| Smart home,as a landmark product in the age of science and technology,is developing vigorously under the background of the Internet of everything.Intelligent home system has been fully applied in the field of private home,but there is no mature application case in college dormitory scene.If the smart home system can be introduced into college dormitory life,it will largely solve the problems of resource waste,safety hazard,and significantly improve the quality and efficiency of students’dormitory life,finally create a harmonious dormitory living atmosphere.In addition,the government’s increasing emphasis on talent training and increased investment in college construction make it possible for smart home system to enter the campus.Different from the common family scene,college dormitory scene has the characteristics of small space,more equipment in unit room,and there is a strong demand for multi-person collaborative intelligent control.Based on this background,this paper designs the intelligent device control system under the scene of college dormitory.The main work contents are as follows:(1)In order to provide college students with more humanized automatic control function of intelligent devices,the system adds indoor positioning function to assist system in adjusting device status according to personnel location information.Different from the general requirements of highly fine-grained indoor positioning,the intelligent device control system is more inclined to efficient and coarse-grained regional positioning.Therefore,this paper investigated the application status of indoor positioning algorithm in the field of smart home,selected the optimized INOA indoor positioning model,and used missing value compensation and gradient normalization algorithm to compensate for Wi-Fi fingerprint differences caused by different terminal signal receiving devices.In addition,problem of Redundant Access Point(AP)is solved by AP selection algorithm based on AP stability and difference.2)Based on user location information combined with time,temperature and user preferences,the system develops automatic control strategies for intelligent devices to meet the collaborative control requirements under the unique dormitory scene of small space,multiple devices and multiple personnel.Intelligent devices such as air conditioners,ceiling lights,table lamps and curtains are controlled to realize intelligent regulation of light and temperature.In addition,the administrator side integrats model management,dormitory personnel management,intelligent device management as a whole,optimizing the current dormitory management system.3)Completing the development process of the whole system.In order to reduce the hardware cost and system update cost of the administrator,the administrator system adopts B/S architecture based on Bootstrap framework.Indoor positioning and smart device control of ordinary users need to rely on the hardware of smart phones.Therefore,the Bottom Navigation framework provided by Android Studio is adopted by the common users system.The system server is divided into data server and function server,using Gin framework and Flusk framework respectively.The common users system mainly includes Wi-Fi signal acquisition,intelligent device control,personnel and equipment information management functions.The administrator system provides functions such as indoor location dashboard,intelligent device status query,dormitory personnel management,and statistical analysis.Through the actual test of the system,the accuracy rate of automatic adjustment of equipment status caused by the change of personnel position is more than 85%,and the time of updating indoor positioning model is less than 5 minutes.Moreover,users have good feedback on the usability of the system.This system basically meets the needs of intelligent devices control in the dormitory scene,and provides a solution for the intelligent device system to enter the college dormitory life. |
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