Research On The Control System Of Oil Extraction Joint Station Based On PLC

With the gradually mature of Internet of things technology,oilfield iot system will gradually achieve through the sensor technology,radio frequency technology and so on to the whole process of production and production in perception and comprehensive monitoring,realize the centralized management of production and equipment status data and integrated treatment.Because of oilfield enterprises is a multidisciplinary and multi-field,more high technology intensive industries,long-term longitudinal management lead to different departments to get the data of each system means,perceived different device interface standard,makes the acquisition of the original data structure,format,expression form and content of each are not identical,this heterogeneity makes it hard for real-time data unified description and integration.At the same time,the front-end equipment continuous acquisition perception formed the high speed data flow,the data stream itself is not able to predict,highspeed and continue to arrive,and the real-time demand is high,if not handled in time,will cause the data accumulation,the problem such as lost,lost data limitation value.Aiming at the above problems,this paper presents a framework suitable for the real-time integration of raw data,which provides theoretical support for the development of real-time data integration system of oilfield enterprises.On the one hand,from the perspective of integration,the transmission of data flow is proposed based on MOM cache,which ensures the reliability of data in transmission.The scheduling strategy based on real-time demand is proposed to shorten the execution time of the integration task,and the real-time data can be realized as soon as possible.In view of the load on the database performance is presented based on the real-time database caching method,ensure the real-time demand of high data first to be integrated at the same time reduces the persistence of real-time data affect the performance of the database.On the other hand,from the perspective of the accuracy of the integration,introduces semantic technology in real-time data integration,puts forward the pattern matching method based on domain ontology,using oilfield global ontology to the standardization of the data source and data in the database item add uniform semantic description,not only solved the data source to the integration of heterogeneous problem in the process of data items,and reduces the workload in the matching process,improve the matching efficiency.In the process of pattern matching similarity calculation,puts forward the improved comprehensive similarity algorithm,to solve the existing problems matching method is not accurate,and implements the data source to the accuracy of the integrated data items.To sum up,this study for the oil field real-time data collected by adding a unified,standardized and semantic description for its integration into the database with new technology and new method for solving the real-time performance in the process of oil field real-time data integration is not high,integration,the problem of inaccurate,and research the key technology of the effect of contrast experiment.Empirical evidence,based on the semantics of real-time data integration technology,from both accuracy and real-time performance improved.