What's the development of best practices for the instrumentation?

Answer 1

Instrumentation goes hand in hand with measurement

How do you improve the measurement of your instrumentation? One thing is for sure: What is not and cannot be measured, cannot be improved. Any data-driven approach for continuous improvement in manufacturing requires definition, ongoing tracking, and reporting of key performance indicators against targets. This is as relevant in the boardroom with management as it is on the shop floor with the field instruments and systems that enable highly precise measurement, data acquisition, and analysis.

What is the point of providing the tools and applications to steward manufacturing operations conformance against targets and constraints, if the basic means are not in place? In this case, you can’t measure the operation.

Changing times in instrumentation

Many facilities were built at a point in time—some as far back as the ‘70s and ‘80s—for a particular process, a certain level of control, and a certain suite of optimization applications.

Today, the world is grappling with the impacts of the COVID-19 pandemic, and these facilities are now being operated and maintained at skeleton staffing levels. They are being retooled for a different service than their original design.

Operating envelopes are changing, and the effect of these changes on field instrumentation must not be underestimated. Instrumentation with a design rating of a particular flow rate or capacity is stressed heavily when the service or load is increased substantially. In some cases, the instrumentation for the original service is unsuitable for the new service and needs to be swapped out. This is especially the case for low-grade instrumentation that does not have the resilience of higher quality devices that can be repurposed for the new service/operating envelope. For legacy instrumentation this can be a real issue: It reduces the effectiveness of the instrumentation, resulting in periods when the plant is subject to sub-par control. This can impact plant safety and reliability, as well as profitability. Profitability can be significantly hurt because the product on the backend of the process either is burned (e.g., from an erroneous temperature measurement) or material is produced off-spec.

Newer instruments, which have been designed to retrofit well into existing infrastructure, can handle these situations much better.

Here are a few examples from refinery operations:

● Refining plants have changed their manufacturing recipes to manufacture products

that their trains/lines have not produced in a long time, if at all.

● While everyone is social distancing, refineries are trying to minimize the production of jet fuel and gasoline

to produce more chemical feedstock.

Everywhere, some units have been turned up, others turned down, and some shut down altogether. These changes impact instrumentation.

Measurement device/data considerations

Situational awareness forms the basis of effective decision making in process facilities. The foundation for situational awareness is the plant data itself, gathered from the various devices on the front line. With context and relationship, plant process data measurements constitute information. Increasing context, connectedness, and patterns/relationships, and the understanding thereof, leads to knowledge and insight.

This knowledge and insight are fundamental to effective decision making in plant operations. They are made easier through data analytics—which itself is underpinned by the quality of the fundamental plant data. Only with robust plant data can the true potential of analytics be realized. For facilities to be safe, responsive, and adaptive, plant data management can no longer be viewed as an afterthought or down the pecking order in terms of the plant management hierarchy.

Four important plant measurement device/data considerations are governance, propagation, sufficiency, and trust.

Three actions for better instrumentation

So what can be done during the current operational changes to improve or ensure the proper operation of instrumentation? Try one or more of the following

actions.

Answer 2

The development of best practices for instrumentation involves researching industry standards and guidelines, collaboration with experts in the field, and gathering feedback from users. It also requires testing and iterating on the instrumentation in real-world scenarios to optimize performance and usability. Regularly updating and refining these best practices is key to staying current with advancements in technology and practices.