P&ID Generation from Natural Language Using LLM Subsystem Retrieval
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Solution Overview
Problem
Creating Process and Instrumentation Diagrams (P&IDs) is a labor-intensive and time-consuming process due to the complexity of accurately representing industrial processes, requiring deep understanding and multiple revisions to ensure accuracy and compliance with industry standards, even with the use of pre-defined subsystem databases.
Innovation Solution
A computer-implemented method that automates the creation of P&IDs using large language models (LLMs) to process natural language inputs, retrieving and combining subsystem data in a standardized format, such as DEXPI XML, to generate complete P&IDs, leveraging techniques like few-shot prompting and supervised fine-tuning to enhance accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual methods are used to create P&IDs with expert knowledge, then accuracy and compliance with industry standards are ensured, but time consumption and labor intensity increase significantly
Solution Approach 1:
The patent introduces an intermediary system comprising a natural language processing module and a P&ID generation module that mediates between the user's natural language input and the standardized P&ID output. This intermediary automatically transforms process descriptions into structured P&ID diagrams, eliminating the need for manual expert intervention while maintaining accuracy through predefined templates and industry standard compliance rules.
Solution Approach 2:
The system enables self-service by allowing users to generate accurate P&IDs through simple natural language input without requiring expert knowledge. The automated generation module independently handles the complex tasks of interpreting process descriptions, selecting appropriate subsystems from databases, and generating compliant P&ID diagrams, making the service accessible to non-experts.
2Stability of the object's composition
If databases of common subsystems are used to simplify P&ID creation, then consistency and adherence to standards are improved, but the complexity of identifying and combining required subsystems increases
Solution Approach 1:
The patent replaces the manual mechanical process of identifying and combining subsystems with an automated information processing system. The natural language processing module extracts requirements from user input, and the P&ID generation module automatically queries subsystem databases, retrieves appropriate components, and combines them according to industry standards, eliminating the complex manual task of subsystem identification and assembly.
3Reliability
If multiple revisions are performed to ensure accuracy and compliance, then quality of P&ID is improved, but productivity and output per unit time decrease
Solution Approach 1:
The system performs preliminary actions by pre-defining standardized subsystem templates and compliance rules in the database. When generating a P&ID, the system automatically applies these pre-established templates and rules, ensuring quality and compliance in the initial generation without requiring multiple revision cycles. This preliminary preparation of standards and templates enables high-quality output in a single pass.
Data Source
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AI summary
The invention relates to a computer-implemented method for building a Piping and Instrumentation Diagram, "P&ID", (P&ID_SYS), characterized in that a) first data (P&IDn_SYS) representing data structured according to a standardized description format (XML) at least describing a part of subsystems (P&IDn_SUB) of said P&ID (P&ID_SYS) representing a process, in particular industrial process, to be established, is automatically built based on a formalized textual input (RQS), said formalized textual input (RQS) being automatically generated based on a natural language input (NLI) representing said process, in particular industrial process, to be established, whereby c) said natural language input (NLI) being automatically transformed to a second data representing formalized textual input (RQS), c) said first data (P&IDn_SYS) is retrieved and/or combined based on said second data (RQS) in such a manner that third data (P&ID_SYS) representing said P&ID can be generated for further processing, for example at least temporally stored, displayed and/or edited, d) said building of first data, transformation to second data, retrieval, combination and/or generation of third data (P&ID_SYS) is achieved through prompting at least one large language model (LLM1...LLM3). It also relates to an arrangement for carrying out the method, a computer-program product and a provisioning device.