ONLINE INFERENCE METHOD, SERVICE SYSTEM, AND DEVICE BASED ON AN ARTIFICIAL INTELLIGENCE GEOSPATIAL DATA CUBE

The disclosure pertains to the field of data analysis and services, specifically to an online inference method, service system, and device based on an artificial intelligence geospatial data cube. The method involves constructing a cube organizational model based on a spatiotemporal grid, where the cube organizes and manages geospatial data and GeoAI models in a unified manner. It performs task-oriented model matching through a combination of explicit and implicit matching, where explicit matching converts user inference requests into multidimensional query conditions to retrieve candidate models, and implicit matching determines the optimal model by computing the feature similarity between inference data tiles and candidate models. Based on a distributed inference framework, an efficient inference workflow is executed in parallel across multiple computing nodes. The disclosure aims to address the limitations of existing technologies in multi-scenarios or large-scale spatial scenarios, such as low inference accuracy and slow inference speed.