Framework Design and Implementation of the AI Aided Process Designing Platform for Shipbuilding Industry

In order to achieve digital upgrading of traditional shipbuilding industry, framework design and program development of the artificial intelligence (AI) Aided Process Designing Platform have been completed. The platform is based on B/S architecture. By utilizing retrieval- augmented generation (RAG) technology and Large Language Model (LLM), four major function functional modules was implemented, including process knowledge integration, Knowledge Engineering Management, intelligent question and answer (Q&A) for process knowledge, and process plan generation. The retrieval accuracy of the AI Aided Process Designing Platform was proved to reach over 95%, while the accuracy of Q&A reached over 74% by manual testing, which can help technicians save query time and Improve design efficiency. Besides, process plans can be automatically composited rapidly through the templates. Therefore, the AI Aided Process Designing Platform can help shipbuilding enterprises improve the economic benefits and enhance the competitiveness.

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Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/diia62678.2024.10871768
Primary Topic
Technology and Data Analysis
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article
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article

Framework Design and Implementation of the AI Aided Process Designing Platform for Shipbuilding Industry

Yanjun Ma, Li Fei, Xi Meng, Xiaoyang Liang
Technology and Data Analysis
article

Framework Design and Implementation of the AI Aided Process Designing Platform for Shipbuilding Industry

Yanjun Ma, Li Fei, Xi Meng, Xiaoyang Liang
article en

Abstract

In order to achieve digital upgrading of traditional shipbuilding industry, framework design and program development of the artificial intelligence (AI) Aided Process Designing Platform have been completed. The platform is based on B/S architecture. By utilizing retrieval- augmented generation (RAG) technology and Large Language Model (LLM), four major function functional modules was implemented, including process knowledge integration, Knowledge Engineering Management, intelligent question and answer (Q&A) for process knowledge, and process plan generation. The retrieval accuracy of the AI Aided Process Designing Platform was proved to reach over 95%, while the accuracy of Q&A reached over 74% by manual testing, which can help technicians save query time and Improve design efficiency. Besides, process plans can be automatically composited rapidly through the templates. Therefore, the AI Aided Process Designing Platform can help shipbuilding enterprises improve the economic benefits and enhance the competitiveness.

Donghua University (CN), Shanghai Shipbuilding Technology Research Institute (CN), Software (Spain) (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Technology and Data Analysis
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Framework Design and Implementation of the AI Aided Process Designing Platform for Shipbuilding Industry — Yanjun Ma, Li Fei, et al. · (2024) | TGRS Research Map | TGRS