Research On Abnormal Temperature Monitoring System For Key Parts Of Belt Conveyors

The belt conveyors are essential equipment for material transportation in mining,metallurgy and port industries,with the advantages of powerful conveying capacity,simple structure,low cost and good versatility.However,the operating conditions of belt conveyors are generally harsh.Heavy load,fatigue,corrosion,high temperature and other factors can lead to different degrees of failure of its core components.Among them,temperature is one of the key physical quantities to reflect the operating condition of belt conveyor.The abnormal temperature of each part of the conveyor will affect the whole production operation,and even lead to safety accidents in serious cases,causing irreparable economic losses.Therefore,it is important to monitor the temperature of key parts of the belt conveyor flexibly and accurately,and to predict its development trend on this basis.In this study,the abnormal temperature monitoring system for belt conveyors is designed by combining the technical means of signal acquisition,transmission,prediction and remote monitoring.The main work of the thesis is as follows:(1)Based on the mechanical structure and working mode of the belt conveyor,the causes of abnormal temperature of the belt conveyor and the characteristics of temperature distribution in each part of the actual operating conditions are analyzed,and the key parts for temperature monitoring during the operation of the belt conveyor are determined.Secondly,by comparing and studying the temperature monitoring schemes of different ways,the flexible and applicable non-contact temperature measurement method is selected.On this basis,a system monitoring scheme that integrates the advantages of fixed monitoring and manual inspection is realized.(2)The temperature prediction model building method is proposed based on the deep LSTM network.The time series characteristics of temperature data are analyzed,the principle of gating mechanism of LSTM neural network and the process of error inverse delay calculation are studied,and the prediction effect is optimized by using VMD+SO.Finally,the model performance evaluation system is established and compared with the traditional neural network prediction accuracy.(3)The hardware design of the abnormal temperature monitoring system for key parts of the belt conveyor was completed.A modular solution was used to analyse the hardware circuits for both the signal acquisition side and the portable monitoring side respectively,and the hardware circuit part of the system was implemented.(4)The belt conveyor critical abnormal temperature monitoring system software is designed and software development of some functions in the signal acquisition end is carried out.The upper computer design of the abnormal temperature monitoring system for critical parts of the belt conveyor was completed based on Qt,and the porting of functions to the portable monitoring end was completed to enable remote monitoring functions.Finally,the abnormal temperature monitoring system of the belt conveyor was calibrated and tested.This thesis has 65 figures,7 tables and 94 references.