Green Area Design System Using AI for Pollutant Absorption
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Solution Overview
Problem
Current systems for designing green areas lack the ability to optimize pollutant absorption and greenhouse gas mitigation, requiring multidisciplinary expertise and being costly, slow, and not easily scalable, with existing online design systems failing to consider environmental decontamination objectives.
Innovation Solution
A data-driven online system integrating artificial intelligence, machine learning, spectrography, and cloud computing to select and position plants optimally for pollutant absorption, using a web platform that processes user input and sensor data to provide efficient design solutions and management strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional multidisciplinary design methods are used for green areas with environmental mitigation objectives, then the quality and scientific rigor of the design is improved, but the design process becomes very slow, laborious and costly
Solution Approach 1:
The patent replaces the traditional mechanical/manual multidisciplinary design process with an automated computer-based system that uses artificial intelligence, machine learning, and data processing to perform environmental impact assessments and generate design solutions automatically, eliminating the need for manual intervention by multiple specialists
Solution Approach 2:
The system enables automated self-assessment of environmental impacts by collecting data from sensors and databases, processing it through algorithms, and generating design recommendations without requiring human experts to manually evaluate each environmental factor
2Reliability
If traditional design systems are used for green areas, then comprehensive expert knowledge is applied, but the systems are not easily scalable and require many professionals
Solution Approach 1:
The patent creates a universal platform that can handle multiple types of environmental assessments (air quality, water quality, soil contamination, noise, greenhouse gases) and generate designs for various green area configurations, making the system adaptable to different projects without requiring separate expert teams for each case
Solution Approach 2:
The system replaces the need for multiple human professionals with an automated computer-based platform that consolidates multidisciplinary expertise into software algorithms, enabling a single operator to access and apply comprehensive environmental knowledge across multiple projects
3Ease of operation
If existing online design systems are used, then the design process is simplified and accessible, but they fail to prepare projects with environmental mitigation objectives and cannot verify pollutant absorption
Solution Approach 1:
The patent introduces sensors as intermediary devices that bridge the gap between the online design system and the physical environment, enabling the system to collect real-time data on pollutant concentrations, plant growth, and environmental conditions to verify actual pollutant absorption
Solution Approach 2:
The system implements feedback loops where sensor data on environmental conditions and plant performance is continuously collected, processed, and used to adjust and optimize design recommendations, providing verifiable evidence of pollutant absorption and enabling iterative improvement of green area designs
Data Source
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AI summary
Described is a system for designing green areas (1) comprising: - a graphical interface module (2) designed to acquire a plurality of input data representing the shape of a green area to be designed, any pollutants present in the green area and design aims; - a processing module (4) designed to combine the input data with system data representing characteristics of the plants to be used and design parameters and to send it to an artificial intelligence module (6) located in a remote server; - a plurality of sensors (8) designed to be positioned in the green area for acquiring measurement data representing physical parameters of the green area and sending it to the artificial intelligence module 6, said artificial intelligence module (6) being designed to process the input data, the system data and the measurement data on the basis of predetermined physical-mathematical and artificial intelligence models in order to obtain output data representing a set of plants to be used, their number and their spatial arrangement inside the green area.