AI Quantification of Building Requirements from 2D Design Changes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Construction projects face challenges in accurately tracking and managing change orders due to reliance on manual processes with two-dimensional documents, leading to inefficiencies and loss of knowledge as skilled workers retire, affecting consistency and accuracy.
Innovation Solution
Utilizing artificial intelligence to analyze two-dimensional documents, convert them into interactive interfaces, and track changes, generating user-definable and editable lines, vectors, and polygons to enhance estimation and project management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual processes are used to analyze two-dimensional documents, then ease of operation is maintained, but productivity and measurement precision deteriorate
Solution Approach 1:
The patent replaces manual mechanical analysis of two-dimensional documents with an automated computer vision system. The system uses image processing algorithms to detect, measure, and quantify features in architectural drawings, blueprints, and other 2D construction documents, eliminating the need for manual measurement and calculation while significantly improving productivity and measurement precision.
Solution Approach 2:
The system enables self-service analysis where the computer vision system automatically processes construction documents without requiring skilled manual intervention. The automated system performs tasks such as detecting architectural features, measuring dimensions, calculating areas and volumes, and generating construction estimates independently, allowing users to obtain accurate measurements and cost estimates without manual analysis.
2Device complexity
If manual analysis of two-dimensional documents is performed, then device complexity is reduced, but measurement precision and reliability deteriorate
Solution Approach 1:
The patent replaces imprecise manual measurement methods with a computer vision system that uses digital image processing to achieve high measurement precision. The system automatically detects features in two-dimensional construction documents, measures dimensions with high accuracy, and maintains consistent results without the variability inherent in manual analysis.
Solution Approach 2:
The system incorporates feedback mechanisms where the computer vision system processes documents, generates measurements and estimates, and allows users to review and verify results. The system can be trained on historical data and corrected feedback to improve its measurement precision and adapt to different document formats and styles over time.
3Adaptability or versatility
If skilled workforce transitions occur, then adaptability is maintained, but loss of information increases
Solution Approach 1:
The patent creates a digital knowledge base that copies and stores all construction document analysis, measurements, and estimates in a searchable database. This digital repository preserves the expertise and knowledge of skilled workers by capturing their analysis results in structured digital formats, ensuring that this information is not lost when workers retire or leave the industry.
Solution Approach 2:
The computer vision system acts as an intermediary between manual skilled analysis and digital documentation. It captures, processes, and stores construction document information in a standardized digital format, serving as a mediator that transfers knowledge from human experts to a permanent digital record, thereby preventing information loss during workforce transitions.
4Ease of manufacture
If two-dimensional documents are used for construction tracking, then ease of manufacture is maintained, but loss of information and measurement precision deteriorate
Solution Approach 1:
The patent uses computer vision technology to automatically extract information from two-dimensional construction documents, replacing manual information extraction processes. The system detects architectural features, measures dimensions, and generates comprehensive construction estimates directly from 2D drawings, preventing information loss while maintaining the simplicity of using standard two-dimensional document formats.
Data Source
AI summary
Artificial Intelligence systems quantify requirements for construction of a building by receiving two-dimensional representations (e.g., physical or electronic documents) and mimicking the perception, learning, problem-solving, and decision-making formerly performed by human workers. AI analysis may be repeated for multiple two-dimensional representations, each two-dimensional reference including a change to a design of a building to be constructed. The AI processes denote and track changes made in the sequence of two-dimensional references, and extrapolate changes to materials and labor that relate to the changes in design of the building to be constructed.