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Research On Intelligent Monitoring System Of Main Ventilator In Large Mine

Posted on:2020-03-06Degree:MasterType:Thesis
Country:ChinaCandidate:L LiuFull Text:PDF
GTID:2381330596977310Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
The main ventilator is known as "the lung of the mine",it bears the heavy responsibility of delivering fresh air to the underground,it is the premise and guarantee of the safe production,and its importance is self-evident.The situation of working faces is complex in large mine,and the air demand varies greatly in different periods,the main ventilator should adjust the air supply according to the condition of working face to meet the needs of production,but in most large mines,the adjustment method of air volume is relatively backward,and it can not achieve accurate adjustment of air volume,there is a phenomenon of "big horse trolley",which results in the waste of electric energy.in addition,there are many workers in large mine,which puts higher requirements for the reliability of main ventilator.Therefore,the research on intelligent monitoring system of main ventilators is very important for realizing safe and energy-saving production in large mine.Aiming at the problem existing in the monitoring system of main ventilator in large mine,taking the main ventilator in Pingmei No.5 Coal Mine as the background of this subject,the intelligent monitoring system of main ventilator in large mine is studied.Firstly,the adjustment method of air volume is compared,and frequency conversion is adopted to regulate the air volume.fuzzy PID controller is designed for the air volume regulation system,and genetic algorithm is used to optimize the control effect of the fuzzy PID controller.Secondly,the fault diagnosis algorithm of main ventilator is studied in this subject,the vibration signal is decomposed by EEMD algorithm,the characteristic information of fault signal is extracted by calculating the energy entropy of IMF,the intelligent fault diagnosis of main ventilators is realized by SOM neural network.Finally,combining with the actual situation on the spot,the hardware design of the intelligent monitoring system is carried out by using sensor detection technology and PLC control technology,and the software design of the intelligent monitoring system is carried out by using TIA portal and Kingview.The intelligent monitoring system of main ventilators designed in this subject can be used for reference in the reform of the monitoring system of main ventilator in other mine,and it has a positive impact on the intelligent and informational development of the monitoring system of main ventilator in large mine.
Keywords/Search Tags:Fuzzy PID control, SOM neural network, Hilbert-Huang Transform, PLC
PDF Full Text Request
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