Research On Mine Ventilation Simulation And Fault Diagnosis Based On Petri Net

Mine ventilation system is an extremely complex,multi-parameter and dynamic large system.The prerequisite for mine safety production is a stable and reliable mine ventilation system.Due to the complex and extremely bad environment and the effect of disasters in the mine,various resistance and dynamic failures will occur in the mine ventilation system structures,power facilities and roadways,which usually cause potential hidden dangers such as short circuit of wind flow,disordered wind flow,and insufficient air volume.For serious and sometimes even lead to the occurrence of mine disasters.Therefore,to explore and obtain the basic theoretical problem of mine ventilation system fault diagnosis method called mine intelligent ventilation.The failure of the ventilation system is the state in which the system cannot perform the specified functions,and the fault diagnosis is the process of judging whether the system and equipment are faulty through various detection and testing methods.Petri net is based on the process analysis of huge system,has sufficient expressive ability,very accurate semantic structure,precise calculation process,and can diagnose and study the complex system efficiently and quickly.Combined with the logical sequence relationship between system adaptation behaviors of Petri nets,the synchronous and asynchronous relationship between behaviors,as well as the activity of changes,the boundedness of places,and the accessibility of states,the mine ventilation system network is considered.Complexity,according to Petri’s network directivity,transient analysis,state space analysis,simulation capabilities,etc.,Petri is finally selected as the ventilation system fault simulation tool.The mine ventilation system is mapped to the Petri net,and the mine ventilation system is simulated according to Kirchhoff’s first and second laws,the calculation theory of the mine ventilation network and the Petri net parallel matrix analysis method.Based on the Petri net fault diagnosis theory,the The transition is assigned specific fault and normal states according to the elements,namely 1 and 0.Finally,the change of air volume and the change of the token value of the warehouse are used as the basis for fault judgment to carry out fault diagnosis research.Taking the simplified network of the ventilation system of a mine in Jincheng,Shanxi Province as an example,it is assumed that a resistance-variable fault occurs in the roadway(16#),which can be obtained from the fault signal display.The tributary of air volume change is in the final state of the software simulation.The token value is 0,so the Petri simulation of the fault signal shows that the fault occurs in the branch roadway,which verifies the applicability of the Petri net mapping the ventilation network in the resistance-variable fault diagnosis.The research results provide theoretical basis and application basis for disaster prevention,mitigation and control of large and complex mine ventilation systems,and will certainly provide important technical support for mine intelligent disaster management and control and smart coal mines,and ensure safe production in mines.The thesis has 18 figures,8 tables and 98 references.