pps proceeding - Abstract Preview
pps proceeding
Symposium: S04 - Injection Molding and Molds
Poster Presentation
 
 

A Service Orientated Architecture and Wireless Sensor Network approach using Business Processes applied to measurement and control of a Micro Injection Moulding Process Data.

Raza Umar (1)*, Whiteside Ben R (1), Hu Fun Y (2), Coates Phil (1)

(1) University of Bradford, IRC in Polymer Engineering - West Yorkshire - UnitedKingdom, (2) University of Bradford, Future Ubiquitous Networks - West Yorkshire - UnitedKingdom

The latest research trend has seen the devices on a factory shop floor moving towards a new level of integration through the Internet of Things (IoT) vision. This vision sees millions of devices interconnected, providing and consuming information, and cooperating online. The most common integration approach has been through the use of the Service Orientated Architecture (SOA), an architectural concept which separates functions into distinct units called services. One industrial environment which still has not had much exposure to the IoT concept is the plastics industry environment particularly Injection Moulding (IM), Micro Injection Moulding (µIM) and Extrusion. Latest developments in µIM machine technology allow process information to be sent over wired network links, but the resolution of key process data is typically too low for adequate characterisation of micro-moulding processes due to the small time scales involved. In light of this, the IM, µIM, and/or extrusion line manufacturing processes would directly benefit from the IoT concept by making the environmental and high resolution process data available in real-time over the internet. This would have numerous benefits in terms of process monitoring, material and product quality. In this paper a novel approach for monitoring the µIM process using a distributed architecture is presented based on SOA with the Enterprise Service Bus (ESB) at its core, Web Services Business Process Execution Language (WS-BPEL), and Google Gadgets. This approach applies the SOA to a network of wireless sensor nodes in the micro-moulding environment and a NI high speed data acquisition device connected to a µIM machine which has an integrated real-time controller and FPGA. Process data is recorded at acquisition rates in excess of 1000Hz using the onboard FPGA. Data is stored in a relational database and file format as well as being converted into a Restful web service. Business processes created using WS-BPEL are used to process