DEVELOPMENT OF BIG DATA ANALYTICS FOR INTELLIGENT INDUSTRIAL MANUFACTURING BASED ON IOT

DEVELOPMENT OF BIG DATA ANALYTICS FOR INTELLIGENT INDUSTRIAL MANUFACTURING BASED ON The global network interconnecting physical devices such as mechanical machines, sensors, computing devices, actuators, objects, smart applications and people is termed as Internet of Things (IoT) which has become significant part of several applications. In industrial applications, abundant amount of data is generated during the manufacturing process, which is heterogeneous, massive and time sensitive bringing substantial challenges in real time data collection, its processing and thereby decision making. In this invention, we develop a novel framework for big data analytics for intelligent industrial manufacturing based on Internet of Things for managing the huge data generated in industries for controlling smart manufacturing and for supporting online process of industrial monitoring. The five layers involved in the framework are physical layer, network layer, middleware layer, database layer and application layer for providing architecture based on service oriented for the users. This framework is able to manage emergency events along with management of regular industrial data thereby increasing productivity. a74 SniartMmnuwhijtngSystem fSonhng Cloud entr Figure 1. Data Security for Intelligent Industrial Manufacturing usingIOT C ~ 1~1 A5~Data AnalyticS Int QMS WMS 0 - --- itUs \UN---ION--S -- - - - - ~- - -- ---Lae S Resource i Data Mnaeient ReMtatent DsitDtSre Idniiain 'Intelligent Routering Aggreatio suctured DatacBroTes Processin d Coletr i on + Reouce--- RgSrtio RgrData De4er> Cotet1aotext2 asnex --- vent ' r- -- - -- - - - Lae IResource vt Management M mdentificatio tlietRue Dis riue D a 2 St--o lskle «a Inut ia Data»in ggeato Figure2.ProposedFramework ofBigDataAnalyticsforIntelligentIndustrialManufacturingusingOT