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Study On Mobile Sensor Networks For Ultra Deep Shaft Monitoring

Posted on:2018-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:P H WangFull Text:PDF
GTID:2321330539475227Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
Along with the shallow mineral becoming gradually exhausted,ultra deep shaft will undoubtedly be a inevitable choice for the exploitation of deep mineral recourses.As a throat part of the whole mine,the change situations of ultra deep shaft,such as wall stress and strain states,faults evoution of hoisting system,structure deformation contions of ancillary facilities(derrick,cage guides,and drain lines etc.),are critical factors to ensure the hoisting segment of coal production to operate safely and reliably.However,manual inspection,planned excess maintenance and maintenance without clear objectives for ultra deep shaft monitoring used in the present stage,obviously have disadvantages such as low efficiency,high cost,difficulty on fine monitoring,and lack of systematicness and continuity at the global level.At the same time,as far as the deep shaft monitoring technique is concerned,the development of 3D scanning,structure light sensor provides a new method for shaft deformation monitoring,but how to know fairly well about the wall distortions,accessory structures and environment data of ultra deep shaft at the global level,there has few studies been reported.Aiming at the above problems,this thesis introduces mobile sensor networks to realize the monitoring of the ultra deep global.With the help of new ideas in shaft visual monitoring,this thesis focuses on the node which is distinct from the traditional wireless sensor node,to solve problems such as moblie,energy acquisition and network deployment in the ultra deep shaft respectively.And the significance of this work is to provide mobile plantform,energy supply reference and chain network foundation for visual networks monitoring which is oriented ultra deep shaft.The main work of this thesis is as follows:Firstly,this thesis designed the mobile module of node and finished the prototype trial.With the mobile function requirements under ultra deep shaft monitoring demand,this thesis developed a vetical mobile device for node which is adapt to the characteristics of steel wire rope,and made explosion-proof check and design introduction.Through the driven motor experiments,this thesis obtained the ideal speed output.Then this thesis recorded the situation of the the prototype climbing steel wire rope and the steel pipe.The prototype can realize the functions of hovering,climbing and descending,and the speed of climbing the steel wire rope is about 7cm/s when it is in normal condition.Secondly,this thesis made a research on energy supply for node based on shaft wind energy acquisition.With the analysis about energy harvesting for node under the shaft wind velocity conditions,this thesis proposed micro wind generator energy conllection scheme,and explored the the power performance of energy supply module from numercal simulation means and experiment means respectively when the symmetrically arranged number along circumference is different.After the inquiry,the ultimately conclusion was that the reasonable arrangement number was 6 under the size conditions of node,which not only met the power requirements,but also had no interference along micro wind generators.At last,based on the previous two parts,this thesis also studied the linear deployment algorithm and collabotative repairment strategy for monitoring line oriented ultre deep shaft.On the basis of the description of 2D and 3D perception model,the inspection mode of normal work about node,the definition of mobile interval,and the calculation introductions,this thesis proposed a linear hierarchy uniform deployment algorithm for monitoring line oriented ultra deep shaft.In addition,in consideration of possible sensoring function fault and communication function fault of node,this thesis designed the coopreative repairment strategy for node at network level and verified the effectiveness of the strategy through simulation analysis.After the repairment,the line coverage of the network is not less than the required value of the line coverage number 1.
Keywords/Search Tags:Ultra deep shaft monitoring, Chain mobile sensor networks, Node, Network cooperative repairment
PDF Full Text Request
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