Event-driven method for dynamic update of 3D city model database

Abstract

The invention relates to a method for dynamically updating a three-dimensional urban model database in an event driving way. The method comprises the following steps of: A1, defining an event type causing dynamic variation of three-dimensional urban model data, and establishing an event describing template; A2, performing data standardization operation on three-dimensional urban model data to be updated; A3, performing automatic variation detection and self-adaptive matching on three-dimensional element objects, and collecting the variation information of the three-dimensional element objects; A4, interactively adding events causing variations of the three-dimensional element objects and relations among the events; A5, updating the databases of the varied three-dimensional element objects according to an event time sequence; A6, recalculating and updating semantic topological relation data among three-dimensional space objects; A7, reestablishing and updating three-dimensional space index data; and A8, finishing updating of the three-dimensional urban model database. Due to the adoption of the method for dynamically updating the three-dimensional urban model database in the event driving way, the database updating efficiency can be increased, and space-time inquiry and analysis application of multi-temporal data are supported effectively.

Description

technical field [0001] The invention relates to the technical field of geographic space information systems, in particular to an event-driven method for dynamically updating a three-dimensional city model database. Background technique [0002] With the continuous advancement and wide application of 3D digital city construction, the focus of its work has begun to shift from the initial 3D city model data production and database construction to database update and service. The dynamic update of the 3D city model database is different from the initial data production and database construction. It comprehensively utilizes the current data from various sources to determine and measure the position change, geometric change, attribute change and semantic topological relationship change of the data. The data in the existing database is updated by addition, deletion, replacement, modification, semantic topology relationship reconstruction, etc. to generate a new version of the data,...

AI Technical Summary

Problems solved by technology

Therefore, when the 3D city model database is updated, simple data replacement and deletion are adopted, and then a new version of the database is defined, which does not effectively manage the historical model data, nor does it effectively manage the events that cause data updates

In this way, it is difficult to effectively satisfy various space-time query and space-time analysis applications, and it is difficult to express the real changes of real cities

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