Aiming at the problems of the challenges in sharing and using equipment combat test data caused by dispersed data sources, non-uniform standards, and large data volumes, research on equipment data mining based on the Apriori algorithm is conducted. The method of association rule mining is introduced and applied to the mining of equipment test data, enabling the analysis of equipment test data and the discovery of relationships and patterns within the data. The practical results show that data mining can provide commanders with a certain decision-making basis for analyzing equipment information and evaluating the combat effectiveness of missile weapons.