Research On The Equipment Maintenance Information System Architecture Based On OE

With the wide use of production equipment and rapid development of equipmentmaintenance informatization,oil and gas production enterpirse need to productive equipmentinformation construction in order to strengthen the maintenance of equipment maintenancemanagement. Since the oil and gas production enterpirse have a kinds of equipment andmaintenance workload, the construction of equipment maintenance information system islimited to certain administrative department or the local function.Therefore,the design ofinformation system architecture rfom whole consideration of the enterpirse productionmanagement.This thesis mainly focuses on optimal design of Based on oil production equipmentmainetnance information acrhitecture，based on the analysis and the application of OEmanagement system，information system architecture theory, software system structure ofSO A and multi-agent theory, ifrstly, the equipment maintenance information systemarchitecture of based on the OE management idea for the optimization is proposed, and it iscompared with the traditional equipment maintenance information system, It realized wholedesign of equipmcnl maintenance information system architecture under distirbutedenvironment, taking maintenance management of ChangBei project department of equipmentin the changqing oil ifeld for example, the OPEMISA sotfware architecture based on the SOAis constructed, and veirifes the rationality of the SOA sotfware architecturc.Secondly?according to problem of large amount of information and type in oil production equipmentoperation process, OPEMISA data information architecture is proposed, the data waerhousetechnology is used in order to realise classification and organized way in the equipmentmaintenance maintenance. Finally, multi-agent techonoly of the ifeld of artiifcial intelligenceapplied to equipment maintenance information system, the OPEMISA application softwaresystem structure based on the multi-agent is proposed,it is realized management and decisionmaking of the intellectualization equipment maintenance.