Research And Application Of Intelligent Building Electricity Network

With the rapid development of the national economy,social power consumption has surged.As an important part of social load,the total energy consumption of electrical appliances in buildings is huge,especially the high-power electrical appliances such as air conditioners and water heaters.At the same time,the waste of electricity caused by improper operation and fault of electrical appliances is very common in modern buildings.Therefore,effective energy efficiency management technology is urgently needed for building electricity consumption.However,existing buildings lack effective monitoring and control methods for electrical appliances.Therefore,users cannot interact well with electrical appliances,and it is difficult to achieve sophisticated energy-saving management.To solve these problems,this paper conducts research and engineering applications of intelligent building electricity network.Its main contributions are as follows:Firstly,the concept of intelligent building electricity network and the four-layer-function of informed,control,optimization and sharing are proposed,and the key research contents of each layer are clarified.The hardware and software architecture of the intelligent building electricity network are developed,including the key hardware,learning infrared controller,and intelligent electricity APP.Secondly,the concept of scenario-based building operation automation is proposed.Key research contents like scenario perception,power demand analysis and equipment operation automation technology are studied.Based the modelling of building power consumption scenarios and the analysis of power demand for electrical appliances by continuous using time and power distribution situation,the operation automation scheme of electrical appliances is formulated.Thirdly,fault perception of air conditioners,which have the largest proportion of electricity consumption,is proposed.That is also essential for intelligent operation and maintenance of buildings.Two fault perception methods,which are based on approximate first-order thermal equivalent model and support vector data description(SVDD)respectively,are proposed.Both methods use the collected data of the intelligent building electricity network,and have good performance for air filter’s dirty plug.Fourthly,the actual engineering application are constructed in a building in Hainan.Relying on the intelligent electricity APP,the connection between users and appliances are fully interacted.The construction achieved good energy-saving effects.