Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
Python
No
Ubuntu
No
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