Advanced Elastomer Systems Upgrades Production
In order to maintain its share of the international market for thermoplastic elastomers AES recently expanded its Florida plant by adding a new production line. While the existing lines were operating satisfactorily using a PROVOX distributed control system with traditional analog I/O, AES wanted advanced technology on the new line for greater economy, efficiency, and reliability. AES officials were anxious to get this line into production to meet incoming orders, but two hurricanes slowed construction.
EmersonEmerson is a diversified global manufacturing company that brings technology and engineering together to provide innovative solutions to customers in the industrial, commercial and consumer markets through its Process Management, Industrial Automation, Network Power, Climate Technologies, and Commercial & Residential Solutions businesses. Year founded: 1890Revenue: $24.5 billion (2014)NYSE: EMR
- CONNECTIVITY PROTOCOLS
6LoWPAN IPv6 Other frequency
- USE CASES
Predictive MaintenancePredictive maintenance is a technique that uses condition-monitoring sensors and Machine Learning or rules based algorithms to track the performance of equipment during normal operation and detect possible defects before they result in failure. Predictive Maintenance enables the reduction of both schedule-based maintenance and unplanned reactive maintenance by triggering maintenance calls based on the actual status of the equipment. IoT relies on Predictive Maintenance sensors to capture information, make sense of it, and identify any areas that need attention. Some examples of using Predictive Maintenance and Predictive Maintenance sensors include vibration analysis, oil analysis, thermal imaging, and equipment observation. Visit our condition-based maintenance page to learn more about these methods.
Advanced Elastomer Systems (AES), is an ExxonMobil Chemical affiliated company and a major producer of thermoplastic elastomers.
Some lost time was recovered through the advanced control technologies selected to take advantage of the installation efficiencies of bus architecture. A fieldbus network simplified installation and reduced overall wiring costs by approximately 15%. And instruments arrived configured and network-ready. During commissioning and startup phases, AES saved significant time by using Emerson’s Intelligent Device Manager predictive maintenance software to communicate with the field instruments. During commissioning, a single technician could query each instrument directly from the control room, confirm that device’s functionality with an observer in the field, and move on to another device without opening instrument covers. If the condition of a device or associated equipment changes beyond predetermined limits, a Status Alert indicates the problem to line operators. The real, actionable information makes device maintenance easier. Hardware Components - PROVOX distributed control system (with traditional analog I/O) - FOUNDATION fieldbus network - Rosemount instruments Software Components - DeltaV digital automation system - AMS Suite Intelligent Device Manager (for predictive maintenance)
- DATA COLLECTED
Device Status, Equipment Status, Installation Diagnostics
- SOLUTION TYPE
- SOLUTION MATURITY
Mature (technology has been on the market for > 5 years)
- OPERATIONAL IMPACT
Impact #1 [Process Optimization - Predictive Maintenance]
Problems are indicated to line operators when the condition of a device or associated equipment changes beyond predetermined limits.
Impact #2 [Efficiency Improvement - Maintenance]
Real-time status reports enable maintenance personnel to remotely diagnose the status of a device.
Impact #3 [Efficiency Improvement - Installation]
Technicians are able to query instruments remotely during commissioning to confirm device functionality.
- QUANTITATIVE BENEFIT
The Foundation fieldbus network eliminated reduced overall wiring costs by 15%.
The time required to install and commission 300 smart field devices was shortened by 3 weeks.
75% in installation and commissioning times were 75% shorter than with traditional technologies.