| This thesis is supported by National Science and Technology project "Typical Southern City Biomass Waste Disposal and Technology Integration and Demonstration of Gas Utilization",centered on the information modification in a secure sanitary landfill,carried out the thorough research on data dynamic monitoring and intelligent control of landfill gas,landfill heap,leachate,the live video and so on.It is an interdisciplinary study that modern information technology can solve the problem of traditional landfill safety control.Environment protection has become an important subject of all mankind.Currently in city landfill,it had happened the spontaneous combustion because of the gas leak,and landfill landslide accident,caused significant casualties and property losses,so the landfill need to effective dynamic monitoring and management.It is very important to monitor landfill gas and heap location in real time to ensure the safe operation.Systematically studies on this aspect rarely found in domestic,so carry out the key technologies of intelligent control and application research of the dynamic monitoring in landfill,and it had a great significance for security risk prevention in big city sanitary landfill.In this paper,we analysised the internal principle of safety hazards caused by the landfill gas and natural sedimentation instability.A dynamic monitoring and intelligent control system is established to research on key core scientific issues such as real-time information collection,data transmission network and displacement warning model,provided technical support for the construction of the landfill security control system.According to the characteristics of the landfill in Chongqing area,we carried out the actual investigation of field data test and analysis of large municipal landfill sites.The safety supervision index system of the landfill site was constructed and the threshold of supervision index was proposed.The wireless sensor network(WSN)is adopted to acquisition and transmission of landfill dynamic monitoring data,to instead of the tedious manual detection and data collection,the key is how to reduce data quantity to meet the transmission bandwidth.Compressed sensing theory applied to this scenario can effectively solve the bottleneck problem of large amount of data acquisition and transmission.Compressed sensing theory applied to this scenario can solve the bottleneck problem of large amount of data acquisition and transmission effectiveness.According to the correlation information of adjacent sensor nodes,an improved WSN joint sparse transmission model based on compressed sensing theory is proposed.First this model only need a random number generator in the sensor,reducing the storage to solve the problem of small memory capacity,and the measurement matrix is very sparse,greatly reduced the computational complexity to save the electricity.Then a cluster node is selected to calculate adjacent data,several monitoring adjacent nodes only need to exchange data with cluster nodes,reducing the node transmission power and improving the reliability of the monitoring data transmission and processing capacity.Secondly,an improvement of adaptive iteration algorithm based on hard threshold wavelet tree model is put forward,reducing the computation and speeding up the reconstruction,also can improve the precision at the same time.Thirdly,the software of Matlab is used to carry out corresponding simulation,the comparison between the modified model and regular results proved that the proposed joint sparse algorithm based on the improved compressed sensing theory WSN transmission model is more practical and feasible.It is a reliable plan for WSN application in safety alerting system of landfills.In the aspect of landfill heap alert,the efficiency of existing artificial search is low and the judgment is not accurate.However,the traditional displacement monitoring method is “point” or “line” in natural disasters such as landslides and tailings reservoir deformation.If the method directly cited in the monitoring and warning of position displacement in landfills,it cannot overcome the displacement and deformation caused by natural degradation of waste and generate false alarm signal.So we put forward the warning model based on the basic theory of Markov chain and the weighted Markov chain theory,to forecast the degradation of the landfill.This paper presents the moved 3D collaborative monitoring and warning algorithm innovatively,enlarging displacement prediction from point to plane(2D)to the body(3D),to avoid the high false alarm probability caused by predicting single point displacement state of existing model,improved the practicability of the displacement warning.A further discussion about the displacement coordination warning level to determine displacement cooperative detection strategy,subdivided the alarm level into thousand cubic,cubic,hundreds of cubic,using warning intensity threshold as indicators,its feasibility was verified.A 3D collaborative monitoring system for landfill site displacement based on Beidou foundation reinforcement network is also studied.On the basis of the model above,combined the characteristics of Chongqing landfill site,a complete intelligent management system is proposed for the first time.In terms of hardware,a landfill gas monitoring method is proposed in view of gas monitoring program,summarized as "point","line" and "surface" to solve the problem of the full cover of landfill monitoring;the Beidou earth network system is used in view of landfill displacement monitoring,combine with the moved 3D collaborative warning algorithm,designed the monitoring network for landfill displacement.In terms of software,based on terrain conditions of Changshengqiao in reality,designed a set of practical landfill dynamic monitoring and intelligent control system,the intelligent platform software can utilize the model above to generate alarm log tables,landfill gas volume trend diagram and heap position shift trend diagram,etc. |
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