The present application relates to the technical field of
data processing, and especially relates to a data collection and
report generation method, medium and equipment, a general access strategy is obtained by analyzing a reference collection node, target collection nodes are screened based on the general access strategy and text data is collected, irregular nodes are removed from the source, and corresponding measures are taken in time when irregular behaviors of the nodes are found, so that the compliance of the collection nodes and the continuity of the collected data are guaranteed; a pre-trained
large model is used to analyze the text data to generate an attribute information set, so that the analysis efficiency and accuracy are improved; according to target network site information update time, the multi-source attribute information of a
data subject is verified, multi-site data conflicts are accurately identified, and the subject
information consistency and the integrity of the feature portrait are ensured; the
feature description data of the target identification code and the feature portrait are subjected to
similarity matching, multi-source
network data is converted into a structured report available for a third-party
system, and reliable data collection and
report generation are realized.