Study On Mine Personnel Positioning Fusion Algorithm Based On WSN

Wireless sensor network(WSN)technology is a network communication technology which involves many subjects,and it is also the basis of the rapid development of the Internet of things.This field has been concerned by many scholars.Due to the relatively slow development in this field,there are still many deficiencies in many technical aspects,so researchers and scholars at home and abroad have been paying attention to this field.With the economic and social development,personnel position demand more and more in people's lives,the wireless sensor network node due to nodes with low energy consumption,low cost,complete functions,so the WSN is widely used in personnel positioning technology,such as coal mine personnel positioning.But in the positioning process,due to the impact of the environment,the accuracy of personnel positioning based on WSN is greatly affected.Due to the underground environment is complex and changeable,the multipath effect is obvious,the special structure and other factors,resulting in the underground personnel positioning process,cause interference on the measuring signal,resulting in positioning accuracy cannot be improved.In order to improve the positioning accuracy of underground personnel,this paper analyzes and studies the personnel positioning technol ogy in the special environment:According to the multipath effects cause signal distortion,error and non interference signal distortion,using self-organizing neural network is trained on the signal filtered distortion error signal,and for non distortion signal mainly in the feedback filter based on RSSI(Received Signal Strength Indication)and LQI(link quality indicator)to obtain a weight value according to the range of data measuring the choices of different weight values as the standard of RSSI filtering.According to the particularity of the underground environment and structure,using a streamlined position signal to the final positioning,first of all,by the similarity of location of the unknown node,then according to the similarity selection of appropriate and effective use of beacon nodes,similarity as weighted coefficient,and combined with the Centroid algorithm for precise positioning of the final.Finally,the application model of personnel positioning are taught at the school four floor of the 504 corridor in the laboratory and experiments were carried out,and through the software simulation to compare and analyze the positioning effect,result fusion localization algorithm is proposed in this paper that to achieve the desired results,to a certain extent to meet the needs of complex underground personnel positioning in the environment.