Unique identification and distributed retrieval method for tree entities in digital twin plantation forest farms

Abstract

The present invention provides a unique identification and distributed retrieval method for tree entities in digital twin plantation forest farms. The method features global uniqueness, location correlation, and distributed scalability. The GeoSOT code is generated based on longitude and latitude coordinates of tree entities, ensuring that tree entities at the same spatial location have a unique code and trees at different locations have non-repetitive codes, to realize the unified identification of tree entities across data sources and management units. By using a GeoSOT code as a row key of an HBase database and constructing a composite index with tree attributes, complex spatial range queries are converted into efficient row key scans and point queries, significantly improving query efficiency by 1-2 orders of magnitude. The distributed storage architecture based on HBase supports horizontal scaling, which can meet the storage and concurrent access needs of massive tree entity data, providing a reliable technical foundation for dynamic monitoring, real-time analysis, and decision support in digital twin forest farms.

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