| With the rapid development of social economy in China.the problem of energy shortage has been more and more serious.The rapid construction of colleges Whose the building area is getting biggeR and bigger makes the building energy consumption account for a large proportion of the total social energy consumption.How to realize the real-time monitoring and tnely management of campus energy consumption has become an important task facing the releant management departments of colleges and uniersities.and is also the impotant part of building a conservation oriented society.In order to better monitor the energy consumption of campus buildings and realize the quantitative management.this paper designs and implements the campus energy saing supervision platform.which realizes the goal of real-time monitoring of campus building electricity consumption.Firstly.this article mainly systematically analzes and summarizes the current situation of domestic energy resources.and the research status of building energy consumption and energy saving control in colleges.Then the main reasons for the waste of energy on campus.and the current situation and existing problems of the campus energy saving supervision platform are discussed.Moreover.the system structure,design goals.design basis and the application environment of the energy saving supervision platform are analyzed.This paper mainly analyzes the characteristics of the university buildings and the characteristics of the electricity consumption,and designs an energy saving supervision platform based on this.The platform system mainly includes four subsystems:data acquisition,data processing,data storage and energy consumption display.Secondly,the platform data acquisition and data processing subsy stem are designed.It is composed of data analysis module,energy consumption audit module and energy consumption early warning module,in which the energy warning includes two parts:electricity warning and water warning,the expert system is used to implement the early warning function,and the realization of early warning function and the running process of platform.Early warning cases are analyzed to provide basis for campus abnormality management in campus logistics management.Meanwhile,the electrical energy metering subsystem and composition of the database are studied.In addition,the user display interface of the platform is designed and laid out through UI to display the results of data analysis through Web.Then the decision tree ID3 algorithm is used to establish the classification model of the building electricity data under different categories,and calculate the test attributes of the maximum information gain,which is based on the management of the power consumption of the campus.and pro\ides a more reliable basis for the management of the campus power use.The grey correlation degree model is used to predict the energy consumption of the building,and the evaluation results are compared with the actual electricity consumption after the implementation of the energy saving measures.It provides a reference for the long-term electricity planning of campus buildings.Finally,some application functions of the energy saving supervision platform are demonstrated by web.In the application function of energy consumption data analysis,the electricity consumption data of the library,dormitory building and complex building are analyzed by the preliminary electricity mode.and the corresponding energy saving measures are formulated.In the early warning function of energy utilization.a number of outliers are detected and maintained,which achiees the purpose of energy saving and emission reduction. |