AI Assisted Single Line Diagram Copilot

In today’s fast-paced technological landscape, the efficient processing of Single Line Diagrams (SLDs) and technical specifications remains a significant challenge for tender engineers. Traditional methods, such as manual digitization and scanning, are time-consuming, error-prone, and hinder the ability to respond swiftly to tenders. To address this issue, a novel approach is proposed which leverages a combination of advanced technologies to automate the extraction of critical information from these documents. The solution integrates Optical Character Recognition (OCR) with a rule-based engine to accurately identify and interpret symbols within SLDs. This enables the efficient extraction of information such as component types, ratings, and connections. Furthermore, Large Language Model (LLM)-based approach is employed to process technical specifications. By leveraging the power of natural language processing, LLM can effectively extract relevant data points, such as technical requirements, compliance standards, and pricing information. By automating these tasks, the solution significantly reduces manual effort, improves accuracy, and accelerates the overall tendering process. This enables engineers to focus on higher-value activities, such as technical analysis and strategic decision-making.