人工智能蓝牙操控系统应用技术的电灯光照亮操控系统

无锡职业技术学院毕业设计（论文）说明书people's habits,people also expect different lighting effects to meet different living scenes,while maintaining high efficiencyand energy saving.In recent years,the lighting system combined with intelligent terminals has developed rapidly in the era ofmobile Internet.nder the backgrond of the innovative project "EcoxLight Lighting Control System Based on Internet ofThings"of Chongqing Perceived Ward Technology Co.,Ltd.,this paper stdies and designs intelligent lighting system basedon.The main work and innovation are as follows:Firstly,the intelligent lighting client software based on isdesigned and developed.sing programming and 4.0 instant messaging technology,an intelligent lighting clientapplication with dimming.color adjstment,timing switch,cstomization of living scenes and other fictional modles wasdesigned.The client realizes real-time control of lamps and lanterns throgh friendly man-machine interface.Considering thatthe intelligent lighting system designed in this paper needs one-to-many commnication eglarly,a commnication schedlingalgorithm based on energy priority is proposed at the software end,which increases the cooperative working time of eachdevice node.The client software has simple operation,friendly interface and high stability,so the system has a very wideapplication market.Then,aiming at the disadvantage of poor adaptive dimming of intelligent lighting system,an adaptivelighting algorithm based on neral network is proposed.By introdcing the neral network algorithm into the intelligentlighting system,the illmination eqSBpment can adjst its brightness adaptively according to the srronding environment andser's habits.Firstly,according to the principle of neral network,the appropriate data parameters are selected,then theneralnetwork model is constrcted,and the experimental data are inpt into the model for training.Finally,the brightness predictionalgorithm proposed in this paper is simlated and verified on the simlation platform.The simlation reslts show that thepredicted brightness data is within the acceptable error range compared with the ser's expected brightness data,which savespower to a certain extent.keyword:,Commnication,Neral Network,Adaptive Lighting