AI Platform Extracting Location Context from Construction Documents
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Solution Overview
Problem
Construction engineering projects face challenges in managing thousands of design documents from various sources, with difficulties in finding relevant documents based on location, job role, or project status, and assessing compliance due to differing templates and lack of direct mapping between 3D models and engineering documents.
Innovation Solution
An AI platform that extracts location and context information from construction documents using a natural language engine, ontology, and taxonomy, inferring grid coordinates from obscured data, and storing documents with annotated location and context information for easy retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional document management systems are used to store construction documents, then documents can be stored, but retrieval efficiency is low and location-based searching is difficult
Solution Approach 1:
The system performs preliminary extraction of location information and context data from construction documents during the ingestion phase, storing this information in advance in structured formats. This preliminary action enables rapid querying and retrieval without requiring manual search through thousands of documents, directly resolving the contradiction between storage capability and retrieval efficiency.
2Loss of information
If image data from construction documents is ignored, then processing is simpler, but valuable location and context information is lost
Solution Approach 1:
The system introduces an intermediary Optical Character Recognition (OCR) component that bridges image data and structured text processing. The OCR engine extracts text from document images, converting unstructured visual information into machine-processable format. This intermediary enables the system to capture location and context information from images without requiring complex custom image analysis algorithms, thus resolving the contradiction between information retention and processing complexity.
3Measurement precision
If grid coordinates in engineering documents are obscured by other content, then document layout is flexible, but coordinate extraction fails
Solution Approach 1:
The system performs preliminary preprocessing of engineering documents to identify and preserve grid coordinate information before main processing occurs. By detecting and protecting coordinate data in advance, the system ensures accurate extraction even when coordinates appear in obscured positions, resolving the contradiction between measurement precision and layout flexibility.
Solution Approach 2:
The system implements feedback mechanisms where extraction results are validated and used to refine the processing approach. When grid coordinates are detected in obscured locations, the system adjusts its extraction strategy based on feedback from the detection phase, ensuring accurate coordinate retrieval while maintaining adaptability to various document layouts.
Data Source
AI summary
A method of processing construction documentation includes receiving, as input data into a processor of a computer, a document directed to a specific construction project as input data. The processor extracts location and context information from the document. The location information defines locations relevant to the specific construction project and the context information comprises text extracted from image data of the document.