A conceptual power quality monitoring technique based on multi-agent systems

Author(s):  
S. Srivastava ◽  
S. Suryanarayanan ◽  
P. Ribeiro ◽  
D. Cartes ◽  
M. Steurer
2014 ◽  
Vol 574 ◽  
pp. 436-444
Author(s):  
Jia Fu Yin ◽  
Juan Suo ◽  
Dan Tan

A power quality monitoring information intelligent retrieval model based on ontology and multi-Agent is proposed. Combining ontology technology with multi-Agent technology, establish a four layer alliance structure of the intelligent retrieval model. At first, the function of the model for each layer has been described in detail. Then, the concrete building method of the power quality ontology knowledge base which is the core part of the model has been explained. Finally, example analysis shows the whole intelligent retrieval process. Each layer of the model uses agent alliance mode, according with the demand of intelligent retrieval; realizing the user's retrieval request with the aid of ontology knowledge base can not only improve retrieval efficiency, but also realize deep mining of the basic retrieval information. Example analysis shows that the model can realize intelligent retrieval quickly and efficiently and have certain practical value.


2014 ◽  
Vol 599-601 ◽  
pp. 1016-1020
Author(s):  
Jin Hao Wang ◽  
Chao Ying Yang ◽  
Guang Qi Mu ◽  
Dan Tan

A power quality monitoring information intelligent retrieval model based on ontology and multi-Agent is proposed. Combining ontology technology with multi-Agent technology, establish a four layer alliance structure of the intelligent retrieval model. At first, the function of the model for each layer has been describled in detail. Then, the concretre building method of the power quality ontology knowledge base which is the core part of the model.has been explained.Finally,esxmple analysis show the whole intelligent retrieval process.Each layer of the model uses agent alliance mode, according with the demand of intelligent retrieval; Realizing the user's retrieval request with the aid of ontology knowledge base can not only improve retrieval efficiency, but also realize deep mining of the basic retrieval information. Example analysis shows that the model can realize intelligent retrieval quickly and efficiently and have certain practical value.


Sign in / Sign up

Export Citation Format

Share Document