IIC Journal of Innovation 9th Edition | Page 83

Smart Manufacturing Connectivity for Brown-field Sensors Testbed This article gathers information from the Industrial Internet Consortium’s (IIC) Smart Manufacturing Connectivity for Brown-field Sensors Testbed. The information and insights described in the following article were captured in an interview conducted by Joseph Fontaine, Vice President, Testbed Programs at IIC with Dr. Michael Hilgner, Manager Consortia & Standards at TE Connectivity. The Testbed is carried out in two phases: on an initial demonstration case (phase I) and a real industry deployment (phase II). The interview was carried out after the completion of phase I and thus refers to the results and learnings from there. programmable logic controllers (PLCs) which govern the real-time control (sub-)systems. There are generally three options for retrieving data from these systems for the use in enterprise IT systems: TESTBED PROFILE The Smart Manufacturing Connectivity for Brown-field Sensors Testbed is a joint effort of the IIC members, TE Connectivity (TE), a world leader in connectivity and sensors, and SAP, a world leader in enterprise applications in terms of software and software-related service revenue. Further collaboration partners are ifm, a worldwide leader in sensors, controllers and systems for automation, and the OPC Foundation, the organization defining the industrial interoperability standard OPC Unified Architecture (OPC UA). The Testbed was approved in April 2016 by the IIC Steering Committee. Public information is available from the Testbeds section of the IIC's website. 1. To incorporate technology into themselves communication the sensors 2. To extract the data from the first aggregation level, i.e., the IO modules 3. To provide the data through the governing PLC which normally requires some re-programming In brown-field installations, option 3 is not favorable or even not possible as the PLCs, which were once selected and programmed to process the automation sequence only, are typically far from modern and hence not capable of processing the volume of data required by advanced (cloud-based) analytics. Furthermore, the original programmer is often not available anymore and thus, re-programming a PLC which has been running an optimized code for years implies a considerable risk. Objectives The main objective of the Testbed is to provide a high volume of sensor data from brown-field manufacturing installations to enterprise IT systems in near real-time. In the discrete manufacturing domain, which is characterized by a strictly hierarchical structure, also referred to as the “Automation Pyramid,” sensors are typically connected by input/output (IO) modules to Option 1, to extract data from the sensor and communicate it, has its cost limitations. At - 79 - IIC Journal of Innovation