| dc.description.abstract |
Carbon reduction has been the subject of concern to the world. Because of the energy price fluctuates significantly and many countries face economic crisis, it will be an important issue to conserve the energy and reduce expense. Saving energy from the family seems to be a common method. It will be greatly improved for household electricity consumption when the family can change the habits about using home appliances. But there are still many families do not follow the energy-saving behavior. The reason may include a series of obstacles such as whether the energy-saving rules are easy to implement, lack of execution, and the difficulties of the rules making the daily behavior become difficult. Therefore artificial intelligence and automation technology is particularly important. In this regard, this paper attempts to establish an energy-saving ontology model based on Ontology, and uses its extended language SWRL (Semantic Web Rule Language) for describing the rules of energy-saving to establish the knowledge base.
In this paper, first we collect the knowledge of energy-saving both at domestic and abroad and analyze the parameters in each rule. We design the properties of appliances, room, environment and energy-saving rules by UML (Unified Modeling Language) and define the association between each properties, then transform it into the ontology model. Secondly, we use SWRL to describe the energy saving rules which we analyzed previously. Finally, the results are deduced by Pellet and SQWRL. This study also simulates a situation for testing and verification. The test results show that this model and SWRL rules can correctly determine the appliances that don’t conform the energy-saving rules. Through the study of the energy-saving ontology model designed to allow users to easily manage the home appliances, that electrical location, status, electricity situation. The energy-saving ontology model designed by this study allows users to easily manage the electrical appliances at home, and know the location, status and power consumption of the appliances. | en_US |