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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

MPCPy is a Python library designed to support the testing and execution of occupant-integrated model predictive control (MPC) within building systems. This tool emphasizes the application of data-driven, simplified physical or statistical models to forecast building performance and enhance control strategies. It comprises four primary modules that provide object classes for data importation, interaction with real or simulated systems, data-driven model estimation and validation, and optimization of control inputs. Although MPCPy serves as a platform for integration, it depends on various free, open-source third-party software for model execution, simulation, parameter estimation techniques, and optimization solvers. This encompasses Python libraries for scripting and data manipulation, along with more specialized software solutions tailored for distinct tasks. Notably, the modeling and optimization tasks related to physical systems are currently grounded in the specifications of the Modelica language, which enhances the flexibility and capability of the package. In essence, MPCPy enables users to leverage advanced modeling techniques through a versatile and collaborative environment.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python No 
Ubuntu No 

Integrations

Python Yes 
Ubuntu Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
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) No 
In Person No 

Vendor Details

Company Name

PiControl Solutions

Founded

1992

Country

United States

Website

www.picontrolsolutions.com/products/apromon/

Vendor Details

Company Name

MPCPy

Country

United States

Website

github.com/lbl-srg/MPCPy

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