Public Emergency Crisis Warning System of Electric Furnace Enterprises with Big Data Mixed Structure
In order to solve the problems of poor classification ability and high cumulative distribution of early warning false alarms in the pub-lic emergency crisis early warning system of electric furnace enterprises,a big data hybrid structure of electric furnace enterprise public emer-gency crisis early warning system is studied.A new system structure is constructed by adopting the big data mixed structure combining C/S structure,B/S structure and big data database,so as to design the system function module,classify the events by decision tree algorithm,and realize the public emergency crisis warning of electric furnace enterprises.The results show that this method accurately classifies event sam-ples,and the cumulative distribution ratio of early warning false positives is below 2.0％,and the value does not fluctuate significantly,which proves that it improves the event classification ability and reduces the cumulative distribution ratio of early warning false positives,thus impro-ving the crisis warning performance,and has higher application value.
mixed structure of big datapublic emergencies of electric furnace enterprisescrisis early warning systemdecision treeinfor-mation gain
万方数据
维普
