Integrating Asset Management Fields to IO Bubbles

Emerson’s Anand Iyer continues his series on Cloud I/O with a look from an asset management perspective.

Emerson's Anand IyerWe have already perceived some interaction with asset management systems.

The availability of communication paths and higher bandwidth in select paths will enable more functions to be done with asset management applications in the future.

Instrument Upgrades. Availability of higher bandwidth may enable the instrument vendor to upgrade the transmitter or field control device remotely. This would probably happen with some work order protocol or maybe some transmitters may have this function disabled, which would be enabled during a shutdown.

Upgrades would typically add enhancements to the signal conditioning and add more features to the transmitter.

Multicast messages may allow multiple transmitters that have upgrade feature enabled to be upgraded simultaneously. Or, maybe some may be upgraded simultaneously, while some transmitters would need individual selection while some would need a shutdown.

If there were sensor clusters rather than a singular sensor in a transmitter, then the asset management software would probably allow selection of sensors from among the cluster available.

Asset Management Parameters Useful in Control System. With IO bubbles, it may be possible to pass the alarm information based on individual sensor diagnostics (for example, diagnostic information text is stored in the transmitter and transmitted as Diagnostic Alarm – Diagnostic information Text).

Control systems could take preemptive measures like selecting alternate transmitters on failure, go to other predetermined state or hold the values as per current practices.

If a transmitter is able to predict the correct amount of drift, then the transmitter would probably send this to the control system. Control systems could use advanced algorithms or other parameters to assess the effect this drift has on the process control as a whole and provide more realistic setpoints. If the drift calculation is not correct, then a corresponding inaccurate control result would be noted and passed back to the transmitter.

Systems could probably use the diagnosis to add more meaning to the status values of signals.

Local and Remote Asset Management. In a typical plant, there are many Smart Rosemount bubble transmitters. Now the plant adds a new train or new facility and x number of Smart Rosemount bubble transmitters get added.

The IO cloud would inform the presence of x number of more transmitters. Asset management systems could add them to their existing list automatically. Parameters could get uploaded from field devices (or downloaded from the asset management application as the case may be).

The remote asset management application connected to the plant systems with a local asset management application immediately knows that there are x number of additions. Upgrade, patches and other aspects would be taken care for these transmitters.

Additional Possibilities. The IO cloud system proposed has many network paths. The asset management device information comes via a separate path and does not impede the control system parameter paths in any way. More information can be sent and received from the field devices to the asset management systems.

Third party applets could be developed for each type of transmitters and higher analysis done.

As a hypothetical example:

“Pressure swing regeneration of a adsorbed bed” image by Daniele Pugliesi, http://jimc.me/WI2qVi, used under a Creative Commons license: http://creativecommons.org/licenses/by/3.0/deed.en

A pressure transmitter in a pressure swing adsorption (PSA) system measures bed pressure. It is facing a lot of pressure changes within a few minutes.

Applet A in the asset management application is the normal calibration and trimming and other functions.

Applet B in the asset management application (optional) gets the pressure variation and some other parameters from the transmitter and measures the deformation of the diaphragm. This is then used to predict the actual versus indicated pressure. This is presented in the asset management application in the form of charts, calculated values, etc.

Applet C in the asset management software uses the information from Applet B and applies continuous correction to the transmitter output reading.

Applet and widget development in the asset management application could likely revolutionize the use of asset management and bring a host of benefits. A widget for a pressure transmitter in slurry applications, one for PSA, and so on would mean that the asset management application can be customized not only based on the transmitter type, but also on the application in which it is used.

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