Multi-source Fusion Indoor Positionsing System Based On Wechat Applet

With the rapid development of mobile computing,indoor positioning technology has been extensively used in multiple industries.At present,lots of indoor positioning systems are founded on mobile applications(i.e.APP),which causes problems such as inconvenient use and strong dependence on the network.However,Wechat applet has rapid development lately.It can provide users with "use and go" services.Therefore,it has a large number of users,and it can obtain a large number of sensor data,which provides a new application carrier and data entry for indoor positioning technology.This paper proposes a multi-source integrated indoor positioning system based on Wechat applet.This system integrates three indoor positioning technologies based on Wi Fi,Bluetooth and pedestrian dead reckoning,which meets the application requirements of high precision,full coverage and low cost.The multi-source fusion indoor positioning system based on Wechat applet uses Wechat applet to call the inertial device data of mobile phone as the carrier,and completes positioning and navigation through pedestrian track inference.However,step detection technology is involved in pedestrian navigation estimation technology.At present,most step detection technologies at home and abroad are based on simple peak detection or periodic correlation detection method.However,there are a lot of factors that interfere with the detection in the process of pedestrian walking,resulting in low robustness and accuracy of the existing detection results.Therefore,this paper proposes a step detection algorithm based on Transformer,which processes the acceleration intensity of pedestrians in time sequence,and then carries out a large number of training and testing,which improves the robustness and accuracy of the existing step detection.In terms of development work,this paper follows the relevant principles and ideas of software engineering.Firstly,this paper investigates the existing indoor positioning,step detection and Wechat applet technologies at home and abroad,and selects the appropriate positioning technology.Then,this paper makes a more comprehensive demand analysis of the system,and based on this,carries the outline design of the system,including determining the technology stack,dividing the function points in the demand analysis into modules and designing the database.Based on the outline design,this paper discusses the detailed design and implementation of the module by using class diagram and sequence diagram.Finally,the functional and non-functional tests of the system are carried out by writing appropriate test cases to check the operation of the system.At present,all the development and testing work of this paper has been completed.The indoor positioning system proposed in this paper achieves 80%accuracy within 4 meters in non-hollow areas and 5 meters in hollow areas.At the same time,relying on Wechat applet,it provides users with convenient positioning services and has good application value.