With the continuous advancement of modern science and technology, multi-platform avionics systems are playing an increasingly important role in collaborative tasks and resource scheduling. Traditional single-platform avionics systems exhibit significant shortcomings in performance, scalability, and resource sharing, making them unable to meet the requirements for systematized collaboration and efficient scheduling in future applications. This paper addresses the issues of heterogeneity, dynamics, and high coupling in multi-platform avionics systems by proposing a resource servitization method for such systems. This method realizes semantic abstraction and unified description of resource functions through a three-layer ontology modeling of resource, capability, and service, and designs a multi-level service management framework to support cross-platform resource discovery, invocation, and composition. Finally, in combination with a typical joint search task scenario, this paper constructs a prototype system and conducts function and performance verification. The experimental results show that the proposed method can effectively improve resource utilization and cross-platform collaboration efficiency, and can still ensure low response latency and high system stability in the case of node scale expansion and increased communication load, providing strong support for efficient collaborative operations in multi-platform systems.
Cai et al. (Thu,) studied this question.