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ease
features
design
support

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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.

Description

Navigating the complexities of industrial processes presents a significant challenge for businesses striving to be both responsive to market demands and economically viable. To meet these challenges, manufacturers are required to refine their production techniques in order to offer an expanded range of higher-value items while also accommodating shorter production runs. It is essential for them to enhance output, optimize operational efficiency, and elevate product quality to the fullest extent permitted by their existing equipment. Achieving this necessitates maximizing equipment uptime and facilitating smoother transitions while minimizing waste. Furthermore, there is an increasing expectation from the public for manufacturers to lessen their environmental footprint and adhere to strict emissions regulations. Rockwell Automation Pavilion8® Model Predictive Control (MPC) technology serves as an advanced intelligence layer that integrates with automation systems, continuously steering the plant toward achieving a multitude of business goals—including cost savings, reduced emissions, consistent quality, and increased production—while operating in real time. This innovative approach not only enhances operational effectiveness but also aligns with sustainability initiatives, positioning manufacturers for success in an evolving marketplace.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Aspen DMC3
Microsoft Excel

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

Country

United States

Website

www.picontrolsolutions.com/products/columbo/

Vendor Details

Company Name

Rockwell Automation

Founded

1903

Country

United States

Website

www.rockwellautomation.com/en-us/products/software/factorytalk/operationsuite/pavilion8.html

Product Features

Manufacturing

Accounting Integration
ERP
MES
MRP
Maintenance Management
Purchase Order Management
Quality Management
Quotes/Estimates
Reporting/Analytics
Safety Management
Shipping Management

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

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