Research on Smart City Governance and Network Management Based on Multi-Source Heterogeneous Data Fusion Processing and Analysis

The digital transformation of smart city governance is an inevitable requirement for improving the urban governance system and enhancing the modernization of governance capacity in the context of the development of modern information technology.Firstly, the semantic heterogeneity and syntactic heterogeneity of multi-source heterogeneous data are solved through the unified ontology description of multi-sensor data, and the update algorithm of sensor ontology instance, attribute fusion and feature extraction algorithm are proposed.Secondly, the ontology mapping method is adopted.Aiming at the uncertainty characteristic of multi-source heterogeneous data fusion in smart city, a decision level fusion method is proposed.A transferable data model is used to fuse multiple identification frame information to generate smart city single network management situation assessment results.Finally, the operation of urban "one network management" requires the empowerment of data and technology, from the empirical judgment type to the data analysis type, from the passive disposition type to the active discovery type, to strengthen the coordination and cooperation between departments, from decentralized governance to the overall governance.