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Focusing on the development of unmanned intelligent support equipment, in order to build an intelligent and efficient support equipment system, the "task-capability" of equipment support under intelligent war conditions is analyzed. On the basis of determining four intelligent support tasks (battlefield situation perception, auxiliary command and decision making, equipment detection and maintenance, accurate material support) and nine unmanned intelligent support equipment capabilities (big data analysis and processing capability, intelligent decision making capability, multi-source data acquisition capability), the quality function expansion method based on grey correlation analysis is applied. A quality house for analysis of the capability requirements of unmanned intelligent support equipment including grey comprehensive correlation matrix was established, and the importance ranking of the capability indicators of unmanned intelligent support equipment was obtained. The importance of big data analysis and processing capability was 6.8906, ranking the first place. This capability is the basis for all support activities of the intelligent support equipment, and conforms to the winning mechanism of intelligent equipment support of "winning by intelligence". The results show that the model has good feasibility and applicability, which verifies the feasibility and effectiveness of the method in the capability requirement analysis of unmanned intelligent support equipment, and provides a strong reference for the next unmanned intelligent support equipment construction planning.