Passenger Location And Management System Based On NB-IoT

With the gradual improvement of the living standards of our people,people's demand for travel is growing stronger,and the number of tourists at various attractions has skyrocketed,making it more difficult for tourists management.In particular,some popular attractions with large areas and big tourist traffic are prone to have life threatening accidents.At present,the domestic tourists management still stays in the traditional modes that needs more improvements.The problems are mainly following:first,unable to obtain the location of tourists in time;Second,unable to accurately locate the tourists' location in space;Third,the scenic spot management personnel cannot obtain the accurate tourist density in each area of the scenic spot;Fourth,unable to predict the trend of tourist flow in the scenic spot,which makes it difficult to predict and intervene in safety accidents such as stampede beforehand.This system focuses on the vacant part of the traditional scenic spot management mode,by using the high-precision GNSS(Global Navigation Satellite System)positioning technology to obtain the tourist location and upload it in real time,with the low-power,low-cost,high-coverage,large-capacity connection NB-IoT(The Narrow Band Internet of Things)communication technology transmitting tourist location information to the tourist location management platform to achieve the scenic spot tourists' information management.Firstly,the tourist needs to wear an electronic badge with positioning and communication functions.The electronic badge can obtain tourist location information through GNSS positioning technology and send the tourist location information to the tourist positioning management platform through the NB-IoT network for data analysis and processing.The results will be used to alarm and guide the flow of people in the scenic spots.Meanwhile,various information management such as personnel information management,real-time tourist positioning management and linkage alarm management can be carried out on the tourist positioning management platform.The NB-IoT technology is used to achieve the aggregation of large-scale tourist location data,which can improve system compatibility and anti-interference ability.By analyzing and processing the aggregated data through the server and generating tourists by using the real-time location information of the tourists to form the thermal map of tourist density and historical map of tourist movement so as to realize the intelligent management function of the tourist positioning management system.In this thesis,the multivariate linear regression algorithm is used to establish a predictive model to predict and analyze the tourist traffic in the scenic spots,thus to realize the forecast of the tourist traffic in the scenic spots.The parameters tested by the obtained models show that this model has a relatively accurate forecasting ability,and can provide managers with more accurate and reliable tourist flow forecast information in the scenic spot managementThe tourist positioning management system can obtain the tourist's location information,time information and scenic spot tourist density information in real time,and realize the information management of the scenic spot personnel and equipment and the scenic area security event alarm.Compared with the traditional tourist management system,this management system has significantly improved the safety management level of scenic tourists,and it is of great significance to promote the standardization process of tourist management.