The invention provides a
label structure adaptive reconstruction
system, and aims to solve the problem of
label system adaptation caused by
data source structure change in existing data
label management. The
system comprises a data receiving interface, a structure cache module, a structure difference detection module, an
adaptation strategy decision module, a label updating execution module, an approval and
rollback module and a system synchronization module. Through standardized
data acquisition, field path extraction and structure signature generation and comparison, the system efficiently identifies
data structure differences, and formulates a label
adaptation strategy based on three difference types of addition, deletion and type change. The strategy is synchronized to an external system through transactional updating and a two-stage submission protocol, and the consistency of a label system and a
data structure is ensured. The system supports historical version tracing and
rollback,
data management continuity and stability are improved,
data application efficiency is remarkably improved, and the method is suitable for scenes such as databases,
the Internet of Things and industrial control.