Methods, systems, equipment, and media for processing multi-source sensing data in digital airspace

Abstract

This invention relates to the field of information processing technology and discloses a method, system, device, and medium for processing multi-source sensing data in digital airspace. The method includes acquiring real-time and historical multi-source sensing data collected by a UAV during power line inspection via a digital airspace system; processing the real-time multi-source sensing data using a multimodal representation learning method to obtain labeled data, and combining this labeled data with the historical multi-source sensing data to generate a first knowledge graph; performing difference calculations on the real-time multi-source sensing data based on the historical multi-source sensing data, and filtering the real-time multi-source sensing data according to the calculation results to construct a second knowledge graph based on the filtered real-time multi-source sensing data; and inputting the first and second knowledge graphs into a machine learning model for processing to obtain multi-source sensing processed data; thereby improving the comprehensive, accurate, and efficient utilization of multi-source sensing data.

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