The application discloses an intelligent
fishing auxiliary system based on multi-
source data fusion, and belongs to the technical field of intelligent
fishing, solves the problems of data fragmentation, insufficient
personalization and poor interactive experience in the prior art, and is suitable for
fishing applet agent intelligent body development. The
system comprises a
data acquisition module, a
data processing module, an AI core module, a function output module, an interactive management module and a companion interaction module which are connected in sequence and form a bidirectional data interaction
closed loop. The
data acquisition module synchronizes multi-
source data in real time, the AI core module adopting a CNN+
Transformer hybrid architecture completes whole-process decision calculation such as fishing ground recommendation and fish condition analysis after the multi-
source data are cleaned and fused by the
data processing module; the interactive management module realizes
natural language multi-round interaction and conversation management; and the function output module outputs structured data for applet rendering. The application significantly improves fishing decision efficiency and success rate, realizes full-dimension personalized customization, and the average fishing success rate of users is improved by 70%, and the threshold for beginners to start fishing is reduced by 80%.