The root cause of mission safety problem is the loose combination of safety and mission, and the inadequate traction and restraint of safety by missions. Therefore, an aviation equipment mission safety model is established to study the safety events during mission execution. The definition of mission safety (MS) and the mathematical foundation of the instability domain is given based on the Safety Structure Theory (SST) and three-way decision-making theory(3WD). Factors are used to express the SHEL system and mission system, and then the atomic action factor space (AAFS) is developed to “bear” the state space of the target mission profile, and the atomic SHEL space (ASFS) is developed to “bear” the state space that describes the constraints of the mission system on the SHEL system. The mapping from ASFS×AAFS to ASFS is established, which could transform the evolution of MS into the spatial dynamic trajectory in ASFS. This model can be used in the construction of mission safety analysis platform, the evaluation and prediction.
With the reform of the new military revolution, the pace of war is accelerating, the operational environment is increasingly complex, and weapons and equipment are constantly being upgraded. How to scientifically and effectively evaluate the effectiveness of weapon systems is particularly important. In this paper, the aerospace C4ISR early warning detection system is taken as the research object, and the improved ADC method is used to evaluate its operational effectiveness. Firstly, the structure, mission requirements and functional requirements of the C4ISR early warning detection system are analyzed, and the operational effectiveness evaluation index system of the early warning detection system is constructed. Secondly, the traditional ADC model is improved by using information entropy and grey relational clustering method. The operational effectiveness of the C4ISR early warning detection system was evaluated. Finally, combined with an air defense brigade, the example application analysis and model validity verification were carried out, and relevant countermeasures and suggestions were provided for its system construction optimization based on the evaluation results.
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