吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (2): 645-652.doi: 10.13229/j.cnki.jdxbgxb201502046

• Orignal Article • Previous Articles     Next Articles

Supervisory control model based on semantic knowledge

GU Hai-jun,CUI Qi-fan, MA De-hua, MENG Fan-yong, ZHAO Xiao-hui   

  1. College of Communication Engineering, Jilin University, Changchun 130012, China
  • Received:2013-06-13 Online:2015-04-01 Published:2015-04-01

Abstract: In order to improve the intelligence of the supervisory system, thus to transfer the supervisory control from device-oriented mode to custom-oriented mode, a monitor model, named Semantic Knowledge Based Supervisory Control Model (SKBSCM), is presented. In this model the Resource Description Framework (RDF) is used to describe data, and semantic knowledge based rules are employed for reasoning. The model automatically integrates the collected data and the user preferred information, perceives users' need, and takes the initiative to generate the most reasonable solution on the environment context. The proposed SKBSCM model is applied to the smart-home field. Experiments on some daily living activities show that the model greatly improves the users' experience feeling.

Key words: computer application, supervisory control model, semantic, reasoning, customer-oriented

CLC Number: 

  • TP391
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