Study on dynamic diagnosis system of mine safety based on cloud computing and internet of things

According to the imperfect construction system of the mine information.backward mine safety management decision making mode and other phenomenon.based on Tianchen Mine as the study object a dynamic diagnosi system of the mine safety was esablished. with the cloud computing intenet ofthings and data mining technology as the supporthe diagnosis system comprehensivly inegrated th conine and dal busimess data of the mining and excavation machiney ransporaton.,communication and other techrology.the marn-machineenvironment-management our factors,the time and space,history and presen situation.Based on the dynanmi:D wirual mine platform adisplay.analysis and inference were conducted on each information ofthe mine safety producton the mode and acknowledge contained in thehistorical data were mined,the present safety status were diagnosed and summarized and the potential danger factors were analyzed.The mine disaster was effectively predicted,the safety production accident occurred in the mine was finally reduced and the mine safety management information was realized.