The workflow technology of spatiotemporal object generation for vector map data
To address the current challenges related to the insufficient universality,flexibility,and reusability of methods for generating spatiotemporal objects from vector map data,this study proposes a workflow technology framework.This framework aims to generate spatiotemporal objects effectively from vector map data.Firstly,the process of generating spatiotemporal objects from vector map data is divided into three levels:file parsing,spatiotemporal object construction,and data persistence.In the file parsing layer,multi-feature parsing of vector map data is performed to obtain original attribute information.In the spatiotemporal object construction layer,each geometric element is further encapsulated into spatiotemporal objects.In the data persistence layer,spatiotemporal objects and their associated mapping sets are batch-stored.Functional connections and information transmission between layers are based on workflow engine variables.Secondly,the above framework is implemented in the external task mode of the Camunda workflow engine,with 5 functional nodes and 6 engine variables designed at three levels.This design allows for modularization to accommodate different task requirements.Finally,using 6852 farmland vector data from Dade Town,Chongqing City,and 3306 trajectory records from a taxi as examples,the independent function,multi-node splicing,and full-function spatiotemporal object batch generation tasks of each node were tested.The results indicate that the research findings can achieve various custom tasks related to generating spatiotemporal objects from vector map data with minimal human intervention.This approach enhances the flexibility and reusability of spatiotemporal object generation.
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