Research On Rank Filter And Fibonacci Localization Technology Of Wireless Sensor Network For Uranium Mill Tailing Safety Monitoring

With the increasing demand for nuclear energy,uranium mining has climbed.As the main storage place for uranium tailings slag,uranium tailings reservoirs have a large number of radionuclides.The uranium tailings dam is exposed to the atmosphere,and the erosion of rain may cause dam breaks?nuclide leakage and rainwater flooding,etc.which will bring great radiation damage to the downstream residential areas.It is of great significance to conduct real-time and dynamic safety monitoring of relevant safety parameters and radionuclide leakage migration.Most of the existing uranium tailings reservoirs safety monitoring methods use the laying of cables to form a distributed monitoring structure.This monitoring structure has many deficiencies that cannot meet the real-time and dynamic monitoring requirements of uranium tailings reservoirs.The new wireless sensor network(WSN)can not only meet the safety monitoring requirements of uranium tailings reservoirs through the multi-hop self-organizing network,but also respond well to its complex environmental conditions.In this paper,wireless sensor network(WSN)will be used to conduct real-time and dynamic safety monitoring of uranium tailings reservoirs,combined with the needs of uranium tailings reservoir safety monitoring,research will be conducted on the localization technology in the application of wireless sensor networks.The main research work includes following three aspects:(1)Analyze the safety monitoring needs of uranium tailings reservoirs.Theenvironmental conditions of the uranium tailings reservoir are quite different from the ordinary ground environment.It has the characteristics of harsh environment ? huge reservoir area?diversified node monitoring?large layout density?short communication distance and dead zone.Distance-related algorithms need to use some hardware facilities,in uranium tailings reservoirs,these hardware facilities cannot be used,so distance-independent positioning algorithms must be used.At the same time,in order to prevent monitoring blind spots and extend the network life cycle,nodes need to be redundantly deployed.A wireless sensor network localiazation technology including data transmission algorithm and monitoring localization is designed according to the environmental characteristics of uranium tailings reservoir;(2)A data transmission algorithm for uranium tailings reservoir wireless sensor network security monitoring is proposed.Non-uniform clustering of sensor networks and establishment of data transmission path selection rules.The entropy weight-level analysis method is used to determine the overall weight of the three index factors that are first selected for the cluster.Although the nodes in the uranium tailings reservoir are generally redundantly arranged,a certain node has been undertaking heavy tasks until death will be detrimental to the entire network life cycle,so it is necessary to set a threshold,comprehensively analyze a certain node,and replace the new node as the cluster head node after the threshold is reached.The cluster head node is divided into clusters of uneven size,and the data transmission method between clusters is to use the node in the overlapping area of the cluster as the data transmission transit node,and the adjacent transit node cannot communicate,and the cluster head node is used as the data transit node.This method can reduce the burden on the cluster head node well.Through the above,data transmission can be completed,network energy consumption can be balanced,and the network monitoring time can be extended;(3)Propose a localization algorithm for the safety monitoring of wireless sensor networks in uranium tailings reservoirs.The distance between nodes is obtained through the received signal strength indicator and free attenuation model.According to the problem of poor ranging accuracy caused by signal attenuation during wireless signal transmission,a rank filtering algorithm is used.By establishing the model ofthe received signal strength indication in actual application,the processed received signal strength indication value is obtained through time and measurement update,matrix operation,etc.and the performance of the rank filtering algorithm and the ranging progress are simulated and analyzed,and the performance advantage obvious.After determining the distance between nodes,the traditional localization algorithm based on the received signal strength indicator value uses the maximum likelihood estimation method to estimate the coordinates of the nodes.Simulation experiments show that the node coordinates localization error is large and cannot meet the actual application needs,so it is used Fibonacci tree optimization algorithm to optimize node positioning.First,the localization problem is transformed into an optimization problem.The maximum likelihood estimation method is used to determine the fitness function and constraints.The localization search model is established based on the Fibonacci tree theory,and iterates with two search rules.Through the above optimization to improve the node positioning accuracy.Based on the above main work,a wireless sensor network system with good data transmission performance,long network monitoring period and high localization accuracy has been constructed,which can perform real-time and dynamic monitoring of uranium tailings ponds.