Product lifecycle multi-modal industrial knowledge software-ization method

Abstract

A software-based method for multimodal industrial knowledge throughout the product lifecycle includes the following steps: Step 1: Obtain the sources and requirements of multimodal industrial data throughout the product lifecycle, and perform cluster analysis on the multimodal industrial data; Step 2: Reuse and map existing ontology and standards to construct a hierarchical multimodal industrial knowledge ontology system; Step 3: Convert multimodal industrial data into text modality; utilize text knowledge mining methods to achieve multimodal industrial data knowledge mining, forming clusters of industrial knowledge triplets for each modality; Step 4: Globally encode the clusters of industrial knowledge triplets for each modality, and perform modal fusion and cross-modal alignment to achieve cross-modal industrial knowledge fusion; Step 5: Use the multimodal industrial knowledge graph throughout the product lifecycle as the knowledge reuse foundation to support the personalized configuration development of ubiquitous deployment industrial software for multi-scenario intelligent businesses, realizing a software-based standard process for industrial knowledge acquisition, mining, and reuse.

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