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What is COLUMBO?

A universal multivariable optimizer, designed for closed-loop systems, aims to improve the performance and quality of Model Predictive Control (MPC) systems. This optimizer harnesses data from Excel files derived from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson, facilitating the development and fine-tuning of precise models for various multivariable-controller variable (MV-CV) pairs. This cutting-edge optimization solution does away with the need for step tests that are usually required by Aspen Tech and Honeywell, functioning entirely in the time domain to maintain user-friendliness, compactness, and efficiency. As Model Predictive Controls (MPC) often involve numerous dynamic models—sometimes tens or even hundreds—there is a significant risk of utilizing incorrect models. Inaccurate dynamic models in MPCs can introduce bias, which appears as model prediction errors, leading to inconsistencies between expected signals and actual sensor measurements. COLUMBO emerges as a robust tool to bolster the precision of Model Predictive Control (MPC) models, effectively leveraging either open-loop or fully closed-loop data to guarantee peak performance. By tackling the risks associated with errors in dynamic models, COLUMBO not only enhances the reliability of the control system but also contributes to a more efficient operational framework. Ultimately, its implementation is expected to yield substantial advancements in control system effectiveness across various applications.

What is Apromon?

Apromon is an innovative web-based software tool that specializes in assessing the efficacy of PID loop controls for both standard and Advanced Process Control (APC) systems. It provides evaluations for individual loops as well as cascade setups, diverse APC loops, and signals that do not have an associated controller but still feature a process variable (PV). A notable highlight of Apromon is its capability to convert various controller types—including those managing flow, pressure, temperature, and level—into a single "grade" factor, similar to how educators score students, where a score of 100 indicates peak performance and a score of 0 represents the lowest. The software is designed to operate continuously, conducting evaluations at predefined intervals to guarantee that performance metrics are accurately calculated and saved. In contrast to some other software solutions, Apromon ensures that every tag is monitored without exception, establishing itself as a dependable option for ongoing performance evaluation. This commitment to thorough monitoring not only fosters optimal control over processes but also empowers users with real-time insights to enhance their operational efficiency consistently. As a result, Apromon stands out in the industry for its reliability and comprehensive approach to performance tracking.

Media

Media

Integrations Supported

Aspen DMC3
Microsoft Excel

Integrations Supported

Aspen DMC3
Microsoft Excel

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

PiControl Solutions

Company Location

United States

Company Website

www.picontrolsolutions.com/products/columbo/

Company Facts

Organization Name

PiControl Solutions

Date Founded

1992

Company Location

United States

Company Website

www.picontrolsolutions.com/products/apromon/

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