An IoT and business processes based approach for the monitoring and control of high value-added manufacturing processes

Whilst the concept of IoT has a1ready started to expand to some industria1 environments8 one industria1 environment which sti11 has not much exposure is the p1astics industry environment made up of the Injection Mou1ding (IM)8 Micro Injection Mou1ding (kIM) and extrusion 1ine manufacturing processes. These processes wou1d direct1y benefit from the IoT concept by making the environmenta1 and high reso1ution process data avai1ab1e in rea1Itime over the internet. This wou1d have numerous benefits in terms of process monitoring8 materia1 and product qua1ity8 tracking8 tracing and integration with other business components of an enterprise. In this paper we bui1d upon a nove1 architecture for monitoring the kIM process using: IoT devices; distributed service orientated Architecture (soA)8 with the enterprise service Bus (esB) at its core; Business Processes for 1inking with other standard processes and Goog1e App1ications for web monitoring. This approach app1ies the soA to IoT gateway node in the microImou1ding environment8 NI high speed data acquisition devices connected to kIM machines and simu1ated materia1 drying processes. eva1uation resu1ts from the extended architecture show that the BPeL orchestration framework successfu11y invokes simu1ated business processes based on the environmenta1 conditions. The esB successfu11y initiates the orchestration of business processes whereas the goog1es gadget API successfu11y visua1izes the resu1ts. Here we present; architectura1 design8 system integration8 and resu1ts for an initia1 test scenario .