Abstract
Abstract The massive data in the industrial big data field mainly comes from a large number of sensors. Sensor data is discrete numerical data with heterogeneity. In scenarios such as edge computing, it is often necessary to mine the relationships between the data in the data stream so as to realize the full use of heterogeneous sensor data. Because the sensor data does not contain contextual semantic relations, the relationship between the data is difficult to be discovered. Aiming at the above shortcomings, we design and implement a semantic gateway with semantic annotation function. The original sensor data will become RDF data with semantic information after being processed by the semantic gateway. Our work is mainly divided into two aspects: according to the source and actual characteristics of the data, we choose to carry out the semantic work based on the SSN ontology; next, we propose an OB2R algorithm to realize the semantic annotation function of the data, and the correctness of the algorithm is verified on the PHM2010 dataset.
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