In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process knowledge representation model for ship heterogeneous model is proposed in this paper. Firstly, the multi-element process knowledge graph is constructed, and the heterogeneous ship model is described in a unified way. Then, the multi-strategy ontology mapping method is applied, and the semantic expression between the process knowledge graph and the entity model is realized. Finally, by obtaining implicit semantics based on case-based reasoning and checking the similarity of the matching results, the case knowledge reuse is achieved, to achieve rapid design of the process. This method provides reliable technical support for the design of ship component assembly and welding process, greatly shortens the design cycle, and improves the working efficiency. In addition, taking the double-deck bottom segment of a ship as an example, the process knowledge map of the heterogeneous model is constructed to realize the rapid design of ship process, which shows that the method can effectively acquire the process knowledge in the design case and improve the efficiency and intelligence of knowledge reuse in the process design of the heterogeneous model of a ship.

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This paper presents an intelligent path planning method with multiple constraints to solve the problem of instability of unmanned aerial vehicle (UAV) intelligent spray painting (UAV‐ISP) systems for spray painting the outer panels of ships. Spray‐painting path planning is realized using the multiobjective particle swarm algorithm and ant colony algorithm. In addition, a stability control method for the UAV based on the linear active disturbance rejection control (LADRC) algorithm is proposed and controlled by Mission Planner ground station software to solve the stability control problem of UAVs during spray painting. Through the above two key technologies, the painting quality of the UAV‐ISP system is guaranteed. First, a three‐dimensional (3D) model of the ship was obtained in a 3D modeling environment. Then the paint paths were optimized using the multiobjective particle swarm algorithm. The optimized path planning results were then combined using the ant colony algorithm to obtain the final spray painting path. Force analysis of the UAV during spray painting was carried out using the Newton–Euler equation and catenary theory, and a mathematical model of the UAV spray‐painting system with multiload coupling was established. Finally, a stability control system for the spray‐painting UAV based on LADRC was designed. The experimental and simulation results show that the proposed painting path is accurate, the spray‐painting UAV has good stability, and the spray‐painting quality of the UAV‐ISP system meets the standards for the outer panels of ships.

In the process design and reuse of marine component products, there are a lot of heterogeneous models, causing the problem that the process knowledge and process design experience contained in them are difficult to express and reuse. Therefore, a process knowledge representation model for ship heterogeneous model is proposed in this paper. Firstly, the multi-element process knowledge graph is constructed, and the heterogeneous ship model is described in a unified way. Then, the multi-strategy ontology mapping method is applied, and the semantic expression between the process knowledge graph and the entity model is realized. Finally, by obtaining implicit semantics based on case-based reasoning and checking the similarity of the matching results, the case knowledge reuse is achieved, to achieve rapid design of the process. This method provides reliable technical support for the design of ship component assembly and welding process, greatly shortens the design cycle, and improves the working efficiency. In addition, a case study of the test model is carried out to verify the feasibility and efficiency of the proposed method.

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