Framework design of large data platform for monitoring and cotrolling major hazards dynamically and intelligently
To make the biggest advantage of large data effect on work safety monitoring,a platform of large data for dynamically and intelligently monitoring major hazard installations was established.The establishment of this platform was based on existing classification and grading of major hazard installations,monitoring technology of safety parameters,data standards of information collection and interaction,the management structure of monitoring systems at all levels,the frame of information share system and early warning and rescuing mechanism.Specifically,covering three types of major hazard installations (hazardous chemicals,non-coal mines and fireworks and firecrackers),the platform will perform functions,such as basic information management,dynamic monitoring,large data analysis and intelligent early warning.According to the architecture design of the platform,a regulatory system of province-city-county-enterprise four levels was build.Besides,a human-machine collaborative implementation process was established for monitoring and early warning.The results showed that,through the platform,the collection and sharing of mass data on work safety can be achieved,the law of accident happening rule can be explored by analyzing models of large data and precision management of major hazard installations can be realized.
major hazardmonitoring systemwarninglarge dataframe design
NETL
NSTL
万方数据
维普
