The Design And Research Of Intelligent Senior Apartment

At present,our country has entered an aging process and has entered a stage of rapid development.It has become one of the world's major countries with an elderly population.The level of information technology application in the traditional pension industry system is low,and a revolutionary update is urgently needed.With the highly popular Internet of things(IOT)technology and the rapidly developing network communication technology,smart home solution designed to allow the elderly to live in a comfortable and convenient home environment while taking into account the health and safety of the elderly is designed for a residential environment suitable for the elderly.feasible.The smart elderly apartment is actually an extended application for the smart pension industry in the smart home industry chain.It must first meet the intelligent home security,.lighting,home appliances,entertainment,energy saving and other functions,while taking into account the special requirements of the elderly's physiological characteristics,such as physiological monitoring,health reminders,and fall prevention.The system uses ZigBee technology to wirelessly transmit information,MT7681 sets up bridged communication between WiFi and ZigBee,the control terminal and the Android mobile terminal to realize local or remote terminal monitoring,which can meet the basic requirements of smart elderly apartments.Health monitoring is mainly about monitoring of body temperature and pulse physiological parameters as well as fall detection and alarm.The main work of this paper is to design an overall plan for these two aspects,which covers two subsystems:the daily living system of the elderly and the health monitoring system.Based on the "wisdom instead of software" concept,the software and hardware design of the system's five device nodes,device gateways and mobile control terminals is completed.The main contributions and innovations of this article:1.Propose a planning design for a smart elderly apartment,introduce an advanced smart home system,and establish a health monitoring platform.2.The circuit design of the backplane is improved,and the serial connection between the MT7681 and the CC2530 core board is realized.3.Combine the acceleration vector amplitude and pitch angle change range to make a fall judgment,and use Kalman filtering to fuse acceleration and angular velocity to improve the accuracy of fall detection algorithm.