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Research On Inspection Robot With Wireless Power Supply For Belt Conveyor

Posted on:2020-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:J N ZhangFull Text:PDF
GTID:2428330590459306Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Belt conveyor,as a rotating transport machine,is widely used in mining,customs and material factories.Due to long continuous operation time and heavy load,it is easy to cause internal damage.For the coal mine industry,the belt conveyor usually can reach 2-3km,and its troubleshooting depends on manual inspection.This method has the disadvantages of great difficulty in actual inspection and untimely troubleshooting.Therefore,the design and development of inspection robot has long-term significance and practical benefits for the smooth operation of belt conveyor and the safe production of enterprises.The specific works are as follows:Firstly,by researching the overall structure of the belt conveyor,the principle of material transportation and the mechanism of failure,the solid mechanism of the belt conveyor inspection robot is modeled in three dimensions.The energy supply mode of the designed belt conveyor inspection robot adopts a safe and efficient Wireless power transfer mode to avoid disordered distribution of wires.Moreover,by installing various types of information sensors on the device,the working state and surrounding environment parameters of the belt conveyor can be obtained.Secondly,aiming at the problems such as the occurrence and difficulty in eliminating the roll failure of belt conveyor,taking the process of roll failure from normal to failure as the research object,the failure factors and the time-frequency characteristics after the final failure are analyzed.Based on the dynamic collection of inspection robot,a nondestructive testing scheme based on audio collection is proposed.The empirical mode-wavelet packet decomposition method is adopted to extract the pulse excitation frequency in the roller fault signal,and the BP neural network model is used to classify and train the fault samples.Experimental results show that the classification method has high fault resolution.Finally,based on the modular design principle,a LabVIEW real-time detection system is built to carry out model denoising,energy spectrum calculation,BP training and testing on the collected audio,and finally identify the fault features.The communication between application software and WIFI module of information acquisition device is realized with TCP/IP communication protocol.Through the installation and debugging of Wireless power transfer robots,the requirements of automatic acquisition,intelligent processing and basic analysis are realized.The requirements of automatic intelligent inspection are met ultimately.In this study,the non-destructive inspection technology is combined with intelligent technology by the inspection robot,which improves the flexibility and reliability of fault diagnosis mechanism of belt conveyor.Therefore,it has higher practical engineering significance for intelligent underground inspection.
Keywords/Search Tags:Belt Conveyor, Robot, Wireless Power Supply, Empirical Mode Decomposition, Wavelet Packet Transform, LabVIEW, BP Neural Network
PDF Full Text Request
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