The Study For Energy-saving Applications Based On The Building Electrical Equipment Internet Of Things

With the rapid development of Internet of Things(IOT) technology, its application in the field of architecture is more and more widely, and the concept of the electrical equipment IOT comes into being. It has great significance for satisfying the demand for people’s living and working environment. With the emergence of electrical energy-saving technology, people pay more and more attention to the rationalization of the energy-saving, namely the oriented energy-saving, but in current, the research in this area is not in-depth. On the other hand, the data generated by the electrical equipment IOT contains a large number of demand information and energy consumption laws. How to make use of the data generated by electrical equipment IOT for energy-saving optimization is an urgent problem to be solved. In this paper, we do some researches in the area of energy-saving applications based on the data of IOT, and put forward a kind of an oriented demand expert control energy-saving strategy based on data mining, and make the design for its software and the user interface. Detailed research contents are as follow:Firstly, in this paper, it analyzes the energy-saving applications of the electrical equipment IOT. It designs the database of the electrical equipment IOT, and realizes the data storage and management. It provided the data support for the association rule mining.Secondly, it expounds the basic concept, the classification and the process of the association rule mining. According to the requirements of the users, we completes the oriented demand energy-saving association rules mining, and establish the expert control system knowledge base of the lighting and air conditioning system of the electrical equipment IOT.Finally, in this paper, it designs and implements the oriented demand energy-saving expert control system of the electrical equipment IOT. It completes the demand analysis of the expert control system and gives the overall structure of the system. It designs the reasoning mechanism of electrical equipment IOT expert control system and realizes the on or off expert control based on the people’s coming or leaving. It designs the software system, and allows the users to set the parameters according to their own needs. It realizes the oriented demand expert control and completes the design of the user interface.At present, the study for energy analysis based on the data is still in the primary stage. In this paper, the research on the oriented demand energy-saving applications has achieved some results, but there is still need to be improved in the future.