Rockwell automation launches new diagnostic reliability services.With this service, manufacturers and industrial manufacturers can simplify maintenance strategies for mission-critical integrated equipment production lines.The solution deploys a technical layer covering plant equipment and installations to monitor and analyze, and to establish continuous improvement methods to achieve reliability maintenance and reduce operational risk.
Our customers have access to large amounts of asset data, but they often have difficulty translating that data into useful operational intelligence."Ryan Williams, rockwell automation product manager, said, "in the past, companies needed to send maintenance personnel to the field to check the status of equipment in the field and then develop corrective actions.The solution automatically collects identification and health data for all connected devices in the production control network, and then models these data using asset management information to trigger events and send alarm messages to the preventive maintenance staff.
A major oil and gas company is using diagnostic reliability solutions to centralize information and monitor hundreds of key control assets in a mountain area of California.To implement an enterprise level network security strategy, the company also needs to stock all of the field equipment in the process control network.With the help of automated identification and monitoring solutions, the company's California operations have implemented a new corporate strategy to reduce costs associated with field service through preventive maintenance and increase daily oil production.
This helps build a better connected enterprise that leverages interconnected data systems and generates actionable information.Enterprises can better determine the priority of maintenance and production work, and achieve twice the result with half the effort.With this service, rockwell automation asset reliability specialists can assist users with key equipment intelligence, enabling users to make informed maintenance decisions and increase productivity based on actual data.
