Research And Implementation Of Safety Early Warning Model For Oil Construction And Construction Industry Based On Rough Set Theory

Oil construction engineering is one of the core of oil and gas field development, the type of work is various, the liquidity, long operation time, environment is complex, process is more characteristics, so in the process of operation, often associated with accidents and risk. How to guarantee the safety of oil construction operation, prevent the happening of the accident is oil construction industry need to focus on, establish oil construction safety warning system is imperative. In this paper, based on rough set oil construction safety early warming model is established. The model laid a foundation for building oil construction early warming subsystem.Based on rough set theory of data mining and knowledge discovery, study of security early warning samples in various data analysis and gets the rules, as the judgment of security early warning. In this paper, the specific studies are mainly the following several aspects:(1) On the basis of the existing security warning and related theoretical research, a suitable early warning indicator system is established. The system is built for danger, risk factors and accident which could occur in the oil construction.(2) Using rough set theory knowledge, the condition attributes of decision table data discretization, attribute reduction, finally, generate the corresponding rules.(3) On the basis of credibility, coverage of the rules for processing, get effective rules. The rules, import into security early warning rule database, complete matching algorithm.(4) Designed and implemented oil construction safety warning model based on rough set.(5) Using the data to validate the validity and practicability of this safety warning model.