Studies On The Location Of Underground Personnel Based On DV-HOP And RSSI Algorithm

As is known to all,the underground mining environment is extremely harsh and severe,so the state and government attach great importance to the safety of underground mining.In this environment,the algorithm research of underground personnel is particularly important,because once an accident occurs,it is not only related to the efficiency and accuracy of rescue,but also to the safety of life and property of underground workers.Some existing location algorithms have not high positioning accuracy,some need additional hardware and some are poor in anti-jamming.In this paper,an improved DV-HOP algorithm and an improved DV-HOP and RSSI algorithm are given.The effectiveness of the improved algorithm is verified by MATLAB simulation and data analysis.Firstly,this paper analyzes the current research status of underground personnel location algorithm at home and abroad,then introduces ZigBee technology,and downhole personnel positioning system.The node localization algorithm in wireless sensor network is studied,and the advantages and disadvantages of the range-based localization algorithms and the range-free localization algorithms in wireless sensor network node localization algorithm are compared and analyzed.Secondly,there is a big error in the classic DV-HOP localization algorithm in average hop distance and unknown point coordinates.An improved DV-HOP location algorithm is given,in which the average hop distance is weighted to improve the accuracy of the hop distance,and a checkout algorithm is introduced to match the unknown coordinates with the true unknown point in the second and third stages of the classic DV-HOP localization algorithm.Through the simulation analysis,the improved algorithm is verified to improve the positioning accuracy and reduce the positioning error.Thirdly,the improved algorithm of DV-HOP and RSSI algorithm is given.Firstly the improved algorithm firstly by feedforward neural network trains network model.Secondly,it uses DV-HOP and RSSI algorithm to calculate the unknown node and anchor node distance.Finally,the distance is input to the training network model to get the position information of the unknown node.Through the simulation experiment and analysis,it is proved that the improved algorithm is effective and has certain anti-interference.Finally,This paper designs the software and hardware of the improved DV-HOP algorithm and the improved DV-HOP and RSSI algorithm,selects the CC2530 module to achieve and the location effect of the improved DV-HOP algorithm and the improved algorithm DV-HOP and RSSI algorithm,and does data measurement and analysis,further verifies the feasibility of the improved algorithm.