The application provides a
cockpit implementation method and
system based on emotion enhancement and
scenario service flow intelligent agent, and belongs to the technical field of automobile intelligent cockpits. The method comprises the following steps: acquiring multi-
modal data of a target user in real time, fusing the multi-
modal data to generate comprehensive user states, planning a
service flow based on
scenario semantics and the user states, and generating and outputting action execution instructions of internal and external resources according to the
service flow. Through multi-
modal deep fusion and
scenario semantic understanding, the application can accurately capture user states and demands, provide the most suitable service at the most appropriate time, and change passive response into active care. The application sets a user memory vector
library to continuously learn and adapt to user preferences, provides a truly 'thousand faces for a thousand people' service, and as the use time increases, the service accuracy and
user satisfaction present a continuously rising curve, thereby solving the problem of static experience of traditional systems.