| As China’s rapid and sustainable socio-economic development, the energy needsof the community is bigger and bigger. According to the statistical data, airconditioning energy consumption has occupied20percent of total national electricityconsumption. In order to create a good learning and living environment of campus, airconditioning spreads in student apartments and teaching buildings rapidly recent yearsin universities. National university’s statistics data indicates that the average airconditioning electricity consumption has occupied29.3percent of total electricityconsumption in universities. It can be seen that energy saving technology of airconditioning is very urgent and necessary. Air conditioning energy savingmanagement system is one of the essential technologies to achieve air conditioningenergy saving.According to the research status of domestic and overseas, air conditioningenergy saving system is largely aimed at central air conditioning in large publicbuildings. However, the split-type air conditionings in campus are not easy to manage,compared with central air conditionings because split-type air conditionings are moreindependent. In this paper, we developed an air conditioning energy savingmanagement system based on ZigBee and WIFI technologies and this system is madeup of air conditioning energy saving controller and air conditioning energy savinginformation service platform. This article expound the implementation of the campusair conditioning energy saving management system from the overall design and keytechniques of the system, software and hardware design and functional design of airconditioning energy saving controller, functional design and SSHE framework of airconditioning energy saving information and service platform.Meanwhile, on the basis of the application of energy conservation managementsystem, this paper proposes a method on campus air conditioning energy saving onthe basis of Apriori algorithm applying association rule mining technology of datamining. This method gets data that can be use in association rule mining throughpre-processing of data which is collected by air conditioning energy saving controller,and gets association rules applying Apriori algorithm. We can use association rules toadjust control strategies of air conditioning energy saving controller to achieve thepurpose of energy saving. |