Pareto Frontier GUI for Process Optimization

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Solution Overview

Problem

Existing technologies face challenges in efficiently optimizing chemical and process engineering processes, which often require reconciling conflicting requirements such as hardness and elasticity in product development, or purity and availability in chemical synthesis, using multi-criteria optimization.

Innovation Solution

A procedure involving multi-criteria optimization is developed, utilizing an interactive graphical user interface (GUI) to help users navigate and optimize process design variables and parameters, with the goal of achieving a Pareto optimum by adjusting design variables and visualizing the Pareto frontier.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multi-criteria optimization is performed with a large number of possible components and parameters, then the optimization comprehensiveness is improved, but the user complexity and difficulty of planning increase

Engineering Contradiction:
Improveoptimization comprehensivenessVSAvoiduser complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the optimization process into multiple interactive steps where users provide design variables one at a time, and the system processes them through a graphical user interface that displays Pareto frontiers and deviations separately. This segmentation reduces the cognitive load on users while maintaining comprehensive optimization coverage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a graphical user interface as an intermediary between the user and the complex optimization system. The GUI displays visual representations of Pareto frontiers, deviations from optimal values, and allows users to interact with the optimization process through intuitive controls, thereby reducing user complexity while maintaining optimization comprehensiveness.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If the number of design variables and parameters is increased to capture more process aspects, then the optimization accuracy is improved, but the difficulty of detecting and measuring increases

Engineering Contradiction:
Improveoptimization accuracyVSAvoiddifficulty of detecting
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent uses visual representations in the graphical user interface where different aspects of the optimization are displayed through visual elements that can be easily perceived. The GUI displays Pareto frontiers and deviation information in a visual format that simplifies detection and measurement of multiple design variables and parameters simultaneously.

Inventive Principle:
Principle #32Color changes

Data Source

PatentUS20250181795A1Method for designing or configuring a process, technically functional GUI, system comprising a processor unit, and computer program product
Publication Date: 2025.06.05 FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
  • US20250181795A1 patent drawing
  • US20250181795A1 patent drawing
  • US20250181795A1 patent drawing

AI summary

Multi-criteria optimization of a process, such as a chemical or engineering process, is to be enabled or improved. Interaction between a user and an optimization tool is to be improved as well. A procedure for designing or devising a process is proposed to achieve this. The procedure has the steps of providing a value of a first design variable (x1, x2, . . . , xD) of the process; providing a value of a first parameter (y1, y2, . . . , yK) and a value of a second parameter (y1, y2, . . . ,yK), whereby the values of the parameters (y1, y2, . . . , yK) are formed based on the value of the first design variable (x1, x2, . . . , xD); providing a Pareto frontier (10) for the two parameters (y1, y2, . . . , yK); and determining a deviation of the value of the first parameter (y1, y2, . . . , yK) to a point (11, 12, . . . , 16) of the Pareto frontier (10) and/or determining a deviation of the value of the second parameter (y1, y2, . . . , yK) to the point (11, 12, . . . , 16) of the Pareto frontier (10).