Profit Stepper

Profit Stepper provides a highly automated and interactive environment to execute and track the progress of a plant test, with a variety of options for every stage of the controller’s lifecycle from pre-testing to model maintenance. As the test progresses, it provides detailed information on past, current and future manipulated variable (MV) movement as well as summary and variable-by-variable modeling results through clear visual indicators based on rigorous statistical tests.

Designed to work with Honeywell's Experion® PKS and TPS as well as all non-Honeywell OPC compliant platforms, its novel Global Multi-Stage Identification algorithm enables superior model results under open-loop, closed-loop, or any combination of common plant operating conditions. It also automates the traditionally manual tasks of data collection and plant testing, significantly reducing the engineering effort.

Profit Stepper’s direct integration with Profit Design Studio provides a single environment for all related tasks, including data collection, test visualization, plant testing and online identification of dynamic models used for process control and optimization. Its interactive runtime user interface provides at-a-glance visualizations for test progress and feedback for key test and modeling parameters and is well-suited for capabilities ranging from novice to expert.

Profit Stepper dramatically reduces the time and effort required for multivariable controller step testing. It has a unique ability to allow testing of the plant as both a mixed closed-loop and open-loop structure while the existing Profit Controller application continues to execute. In comparison, traditional testing technologies normally require a temporary decommissioning of the advanced process control application or ongoing ‘repositioning’ of the process to achieve desired results, thus increasing test time, complicating model identification and affecting overall process performance.

​Profit Stepper reduces the time required for multivariable controller step testing by 40-60% while providing higher quality models than standard plant testing procedures and other automated solutions. In addition, it significantly lowers and in some cases, eliminates offline model ID time requirements. Users enjoy great ease of use during installation, set up and utilization, and benefit from more targeted and efficient controller maintenance.