Knowledge Representation and Reuse of Ship Block Coating Based on Knowledge Graph

Ship coating, as one of the three pillar processes in the shipbuilding industry, runs through the entire process of ship construction. However, there is currently a lack of effective organization, management methods, and mechanisms for ship coating process data, which not only leads to the dispersion of data but also limits the effective representation and reuse of the coating knowledge. To solve this problem, this paper takes the ship block coating process as the research object and proposes a method for knowledge modeling and reuse of coating knowledge using knowledge graph and question answering technology. Compared with existing strategies, this paper introduces the temporal knowledge graph, which allows for dynamic updating and generation of the knowledge graph specific to ship coating processes. In addition, we apply the knowledge embedding question answering (KEQA) method improved by the analytic hierarchy process (AHP) to facilitate high-quality retrieval and personalized question answering regarding ship block coating knowledge. We validate the proposed method using block coating process data from the 81200DWT bulk carrier and advanced ship coating methods and optimization data. The results demonstrate that the AHP-KEQA (KEQA method improved by the AHP) method improves the accuracy of knowledge question answering compared with KEQA, which further reinforces the effectiveness of the AHP-KEQA method for question answering of ship block coating knowledge.