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Research On Monitoring And Fault Diagnosis System Of Mine Ventilator Based On IoT

Posted on:2022-03-10Degree:MasterType:Thesis
Country:ChinaCandidate:X X FengFull Text:PDF
GTID:2481306533967399Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
Coal is the main basic energy source in China,and its safe production is a major issue for the national livelihood,economy and social stability.As the main ventilation equipment in coal mines,the safe and reliable operation of the main ventilation fan in coal mines is extremely important,and the study and construction of its monitoring and fault diagnosis system has important practical value.The main work of the thesis is as follows.1)Proposing a framework for an Io T-based mine ventilator monitoring and fault system.Firstly,according to the relevant national standards of the coal industry,the main parameters of the system monitoring and the main functions of the system software are analyzed in terms of requirements.Then,from the two perspectives of system architecture and network structure,the hierarchical framework of the Io T-based mine ventilation fan monitoring and fault system is proposed.The framework takes full consideration of system scalability and the protection of existing systems.It can be flexibly configured according to the needs of small,medium and large users,which selective application of functional subsystems with good adaptability and economy.Finally,the key system technologies are discussed.2)Studying the design and implementation of a PLC-based monitoring system for mine ventilation fans.It consists of a PLC lower unit measurement and control system and an MCGS-based upper unit software system for mine ventilation fan monitoring.The design of the PLC lower unit measurement and control system mainly includes the main hardware selection,PLC module configuration design and PLC monitoring lower unit software design.The hardware design consists of the selection of the PLC,the selection of the relevant modules and the selection of the sensors,and the right device is selected based on the analysis requirements.The software programming design consists of three main parts: the ventilation fan control program,the real-time monitoring program and the alarm program design.The MCGS-based software system design for the mine ventilator monitoring upper computer involves the reading and real-time display of multiple data sets.The communication with the lower PLC must be set up and the relevant sampling values from the internal CPU of the PLC must be collected via the drive module.The design of the upper computer system involves a number of configurations such as data acquisition,animation,writing of the control process,connection of analogue equipment,alarm indication,real-time display of the electrical parameters of the ventilation fan and display of the air pressure and air volume curves.3)Studying the hardware and software design and implementation of a fault diagnosis system for main ventilation fans in mines based on vibration signals.Firstly,the general framework of mine main ventilation fan fault diagnosis is studied,as well as a table of various typical faults and fault characteristics of fans.On this basis,the detailed design of the hardware system is carried out,including the design of the system hardware principle,the selection of the main hardware unit equipment,and the installation and deployment of vibration sensors.In terms of software,based on the Lab VIEW virtual instrument development platform,the mine main ventilation fan fault diagnosis system software is designed and developed.The Io T-based mine ventilator monitoring and fault diagnosis system developed in this thesis has been successfully applied to a number of mines and meets the application requirements.The thesis has 55 figures,15 tables and 97 references.
Keywords/Search Tags:Internet of things, mine ventilation fans, monitoring and fault diagnosis, PLC, vibration signals
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