Research On Central Air Conditioning Control System Based On Neural Network Control System

With the improvement of people's living standards,people's pursuit of quality of life is getting higher and higher,functional demand is no longer the goal of life service products.Especially in the 21 st century,the development of intelligent concepts makes people exposed to an unprecedented experience,the traditional products and services can not meet people's needs for quality of life.Based on this,this article will also study how to use the current artificial intelligence technology to achieve the central air-conditioning intelligent,to meet people's high-quality air conditioning services needs.The following is my main work in this article.First,In order to achieve the intelligent of air conditioning,this paper studies the state-of-the-art deep learning.In the second chapter,this paper focuses on the theoretical basis of the deep learning and the theory of intelligent technologySecond,for the energy saving and environmental protection issues involved in the operation of the air conditioning system,this paper studies whether or not to change the operating state of the air conditioner by detecting whether it is in the indoor scene.That is,When nobody is in the scene,the air conditioning system into the standby state to achieve energy savingsThird,aiming at the problem of temperature adaptive adjustment of air conditioning,this paper studies the CNNs and RNNs of depth learning techniques.Try to establish a prediction model that can master the rules of data by learning the existing knowledge and can predict the temperature adjustment expectation according to the historical dataFourth,this paper studies the latest autoencoder feature extraction algorithm for the problem of high data dimension involved in the model studied in this paper.Try to use the algorithm to extract high-dimensional image data characteristics,and thus achieve the purpose of reducing dimension.Fifth,for each algorithm,this paper has carried out the corresponding experimental design and experimental analysis,in order to verify the effectiveness of the model.