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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Enhance the precision and sustainability of Advanced Process Control (APC) models by integrating both linear and nonlinear variables through deep learning techniques, thereby expanding their operational capabilities. Achieve better return on investment by facilitating swift controller implementation, ongoing model enhancements, and more streamlined workflows that simplify the process for engineers. Transform the model development landscape with artificial intelligence and refine controller tuning via intuitive wizards that guide users in defining both linear and nonlinear optimization goals. Boost controller availability by utilizing cloud technology to access, visualize, and analyze real-time Key Performance Indicators (KPIs). In the fast-paced global market, energy and chemical industries must adapt with agility to satisfy consumer demands and optimize profit margins. Aspen DMC3 represents cutting-edge digital technology that empowers companies to realize a 2-5% increase in throughput, a 3% enhancement in yield, and a 10% decrease in energy consumption. Explore the innovative advancements in next-generation advanced process control technology and discover the transformative impact it can have on operations. This technology not only boosts efficiency but also supports sustainable practices within the industry.

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 

Screenshots View All

Screenshots View All

Integrations

Aspen DMC3 No 
COLUMBO Yes 
Microsoft Excel No 

Integrations

Aspen DMC3 Yes 
COLUMBO No 
Microsoft Excel Yes 

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
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 Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Aspen Technology

Country

United States

Website

www.aspentech.com/en/products/msc/aspen-dmc3

Vendor Details

Company Name

PiControl Solutions

Country

United States

Website

www.picontrolsolutions.com/products/columbo/

Product Features

Oil and Gas

Compliance Management No 
Equipment Management No 
Inventory Management No 
Job Costing No 
Logistics Management No 
Maintenance Management No 
Material Management No 
Project Management No 
Resource Management No 
Scheduling No 
Work Order Management No 

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