Fecha de publicación: 30/07/2024 Fuente: Wipo "BigData" The invention provides a multivariate data fusion system and method based on a big data environment, the multivariate data fusion system comprises a master station and substations in network connection with the master station, and the master station comprises a data acquisition module and a data storage module; a data analysis module, a data classification module and a data query module; the data acquisition module is used for acquiring data from the data storage module and transmitting the acquired data to the data analysis module for analysis, the data analysis module transmits the analyzed data to the data classification module for classification, and the data query module is in communication connection with the data classification module and is used for querying the classified data; the substation comprises a data uploading module and a node generating data, and the data uploading module is used for obtaining the data from the node generating the data and uploading the data to the data storage module. The data generated by each substation node is obtained through the master station, and the data is analyzed and fused, so that enterprises, colleges and research institutions are helped to utilize data resources more effectively.