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What is Seeq?

Seeq stands out as the pioneering application dedicated to the analysis of process data. It allows users to search their datasets, enrich them with context, model and cleanse the information, identify patterns, set boundaries, and work together in real-time with time series data. Regardless of your operational data system or process historian—be it OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation, or Inductive Automation's Ignition—Seeq can seamlessly connect and begin functioning within minutes. While the current discussions around predictive analytics, machine learning, and data science are prevalent, they often overlook the pressing issues that analytics-focused organizations encounter. Moreover, leveraging the expertise of your existing workforce is essential. Promoting collaboration and capturing knowledge are vital components for enhancing the sharing and effective reuse of analytical efforts. Furthermore, the capability to swiftly disseminate insights to those who need them can significantly drive improvements in outcomes and decision-making processes.

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.

Media

Media

Integrations Supported

APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Timestream
Aspen InfoPlus
Azure Marketplace
Emerson DeltaV
Emerson Ovation
Honeywell Uniformance
Ignition SCADA
PARCview
Proficy Smart Factory MES
Telegraf
Visual KPI
dataPARC Historian

Integrations Supported

Aspen DMC3
Microsoft Excel

API Availability

API Availability

Pricing Information

$1000.00/year/user

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Seeq Corporation

Date Founded

2013

Company Location

United States

Company Website

www.seeq.com

Company Facts

Organization Name

PiControl Solutions

Company Location

United States

Company Website

www.picontrolsolutions.com/products/columbo/

Categories and Features

Data Analysis

Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Statistical Modeling

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