3D Technology Visualization for Predicting Adoption Pathways

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Solution Overview

Problem

Existing technologies face challenges in predicting the evolutionary path and adoption of new technologies due to factors such as cultural preferences, infrastructure availability, and government mandates, leading to slow transitions and inefficiencies in technology implementation.

Innovation Solution

A 3D graphical visualization system that integrates historical data and generative AI to predict the future success of technologies by analyzing case studies, infrastructure availability, and cultural changes, using a neural network to generate probability models for technology evolution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional technology adoption methods are used, then implementation occurs, but transition time is slow and prediction accuracy is poor

Engineering Contradiction:
Improveprediction accuracyVSAvoidtransition time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent transitions from traditional linear or tabular technology analysis to a three-dimensional graphical visualization system. The three axes represent different dimensions of technology evaluation (e.g., technology maturity, market adoption, infrastructure readiness), enabling comprehensive prediction by analyzing technologies across multiple simultaneous dimensions rather than sequential factors.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The system creates visual copies or representations of technology data points in three-dimensional space, where each technology is plotted as a point or object with coordinates representing its status across multiple criteria. This visual copying enables pattern recognition and prediction by comparing relative positions and trajectories of different technologies.

Inventive Principle:
Principle #26Copying

2Measurement precision

If comprehensive factors are analyzed, then prediction accuracy improves, but system complexity increases

Engineering Contradiction:
Improveprediction accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

By organizing multiple evaluation factors along three orthogonal axes, the system manages complexity through spatial arrangement. Each axis represents a category of factors (e.g., technological, market, infrastructural), allowing comprehensive analysis while maintaining visual organization that prevents cognitive overload.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The three-dimensional visualization framework serves multiple functions simultaneously: it displays current technology status, predicts future trajectories, compares multiple technologies, and identifies adoption barriers. This multi-functionality reduces the need for separate analytical tools for each aspect of technology assessment.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12536188B23D graphical approach to technology analysis
Publication Date: 2026.01.27 THE GOVERNMENT OF THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SEC OF HOMELAND SECURITY
  • US12536188B2 patent drawing
  • US12536188B2 patent drawing
  • US12536188B2 patent drawing

AI summary

In an embodiment, a method of technology visualization requests, by an input module, input from a user specifying a technology that is to be visualized. A control module accesses a visualization database to retrieve values and other information pertaining to the technology. The input module requests input from the user specifying values or information not contained in the visualization database. The control module selects three dimensions to serve as three axes for a three dimensional visualization. The control module converts values from the visualization database or user input into a format for plotting in a coordinate system of the three axes. A visualization module generates a three dimensional visualization pertaining to the technology, criterion, and criterion information.