Plantweb Analytics Update at Emerson Exchange

by , , | Sep 23, 2019 | Event

Emerson’s Manasi Menon and Brian Joe provided an update on Plantweb Analytics at the 2019 Emerson Exchange conference in Nashville. Plantweb Analytics are focused around operational analytics. There are two major categories of operational analytics—principle-driven analytics and data-driven analytics.

Principle-driven analytics include first principle models and rules based, which are based observation and domain expertise. Failure Mode & Effects Analysis (FMEA) is an example of rules-based analytics. Analytics can be applied at many levels—components, assets, process units & complex assets, plant-wide and multiple plants. Different tools are applied at different levels and getting this analysis into the right hands for action is critical.

Brian highlighted a Plantweb Insight
Pressure Relief device application uses acoustic sensing technology with Plantweb Insight data-driven statistical models. This continuous monitoring application can reduce unplanned shutdowns, emissions and regulatory fines associated with these emissions.

Another application is the Plantweb Insight Network Management application to manage the WirelessHART network within a facility. Plantweb Insight principle driven models help determine areas where the network may require additional communications support for the network to maintain robustness and reliability.

The Plantweb Insight Power Module Management application provides early indication when wireless devices need their power module replaced. The maintenance can then be planned and scheduled. The Plantweb Insight Cooling Tower application predicts water quality issues, overall cooling water availability and the health of components in cooling towers such as pumps.

Corrosion and Erosion continuous monitoring provide early warning of internal problems in piping and vessels. Solutions include both intrusive and non-intrusive sensing that can be wired or wireless. Another application is a Connected Lighting application to control lighting based on motion, daylight & darkness and other parameters to improve energy usage.

Some Plantweb Insight applications include gas monitoring, Coriolis meter performance, heat recovery steam generators, and valve health.

Manasi described some advanced analytics applications. Emerson acquired KNet (Knowledge Net) which is based machine learning to perform root cause analysis and other deep analytical functions. The roadmap includes increased connectivity to additional data sources based on industry standards and key platforms such as Microsoft Azure Data Lakes and OSI PI Asset Framework to name a few.

Deploying an analytics solution begins with data preparation (cleaning, clustering & filtering), then model building, then model validation, then model deployment, then refinement and ongoing validation.

Manasi described root cause analysis with probability as a part of the KNet Analytics software. Adding statistics provides probabilities of the most likely cause of the problem and other likely possibilities. KNet will be integrated with Plantweb Optics over time to help route the issue uncovered to get it into the right hands.

Plantweb Advisor is a principle-driven analytics application around equipment health, asset performance, and energy intensity. Models are based on equipment such as motors, chillers, pumps, compressors and much more.

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The opinions expressed here are the personal opinions of the authors. Content published here is not read or approved by Emerson before it is posted and does not necessarily represent the views and opinions of Emerson.

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