Design And Implementation Of Positioning System Based On LoRa

As a new technology,the Internet of things connects objects to the Internet,so that people can get the feedback information of objects easily and quickly through the Internet.The Internet of things mainly USES wireless communication as the media to feed back information through sensors.At present,Internet of things technology is widely used in daily life,such as Shared bicycle,intelligent bus,unmanned aerial vehicle,remote monitoring,face recognition and so on.In the Internet of things technology,the way to obtain location information is GPS+GPRS.After obtaining location information through GPS,data will be sent to the network.The most commonly used wireless transmission technologies of the Internet of things include wi-fi,bluetooth and GPRS.WiFi and bluetooth technologies have low power consumption and close transmission distance,while GPRS has long transmission distance but high power consumption.In order to reduce transmission loss,the system adopts LoRa technology for long-distance communication.This paper analyzes the requirements of positioning system applied in the campus,studies the positioning algorithm,draws up the overall design scheme,and then designs the positioning system with STM32F103 as the core,which better solves the problem of reducing the energy consumption of the system and reducing the positioning delay of the system.On this basis,the student evaluation system is built,and the function and performance of the system are tested.In this paper,the design of the positioning system is introduced in detail from the aspects of hardware composition,positioning algorithm,information processing and so on,to achieve accurate positioning,complete the hardware design of GPS and iBeacon positioning,PCB drawing and circuit debugging,and realize cloud platform management by using LoRa communication technology.LoRa technology's chosen transmission band is free,with a range of 2-5km in urban areas.Aiming at a series of problems such as low accuracy and high delay of the current positioning system,LoRa technology is adopted for data transmission to achieve high-precision positioning.This paper also analyzes the software flow and structure of the system,and applies the behavior pattern of students on campus.By collecting the data of students' location,kalman filtering and normalization are carried out on these data information.Then,the data are analyzed,and the behavior patterns of students are analyzed by data mining algorithm,and the potential behaviors of students are evaluated.The positioning device designed in this project is able to accurately locate objects.It USES bluetooth for indoor positioning and GPS for outdoor positioning.The positioning system can be adaptively switched according to indoor and outdoor conditions.