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Ontology-based Case Representation of Mechatronic Product Eco-design and Development of a Cloud-based Case Library

Published: 21 December 2023 Publication History

Abstract

Product life cycle eco-design is challenging, knowledge-intensive and information dependent. This study aims to develop a case library system for eco-design knowledge management and to facilitate eco-design practice of mechatronic product (i.e. manufacturing equipment, construction machinery, vehicles). An ontology-based representation of mechatronic product life cycle eco-design is proposed, which enables the structuring and standardization of related data and the storage of such data in a computer-processable manner. Descriptive features of eco-design case are defined in accordance to the ontology model, based on which the similarity between eco-design case and case queries is calculated using the nearest neighbour method and case retrieval is realized based on the calculated similarity. With the proposed ontology model, a cloud-based eco-design case library is then developed, which provide the benefits of easy deployment and maintenance, and better accessibility.

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    CSAE '23: Proceedings of the 7th International Conference on Computer Science and Application Engineering
    October 2023
    358 pages
    ISBN:9798400700590
    DOI:10.1145/3627915
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 December 2023

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    Author Tags

    1. Cloud-based
    2. Life Cycle Eco-Design
    3. Ontology
    4. Web Service

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    • National Key R&D program of China

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    CSAE 2023

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    Overall Acceptance Rate 368 of 770 submissions, 48%

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