Remote configurable data model fusion method based on unreal engine

Abstract

The invention discloses a remotely configurable data model fusion method based on an unreal engine, and the method comprises the following steps: a project template is made in the unreal engine, the project template comprising a parameterized model library, a model material library, a remote model configuration module, an HTTP protocol module and a model dynamic loading module, and a plurality of models is made vin the parameterized model library; the remote model configuration module configures model parameters of all models prefabricated in the parameterized model library; the unreal engine obtains model parameters of all models needing to be configured in the application scene through the HTTP protocol module; the model dynamic loading module loads the model into an application scene; and the model dynamic loading module matches the parameter attributes with the model. According to the invention, data and model fusion interaction can be configured remotely, and the defect that existing unreal engine data model interaction fusion can only be configured locally is overcome.

Description

technical field [0001] The invention relates to the technical field of building information automatic modeling, in particular to a remote-configurable data model fusion method based on Unreal Engine. Background technique [0002] The existing Unreal Engine (UE) fusion interaction method with the data model is to directly write data in the Unreal Engine or based on a local data table. The way of writing data directly in Unreal Engine is the most direct way to integrate and interact with the data model. It can write the required data into the program as quickly as possible, and has the advantage of high efficiency in reading data. However, when the amount of data reaches a certain scale, such a method of directly writing data will be very cumbersome when writing data, and a systematic writing process cannot be formed. [0003] The data model fusion interaction based on the local data table can unify the data reading source. As the name implies, the data table is a table that ...

AI Technical Summary

Problems solved by technology

[0004] The above two methods of fusion and interaction of data models are based on local data sources, and the data cannot be configured remotely to complete the fusion interaction of data models.

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