Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Aspen DMC3
No
Microsoft Excel
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
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/