## 1 Introduction  
Carrier-based aircraft are the primary source of combat capability for surface ships and play a pivotal role in establishing control over both maritime and aerial domains. Given the complex physical layout of the ship's deck, the scheduling of aviation support and flight operations for carrier aircraft significantly impacts operational efficiency. However, the high costs associated with the experimental validation of scheduling schemes pose a considerable challenge. Therefore, a simulation system that accurately replicates real-world conditions offers the most effective approach for testing and evaluating scheduling algorithms. As intelligence and complexity continue to evolve, traditional simulation platforms have become inadequate in addressing the requirements of multi-domain system collaboration and dynamic verification across multiple scenarios. The research and application of simulation platforms that integrate perception, decision-making, and control have increasingly gained prominence in the field of simulation systems. These platforms are essential for the development and testing of unmanned systems. [PERSON] et al. [1] introduced an integrated simulation platform for UAV sensing, decision-making, and control, based on real-world scenarios. They developed a comprehensive framework that includes an interaction engine, simulation rendering engine, and data processing engine, among other components. This platform provides significant support for the research and development of intelligent UAVs by incorporating real-world scenarios and electromagnetic environments. [PERSON] et al. [2] established a virtual simulation teaching platform focused on three-dimensional virtual interactive operations at the Aviation Engineering Practice Training Center. This platform offers a practical solution for higher education institutions facing limitations in real-world teaching. It not only reduces costs, but also enhances student engagement and safety during training. [PERSON] et al. [3] improved the functionality of their self-developed Easy-Laser platform by creating an efficient simulation model component library tailored to laser engagement research, significantly enhancing the platform's simulation capabilities and the flexibility of result evaluation. [PERSON] et al. [4] developed a mixed-reality vehicle-road co-simulation platform using the Unity engine, addressing safety and cost challenges in ICVIS verification and offering an innovative solution for intelligent transportation simulation. [PERSON] et al. [5] designed a satellite cooperative constellation simulation platform based on inter-satellite link characteristics, providing an effective tool for collaborative verification in large-scale constellation missions. [PERSON] et al. [6] proposed a multi-agent distributed collaborative training simulation platform that integrates a deep reinforcement learning framework with a distributed simulation system to enable multi-UAV collaborative modeling and training. Through modular design and functional requirement analysis, [PERSON] et al. [7] introduced a novel approach to enhance the quality and efficiency of test tasks, effectively addressing several bottlenecks in traditional equipment combat testing. [PERSON] et al. [8] developed a simulation platform for testing the pointing accuracy of satellite-borne data transmission antennas, achieving precise verification of satellite-to-ground and inter-satellite pointing angles, thereby providing critical testing support for complex space missions. Currently, research on carrier-based aircraft visualization technology predominantly concentrates on isolated aspects, such as carrier-based aircraft support [9; 10; 11; 12] and takeoff and landing visualization [13; 14; 15; 16]. However, there is a notable lack of visual studies encompassing the entire process of carrier-based aircraft movement on the aircraft carrier's deck during aviation support operations.