Title :
Information Fusion Solution Based on Semantic in Multi Sensor System
Author_Institution :
Power Network Technol. Center, Electr. Power Res. Inst., Nanchang, China
Abstract :
There are different type sensors in multi sensor system in power system which causes information fusion difficulty in the process of communication between sensors. For avoiding ambiguous information, the paper proposes the automatic information fusion solution. The solution is designed based on semantic processing in information fusion which is the main innovation of the paper. The paper introduces the framework structure of the solution, details the relevant definition, mapping method and the rules for information fusion. Adopting the solution, the multi sensor system can acquire more accurate, comprehensive and finer global information, and at the same time the solution can ensure the system´s security.
Keywords :
fault diagnosis; ontologies (artificial intelligence); power engineering computing; power plants; power system control; power system reliability; sensor fusion; fault diagnosis; information fusion solution; mapping method; multisensor system; power equipment online control; power plant condition monitoring; power system; semantic ontology; semantic processing; sensor communication; information fusion; multi sensor system; power system; semantic ontology;
Conference_Titel :
Information Science and Engineering (ISISE), 2012 International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-5680-0
DOI :
10.1109/ISISE.2012.73