Fire Control System Operation Status Assessment Based on Information Fusion

In order to solve the problem of the effective use massive and disorderly data in the integrated detection system of fire control system and to reduce the uncertainty of the fault diagnosis result of weapon fire control system by using a single parameter in the traditional fault diagnosis method, this paper proposes D-S evidence theory, combining rough set information fusion method to identify the type of state in the system operation. The concepts of equivalence attribute and evidence decision of coefficient are defined separately: the attribute reduction of fault information extracted by rough set is used, the evidence synthesis method based on evidence trust degree is defined, and the final state type is obtained. The results of test and evaluation based on the typical state data of the actual fire control system show that the conclusion obtained is basically consistent with the judgment of prior knowledge, which verifies the effectiveness of the proposed method in assessing the operating status of the system.