Research And Design Of A Hospital Location And Information Interaction System Based On WIFI

In today's society,with the increasing population and the problem of aging population,people's demand for medical services is gradually increasing,which has put tremendous pressure on hospital management and services.The construction of hospital positioning and information interaction system can improve a hospital's comprehensive management level and medical service level,and make full use of the existing limited medical resources,which is an important part of modern hospital construction.The positioning and information interaction system in the hospital includes three parts: system hardware,positioning module and information interaction module.The system hardware implements the transmission and reception of the Wi Fi signal,the positioning module implements the indoor positioning function,and the information interaction module implements the information interaction function.In this thesis,the Wi Fi signal is collected,and the collected data is calculated by the improved Wi Fi fingerprint localization algorithm to obtain the position information.The position information is interacted by the hospital positioning and information interaction system software.This thesis has three major tasks,one is to develop mobile phone Wi Fi signal acquisition software based on Android operating system;the second is to improve the fingerprint localization method based on Wi Fi signal;and the third is to design the hospital positioning and information interaction system and carry out software development.The main work of the thesis is as follows:1.Using the Java language on the Android Studio development platform,developed the mobile phone Wi Fi signal acquisition software.The characteristics of the collected Wi Fi signal are analyzed.The RSSI values of the time-varying Wi Fi signal are preprocessed by means of mean filtering.The logarithmic attenuation model is chosen as model of the relationship of signal strength and AP distance.2.An optimization scheme of offline location fingerprint database based on the strongest AP clustering feature is proposed.The number of reference points matching in the online positioning phase is reduced without changing the number of reference points.The original fingerprint database and the optimized fingerprint library positioning experiment are designed.The experimental results show that the optimized fingerprint database can reduce the matching time and improve the online positioning speed.3.The reference point weights are improved for the online positioning WKNN algorithm.The contrast experiments are designed: the online positioning test is performed by NN,KNN,WKNN and the improved WKNN algorithm proposed in this paper.The results show that the proposed improved positioning algorithm performs best in terms of positioning accuracy and positioning stability.4.Design indoor positioning and information interaction system and carry out software development,and realize some core functions.