This paper focuses on the application of information support in the aerospace equipment system during aerospace missions. It thoroughly delineates and analyzes the composition of both the aerospace equipment system and the aerospace mission system. Subsequently, drawing from the widely prevalent constraint theory in production and manufacturing bottleneck management, it proposes a bottleneck identification method based on the penalty cost of delay time and delay frequency as the objective function, aiming to locate the bottleneck hindering the enhancement of the efficiency of the constraint system. Finally, it conducts research on identifying bottlenecks in information transmission efficiency based on typical task processes of space-based information systems. The subsequent step will involve further designing a specialized Genetic Algorithm (GA) for searching optimal bottleneck resolution solutions, targeting system optimization in a cost-effective manner to maximize returns. This will serve as a quantitative tool for identifying system efficiency bottlenecks.