Indoor Positioning And Location Service Based On Data Fusion

With the rapid development of the economy and the accelerating process of urbanization,the intensive large-scale buildings not only have brought a lot of convenience to people's lives,but also brought many security risks to people.In recent years,indoor public safety problems and emergencies have emerged in an endless stream.How to provide accurate indoor positioning services and evacuate people quickly and safely in a large-scale building during disasters or panic has become a problem that worth studying and solving,which is also the most important research aspect of indoor positioning and indoor location services.Currently,accurate and low-cost 3D indoor positioning technology and efficient and user-friendly pedestrian evacuation in large buildings are still the focus of academic and industrial research.This paper researches on the 3D indoor positioning and the pedestrian evacuation and path planning problems in large buildings in the event of disasters or panic.The main research work is as follows:(1)For the existing problems in indoor positioning,this paper proposes and implements a 3D indoor positioning mechanism based on data fusion,which combines Wi-Fi positioning and inertial navigation technology to locate users two-dimensionally.And on the basis of inertial navigation,combined with the indoor layout,set some virtual landmark points to correct the user's position which can reduce the cumulative error of the inertial navigation and improve the accuracy of indoor positioning.At the same time,combined with inertial navigation and the barometer,the user's height information,that is,the floor information can be obtained.Thereby,the user's 3D positioning is completed,which can further satisfy the current 3D positioning requirements in indoor positioning.The experiments in real environment verifies the solution realized in the paper has a high accuracy,real-time performance and low cost in 3D positioning.(2)For the pedestrian evacuation in a disaster environment in location service,this paper proposes and establishes a pedestrian evacuation model for large indoor venues based on cellular automata.The model considers the attraction of exits to pedestrians,the repulsive force and the friction force among pedestrians and pedestrians or pedestrians and obstacles,the influence of the herd behavior among pedestrians on the evacuation of the crowd,and further refines the calculation algorithm of each influencing factor.At the same time,the pedestrian one step loss and cumulative competitiveness are proposed in addition to these factors.The experiments compared with multiple models has verified that the proposed model in this paper is more advantageous in terms of evacuation efficiency,stability and user-friendliness,so that when disasters or panic occur,the application of this model can improve the efficiency of crowd evacuation and provide path planning for pedestrians.(3)Based on the proposed positioning scheme and evacuation model,this paper constructs an indoor positioning and pedestrian evacuation system for large indoor venues.In daily life,the system can provide accurate,efficient,friendly positioning services for pedestrians.In the event of disasters or panic,it can provide effective and efficient evacuation route planning for pedestrians,which can guide people to evacuate quickly and avoid crowding with other pedestrians that may generate unexpected situations,and improve evacuation efficiency.At the same time,it can provide managers with evacuation information display.The management center can make corresponding response policies based on these evacuation information.