PlantPAx

PlantPAx

Rockwell Automation
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About

MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.

About

Producers like you are adept at navigating the complexities and challenges of staying competitive. This is true in a variety of industries ranging from pharmaceuticals, consumer packaged goods, and food and beverage to mining and chemical. That’s why it’s so important to implement the latest technological advancements to continue your ever-evolving digital transformation journey. From the control room to the board room, process system users face the persistent challenges of balancing productivity against budget and resource constraints as well as proactively addressing evolving operational risks. Meet these challenges and experience real productivity gains in all areas of your plant with the PlantPAx distributed control system (DCS). System features positively impact the lifecycle of your plant operations by ensuring that plant-wide and scalable systems drive productivity, improve profitability, and reduce overall risks for operations.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings

Audience

Platform that helps producers make better, faster process control decisions

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MPCPy
United States
github.com/lbl-srg/MPCPy

Company Information

Rockwell Automation
Founded: 1903
United States
www.rockwellautomation.com/en-us/capabilities/process-solutions/process-systems/plantpax-distributed-control-system.html

Alternatives

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INCA MPC

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AVEVA APC

AVEVA APC

AVEVA
Pavilion8

Pavilion8

Rockwell Automation

Categories

Categories

Integrations

AADvance Control System
ControlLogix SIL 2
Python
Trusted Control System
Ubuntu

Integrations

AADvance Control System
ControlLogix SIL 2
Python
Trusted Control System
Ubuntu
Claim MPCPy and update features and information
Claim MPCPy and update features and information
Claim PlantPAx and update features and information
Claim PlantPAx and update features and information