Maintenance Technology April 2016 - (Page 44)

INDUSTRIAL INTERNET OF THINGS IIoT Maturation Coming? F ebruary's inaugural "Industrial Internet of Things" (IIoT) column (Maintenance Technology, p. 29), discussed how the massive move to more sensors and analytics in manufacturing isn't just a passing fad: It's transformative. How do companies implement a data strategy with current Grant Gerke production systems in place? Contributing Editor Each company needs a starting point in the IIoT journey, but a fully realized data strategy is hard to wrap your arms around today-and was even harder in 2012. That's when Southern Company, Atlanta, an energy producer and transmission line supplier, decided to tackle the problem. The company is a large energy player in the deep-South region, with 27,000 miles of transmission lines that run through Georgia, Florida, Alabama, and Mississippi, in addition to operating several natural-gas and generation assets. In a recent manufacturing webinar, Elizabeth Bray, principal engineer at Southern Company, discussed some newly enacted pilot projects involving the corporation's transmisThe eDNA trend tool and PRiSM sion businesses and the move toward modeling allowed Southern's condition-based monitoring for its centralized monitoring teams to transformers at more than 3,700 identify a rate-of-change alert substations. and allow maintenance to be Before the recent pilot, Southern performed before a peak period Company began to add sensors and could cause downtime. monitoring capabilities to make a future business case for a centralized program. Southern Company uses the eDNA data historian and PRiSM modeling from Schneider Electric for its transformers. These tools allow operations and maintenance teams to organize data into easy-toread charts on monitoring screens and identify rates of changes or current deviations for its assets. One example of success in the recent pilot program alerted a maintenance engineer to capacitor issues with a particular transformer. The eDNA trend tool and PRiSM modeling allowed centralized monitoring teams to identify a rate-of-change alert and allow maintenance to be performed before a peak period could cause downtime. This is a great example of software and platform analytic delivering on a large sensing development. The Internet of Things is changing the maintenance and reliability world. Keep up to date with our ongoing coverage of this exciting use of data and technology at 44 | MAINTENANCE TECHNOLOGY In Maintenance Technology's "Final Thought" column (Sept. 2015, p. 48), guest columnist Rene G. Gonzalez noted that this type of trend is quite pervasive in the energy industry. As an example, he cited a typical refinery as increasing its number of sensors from 20,000 five years ago, to 100,000 today. Some industry observers, such as Joe Barkai, former VP of Research at IDC, Framingham, MA, are pushing for standardization of instrumentation and devices to reduce costs for manufacturers. According to Barkai, "There aren't enough standards for the industrial IoT space, and the robust use of standards is critical to accelerate innovation and scalable IoT ecosystems." While Barkai is right, most enterprises need solutions now to visualize trapped machine and system data for maintenance teams. With the increasing number of mergers and acquisitions added to the mix, large manufacturers are now assimilating disparate platforms and control architectures to the current plant-production systems. John Rinaldi, president of Real Time Automation, Pewaukee, WI, spells out specific problems for manufacturers using older controllers in a recent article, titled, "Mining Manufacturing Data | Leveraging Trapped Data for Results" (, Aug. 21 2015). "Many controllers," he wrote, "do not have the software and hardware to communicate data to asset-management and information systems using current computing methods." Beside the exceptional computing power of the cloud, industrial networking is another huge component of IIoT. Rinaldi pointed to the advantages of intelligent network gateways, which can "extract information residing in PLCs and communicate data to maintenance-management or asset-management systems." This allows disparate networks or systems to communicate and even perform math functions on process data and send email alarms to maintenance technicians on changes-of-states. Operations and maintenance now can measure machine cycles, runtime, and other data to perform predictive maintenance without disrupting control architectures and plant performance. Also, a minimal capital investment solution holds water with management. MT Grant Gerke is a business writer and content marketer in the manufacturing, power, and renewable-energy space. He has 15 years of experience covering the industrial and field-automation industries. APRIL 2016

Table of Contents for the Digital Edition of Maintenance Technology April 2016

My Take
On The Floor
Culture Changed At This Indiana Refinery
She Ignores The Glass Ceiling
Loadability Studies Aid PRC-025-1 Compliance
Look System-Wide For Cost Savings
Reliable Pumping Supplement
Fund Lubrication Program With Energy Savings
Emergency-Stop Choices
Cyber Security
Backup Generators
Infrared Safety Tips
Internet Of Things
ISO 55000
Motor-Testing Tools Expand Services
Ad Index
Final Thought

Maintenance Technology April 2016