Abstract
In view of the unavoidable degradation and damage to the performance and stability of military, medical, transportation and industrial equipment in the process of daily use, especially after long-term operation or shutdown, and the maintenance personnel cannot be timely in place, an intelligent recommendation technology or program for remote maintenance of equipment based on multi-modal data learning is studied. Multi-modal data such as text, pictures and videos are integrated. Based on image recognition and learning of multi-modal data, intelligent recommendation of remote maintenance solutions can be realized when maintenance personnel cannot arrive in time.
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