processing site data and plant database information to select compatible, high-biodiversity plants that meet user preferences and rebate requirements, optimizing plant lists based on height, color, and bio-value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual plant selection and design process is used, then designer can incorporate personal taste and client preferences, but the process becomes extremely time-consuming and inefficient
Solution Approach 1:
The patent replaces the manual mechanical process of plant selection with an automated computer-based system. The system uses software to automatically search plant databases, filter plants based on multiple criteria (water efficiency, biodiversity, site conditions, client preferences), and generate design recommendations, eliminating the need for manual lookup and calculation while preserving design quality.
Solution Approach 2:
The system enables self-service by allowing clients to input their own preferences and site information, which then automatically generates plant selection recommendations. The automated system performs the time-consuming tasks of searching plant databases, calculating water efficiency metrics, and evaluating biodiversity scores without requiring designer intervention for each individual plant selection.
2Measurement precision
If comprehensive plant database search is performed to meet rebate requirements, then accurate water efficiency and biodiversity selection is achieved, but the lookup process becomes very time-consuming
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing water efficiency metrics, biodiversity scores, and compatibility data for all plants in the database before design work begins. When a designer needs plant information, the system has already prepared filtered lists and compatibility data, eliminating the need for real-time searching and calculation during the design process.
Solution Approach 2:
The patent replaces manual searching and calculating with automated computer-based retrieval and computation. The system automatically queries the plant database, retrieves relevant plant data, performs water efficiency calculations, and generates biodiversity assessments instantaneously, maintaining measurement precision while dramatically improving productivity.
3Adaptability or versatility
If traditional manual design process is used, then designer can create customized layouts, but the process lacks automated optimization for water conservation and biodiversity
Solution Approach 1:
The system incorporates feedback mechanisms by automatically evaluating plant selections against water efficiency criteria and biodiversity metrics. The software provides real-time feedback to designers about the environmental performance of their selections, allowing them to adjust choices to optimize both customization and ecological effectiveness. The system can rank plants by biodiversity value and water efficiency, guiding designers toward more sustainable choices.
Solution Approach 2:
The patent creates a universal system that simultaneously handles multiple functions: it maintains design customization capabilities while also performing automated water efficiency analysis, biodiversity assessment, rebate requirement verification, and plant compatibility evaluation. This multi-functional system ensures that customized designs automatically meet environmental standards without requiring separate manual checks.
Data Source
AI summary
A landscape design system and associated methods are disclosed for dynamically generating an at least one water efficient landscape design, consisting of a plurality of water efficient plants, for an at least one site. In at least one embodiment, a computing system is in selective communication with an at least one landscape database. The computing system gathers from an at least one user and the at least one landscape database various details related to the site and the user's plant preferences, then accesses a plant table within the at least one landscape database to obtain select details on a plurality of plants to potentially 10 include in the at least one landscape design. Based on the gathered details, the computing system populates a plant selection list and communicates the plant selection list as a landscape design report to the at least one user.