Remote monitoring and diagnostics is a key driver for the Internet of Things strategy adoption in manufacturing and production. Advances in both the technology and services involved in this area appears to be the area of best economic return these days.
Rockwell Automation recently released news about its take on a diagnostic reliability service. Rockwell doesn’t tie it to the Internet of Things, much to its credit. But this solution fits within the broad trend I’ve seen developing.
The solution deploys a layer of technology across plant devices and equipment to monitor and perform analysis, and create a continuous improvement approach to reliability maintenance, reducing operational risk. As part of the service, a Rockwell Automation domain service expert also closely tracks equipment performance to advise on reliability improvements to the production facility.
“Our customers have access to a huge amount of data within their assets, but they often struggle to turn data into useful operational intelligence,” said Ryan Williams, product manager, Rockwell Automation. “In the past, companies relied on maintenance personnel on-site to check the status of equipment in the field and then develop corrective action plans. Now, with the diagnostic reliability service, they can transform maintenance data into asset intelligence. This helps build a more Connected Enterprise, leveraging interconnected data systems and producing actionable information. Companies can better prioritize choices on maintenance and production, and do more with less.”
The solution automatically collects identity and health data from all networked devices on the production control network. The data is then modeled with asset management information to trigger events and send alerts to necessary personnel for proactive maintenance. With the service, Rockwell Automation asset reliability professionals assist users in applying the intelligence on their critical equipment to inform data-driven maintenance decisions and increase productivity.
Case in diagnostics
Case in point: A major oil and gas company used the diagnostic reliability solution to help centralize information gathering and monitor hundreds of critical control assets across a California rural valley. The company also needed inventory of all the field devices in its process control network for a companywide cybersecurity policy. The automated identification and monitoring solution helped the company’s California business unit comply with the new corporate policy, reduce costs associated with field service manpower through proactive maintenance, and increase its daily oil production.
Through integrated, automated device identification and tracking, other customers using the diagnostic reliability service can realize approximately 70 percent reduction in manual data-collection time.
The diagnostic reliability offering is applicable to all manufacturers, with an industry emphasis including oil and gas, mining metals and cement, auto tire and rubber, and consumer packaged goods.