Application of Perceived Data Analysis Technology in Mine Safety Risk Early Warning
At present,various coal mining enterprises and management institutions establish a set of monitoring and control system for the production process,production environment,and downhole personnel of the mine.It is urgent to organize and analyze the massive perception data generated by the system,timely early warn of mine safety risks,and correct violations.Mine perception data analysis is a new technological field that is in the early stages of development.At present,the initially formed system is the axis correlation analysis method,which is based on relevant laws,regulations,and technical standards.It first determines several key safety elements such as methane,carbon monoxide,ventilation,power supply and others,and gradually combines the data of each key element sensor with its associated sensor data for observation and analysis according to the correlation relationship of control,status,time,space,etc,thus to discover violations and risk factors.Through cases,the specific analysis process and conclusions of different objects and different correlation relationships are drawn,and the early warning analysis technology is systematically and theoretically summarized to promote its further maturity and development,as well as its promotion and application in mine safety management work.
security perception datadata analysissecurity early warning analysissafety production informationizationdigital mine