Softwares

Control management

The TriCLPM (Trisolutions Control Loop Performance Monitor) is useful to:

  1. Monitor the efficiency of the industrial process.
  2. Locate the problem, indicating the critical loop with poor performance through a highly intuitive interface.
  3. Diagnose the cause and define corrective actions through management and detailing graphics.
  • More agility and security in the diagnosis. Generation and monitoring of corrective actions in a simple, fast and integrated way, creating a bank with the solutions found.
  • Tracking of alterations in the controllers tuning.
  • Adition of new analysis through plug-ins.
  • Enables predictive maintenance.

EVEN MORE:

  • Low hardware and software requirements.
  • Easy installation and configuration, with results already on the 1st day.
  • Performance Notes (KPIs) easily customizable.
  • Web View
  • E-mail notifications.
  • Direct communication with OPC data server (Ole for Process Control) or proprietary interface.
  • Configurable access permissions.
  • Export reports in PDF and CSV formats.

Linear and non-linear multivariable predictive controller

The TriNMPC (Trisolutions Non-linear Model Predictive Controller) was developed to take the process to its best operating point in each scenario, always using the most efficient path, even when the process is quite complex, with many inter-relational variables. The non-linear MPC, for example, is highly recommended for polymerization reactors and high purity fractionating columns, while the linear version may be applied in a wide range of industrial processes.

    • It is versatile, adapting to any production process
    • Works with state space models, ensuring greater reliability and better performance.
    • It can be implemented using a distributed architecture and it is accessible remotely.
    • Indicated for processes with more than one operating point.
    • Works with phenomenological models of the process and types identified as models, polynomial, empirical and semiempirical.
    • Pre-configuration environment and control tuning.
    • Online simulation module that facilitates the controller adjustment before its application in the industrial process.
    • Interface display with predictions and process model.
    • Filtering system, pre-processing and data reconciliation.
    • State estimator based on Kalman filter, which allows process model correction in real time.
    • Works with rigid and ponderable restrictions, with multiple tracks and allows the controlled variables to operate by track or setpoint.
    • Provides a layer of linear optimization that defines targets and setpoints for the controller.
    • Direct communication with OPC data server (Ole for Process Control) or proprietary interface.

 

Real time optimizer

The TriOT is an optimization software that acts directly on the operation of the production process, constantly seeking the most favorable economic scenario. More agile than other optimization software, it calculates the next best operating point from the one at which it is operating, making fast and efficient incremental corrections. It is perfect for boilers and furnaces optimization, and it can be applied in other processes such as, for example, oil platforms production optimization.

      • Best benefit-cost ratio in optimization
      • Fully integrated with the operating system already utilized by the technical team, whichever it is
      • The results are really significant and are fast uncovered

EVEN MORE:

      • Low requirements of hardware and software.
      • Direct communication with OPC data server (Ole for Process Control) or proprietary interface.

Alarm systems management

The application has several analisys and statistics that enable performance evaluation of the plant’s alarm system with the metrics and ratios as recommended by EEMUA191 and ISA SP 18. 2 standards. It is divided into basic modules according to the desired type of analysis:

Frequency module: it generates reports on alarm events to detect villains and equipment problems, distribute occurrences of alarms by priority, perform totalization analysis and monitor the progress of the industrial unit behavior with comparative analysis between different periods.

Duration module: it generates statistics analyzing the duration of time and alarm recognition. Identifies alarms neglected by the operation, noisy and with short time for operator action, equipment in maintenance, among other problems.

Advanced module: it displays the relation between alarms; identifies avalanche periods; finds recurrent and intermittent alarms; calculates alarm histogram; among other features. Increases understanding of the alarms dynamics and, by consequence, the accuracy of their cycles management.

Rationalization module: it controls and manages alterations. It documents informations about each alarm, making it available to operators, automatically detects and records the history of alterations in the alarms.

WHY SHOULD YOU DO IT?

      • Easy reports and fully configurable
      • Communication with MS Excel®
      • Automatic updates
      • Different permissions and features per user
      • Remote web access
      • Reports and performance indicators
      • Alterations management

 

Automatic tuning of PID controllers

The TriTuning enables the standardization of a methodology for tuning and it dispenses the use of spreadsheets and manual calculations.

Control loop disturbance module: it applies peak signs in the process variables in the form of steps or relays, in open (on the manipulated variable) or closed (directly on the setpoint) loop. The control loop variables are sampled during the experiment and collected in real time, enabling the test’s visualization and the realization of possible interventions and adjustments. The process data of the disturbance test are recorded so that new identifications are performed offline.

Identification and tuning module: it analyzes the information recorded by the control loop disturbance module, identifies plant dynamics and proposes tunings for the control loop based on the set of techniques that the user chooses. The integration between the control loop disturbance module and the identification and tuning module enables that the process model is simultaneously identified to the test, streamlining the calculation of a new tuning.

WHY SHOULD YOU DO IT?

      • Tuning calculation already parameterized for the main digital systems of distributed control (SDCDs) and supervisory control used in the industry
      • Several tuning methods available
      • Level control tuning for absorbing disorders (lung feature)
      • Enables offline adjustment based on the data history of the process
      • Direct communication with OPC data server (Ole for Process Control) or proprietary interface.
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