Plant asset management tools remotely monitor field device performance, health and process interface conditions, resulting in proactive, predictive maintenance and less downtime.
Example applications include impulse line blocking diagnostics for differential pressure transmitters, heat/steam trace diagnostics for a group of pressure transmitters, electrode adhesion diagnostics for magnetic flowmeters, gland packing diagnostics for control valves, and valve health monitoring.
When used with Yokogawa's InsightSuiteAE services, Plant Resource Manager (PRM) can monitor the KPIs of devices throughout a plant.
FieldMate 3.0 is a PC based tool that enables you to see intelligent field devices clearly, know their condition in advance, and act with agility throughout maintenance work flow.
Plant Resource Manager (PRM) is a key platform for the Yokogawa VigilantPlant Asset Excellence initiative which aims to improve operations and maintenance and maximize the reliability and availability of plant assets by achieving greater predictability.
Advanced Analytical Instrument Management System (AAIMS) provides real-time asset maintenance management for a wide range of on-line/in-line process analyzers from simple analytical devices such as pH, conductivity and O2 as well as for complex analytical devices such as gas chromatographs (GC) and Near Infrared (NIR).
Analyzer Management and Data Systems (AMADAS) are meant to monitor, maintain, determine and improve the performance of on-line process analyzers. Yokogawa's Advanced Analytical Instrument Management System (AAIMS) is one step ahead, in that it provides real-time asset maintenance management for a wide range of on-line/in-line process analyzers from simple analytical devices such as pH, conductivity and O2 as well as for complex analytical devices such as gas chromatographs (GC) and Near Infrared (NIR).
With the increasing demand for energy that has accompanied the economic growth of newly industrialized nations, companies need to find every possible way to add value and max out the efficiency of their production processes. And they must find a way to do this without doing harm to the environment and while complying with stringent HSE regulations.
Process automation end users are under more pressure than ever to do more with less. The current economic climate means that many automation capital projects are on hold. With capital budgets tighter than ever, users instead focus on operational budgets (where cost cutting is also a key concern), or on automation investments with a very rapid return on investment.
The new CSPC (CNOOC and Shell Petrochemicals Company Limited) petrochemical complex at Daya Bay in southern China is one of the world's largest process industry projects (see box, Figure 1 and Table). It has a control system to match. Process Worldwide spoke to Johan Veerman, principal instrument and process control engineer at CSPC, about the challenges of managing such a huge job.
Predictive maintenance allows to schedule plant maintenance before a failure occurs only when it is necessary, greatly reducing unnecessary inspection and improving productivity. Yokogawa's Asset Excellence initiative helps its customers make their plant asset condition predictable and performance sustainable.
Combining smart instruments, analyzers and valves with a modern asset management system can provide faster response to incidents, enable proactive maintenance, and reduce downtime.
Yokogawa's Raju Seshadri reveals the latest trends in predictive maintenance solutions. We all dream of being able to see into the future, of being able to predict what will happen before it has, and taking decisive action before something negative occurs later.
Asset management systems need to be able to handle more data and present information in better formats if plant managers are to move towards proactive maintenance, says John van der Geer, industrial automation marketing manager at Yokogawa Europe.
Martin te Lintelo, Yokogawa Europe B.V., The Netherlands, discusses high level control system design for LNG receiving terminals. As demand for LNG increases worldwide, players face seemingly conflicting challenges. On one hand, they must expand capacity in different regions, make the business and production as agile and adaptive as possible, and improve operational efficiency.
Intelligent field instruments and process analyzers accumulate diverse field information including process values and diagnostic results. This data needs to be sent to upper systems such as distributed control systems (DCS) via digital communications such as FOUNDATION Fieldbus and analyzer buses, or hybrid communications such as HART and Brain, and visualized to enable the customer to utilize them for plant operations and maintenance.
As field instrumentation devices become increasingly digitized and computerized, interactive and remote access to a large quantity of field information becomes possible. This will increase the efficiency of plant equipment maintenance by reducing labor requirements in field patrol work for example.
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