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Description
Apromon is a web-based software solution designed for assessing the performance of PID loop controls, including both primary and Advanced Process Control (APC) loops. It offers a comprehensive evaluation for individual loops, cascade configurations, APC loops, and even for signals that only have a process variable (PV) without a connected controller. One of Apromon's standout features is its ability to automatically translate various types of controllers—such as those for flow, pressure, temperature, and level—into a unified “grade” factor, similar to the scores teachers assign to students during evaluations. This grading system ranges from 0 to 100, where 100 represents optimal performance and 0 signifies the lowest. Furthermore, Apromon operates continuously, ensuring that performance metrics are consistently calculated and stored without any interruptions, unlike some competing products that may overlook certain tags during monitoring. This relentless dedication to performance tracking guarantees that users have real-time insights into their control systems' efficiency at all times.
Description
A closed-loop universal multivariable optimizer is designed to enhance both the performance and quality of Model Predictive Control (MPC) systems. This optimizer utilizes data from Excel files sourced from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson to develop and refine accurate models for various multivariable-controller variable (MV-CV) pairs. This innovative optimization technology eliminates the need for step tests typically required by Aspen Tech and Honeywell, operating entirely within the time domain while remaining user-friendly, compact, and efficient. Given that Model Predictive Controls (MPC) can encompass tens or even hundreds of dynamic models, the possibility of incorrect models is a significant concern. The presence of inaccurate dynamic models in MPCs leads to bias, which is identified as model prediction error, manifesting as discrepancies between predicted signals and actual measurements from sensors. COLUMBO serves as a powerful tool to enhance the accuracy of Model Predictive Control (MPC) models, effectively utilizing either open-loop or fully closed-loop data to ensure optimal performance. By addressing the potential for errors in dynamic models, COLUMBO aims to significantly improve overall control system effectiveness.
API Access
Has API
API Access
Has API
Integrations
Aspen DMC3
Microsoft Excel
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
PiControl Solutions
Founded
1992
Country
United States
Website
www.picontrolsolutions.com/products/apromon/
Vendor Details
Company Name
PiControl Solutions
Country
United States
Website
www.picontrolsolutions.com/products/columbo/
