iXyber APC Runner
The execution environment of the algorithms in the Advanced Process Control (APC): multi-parameter controllers (MPC), virtual analyzers (VA).
Provides integration with the PCS and other information systems, as well as the implementation of the engineer's user interface for the ACSTP
For what 
As a process operator, I want an automated assistant for managing and optimizing the technological process
As a Production Director, I want to ensure maximum efficiency of technological and production processes and assets while considering constraints
iXyber APC Runner - provides reliable connectivity with data sources, implements APC algorithms, and features a user-friendly interface for engineers and operators to configure and manage the system.
Configuration and Management
The settings screen provides the ability to modify configuration and operational parameters of multi-parameter controllers (MPC) and virtual analyzers (VA), as well as to switch their operating modes
- Enable / disable
- Selection of Optimization Type
- Set the value for the variable
- Set the lower and upper limits
- Set the setpoint
- Set the step
- Selection of criticality
- Editing the transfer function coefficients
- Changing the transfer function operating mode
(forecast / control)
- Enable / disable
- Selection of Optimization Type
- Set the value for the variable
- Set the lower and upper limits
- Set the setpoint
- Set the step
- Selection of criticality
Monitoring
APC monitoring allows tracking the operation modes of MPC and VA, assessing parameter changes over time, and calculating performance indicators of the SACS
-
Trends and user-defined trend groups; - Occurrence history:
-
parameter changes by users; - internal occurrences of computational applications;
- Export of historical data based on templates.
- Trends and user-defined trend groups;
- Occurrence history:
- parameter changes by users;
- internal occurrences of computational applications;
- Export of historical data based on templates.
Simulation
The simulation mode allows for autonomous testing of the controller using its mathematical models, safely applied to the technological process and various operating modes
- Controller parameter settings,
display of values, and their editing - Monitoring and configuring individual variables
- Time-based simulation monitoring
- Occurrence history within the controller
