Multi-sensor Intelligent Environment Aware Tag Based On Wireless WIFI

In China,with the aging of population and the trend of miniaturization of family structure,the number of middle-aged and elderly care institutions and the number of elderly living alone is increasing year by year.The event that the old man falls down was not found in time and leads to catastrophe.In view of the high incidence of unintentional injuries among middle aged and elderly people,effective prevention interventions should be adopt to reduce the occurrence of unintentional injuries.At the same time,the proportion of medical staff and beds,chronic diseases in most hospitals in our country is seriously insufficient,it causes the medical staff to work for a long time,easy to cause the work mistake,and the patient has the accidental death.For infectious diseases,it is easy to cause the infection of medical staff.In view of the high incidence of daily monitoring and accidental injury,a new monitoring method is urgently need,It not only can reduce the risk of infection of medical staff,but also can monitor the state of patients more quickly and efficiently.Therefore,it is necessary to establish a complete remote environment perception system to monitor the daily activities of the elderly and the patients and the surrounding environment.Through analyzing the existing problems of the existing environmental data sensing devices,this paper designs and implements a multi-sensor intelligent environment aware tag based on wireless WIFI.It makes full use of the advantages of wireless sensor network and WIFI communication technology,combined with the Internet big data platform to carry out multi-dimensional and real-time monitoring of environmental parameters,and through the analysis and processing of environmental data to achieve timely warning in advance and real-time monitoring process.The main contents include:(1)It analyzes the research status of environmental monitoring equipment for the elderly at home and abroad,and studies in detail the basic principles of IEEE 802.11 WIFI transmission protocol,TCP/IP protocol and RTOS real-time operating system used in this system,and compares and analyzes the false positive rate of different algorithms and their defects.(2)It completes the design of perceptual tag hardware schematic diagram and PCB drawing,focusing on the design of power circuit,main processor circuit and sensor circuit part.(3)It completes the writing of the software code of the perception system,including the bottom drive code,the RTOS operating system code,the transmission protocol code and the task logic.(4)It completes the research and experimental verification of detection algorithm in the perception system,and focuses on the analysis of peak detection algorithm,threshold detection algorithm,vector machine algorithm(SVM)and several algorithms combined to make a comparative experiment.(5)Aiming at the problem of high false alarm rate in practical application,a personalized anomaly judgment algorithm is propose,which combines a number of innovative data analysis and processing algorithms.The algorithm to generating the prediction model integrates the environmental information.Experiments show that the system can realize remote intelligent real-time monitoring,judgment,alarm,prediction and other functions for the old people's activity data and surrounding environment.The data accuracy is up to 0.1%,and the false alarm rate is revising by about 95%.